• DocumentCode
    25375
  • Title

    Modeling and \\eta - \\alpha -Pareto Optimization of Inductive Power Transfer Coils for Electric Vehicles

  • Author

    Bosshard, Roman ; Kolar, Johann Walter ; Muhlethaler, Jonas ; Stevanovic, Ivica ; Wunsch, Bernhard ; Canales, Francisco

  • Author_Institution
    Power Electron. Syst. Lab., ETH Zurich, Zurich, Switzerland
  • Volume
    3
  • Issue
    1
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    50
  • Lastpage
    64
  • Abstract
    This paper details the optimization of inductive power transfer (IPT) coil systems with respect to efficiency η and area-related power density α as required in electric vehicle applications. Based on analytical calculations and finite-element models, which are discussed and experimentally verified in detail, generally valid design guidelines for high-power IPT systems are derived, and the η-α-Pareto optimization of a scaled 5kW prototype system is presented. Experiments demonstrate a dc-to-dc conversion efficiency of more than 96.5% at a power density of 1.47kW/dm2 with coils of 210mm diameter/52mm air gap, including the losses in the resonant capacitors and the power converter. Field measurements validate the predicted stray field with a calculation error of less than 10%.
  • Keywords
    DC-DC power convertors; Pareto optimisation; electric vehicles; finite element analysis; inductive power transmission; machine insulation; power capacitors; η-α-Pareto optimization; IPT coil systems; air gap; dc-to-dc conversion efficiency; electric vehicles; finite element models; high-power IPT systems; inductive power transfer coils; inductive power transfer optimization; power 5 kW; power converter; power density; resonant capacitors; size 210 mm; stray field; Coils; Couplings; Magnetic resonance; Power electronics; Receivers; Transmitters; Electric vehicles; Pareto optimization; finite-element modeling; inductive power transfer;
  • fLanguage
    English
  • Journal_Title
    Emerging and Selected Topics in Power Electronics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2168-6777
  • Type

    jour

  • DOI
    10.1109/JESTPE.2014.2311302
  • Filename
    6762832