Abstract: Disclosed are a method and a device for predicting state of health of a battery, an electronic equipment and a readable storage medium. The method includes: obtaining battery data of a vehicle; performing feature extraction on the battery data to obtain a vehicle-using behavior feature corresponding to the vehicle; predicting and obtaining a predicted vehicle-using behavior feature of the vehicle in a next time step according to the vehicle-using behavior feature; and predicting and obtaining a health degree of the battery in the vehicle according to the predicted vehicle-using behavior feature and a battery health state prediction model.

Abstract: Disclosed are a consistency evaluation method for a vehicle battery cell, a device, an equipment, and a storage medium. The method includes: acquiring vehicle operation data, and selecting effective cell data in the vehicle operation data according to a preset effective data standard; processing the effective cell data according to a preset cell consistency index processing method to obtain cell consistency index data; determining a total index deviation value of all battery cells in the current vehicle according to the cell consistency index data; and if the total index deviation value exceeds a preset deviation threshold, determining a consistency risk of the current vehicle.