Abstract：In the power management system for a power supply battery, the fast accurate estimate of the state of charge(SOC)is the key technique.For the inherent dynamic and nonlinear property of a power supply battery, firstly, an improved process model is proposed to compensate for the influence of the varying discharge rate and the different working temperature. And then, the detail procedures and algorithms for battery SOC estimation based on the sigma point Kalman filter are given. Finally, the accuracy, the convergence rate, the time complexity and the robustness of the proposed method are analyzed. Experiments show that, the sigma point Kalman filter based method can be used to estimate the SOC quickly and accurately with an estimate error of 5%. On the other hand, small adjustment of the model parameters does not influence the accuracy of the proposed method, which shows the robustness of the sigma point Kalman filter based method.
高明煜, 何志伟, 徐杰. 基于采样点卡尔曼滤波的动力电池SOC估计[J]. 电工技术学报, 2011, 26(11): 161-167.
Gao Mingyu, He Zhiwei, Xu Jie. Sigma Point Kalman Filter Based SOC Estimation for Power Supply Battery. Transactions of China Electrotechnical Society, 2011, 26(11): 161-167.
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2011, Vol. 26 
