• DocumentCode
    1557966
  • Title

    Development of modular electrical systems

  • Author

    Zakarian, Armen ; Rushton, Gary J.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Michigan Univ., Dearborn, MI, USA
  • Volume
    6
  • Issue
    4
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    507
  • Lastpage
    520
  • Abstract
    Modular systems provide the ability to achieve product variety through the combination and standardization of components. A methodology that combines system modeling, integration analysis, and optimization techniques for development of modular systems is presented. The approach optimizes integration and interactions of system elements and creates functional and physical modules for the electrical system. The Hatley/Pirbhai methodology (1987) is used for modeling functional requirements of a system. The model defines system interfaces (interactions) to support its functions. Once the interactions among functions are identified, an incidence matrix of the interfaces is developed. A clustering algorithm is developed to identify clusters in the incidence matrix, group the functions, and create modules. A Hatley/Pirbhai architecture model is developed to represent modular system design. A detailed discussion on the importance of system modeling in design of modular systems and on the constraints that limit development of modular vehicle systems is also presented. The approach presented is systematic and can be used to support product development and decision-making in engineering design
  • Keywords
    matrix algebra; optimisation; pattern clustering; product development; Hatley/Pirbhai methodology; clustering algorithm; component combination; component standardization; decision-making; engineering design; functional requirements modeling; incidence matrix; integration analysis; modular electrical systems development; optimization; product development; product variety; system interactions; system interfaces; system modeling; Associate members; Automotive engineering; Clustering algorithms; Cost function; Engines; Modeling; Optimization methods; Power systems; Product development; Standardization;
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/3516.974865
  • Filename
    974865