• DocumentCode
    2867799
  • Title

    DM EMI noise analysis for critical conduction mode PFC

  • Author

    Wang, Zijian ; Wang, Shuo ; Kong, Pengju ; Lee, Fred C.

  • Author_Institution
    Center for Power Electron. Syst., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • fYear
    2011
  • fDate
    6-11 March 2011
  • Firstpage
    1475
  • Lastpage
    1481
  • Abstract
    The critical conduction mode (CRM) power factor correction converters are widely used in low power front-end converters for its high efficiency. Compared to the traditional CCM PFC, the large inductor current ripple in the CRM PFC makes the DM EMI noise a major concern and a large EMI filter is needed. Moreover, uncertainty of the worse case for the EMI noise in the CRM PFC may often lead to an overdesign of the EMI filter, which further increases the size of the system. In this paper, the worst case analysis is carried out based on the proposed mathematical prediction model for the DM EMI noise of the CRM PFC. The design criteria of the DM EMI filter are obtained from the worst case analysis without the need of EMI measurement, which helps to link the EMI filter with the initial system design and make the potential optimization possible. Experimental results validate the proposed model and the worst case analysis.
  • Keywords
    electromagnetic interference; power convertors; power factor correction; DM EMI noise analysis; EMI filter; critical conduction mode PFC; inductor current ripple; low power front-end converters; mathematical prediction model; power factor correction converters; worst case analysis; Bars; Delta modulation; Electromagnetic interference; Inductors; Mathematical model; Noise; Noise measurement; EMI noise prediction; critical conduction mode PFC; mathematical model; quasi-peak detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition (APEC), 2011 Twenty-Sixth Annual IEEE
  • Conference_Location
    Fort Worth, TX
  • ISSN
    1048-2334
  • Print_ISBN
    978-1-4244-8084-5
  • Type

    conf

  • DOI
    10.1109/APEC.2011.5744787
  • Filename
    5744787