In master thesis we investigated the performance of lithium-ion batteries with the aim of analysing the predictability and the ability to uniquely parameterise an innovative physico-chemical equivalent circuit, which we implemented in the Python. Based on the simulation results, we performed an analysis of the accuracy of the battery cell voltage response prediction of the implemented numerical model against laboratory measurements of the set charging and discharging protocols. The model was then numerically validated with respect to the uniqueness of the model parameters. The results show that the model has excellent fitting abilities to the simulated and measured voltage values, as well as good extrapolation properties. One of the key advantages of the model analysed here over existing models is that the potential of each electrode is tracked separately.
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