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Lithium-Ion Battery Cell-Balancing Algorithm for Battery Management System Based on Real-Time Outlier Detection

机译:基于实时离群值检测的电池管理系统锂离子电池平衡算法

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A novel cell-balancing algorithm which was used for cell balancing of battery management system (BMS) was proposed in this paper. Cell balancing algorithm is a key technology for lithium-ion battery pack in the electric vehicle field. The distance-based outlier detection algorithm adopted two characteristic parameters (voltage and state of charge) to calculate each cell’s abnormal value and then identified the unbalanced cells. The abnormal and normal type of battery cells were acquired by online clustering strategy and bleeding circuits (R= 33 ohm) were used to balance the abnormal cells. The simulation results showed that with the proposed balancing algorithm, the usable capacity of the battery pack increased by 0.614 Ah (9.5%) compared to that without balancing.
机译:提出了一种新的电池均衡算法,用于电池管理系统(BMS)的电池均衡。电池平衡算法是电动汽车领域锂离子电池组的关键技术。基于距离的离群值检测算法采用两个特征参数(电压和电荷状态)来计算每个电池单元的异常值,然后识别出不平衡的电池单元。通过在线聚类策略获取异常和正常类型的电池,并使用渗漏电路(R =33Ωohm)来平衡异常电池。仿真结果表明,提出的平衡算法与未平衡相比,电池组的可用容量增加了0.614 increasedAh(9.5%)。

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