徐佳宁,倪裕隆,姜金海,逯仁贵,宋凯

• 1:哈尔滨工业大学电气工程及自动化学院

摘要(Abstract)：

以电动汽车的退役动力电池为研究对象，利用容量增量分析(ICA)技术对过充电导致充电电压曲线形状异常变化所对应的电池性能衰退机理进行解析；并以此为基础，结合电池容量损失机理诊断模型，提出了利用恒流充电过程诊断退役动力电池早期过充电故障的方法。结果表明：早期过充电对电池内部活性锂损失的影响较小，负极贫锂活性材料损失是诊断早期过充电故障的重要理论依据；同时，利用容量损失量小于20%的退役动力电池验证了早期过充电故障诊断方法的有效性。

关键词(KeyWords)： 退役动力电池;梯次利用;过充电;故障诊断

Abstract:

Keywords:

基金项目(Foundation): 中国博士后科学基金面上项目(2021M701017)

作者(Author): 徐佳宁,倪裕隆,姜金海,逯仁贵,宋凯

DOI: 10.19911/j.1003-0417.tyn20220331.03

参考文献(References)：

• [1]尹来宾,许洪华,彭晓晗,等.基于振动信号的锂离子电池故障诊断方法[J].电气技术,2021(10):71-75.
• [2]马宏忠,吴元熙,劳文洁,等.基于MRSVD和时频灰度图的储能电池过充特征识别[J].电源技术,2020,44(9):1351-1355.
• [3]HUET F.A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries[J].Journal of power sources,1998,70(1):59-69.
• [4]ALAVI S M M,SAMADI M F,SAIF M.Integration of practice-oriented knowledge technology:Trends and prospectives[M].Germany:Springer,2013:277-291.2013:277-291.
• [5]TANG X,MAO X,LIN J,et al.Li-ion battery parameterestimation for state of charge[C]//Proceedings of the American Control Conference,June 29-July 01,2011,San Francisco,USA.
• [6]DEY S,BIRON Z A,TATIPAMULA S,et al.On-board thermal fault diagnosis of lithium-ion batteries for hybrid electric vehicle application[J].IFAC-papersonline,2015,48(15):389-394.
• [7]KARTHIKEYAN D K,SIKHA G,WHITE R E.Thermodynamic model development for lithium intercalation electrodes[J].Journal of power sources,2008,185(2):1398-1407.
• [8]LYU C,ZHANG L,LUO W,et al.Evaluation on performance of lithium-ion batteries based on internal physical and chemical parameters[J].Chemical engineering transactions,2013,33:949-954.
• [9]LIU Z,HE H.Model-based sensor fault diagnosis of a lithium-ion battery in electric vehicles[J].Energies,2015,8(7):6509-6527.
• [10]DEY S,MOHON S,PISU P,et al.Sensor fault detection,isolation,and e stimation in lithium-ion batteries[J].IEEEtransactions on control systems technology,2016,24(6):2141-2149.
• [11]全国汽车标准化技术委员会.车用动力电池回收利用余能检测:GB/T 34015-2017[S].
• [12]ZHENG L,ZHU J,LU D D C,et al.Incremental capacity analysis and differential voltage analysis based state of charge and capacity estimation for lithium-ion batteries[J].Energy,2018,150:759-769.
• [13]TANG X,ZOU C,YAO K,et al.A fast estimation algorithm for lithium-ion battery state of health[J].Journal of power sources,2018,396(4):453-458.
• [14]ZHANG S S,XU K,JOW T R.Study of the charging process of a LiCoO_2-based Li-ion battery[J].Journal of power sources,2006,160(2):1349-1354.
• [15]DUBARRY M,TRUCHOT C,LIAW B Y.Synthesize battery degradation modes via a diagnostic and prognostic model[J].Journal of power sources,2012,219:204-216.
• [16]NI Y L,XU J N,ZHU C B,et al.Accurate residual capacity e stimation of retired LiFePO_4 batteries based on mechanism and data-driven model[J].Applied energy,2022,305:117922.