To design and optimize the vehicle driveline is necessary to decrease the fuel consumption and improve dynamic performance. This paper describes a methodology to optimize the driveline design including the axle ratio, transmission shift points and transmission shift ratios considering uncertainty. A new and flexible tool for modeling multi-domain systems, Modelica, is used to carry out the modeling and analysis of a vehicle, and the multi-domain model is developed to determine the optimum design in terms of fuel economy, with determinability. Secondly, a robust optimization is carried out to find the optimum design considering uncertainty. The results indicate that the fuel economy and dynamic performance are improved greatly.


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    Titel :

    Modeling and Optimization of Vehicle Acceleration and Fuel Economy Performance with Uncertainty Based on Modelica


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Qin, Gang (Autor:in) / Chen, Hongyan (Autor:in) / Chen, Wei (Autor:in) / Zhang, Yunqing (Autor:in)

    Kongress:

    SAE World Congress & Exhibition ; 2009



    Erscheinungsdatum :

    2009-04-20




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    2009-01-0232 Modeling and Optimization of Vehicle Acceleration and Fuel Economy Performance with Uncertainty Based on Modelica

    Chen, W. / Chen, H. / Zhang, Y. et al. | British Library Conference Proceedings | 2009


    Modeling road vehicle dynamics with Modelica

    Drogies,S. / Bauer,M. / Univ.Darmstadt,DE | Kraftfahrwesen | 2002


    Modeling Road Vehicle Dynamics with Modelica

    Bauer, Michael / Drogies, Stefan | SAE Technical Papers | 2002


    2002-01-1219. Modeling Road Vehicle Dynamics with Modelica

    Drogies, S. / Bauer, M. / Society of Automotive Engineers | British Library Conference Proceedings | 2002