Sigma-point Kalman filter application on estimating battery SOC

Abstract

For the Extended Kalman Filter (EKF) not easy to adjust, difficult to apply on system of updating step time, and its linearization process may generate error of approximation, in recent year, some new methods about expansion Kalman filter to nonlinear system have been proposed. This paper present a new method that Sigma-point Kalman filter estimate SOC through the use of weighted statistical linear regression (WSLR) method for solving linear equations. So this method compared with the traditional EKF method can expect to receive a smaller linearization error. Design a test and apply this method on estimate battery SOC.