Parameter identification of lithium-ion battery ECM model based on improved genetic algorithm
The reliable power battery equivalent circuit(Equivalent Circuit Model,ECM)model is an important technical support for EV battery management system,and the accuracy of the ECM largely depends on the accuracy of parameter identification.Taking 3.5 A·h ternary lithium-ion battery as the research object,a dual-polarization ECM model was used to construct a lithium-ion battery model.On this basis,a parameter identification method based on improved genetic algorithm was proposed,and the parameters in the model were effectively identified.The battery simulation model was established based on the identified parameters,and the constructed battery model was verified by variable current and constant current conditions respectively,and the error was less than±0.02 V.The results showed that the improved genetic algorithm parameter identification method had high precision.
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