Turnkey Battery Solutions from GT and SERMA
Are you able to validate and confidently predict the performance of your battery throughout its lifetime? Look to the experts at SERMA to test, from concept to aging prediction using Gamma Technologies' GT-SUITE.
- Testing throughout the product development process
- Expert services and state-of-the-art simulation tools
- Digital and physical testing
GT & SERMAREAL WORLD AGING PREDICTION
Pair Simulation with Physical Testing for Accurate Aging Prediction

Electrical Test Platform
- 150+ channels for small size cells (< 10 Ah)
- 150+ channels for Lithium Batteries
- Climatic Chambers (-40 - + 80°C)

GT-SUITE System Model
- E-powertrain
- Cabin
- Weather and charging data
- Driver behavior

Prediction of Behavior
- Investigate the impact of the battery degradation on the vehicle range and performance
- Temperature and driver dependencies
- Years of virtual operation
EXAMPLES OF MODELS VALIDATED WITH SERMA
Aging Analysis
37 Ah cell :Aging analysis.
600 cycles at 37A constant current charge, 4,2V constant voltage charge.
The cell wasn’t new, it was stored around 18 months at 20°C before our test, and this was also simulated.
Transient Charge and Discharge at Difference C-Rates
37 Ah cell: Almost empty cell at the beginning, then cycles with the same CCCV procedure as the aging, except for the C-rate : C/5 for the first cycle, then 1C, C/2, 2C, a pause and 1C.
Test ran at 25°C controlled ambient temperature.
Transient Temperature Evolution
The voltage test was repeated for 4 different temperatures : 25°C, 15°C, 35°C and 5°C. Each « plateau » level has the 4 first C-rates as the previous test (C/5,1C, C/2, 2C), the short sections are 25°C-1C-cycles for control.

GT & SERMARESOURCES
Learn more about our solutions by visiting our website, downloading conference presentations or watching webinars.
GT Website
SERMA Energy Website
References
- Calibration Optimization Methodology for Lithium-Ion Battery Pack Model for Electric Vehicles in Mining Applications Chalmers University & GT 2020
- Evaluation of the Thermal Behavior of a 48V EV Battery with Passive Cooling RHEINMETALL 2019
- Using GT-AutoLion to predict Battery Performance during the Development Process SCANIA 2019
- Lithium-ion cell thermal and chemical modeling a methodology to support battery pack cooling design FAURECIA 2019
- Electrochemical modelling high- capacity lithium-ion battery Volvo Group 2021
- Battery Pack thermal modelling FORD 2020
- Identifying the Optimal thermal conditions for Li-Ion Cells under Real World Aging & the need for Adaptive BTM VALEO 2021
- An electrochemical simulation study of discharge characteristics of Li-ion batteries MAHINDRA ELECTRIC 2020
Learn More About SERMA Energy:
Conference & Journal Publications
- Technical content available on GT website Click here to access publications database
Webinars & Living Room Learning
- How to Perform Battery Aging Analysis with GT-AutoLion
- Key Considerations to Understand and Maximize Battery Life
- Unlocking the Next Generation of High Performance Battery Systems