01370945

Component

https://doi.org/10.3141/2287-18

http://scholar.google.com...Wets&publication_year=2012

Electric power demand for household-generated traffic was estimated as a function of time and space for the region of Flanders, Belgium. An activity-based model was used to predict traffic demand. Electric vehicle (EV) type and charger characteristics were determined on the basis of car ownership and on the assumption that the market shares of EV categories would be similar to the current ones for internal combustion engine vehicles published in government statistics. Charging opportunities at home and work locations were derived from the predicted schedules and the estimation of the possibility to charge at work. Simulations were run for several levels of EV market penetration and for specific ratios of battery-only electric vehicles (BEVs) to pluggable hybrid electric vehicles. A single car was used to drive all trips in a daily schedule. Most of the Flemish schedules could be driven entirely by a BEV even after the published range values were reduced to account for range anxiety and for the overestimated ranges resulting from tests in accordance with standards. The current overnight period for low-tariff electricity was found to be sufficiently long to allow for individual cost optimizing while minimizing the peaks for overall power demand.

01450930

12-2646

English

pp 146–154

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309223270

Print

Figures; References; Tables

Costs; Demand; Electric power; Electric vehicles; Market assessment; Plug-in hybrid vehicles; Spatial analysis

Activity based modeling; Battery charging; Temporal analysis

Flanders (Belgium)

Energy; Highways; Vehicles and Equipment; I96: Vehicle Operating Costs

TRIS, TRB, ATRI

Feb 8 2012 5:11PM

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