• DocumentCode
    762733
  • Title

    Monitoring and Fault Diagnosis of Multiconverter Systems in Hybrid Electric Vehicles

  • Author

    Jayabalan, R. ; Fahimi, B.

  • Author_Institution
    Univ. of Texas, Arlington, TX
  • Volume
    55
  • Issue
    5
  • fYear
    2006
  • Firstpage
    1475
  • Lastpage
    1484
  • Abstract
    Advancements in high-power semiconductor technology have opened new avenues for application of power electronics converters in safety critical applications such as in hybrid vehicle automotive power systems. This paper discusses the use of statistical moments to detect and identify faults. Existing system current and voltage sensors are used without the need for any additional sensors. The technique not only detects system malfunction but also provides information on the device under fault and the nature of the fault. An accurate knowledge of the same will allow appropriate action to be taken to avoid propagation of fault that may lead to catastrophic failure
  • Keywords
    condition monitoring; electric sensing devices; fault diagnosis; hybrid electric vehicles; power convertors; power semiconductor devices; statistical analysis; fault detection; fault diagnosis; fault identification; high-power semiconductor technology; hybrid electric vehicles; hybrid vehicle automotive power systems; multiconverter system monitoring; power electronics converters; safety critical applications; statistical moments; system current sensor; voltage sensor; Automotive engineering; Electrical fault detection; Fault diagnosis; Hybrid electric vehicles; Hybrid power systems; Monitoring; Power electronics; Power system faults; Sensor systems; Vehicle safety; Fault diagnosis; hybrid electric automotive power system; multiconverters; statistical moments;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2006.878716
  • Filename
    1703950