Jochen Bernhard Gerschler

Efficient battery models for the design of EV drive trains

Energy storage devices have become an important part of many mobile applications, such as conventional, electric or hybrid electric vehicles. For an optimal and efficient system design, simulation models have become an inevitable tool. Accuracy over a wide range of operating conditions is very important. However, electrochemical storage devices are strongly nonlinear and often show inhomogeneous current distribution leading to performance and lifetime limitations.

Spatially resolved model for lithium-ion batteries for identifying and analyzing influences of inhomogeneous stress inside the cells

Performance, safety and lifetime of Li-ion batteries are closely connected topics, which are significantly influenced by electrical and thermal inhomogeneities occurring during operation inside the system. For R&D of battery packs it is a key issue to identify these inhomogeneities and to minimize the stress inside the cells by means of adequate cell designs and cooling strategies. For prismatic Li-ion cells a new model approach is developed: a spatially resolved thermo-electrical battery model combined with an event-oriented physico-chemical stress model. Considering several battery pack configurations the model enables simulation of electrical and thermal behavior and analysis of stress phenomena inside the cell throughout a complete life cycle.