Lithium battery SOC correction technology based on equivalent circuit + UKF filtering algorithm

Abstract

In matlablSimulink environment, the first-order Thevenin equivalent circuit model and the traceless Kalman filtering algorithm are established, and theparameters of different SOCs and temperatures on the battery model are identified by establishing hybrid power pulse characteristic experiments, and the distinguished parameters are substituted into the UKF algorithm for simulation experiments. Experimental results show that the estimation of the state of charge has high accuracy.