电源学报

基于预测静置开路电压法的锂电池SOC估算

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凌六一 ¹^,² , 张虎 ¹ , 张婷 ¹ , 杨翀 ¹ , 祁靓 ¹

电源学报 | 新能源发电与储能 2026,24(2): 108-115

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电源学报 |新能源发电与储能 2026 , 24 (2) : 108 -115

基于预测静置开路电压法的锂电池SOC估算

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凌六一¹^,², 张虎¹, 张婷¹, 杨翀¹, 祁靓¹

作者信息

^1.安徽理工大学电气与信息工程学院，淮南　232001

^2.安徽理工大学人工智能学院，淮南　232001

通讯作者:

张虎（1998—　），男，通信作者，硕士研究生。研究方向：电池状态检测。E-mail：2022200992@aust.edu.cn。

作者简介:

凌六一（1980—　），男，博士，教授。研究方向：检测技术与智能信息处理。E-mail：lyling@aust.edu.cn。

张婷（1998—　），女，硕士研究生。研究方向：电池状态检测。E-mail：2022200810@aust.edu.cn。

杨翀（1998—　），男，硕士研究生。研究方向：电池状态检测。E-mail：2021200773@aust.edu.cn。

祁靓（1999—　），女，硕士研究生。研究方向：电池状态检测。E-mail：2021200960@aust.edu.cn。

Estimation of Lithium-ion Battery SOC Based on Predictive Static Open Circuit Voltage Method

Liuyi LING¹^,², Hu ZHANG¹, Ting ZHANG¹, Chong YANG¹, Liang QI¹

Affiliations

^1.School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China

^2.School of Artificial Intelligence, Anhui University of Science and Technology, Huainan 232001, China

出版时间: 2026-02-28 doi: 10.13234/j.issn.2095-2805.2026.2.108

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摘要

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电池的荷电状态SOC（state-of-charge）估计普遍使用安时积分原理构建SOC模型再配合滤波算法来实现，针对其收敛速度慢、计算复杂的问题，基于开路电压原理和二阶RC电路模型提出预测静置开路电压PSOCV（predictive static open circuit voltage）法。讨论了前、后项差分离散状态方程的可行性，同时比较了线性插值LI（linear interpolation）拟合与最小二乘法LS（least squares）拟合的参数精度，实验表明LI拟合整体优于LS拟合。LI-PSOCV算法在HPPC和UDDS工况下SOC估算的平均绝对误差在1%以内。与容积卡尔曼CKF（cubature Kalman filter）比较，LI-PSOCV在SOC初值偏离时可以瞬间收敛且运行速度快于CKF。

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

Abstract

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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.

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)

引用本文

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. 电源学报, 2026 , 24 (2) : 108 -115 . DOI: 10.13234/j.issn.2095-2805.2026.2.108

Liuyi LING, Hu ZHANG, Ting ZHANG, Chong YANG, Liang QI. Estimation of Lithium-ion Battery SOC Based on Predictive Static Open Circuit Voltage Method[J]. Journal of Power Supply, 2026 , 24 (2) : 108 -115 . DOI: 10.13234/j.issn.2095-2805.2026.2.108

基金

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安徽省高校自然科学基金资助项目(KJ2019A0106)

参考文献

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2026年第24卷第2期

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文章信息

doi: 10.13234/j.issn.2095-2805.2026.2.108

接收时间：2023-10-16
首发时间：2026-10-29
出版时间：2026-02-28

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出版历史

收稿日期：2023-10-16
修回日期：2023-11-28
录用日期：2023-12-17

基金

Natural Science Foundation of Anhui Province Universities(KJ2019A0106)

安徽省高校自然科学基金资助项目(KJ2019A0106)

作者信息

^1.安徽理工大学电气与信息工程学院，淮南　232001

^2.安徽理工大学人工智能学院，淮南　232001

通讯作者:

张虎（1998—　），男，通信作者，硕士研究生。研究方向：电池状态检测。E-mail：2022200992@aust.edu.cn。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2026.2.108

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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