• DocumentCode
    2852726
  • Title

    An exhaust manifold pressure estimator for a two-stage turbocharged Diesel engine

  • Author

    Chiara, F. ; Canova, M. ; Yue-Yun Wang

  • Author_Institution
    Center for Automotive Res., Ohio State Univ., Columbus, OH, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    1549
  • Lastpage
    1554
  • Abstract
    The exhaust manifold pressure is a crucial variable for turbocharged Diesel engines, affecting the torque production and the emissions through variations in the EGR mass flow and in the residual mass fraction in the cylinder. This variable is therefore considered very relevant for closed-loop EGR and turbocharger control. However, in production applications, the cost of the pressure sensor and the particularly harsh environment where this must work are practical barriers to its actual implementation. Therefore, the need for a rapid, reliable and robust estimation of this variable from low-cost production sensors is strong, above all, in the contest of advanced engine powertrains. This work describes the development of an estimator for the exhaust manifold pressure in a turbocharged Diesel engine with two-stage turbocharger. The approach proposed relies on a feed-forward scheme based on the inversion of a two-stage turbocharger model, which includes the radial turbines, nozzles and valves. Calibration and validation results of the estimator are presented in both steady-state and transient operating conditions.
  • Keywords
    calibration; closed loop systems; diesel engines; feedforward; manifolds; nozzles; turbines; EGR mass flow; calibration; closed-loop EGR; engine powertrains; exhaust manifold pressure estimator; feed-forward scheme; nozzles; radial turbines; residual mass fraction; turbocharger control; two-stage turbocharged diesel engine; valves; Diesel engines; Equations; Manifolds; Mathematical model; Turbines; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991138
  • Filename
    5991138