• DocumentCode
    2471461
  • Title

    ESR estimation method for DC-DC converters based on improved EMD algorithm

  • Author

    Guohui Wang ; Yong Guan ; Jie Zhang ; Lifeng Wu ; Xueyuan Zheng ; Wei Pan

  • Author_Institution
    Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Aluminum electrolytic capacitors are usually used in DC-DC converters as smoothing capacitors. According to the statistics data, they are the weakest among various power components in the DC-DC converter. With the increase of the running time, the performance degradation of electrolytic capacitors reflects in electrical parameters, mainly the Equivalent Series Resistance (ESR) and capacitance. The best indicator of the output filter capacitor failure is the increase of ESR. And the output ripple voltage of the converter increases with respect to ESR. Monitoring the ESR variation of the electrolytic capacitor, achieving by voltage and current ripple, can estimate the health state of the converter.
  • Keywords
    DC-DC power convertors; Hilbert transforms; aluminium; electrolytic capacitors; DC-DC converters; EMD algorithm; ESR estimation; Hilbert-Huang transforms; current ripple; electrolytic capacitors; empirical mode decomposition; equivalent series resistance; output filter capacitor failure; performance degradation; smoothing capacitors; voltage ripple; Capacitors; Estimation; MATLAB; Transforms; EMD; ESR estimation; Hilbert transform; electrolytic capacitor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228949
  • Filename
    6228949