数据驱动的车载动力电池使用行为分析

Research on the Use Behaviors of Data-Driven Vehicle Power Battery

为定量评估电动汽车用户的充电习惯和驾驶习惯,为电池故障诊断提供有效支撑,基于电动汽车的实际运行数据,提出了一种在役动力电池使用行为的分析方法。提取基于隶属度函数的动力电池使用行为特征参数,定义并计算出使用行为所累积的风险,即使用行为分数,并采用横、纵向对比的思想定量分析了单车在不同时间维度以及车车之间的电池使用行为差异。试验结果表明,获得的电池使用行为分数与电池组电压一致性存在强正相关性,可以充分评估动力电池使用行为,为电池故障诊断提供数据支撑。

Based on the actual operating data of electric vehicles,this paper proposed an analysis method of inservice power battery usage behaviors,so as to quantitatively evaluate the charging behaviors and driving behaviors of vehicles,and provide effective support for battery fault diagnosis.Firstly,characteristic parameters of power battery use behaviors based on membership function were extracted,and then the accumulative risk score of using behaviors was defined and calculated.Finally,the battery use behavior differences between vehicles and vehicles in different time dimensions were quantitatively analyzed by using the idea of horizontal and vertical comparison.Experimental results show that there is a strong positive correlation between the battery using behavior score quantified in this paper and battery pack consistency,which can fully evaluate the using behavior of power battery,and provide data support for battery fault diagnosis.