Research on Fitting Strategy in HPPC Test for Li-ion battery

The objective of this work is to establish an accurate battery model (BM) by hybrid pulse power characteristic (HPPC) test according to state of charge (SOC), temperature and current. The BM is developed for Li-ion battery based on the electrical equivalent circuit (EEC). The influence of different order of EEC and the existing issues in the fitting process are analyzed. Based on these, considering the accuracy and simplicity of the model, a second order EEC model with additional resistance is established and a fitting strategy based on genetic algorithm (GA) by enhancing initial and end point are proposed, which can adjust the order of EEC model according to the fitting accuracy. The result shows that the proposed model has higher accuracy than the traditional model, and this strategy can simplify the complexity of the model and increase the fitting accuracy.

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