• DocumentCode
    3444720
  • Title

    Modeling cyclic dispersion in autoignition combustion

  • Author

    Hellström, Erik ; Stefanopoulou, Anna G.

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    6834
  • Lastpage
    6839
  • Abstract
    A two-state discrete-time model is developed for the cycle-to-cycle dynamics in lean-fueled controlled autoignition engines. The main goal is to capture the cyclic variability in the combustion phasing which is a key performance variable in combustion control. The model is physics based, the states are the temperature and the fuel mass at intake valve closing, and simple enough so it may provide insights into the dynamics and causes of the behavior. The parameters are crudely calibrated using data that include late phasing approaching to misfire and the model captures the important effect of heat release during the re-compression of the residual gas. The model is shown to predict the coupling between cycles in the sense that, when driven by a stochastic input, the model reproduces the evolution and the magnitude of the cyclic variability with similar statistical properties to measured data.
  • Keywords
    combustion; discrete time systems; fuel systems; ignition; internal combustion engines; statistical analysis; stochastic systems; valves; autoignition combustion; combustion control; combustion phasing; cycle-to-cycle dynamics; cyclic dispersion modeling; cyclic variability; fuel mass; heat release; intake valve closing; lean-fueled controlled autoignition engine; misfire; residual gas recompression; stochastic input; temperature; two-state discrete-time model; Combustion; Engines; Fuels; Heating; Predictive models; Temperature measurement; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6161383
  • Filename
    6161383