The vehicle initial acceleration process significantly influences the drivability and service life of dry dual clutch transmissions (DCT). Road conditions and driver intentions during the initial acceleration vary greatly, so flexible control strategies are needed to optimize transmission performance. The control strategies presented in this paper use the vehicle speed, equivalent slope, adhesion coefficient and driver intention with vehicle dynamic theory. The driver intention is recognized by a fuzzy logic model to give adaptive initial acceleration control strategies. The strategies decide the startup gear by considering the vehicle speed and adhesion coefficient and optimize the dual clutch control for the equivalent slope and driver intention. Finally, the recognition method and adaptive initial acceleration control strategies are evaluated to show that the vehicle can chose the best way to start for various road conditions and driver intentions that effectively improves the DCT startup performance.
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2014, Vol. 54 
),李亮
