• DocumentCode
    11744
  • Title

    Selecting and Utilizing Sequential Residual Generators in FDI Applied to Hybrid Vehicles

  • Author

    Sundstrom, Christofer ; Frisk, Erik ; Nielsen, Larry

  • Author_Institution
    Dept. of Electr. Eng., Linkoping Univ., Linkoping, Sweden
  • Volume
    44
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    172
  • Lastpage
    185
  • Abstract
    In order to obtain a realistic model of a complex system, thousands of possible residual generators need to be used for diagnosis. Based on engineering insights of the system to be monitored, certain algebraic and dynamic properties of the residual generators may be preferred, and therefore, a method for finding sequential residual generators is developed that accounts for these properties of the residual generator candidates. It is shown that only a small fraction of all residual generator candidates fulfill fundamental requirements, and thereby, proves the value of systematic methods. Furthermore, methods are devised for utilization of the residual generators, such as initialization of dynamic residual generators. A proposed method, considering the fault excitation in the residuals using the internal form of the residuals, significantly increases the diagnosis performance. A hybrid electric vehicle is used in a simulation study for demonstration, but the methods used are general in character and provides a basis when designing diagnosis systems for other complex systems.
  • Keywords
    fault diagnosis; hybrid electric vehicles; power transmission (mechanical); FDI; dynamic residual generators; fault diagnosis; fault excitation; hybrid electric vehicle; sequential residual generators; Fault diagnosis; hybrid electric vehicle; model based diagnosis; residual generation;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics: Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2216
  • Type

    jour

  • DOI
    10.1109/TSMC.2013.2248147
  • Filename
    6495482