Stricter emission and consumption requirements lead to an increasing importance of hydrocarbon (HC) and carbon monoxide (CO) emissions for diesel engines. On the one hand, the amount of HC and CO raw emissions are important for emission prediction as well as for exhaust gas after treatment. On the other hand, they are also important for fuel consumption prediction, since part of the fuel energy is bound in these molecules. Because of this importance, a phenomenological HC/CO model was developed to predict raw emissions for diesel engines. The HC/CO model takes the main emission sources into account: Fuel that slowly leaks out of the injector after the end of injection is included in the HC model. Furthermore, HC and CO emissions from cold areas near the combustion chamber walls are considered. HC and CO emissions from lean overmixed spray regions are also implemented. As an additional source, the CO model considers locally understoichiometric regions of combustion. The validation results of the model using two passenger car diesel engines are shown for this purpose. With the help of the calibrated model, the shares of the different emission sources in the total HC and CO emissions of an engine can be estimated and consequently optimization potentials can be identified. An application of the CO model in the context of an acceleration process within a real driving emissions (RDE) simulation is shown. In this context, it is demonstrated how transient influences on total emissions and emission sources are reproduced in the model.


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    Titel :

    Stationary and Transient Simulation of HC and CO Emissions of Diesel Engines


    Weitere Titelangaben:

    Proceedings


    Beteiligte:
    Bargende, Michael (Herausgeber:in) / Reuss, Hans-Christian (Herausgeber:in) / Wagner, Andreas (Herausgeber:in) / Schnapp, Christian (Autor:in) / Grill, Michael (Autor:in) / Bargende, Michael (Autor:in)


    Erscheinungsdatum :

    2021-05-14


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Deutsch




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