Battery health state prediction method and device, equipment and storage medium

The embodiment of the invention discloses a battery health state prediction method and device, equipment and a storage medium, and the method comprises the steps: obtaining the charge-discharge cycle data of a target battery, and the charge-discharge cycle data comprises at least one of voltage data, current data and temperature data; inputting the charge-discharge cycle data into a pre-trained target health state prediction model to obtain health state prediction data of the target battery, and determining a health state prediction result according to the health state prediction data; wherein the target health state prediction model is obtained by training a model constructed based on a target model hyper-parameter; the target model hyper-parameters are determined in a global optimization mode. According to the technical scheme provided by the embodiment of the invention, the hyper-parameter optimal solution can be quickly searched on the basis of a global optimization mode, and quick search can be performed