The objectives of powertrain control are to achieve superior driving performance and fuel economy. However, these objectives are conflicting each other, and it is desired to develop a framework for powertrain control that may be utilized for optimal handling of the three conflicting objectives in offline controller design as well in online adaptive control. In view of this, this paper is focused on two control problems: optimal gear shift pattern scheduling which is related to driving performance and fuel economy, and smooth gear shifting control which is focused on riding comfort. A model-based approach is applied to solve these practical issues in automotive powertrain control: optimizing gear shift patterns to balance driving performance and fuel economy, and smoother gear shifting to improve riding comfort. A shift scheduling method based on real-time optimization is proposed and evaluated to show its effectiveness for flexible tuning between performance and fuel economy. For smooth gear shifting, a collaborative control scheme between engine and automatic transmission (AT) gearbox is discussed to aim for a more fundamental torque control of the powertrain. To facilitate the model-based approach, an AT gearbox model is devised using hybrid systems techniques to represent the discrete event nature of automatic transmissions. The proposed approach represents a step towards applying the model-based design to more complex and flexibility demanded automotive control applications.


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    Titel :

    Model-based optimal gear shift pattern scheduling and smooth gear shifting control


    Beteiligte:
    Hur, Hwan (Autor:in) / Nagata, Takashi (Autor:in) / Tomizuka, Masayoshi (Autor:in)


    Erscheinungsdatum :

    2006


    Format / Umfang :

    10 Seiten, 11 Bilder, 4 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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