基于因子回归分析和分层雷达图法的电动汽车运行状态评估

Electric vehicle operational status evaluation based on factor regression analysis and layered radar map method

为优化电动汽车的检修策略,有必要利用监测数据对其运行状态进行综合评估。选取蓄电池、电机传动和充放电过程的26个特征量作为电动汽车运行状态指标,利用因子分析法提取指标的公共因子,利用公共因子间的独立性对电动汽车状态指标进行分类;再结合逐步回归分析对各个分类的指标进行筛选,删除对评估结果影响小的指标,由此建立电动汽车运行状态综合评估指标体系。将针对电动汽车评估的层次递阶结构,采用分层雷达图法对电动汽车运行状态进行综合评估。根据某电动公交车充电站的监测数据进行计算,结果表明所提方法能够反映电动汽车各组成部分及整体运行状态,所提出的评估模型和方法是正确和有效的。

In order to optimize the maintenance strategy of EV（Electric Vehicle）,its monitoring data are used to comprehensively evaluate its operating status. 26 eigenvalues of battery,motor transmission and charge/discharge process are selected as the EV operating status indexes and the factor analysis is applied to extract their common factors. The independency of common factors is used to classify the EV status indexes and the stepwise regression analysis is applied to screen out the indexes with little contribution to the evaluation results. A comprehensive evaluation index system of EV operating status is thus established. According to its hierarchical structure,the layered radar map is applied to comprehensively evaluate the operating status of EV. The monitoring data of an EV charging station are used and the calculative results show that,the operating status of an EV or its component can be properly reflected,proving the proposed method is correct and effective.