Nuclear-grade lead-acid storage battery fault prediction method and system and storage medium

The invention discloses a nuclear-grade lead-acid storage battery fault prediction method and system and a storage medium. The method comprises the following steps: S10, acquiring sample aging data in an aging process of a lead-acid storage battery; wherein the sample aging data comprises floating charge voltage data, available capacity data, an internal structure and property change characteristics; s20, establishing a battery equivalent circuit model according to the internal structure and the property change characteristics; s30, performing multi-dimensional feature extraction processing on the floating charge voltage data to obtain multi-dimensional feature data, and establishing a multi-dimensional mapping model according to the multi-dimensional feature data and the available capacity data; the multi-dimensional mapping model is used for being matched with a battery equivalent circuit model to predict the available capacity degradation process of the battery; s40, training the battery equivalent circuit