• DocumentCode
    1813136
  • Title

    AIMD-like algorithms for charging electric and plug-in hybrid vehicles

  • Author

    Studli, Sonja ; Crisostomi, Emanuele ; Middleton, Richard ; Shorten, Robert

  • Author_Institution
    Hamilton Inst., Nat. Univ. of Ireland, Maynooth, Ireland
  • fYear
    2012
  • fDate
    4-8 March 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Motivated by the expected increase of the penetration level of Electric Vehicles (EVs), and the wider usage of renewable energies, this paper investigates policy to share the available power to charge EVs. This paper follows the preliminary work [1] of the authors, where AIMD (Additive Increase Multiplicative Decrease) [2] based techniques were first proposed to charge EVs in a distributed way. The same mathematical framework is adopted in this paper, but the algorithms are tailored to deal with new scenarios of interest, as illustrated in detail in Section III.
  • Keywords
    battery chargers; hybrid electric vehicles; AIMD-like algorithms; additive increase multiplicative decrease; charging station; penetration level; plug-in hybrid electric vehicles; renewable energy; Additives; Batteries; Educational institutions; Employment; Joining processes; Mathematical model; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2012 IEEE International
  • Conference_Location
    Greenville, SC
  • Print_ISBN
    978-1-4673-1562-3
  • Type

    conf

  • DOI
    10.1109/IEVC.2012.6183189
  • Filename
    6183189