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In order to obtain the parameters of the lithium-ion power battery of electric vehicle, a method of parameter identification for multi frequency AC signal injection battery is presented. The method is based on the exact model of the battery model and the theory of solving equations. Firstly, the battery model is adopted, which can meet the analysis of the running time, the steady state characteristics and the transient response of the battery. Next, charge-discharge of the battery and parameter identification test circuit are built. Then, the theory of parameter identification method for the battery model with multi frequency signal injection is analyzed. Finally, the least square curve fitting was used to obtain the relationship between the identified data and state of charge (SOC). The fitting results show that the parameter identification method is effective, and the improved model has a great influence on the identification results. The fitting function can be chosen to approximate the parameter identification data, which is easy to achieve by using the accurate battery model, and the parameters of the equivalent model of the battery can be more realistic.

Parameter Identification Method for Lithium-Ion Battery Model with Multi Frequency AC Signal Injection