储能科学与技术 ›› 2023, Vol. 12 ›› Issue (3): 899-912.doi: 10.19799/j.cnki.2095-4239.2022.0694

• 储能系统与工程 • 上一篇    下一篇

锂离子电池热失控多维信号演化及耦合机制研究综述

李奎杰1(), 楼平2, 管敏渊2, 莫金龙2,3, 张炜鑫1, 曹元成1(), 程时杰1   

  1. 1.华中科技大学电气与电子工程学院,湖北 武汉 430074
    2.国网浙江省电力有限公司湖州供电公司
    3.国网德清县供电公司,浙江 湖州 313000
  • 收稿日期:2022-11-23 修回日期:2022-12-04 出版日期:2023-03-05 发布日期:2023-04-14
  • 通讯作者: 曹元成 E-mail:KuijieLi@163.com;yccao@hust.edu.cn
  • 作者简介:李奎杰(1996—),男,博士研究生,研究方向为储能电池安全管理,E-mail:KuijieLi@163.com
  • 基金资助:
    国网浙江省电力有限公司科技项目(B311UZ220001)

A review of multi-dimensional signal evolution and coupling mechanism of lithium-ion battery thermal runaway

Kuijie LI1(), Ping LOU2, Minyuan GUAN2, Jinlong MO2,3, Weixin ZHANG1, Yuancheng CAO1(), Shijie CHENG1   

  1. 1.School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
    2.State Grid Huzhou Electric Power Supply Company
    3.State Grid Deqing County Power Supply Company, Huzhou 313000, Zhejiang, China
  • Received:2022-11-23 Revised:2022-12-04 Online:2023-03-05 Published:2023-04-14
  • Contact: Yuancheng CAO E-mail:KuijieLi@163.com;yccao@hust.edu.cn

摘要:

锂离子电池热失控问题是当前电化学储能电站安全的核心问题。准确详尽地掌握电池热失控过程是实现储能电站主动安全预警的前提。然而,锂离子电池是具有复杂非线性特性的电化学系统,其热失控过程将在多维物理场上表现出不同的信号特征,现有仅靠电压和温度等外特性信号的电池管理系统难以全面客观地监测电池的安全健康状态。因此,研究电池热失控过程中多维信号的演变及耦合机制具有重要意义。本文系统综述了锂离子电池热失控过程中的热、电、机械和气体四个维度的特征信号的演变规律,分析不同维度物理场信号之间的耦合特征,并展望基于多维传感信号融合的电池主动安全预警技术在储能电站的应用。

关键词: 锂离子电池, 热失控, 多信号耦合, 安全预警

Abstract:

Thermal runaway of lithium-ion batteries is the core issue of current electrochemical energy storage power stations regarding safety. Accurate and detailed description of the battery thermal runaway is the premise to realize the active safety warning of energy storage power stations. However, lithium-ion battery is an electrochemical system with complex nonlinear characteristics, which exhibits multi-dimensional signal characteristics during their thermal runaway evolution. It is difficult to comprehensively monitor batteries' safety and health status only by a single signal characteristic. Therefore, studying the evolution and coupling mechanism of multi-dimensional signals in the battery thermal runaway is essential. This review systematically investigated the evolution laws of characteristic signals in the four dimensions of thermal, electricity, machinery, and gas during the thermal runaway of lithium-ion batteries and analyzed the coupling characteristics between different signals. Furthermore, an active safety early warning method has prospected for energy storage batteries based on multi-dimensional sensing signals.

Key words: lithium-ion battery, thermal runaway, multi-signal coupling, safety warning

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