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锂离子电池热失控早期特征及预警方法综述OA北大核心CSTPCD

Review on early thermal runaway characteristic signal and warning method of lithium ion battery

中文摘要英文摘要

锂电池的使用在工业化进程中的重要性不言而喻.热失控故障预警技术对储能系统的安全至关重要.以储能系统背景下锂离子电池热失控为出发点,介绍了基于电池温度、气体、内阻、电压特征以及基于多维信号的机器学习预警方法,对上述锂离子电池热失控预警方法在储能系统中的应用进行了总结,对应用于储能系统的锂离子电池热失控预警方法的发展前景进行了展望并提出了建议.

The importance of using of lithium battery in the process of industrialization is self-evident.The thermal runaway fault warning technology is crucial for the safety of energy storage systems.The introduction of lithium ion battery thermal runaway in the context of energy storage systems was taken as the starting point,early warning methods based on temperature,gas,internal resis-tance,voltage characteristics and machine learning using multi-dimensional signals were introduced,and the application of the above lithium ion battery thermal runaway warning methods in the energy storage system was summarized.Finally,the development prospects of thermal runaway warning methods for lithium ion batteries used in energy storage systems were prospected and some sugges-tions were put forward.

曹志成;管敏渊;楼平;沈建良;张炜鑫;曹元成

华中科技大学,湖北武汉 430074国网浙江省电力有限公司湖州供电公司,浙江湖州 313000

动力与电气工程

锂离子电池热失控检测方法

lithium ion batterythermal runawaydetection method

《电源技术》 2024 (005)

771-780 / 10

国网浙江省电力有限公司科技项目(B311UZ220001)

10.3969/j.issn.1002-087X.2024.05.002

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