Many excellent papers have been written about the subject of estimating engine-out NOx on diesel engines based on real-time available data. The claimed accuracy of these models is typically around 6-10% on validation data sets with known inputs. This reported accuracy typically ignores input uncertainties, thus arriving at an optimistic estimate of the model accuracy in a real-time application. In our paper we analyze the effect of input uncertainty on the accuracy of engine-out NOx estimates via a numerical Monte Carlo simulation and show that this effect can be significant. Even though our model is based on an in-cylinder pressure sensor, this sensor is limited in its capability to reduce the effect of other measured inputs on the model.


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    Titel :

    Limitations of Real-Time Engine-Out NOx Estimation in Diesel Engines


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Fulton, Brien (Autor:in) / Upadhyay, Devesh (Autor:in) / Cho, Hoon (Autor:in) / Van Nieuwstadt, Michiel (Autor:in) / Brewbaker, Thomas (Autor:in)

    Kongress:

    WCX™ 17: SAE World Congress Experience ; 2017



    Erscheinungsdatum :

    28.03.2017




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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