Master Thesis: “Design Stage Prediction of Ageing Behavior of Li-Ion Automotive Batteries” (m/w/d)

Virtual Vehicle is a leading international R&D center for the automotive and rail industries. The center focuses on advanced virtualization of vehicle development. This linking of numerical simulations and hardware testing leads to a powerful HW-SW system design. In the field of E-mobility and hybrid technology, exact simulation and prediction of lithium-ion cell behavior is paramount. To determine this behavior, ageing experi- ments have been conducted on many different cell technologies. Within this thesis, a composite battery model of quasi-stationary and dynamic behavior, as well as long term ageing behavior shall be devised utilizing available measurements. Finally, the model shall enable the prediction of ageing behavior during early design phase.