• DocumentCode
    255484
  • Title

    Half-cycle sampled discrete model of series-parallel resonant converter with optimized modulation

  • Author

    Junbing Tao ; Zhiyu Cao ; Frohleke, Norbert ; Bocker, Joachim

  • Author_Institution
    Univ. of Paderborn, Paderborn, Germany
  • fYear
    2014
  • fDate
    26-28 Aug. 2014
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Because of low switching losses and wide operation range, series-parallel resonant converter with optimized modulation is attractive. There are three major modeling methods for resonant converters, including approximation method, extended describing function method, and sampled-data method. Approximation method and extended describing function method are simple but relatively inaccurate on heavy load conditions. Sampled-data method requires many computation resources which limits the utilization in control algorithm. A low computational cost and relatively accurate model, half-cycle sampled discrete model is proposed in this contribution. The model describes the behavior of converters with slow-varying variable and assumes variables constant in every half cycle. The model is verified by circuit simulation and experiments.
  • Keywords
    approximation theory; circuit simulation; resonant power convertors; sampled data circuits; approximation method; circuit simulation; computation resources; computational cost; control algorithm; function method; half-cycle sampled discrete model; heavy load conditions; optimized modulation; sampled data method; series-parallel resonant converter; slow-varying variable; Capacitors; Computational modeling; Equations; Integrated circuit modeling; Load modeling; Mathematical model; Modulation; Modelling; Resonant converter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and Applications (EPE'14-ECCE Europe), 2014 16th European Conference on
  • Conference_Location
    Lappeenranta
  • Type

    conf

  • DOI
    10.1109/EPE.2014.6910772
  • Filename
    6910772