• DocumentCode
    574247
  • Title

    On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor

  • Author

    Razavian, R. ; Azad, Nasser L. ; McPhee, John

  • Author_Institution
    Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    547
  • Lastpage
    552
  • Abstract
    To design a supervisory plan for a Hybrid Electric Vehicle (HEV), different methods are presented in the literature. In many of these controllers, there are a few parameters that must be tuned according to future driving conditions. To address this issue, a novel feedback controller is introduced in this paper that serves as the supervisory plan of a series HEV, and does not require the exact knowledge of the drive cycle. To find this controller, first a mathematical model of the hybrid drivetrain is developed, then Pontryagin´s Minimum Principle is applied assuming that the drive cycle is known in advance. Based on the mechanism of the optimal control, a set of mathematical rules is extracted, and an optimal feedback controller is designed. It is also shown that a priori knowledge of the future drive cycle is not required; it is possible to tune the controller parameters, knowing only the cruise time and the available negative energy during braking.
  • Keywords
    hybrid electric vehicles; mathematical analysis; optimal control; Pontryagin Minimum Principle; braking; controllers; drive cycle; hybrid drivetrain; mathematical model; mathematical rules; negative energy; optimal feedback controller; real-time optimal control; series HEV; series hybrid electric vehicle; supervisory plan; ultra-capacitor; Engines; Fuels; Hybrid electric vehicles; Integrated circuit modeling; Mathematical model; Optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6314831
  • Filename
    6314831