Abstract Detection and isolation of faults in the exhaust gas path of a turbocharged spark ignition (SI) engine is an essential part of the engine control unit (ECU) strategies to minimize exhaust emission and ensure safe operation of a turbocharger. This paper proposes a novel model-based strategy to detect and isolate an exhaust manifold leakage and a stuckclosed wastegate fault. The strategy is based on a globally optimal parameter estimation algorithm which detects a virtual hole area in the exhaust manifold. The estimation algorithm requires observation of the exhaust manifold’s input and output flows. The input flow is estimated by a nonlinear Luenberger observer which is analytically shown to be robust to the faults in the exhaust manifold. The output flow of the exhaust manifold is estimated by a sliding mode observer. The designed fault detection and isolation (FDI) strategy is tested with the experimental data collected from a 1.7-liter turbocharged SI engine. The validation results show that the FDI strategy can successfully detect a leakage fault caused by a 5 mm hole in the exhaust manifold, and can identify the wastegate stuck-closed fault.


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    Titel :

    Detection and isolation of faults in the exhaust path of turbocharged automotive engines


    Beteiligte:
    Salehi, R. (Autor:in) / Alasty, A. (Autor:in) / Shahbakhti, M. (Autor:in) / Vossoughi, G. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.02.2015


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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