Journal of System Simulation
Abstract
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.
Recommended Citation
Hu, Kezhen; Wu, Jianping; and Liu, Mingyu
(2019)
"Modelling of EVs Energy Consumption from Perspective of Field Test Data and Driving Style Questionnaires,"
Journal of System Simulation: Vol. 30:
Iss.
11, Article 8.
DOI: 10.16182/j.issn1004731x.joss.201811008
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss11/8
First Page
4106
Revised Date
2018-06-25
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201811008
Last Page
4114
CLC
TP391.9
Recommended Citation
Hu Kezhen, Wu Jianping, Liu Mingyu. Modelling of EVs Energy Consumption from Perspective of Field Test Data and Driving Style Questionnaires[J]. Journal of System Simulation, 2018, 30(11): 4106-4114.
DOI
10.16182/j.issn1004731x.joss.201811008
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