• DocumentCode
    3513102
  • Title

    Power Supply on Chip (PwrSoC) model identification using black-box modeling techniques

  • Author

    Bilberry, Charles C. ; Mazzola, Michael S. ; Gafford, Jim

  • Author_Institution
    Center for Adv. Vehicular Syst., Mississippi State Univ., Starkville, MS, USA
  • fYear
    2012
  • fDate
    5-9 Feb. 2012
  • Firstpage
    1821
  • Lastpage
    1825
  • Abstract
    With recent developments in power conversion technologies and market trends that are driving those technologies toward further miniaturization and greater integration, the need for an empirically based modeling methodology for proprietary power converters such as Power Supply on Chip (PwrSoC) products has risen significantly. This need motivates the investigation of black-box models, which require little or no knowledge of the internal workings of a system, for those areas of industry adopting PwrSoC technology as a point-of-load solution. This paper reports a black-box modeling method and the construction and validation of a large-signal averaged model for a specific commercially available PwrSoC product. The benefits of the approach reported in this paper include the computational advantages of averaged models in simulation and the availability of a simple procedure to create models for concept analysis and design evaluation of PwrSoC products without vendor supplied models or “white-box” information needed to create a circuit description of the part.
  • Keywords
    power convertors; power supply quality; PwrSoC technology; black-box modeling techniques; design evaluation; large-signal averaged model; point-of-load solution; power conversion technologies; power supply model identification; Computational modeling; Data models; Load modeling; Mathematical model; Transient analysis; Transient response; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition (APEC), 2012 Twenty-Seventh Annual IEEE
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-4577-1215-9
  • Electronic_ISBN
    978-1-4577-1214-2
  • Type

    conf

  • DOI
    10.1109/APEC.2012.6166069
  • Filename
    6166069