Online Monitoring Method for the Overall Safety Status of Battery Packs Based on Electrochemical Impedance

IF 4 Q1 Engineering
Chinese Journal of Electrical Engineering Pub Date : 2026-03-01 Epub Date: 2026-04-07 DOI:10.23919/CJEE.2026.000026
Min Liu;Yubo Wang;Fan Yang;Xiangjin Wang;Lingxiao Ye;Nawei Lyu;Yang Jin
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引用次数: 0

Abstract

A safety-monitoring method based on the overall impedance of a battery pack is investigated to address the inefficiency and invasiveness of traditional disassembly based cell impedance measurements. By measuring the impedance values of individual cells via the AC injection method and conducting a superposition analysis, the relationship between the overall pack impedance and electrochemical states of the individual cells is established. An online measurement method for the overall impedance is developed, incorporating a weighted scoring system for the characteristic frequency points and local overcharge warning method based on the optimal single frequency point. Experimental results using a $280\ \mathrm{A}\cdot \mathrm{h}$ 1P16S lithium iron phosphate battery showed that the overall impedance effectively reflects individual cell characteristics under normal operating conditions and accurately inherits high-frequency impedance features during overcharge. The weighted scoring system identified 700 Hz as the optimal characteristic frequency, enabling a warning approximately 3 min earlier than those of traditional voltage-based methods. This noninvasive online impedance detection approach provides a new solution for early intervention to prevent the overcharging of battery energy storage systems.
基于电化学阻抗的电池组整体安全状态在线监测方法
针对传统的基于拆解的电池阻抗测量方法效率低、侵入性强的问题,研究了一种基于电池组整体阻抗的安全监测方法。通过交流注入法测量单个电池的阻抗值并进行叠加分析,建立了电池组整体阻抗与单个电池电化学状态之间的关系。提出了一种结合特征频率点加权评分系统和基于最优单频率点的局部过充预警方法的整体阻抗在线测量方法。用$280\ \ mathm {a}\cdot \ mathm {h}$ 1P16S磷酸铁锂电池进行的实验结果表明,在正常工作条件下,整体阻抗能有效反映单体电池的特性,并能准确地继承过充电时的高频阻抗特性。加权评分系统将700hz确定为最佳特征频率,比传统的基于电压的方法提前约3分钟发出警报。这种无创在线阻抗检测方法为早期干预防止电池储能系统过充提供了一种新的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chinese Journal of Electrical Engineering
Chinese Journal of Electrical Engineering Energy-Energy Engineering and Power Technology
CiteScore
7.80
自引率
0.00%
发文量
621
审稿时长
12 weeks
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