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
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.
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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2021, Vol. 36 
