Abstract—In the near future, electric vehicles (EVs) will play an important role in the automobile industry, because they can reduce CO2 emissions and the use of fossil fuel. The largest challenge in popularizing EVs is the charging infrastructure. A potential solution is a distributed battery-swapping network, where depleted batteries are replaced at swapping stations. Then, the uncharged batteries are refilled at district-charging centers and sent back to battery-swapping stations. In this study, we study the problem of allocating charging centers in distributed battery-swapping networks and propose solving it using genetic algorithms. Through numerical examples, we illustrate the effectiveness of our proposed algorithm.
Index Terms—Electric vehicle, distributed battery-swapping network, charging center allocation, genetic algorithm.
G. Keardkeawfa is with the Department of Management and Systems Engineering, Graduate School of Engineering, Fukuoka Institute of Technology, Fukuoka, Japan (e-mail: gumpanat.k@gmail.com).
Y. Song is with the Department of System Management, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan (e-mail: song@fit.ac.jp).
M. Li is with the Department of Industrial Economics, Faculty of Economics, Fukuoka University, Fukuoka, Japan (e-mail: lmz@fukuoka-u.ac.jp).
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Cite:A Study on Charging Center Allocation Problem in EV Distributed Battery Swapping Network, "A Study on Charging Center Allocation Problem in EV Distributed Battery Swapping Network," International Journal of Materials, Mechanics and Manufacturing vol. 1, no. 1, pp. 22-26, 2013.
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