Method for estimating SOC of lithium battery by data-driven algorithm considering internal resistance

The invention discloses a method for estimating the SOC of a lithium battery by a data driving algorithm considering internal resistance. The method comprises the following steps: firstly, carrying out a charge-discharge test on the lithium ion battery by using test equipment, measuring voltage, current, temperature and internal resistance data of the battery in different working states, and preprocessing the obtained data; then, building a bidirectional GRU network, wherein one part of processed data serves as a training set to train the network, and the other part of the processed data serves as a test set to evaluate network performance; and finally, in order to improve the performance of the constructed network, optimizing the bidirectional GRU network by using an NAG algorithm. The input of the constructed bidirectional GRU-NAG network is the voltage, the current, the temperature and the internal resistance of the battery, and the output of the constructed bidirectional GRU-NAG network is the residual el