Title :
Friction coefficient identification of dry clutch in automated manual transmissions
Author :
Hongqing Chu ; Nana Tang ; Bingzhao Gao ; Hong Chen
Author_Institution :
State Key Lab. of Automotive Simulation & Control, Jilin Univ., Changchun, China
Abstract :
The friction coefficient identification of dry clutch is a precondition for precise model-based dry clutch control. Recursive Least Square with forgetting factors is adopted to identify the friction coefficient of dry clutch during vehicle starting-up process. Because the accuracy of the engine damp coefficient affects friction coefficient identification of the clutch, it is necessary to identify the clutch friction coefficient and engine damp coefficient simultaneously. Through model simulation, it is shown that accurate and fast identification can be achieved no matter what initial values were chosen. It is also verified that the identification performance is good enough for different launch maneuvers with different throttle operations.
Keywords :
engines; friction; least mean squares methods; power transmission (mechanical); vehicle dynamics; automated manual transmission; clutch friction coefficient; engine damp coefficient; friction coefficient identification; model-based dry clutch control; recursive least square; throttle operation; vehicle starting-up process; Engines; Force; Friction; Mathematical model; Simulation; Torque; Vehicles; Automated Manual Transmissions(AMT); Clutch; Engine Damp coefficient; Friction coefficient Identification; Recursive Least Square;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231726