With the increasing electrification of the transport sector, the demand for models of vehicle batteries grows. Battery models can be used for both the development and monitoring (battery management system, digital twin in the backend) of energy storage systems. During the development, battery models are helpful to examine different electrical configurations (serial, parallel). They also enable different cooling concepts and the ageing behavior of the entire battery pack to be tested. Already in the development phase, it is important to have efficient battery models. Particularly for battery monitoring, the computational performance is crucial. In the operation of large battery storage systems, only efficient, so-called control-oriented, models are suitable, because a high computational effort increases the hardware costs, reduces the energy efficiency and makes a real-time application more difficult. The challenge of these control-oriented models is to map the individual electrical-thermal behavior of the cells while keeping the computational effort low.The poster presents a novel framework for the electrical-thermal simulation of large vehicle battery packs. The electrical, thermal and ageing behavior of the individual cells as well as the interactions in the entire system are modeled. To parameterize the model, an automotive cell is examined with various state of charge and temperature-dependent values. With an experimental validation, the accuracy of the model is investigated. Based on the specific parameters, a battery system with 500 battery cells is simulated in order to investigate the computing performance of the overall model.
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