Real-time knowledge of the variable characteristics in dry-clutch subsystems is crucial for understanding the dynamic behaviour of an automotive dry-clutch system. The automotive dry-clutch system plays a key role in passenger car gearboxes based on automated manual transmissions as well as in broader class of vehicle driveline systems. Thus, in order to have a good performance of vehicle longitudinal dynamics, whose response is strongly related to the effectiveness of the control strategy, real-time estimation of the dry-clutch torque transmission characteristics is required.This paper presents an original development of an on-line torque transmission model characteristics estimation methodology along with ability of vehicle powertrain dynamics consideration. The method focused to provide the direct capability to observe the kiss-point value by using measurable signals in real-time. Real-time simulations in various conditions demonstrate the effectiveness of the algorithm. Very promising results are expected in different scenarios.
REAL TIME IDENTIFICATION OF AUTOMOTIVE DRY CLUTCH FRICTIONAL CHARACTERISTICS USING TRUST REGION METHODS
Adolfo SenatoreWriting – Review & Editing
;Mario PisaturoInvestigation
;Mojtaba Sharifzadeh
Investigation
2017
Abstract
Real-time knowledge of the variable characteristics in dry-clutch subsystems is crucial for understanding the dynamic behaviour of an automotive dry-clutch system. The automotive dry-clutch system plays a key role in passenger car gearboxes based on automated manual transmissions as well as in broader class of vehicle driveline systems. Thus, in order to have a good performance of vehicle longitudinal dynamics, whose response is strongly related to the effectiveness of the control strategy, real-time estimation of the dry-clutch torque transmission characteristics is required.This paper presents an original development of an on-line torque transmission model characteristics estimation methodology along with ability of vehicle powertrain dynamics consideration. The method focused to provide the direct capability to observe the kiss-point value by using measurable signals in real-time. Real-time simulations in various conditions demonstrate the effectiveness of the algorithm. Very promising results are expected in different scenarios.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.