Research on Battery State Identification Algorithm Based on Equivalent Model

Abstract

The estimation of battery state of charge (SOC) is the core problem in the research of battery management system. It is of great significance to improve the accuracy and speed of estimation. Firstly, the research status of battery management system, equivalent circuit model and SOC estimation algorithm is introduced, and then the common equivalent circuit model and SOC estimation algorithm are analyzed and compared. On this basis, the extended Kalman filter (EKF) algorithm based on the first-order RC model is proposed. At the same time, the method of segment fitting is used to optimize the algorithm, which improves the accuracy of SOC estimation. Finally, the corresponding modeling and simulation are completed by MATLAB, and the experimental platform is designed and built to test the SOC estimation algorithm based on EKF. The simulation and experimental results verify the accuracy of the estimation algorithm.