IDEAS home Printed from https://ideas.repec.org/a/ids/ijetpo/v10y2014i3-4p280-296.html
   My bibliography  Save this article

Optimisation of PHEV/EV charging infrastructures: a review

Author

Listed:
  • Imran Rahman
  • Pandian M. Vasant
  • Balbir Singh Mahinder Singh
  • M. Abdullah-Al-Wadud

Abstract

Plug-in hybrid electric vehicle (PHEV) or electric vehicle (EV) has the potential to facilitate the energy and environmental aspects of personal transportation, but face a hurdle of access to charging system. The charging infrastructure has its own complexities when it is compared with petrol stations because of the involvement of the different charging alternatives. As a result, the topic related to optimisation of PHEV/EV charging infrastructure has attracted the attention of researchers from different communities in the past few years. Recently introduced smart grid technology has brought new challenges and opportunities for the development of electric vehicle infrastructure facilities. This paper is a review of different computational approaches and techniques used for the optimisation of charging infrastructure for electric vehicles.

Suggested Citation

  • Imran Rahman & Pandian M. Vasant & Balbir Singh Mahinder Singh & M. Abdullah-Al-Wadud, 2014. "Optimisation of PHEV/EV charging infrastructures: a review," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 10(3/4), pages 280-296.
    • Handle: RePEc:ids:ijetpo:v:10:y:2014:i:3/4:p:280-296
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=66878
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khush Bakht & Syed Abdul Rahman Kashif & Muhammad Salman Fakhar & Irfan Ahmad Khan & Ghulam Abbas, 2023. "Accelerated Particle Swarm Optimization Algorithms Coupled with Analysis of Variance for Intelligent Charging of Plug-in Hybrid Electric Vehicles," Energies, MDPI, vol. 16(7), pages 1-23, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijetpo:v:10:y:2014:i:3/4:p:280-296. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=12 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.