Controlling optimum combustion requires the prediction of cylinder air mass (mair non measurable variable), and the calculation of the injected fuel mass. The elaboration of an accurate predictor requires the determination of an exact and robust « intake manifold » model.From a behavioural model tending toward the real « intake manifold » behaviour, this study describes the determination of two exact and robust stochastic state models, one using 1 sensor (intake manifold pressure), the other 2 sensors (intake manifold pressure and air flow indicator).The non linearity of the process is treated, and all the internal combustion engine map coefficients η(Ne,X) are defined as a single constant scalar.


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    Title :

    Engine Control Without Internal Combustion Engine Map: Nonstationary Stochastic State Model for Prediction of Cylinder Air Mass


    Additional title:

    Sae Technical Papers


    Contributors:
    Perrier, C. (author) / Fantini, J. (author) / Peron, L. (author)

    Conference:

    SAE 2002 World Congress & Exhibition ; 2002



    Publication date :

    2002-03-04




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    Engine Control Without Internal Combustion Engine Map: Nonstationary Stochastic State Model for Prediction of Cylinder Air Mass

    Fantini, J. / Peron, L. / Perrier, C. | British Library Conference Proceedings | 2002



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