实测与问卷驾驶行为数据视角的电动汽车能耗建模

Modelling of EVs Energy Consumption from Perspective of Field Test Data and Driving Style Questionnaires

电动汽车因其环保与低碳的特性逐渐获得市场份额,对其能耗的研究也得到了极大的关注。对电动汽车能耗的探索大多集中在展现的驾驶行为上,很少涉及对自我驾驶风格的认知。从实测数据和驾驶风格问卷角度研究城市场景中驾驶行为和驾驶风格对电动汽车的能耗影响。结果表明驾驶员在不同交通条件下展现出的驾驶行为与自我陈述的驾驶风格之间的动态关系,而融合了实测数据和问卷数据也使能耗预测模型更为精确。

With the electric vehicles （EVs） gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers＇ attention. The exploration of energy consumption of EVs has largely focused on people＇s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires （DSQs）, a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers＇ revealed behavior and stated driving style under different traffic conditions. An energy consumption prediction model is proposed with the fusion of collected driving parameters and DSQ data and the result is promising. This study will draw inspiration for future research on people＇s transitioning driving behavior in an electric-mobility era.