Construction of the electric vehicle driving support system considering the personal driving characteristics using geographic information system

Author(s): Shuntaro Nakayamaa, Hiroki Iwaia, Thongchart Kerdpholab, Yasunori Mitania
a Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata-ku, Kitakyushu City, 804-8550, Japan
b Kitakyushu City Office, 1-1 Jonai, Kokurakita-ku, Kitakyushu City, 803-0813, Japan
International Journal of Smart Grid and Clean Energy, vol. 10, no. 4, October 2021: pp. 304-309
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.10.4.304-309

Abstract: Recently, motor companies focus on the Electric Vehicle (EV) sales because EVs do not emit CO2 while driving. However, EVs have some characteristics that conventional vehicle does not have. For example, EVs have a short driving distance comparing with gasoline vehicles, and it takes time to charge the battery on the outside charging spot, and the spread of the charging spot is limited. And since EVs use the motor for driving, EVs can charge the own battery by using regeneration. We have been constructed the EV driving support system by using Geographic Information System (GIS) for supporting users of EV that has such characteristics. And we use road network data and the Digital Elevation Model (DEM) and EV driving data on GIS. In this research, we focus on the influence of personal driving characteristics for the EV power consumption, and we constructed the EV driving support system considering the personal driving characteristics.

Keywords: Geographic information system, electric vehicle, navigation system, digital elevation model
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