• DocumentCode
    1322922
  • Title

    Analysis and Optimization of Magnetically Coupled Resonators for Wireless Power Transfer

  • Author

    Zhang, Xiu ; Ho, S.L. ; Fu, W.N.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
  • Volume
    48
  • Issue
    11
  • fYear
    2012
  • Firstpage
    4511
  • Lastpage
    4514
  • Abstract
    The technology of wireless power transfer has made a great contribution to the quality of life of many people, especially to those relying on implantable devices in the past decades. In order to improve the performance of wireless power transfer systems, a dual-layer nested optimization method using differential evolution (DE) algorithm is proposed in this paper. In contrast to previous methods to derive the compensated capacitance, this proposed method determines the capacitance values using optimization method. By testing a prototype, it is found that the proposed design can have much higher power transfer efficiency when compared to that of traditional method. The dual-layer nested optimization method, based on the design constrains, is also used to determine the parameters of the coils to obtain the maximum power transfer efficiency of the whole system. The result is validated using finite element method (FEM).
  • Keywords
    finite element analysis; inductive power transmission; resonators; FEM; differential evolution algorithm; dual-layer nested optimization method; finite element method; implantable devices; magnetically coupled resonators; maximum power transfer efficiency; wireless power transfer systems; Capacitance; Coils; Couplings; Magnetic resonance; Optimization methods; Wireless communication; Capacitance; equivalent circuit; nested optimization method; power transfer efficiency; resonant frequency; wireless power transfer;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2012.2194731
  • Filename
    6333031