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In recent years, the demand for energy saving is increasing due to the exisiting problems, such as global warming effect caused by the emission of carbon dioxide, and the exhausted use of fossil fuels. As a measure against such environmental and energy problems, in the automotive field, each automobile manufacturer sells various eco cars such as Hybrid Vehicle (HV) and Plug-in Hybrid Vehicle (PHEV) with low carbon dioxide emissions and Electric Vehicle (EV) and Fuel Cell Vehicle (FCV) with no carbon dioxide emissions. The number of such cars is increasing year by year all over the world. Above all, automobile manufacturers are focusing on EV development. However, the EV has some problems, such as short driving distances, long charging times, and large power consumption caused by using the heating system. In addition, the EV has a feature that electric power can be recovered on the downhill while driving because of regenerative brake which is not included in the internal combustion vehicle. Consequently, this work proposes the constructrue of road networks, elevation difference and EV driving data using Geographic Information System (GIS), derivering power consumption estimation formulas for each vehicle type individually. As a result, we have built the smart system to support the EV driving by managing EV power.

Driving support system for electric vehicle considering air-conditioner power consumption based on geographic information system