• DocumentCode
    2833042
  • Title

    The role and use of robust multivariable control in hybrid electric vehicle energy management - Part II: Application

  • Author

    Fekri, S. ; Assadian, F.

  • Author_Institution
    Dept. of Automotive Eng., Univ. of Cranfield, Cranfield, UK
  • fYear
    2012
  • fDate
    3-5 Oct. 2012
  • Firstpage
    317
  • Lastpage
    322
  • Abstract
    An important role robust multivariable control design could play in Hybrid Electric Vehicle (HEV) was discussed in Part I. In this part, by completing the HEV dynamics, we shall show designing a two-input two-output (TITO) robust controller, using cutting-edge design software of mixed-μ synthesis, for the challenging application of torque management of the hybrid electric vehicle subjected to uncertain parameters and strong coupling interactions between internal combustion engine and integrated electric motor. Our designed control system provides guaranteed stability- and performance robustness for the HEV torque management plant subject to parametric uncertainties (such as combustion lag, rotational moment of inertia and damping), unmodeled complex-valued uncertainty (due to fueling and ignition delays), unmeasurable exogenous plant disturbance (e.g. vehicle load), sensor noises and estimation errors. Simulation results verify that robust multivariable control system designs could significantly help in production of hybrid electric vehicles by significant reduction in cost, risk and time-to-market.
  • Keywords
    electric motors; energy management systems; hybrid electric vehicles; internal combustion engines; torque; HEV; combustion lag; cutting-edge design software; estimation errors; exogenous plant disturbance; fueling delays; hybrid electric vehicle energy management; ignition delays; integrated electric motor; internal combustion engine; mixed-μ synthesis; multivariable control design; robust multivariable control; rotational moment; sensor noises; torque management; two-input two-output robust controller; vehicle load; Hybrid electric vehicles; Ice; Mathematical model; Robustness; Torque; Uncertainty; Vehicle dynamics; μ - synthesis; Robust multivariable control; diesel engine modeling; hybrid electric vehicle; torque management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2012 IEEE International Conference on
  • Conference_Location
    Dubrovnik
  • ISSN
    1085-1992
  • Print_ISBN
    978-1-4673-4503-3
  • Electronic_ISBN
    1085-1992
  • Type

    conf

  • DOI
    10.1109/CCA.2012.6402740
  • Filename
    6402740