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大规模电化学储能系统故障监测与诊断研究综述

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随着电化学储能系统规模增大,电压等级不断提高,提高储能系统故障监测与诊断的灵敏度和精确性,实现故障早期预警和隔离,成为国内外众多学者的研究热点.该文围绕大规模电化学储能系统的状态监测与故障诊断,从典型故障及其状态变量响应特性、在线监测与多维传感、故障诊断与辨识方法等 3 方面对国内外电化学储能系统的故障监测与诊断研究现状进行总结分析.首先,对热失控和绝缘故障等典型故障特征进行梳理.随后,分析气体传感器和光纤光栅传感等多种原位在线监测方法在电化学储能系统中的应用现状和优缺点,探究多维传感应用于大规模电化学储能系统的可行性.总结基于模型方法和数据驱动等非模型方法的多种故障诊断方法及其局限性.最后,对当前研究面临挑战、需要解决的关键问题进行分析.
Review on Fault Monitoring and Diagnosis of Large-scale Electrochemical Energy Storage System
As the scale and voltage level of electrochemical energy storage systems continue to increase,greater emphasis has been placed on enhancing the sensitivity and accuracy of fault monitoring and diagnosis of energy storage systems,as well as early warning and isolation of faults.Focusing on the condition monitoring and fault diagnosis of large-scale electrochemical energy storage systems,this paper summarizes and analyzes the research status of fault monitoring and diagnosis of electrochemical energy storage systems at home and abroad from three aspects:typical faults and their state variable response characteristics,online monitoring and multi-dimensional sensing,and fault diagnosis and identification methods.First,characteristics of typical faults such as thermal runaway and insulation failure are presented.Subsequently,the application status in electrochemical energy storage systems of various in-situ online monitoring methods such as gas sensor and fiber grating sensing,as well as their advantages and disadvantages,are analyzed.The feasibility of multi-dimensional sensing applied to large-scale electrochemical energy storage systems is explored.In addition,a variety of fault diagnosis methods such as model-based methods and non-model-driven methods,and their limitations are summarized.The paper finally analyzes the current research challenges and unsettled key problems.

electrochemical energy storagethermal runawaycondition monitoringmulti-dimensional sensingfault diagnosis

陈萌、赵谡、王亚林、尹毅

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上海交通大学电子信息与电气工程学院电气工程系,上海市 闵行区 200240

电化学储能 热失控 状态监测 多维传感 故障诊断

上海市优秀学术/技术带头人计划

22XD1401500

2024

中国电机工程学报
中国电机工程学会

中国电机工程学报

CSTPCD北大核心
影响因子:2.712
ISSN:0258-8013
年,卷(期):2024.44(20)