电工技术学报  2021, Vol. 36 Issue (22): 4666-4676    DOI: 10.19595/j.cnki.1000-6753.tces.210122
电工理论与新技术 |
基于声波时域特征的锂离子电池荷电状态表征
张闯1, 孙博1,2, 金亮1,2, 刘素贞1,2, 杨庆新1,2
1.省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学) 天津 300130;
2.河北省电磁场与电器可靠性重点实验室(河北工业大学) 天津 300130
Characterization of the State of Charge of Lithium-Ion Batteries Based on the Time-Domain Characteristics of Acoustic Waves
Zhang Chuang1, Sun Bo1,2, Jin Liang1,2, Liu Suzhen1,2, Yang Qingxin1,2
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China;
2. Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province Hebei University of Technology Tianjin 300130 China
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摘要 许多先进的检测技术已被证实能获取锂离子电池的荷电状态(SOC),然而目前的检测手段未能同时满足精度和效率方面的要求。利用超声波对SOC的表征已经得到初步的认可,该方法检测效率高、对电池损伤小,但存在单个声学指标与电池材料动力学特性不清晰的问题。该文在分析锂离子电池SOC声学表征研究现状的基础上,将振铃计数引入电池SOC评价中,明确SOC与振铃计数的相关性。基于Lemaitre等效应变原理推导了振铃计数与有效杨氏模量的对应关系,提出基于超声纵波的锂离子电池SOC在线检测方法,结合常规的声学指标研究了锂离子电池在充放电循环中有效杨氏模量演化规律。通过将常规的时域声学指标与振铃计数表征结果进行对比,验证了振铃计数对SOC表征的可行性。
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张闯
孙博
金亮
刘素贞
杨庆新
关键词 声波时域特征荷电状态表征杨氏模量    
Abstract:Many advanced detection technologies have been proven to be able to obtain the state of charge (SOC) of lithium-ion batteries, but the current detection methods fail to meet both the accuracy and efficiency requirements. The use of ultrasound to characterize SOC has been initially recognized. This method has high detection efficiency and small damage to the battery, but there is a problem that the single acoustic index and the dynamic characteristics of the battery material are not clear. Based on the analysis of the current research status of SOC acoustic characterization of lithium-ion batteries, this paper introduces the ringing count into the battery SOC evaluation, and clarifies the correlation between SOC and ringing count. Based on the Lemaitre equivalent strain principle, the corresponding relationship between the ringing count and the effective Young's modulus is deduced. An on-line detection method for lithium-ion battery SOC based on ultrasonic longitudinal waves is proposed. Combined with conventional acoustic indicators, the effectiveness of lithium-ion batteries in charge and discharge cycles is studied. The evolution law of Young's modulus. By comparing the conventional time-domain acoustic indicators with the ringing count characterization results, the feasibility of the ringing count to characterize the SOC is verified.
Key wordsTime domain characteristics of sound waves    state of charge    characterization    Young's modulus   
收稿日期: 2021-01-22     
PACS: TM911  
基金资助:国家自然科学基金项目(51777052, 51977058)、河北省中央引导地方科技发展专项(216Z4406G)和电力系统国家重点实验室课题(SKLD21KZ04)资助
通讯作者: 张 闯 男,1982年生,教授,博士生导师,研究方向为电工装备无损检测与评估。E-mail:czhang@hebut.edu.cn   
作者简介: 孙 博 女,1997年生,硕士研究生,研究方向为锂离子电池无损检测技术。E-mail:201921401040@stu.hebut.edu.cn
引用本文:   
张闯, 孙博, 金亮, 刘素贞, 杨庆新. 基于声波时域特征的锂离子电池荷电状态表征[J]. 电工技术学报, 2021, 36(22): 4666-4676. Zhang Chuang, Sun Bo, Jin Liang, Liu Suzhen, Yang Qingxin. Characterization of the State of Charge of Lithium-Ion Batteries Based on the Time-Domain Characteristics of Acoustic Waves. Transactions of China Electrotechnical Society, 2021, 36(22): 4666-4676.
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