Study About Electric Vehicle Routine Optimizing and Analysis of Charging Stations’ Layout in Beijing

Qibin Chen () and Xiaochun Lu ()
Additional contact information
Qibin Chen: Beijing Jiaotong University
Xiaochun Lu: Beijing Jiaotong University

A chapter in LISS 2013, 2015, pp 609-614 from Springer

Abstract: Abstract This paper analyses the locations of electric vehicle charging stations in Beijing and focuses on the solution to the problem of how to look for charging stations to replace batteries when electric vehicles are in Low Level. Considering the traffic conditions in Beijing and analyzing the process of electric vehicles researching charging stations, this paper establishes a multi-objective programming with two objects: the shortest total distance and the largest dump energy after arriving destination. This mode is resolved with linear weighted sum method. One hundred tests are made and charging times of each charging station and bypass distance of each charging stations are calculated. Through analysis of above statistics, this paper concludes that the layout of charging stations in Beijing is not reasonable, because charging stations are not equally distributed.

Keywords: Electric vehicle routine optimizing; Multi-objective programming; Charging stations layout (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_90

Ordering information: This item can be ordered from
http://www.springer.com/9783642406607

DOI: 10.1007/978-3-642-40660-7_90

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().