• DocumentCode
    2931653
  • Title

    LPG Engine Inlet Manifold Pressure Measurement Based on State Prediction

  • Author

    Qu, Dawei ; Fan, Luyan ; Tian, Ye ; Wang, Lianxu ; Zhang, Yan

  • Author_Institution
    State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Jilin, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on the physical dynamic properties model of the intake system (from the state equation and measurement equation) and the intake system model and the statistical properties assumption of sensor noise, the measured data was mapped to the state space. Then using the state predictor, through the EKF (Extended Kalman Filter) , preprocessing the data from the intake manifold absolute pressure sensor, through the model transformation, unit transformation the sensor´s output signal is converted to the state variable describing the amount of intake air, then according to the established state equation of the intake system and the mathematical model of the measuring physical properties, under some criterias for optimal estimation, the optimal estimation was carried out so that the state vector and measurement vector achieve the best fit, to obtain optimal estimates of intake air amount.
  • Keywords
    Kalman filters; internal combustion engines; petroleum; pressure measurement; pressure sensors; LPG engine inlet manifold pressure measurement; extended Kalman filter; measurement equation; physical dynamic properties model; pressure sensor; sensor noise; state equation; state prediction; Covariance matrix; Engines; Equations; Fluid flow measurement; Kalman filters; Mathematical model; Pressure measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748635
  • Filename
    5748635