The shift quality is one of the most important factors that affect the performances of comfort, ride and drivability for vehicles equipped with dual-clutch transmission (DCT). Assessing the shift quality and then optimizing shift control strategy and algorithm by the guidance of assessment results to improve the vehicle performance is a useful idea for the development of DCT, and also for other types of automatic transmissions. This paper defines the shift quality assessment indexes in detail for DCT from the control point of view. The vehicle model for DCT is built using MATLAB/Simulink tools. And then a shift quality assessment system is developed. Through the co-simulation of DCT vehicle model and assessment system, the shift quality control objectives, namely expected control range of each assessment index, are determined, which provide reference and guidance for the optimization of shift control strategy and algorithm for DCT. The highest level of shift quality assessment is selected as the objective optimization function and the multi-objective genetic algorithm (MGA) is used to optimize the control strategy of clutch switch timing during the torque phase and inertia phase. The simulation results about shift quality before and after the optimization are observed, which verify the correctness and effectiveness of the shift control strategy after optimization, thus improving the shift quality of DCT.
Shift Quality Assessment and Optimization for Dual Clutch Transmission
2012
12 Seiten
Conference paper
English
Shift quality assessment and optimization for dual clutch transmission
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