ELS paper on first page in "Batteries”

The journal "Batteries" recently published a paper by the ELS research group in the special issue "Battery Systems and Energy Storage beyond 2020" entitled: "Advanced Monitoring and Prediction of the Thermal State of Intelligent Battery Cells in Electric Vehicles by Physics-Based and Data-Driven Modeling". At the request of the editors, this will now be placed and highlighted on the front page of the journal website for two months (from 03/09 to 03/11/21). The fact that the paper of the ELS research group was chosen is a great recognition of their work for the authors of the paper. The journal "Batteries" is an international, peer-reviewed, open access journal on battery technology and materials, published quarterly online by MDPI.

The content of the paper deals with a longer-term investigation on thermal modeling of smart batteries in cooperation with AUDI AG. Under vehicle boundary conditions and the consideration of real hardware, an application-oriented model development was conceived in relation to automotive development processes. Kleiner, Stuckenberger, Komsiyska and Endisch compared physics-based thermal modeling with thermal equivalent circuit models and data-driven modeling with a neural network as a black-box model. The findings from the previous research on neural network topologies were implemented in the form of a NARX network for transient temperature prediction of the core temperature of a smart cell. Later in the research project, the research group developed application scenarios for predictive functionalities in thermal management of smart batteries, which are previewed in the paper. Based on the modeling approach, smart thermal management offers opportunities to improve efficiency and safety compared to conventional battery systems.