Lithium-ion battery state of charge estimation based on moving horizon

This paper is concentrate on state-of-charge(SOC) estimation of Lithium-ion battery which is used in electric vehicles. Due to constrains of battery(SOC constrain and disturbance constrain), moving horizon estimation(MHE) algorithm based on equivalent circuit model is proposed to estimate battery SOC. Compared with Kalman filter, MHE estimate state with more measured value, so it can filter noises better. Tuning parameters of the battery system are chosen to minimize the effects of measurement noises and SOC estimation error bounds. Compared with extended Kalman filter, the results of SOC estimated by MHE shows a better performance and can reduces SOC estimation error.