• DocumentCode
    1759487
  • Title

    A Systemic Approach Integrating Driving Cycles for the Design of Hybrid Locomotives

  • Author

    Jaafar, Azizah ; Sareni, Bruno ; Roboam, Xavier

  • Author_Institution
    Lab. on Plasma & Conversion of Energy (LAPLACE), Univ. of Toulouse, Toulouse, France
  • Volume
    62
  • Issue
    8
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    3541
  • Lastpage
    3550
  • Abstract
    Driving cycles are essential in hybrid locomotive design by conditioning their size and performance. This paper introduces a new systemic approach to hybrid locomotive design, taking real-world driving cycles into account. The proposed approach first exploits clustering analysis with the aim of identifying classes corresponding to particular sets of driving cycles. Then, a synthesis process of a reduced and representative profile from each class of driving cycles is presented. Both approaches are applied to the integrated optimal design of an autonomous hybrid (Diesel-electric) locomotive devoted to shunting and switching operations in nonelectrified areas.
  • Keywords
    diesel-electric locomotives; electric drives; electric locomotives; hybrid electric vehicles; statistical analysis; autonomous hybrid locomotive; clustering analysis; diesel-electric locomotive; driving cycles; hybrid locomotive design; integrated optimal design; nonelectrified area; shunting operation; switching operation; Batteries; Context; Diesel engines; Energy management; Hybrid electric vehicles; Rail transportation; US Department of Defense; Clustering analysis; driving cycles; evolutionary algorithms; hybrid electrical vehicles (HEVs); hybrid locomotives; integrated design; optimization;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2013.2267099
  • Filename
    6527341