电源学报2026，Vol.24Issue(2)：108-115,8.DOI:10.13234/j.issn.2095-2805.2026.2.108
基于预测静置开路电压法的锂电池SOC估算
Estimation of Lithium-ion Battery SOC Based on Predictive Static Open Circuit Voltage Method
摘要
Abstract
The state-of-charge(SOC)estimation of batteries generally uses the principle of ampere-hour integration to construct SOC models,which are further combined with filtering algorithms.To address the problems of a slow convergence speed and complex calculation,a predictive static open circuit voltage(PSOCV)method is proposed based on the open circuit voltage principle and second-order RC circuit models.The feasibility of discrete-time forward and backward difference state-space equations was discussed,and the parameter accuracy was also compared between linear interpolation(LI)fitting and least squares(LS)fitting.Experimental results show that LI fitting is generally better than LS fitting.The average absolute error of SOC estimation obtained using the LI-PSOCV algorithm under HPPC and UDDS operating conditions is below 1％.Compared with the cubature Kalman filter(CKF),the LI-PSOCV algorithm can converge instantly when the initial SOC value deviates and run faster.关键词
锂离子电池/荷电状态/预测静置开路电压法/二阶RC模型/欧拉差分/线性插值Key words
Lithium-ion battery/state-of-charge(SOC)/predictive static open circuit voltage(PSOCV)method/second-order RC model/Euler difference/linear interpolation(LI)分类
信息技术与安全科学引用本文复制引用
凌六一,张虎,张婷,杨翀,祁靓..基于预测静置开路电压法的锂电池SOC估算[J].电源学报,2026,24(2):108-115,8.基金项目
安徽省高校自然科学基金资助项目(KJ2019A0106)This work is supported by the Natural Science Foundation of Anhui Province Universities under the grant KJ2019A0106 （KJ2019A0106）
