Battery SOC Estimation Based on SSA-BP Neural Network
As the battery is the last protective barrier of the DC power supply in the substation,an accurate battery state of charge(SOC)estimation is extremely important.In order to choose an accurate and easy-to-implement SOC estimation meth-od,the BP neural network optimized by the sparrow search algorithm is used as the SOC estimation model.This method has the advantages of high adaptability and nonlinear mapping ability of BP neural network,and at the same time solves the prob-lem that BP neural network is easy to fall into local optimal solution.Through data simulation verification,the SSA-BP neural network can more accurately estimate the battery SOC value,with smaller errors and faster iteration speed.
substation DC power supplybattery state of charge(SOC)BP neural networksparrow search algorithm
万方数据
维普
