Micro-short-circuit (MSC) is a latent risk in power batteries, which may give rise to thermal runaway and even catastrophic safety hazards. The motivation of this paper is to quantitatively analyze MSC in an initial stage, particularly for lithium-ion batteries. To verify the feasibility of the proposed method, an equivalent MSC experiment is carried out. Based on a cell difference model, the cell state of charge (SOC) differences with the mean SOC for a battery pack are estimated by extended Kalman filter. The evaluated SOC difference can track the actual value well. Furthermore, an MSC diagnostic method is developed by employing recursive least squares filter. The method is demonstrated to examine the short-circuit resistance accurately. The results also show that the proposed method requires low computational load for the SOC difference and short-circuit resistance diagnosis.

中文翻译：

---

使用均值差模型的串联锂离子电池组的微短路诊断

微短路（MSC）是动力电池的潜在风险，可能引发热失控甚至灾难性的安全隐患。本文的动机是在初始阶段对 MSC 进行定量分析，特别是对于锂离子电池。为了验证所提出方法的可行性，进行了等效的MSC实验。基于电池差异模型，通过扩展卡尔曼滤波器估计电池组的电池荷电状态 (SOC) 与平均 SOC 的差异。评估的 SOC 差异可以很好地跟踪实际值。此外，通过采用递归最小二乘滤波器开发了一种MSC诊断方法。证明了该方法可以准确地检测短路电阻。