The authors present the concept of a holistic method to determine the optimal battery design which takes safety, production, costs and electrothermal gradients’ effects on ageing into account. The focus lies on the ageing and the scalability for variant capacity, format and dimensions. It is to be determined which modeling approach is best suited for the given inputs and the desired outputs. The proposed approaches range from a full physical-electrochemical model (PECM) of the electrothermal and aging behavior to simplifications in one or both areas and the optimization algorithm. The proposed approach realizes the evaluation of the battery design by the crucial parameters of EVs. It merges the new insights of various research fields and makes it accessible to industrial parties such as cell and automotive manufacturers. The simulation of the electrothermal gradients in the performance and ageing model allow for a more accurate analysis of the battery design. The comparison of implementations with varying complexity facilitate an application-oriented suitability assessment of the approach. In this poster the concept of the holistic method is presented. Then the full PEC model with its underlying functions is shown. Preliminary simulation results of the electrothermal and ageing behavior of the battery cell are discussed and compared with state-of-the-art models. The suitability of the method is evaluated by weighing the accuracy of the method against its computing effort.
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The authors present the concept of a holistic method to determine the optimal battery design which takes safety, production, costs and electrothermal gradients’ effects on ageing into account. The focus lies on the ageing and the scalability for variant capacity, format and dimensions. It is to be determined which modeling approach is best suited for the given inputs and the desired outputs. The proposed approaches range from a full physical-electrochemical model (PECM) of the electrothermal and...
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