Internal short circuit detection for battery pack using equivalent parameter and consistency method
Internal short circuit detection for battery pack using equivalent parameter and consistency method
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DOI：
10.1016/j.jpowsour.2015.06.087
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发表时间：
2015-10-30
影响因子：
9.2
通讯作者：
Zheng, Yuejiu
中科院分区：
文献类型：
--
作者：
Ouyang, Minggao;Zhang, Mingxuan;Zheng, Yuejiu
电池内部短路(ISCR)检测对于防止热失控和提高电动汽车的安全性至关重要。利用等效电路模型(ECM)分析了大型锂离子电池ISCR的电特性。提出了一种基于电池组内电池一致性的ISCR检测方法。ISCR检测方法采用基于均值差模型(MDM)的递归最小二乘(RLS)算法，MDM是由电池电压和电阻的平均值和差值组成的ECM得到的。该算法首先估计MDM的基本参数。然后根据MDM的基本参数计算出电压的微分和内阻的波动函数等特征参数。一旦发生ISCR，这些特征参数就会发生明显的变化，从而帮助电池管理系统实现ISCR检测。通过一系列实验验证了ISCR检测方法的有效性。(C)2015爱思唯尔B.V.保留所有权利。
Internal short circuit (ISCr) detection of a battery is critical for preventing thermal runaway and enhancing electrical vehicle safety. In this paper, the electrical characteristics of the ISCr of a large format lithium ion battery are analyzed using the equivalent circuit model (ECM). An ISCr detection method is developed based on battery consistency within the battery pack. The ISCr detection method employs the recursive least square (RLS) algorithm based on the mean-difference model (MDM), which is derived from the ECMs consisting of the mean and difference value of cells' voltage and resistance. The algorithm first estimates the basic parameters of the MDM. Then the algorithm calculates the characteristic parameters, such as the differential of the voltage and the fluctuation function of the internal resistance, derived from the basic parameters of the MDM. These characteristic parameters obviously vary once ISCr occurs, thereby helping the battery management system to realize ISCr detection. The effectiveness of the ISCr detection method is validated through a series of experiments. (C) 2015 Elsevier B.V. All rights reserved.