SlideShare ist ein Scribd-Unternehmen logo
1 von 11
Downloaden Sie, um offline zu lesen
International Journal of Engineering Research and Development
e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com
Volume 13, Issue 2 (February 2017), PP.44-54
44
Parametric Transient Thermo-Electrical PSPICE Model For
A Single And Dual Conductor Power Cable
Ralph Schacht 1*
,Sven Rzepka 2
1
Brandenburgische Technische Universitaet Cottbus-Senftenberg, Germany
2
Fraunhofer Enas, Chemnitz, Germany
ABSTRACT:A parametric macro model for a single and dual conductor power cable for transient
thermo-electrical coupled simulation in PSPICE will be derived. The articledepicts the modelling of a simplified,
single- and dual conductor cable and its use during simulation. Its verification against experiment and finite
element simulation shows a good agreement. The derived single- and dual conductor PSPICE cable macro model
enables a quick modelling at system level. It offers a time saving transient thermo-electrical simulation under
various thermal conditions and cable geometries and to optimize e.g. size, weight. The approach support the
engineer to overlook the thermal influences and temperatures along the power cable under real ‘thermal’
assembling conditions in an e.g. car engine room or aircraft.
Keywords: multi conductor power cable;coupledelectro-thermal macro model; transient, PSPICE
I. INTRODUCTION
With the increasing use of hybrid and electric vehicles, new challenges arise for the high-voltage
electrical system.Power cable should therefore be able to conduct high currents with the lowest possible weight
and under the increasing thermal stresses of the cable sheathing material. To optimize the electrical, weight and
reliability demands, it is useful to know the conductor core and the cable surface temperature in respect to
application conditions. These include the installation (conduction, convection and radiation), the ambient
temperature and the transient electrical load (e.g. PWM).Transient analytical temperature calculations are only
incompletely possible and numerical FE simulations cause high computing costs.
In literature [1 -5], the main motivation for research efforts has been the determination of the
steady-state and transient temperature rises in electric conductors carrying, constant loads, cyclic loads or short
overloads. In [6, 7], the partial differential equations for radial heat conduction in circular insulated conductors
have been solved by the use of Bessel functions. The complexity of this approach makes it difficult to apply it in
a comprehensive manner, e.g. to handle several conductors. Another approach to solve the heat transfer in
electronic components is based in the usage of lumped equivalent thermal models. The results provided by this
models have shown a good correlation[8-11]. The IEC 60287 Standard [12], which is well established in the
industry, described the use of this modelling approach. Itis based on electro-thermal analogy and has the great
advantage of intuitively understanding and can be easy implemented in a circuit simulator. It allows an easy
modelling of more complex electric systems.
This lumped equivalent thermal model approach will picked up to implement a library element for a
multi conductor cable to the application in a common network simulator,e.g. PSPICE.
In the following the approach, the results and the modelling for a single [13] and dual conductor cable
will be given. The approach will be verified by a numerical ANSYS model and by experiment. For the
experimental verification, a set-up to measure thetemperatureswas developed. It allows to determine the
conductor core, cable isolation and cable surface temperature by using thermocouples and an infrared camera.
A. Approach
The approach is to divide a cable into segments, which can be described as macro modules in a circuit
simulator (Figure 1). Each segment then can be assigned with the same or different thermal boundary condition,
depends on its build-in location during its course through an e.g. vehicle.
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
45
Fig. 1: The cable is divided into segments to describe its build-in location during its course.
Figure 2a and 2b show the modelling for a single and a dual conductor cable over the cable course.
Each segment is assigned by the same material and geometry properties, but can be assigned with different
thermal boundary condition, like conduction or convection and radiation.
Fig.2:The segments, in form of the macro modules, can be piece wisely connected in series to modelthe
cable under different thermal boundary conditions a) single conductor cable, b) dual conductor cable.
Table 1 sums up the considered module parameter to describe the parametric input variables, like the
current (static, transient), the temperature depend material properties, the geometric dimension and the boundary
conditions. At the cable ends the terminal temperature will be also considered.
Table I: PSPICE cable module input parameters and thermal boundary conditions.
Electrical
parameter
Thermal
parameter
Geometry
parameter
Boundaryconditions
 core l TTerminal
 iso dcore TAmb
I (static, transient) cp tiso hconv
 hrad
To model and simulate the coupled behavior,the circuit simulator PSPICE was chosen. A circuit
simulator offers the advantage to model electrical and thermal behaviour and to have a time-saving transient
simulation on one simulator platform. This is possible, because the electrical and thermal behavior depends of
the same physically analogy.So, the thermal behaviour can be describedeasily in anequivalent thermal network
and the heat flux asa result of the electrical power loss of the temperature depended electrical conductor
resistance. Connecting both, the electrical and thermal network, a macro modulecan be realized.
In addition to the discrete temperatures of the cable conductor and the cable sheath, the
temperature-dependent voltage drop and the core resistance can be supplied via each cable module. 1 V
represents 1 ° C.
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
46
Figure 3 presents the principle approach for the parametric thermo-electric coupled macro module of a
single and double ladder cable. Table 2 shows the electrical, thermal, geometry and boundary parameters
involved.
Fig.3:Principle approach for the parametric thermo-electric coupled macro module for a) single
conductor cable and b) a dual conductor cable.
Table II: Material and geometry data as input for ANSYS and PSPICE models
lCable
[m]
dCore
[mm]
dIso
[mm]
dSheath
[mm]
Cu
[W/Km]
iso
[W/Km]
sheath
[W/Km]
Cu
[g/m³]
0.4 2.5 5 12 400 0.3 0.3 8950
iso
[g/m³]
sheath
[g/m³]
CpCu
[Ws/kgK]
Cp_Iso
[Ws/kgK]
Cp_sheath
[Ws/kgK]
Cu
[S/m]
Cu
[1/K]
950 950 381 1400 1400 59 0,00385
To enhance the accuracy a segment can be easily described by several sub-divided modules. To
implement the electrical and thermal network in a handynetwork simulator library element, figure 4shows the in
PSPICE realized macro modules for a single and a dual conductor cable. The given necessary model parameter
belongs to the library element.
Fig.4:Implemented PSPICE library elements for a) single conductor cable and b) a dual conductor cable.
II. RESULTS
In the following the results and itscomparisonand accuracy will be given for the single and dual
conductor cableapproach.
A. Single conductor cable model
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
47
Figure 5adelivers the temperature behavior with respect to conductor length. To show the temperature
dependent electrical behavior of the resistance(R = f(T) and R≠ f(T)) the results of a finite-element simulation,
using ANSYS, is additional given.
Fig.5:Conductor core temperature with respect to a) cable length (R = f(T) und R≠ f(T)) and b) to current
through the cable.
With increasing conductor length the temperature depending effect can be noticed, as expected.
Withincreasing the discretization of the conductorthe temperature behavior fits smoother to the ANSYS result.
The use of 5 modules (PSPICE 5- modules) in series instead of only one module (PSPICE 1-module) leads here
to a better accuracy.
Figure 5bdelightsthe temperature behavior with respect to the current through the cable. Here can be
noticed that up to I = 5 A,a discretization is neglectable.
Figure 6 and table 3 validates the results of the experiment and the ANSYS simulation with the results
of the PSPICE simulation. In this case a discretization of four over the cable length was chosen.
Fig. 6:Validation of the results between a) the experiment using an IR-camera,b) the ANSYS Model
and c) the PSPICE model
The temperatures at the cable terminals are determined by experimental investigation and were used as
input parameters for the ANSYS and PSPICE model setup. The temperatures were measured by using
thermo-couples assembled at the terminals, the centre of the cable surface by IR-thermography.
Table III.Comparison between the experiment, the ANSYS Model and the PSPICE model(TAmb = 23.6 °C).
variable Experiment ANSYS PSPICE
T core, center[°C] - 26.61 28.6
T Iso,center[°C] 29 26.56 28.4
T IN [°C] 32 32 32
T OUT [°C] 27 27 27
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
48
In case of the temperature different between the T core, center to T Iso, center, the results show a quite good
agreement between the ANSYS and PSPICE simulation. And even the measured
T Iso, centervalues fit quite well to the simulated ones.
B. Dual conductor cable model
Figure 7a verifies the experimental setup,which is described more in detail in section IV. It shows the
cable temperatures at different load currentsthrough conductor core 1,I1,for natural convection.The temperatures
were measured by thermo-couplesinstalled in different regions of the cable. The current through conductor
core 2 was off, I2 = 0 A. The used cable length was l = 1 m and the cable surface had an area of A = 12 mm².
The temperature behaviors show, as expected, a grading from the conductor core 1 over the isolation
layer in direction to the cable sheath 1 andas well as the grading behaviour of the inactive conductor 2 compared
the active conductor 1.
Fig.7: a) Evaluation of measured temperature values for a dual conductor cable for different load currents in
conductor core 1(I1) using thermo-couples, I2 = 0 A b) Comparison between the experimental results and the
ANSYS and PSPICE simulation results for different load currents in conductor core 1 (I1), I2 = 0 A.
Figure 7b compares the experimental results for the investigated dual conductor cable with the ANSYS and
PSPICE simulation results for different load currents in the active conductor core 1 (I1), I2 = 0 A.Depending on the
load current intensity, the deviations between simulation and measurement results were up to 10%. However, this
can be reduced by a more detailed discretization.
Figure 7b shows additional the centre cross section of the ANSYS model and the mesh for a two-core
cable with the insulation layer and its sheath as well as the temperature distribution at the electrical loads I1 = 50
A and I2 = 0 A. The thermal boundary conditions were set to hconv = 10 W/m²K and TTerminal = 33 ° C (symmetry
axis on half the cable length).
Figure 8 shows the transient temperature behavior in both cable conductors, with a stepwise current
increase from I1 = 0 A to 50 A, I2 = 0 A. The boundary conditions of the experiment were determined for the
PSPICE simulation so that they corresponded to the values of the external temperature sensors.
Fig. 8:Comparison between the experimental and PSPICE simulation results: Transient thermalstep responseat
the middle of the cable length (l = 0.2 m) for I1 = 50 A, I2 = 0 A, l = 0.4 m, hconv = 10 W/m²K, TTerminals = 33 °C,
TAmb = 28 °C.
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
49
Figure 9 shows the PSPICE model for this transient investigation. In this case a discretization of two
was chosen.The comparison shows a relatively good agreement between the temporal behavior of the
temperatures in the active and passive conductor core (table 4). The deviations are between 4% (passive
conductor) and 10% (active conductor).
Fig.9:PSPICE model for transient investigation with a discretization of two modules.
Table IV:Comparison between the experiment, the ANSYS Model and the PSPICE model at
t = 1800 s (T Amb = 28 °C, hconv = 10 W/mK).
variable Experiment PSPICE
T core1, center [°C] 56.4 61
T core2, center [°C] 46.8 48.7
T IN [°C] 33 33
T OUT [°C] 33 33
III. DISCUSSION
The modelling is based on a semi-analytical approach, which delivers an approximation of the real
geometry and the boundary condition of a multi-conductor cable. In this case, a higher discretization of the cable
length when using several macro modules leads to better results compared to e.g. ANSYS results. It can be
noticed that a discretization up to five modules for cable length of one metre show satisfactory thermal
simulation results for the investigated ranges of the electrical current and to heat transfer coefficient.
Acomparison with the experimental results shows satisfactory results as well.A first error estimate was
made between the PSPICE model, the FE model, and the experiment. The error between the experiment and
ANSYS model results was found to ~ 8% while the error between the experiment and PSPICE model was ~ 3%.
Also the transient comparison of a dual conductor cable PSPICE model shows a relatively good
agreement between the temporal behavior of the temperatures in the active and passive conductor core. The
deviations are conservative and between 4% (passive conductor) and 10% (active conductor).
It can be stated in principle that the approach can be used for further investigation of complex cable
harnesses on system level. Future research activities are planned in the direction to transfer the approach to a
real cable harnesses system installed in e.g. an engine compartment.
IV. MODELING
In order to model the electrical and thermal behavior of a single- or double-conductor cable, the
electrical and thermal subsystem must be subdivided in consideration of the physical relationship between
electrical power dissipation and core temperature. The analytical description of the physical behavior for each
subsystem must be based on the assumption that each subsystem can be transformed into the PSPICE circuit
simulator language.Afterwards, both subsystems are coupled and the PSPICE library model can be created.
First, the modeling for a single-conductor cable with simplified single-layer insulation is described
below. After that the modelling of a dual conductor cable will be shown.
Equation (1) describes the equilibrium relationship between the thermal and the electrical quantities.
Here, the thermal convection 𝑄conv. [W] and radiation 𝑄rad. [W] as well as the electrical power loss PD [W]. The
power loss can befurther described by the electrical current I [A] and the temperature-depended electrical
resistance of the electrically conductive conductorR(T) [].
)(2
.. TRIPQQ Dradconv   (1)
A. Electrical system behaviour
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
50
The electrical part of the system focusses on the simulation of the temperature-dependent electrical
resistance of the electrically conductive conductor. The thermo-electrical behavior description of a single or dual
conductor cable is identically. With the help of system-theoretical functions, the properties of the PSPICE
network simulator could be reproduced.
Equations (2) and (3) describe the electrically temperature-dependent resistance behaviorR(T) and the
electrically temperature-dependent power loss behaviour PD(T).
  Amb
core
TT
r
l
TR 


 

1
)(
)( 2 (2)
  ITVTRITPD  )()(2
(3)
B. Thermal system behaviour
The thermo-electrical system description for a single and dual conductor cable is varying, because of
different thermal paths. Therefore this subsection is divided into two parts.
B.1One conductor cable
Figure 10 shows the geometrical definitions for the analytical description of the thermal resistances in
the longitudinal direction (a) of the conductor core and vertically (b) from the conductor core through the cable
insulation to the environment.
Fig.10:Thermal modeling of the cable behavior a) in longitudinal direction of the conductor core and b)
vertically to the conductor core.
Equation (4) derives the thermal resistancealong the conductor core using the input parameter thermal
conductivity core [W/ m K].
2_
2
corecore
coreth
r
l
R



(4)
The thermal resistance between ambient and the cable surface (isolation layer) is given in (5).
l
r
r
R
iso
core
Iso
Isoth








2
ln
_
(5)
Equation (6) describes the heat resistance due to the heat transfer coefficient due to the convection over
the cable surface using the macro model input parameterhconv [W/m²K].
Isoconvconv
convth
rlhAh
R




2
11
_ (6)
The heat transfer and the thermal resistance due to radiation over cable surface is given in (7) and (8).
 
  






Km
W
TT
TT
h
AmbS
AmbSS
rad 2
44

(7)
Isoradrad
radth
rlhAh
R




2
11
_ (8)
Equations (9) and (10) describe the transient properties using the thermal heat capacities of the
conductor core and the insulation layer.
2
,_ corecorecorepcoreth rlcC   (9)
 22
,_ coreIsoISOIsopIsoth rrlcC   (10)
B.1.2Singleconductor cable model in PSPICE
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
51
Figure 11 shows the thermo-electric coupled model in developed in PSPICE and its input parameters
(material and geometry data, electrical and thermal boundary conditions) and the designed library element.
Fig.11: a) PSPICE model description, b) library symbol of the macro module.
B.2. Dual conductor cable
Equation (11) describes the thermal resistance of the conductor core between the cable end terminals.
2
2
2,1_
corecore
l
coreth
r
R



, (11)
The thermal resistance for the cable isolation and the cable sheathing can be found by means of the
equations (12) and (13).
lx
r
r
R
isoai
core
Iso
aiIsoth








2
ln
,
,_
(12)
lx
r
r
R
sheathai
Iso
sheath
aisheathth








2
ln
,
,_
(13)
The parameters xi and xa(figure 12) describe the radial portion of the heat interactionbetween the
conductor coresand to the cable surface.
Fig.12:Modelling the thermal interaction between the conductors and to the cable surface.
It depends on the core and cable diameter as well as the conductor spacing. In a first approximation,
xi = xa =1
2
can be set here (equation 14).
ai xx 1 (14)
Equation (15) describes the convective heat resistance which acts across the cable surface, with the use
of the heat transfer coefficient hconv [W/m²K].
sheathconvconv
convth
rlhAh
R





11
2,1_ (15)
According to [14], for natural convection the heat transfer coefficient hconv can be described as a
function of the cable surface diameter d [m] and the surface temperature difference to ambient T [K] according
to equation (16).
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
52
 
2
6
1
2
1
0932.1
1
1254.0














 T
d
hconv (16)
The heat radiation across the cable surface is modelled by equations (17) and (18)using the emissivity
, the Stefan-Boltzmann constantS [W/K4
m²] and the surface temperature TS [K] and the ambient
temperature TAmb [K].
 
  






Km
W
TT
TT
h
AmbS
AmbSS
rad 2
44

(17)
Isoradrad
radth
rlhAh
R





11
2,1_
(18)
Equations (19-21) determine the thermal capacitances cth,xx using the specific heat capacities cp,xx
[Ws/kgK] and material densities XX [kg/m³] for the conductor core as well as the insulation and sheathing
material.
2
,_ coreKerncoreCupcoreth rlcC   (19)
 22
,_ coreIsoIsoIsopIsoth rrlcC   (20)
 22
,_ Isosheathsheathsheathpsheathth rrlcC   (21)
V. EXPERIMENTAL SET-UP FOR TWO-CORE CABLE
For the experimental verification of the simulation model, J-type thermos-couple sensors were inserted
by drilling holes into the two conductor cable as given in figure 13. The diameter of a sensor is d = 0.5 mm.
Fi.13:Arrangement / assembling of the temperature sensors.
Additional temperature sensors were measuring the temperatures at the terminals of the cable ends as
well as the ambient temperature.
VI. CONCLUSIONS
With the extended double core conductor cable PSPICE model, transient simulations can be investigated
at system level under various thermal and electrical boundary conditions, as well as cable materials and
geometries, taking into account the insulation and sheath structure. The static validation between the PSPICE, FE
model and the experiment shows a suitable agreement. This is dependent on the discrediting of the cable length.
The transient PSPICE model behavior has also shows an acceptable agreement.
REFERENCES
[1]. MiticIustinianNeac, Andreea Maria Neac, An Example of SPICE Modeling for Electrothermal
Phenomena, Annals of the University of Craiova, Electrical Engineering series, No. 32, 2008; ISSN
1842-4805
[2]. Hans-Peter Schmidt, Efficient Simulation of Thermal and Electrical Behaviour of Industrial Cables,
Modeling and Simulation, Giuseppe Petrone and Giuliano Cammarata (Ed.), 2008, ISBN:
978-3-902613-25-7, InTech
[3]. D. Thompson and M. Wilson. Thermal analysis of a multicore cable. Generation, Transmission and
Distribution, IEE Proceedings, 135(1):79–80, 1988. ISSN 0143-7046.
[4]. B. Weedy. Dynamic current rating of overhead lines. Electric Power Systems Research, 16(1):11–15,
1989. ISSN 0378-7796. doi: 10.1016/0378-7796(89)90032-1.
[5]. D. Van Dommelen, R. Van Den Broeck, and J. Steffens. Two-dimensional quasistationary temperature
rise in multicable configurations under arbitrary cyclic load. IEEE Transactions on Power Apparatus and
Systems, PAS-98(1):66–71, Jan 1979. ISSN 0018-9510. doi: 10.1109/TPAS.1979.319514.
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
53
[6]. A. Bernath, D. B. Olfe, and J. F. Martin. Short-term transient temperature calculations and measurements
for underground power cables. IEEE Transactions on Power Delivery, 1(3):22–27, July 1986. ISSN
0885-8977. doi: 10.1109/TPWRD.1986.4307970.
[7]. J. Jaeger and G. H. Newstead. Transient heating of buried cables. Proceedings of the IEE - Part C:
Monographs, 105(7):57–60, March 1958. ISSN 0369-8904. doi: 10.1049/pi-c.1958.0010.
[8]. D. Douglass. Radial and axial temperature gradients in bare stranded conductor. IEEE Power
Engineering Review, PER-6(4):26–26, April 1986. ISSN 0272-1724. doi:
10.1109/MPER.1986.5527706
[9]. D. Thompson and M. Wilson. Thermal analysis of a multicore cable. Generation, Transmission and
Distribution, IEE Proceedings, 135(1):79–80, 1988. ISSN 0143-7046.
[10]. R. S. Olsen, J. Holboll, and U. Gudmundsdottir. Dynamic temperature estimation and real time
emergency rating of transmission cables. In IEEE proceedings on Power and Energy Society General
Meeting, pages 1–8, 2012. doi: 10.1109/PESGM.2012.6345324.
[11]. R. J. Millar and M. Lehtonen. Real-time transient temperature computation of power cables including
moisture migration modelling. In 15th Power Systems Computation Conference, Liege, 22-26 August,
2005
[12]. IEC 60287-1-1. Electrical cables – calculation of the current rating – Part 1: – current rating equations
(100% load factor) and calculation of losses – general. International Electrotechnical Commission,
December 2006.
[13]. Ralph Schacht, Sven Rzepka, Bernd Michel, Parametric Transient Thermo-Electrical PSPICE-Model for
a Power Cable, , 19th International Workshop onTHERMaliNvestigation of ICs and Systems, 2013,
Berlin, Germany
[14]. AudriusIlgevicius. Analytical and numerical analysis and simulation of heat transfer in electrical
conductors and fuses. PhD thesis, Universität der Bundeswehr München, Fakultät für Elektrotechnik und
Informationstechnik, 2004.
NOMENCLATURE
A area, m²
l cable length, m
d diameter, m
r radius, m
t isolation thickness, m
x parameter, -
PD electrical power dissipation, W
R electrical resistive, 
V Voltage, V
I current, A
 electrical conductivity, S/m
 electrical temperature coefficient, 1/K
Qconvthermal convection, W
Qradthermal radiation, W
Qel electrical power dissipation, W
Tambambient temperature, K
T temperature difference, K
h heat transfer coefficient, W/m²K
Rth thermal resistive, K/W
 thermal conductivity, W/mK
Cth thermal capacitance, Ws/K
cp specific heat capacitance, Ws/kgK
 density, g/m³
 surface emissivity, -
s Stefan-Boltzmann constant, W/K4
m²
Subscripts
Coreconductor metal core
iso core isolation layer
sheathcover of cable
Ssurface
rad radiation
Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual
54
convconvection
Abbreviation
PWMPulse Width Modulation
BC Boundary Condition

Weitere ähnliche Inhalte

Was ist angesagt?

Design of a Sample and Hold Circuit using Rail to Rail Low Voltage Compact Op...
Design of a Sample and Hold Circuit using Rail to Rail Low Voltage Compact Op...Design of a Sample and Hold Circuit using Rail to Rail Low Voltage Compact Op...
Design of a Sample and Hold Circuit using Rail to Rail Low Voltage Compact Op...IJERA Editor
 
Determination of transient thermal characteristics for thermal electric behav...
Determination of transient thermal characteristics for thermal electric behav...Determination of transient thermal characteristics for thermal electric behav...
Determination of transient thermal characteristics for thermal electric behav...journalBEEI
 
Model to Evaluate the Performance of Building Integrated Photovoltaic Systems...
Model to Evaluate the Performance of Building Integrated Photovoltaic Systems...Model to Evaluate the Performance of Building Integrated Photovoltaic Systems...
Model to Evaluate the Performance of Building Integrated Photovoltaic Systems...IJECEIAES
 
IRJET- Partial Discharge Investigation of Insulators using Simulation
IRJET- Partial Discharge Investigation of Insulators using SimulationIRJET- Partial Discharge Investigation of Insulators using Simulation
IRJET- Partial Discharge Investigation of Insulators using SimulationIRJET Journal
 
PHYSICAL MODELING AND SIMULATION OF THERMAL HEATING IN VERTICAL INTEGRATED ...
PHYSICAL MODELING AND SIMULATION  OF THERMAL HEATING IN VERTICAL  INTEGRATED ...PHYSICAL MODELING AND SIMULATION  OF THERMAL HEATING IN VERTICAL  INTEGRATED ...
PHYSICAL MODELING AND SIMULATION OF THERMAL HEATING IN VERTICAL INTEGRATED ...ijcses
 
Matlab simulink based-analysis of photovoltaic array fed multilevel boost con...
Matlab simulink based-analysis of photovoltaic array fed multilevel boost con...Matlab simulink based-analysis of photovoltaic array fed multilevel boost con...
Matlab simulink based-analysis of photovoltaic array fed multilevel boost con...Alexander Decker
 
Temperature dependence of microwave characteristics of n++ np ++ Si IMPATT di...
Temperature dependence of microwave characteristics of n++ np ++ Si IMPATT di...Temperature dependence of microwave characteristics of n++ np ++ Si IMPATT di...
Temperature dependence of microwave characteristics of n++ np ++ Si IMPATT di...IOSR Journals
 
KICKBACK NOISE ANALYSIS OF LOW POWER COMPARATOR
KICKBACK NOISE ANALYSIS OF LOW POWER COMPARATORKICKBACK NOISE ANALYSIS OF LOW POWER COMPARATOR
KICKBACK NOISE ANALYSIS OF LOW POWER COMPARATORijsrd.com
 
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...ijcsa
 
electronic-structure_of_aluminum_nitride_-_theory
electronic-structure_of_aluminum_nitride_-_theoryelectronic-structure_of_aluminum_nitride_-_theory
electronic-structure_of_aluminum_nitride_-_theoryStephen Loughin
 
The main factors affecting on value of maximum power point photovoltaic model...
The main factors affecting on value of maximum power point photovoltaic model...The main factors affecting on value of maximum power point photovoltaic model...
The main factors affecting on value of maximum power point photovoltaic model...Ali Mahmood
 
Structural, Electronic and Gamma Shielding Properties of BxAl1-xAs
Structural, Electronic and Gamma Shielding Properties of BxAl1-xAsStructural, Electronic and Gamma Shielding Properties of BxAl1-xAs
Structural, Electronic and Gamma Shielding Properties of BxAl1-xAsIJMERJOURNAL
 
Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...
Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...
Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...ecij
 
COMPREHENSIVE ANALYSIS AND SIMULATION OF MULTILEVEL POWER CONVERTERS TO CURTA...
COMPREHENSIVE ANALYSIS AND SIMULATION OF MULTILEVEL POWER CONVERTERS TO CURTA...COMPREHENSIVE ANALYSIS AND SIMULATION OF MULTILEVEL POWER CONVERTERS TO CURTA...
COMPREHENSIVE ANALYSIS AND SIMULATION OF MULTILEVEL POWER CONVERTERS TO CURTA...ecij
 

Was ist angesagt? (19)

Design of a Sample and Hold Circuit using Rail to Rail Low Voltage Compact Op...
Design of a Sample and Hold Circuit using Rail to Rail Low Voltage Compact Op...Design of a Sample and Hold Circuit using Rail to Rail Low Voltage Compact Op...
Design of a Sample and Hold Circuit using Rail to Rail Low Voltage Compact Op...
 
COMSOL Presentation
COMSOL PresentationCOMSOL Presentation
COMSOL Presentation
 
Determination of transient thermal characteristics for thermal electric behav...
Determination of transient thermal characteristics for thermal electric behav...Determination of transient thermal characteristics for thermal electric behav...
Determination of transient thermal characteristics for thermal electric behav...
 
ECTC Presentation
ECTC PresentationECTC Presentation
ECTC Presentation
 
The Linear Model of a PV moduel
The Linear Model of a PV moduelThe Linear Model of a PV moduel
The Linear Model of a PV moduel
 
Model to Evaluate the Performance of Building Integrated Photovoltaic Systems...
Model to Evaluate the Performance of Building Integrated Photovoltaic Systems...Model to Evaluate the Performance of Building Integrated Photovoltaic Systems...
Model to Evaluate the Performance of Building Integrated Photovoltaic Systems...
 
IRJET- Partial Discharge Investigation of Insulators using Simulation
IRJET- Partial Discharge Investigation of Insulators using SimulationIRJET- Partial Discharge Investigation of Insulators using Simulation
IRJET- Partial Discharge Investigation of Insulators using Simulation
 
PHYSICAL MODELING AND SIMULATION OF THERMAL HEATING IN VERTICAL INTEGRATED ...
PHYSICAL MODELING AND SIMULATION  OF THERMAL HEATING IN VERTICAL  INTEGRATED ...PHYSICAL MODELING AND SIMULATION  OF THERMAL HEATING IN VERTICAL  INTEGRATED ...
PHYSICAL MODELING AND SIMULATION OF THERMAL HEATING IN VERTICAL INTEGRATED ...
 
Matlab simulink based-analysis of photovoltaic array fed multilevel boost con...
Matlab simulink based-analysis of photovoltaic array fed multilevel boost con...Matlab simulink based-analysis of photovoltaic array fed multilevel boost con...
Matlab simulink based-analysis of photovoltaic array fed multilevel boost con...
 
Temperature dependence of microwave characteristics of n++ np ++ Si IMPATT di...
Temperature dependence of microwave characteristics of n++ np ++ Si IMPATT di...Temperature dependence of microwave characteristics of n++ np ++ Si IMPATT di...
Temperature dependence of microwave characteristics of n++ np ++ Si IMPATT di...
 
KICKBACK NOISE ANALYSIS OF LOW POWER COMPARATOR
KICKBACK NOISE ANALYSIS OF LOW POWER COMPARATORKICKBACK NOISE ANALYSIS OF LOW POWER COMPARATOR
KICKBACK NOISE ANALYSIS OF LOW POWER COMPARATOR
 
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
Effect of mesh grid structure in reducing hot carrier effect of nmos device s...
 
Gz3412811286
Gz3412811286Gz3412811286
Gz3412811286
 
00103262
0010326200103262
00103262
 
electronic-structure_of_aluminum_nitride_-_theory
electronic-structure_of_aluminum_nitride_-_theoryelectronic-structure_of_aluminum_nitride_-_theory
electronic-structure_of_aluminum_nitride_-_theory
 
The main factors affecting on value of maximum power point photovoltaic model...
The main factors affecting on value of maximum power point photovoltaic model...The main factors affecting on value of maximum power point photovoltaic model...
The main factors affecting on value of maximum power point photovoltaic model...
 
Structural, Electronic and Gamma Shielding Properties of BxAl1-xAs
Structural, Electronic and Gamma Shielding Properties of BxAl1-xAsStructural, Electronic and Gamma Shielding Properties of BxAl1-xAs
Structural, Electronic and Gamma Shielding Properties of BxAl1-xAs
 
Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...
Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...
Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...
 
COMPREHENSIVE ANALYSIS AND SIMULATION OF MULTILEVEL POWER CONVERTERS TO CURTA...
COMPREHENSIVE ANALYSIS AND SIMULATION OF MULTILEVEL POWER CONVERTERS TO CURTA...COMPREHENSIVE ANALYSIS AND SIMULATION OF MULTILEVEL POWER CONVERTERS TO CURTA...
COMPREHENSIVE ANALYSIS AND SIMULATION OF MULTILEVEL POWER CONVERTERS TO CURTA...
 

Ähnlich wie Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual Conductor Power Cable

New Mexico State University .docx
New Mexico State University                                   .docxNew Mexico State University                                   .docx
New Mexico State University .docxhenrymartin15260
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
 
The use of ekf to estimate the transient thermal behaviour of induction motor...
The use of ekf to estimate the transient thermal behaviour of induction motor...The use of ekf to estimate the transient thermal behaviour of induction motor...
The use of ekf to estimate the transient thermal behaviour of induction motor...Mellah Hacene
 
One-dimensional Lumped-Circuit for Transient Thermal Study of an Induction El...
One-dimensional Lumped-Circuit for Transient Thermal Study of an Induction El...One-dimensional Lumped-Circuit for Transient Thermal Study of an Induction El...
One-dimensional Lumped-Circuit for Transient Thermal Study of an Induction El...IJECEIAES
 
Analytical Thermal Circuit Fastwarm Cathodes
Analytical Thermal Circuit Fastwarm CathodesAnalytical Thermal Circuit Fastwarm Cathodes
Analytical Thermal Circuit Fastwarm CathodesTMD Technologies Limited
 
Elk 26-6-32-1711-330
Elk 26-6-32-1711-330Elk 26-6-32-1711-330
Elk 26-6-32-1711-330Mellah Hacene
 
Darkawi_et_al_CEIDP_2012_VF_IEEE
Darkawi_et_al_CEIDP_2012_VF_IEEEDarkawi_et_al_CEIDP_2012_VF_IEEE
Darkawi_et_al_CEIDP_2012_VF_IEEEAbdallah Darkawi
 
Cascade forward neural network based on resilient backpropagation for simulta...
Cascade forward neural network based on resilient backpropagation for simulta...Cascade forward neural network based on resilient backpropagation for simulta...
Cascade forward neural network based on resilient backpropagation for simulta...Mellah Hacene
 
RESEARCH ON INDUCTION HEATING - A REVIEW
RESEARCH ON INDUCTION HEATING - A REVIEWRESEARCH ON INDUCTION HEATING - A REVIEW
RESEARCH ON INDUCTION HEATING - A REVIEWEditor IJCATR
 
The Application of Artificial Intelligence Techniques for Modeling and Simula...
The Application of Artificial Intelligence Techniques for Modeling and Simula...The Application of Artificial Intelligence Techniques for Modeling and Simula...
The Application of Artificial Intelligence Techniques for Modeling and Simula...MohammadMomani26
 
Karimanal thrml co_design_itherm2010_final
Karimanal thrml co_design_itherm2010_finalKarimanal thrml co_design_itherm2010_final
Karimanal thrml co_design_itherm2010_finalKamal Karimanal
 
Simulation and Partial Discharge Measurement in 400kv Typical GIS Substation
Simulation and Partial Discharge Measurement in 400kv Typical GIS SubstationSimulation and Partial Discharge Measurement in 400kv Typical GIS Substation
Simulation and Partial Discharge Measurement in 400kv Typical GIS SubstationIOSR Journals
 
The study of semiconductor layer effect on underground cables with Time Domai...
The study of semiconductor layer effect on underground cables with Time Domai...The study of semiconductor layer effect on underground cables with Time Domai...
The study of semiconductor layer effect on underground cables with Time Domai...IOSR Journals
 
Artificial neural network approach for more accurate solar cell electrical ci...
Artificial neural network approach for more accurate solar cell electrical ci...Artificial neural network approach for more accurate solar cell electrical ci...
Artificial neural network approach for more accurate solar cell electrical ci...ijcsa
 
Thermal aware task assignment for multicore processors using genetic algorithm
Thermal aware task assignment for multicore processors using genetic algorithm Thermal aware task assignment for multicore processors using genetic algorithm
Thermal aware task assignment for multicore processors using genetic algorithm IJECEIAES
 

Ähnlich wie Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual Conductor Power Cable (20)

28
2828
28
 
New Mexico State University .docx
New Mexico State University                                   .docxNew Mexico State University                                   .docx
New Mexico State University .docx
 
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)
 
The use of ekf to estimate the transient thermal behaviour of induction motor...
The use of ekf to estimate the transient thermal behaviour of induction motor...The use of ekf to estimate the transient thermal behaviour of induction motor...
The use of ekf to estimate the transient thermal behaviour of induction motor...
 
J010337176
J010337176J010337176
J010337176
 
One-dimensional Lumped-Circuit for Transient Thermal Study of an Induction El...
One-dimensional Lumped-Circuit for Transient Thermal Study of an Induction El...One-dimensional Lumped-Circuit for Transient Thermal Study of an Induction El...
One-dimensional Lumped-Circuit for Transient Thermal Study of an Induction El...
 
Analytical Thermal Circuit Fastwarm Cathodes
Analytical Thermal Circuit Fastwarm CathodesAnalytical Thermal Circuit Fastwarm Cathodes
Analytical Thermal Circuit Fastwarm Cathodes
 
Elk 26-6-32-1711-330
Elk 26-6-32-1711-330Elk 26-6-32-1711-330
Elk 26-6-32-1711-330
 
Darkawi_et_al_CEIDP_2012_VF_IEEE
Darkawi_et_al_CEIDP_2012_VF_IEEEDarkawi_et_al_CEIDP_2012_VF_IEEE
Darkawi_et_al_CEIDP_2012_VF_IEEE
 
Simulation Models of Energy Cables in SPICE
Simulation Models of Energy Cables in SPICESimulation Models of Energy Cables in SPICE
Simulation Models of Energy Cables in SPICE
 
Electro thermal model of lion a1 02
Electro thermal model of lion a1 02Electro thermal model of lion a1 02
Electro thermal model of lion a1 02
 
Cascade forward neural network based on resilient backpropagation for simulta...
Cascade forward neural network based on resilient backpropagation for simulta...Cascade forward neural network based on resilient backpropagation for simulta...
Cascade forward neural network based on resilient backpropagation for simulta...
 
RESEARCH ON INDUCTION HEATING - A REVIEW
RESEARCH ON INDUCTION HEATING - A REVIEWRESEARCH ON INDUCTION HEATING - A REVIEW
RESEARCH ON INDUCTION HEATING - A REVIEW
 
The Application of Artificial Intelligence Techniques for Modeling and Simula...
The Application of Artificial Intelligence Techniques for Modeling and Simula...The Application of Artificial Intelligence Techniques for Modeling and Simula...
The Application of Artificial Intelligence Techniques for Modeling and Simula...
 
Karimanal thrml co_design_itherm2010_final
Karimanal thrml co_design_itherm2010_finalKarimanal thrml co_design_itherm2010_final
Karimanal thrml co_design_itherm2010_final
 
Simulation and Partial Discharge Measurement in 400kv Typical GIS Substation
Simulation and Partial Discharge Measurement in 400kv Typical GIS SubstationSimulation and Partial Discharge Measurement in 400kv Typical GIS Substation
Simulation and Partial Discharge Measurement in 400kv Typical GIS Substation
 
The study of semiconductor layer effect on underground cables with Time Domai...
The study of semiconductor layer effect on underground cables with Time Domai...The study of semiconductor layer effect on underground cables with Time Domai...
The study of semiconductor layer effect on underground cables with Time Domai...
 
Artificial neural network approach for more accurate solar cell electrical ci...
Artificial neural network approach for more accurate solar cell electrical ci...Artificial neural network approach for more accurate solar cell electrical ci...
Artificial neural network approach for more accurate solar cell electrical ci...
 
A modeling and performance of the triple field plate HEMT
A modeling and performance of the triple field plate HEMTA modeling and performance of the triple field plate HEMT
A modeling and performance of the triple field plate HEMT
 
Thermal aware task assignment for multicore processors using genetic algorithm
Thermal aware task assignment for multicore processors using genetic algorithm Thermal aware task assignment for multicore processors using genetic algorithm
Thermal aware task assignment for multicore processors using genetic algorithm
 

Mehr von IJERDJOURNAL

Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...
Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...
Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...IJERDJOURNAL
 
The development of the Islamic Heritage in Southeast Asia tradition and futur...
The development of the Islamic Heritage in Southeast Asia tradition and futur...The development of the Islamic Heritage in Southeast Asia tradition and futur...
The development of the Islamic Heritage in Southeast Asia tradition and futur...IJERDJOURNAL
 
An Iot Based Smart Manifold Attendance System
An Iot Based Smart Manifold Attendance SystemAn Iot Based Smart Manifold Attendance System
An Iot Based Smart Manifold Attendance SystemIJERDJOURNAL
 
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSNA Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSNIJERDJOURNAL
 
Human Resource Competencies: An Empirical Assessment
Human Resource Competencies: An Empirical AssessmentHuman Resource Competencies: An Empirical Assessment
Human Resource Competencies: An Empirical AssessmentIJERDJOURNAL
 
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...IJERDJOURNAL
 
Development of Regression Model Using Lasso And Optimisation of Process Param...
Development of Regression Model Using Lasso And Optimisation of Process Param...Development of Regression Model Using Lasso And Optimisation of Process Param...
Development of Regression Model Using Lasso And Optimisation of Process Param...IJERDJOURNAL
 
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...IJERDJOURNAL
 
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)IJERDJOURNAL
 
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...IJERDJOURNAL
 
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...IJERDJOURNAL
 
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...IJERDJOURNAL
 
Analysis of failure behavior of shear connection in push-out specimen by thre...
Analysis of failure behavior of shear connection in push-out specimen by thre...Analysis of failure behavior of shear connection in push-out specimen by thre...
Analysis of failure behavior of shear connection in push-out specimen by thre...IJERDJOURNAL
 
Discrete Time Batch Arrival Queue with Multiple Vacations
Discrete Time Batch Arrival Queue with Multiple VacationsDiscrete Time Batch Arrival Queue with Multiple Vacations
Discrete Time Batch Arrival Queue with Multiple VacationsIJERDJOURNAL
 
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...IJERDJOURNAL
 
Implementing Oracle Utility-Meter Data Management For Power Consumption
Implementing Oracle Utility-Meter Data Management For Power ConsumptionImplementing Oracle Utility-Meter Data Management For Power Consumption
Implementing Oracle Utility-Meter Data Management For Power ConsumptionIJERDJOURNAL
 
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...IJERDJOURNAL
 
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...IJERDJOURNAL
 
Design of Synthesizable Asynchronous FIFO And Implementation on FPGA
Design of Synthesizable Asynchronous FIFO And Implementation on FPGADesign of Synthesizable Asynchronous FIFO And Implementation on FPGA
Design of Synthesizable Asynchronous FIFO And Implementation on FPGAIJERDJOURNAL
 
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...IJERDJOURNAL
 

Mehr von IJERDJOURNAL (20)

Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...
Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...
Predictive Data Mining with Normalized Adaptive Training Method for Neural Ne...
 
The development of the Islamic Heritage in Southeast Asia tradition and futur...
The development of the Islamic Heritage in Southeast Asia tradition and futur...The development of the Islamic Heritage in Southeast Asia tradition and futur...
The development of the Islamic Heritage in Southeast Asia tradition and futur...
 
An Iot Based Smart Manifold Attendance System
An Iot Based Smart Manifold Attendance SystemAn Iot Based Smart Manifold Attendance System
An Iot Based Smart Manifold Attendance System
 
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSNA Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
 
Human Resource Competencies: An Empirical Assessment
Human Resource Competencies: An Empirical AssessmentHuman Resource Competencies: An Empirical Assessment
Human Resource Competencies: An Empirical Assessment
 
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...
Prospects and Problems of Non-Governmental Organizations in Poverty Alleviati...
 
Development of Regression Model Using Lasso And Optimisation of Process Param...
Development of Regression Model Using Lasso And Optimisation of Process Param...Development of Regression Model Using Lasso And Optimisation of Process Param...
Development of Regression Model Using Lasso And Optimisation of Process Param...
 
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...
 
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
Microwave Assisted Sol Gel Synthesis of Magnesium Oxide(Mgo)
 
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
Development of Enhanced Frequency Drive for 3-Phase Induction Motors Submitte...
 
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
Short-Term Load Forecasting Using ARIMA Model For Karnataka State Electrical ...
 
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
Optimal Pricing Policy for a Manufacturing Inventory Model with Two Productio...
 
Analysis of failure behavior of shear connection in push-out specimen by thre...
Analysis of failure behavior of shear connection in push-out specimen by thre...Analysis of failure behavior of shear connection in push-out specimen by thre...
Analysis of failure behavior of shear connection in push-out specimen by thre...
 
Discrete Time Batch Arrival Queue with Multiple Vacations
Discrete Time Batch Arrival Queue with Multiple VacationsDiscrete Time Batch Arrival Queue with Multiple Vacations
Discrete Time Batch Arrival Queue with Multiple Vacations
 
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
Regional Rainfall Frequency Analysis By L-Moments Approach For Madina Region,...
 
Implementing Oracle Utility-Meter Data Management For Power Consumption
Implementing Oracle Utility-Meter Data Management For Power ConsumptionImplementing Oracle Utility-Meter Data Management For Power Consumption
Implementing Oracle Utility-Meter Data Management For Power Consumption
 
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
Business Intelligence - A Gift for Decision Maker for the Effective Decision ...
 
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
Effect of Water And Ethyl Alcohol Mixed Solvent System on the Stability of Be...
 
Design of Synthesizable Asynchronous FIFO And Implementation on FPGA
Design of Synthesizable Asynchronous FIFO And Implementation on FPGADesign of Synthesizable Asynchronous FIFO And Implementation on FPGA
Design of Synthesizable Asynchronous FIFO And Implementation on FPGA
 
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
Prospect and Challenges of Renewable Energy Resources Exploration, Exploitati...
 

Kürzlich hochgeladen

An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...Chandu841456
 
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catcherssdickerson1
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort servicejennyeacort
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...srsj9000
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024hassan khalil
 
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEINFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEroselinkalist12
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxPoojaBan
 
computer application and construction management
computer application and construction managementcomputer application and construction management
computer application and construction managementMariconPadriquez1
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptSAURABHKUMAR892774
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)dollysharma2066
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...VICTOR MAESTRE RAMIREZ
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxbritheesh05
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxwendy cai
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxKartikeyaDwivedi3
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girlsssuser7cb4ff
 

Kürzlich hochgeladen (20)

An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...An experimental study in using natural admixture as an alternative for chemic...
An experimental study in using natural admixture as an alternative for chemic...
 
young call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Serviceyoung call girls in Green Park🔝 9953056974 🔝 escort Service
young call girls in Green Park🔝 9953056974 🔝 escort Service
 
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Serviceyoung call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
young call girls in Rajiv Chowk🔝 9953056974 🔝 Delhi escort Service
 
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor CatchersTechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
TechTAC® CFD Report Summary: A Comparison of Two Types of Tubing Anchor Catchers
 
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort serviceGurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
Gurgaon ✡️9711147426✨Call In girls Gurgaon Sector 51 escort service
 
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
Gfe Mayur Vihar Call Girls Service WhatsApp -> 9999965857 Available 24x7 ^ De...
 
Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024Architect Hassan Khalil Portfolio for 2024
Architect Hassan Khalil Portfolio for 2024
 
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETEINFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
INFLUENCE OF NANOSILICA ON THE PROPERTIES OF CONCRETE
 
Heart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptxHeart Disease Prediction using machine learning.pptx
Heart Disease Prediction using machine learning.pptx
 
computer application and construction management
computer application and construction managementcomputer application and construction management
computer application and construction management
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 
Arduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.pptArduino_CSE ece ppt for working and principal of arduino.ppt
Arduino_CSE ece ppt for working and principal of arduino.ppt
 
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
Call Us ≽ 8377877756 ≼ Call Girls In Shastri Nagar (Delhi)
 
Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...Software and Systems Engineering Standards: Verification and Validation of Sy...
Software and Systems Engineering Standards: Verification and Validation of Sy...
 
Artificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptxArtificial-Intelligence-in-Electronics (K).pptx
Artificial-Intelligence-in-Electronics (K).pptx
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
What are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptxWhat are the advantages and disadvantages of membrane structures.pptx
What are the advantages and disadvantages of membrane structures.pptx
 
Concrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptxConcrete Mix Design - IS 10262-2019 - .pptx
Concrete Mix Design - IS 10262-2019 - .pptx
 
Call Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call GirlsCall Girls Narol 7397865700 Independent Call Girls
Call Girls Narol 7397865700 Independent Call Girls
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 

Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual Conductor Power Cable

  • 1. International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com Volume 13, Issue 2 (February 2017), PP.44-54 44 Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual Conductor Power Cable Ralph Schacht 1* ,Sven Rzepka 2 1 Brandenburgische Technische Universitaet Cottbus-Senftenberg, Germany 2 Fraunhofer Enas, Chemnitz, Germany ABSTRACT:A parametric macro model for a single and dual conductor power cable for transient thermo-electrical coupled simulation in PSPICE will be derived. The articledepicts the modelling of a simplified, single- and dual conductor cable and its use during simulation. Its verification against experiment and finite element simulation shows a good agreement. The derived single- and dual conductor PSPICE cable macro model enables a quick modelling at system level. It offers a time saving transient thermo-electrical simulation under various thermal conditions and cable geometries and to optimize e.g. size, weight. The approach support the engineer to overlook the thermal influences and temperatures along the power cable under real ‘thermal’ assembling conditions in an e.g. car engine room or aircraft. Keywords: multi conductor power cable;coupledelectro-thermal macro model; transient, PSPICE I. INTRODUCTION With the increasing use of hybrid and electric vehicles, new challenges arise for the high-voltage electrical system.Power cable should therefore be able to conduct high currents with the lowest possible weight and under the increasing thermal stresses of the cable sheathing material. To optimize the electrical, weight and reliability demands, it is useful to know the conductor core and the cable surface temperature in respect to application conditions. These include the installation (conduction, convection and radiation), the ambient temperature and the transient electrical load (e.g. PWM).Transient analytical temperature calculations are only incompletely possible and numerical FE simulations cause high computing costs. In literature [1 -5], the main motivation for research efforts has been the determination of the steady-state and transient temperature rises in electric conductors carrying, constant loads, cyclic loads or short overloads. In [6, 7], the partial differential equations for radial heat conduction in circular insulated conductors have been solved by the use of Bessel functions. The complexity of this approach makes it difficult to apply it in a comprehensive manner, e.g. to handle several conductors. Another approach to solve the heat transfer in electronic components is based in the usage of lumped equivalent thermal models. The results provided by this models have shown a good correlation[8-11]. The IEC 60287 Standard [12], which is well established in the industry, described the use of this modelling approach. Itis based on electro-thermal analogy and has the great advantage of intuitively understanding and can be easy implemented in a circuit simulator. It allows an easy modelling of more complex electric systems. This lumped equivalent thermal model approach will picked up to implement a library element for a multi conductor cable to the application in a common network simulator,e.g. PSPICE. In the following the approach, the results and the modelling for a single [13] and dual conductor cable will be given. The approach will be verified by a numerical ANSYS model and by experiment. For the experimental verification, a set-up to measure thetemperatureswas developed. It allows to determine the conductor core, cable isolation and cable surface temperature by using thermocouples and an infrared camera. A. Approach The approach is to divide a cable into segments, which can be described as macro modules in a circuit simulator (Figure 1). Each segment then can be assigned with the same or different thermal boundary condition, depends on its build-in location during its course through an e.g. vehicle.
  • 2. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 45 Fig. 1: The cable is divided into segments to describe its build-in location during its course. Figure 2a and 2b show the modelling for a single and a dual conductor cable over the cable course. Each segment is assigned by the same material and geometry properties, but can be assigned with different thermal boundary condition, like conduction or convection and radiation. Fig.2:The segments, in form of the macro modules, can be piece wisely connected in series to modelthe cable under different thermal boundary conditions a) single conductor cable, b) dual conductor cable. Table 1 sums up the considered module parameter to describe the parametric input variables, like the current (static, transient), the temperature depend material properties, the geometric dimension and the boundary conditions. At the cable ends the terminal temperature will be also considered. Table I: PSPICE cable module input parameters and thermal boundary conditions. Electrical parameter Thermal parameter Geometry parameter Boundaryconditions  core l TTerminal  iso dcore TAmb I (static, transient) cp tiso hconv  hrad To model and simulate the coupled behavior,the circuit simulator PSPICE was chosen. A circuit simulator offers the advantage to model electrical and thermal behaviour and to have a time-saving transient simulation on one simulator platform. This is possible, because the electrical and thermal behavior depends of the same physically analogy.So, the thermal behaviour can be describedeasily in anequivalent thermal network and the heat flux asa result of the electrical power loss of the temperature depended electrical conductor resistance. Connecting both, the electrical and thermal network, a macro modulecan be realized. In addition to the discrete temperatures of the cable conductor and the cable sheath, the temperature-dependent voltage drop and the core resistance can be supplied via each cable module. 1 V represents 1 ° C.
  • 3. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 46 Figure 3 presents the principle approach for the parametric thermo-electric coupled macro module of a single and double ladder cable. Table 2 shows the electrical, thermal, geometry and boundary parameters involved. Fig.3:Principle approach for the parametric thermo-electric coupled macro module for a) single conductor cable and b) a dual conductor cable. Table II: Material and geometry data as input for ANSYS and PSPICE models lCable [m] dCore [mm] dIso [mm] dSheath [mm] Cu [W/Km] iso [W/Km] sheath [W/Km] Cu [g/m³] 0.4 2.5 5 12 400 0.3 0.3 8950 iso [g/m³] sheath [g/m³] CpCu [Ws/kgK] Cp_Iso [Ws/kgK] Cp_sheath [Ws/kgK] Cu [S/m] Cu [1/K] 950 950 381 1400 1400 59 0,00385 To enhance the accuracy a segment can be easily described by several sub-divided modules. To implement the electrical and thermal network in a handynetwork simulator library element, figure 4shows the in PSPICE realized macro modules for a single and a dual conductor cable. The given necessary model parameter belongs to the library element. Fig.4:Implemented PSPICE library elements for a) single conductor cable and b) a dual conductor cable. II. RESULTS In the following the results and itscomparisonand accuracy will be given for the single and dual conductor cableapproach. A. Single conductor cable model
  • 4. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 47 Figure 5adelivers the temperature behavior with respect to conductor length. To show the temperature dependent electrical behavior of the resistance(R = f(T) and R≠ f(T)) the results of a finite-element simulation, using ANSYS, is additional given. Fig.5:Conductor core temperature with respect to a) cable length (R = f(T) und R≠ f(T)) and b) to current through the cable. With increasing conductor length the temperature depending effect can be noticed, as expected. Withincreasing the discretization of the conductorthe temperature behavior fits smoother to the ANSYS result. The use of 5 modules (PSPICE 5- modules) in series instead of only one module (PSPICE 1-module) leads here to a better accuracy. Figure 5bdelightsthe temperature behavior with respect to the current through the cable. Here can be noticed that up to I = 5 A,a discretization is neglectable. Figure 6 and table 3 validates the results of the experiment and the ANSYS simulation with the results of the PSPICE simulation. In this case a discretization of four over the cable length was chosen. Fig. 6:Validation of the results between a) the experiment using an IR-camera,b) the ANSYS Model and c) the PSPICE model The temperatures at the cable terminals are determined by experimental investigation and were used as input parameters for the ANSYS and PSPICE model setup. The temperatures were measured by using thermo-couples assembled at the terminals, the centre of the cable surface by IR-thermography. Table III.Comparison between the experiment, the ANSYS Model and the PSPICE model(TAmb = 23.6 °C). variable Experiment ANSYS PSPICE T core, center[°C] - 26.61 28.6 T Iso,center[°C] 29 26.56 28.4 T IN [°C] 32 32 32 T OUT [°C] 27 27 27
  • 5. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 48 In case of the temperature different between the T core, center to T Iso, center, the results show a quite good agreement between the ANSYS and PSPICE simulation. And even the measured T Iso, centervalues fit quite well to the simulated ones. B. Dual conductor cable model Figure 7a verifies the experimental setup,which is described more in detail in section IV. It shows the cable temperatures at different load currentsthrough conductor core 1,I1,for natural convection.The temperatures were measured by thermo-couplesinstalled in different regions of the cable. The current through conductor core 2 was off, I2 = 0 A. The used cable length was l = 1 m and the cable surface had an area of A = 12 mm². The temperature behaviors show, as expected, a grading from the conductor core 1 over the isolation layer in direction to the cable sheath 1 andas well as the grading behaviour of the inactive conductor 2 compared the active conductor 1. Fig.7: a) Evaluation of measured temperature values for a dual conductor cable for different load currents in conductor core 1(I1) using thermo-couples, I2 = 0 A b) Comparison between the experimental results and the ANSYS and PSPICE simulation results for different load currents in conductor core 1 (I1), I2 = 0 A. Figure 7b compares the experimental results for the investigated dual conductor cable with the ANSYS and PSPICE simulation results for different load currents in the active conductor core 1 (I1), I2 = 0 A.Depending on the load current intensity, the deviations between simulation and measurement results were up to 10%. However, this can be reduced by a more detailed discretization. Figure 7b shows additional the centre cross section of the ANSYS model and the mesh for a two-core cable with the insulation layer and its sheath as well as the temperature distribution at the electrical loads I1 = 50 A and I2 = 0 A. The thermal boundary conditions were set to hconv = 10 W/m²K and TTerminal = 33 ° C (symmetry axis on half the cable length). Figure 8 shows the transient temperature behavior in both cable conductors, with a stepwise current increase from I1 = 0 A to 50 A, I2 = 0 A. The boundary conditions of the experiment were determined for the PSPICE simulation so that they corresponded to the values of the external temperature sensors. Fig. 8:Comparison between the experimental and PSPICE simulation results: Transient thermalstep responseat the middle of the cable length (l = 0.2 m) for I1 = 50 A, I2 = 0 A, l = 0.4 m, hconv = 10 W/m²K, TTerminals = 33 °C, TAmb = 28 °C.
  • 6. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 49 Figure 9 shows the PSPICE model for this transient investigation. In this case a discretization of two was chosen.The comparison shows a relatively good agreement between the temporal behavior of the temperatures in the active and passive conductor core (table 4). The deviations are between 4% (passive conductor) and 10% (active conductor). Fig.9:PSPICE model for transient investigation with a discretization of two modules. Table IV:Comparison between the experiment, the ANSYS Model and the PSPICE model at t = 1800 s (T Amb = 28 °C, hconv = 10 W/mK). variable Experiment PSPICE T core1, center [°C] 56.4 61 T core2, center [°C] 46.8 48.7 T IN [°C] 33 33 T OUT [°C] 33 33 III. DISCUSSION The modelling is based on a semi-analytical approach, which delivers an approximation of the real geometry and the boundary condition of a multi-conductor cable. In this case, a higher discretization of the cable length when using several macro modules leads to better results compared to e.g. ANSYS results. It can be noticed that a discretization up to five modules for cable length of one metre show satisfactory thermal simulation results for the investigated ranges of the electrical current and to heat transfer coefficient. Acomparison with the experimental results shows satisfactory results as well.A first error estimate was made between the PSPICE model, the FE model, and the experiment. The error between the experiment and ANSYS model results was found to ~ 8% while the error between the experiment and PSPICE model was ~ 3%. Also the transient comparison of a dual conductor cable PSPICE model shows a relatively good agreement between the temporal behavior of the temperatures in the active and passive conductor core. The deviations are conservative and between 4% (passive conductor) and 10% (active conductor). It can be stated in principle that the approach can be used for further investigation of complex cable harnesses on system level. Future research activities are planned in the direction to transfer the approach to a real cable harnesses system installed in e.g. an engine compartment. IV. MODELING In order to model the electrical and thermal behavior of a single- or double-conductor cable, the electrical and thermal subsystem must be subdivided in consideration of the physical relationship between electrical power dissipation and core temperature. The analytical description of the physical behavior for each subsystem must be based on the assumption that each subsystem can be transformed into the PSPICE circuit simulator language.Afterwards, both subsystems are coupled and the PSPICE library model can be created. First, the modeling for a single-conductor cable with simplified single-layer insulation is described below. After that the modelling of a dual conductor cable will be shown. Equation (1) describes the equilibrium relationship between the thermal and the electrical quantities. Here, the thermal convection 𝑄conv. [W] and radiation 𝑄rad. [W] as well as the electrical power loss PD [W]. The power loss can befurther described by the electrical current I [A] and the temperature-depended electrical resistance of the electrically conductive conductorR(T) []. )(2 .. TRIPQQ Dradconv   (1) A. Electrical system behaviour
  • 7. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 50 The electrical part of the system focusses on the simulation of the temperature-dependent electrical resistance of the electrically conductive conductor. The thermo-electrical behavior description of a single or dual conductor cable is identically. With the help of system-theoretical functions, the properties of the PSPICE network simulator could be reproduced. Equations (2) and (3) describe the electrically temperature-dependent resistance behaviorR(T) and the electrically temperature-dependent power loss behaviour PD(T).   Amb core TT r l TR       1 )( )( 2 (2)   ITVTRITPD  )()(2 (3) B. Thermal system behaviour The thermo-electrical system description for a single and dual conductor cable is varying, because of different thermal paths. Therefore this subsection is divided into two parts. B.1One conductor cable Figure 10 shows the geometrical definitions for the analytical description of the thermal resistances in the longitudinal direction (a) of the conductor core and vertically (b) from the conductor core through the cable insulation to the environment. Fig.10:Thermal modeling of the cable behavior a) in longitudinal direction of the conductor core and b) vertically to the conductor core. Equation (4) derives the thermal resistancealong the conductor core using the input parameter thermal conductivity core [W/ m K]. 2_ 2 corecore coreth r l R    (4) The thermal resistance between ambient and the cable surface (isolation layer) is given in (5). l r r R iso core Iso Isoth         2 ln _ (5) Equation (6) describes the heat resistance due to the heat transfer coefficient due to the convection over the cable surface using the macro model input parameterhconv [W/m²K]. Isoconvconv convth rlhAh R     2 11 _ (6) The heat transfer and the thermal resistance due to radiation over cable surface is given in (7) and (8).            Km W TT TT h AmbS AmbSS rad 2 44  (7) Isoradrad radth rlhAh R     2 11 _ (8) Equations (9) and (10) describe the transient properties using the thermal heat capacities of the conductor core and the insulation layer. 2 ,_ corecorecorepcoreth rlcC   (9)  22 ,_ coreIsoISOIsopIsoth rrlcC   (10) B.1.2Singleconductor cable model in PSPICE
  • 8. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 51 Figure 11 shows the thermo-electric coupled model in developed in PSPICE and its input parameters (material and geometry data, electrical and thermal boundary conditions) and the designed library element. Fig.11: a) PSPICE model description, b) library symbol of the macro module. B.2. Dual conductor cable Equation (11) describes the thermal resistance of the conductor core between the cable end terminals. 2 2 2,1_ corecore l coreth r R    , (11) The thermal resistance for the cable isolation and the cable sheathing can be found by means of the equations (12) and (13). lx r r R isoai core Iso aiIsoth         2 ln , ,_ (12) lx r r R sheathai Iso sheath aisheathth         2 ln , ,_ (13) The parameters xi and xa(figure 12) describe the radial portion of the heat interactionbetween the conductor coresand to the cable surface. Fig.12:Modelling the thermal interaction between the conductors and to the cable surface. It depends on the core and cable diameter as well as the conductor spacing. In a first approximation, xi = xa =1 2 can be set here (equation 14). ai xx 1 (14) Equation (15) describes the convective heat resistance which acts across the cable surface, with the use of the heat transfer coefficient hconv [W/m²K]. sheathconvconv convth rlhAh R      11 2,1_ (15) According to [14], for natural convection the heat transfer coefficient hconv can be described as a function of the cable surface diameter d [m] and the surface temperature difference to ambient T [K] according to equation (16).
  • 9. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 52   2 6 1 2 1 0932.1 1 1254.0                T d hconv (16) The heat radiation across the cable surface is modelled by equations (17) and (18)using the emissivity , the Stefan-Boltzmann constantS [W/K4 m²] and the surface temperature TS [K] and the ambient temperature TAmb [K].            Km W TT TT h AmbS AmbSS rad 2 44  (17) Isoradrad radth rlhAh R      11 2,1_ (18) Equations (19-21) determine the thermal capacitances cth,xx using the specific heat capacities cp,xx [Ws/kgK] and material densities XX [kg/m³] for the conductor core as well as the insulation and sheathing material. 2 ,_ coreKerncoreCupcoreth rlcC   (19)  22 ,_ coreIsoIsoIsopIsoth rrlcC   (20)  22 ,_ Isosheathsheathsheathpsheathth rrlcC   (21) V. EXPERIMENTAL SET-UP FOR TWO-CORE CABLE For the experimental verification of the simulation model, J-type thermos-couple sensors were inserted by drilling holes into the two conductor cable as given in figure 13. The diameter of a sensor is d = 0.5 mm. Fi.13:Arrangement / assembling of the temperature sensors. Additional temperature sensors were measuring the temperatures at the terminals of the cable ends as well as the ambient temperature. VI. CONCLUSIONS With the extended double core conductor cable PSPICE model, transient simulations can be investigated at system level under various thermal and electrical boundary conditions, as well as cable materials and geometries, taking into account the insulation and sheath structure. The static validation between the PSPICE, FE model and the experiment shows a suitable agreement. This is dependent on the discrediting of the cable length. The transient PSPICE model behavior has also shows an acceptable agreement. REFERENCES [1]. MiticIustinianNeac, Andreea Maria Neac, An Example of SPICE Modeling for Electrothermal Phenomena, Annals of the University of Craiova, Electrical Engineering series, No. 32, 2008; ISSN 1842-4805 [2]. Hans-Peter Schmidt, Efficient Simulation of Thermal and Electrical Behaviour of Industrial Cables, Modeling and Simulation, Giuseppe Petrone and Giuliano Cammarata (Ed.), 2008, ISBN: 978-3-902613-25-7, InTech [3]. D. Thompson and M. Wilson. Thermal analysis of a multicore cable. Generation, Transmission and Distribution, IEE Proceedings, 135(1):79–80, 1988. ISSN 0143-7046. [4]. B. Weedy. Dynamic current rating of overhead lines. Electric Power Systems Research, 16(1):11–15, 1989. ISSN 0378-7796. doi: 10.1016/0378-7796(89)90032-1. [5]. D. Van Dommelen, R. Van Den Broeck, and J. Steffens. Two-dimensional quasistationary temperature rise in multicable configurations under arbitrary cyclic load. IEEE Transactions on Power Apparatus and Systems, PAS-98(1):66–71, Jan 1979. ISSN 0018-9510. doi: 10.1109/TPAS.1979.319514.
  • 10. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 53 [6]. A. Bernath, D. B. Olfe, and J. F. Martin. Short-term transient temperature calculations and measurements for underground power cables. IEEE Transactions on Power Delivery, 1(3):22–27, July 1986. ISSN 0885-8977. doi: 10.1109/TPWRD.1986.4307970. [7]. J. Jaeger and G. H. Newstead. Transient heating of buried cables. Proceedings of the IEE - Part C: Monographs, 105(7):57–60, March 1958. ISSN 0369-8904. doi: 10.1049/pi-c.1958.0010. [8]. D. Douglass. Radial and axial temperature gradients in bare stranded conductor. IEEE Power Engineering Review, PER-6(4):26–26, April 1986. ISSN 0272-1724. doi: 10.1109/MPER.1986.5527706 [9]. D. Thompson and M. Wilson. Thermal analysis of a multicore cable. Generation, Transmission and Distribution, IEE Proceedings, 135(1):79–80, 1988. ISSN 0143-7046. [10]. R. S. Olsen, J. Holboll, and U. Gudmundsdottir. Dynamic temperature estimation and real time emergency rating of transmission cables. In IEEE proceedings on Power and Energy Society General Meeting, pages 1–8, 2012. doi: 10.1109/PESGM.2012.6345324. [11]. R. J. Millar and M. Lehtonen. Real-time transient temperature computation of power cables including moisture migration modelling. In 15th Power Systems Computation Conference, Liege, 22-26 August, 2005 [12]. IEC 60287-1-1. Electrical cables – calculation of the current rating – Part 1: – current rating equations (100% load factor) and calculation of losses – general. International Electrotechnical Commission, December 2006. [13]. Ralph Schacht, Sven Rzepka, Bernd Michel, Parametric Transient Thermo-Electrical PSPICE-Model for a Power Cable, , 19th International Workshop onTHERMaliNvestigation of ICs and Systems, 2013, Berlin, Germany [14]. AudriusIlgevicius. Analytical and numerical analysis and simulation of heat transfer in electrical conductors and fuses. PhD thesis, Universität der Bundeswehr München, Fakultät für Elektrotechnik und Informationstechnik, 2004. NOMENCLATURE A area, m² l cable length, m d diameter, m r radius, m t isolation thickness, m x parameter, - PD electrical power dissipation, W R electrical resistive,  V Voltage, V I current, A  electrical conductivity, S/m  electrical temperature coefficient, 1/K Qconvthermal convection, W Qradthermal radiation, W Qel electrical power dissipation, W Tambambient temperature, K T temperature difference, K h heat transfer coefficient, W/m²K Rth thermal resistive, K/W  thermal conductivity, W/mK Cth thermal capacitance, Ws/K cp specific heat capacitance, Ws/kgK  density, g/m³  surface emissivity, - s Stefan-Boltzmann constant, W/K4 m² Subscripts Coreconductor metal core iso core isolation layer sheathcover of cable Ssurface rad radiation
  • 11. Parametric Transient Thermo-Electrical PSPICE Model For A Single And Dual 54 convconvection Abbreviation PWMPulse Width Modulation BC Boundary Condition