• DocumentCode
    132266
  • Title

    Online efficiency optimization technique for digitally controlled resonant DC/DC converters

  • Author

    Scandola, Luca ; Corradini, Luca ; Spiazzi, Giorgio ; Garbossa, Cristian ; Piersimoni, Pierluigi ; Vecchiato, Alberto

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
  • fYear
    2014
  • fDate
    16-20 March 2014
  • Firstpage
    27
  • Lastpage
    34
  • Abstract
    This paper proposes a digital online efficiency optimization technique for DC/DC Dual Half-Bridge Series Resonant Converters. The proposed technique implements an advanced modulation scheme which exploits the degrees of freedom inherently available in the converter modulation space in order to simultaneously regulate the output voltage and maintain the system in its maximum efficiency point. Furthermore, the proposed multivariable control technique robustly brings the converter back to maximum efficiency even in presence of abrupt load changes. The proposed efficiency optimization approach is first discussed theoretically, then via simulation and experimental tests. Experimental results on a 5 V, 1.2 A, 200 kHz series resonant converter prototype are in line with the theoretical predictions and confirm both the feasibility and the effectiveness of the approach. Experimental efficiency measurements indicate an efficiency improvement from η = 30% to more than η = 80% in light load conditions.
  • Keywords
    DC-DC power convertors; multivariable control systems; optimisation; resonant power convertors; DC/DC dual half-bridge series resonant converters; converter modulation space; digital online efficiency optimization technique; digitally controlled resonant DC/DC converters; multivariable control technique; Modulation; Optimization; Power generation; Stability analysis; Steady-state; Vectors; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition (APEC), 2014 Twenty-Ninth Annual IEEE
  • Conference_Location
    Fort Worth, TX
  • Type

    conf

  • DOI
    10.1109/APEC.2014.6803285
  • Filename
    6803285