The Electromobility and Learning Systems (ELS) research group, headed by Prof. Dr.-Ing. Christian Endisch, researches and develops application-driven methods for the development, production and operation of electric vehicles, including the entire drive train, from the individual cell to the electric motor. Powerful tools and methods from mathematics, computer science and engineering are used.
For the cluster, we are involved in the area of accelerated cyclic aging tests. The focus is on the development of innovative test strategies for constrained cells and includes research on homogeneity distributions in the state-of-charge distribution.
The ELS group comprises about 20 scientific staff members – including 13 PhD students.