SlideShare ist ein Scribd-Unternehmen logo
1 von 1
Downloaden Sie, um offline zu lesen
Development of a control strategy to test the
capacity and efficiency ageing of a domestic
scale battery energy storage system (BESS)
Richard Parris (parris.richard@outlook.com)
Supervisor: Dr Yehdego Habtay
Introduction/Motivation
Design
Implementation and Results
Conclusions/Scope for Further Work
Key BESS Testing Principles:
1. Cell voltage determined the cycling capacity (maximum
charge and discharge levels).
2. Charging method: Constant Current (CC) followed by
Constant Voltage (CV), within manufacturer limitations.
Discharge method: Constant load (aluminium resistor)
3. Charge energy and elapsed cycle time were checked to
ensure the full BESS capacity was used for each cycle.
• Efficiency degradation is an issue for Lithium ion BESS
• The project successfully quantified efficiency degradation at 0.07%
per cycle over a small number of cycles.
• A robust test strategy and prototype were developed that can be
applied to other Lithium ion BESS for comparison.
• Further work: more cycles of the same type of BESS; testing of
other BESS units; testing under different environmental and
electrical conditions; variation of the length of both active cycling
and resting time.
References
Muenzel, V., Hollenkamp, A., Bhatt, A., de Hoog, J., Brazil, M., Thomas, D. and
Mareels, I. (2015). A Comparative Testing Study of Commercial 18650-Format Lithium-
Ion Battery Cells. Journal of the Electrochemical Society, 162(8), pp.A1592-A1600.
The project investigated BESS used in domestic power
applications. Lithium chemistry batteries were the primary
technology considered because of their growing
application to households (Muenzel et. al., 2015).
Objectives:
• Identify clear models of BESS operation and ageing
• Identify an effective BESS test methodology
• Design, implement and test a control strategy
• Test an appropriate BESS using the control system
70.00
71.00
72.00
73.00
74.00
75.00
76.00
77.00
78.00
79.00
80.00
0 2 4 6 8 10 12 14 16
CycleEfficiency(%)
Cycle Number (No units)
Block Diagram with Component Details for the Prototype:
Test System Component Board:
Cycle Efficiency Reduction Trend
Charge Capacity Reduction Trend
BESS Test DataCell 2 Testing - Cell voltage threshold: 2.6-4.1V
Cycle no. Cycle
Time (s)
Charge
Energy
(Whs)
Discharge
Energy
(Whs)
Efficiency
(%)
Elapsed test
time (s)
Capacity
Degradation -
cycle to cycle (%)
Efficiency
Degradation -
cycle to cycle (%)
Capacity
Degradation -
Total change from
1st full cycle (%)
Efficiency
Degradation -
Total change
from 1st full cycle
(%)
1 15344 5.190 -7.175 138.24 15344 - - - -
2 17737 9.167 -7.144 77.93 33081 - - - -
3 17360 9.173 -7.094 77.34 50441 -0.07 0.59 -0.07 0.59
4 16191 9.143 -7.031 76.90 66632 0.33 0.44 0.26 1.03
5 16321 9.200 -7.057 76.71 82953 -0.62 0.19 -0.36 1.22
6 16028 9.053 -6.996 77.28 98981 1.60 -0.57 1.24 0.65
7 15791 8.865 -6.967 78.59 114772 2.08 -1.31 3.29 -0.66
8 16072 9.056 -7.015 77.46 130844 -2.15 1.13 1.21 0.47
9 16263 9.193 -7.051 76.69 147107 -1.51 0.77 -0.28 1.24
10 16295 9.210 -7.017 76.20 163402 -0.18 0.49 -0.47 1.73
11 15627 8.851 -6.856 77.46 179029 3.90 -1.26 3.45 0.47
12 16027 9.054 -6.977 77.06 195056 -2.29 0.40 1.23 0.87
13 16010 9.057 -6.987 77.14 211066 -0.03 -0.08 1.20 0.79
14 16245 9.142 -7.054 77.16 227311 -0.94 -0.02 0.27 0.77
15 15820 8.955 -6.896 77.01 243131 2.05 0.15 2.31 0.92
Average per cycle: 16271 9.08 -6.95 77.21 - 0.16 0.07 - -
8.000
8.200
8.400
8.600
8.800
9.000
9.200
9.400
9.600
9.800
10.000
0 2 4 6 8 10 12 14 16
ChargeEnergy(Whs)
Cycle Number (No units)
Results Summary:
• Average rate of capacity degradation was 0.16% per cycle
• Total capacity degradation: 2.31%
• Average rate of efficiency degradation was 0.07% per cycle
• Total efficiency degradation: 0.92%
• The efficiency degradation recorded in the study would contribute
an additional 4.6 MWh and £736 of lost energy over the BESS
lifetime if deployed at MWh scale.

Weitere ähnliche Inhalte

Ähnlich wie BatteryProjectPoster-A4

Velocys ppt140813_ENFL-ACS_2014
Velocys ppt140813_ENFL-ACS_2014Velocys ppt140813_ENFL-ACS_2014
Velocys ppt140813_ENFL-ACS_2014John Glenning
 
Guidelines and best practices for the commissioning and operation of controll...
Guidelines and best practices for the commissioning and operation of controll...Guidelines and best practices for the commissioning and operation of controll...
Guidelines and best practices for the commissioning and operation of controll...Power System Operation
 
Applied Reliability Symposium 2009 M Turner
Applied Reliability Symposium 2009 M TurnerApplied Reliability Symposium 2009 M Turner
Applied Reliability Symposium 2009 M TurnerMark Turner CRP
 
EricKatzen_NEEG_Abstract_072616
EricKatzen_NEEG_Abstract_072616EricKatzen_NEEG_Abstract_072616
EricKatzen_NEEG_Abstract_072616Eric Katzen
 
Selecting representative working cycles from large measurement data sets
Selecting representative working cycles from large measurement data setsSelecting representative working cycles from large measurement data sets
Selecting representative working cycles from large measurement data setsReno Filla
 
Project Dissertation -Standardization of BEV Battery Module for circular econ...
Project Dissertation -Standardization of BEV Battery Module for circular econ...Project Dissertation -Standardization of BEV Battery Module for circular econ...
Project Dissertation -Standardization of BEV Battery Module for circular econ...Othman Laraqui
 
A novel auto-tuning method for fractional order PID controllers
A novel auto-tuning method for fractional order PID controllersA novel auto-tuning method for fractional order PID controllers
A novel auto-tuning method for fractional order PID controllersISA Interchange
 
Swel Presentation
Swel PresentationSwel Presentation
Swel PresentationMaxim Drozd
 
Modelon JSME 2016 - Model Based Design for Fuel Cell Systems
Modelon JSME 2016 - Model Based Design for Fuel Cell SystemsModelon JSME 2016 - Model Based Design for Fuel Cell Systems
Modelon JSME 2016 - Model Based Design for Fuel Cell SystemsModelon
 
A practical approach to pharmaceutical HVAC energy reduction
A practical approach to pharmaceutical HVAC energy reductionA practical approach to pharmaceutical HVAC energy reduction
A practical approach to pharmaceutical HVAC energy reductionEECO2
 
A survey of scan-capture power reduction techniques
A survey of scan-capture power reduction techniquesA survey of scan-capture power reduction techniques
A survey of scan-capture power reduction techniquesIJECEIAES
 

Ähnlich wie BatteryProjectPoster-A4 (20)

Ma,%20 d%2012
Ma,%20 d%2012Ma,%20 d%2012
Ma,%20 d%2012
 
Velocys ppt140813_ENFL-ACS_2014
Velocys ppt140813_ENFL-ACS_2014Velocys ppt140813_ENFL-ACS_2014
Velocys ppt140813_ENFL-ACS_2014
 
Guidelines and best practices for the commissioning and operation of controll...
Guidelines and best practices for the commissioning and operation of controll...Guidelines and best practices for the commissioning and operation of controll...
Guidelines and best practices for the commissioning and operation of controll...
 
Applied Reliability Symposium 2009 M Turner
Applied Reliability Symposium 2009 M TurnerApplied Reliability Symposium 2009 M Turner
Applied Reliability Symposium 2009 M Turner
 
Advanced WEC Controls Webinar June 2016
Advanced WEC Controls Webinar June 2016Advanced WEC Controls Webinar June 2016
Advanced WEC Controls Webinar June 2016
 
EricKatzen_NEEG_Abstract_072616
EricKatzen_NEEG_Abstract_072616EricKatzen_NEEG_Abstract_072616
EricKatzen_NEEG_Abstract_072616
 
40120140506006
4012014050600640120140506006
40120140506006
 
Selecting representative working cycles from large measurement data sets
Selecting representative working cycles from large measurement data setsSelecting representative working cycles from large measurement data sets
Selecting representative working cycles from large measurement data sets
 
Project Dissertation -Standardization of BEV Battery Module for circular econ...
Project Dissertation -Standardization of BEV Battery Module for circular econ...Project Dissertation -Standardization of BEV Battery Module for circular econ...
Project Dissertation -Standardization of BEV Battery Module for circular econ...
 
rear axle
rear axlerear axle
rear axle
 
A novel auto-tuning method for fractional order PID controllers
A novel auto-tuning method for fractional order PID controllersA novel auto-tuning method for fractional order PID controllers
A novel auto-tuning method for fractional order PID controllers
 
Swel Presentation
Swel PresentationSwel Presentation
Swel Presentation
 
Modelon JSME 2016 - Model Based Design for Fuel Cell Systems
Modelon JSME 2016 - Model Based Design for Fuel Cell SystemsModelon JSME 2016 - Model Based Design for Fuel Cell Systems
Modelon JSME 2016 - Model Based Design for Fuel Cell Systems
 
A practical approach to pharmaceutical HVAC energy reduction
A practical approach to pharmaceutical HVAC energy reductionA practical approach to pharmaceutical HVAC energy reduction
A practical approach to pharmaceutical HVAC energy reduction
 
A survey of scan-capture power reduction techniques
A survey of scan-capture power reduction techniquesA survey of scan-capture power reduction techniques
A survey of scan-capture power reduction techniques
 
IEEE Final only
IEEE Final onlyIEEE Final only
IEEE Final only
 
Ig3415411546
Ig3415411546Ig3415411546
Ig3415411546
 
Fv3610681072
Fv3610681072Fv3610681072
Fv3610681072
 
What if battery would have mind?
What if battery would have mind?What if battery would have mind?
What if battery would have mind?
 
The Ons & Offs of ERV Effectiveness
The Ons & Offs of ERV EffectivenessThe Ons & Offs of ERV Effectiveness
The Ons & Offs of ERV Effectiveness
 

BatteryProjectPoster-A4

  • 1. Development of a control strategy to test the capacity and efficiency ageing of a domestic scale battery energy storage system (BESS) Richard Parris (parris.richard@outlook.com) Supervisor: Dr Yehdego Habtay Introduction/Motivation Design Implementation and Results Conclusions/Scope for Further Work Key BESS Testing Principles: 1. Cell voltage determined the cycling capacity (maximum charge and discharge levels). 2. Charging method: Constant Current (CC) followed by Constant Voltage (CV), within manufacturer limitations. Discharge method: Constant load (aluminium resistor) 3. Charge energy and elapsed cycle time were checked to ensure the full BESS capacity was used for each cycle. • Efficiency degradation is an issue for Lithium ion BESS • The project successfully quantified efficiency degradation at 0.07% per cycle over a small number of cycles. • A robust test strategy and prototype were developed that can be applied to other Lithium ion BESS for comparison. • Further work: more cycles of the same type of BESS; testing of other BESS units; testing under different environmental and electrical conditions; variation of the length of both active cycling and resting time. References Muenzel, V., Hollenkamp, A., Bhatt, A., de Hoog, J., Brazil, M., Thomas, D. and Mareels, I. (2015). A Comparative Testing Study of Commercial 18650-Format Lithium- Ion Battery Cells. Journal of the Electrochemical Society, 162(8), pp.A1592-A1600. The project investigated BESS used in domestic power applications. Lithium chemistry batteries were the primary technology considered because of their growing application to households (Muenzel et. al., 2015). Objectives: • Identify clear models of BESS operation and ageing • Identify an effective BESS test methodology • Design, implement and test a control strategy • Test an appropriate BESS using the control system 70.00 71.00 72.00 73.00 74.00 75.00 76.00 77.00 78.00 79.00 80.00 0 2 4 6 8 10 12 14 16 CycleEfficiency(%) Cycle Number (No units) Block Diagram with Component Details for the Prototype: Test System Component Board: Cycle Efficiency Reduction Trend Charge Capacity Reduction Trend BESS Test DataCell 2 Testing - Cell voltage threshold: 2.6-4.1V Cycle no. Cycle Time (s) Charge Energy (Whs) Discharge Energy (Whs) Efficiency (%) Elapsed test time (s) Capacity Degradation - cycle to cycle (%) Efficiency Degradation - cycle to cycle (%) Capacity Degradation - Total change from 1st full cycle (%) Efficiency Degradation - Total change from 1st full cycle (%) 1 15344 5.190 -7.175 138.24 15344 - - - - 2 17737 9.167 -7.144 77.93 33081 - - - - 3 17360 9.173 -7.094 77.34 50441 -0.07 0.59 -0.07 0.59 4 16191 9.143 -7.031 76.90 66632 0.33 0.44 0.26 1.03 5 16321 9.200 -7.057 76.71 82953 -0.62 0.19 -0.36 1.22 6 16028 9.053 -6.996 77.28 98981 1.60 -0.57 1.24 0.65 7 15791 8.865 -6.967 78.59 114772 2.08 -1.31 3.29 -0.66 8 16072 9.056 -7.015 77.46 130844 -2.15 1.13 1.21 0.47 9 16263 9.193 -7.051 76.69 147107 -1.51 0.77 -0.28 1.24 10 16295 9.210 -7.017 76.20 163402 -0.18 0.49 -0.47 1.73 11 15627 8.851 -6.856 77.46 179029 3.90 -1.26 3.45 0.47 12 16027 9.054 -6.977 77.06 195056 -2.29 0.40 1.23 0.87 13 16010 9.057 -6.987 77.14 211066 -0.03 -0.08 1.20 0.79 14 16245 9.142 -7.054 77.16 227311 -0.94 -0.02 0.27 0.77 15 15820 8.955 -6.896 77.01 243131 2.05 0.15 2.31 0.92 Average per cycle: 16271 9.08 -6.95 77.21 - 0.16 0.07 - - 8.000 8.200 8.400 8.600 8.800 9.000 9.200 9.400 9.600 9.800 10.000 0 2 4 6 8 10 12 14 16 ChargeEnergy(Whs) Cycle Number (No units) Results Summary: • Average rate of capacity degradation was 0.16% per cycle • Total capacity degradation: 2.31% • Average rate of efficiency degradation was 0.07% per cycle • Total efficiency degradation: 0.92% • The efficiency degradation recorded in the study would contribute an additional 4.6 MWh and £736 of lost energy over the BESS lifetime if deployed at MWh scale.