Use of Intelligent Vehicle Logger Technology to Track Electric Vehicle User Recharging Behaviour

Estimates suggest that there will be between 0.5 and 12.8 million electric vehicles (EVs) on United Kingdom (UK) roads by 2030. Power grids could overload if large numbers of these EVs are not recharged off peak, between midnight and early morning. This study investigates the recharging patterns of 12 Private, 21 Organization Individual and 32 Organization Pool users over two successive six month periods as part of the Switch EV trials. EVs were monitored using a data loggers and GPS devices. Recharging locations were classified as Home, Work, Public and Other. It was found less than 10% of recharging took place off peak. Work was the most popular location to recharge, and demand peaked between 09:00am and 10:00am. Private individuals peak recharging occurred on an evening at Home, while Organization Individuals users recharged mostly early morning at Work. Organization Pool users recharging peaked at Work, late afternoon. Smart Meters can delay recharging until off peak hours at Home and Work locations. It is recommended that pay as you go access to nondomestic infrastructure is used for individual drivers. This will encourage them to recharge at Home or Work, where Smart Meters can then shift their recharging to off peak.

  • Supplemental Notes:
    • Abstract reprinted with permission from Intelligent Transportation Society of America.
  • Corporate Authors:

    ITS America

    1100 17th Street, NW, 12th Floor
    Washington, DC  United States  20036
  • Authors:
    • Robinson, Andrew P
    • ORCID 0000-0002-0509-6043
    • Blythe, Phil T
    • Bell, Margaret C
    • Hübner, Yvonne
    • Hill, Graeme A
  • Conference:
  • Publication Date: 2012


  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; References; Tables;
  • Pagination: 10p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01494754
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 27 2013 2:49PM