Optimal control of dry clutch engagement based on the driver’s starting intentions

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.

An improved startup mode using clutch coupling for in-wheel electric vehicle drives

“…The resistive force acting upon the vehicle is generally the summation of the aerodynamic drag, rolling resistance, inclination force and acceleration [15]. Ignoring the rotational parts of the wheel, the vehicle mass is lumped into a single inertia referred to the rotational shaft of the driving motor,…”

Starting assistance device for directly-driven electric vehicle with variable-idle speed control

“…Both of them focus on reducing shock intensity and improving the driving comfort of vehicle. Optimized controller for track of engine throttle and displacement control of mechanical clutch is designed to coordinate the friction work of clutch and driving comfort [6]. Through the speed control of the induction machine and the diesel engine, an advanced gear-shifting and clutching strategy is designed to decrease mechanical shock [7].…”

“…And the controller design for the displacement control of clutch engagement as described in [5,6] is sensitive to the parameters, such as coefficient of friction disk, displacement of diaphragm spring or time constants for the actuator dynamics, etc., somehow reducing the performance of system. And the engaging speed of centrifugal clutch is usually fixed without considering the actual load conditions.…”

Optimal idling speed control of direct-drive electric vehicle launch in consideration of drive comfort

“…All of them are expected to satisfy following different and conflicting objectives: fast engagement, small facing wear, and less shock intensity. Based on driver's starting intentions, a fuzzy control rules are designed for optimal control of clutch engagement in [2]. In literature [3], an optimal controller is designed as a linear feedback form of the states and the estimated disturbances.…”