Battery health state analysis method based on data driving

The invention provides a battery health state analysis method based on data driving, and provides a health factor feature extraction method and a corresponding training network aiming at the practical problem that the battery capacity is continuously attenuated and the health state needs to be effectively estimated in the use process of a power lithium ion battery, and training is put on the basis of the health factor feature extraction method and the corresponding training network. And accurate analysis of the health state of the battery is realized. 本发明提出了一种基于数据驱动的电池健康状态分析方法，该方法针对动力锂离子电池使用过程中电池容量不断衰减，其健康状态需要有效估计的实际问题，提出了健康因子特征提取方法和对应的训练网络，并在此基础上投入训练，实现对于电池健康状态的准确分析。