DocumentCode :
154930
Title :
Electric Vehicle green routing with possible en-route recharging
Author :
Baouche, Fouad ; Billot, Romain ; Trigui, R. ; El Faouzi, Nour Eddin
Author_Institution :
Transp. & Traffic Eng. Lab., Univ. of Lyon, Lyon, France
fYear :
2014
fDate :
8-11 Oct. 2014
Firstpage :
2787
Lastpage :
2792
Abstract :
The deployment of Electric Vehicles (EVs) is constrained mainly by the restricted autonomy, the lack of charging stations, the battery recharge time and recuperation capability (e.g. braking phases or downhill). In this study we aim to develop a green routing tool to encourage the use of EV. To overcome the autonomy limitation we propose a methodology for the EV that includes a charging stations location model, an energy graph construction for EV routing and a resolution scheme for the routing problem with recharging stage(s) along the way on the available charging stations.
Keywords :
battery powered vehicles; environmental factors; graph theory; EV routing; battery recharge time; charging stations location model; electric vehicle green routing; en-route recharging; energy graph construction; recuperation capability; Batteries; Charging stations; Computational modeling; Roads; Routing; System-on-chip; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ITSC.2014.6958136
Filename :
6958136
Link To Document :
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