Journal of System Simulation ›› 2018, Vol. 30 ›› Issue (11): 4106-4114.doi: 10.16182/j.issn1004731x.joss.201811008

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

Hu Kezhen, Wu Jianping, Liu Mingyu   

  1. Department of Civil Engineering, Tsinghua University, Beijing 100084, China
  • Received:2018-05-17 Revised:2018-06-25 Published:2019-01-04

Abstract: 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.

Key words: electric vehicle, energy consumption, driving behavior, driving style questionnaire

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