• DocumentCode
    1682173
  • Title

    Identification of essential coupling path models for conducted EMI prediction in switching power converters

  • Author

    Jin, Meng ; Weiming, Ma ; Lei, Zhang ; Zhihua, Zhao

  • Author_Institution
    Res. Inst. of Power Electron. Technol., Navy Univ. of Eng., Wuhan, China
  • Volume
    3
  • fYear
    2004
  • Firstpage
    1832
  • Abstract
    Essential coupling path models means that from a circuit theoretic viewpoint, the simplest models contain the dominant noise sources and the dominant noise coupling paths, which can provide a full feature of the EMI generations. This work presents a modeling approach to investigate the conducted EMI in switching power converters. Three modes of conducted EMT noise: the mixed-mode (MM), the intrinsic-differential-mode (IDM), and the common-mode (CM) are identified by time domain measurements associated with the switching actions. The derived models assume lumped parameters circuits represent the noise generation and propagation paths that allow easy physical interpretations. The experimental results show good agreement in the comparison of measured and predicted MM, IDM and CM noise emissions with filter included. The proposed method is easy to apply in practice for understanding, diagnosis, and evaluation EMI behaviors.
  • Keywords
    electromagnetic coupling; electromagnetic interference; interference suppression; power filters; semiconductor device noise; switching convertors; CM; EMI noise generation; IDM; MM; common-mode; conducted EMI; coupling impedance; coupling path model; dominant noise source; filter; intrinsic-differential-mode; lumped parameters circuit; mixed-mode; noise propagation path; switching power converter; time domain measurement; Circuit noise; Computational modeling; Coupling circuits; Electromagnetic coupling; Electromagnetic interference; Noise generators; Noise measurement; Predictive models; Switching circuits; Switching converters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2004. 39th IAS Annual Meeting. Conference Record of the 2004 IEEE
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-8486-5
  • Type

    conf

  • DOI
    10.1109/IAS.2004.1348719
  • Filename
    1348719