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Reliable Forecasts of Battery Aging
in Mobile and Stationary Applications
through System Simulation
Thomas Hofmann, Techni...
© ITI GmbH simulationx.com
Content
• Why are reliable forecasts of battery aging a real asset?
• Why do I need professiona...
© ITI GmbH simulationx.com
Why are reliable forecasts of battery aging a real asset?
3
Basis for investment decisions:
• D...
© ITI GmbH simulationx.com
Why do I need professional methods to predict battery aging?
4
Battery Aging is influenced by
C...
© ITI GmbH simulationx.com5
How to get information about aging behavior?
Measurements on
Object
Measurements on a
Test Rig...
© ITI GmbH simulationx.com
Parameters for simulations
through
measurements on a test rig
Service by
Simulation of battery ...
© ITI GmbH simulationx.com
Parameters through measurements at AIT‘s laboratories
7
Calendric aging
(storage)
Cyclic aging
...
© ITI GmbH simulationx.com
• Get reliable results in a short time! (about 4 month in total)
• Reduce costs!
• Compare a va...
© ITI GmbH simulationx.com
Simulation of battery aging - Examples
SimulationX – Convenient
solution for the simulation of
...
© ITI GmbH simulationx.com
Example: Battery cooling
10 Forecasts of Battery Aging through System Simulation
© ITI GmbH simulationx.com
Example: Battery aging in a vehicle-to-grid scenario
11 Forecasts of Battery Aging through Syst...
© ITI GmbH simulationx.com
Simulation of battery aging – Costs
12
Example:
Costs for aging analyses
of 10 cells over 2 yea...
© ITI GmbH simulationx.com
A one-stop-shop solution
• Proven platform for system simulation
• Dedicated model library for ...
ITI GmbH
Schweriner Straße 1
01067 Dresden
T + 49 (0) 351.260 50 - 0
info@itisim.com
simulationx.com
Supporting your visio...
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Reliable Forecasts of Battery Aging in Mobile and Stationary Applications through System Simulation

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Back up your investment plans and make the right decision when it comes to battery storage: Analyze all factors that influence battery aging and optimize the battery management system as well as cooling devices. System simulation with detailed simulation of the battery’s aging behavior delivers reliable information in no time about the performance that can be expected over the years.

Have a look at the presentation to learn more about
• factors influencing battery aging,
• different methods to obtain data on aging behavior,
• comprehensive information on battery aging through system simulation and
• valid methods to get all necessary parameters.

Do you want to learn more about improving your products and how to reduce risks while saving money with comprehensive simulations of energy storage systems? Then head over to www.simulationx.com/industries/applications/energy-storages.html

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Reliable Forecasts of Battery Aging in Mobile and Stationary Applications through System Simulation

  1. 1. Reliable Forecasts of Battery Aging in Mobile and Stationary Applications through System Simulation Thomas Hofmann, Technical Marketing Engineer ITI GmbH Thomas Bäuml, Scientist Austrian Institute of Technology (AIT)
  2. 2. © ITI GmbH simulationx.com Content • Why are reliable forecasts of battery aging a real asset? • Why do I need professional methods to predict battery aging? • How to get information about aging behavior? • What are the benefits of predicting battery aging through simulation? • Where to find the necessary parameters for battery simulations? • Who can help me? 2 Forecasts of Battery Aging through System Simulation
  3. 3. © ITI GmbH simulationx.com Why are reliable forecasts of battery aging a real asset? 3 Basis for investment decisions: • Does the battery have the desired lifetime? • What is the best solution to reduce costs per kWh? Ensure product performance: • How does the battery behave under different conditions? • How does the performance change over time? Forecasts of Battery Aging through System Simulation
  4. 4. © ITI GmbH simulationx.com Why do I need professional methods to predict battery aging? 4 Battery Aging is influenced by Charging Rate Temperature Depth of Discharge (DoD) Calendric Aging  Different for each application!  Strongly affected by: • Boundary conditions • Battery management • System layout Forecasts of Battery Aging through System Simulation
  5. 5. © ITI GmbH simulationx.com5 How to get information about aging behavior? Measurements on Object Measurements on a Test Rig Simulation Reproducible results! Medium effort: time/costs! Which input data? (standardized test cycles)  Reproducible results! Minimal effort: time/costs! Large number of variants! How to get the parameters? Results reproducible? Great effort: time/costs! Prototype needed! Accessibility?  Forecasts of Battery Aging through System Simulation
  6. 6. © ITI GmbH simulationx.com Parameters for simulations through measurements on a test rig Service by Simulation of battery aging – Where to find the parameters? 6 years just 2 – 4 months! Forecasts of Battery Aging through System Simulation
  7. 7. © ITI GmbH simulationx.com Parameters through measurements at AIT‘s laboratories 7 Calendric aging (storage) Cyclic aging (load cycles) Different temperatures Forecasts of Battery Aging through System Simulation
  8. 8. © ITI GmbH simulationx.com • Get reliable results in a short time! (about 4 month in total) • Reduce costs! • Compare a vast number of variants! • Easy optimization of concepts and parameters, e. g.: • System layout • Battery Management System (BMS) / controls • Heat transfer (cooling/climatization) Simulation of battery aging – Benefits 8 Forecasts of Battery Aging through System Simulation
  9. 9. © ITI GmbH simulationx.com Simulation of battery aging - Examples SimulationX – Convenient solution for the simulation of batteries in: • Vehicles • Buildings • Battery storage power stations • … Forecasts of Battery Aging through System Simulation9
  10. 10. © ITI GmbH simulationx.com Example: Battery cooling 10 Forecasts of Battery Aging through System Simulation
  11. 11. © ITI GmbH simulationx.com Example: Battery aging in a vehicle-to-grid scenario 11 Forecasts of Battery Aging through System Simulation
  12. 12. © ITI GmbH simulationx.com Simulation of battery aging – Costs 12 Example: Costs for aging analyses of 10 cells over 2 years Test rig (with climatization) Simulation (including licence, model, and battery parameters) Forecasts of Battery Aging through System Simulation
  13. 13. © ITI GmbH simulationx.com A one-stop-shop solution • Proven platform for system simulation • Dedicated model library for battery simulation • Specification of battery parameters in the laboratory • Engineering services and training 13 www.simulationx.com www.ait.ac.at Forecasts of Battery Aging through System Simulation
  14. 14. ITI GmbH Schweriner Straße 1 01067 Dresden T + 49 (0) 351.260 50 - 0 info@itisim.com simulationx.com Supporting your vision AIT GmbH Giefinggasse 2 1210 Vienna | Austria T +43(0) 50550 - 6578 ait.ac.at Thomas Hofmann (ITI GmbH) Thomas.Hofmann@itisim.com Thomas Bäuml (AIT GmbH) Thomas.Baeuml@ait.ac.at

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