An Estimation Strategy of Lithium Battery SOC Based on Gauss-Hermite Filter

Abstract

Battery state of charge (SOC) can directly reflect its sustainable power supply capacity and health. It is important basis to formulate balance and energy management strategy for battery management system (BMS). In this paper, a second-order RC battery model with factors affected battery characteristics was established based on the Gauss-Hermite quadrature filter (GHQF) theory. According to Kirchhoffs law a state space model was established and the parameters in the model were identified. The GHQF algorithm and model were verified, and comparison was made to an extended Kalman filter (EKF) algorithm on the Matlab and Simulink simulation platform.