• DocumentCode
    3292215
  • Title

    A mixed mean-value and crank-based model of a dual-stage turbocharged SI engine for Hardware-In-the-Loop simulation

  • Author

    Xiaojian Yang ; Zhu, G.G.

  • Author_Institution
    Michigan State Univ., East Lansing, MI, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    3791
  • Lastpage
    3796
  • Abstract
    Closed loop combustion control of internal combustion engines becomes a necessity to meet today´s fuel economy and emission requirements. Hardware-In-the-Loop (HIL) simulation of engine systems plays an important role in developing and validating real-time engine control systems. Traditionally the engine models used for the HIL simulation are so-called mean value ones that simulate average engine operational behaviors, while the development and validation of closed loop combustion control require crank-based (or event based) feedback signals, such as in-cylinder pressure signals, in an HIL simulator. In this paper, a mixed mean valve and crank-based engine model was developed for a dual-stage turbocharged engine. This engine model contains both cycle-to-cycle combustion information and averaged engine dynamics such as air flow, speed, torque, etc. GT-Power engine model was developed to obtain calibrations for the Simulink real-time engine model built for the real-time HIL simulator.
  • Keywords
    closed loop systems; combustion; crankcases; fuel economy; fuel systems; internal combustion engines; GT-power engine model; averaged engine dynamic; closed loop combustion control; crank-based feedback signal; cycle-to-cycle combustion information; dual-stage turbocharged SI engine; fuel economy; hardware-in-the-loop simulation; internal combustion engine; mixed mean-value model; Calibration; Control system synthesis; Discrete event simulation; Feedback loop; Fuel economy; Internal combustion engines; Pressure control; Real time systems; Torque; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531459
  • Filename
    5531459