Optimization-Based Simulation for Evaluating Electric Vehicles with Use of Fast Battery Chargers
Publication: Journal of Energy Engineering
Volume 143, Issue 3
Abstract
To increase the convenience of electric vehicles under current technological situations, fast battery chargers should be densely installed so that the driving distances and durations of electric vehicles are not excessively longer than those of gasoline vehicles. A driving simulator is developed to determine driving routes of electric vehicles and evaluate the corresponding driving distances and numbers of charges in case electric vehicles run by charging their batteries using fast battery chargers. Methods using adjacent and distance matrices based on the graph theory and dynamic programming are proposed to search the optimal driving route with the minimum number of battery charges and the minimum driving distance, respectively, in a rational, systematic, and efficient manner. Through a fundamental analysis using the line distance model, the driving distances and the energy consumption of electric vehicles are clarified in relation to the distance between fast battery chargers. Through a practical analysis using an approximate road distance model with Osaka Prefecture, Japan, selected as the target area, it is clarified how the allocation of existing and additional fast battery chargers affects the driving distances and the energy consumption of electric vehicles and the utilization of the chargers.
Get full access to this article
View all available purchase options and get full access to this article.
References
Advanced Core Technologies. (2010). “ACT distance computation service.” ⟨http://www.act-inc.jp/service/index.html⟩ (Nov. 29, 2010) (in Japanese).
Energy Conservation Center, Japan. (2010). “Outline of energy conservation laws in Japan 2010/2011.” ⟨http://www.eccj.or.jp/law/pamph/outline/index.html⟩ (Nov. 29, 2010) (in Japanese).
Hiwatari, R., Okano, K., Asaoka, Y., and Ikeya, T. (2010). “Development of traffic simulator for analysis on charging infrastructure of next generation vehicle—Basic analysis system toward spread of electric vehicle.”, Central Research Institute of Electric Power Industry, Tokyo (in Japanese).
Kuby, M., and Lim, S. (2005). “The flow-refueling location problem for alternative-fuel vehicles.” Socio-Econ. Plann. Sci., 39(2), 125–145.
Kudoh, Y., Matsuhashi, K., Kobayashi, S., and Moriguchi, Y. (2008). “Estimation of travel distance of passenger vehicles and light passenger vehicles regarding difference of vehicle use by regions.” Proc., 27th Annual Meeting of JSER, Japan Society of Energy and Resources, Osaka, Japan, 355–358 (in Japanese).
Ministry of Land, Infrastructure, Transport and Tourism, Japan. (2010). “List of motor vehicle mileage (March, 2010).” ⟨http://www.mlit.go.jp/jidosha/jidosha_fr10_000004.html⟩ (Nov. 29, 2010) (in Japanese).
Mitsubishi Motors. (2010). “i-MiEV.” ⟨http://global.ev-life.com/⟩ (Nov. 29, 2010).
Shukla, A., Pekny, J., and Venkatasubramanian, V. (2011). “An optimization framework for cost effective design of refueling station infrastructure for alternative fuel vehicles.” Comput. Chem. Eng., 35(8), 1431–1438.
Upchurch, C., Kuby, M., and Lim, S. (2009). “A model for location of capacitated alternative-fuel stations.” Geog. Anal., 41(1), 85–106.
Wang, Y. W. (2007). “An optimal location choice model for recreation-oriented scooter recharge stations.” Transp. Res. Part D, 12(3), 231–237.
Wang, Y. W. (2008). “Simulation of service capacity an electric scooter refueling system.” Transp. Res. Part D, 13(2), 126–132.
Wang, Y. W., and Lin, C. C. (2009). “Locating road-vehicle refueling stations.” Transp. Res. Part E, 45(5), 821–829.
Wang, Y. W., and Wang, C. R. (2010). “Locating passenger vehicle refueling stations.” Transp. Res. Part E, 46(5), 791–801.
Yokoyama, R., and Ishigame, A. (2010). “Demonstration project on introduction of electric vehicles (EVs) and acceleration toward a low-carbon society.” Osaka Science and Technology Center, Osaka, Japan (in Japanese).
Information & Authors
Information
Published In
Journal of Energy Engineering
Volume 143 • Issue 3 • June 2017
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jun 29, 2015
Accepted: Mar 23, 2016
Published online: Jun 10, 2016
Discussion open until: Nov 10, 2016
Published in print: Jun 1, 2017
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.