Model Design on Emergency Power Supply of Electric Vehicle
Joint Authors
Gao, Hui
Chen, Lili
Zhao, Yuanliang
Zhao, Mingyu
Xu, Shiming
Song, Le
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-09
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
According to the mobile storage characteristic of electric vehicles, an emergency power supply model about the electric vehicles is presented through analyzing its storage characteristic.
The model can ensure important consumer loss minimization during power failure or emergency and can make electric vehicles cost minimization about running, scheduling, and vindicating.
In view of the random dispersion feature in one area, an emergency power supply scheme using the electric vehicles is designed based on the K-means algorithm.
The purpose is to improve the electric vehicles initiative gathering ability and reduce the electric vehicles gathering time.
The study can reduce the number of other emergency power supply equipment and improve the urban electricity reliability.
American Psychological Association (APA)
Zhao, Yuanliang& Chen, Lili& Zhao, Mingyu& Xu, Shiming& Gao, Hui& Song, Le. 2017. Model Design on Emergency Power Supply of Electric Vehicle. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1192779
Modern Language Association (MLA)
Zhao, Yuanliang…[et al.]. Model Design on Emergency Power Supply of Electric Vehicle. Mathematical Problems in Engineering No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1192779
American Medical Association (AMA)
Zhao, Yuanliang& Chen, Lili& Zhao, Mingyu& Xu, Shiming& Gao, Hui& Song, Le. Model Design on Emergency Power Supply of Electric Vehicle. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1192779
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192779