DocumentCode :
36555
Title :
A Vehicle Routing Problem based on intelligent batteries transfer management for the EV network
Author :
Xia Yamei ; Cheng Bo
Author_Institution :
Sch. of Software Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
11
Issue :
5
fYear :
2014
fDate :
May-14
Firstpage :
160
Lastpage :
170
Abstract :
Batteries transfer management is one important aspect in electric vehicle (EV) network´s intelligent operation management system. Batteries transfer is a special and much more complex VRP (Vehicle Routing Problem) which takes the multiple constraints such as dynamic multi-depots, time windows, simultaneous pickups and deliveries, distance minimization, etc. into account. We call it VRPEVB (VRP with EV Batteries). This paper, based on the intelligent management model of EV´s battery power, puts forward a battery transfer algorithm for the EV network which considers the traffic congestion that changes dynamically and uses improved Ant Colony Optimization. By setting a reasonable tabv range, special update rules of the pheromone and path list memory functions, the algorithm can have a better convergence, and its feasibility is proved by the experiment in an EV´s demonstration operation system.
Keywords :
ant colony optimisation; battery management systems; battery powered vehicles; EV batteries; VRPEVB; ant colony optimization; electric vehicle network; intelligent batteries transfer management; intelligent operation management system; path list memory functions; traffic congestion; vehicle routing problem; Batteries; Battery chargers; Charging stations; Intelligent transportation systems; Support vector machines; Transmission line matrix methods; VRP; ant colony algorithm; battery; electric vehicle network; power management;
fLanguage :
English
Journal_Title :
Communications, China
Publisher :
ieee
ISSN :
1673-5447
Type :
jour
DOI :
10.1109/CC.2014.6880471
Filename :
6880471
Link To Document :
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