Abstract: The clutch starting strategy for an electrically actuated dual clutch transmission (DCT) based on fuzzy control is presented, which comprehensively considers the driver intention, engine running state and clutch engaging state. In the fuzzy control system, the control parameter of the engine running state is denoted by the difference value between its rotating speed and the target speed, and the control parameter of the clutch engaging state is denoted by the ratio of the rotating speed difference between driving and driven disc to the driving disc rotating speed, the driver intention is identified in real time according to the accelerator pedal opening and its change rate. Then, fuzzy control rules of driver intention and clutch engagement speed inference system are designed based on the operating experience of the skilled driver. The drawbacks of triangle and Gauss membership function used in fuzzy inference system are analyzed from friction work, starting jerk and the clutch engagement speed curve. Furthermore, optimization of membership function based on uniform design method is put forward, and the optimal membership functions are obtained. Finally, The merits of the starting strategy are validated in some typical modes including slow starting, fast starting and ramp starting condition.

Key words: Dual clutch transmission, Intelligent control, Membership function optimization, Performance simulation, Starting, Uniform design