• DocumentCode
    3567557
  • Title

    Enhanced modeling of DC-DC power converters by means of averaging technique

  • Author

    Mocci, Andrea ; Serpi, Alessandro ; Marongiu, Ignazio ; Gatto, Gianluca

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
  • fYear
    2014
  • Firstpage
    5101
  • Lastpage
    5107
  • Abstract
    An average modeling approach for DC-DC power converters is presented in this paper. It allows the achievement of accurate averaged models of DC-DC converters, which account for dynamic and steady state operations, over both Continuous Conduction Mode (CCM) and Discontinuous Conduction Mode (DCM). In particular, appropriate equivalent switching signals are introduced in order to account for each converter operating state. In addition, a suitable inductor model is introduced in order to improve inductor losses estimation. As a result, the proposed averaged modeling enables an enhanced power losses estimation by accounting for switching and current ripple phenomena. The worth and effectiveness of the proposed modeling approach has been validated through a simulation study, which is performed in the Matlab-Simulink environment and refers to the case of a boost DC-DC converter.
  • Keywords
    DC-DC power convertors; DCM; Matlab-Simulink environment; averaging technique; continuous conduction mode; converter operating state; current ripple phenomena; dc-dc power converters; discontinuous conduction mode; dynamic state operations; equivalent switching signals; inductor losses estimation; modeling enhancement; steady state operations; DC-DC power converters; Decision support systems; Averaging technique; Current Ripple; DC-DC power converters; Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2014.7049276
  • Filename
    7049276