Abstract
For characterization of the degree of battery aging, first, an experimental analysis of the various laws of battery cycle number, charge transfer internal resistance, constant-current charging time, and constant-voltage charging time under different aging degrees is carried out, and a multiple linear regression model is established by combining the variation laws of relevant parameters. The accuracy of the parameter selection is proved by calculating the correlation coefficients of the four parameters, and further, the least-square method is used to identify the model parameters to obtain the accurate partial regression coefficients of the model. Finally, a multiple linear regression-based state-of-health parameter model was established, and the accuracy of the model was verified by experimental data.
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