串并联锂离子电池组单体开路故障诊断

Shiyao Zhou, Zi-qiang Chen, Jianyu Lan, M. Dong
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引用次数: 1

摘要

故障诊断对于降低锂离子电池系统的故障率,提高系统的可靠性具有重要意义。然而,以往对串并联电池组的单体开路故障诊断研究较少。本文提出了一种基于电压相关系数的方法和双扩展卡尔曼滤波(DEKF)来检测COC故障。然后通过多次COC故障仿真实验,比较了两种方法的性能。采用不同工况下的4S-3P电池组实验验证了两种诊断方法。实验结果表明,与基于dekf的方法相比,基于电压相关系数的方法具有误诊率低、诊断延迟短、计算成本低等优点,更适合于COC故障检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cell Open Circuit Fault Diagnostic for Series-Parallel Connected Li-ion Battery Pack
Fault diagnosis has great significances for reducing the failures and improving the reliability of Li-ion battery systems. However, there are few researches on cell open circuit (COC) fault diagnostic for the series-parallel connected battery pack before. In this study, a voltage correlation coefficient-based method and a dual extended Kalman filter (DEKF) are proposed to detect the COC fault. Then, performances of these two methods are compared by taking several COC fault simulation experiment. Experiments with a 4S-3P battery pack under different operating conditions are used to verify two proposed diagnostic approaches. The experimental results demonstrate that the voltage correlation coefficient-based method with the merit of lower misdiagnosis rate, shorter diagnoses delay and low computational cost is more suitable for COC fault detection than DEKF-based method.
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