To optimize a shift transient during clutch engagement (third phase of a gearshift) it is fundamental to define the engine velocity reference and the more appropriate instant at which to begin the clutch engagement itself. An analytical procedure to calculate the engine velocity reference value during the third phase of a gearshift and the moment when to begin the clutch engagement is presented. Simulation results obtained considering upshift and downshift with engine torque either applied or not are presented. The analytical solution presented permits to tune the third phase of the gearshift in an easier way than previous strategy based on look-up tables.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Engine Control Strategy to Optimize a Shift Transient During Clutch Engagement


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    SAE 2001 World Congress ; 2001



    Publication date :

    2001-03-05




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Engine control strategy to optimize a shift transient during clutch engagement

    Amisano,F. / Serra,G. / Velardocchia,M. et al. | Automotive engineering | 2001


    2001-01-0877 Engine Control Strategy to Optimize a Shift Transient During Clutch Engagement

    Amisano, F. / Serra, G. / Velardocchia, M. et al. | British Library Conference Proceedings | 2001


    Clutch manipulation during engagement

    Lucas,G.G. / Mizon,R. / Univ.of Technol.Loughborough,Dept.of Transport Technology,GB et al. | Automotive engineering | 1978


    Optimal launching-intention-aware control strategy for automated clutch engagement

    Yang, Y. y. / Zhu, Z. b. / Wang, X. y. et al. | British Library Online Contents | 2017


    Optimal launching-intention-aware control strategy for automated clutch engagement

    Yang, Yi-yong / Zhu, Zao-bei / Wang, Xiang-yu et al. | Online Contents | 2017