• DocumentCode
    3737550
  • Title

    Diesel engine NOx emission modeling with airpath input channels

  • Author

    Talha Boz;Mustafa Unel;Volkan Aran. Metin Yilmaz;Cetin Gurel;Caner Bayburtlu;Kerem Koprubasi

  • Author_Institution
    Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul. Turkey
  • fYear
    2015
  • Firstpage
    3382
  • Lastpage
    3387
  • Abstract
    Stringent international regulations in terms of emissions necessitate more efficient transient calibration procedures for diesel engines which in turn implies utilization of dynamic models of the combustion process. In this paper, a novel input design framework in terms of multi-sweep chirp signals is developed and airpath input channels are excited by designed chirp signals. Linear and nonlinear system identification methods are utilized to model NOx emissions with airpath input channels. Experimental results show that while linear identification techniques provide poor performance in terms of training and validation fits, nonlinear models achieve remarkable performance in training and validation fits.
  • Keywords
    "Autoregressive processes","Mathematical model","Diesel engines","Atmospheric modeling","Chirp","Neural networks","Fuels"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2015.7392622
  • Filename
    7392622