Locating multiple types of recharging stations for battery-powered electric vehicle transport

This study used the concepts of set- and maximum-coverage to formulate capacitated multiple-recharging-station-location models, using a mixed integer programming method, based on a vehicle-refueling logic. The results of the case study demonstrate that the use of mixed stations can achieve the optimal deployment for the planning area, with results that are better than those achieved with a single type of recharging stations. While in some paths the use of slow-recharging stations means that tours are not feasible, the deployment of mixed stations can provide an economical approach which ensures the completion of overall tours on each path.

• Record URL:
  • https://doi.org/10.1016/j.tre.2013.07.003
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1366554513001403
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Wang, Ying-Wei
  • Lin, Chuah-Chih
• Publication Date: 2013-11

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 76-87
• Serial:
  • Transportation Research Part E: Logistics and Transportation Review
  • Volume: 58
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1366-5545
  • Serial URL: http://www.sciencedirect.com/science/journal/13665545

Subject/Index Terms

• TRT Terms: Case studies; Electric vehicle charging; Electric vehicles; Location; Mixed integer programming
• Subject Areas: Highways; Terminals and Facilities; Vehicles and Equipment; I90: Vehicles;

Filing Info

• Accession Number: 01494721
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 30 2013 10:37AM