Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55391
Title: An optimization model for a battery swapping station in Hong Kong
Authors: Wu, TH
Pang, GKH
Choy, KL 
Lam, HY
Keywords: Battery charging methods
Battery swapping station
Electric vehicle
Genetic algorithm
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: IEEE Transportation Electrification Conference and Expo, ITEC 2015, 14-17 June 2015, 07165769 How to cite?
Abstract: In this paper, a battery swapping station (BSS) model is proposed as an economic and convenient way to provide energy for the batteries of the electric vehicles (EVs). This method would overcome some drawbacks to the use of electric vehicles like long charging time and insufficient running distance. On the economic concern of a battery swapping station, the station would optimize the availability of the batteries in stock, and at the same time determine the best strategy for recharging the batteries on hand. By optimizing the charging method of the batteries, an optimization model of BSS with the maximum number of batteries in stock has been developed for the bus terminal at the Hong Kong International Airport. The secondary objective would be to minimize a cost on the batteries due to the use of different charging schemes. The genetic algorithm (GA) has been used to implement the optimization model, and simulation results are shown.
URI: http://hdl.handle.net/10397/55391
ISBN: 9781467367417
DOI: 10.1109/ITEC.2015.7165769
Appears in Collections:Conference Paper

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