Affiliation:
1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai, People’s Republic of China
Abstract
This paper explores the association between the driver’s starting intentions and control of dry clutch engagement during the vehicle launch in order to develop an intelligent automated mechanical transmission system. The optimal engagement laws are deduced by finding a compromise between the friction loss, the shock intensity, the engine torque and the engine angular acceleration, based upon the extremum value theorem. The optimal parameters of clutch engagement are adjusted for the value of the shock intensity. The driver’s starting intentions, which can be divided into three patterns, namely fast starting, medium-speed starting and slow starting, are associated with optimal control of clutch engagement according to fuzzy control theory. It is demonstrated that optimal control of dry clutch engagement can reflect the driver’s starting intentions correctly. The obtained optimal accelerator opening has more advantages than the actual accelerator opening, which can be adopted as the ideal input of the vehicle with an intelligent automated mechanical transmission system.
Subject
Mechanical Engineering,Aerospace Engineering
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