• DocumentCode
    3574756
  • Title

    Power tracking with maximum efficiency for wireless charging of E-bikes

  • Author

    Pellitteri, F. ; Boscaino, V. ; Miceli, R. ; Madawala, Udaya K.

  • Author_Institution
    Dept. of Energy, Inf. & Mathematic Models, Univ. of Palermo, Palermo, Italy
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Wireless charging techniques, based on Inductive Power Transfer (IPT), are attractive for Electric Vehicles (EV), due to benefits such as convenience and safety. An accurate valuation of the maximum achievable efficiency in an IPT system is extremely unlikely due to the high sensitivity to parasitic elements variations. Therefore, an “on site” procedure of power efficiency characterization is useful to get a precise description of the efficiency curve and obtain the actual maximum efficiency. In this paper, a power tracking algorithm aiming at efficiency maximization is proposed for a Wireless Charging system. The algorithm aims at finding the maximum power transfer efficiency with respect to two control variables.
  • Keywords
    bicycles; electric vehicles; inductive power transmission; e-bikes; electric vehicles; inductive power transfer; maximum power transfer efficiency; power tracking; wireless charging; Algorithm design and analysis; Batteries; Delays; Equations; Inductive charging; Mathematical model; Wireless communication; inductive power transfer; maximum efficiency; power flow control; power tracking; wireless battery charging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2014 IEEE International
  • Type

    conf

  • DOI
    10.1109/IEVC.2014.7056208
  • Filename
    7056208