Study on prediction algorithm of AUKF for the lithium-ion battery SOC

This paper is aimed at that the problem of SOC prediction algorithm on lithium-ion battery is difficult to get accurate results, and the algorithm is based on improved Kalman filtering prediction algorithm, then the paper proposes prediction algorithm Of AUKF. The algorithm proposes the system noise covariance Q and the measurement noise covariance R identification method. The specific steps of AUKF predict SOC are likewise being proposed. The predicted data of the prediction algorithm are analyzed. The results show that the AUKF algorithm can predict the actual time SOC of Li-ion battery.