充电行为对锂电池SOH的影响

Zhiyu Xu, Xiao Yan, Bixiong Huang, Ying Wang, Dong Dong, Zhongcai Liu
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引用次数: 2

摘要

锂电池的健康状态(SOH)是动力电池的性能指标之一,影响SOH的因素一直是一个难题。目前主要有两种研究方法,一种是基于实验条件进行SOH估计,另一种是基于车辆数据进行在线SOH估计与评价。本研究基于电动汽车的实际车辆数据,对充电行为和电池SOH进行了参数化描述。用电流、充电深度、充电频率来指示充电行为,用充电容量来表征电池的SOH。为了研究充电行为对电池SOH的影响,确定了影响电池SOH的最大因素。最后,采用K-Means聚类算法对不同的收费行为进行了分析,结果表明,不同类别之间的收费行为差异明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effect of Charge Behavior on Lithium Battery SOH
Lithium battery SOH (State of Health) is one of the performance indicators of power battery, and the factors affecting SOH have been difficult issues. There are two main research methods, one is based on the experimental conditions of SOH estimation, the other is based on vehicle data for online SOH estimation and evaluation. Based on the actual vehicle data of electric vehicles, this study describes charging behavior and battery SOH with parameters. Use current, charge depth, charge frequency to indicate charge behavior, charge capacity to characterize the battery SOH. To study the effect of charge behavior on battery SOH, the biggest influencing factors of battery SOH are determined. Finally, the K-Means clustering algorithm explores different charging behaviors, and the results show that the differences between different categories are obvious.
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