The stochastic properties of continuous time model parameters obtained through discrete least squares estimation are examined. Particular attention is given to the application of estimating the fuel evaporation dynamics of a V-8 SI engine. The continuous time parameter distributions in this case are biased. The bias is shown to be a function of both measurement noise and sampling rate selection. Analysis and experimental results suggest that for each particular model, there is a corresponding optimum sampling rate. A bias compensation formula is proposed that improves the accuracy of least squares estimation without iterative techniques.


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    Title :

    Fuel Evaporation Parameter Identification during SI Cold Start


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2001 World Congress ; 2001



    Publication date :

    2001-03-05




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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