Lithium battery health state estimation and residual life prediction method under time-varying temperature
A health state and life prediction technology, applied in computing, electrical digital data processing, computer-aided design, etc., can solve problems such as increasing the complexity and difficulty of health state estimation and remaining life prediction, lithium battery performance degradation, etc., to achieve good engineering Effects of application value, avoiding economic losses, and saving expenses
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[0132] In order to enable those skilled in the art to better understand that the technical solutions of the present invention can be implemented, the present invention will be further described below in conjunction with specific examples, but the given examples are not intended to limit the present invention.
[0133] The method for estimating the state of health of a lithium battery and predicting the remaining life of a lithium battery under a time-varying temperature provided by an embodiment of the present invention specifically includes the following steps:
[0134] S1. Based on the Wiener process, PowerRule stress model and Arrhenius temperature stress model, build a lithium battery performance degradation model under time-varying temperature conditions, and obtain the lithium battery health state equation based on the degradation process and the lithium battery under time-varying temperature conditions Remaining life probability density function;
[0135] The specific p...
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