储能科学与技术

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基于电芯阻抗分布特性的锂离子电池组热失控分级预警方法

郭锐1(✉),李明明2(✉),刘玉玺2,3,凡绍桂3,崔晓敏2,辛永会2   

  1. 1. 应急管理部沈阳消防研究所,辽宁 沈阳 110034
    2. 烟台创为新能源科技股份有限公司,山东 烟台 264000
    3. 烟台哈尔滨工程大学研究院,山东 烟台 264000
  • 收稿日期:2025-09-29 修回日期:2025-12-11
  • 通讯作者: 李明明 E-mail:guorui@efire.cn;limingming@chungway.com
  • 作者简介:郭锐(1979—09),男,硕士,职称:助理研究员,研究方向:从事消防电子产品的检验技术和检验设备研究,E-mail:guorui@efire.cn 李明明,正高级工程师,研究方向:新能源电池火灾预警防控技术研究,E-mail:limingming@chungway.com
  • 基金资助:
    山东省重点研发计划(2024CXGC010806)

Thermal Runaway Multi Level Warning Method of Lithium-ion Battery Pack Based on Impedance Distribution Characteristics

GUO Rui1(✉),LI Mingming2(✉),LIU Yuxi2,3,FAN Shaogui3,CUI Xiaomin2,XIN Yonghui2   

  1. 1. Shenyang Fire Science and Technology Research Institute of MEN, Shenyang 110034, Liaoning, China
    2. YantaiChungway New Energy Technology Co.,ltd, Yantai 264000, Shandong, China
    3. Yantai Research Institute of Harbin Engineering University, Yantai 264000, Shandong, China
  • Received:2025-09-29 Revised:2025-12-11

摘要: 实现锂离子电池热失控预警至关重要,基于电池阻抗分析的热失控方法能够实现早期热失控预测,成为锂电池热失控研究热点之一。然而,由于电池阻抗随环境温度等参数变化,且大容量电池阻抗值较小在线测试过程中存在测量误差,仅根据单个电芯阻抗分析容易带来热失控误报警。本文提出一种基于电池阻抗分布特性的锂离子电池组热失控预测方法,通过电池组中电芯阻抗的分布趋势来预测热失控。本文提出代表电池阻抗变化趋势的两个特征量,分别代表平均阻抗变化趋势以及阻抗偏离程度,然后将两个特征量作为模糊控制器的输入,根据模糊控制器的输出进行分级预警。论文给出了电芯阻抗在线测量方法、热失控分级预警方法并开展了试验验证。试验电池组由10个30Ah的磷酸铁锂电池电芯组成,采用可编程加热片对其中1只电芯加热以模拟高温高风险电芯。通过设置阈值实现了高温电芯的三级预警,其中电芯温度小于50℃为无预警;50℃~70℃为预警级别1;70℃~100℃为预警级别2;大于100℃为预警级别3,试验结果证明了所提出热失控预测方法的正确性。


关键词: 锂离子电池, 热失控预警, 阻抗在线测量, 阻抗分析, 模糊控制器

Abstract: Thermal runaway warning for lithium-ion batteries is of vital importance. Thermal runaway detection methods based on battery impedance analysis enable early prediction of thermal runaway, making them a hot research topic in lithium-ion battery thermal runaway studies. Since battery impedance varies with factors such as ambient temperature and there may be a significant measurement error in online measurement of battery impedance especially with high-capacity battery cells, thus, impedance analysis of only a single battery can easily lead to false thermal runaway alarms. This paper proposes a thermal runaway prediction method for lithium-ion battery packs based on the impedance distribution characteristics of cells. This method utilizes the trend of impedance variation across individual cells within the pack to forecast thermal runaway. Two characteristic parameters representing the impedance trend are introduced: the average impedance trend and the degree of impedance deviation. These two parameters are then used as inputs to a fuzzy logic controller to achieve a multi-level early warning for thermal runaway. The online measurement method for battery cell impedance,thermal runaway multi-level warning method and experimental verification are given in this paper. The experimental battery pack consists of ten 30Ah LiFePO4 battery cells, and a programmable heating element is used to heat one of the cells to simulate high-temperature high risk cells. By setting the thresholds, a three-level warning for high-temperature battery cells is achieved, when the cell temperatures are below 50 ℃, there is no warning; when the cell temperatures are in the range of 50 ℃~70 ℃, the warning level is set to level 1; when the cell temperatures are in the range of 70 ℃~100 ℃, the warning level is set to level 2; when the cell temperatures are greater than 100 ℃ , the warning level is set to level 3; and the experimental results demonstrate the correctness of the proposed thermal runaway prediction method.


Key words: lithium-ion battery, thermal runaway warning, online impedance measurement, impedance analysis, fuzzy logic controller

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