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)
© 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
© 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
© 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
© 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
© 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
© 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
© 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
© 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
© 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 System Simulation
© 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
© 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
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

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

  • 1.
    Reliable Forecasts ofBattery 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.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.com Example: Battery cooling 10 Forecasts of Battery Aging through System Simulation
  • 11.
    © ITI GmbHsimulationx.com Example: Battery aging in a vehicle-to-grid scenario 11 Forecasts of Battery Aging through System Simulation
  • 12.
    © ITI GmbHsimulationx.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.
    © ITI GmbHsimulationx.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.
    ITI GmbH Schweriner Straße1 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