Fuente: Wipo "BigData" This invention relates to the technical field of battery life prediction, and particularly to a performance degradation data normalization method based on minimum distance optimization. The method comprises the following steps: Sl: Obtain the time series vectors of the key characteristics of the rechargeable battery. The time series vectors include the original sampling sequence, envelope sampling sequence, discrete sampling sequence, and sampling repair sequence of the key characteristics; SZ: Construct the respective multi-dimensional characteristic vectors for different rechargeable batteries.Each dimension of the multi-dimensional characteristic vector is composed of different types of time series vectors, and the lengths of each sequence vector of the same battery are equal; S3: Cumulative distance; S4: Calculate the outlier 1ength;SS: Analyze and applylt can improve the accuracy of battery life prediction.