Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66201
Title: Optimal dispatch of electric vehicle batteries between battery swapping stations and charging stations
Authors: Xian, Z
Wang, G
Keywords: Battery charging station
Battery swapping station
Electric vehicle
Optimal dispatch
Issue Date: 2016
Publisher: IEEE Computer Society
Source: IEEE Power and Energy Society General Meeting, 2016, v. 2016-November, 7741893 How to cite?
Abstract: Along with the fast development of battery technologies and growing criticism on heavy air pollution caused by traditional automobiles, electric vehicles (EV) draw more attention in these years. The inconvenience of battery charging is the main barrier to the widespread use of EVs, and the EV battery-swapping technology is a promising method to assist overcoming this difficulty eventually because of its flexibility. In this paper, a battery schedule framework is studied to dispatch batteries between battery charging stations (BCS) and battery swapping stations (BSS) efficiently. A two-direction battery dispatch model to reduce the transportation cost is established and solved by PSO method. Moreover, considering the serving ability limitations, the K-means clustering algorithm is utilized to pre-partition the BCS and BSS to make the battery dispatch more efficient and effective. The proposed methods is finally verified by an urban battery logistics case.
Description: 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, US, 17-21 July 2016
URI: http://hdl.handle.net/10397/66201
ISBN: 9781509041688
ISSN: 1944-9925
DOI: 10.1109/PESGM.2016.7741893
Appears in Collections:Conference Paper

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