The paper deals with the problem of identifiability of mean-value models of turbocharged IC engines. A way of reducing such models to linear regressions using differential algebra is presented. The conditions of the global identifiability and the persistent excitation are formulated in explicit form for a given set of sensors. It is accompanied with the discussion how to reduce the set of sensors required for engine identification. As a side product it is shown how to use regressors derived for estimation and/or verification of some static nonlinearities using dynamic test data. The results obtained can be used for both model-based FDI (fault detection and isolation) and engine control purposes but mainly for automatic generation of engine test plans and identification.


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    Title :

    Identifiability of Turbocharged IC Engine Models


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    International Congress & Exposition ; 1999



    Publication date :

    1999-03-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Identifiability of turbocharged internal combustion engine models

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