基于EIS分析的锂电池健康状态在线评估方法研究

    Research on the Online Assessment Method of Lithium Battery Health Status Based on EIS Analysis

    • 摘要: 电化学阻抗谱(Electrochemical Impedance Spectroscopy,EIS)技术已广泛应用于锂离子电池(Lithium-ion Battery,LIB)健康状态(State of Health,SOH)的在线评估。当前,国内外围绕基于 EIS 的锂电池 SOH 评估研究进展显著。在基础研究中,EIS 技术凭借特定原理进行测试,其参数与电池健康状况紧密相连,测试流程规范有序,结果呈现形式丰富多样,且在电池多方面研究中得以广泛应用。在评估方法上,从剖析参数关联到构建模型持续创新,不过数据处理虽有显著成效,却仍面临数据复杂、模型局限以及实时性难题的困扰。综述了近年来国内外基于EIS分析的锂电池健康状态在线评估方法的研究进展,涵盖EIS技术的基本原理、常见的EIS分析方法、数据处理与建模技术,以及其在电池管理系统中的应用,重点探讨了当前研究中存在的挑战与未来发展方向。

       

      Abstract: Electrochemical Impedance Spectroscopy (EIS) technology has been widely used for online evaluation of the State of Health (SOH) of lithium-ion batteries (LIBs). Currently, significant progress has been made in the research on the SOH evaluation of lithium batteries based on EIS both domestically and internationally. In basic research, the EIS technology is tested based on specific principles, and its parameters are closely related to the battery's health status. The testing process is standardized and orderly, the presentation form of the results is rich and diverse, and it is widely used in various aspects of battery research. In terms of evaluation methods, continuous innovation has been made from analyzing the correlation between parameters to constructing models, but although there have been significant achievements in data processing, it is still plagued by the problems of complex data, model limitations, and real-time issues. This article reviews the research progress of online assessment methods for lithium battery health status based on EIS analysis at home and abroad in recent years, covering the basic principles of EIS technology, common EIS analysis methods, data processing and modeling techniques, as well as its application in battery management systems. The focus was on exploring the challenges and future development directions in current research.

       

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