01516082

Component

This study aims to explore how factors related to the charging infrastructure, battery technology and usage characteristics affect the way people currently charge their electric vehicles, as well as to explore whether good use of battery capacity can be encouraged. Using a stochastic frontier model applied to panel data obtained in a survey on electric vehicle usage in Japan, the remaining charge when mid-trip fast charging begins is treated as a dependent variable. This variable is significantly affected by user anxiety about charging opportunities, which differs by user and business type. The estimation results obtained using four models, for commercial and private vehicles, respectively, on working and non-working days, show that there are great opportunities to encourage more efficient charging behavior by alleviating anxiety. It appears that the stochastic frontier modeling method is an effective way to model the minimum charge at which fast-charging should be initiated, since it incorporates user characteristics into the estimation process to some extent.

This paper was sponsored by TRB committee ADB10 Traveler Behavior and Values. Alternate title: Timing of Midtrip Electric Vehicle Charging.

01503729

14-1160

English

21p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Battery chargers; Electric vehicle charging; Electric vehicles; Infrastructure; Stochastic programming; Technological innovations; Vehicle range

Japan

Energy; Planning and Forecasting; Vehicles and Equipment; I72: Traffic and Transport Planning; I96: Vehicle Operating Costs

Transportation Research Board Annual Meeting 2014 Paper #14-1160

TRIS, TRB, ATRI

Jan 27 2014 2:27PM