Lithium ion battery remaining service life prediction method based on algorithm fusion

The invention belongs to the technical field of lithium ion battery remaining service life prediction, and relates to a lithium ion battery remaining service life prediction method based on algorithm fusion. According to the method, a 18650 type lithium ion battery test data set disclosed by NASA is adopted, a Pearson's correlation coefficient method and a grey correlation analysis method are introduced to extract characteristic data having strong correlation with battery capacity indexes according to change conditions of various indexes of the battery during charging and discharging, and a health factor based on fusion of two time sequences is provided. Therefore, the simplest data used for residual service life prediction can be extracted, and the internal law of battery life attenuation can be revealed. The feature data extracted based on the preprocessing method is applied to a CNN-BiGRU-based fusion prediction model, so that the remaining service life of the lithium ion battery is predicted. Compared wit