Lithium ion battery performance index estimation method, storage medium and equipment

The invention discloses a lithium ion battery performance index estimation method, a storage medium and equipment, and the method comprises the steps: obtaining the historical working data of a lithium ion battery, and carrying out the preprocessing of the historical working data of the lithium ion battery; training the LSTM network by taking the preprocessed historical working data of the lithium ion battery as characteristic variables; determining an initial threshold value of the LSTM network hyper-parameter by adopting a mayfly naiad optimization algorithm; and inputting the current working data of the lithium ion battery into the trained LSTM network, and estimating the performance index of the lithium ion battery. According to the method, the initial threshold value of the long-short term memory network is optimized by using the mayfly naiad algorithm, so that the algorithm is prevented from falling into local optimum, the optimization searching capability and the convergence capability are improved, an