DocumentCode
156969
Title
Optimal configuration of EV battery swapping station considering service availability
Author
Lu Xinyi ; Liu Nian ; Huang Yangqi ; Zhang Jianhua ; Zhou Nan
Author_Institution
Dept. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
fYear
2014
fDate
23-25 April 2014
Firstpage
1
Lastpage
5
Abstract
Battery swapping becomes one of the most important ways to supply the energy for electric vehicles (EVs), since it takes a short time to recharge and is convenient in managing. It leads to growing popularity of the EVs to develop the battery swapping station (BSS). This paper investigates the optimization of the number of EV battery (EVB) packs and the chargers of the station. The structure of the station system and the operation strategy of “charging immediately after swapping” is first talked about. Then, the number of EVB packs in different states is analyzed based on the aforementioned strategy. We build a mathematical model which has the objective of uniform annual value of the facilities´ cost, and restrictions of the size of the station and the demand of availability of battery swapping service per day (ABSSD). The mathematical model is solved with DE algorithm. The optimization method is configured and proved to be rational by results of a case analyzed. The research provides support for configuration plan of BSS.
Keywords
battery chargers; battery powered vehicles; evolutionary computation; DE algorithm; EV BSS; battery chargers; battery packs; battery swapping station; differential evolution; electric vehicles; mathematical model; optimal configuration; service availability; Availability; Batteries; Electric vehicles; Integrated circuits; Sociology; Statistics; Battery packs; Battery swapping station; Charger; Optimal Configuration;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/IGBSG.2014.6835217
Filename
6835217
Link To Document