DocumentCode
1704831
Title
A phenomenological model for torque transmissibility during dry clutch engagement
Author
Amari, R. ; Tona, P. ; Alamir, M.
Author_Institution
IFP Powertrain Eng., Vernaison, France
fYear
2009
Firstpage
600
Lastpage
606
Abstract
In this paper, a phenomenological model of clutch torque transmissibility is proposed. This model applies to clutch engagement during vehicle start-up in both manual and automated-manual configurations. The proposed model can be identified through on board measurements available in most production vehicles. The model is based on the identification of a nonlinear characteristic that relates the transmissibility of engine torque to the mainshaft to the clutch actuator position and the clutch slip speed. To smooth the effect of neglected dependencies on torque transmissibility and obtain a non-linear characteristic with very low dispersion, the engine torque setpoint is also included in the model. An empirical estimation of load torque during start-up, dependent on slip speed and engine torque set-point, completes the model and improves its accuracy. The model has been identified and validated on two prototype vehicles with very different features: a small city car with an electrically-actuated automated manual transmission and a big executive car with a hydraulic-actuated manual transmission. An application example is given at the end of the paper to show the usefulness of the model: an alternative analysis, based on power computation, of the conditions that have to be respected to avoid oscillations at clutch engagement.
Keywords
automotive components; clutches; engines; power transmission (mechanical); torque; vehicle dynamics; clutch actuator position; clutch torque transmissibility; dry clutch engagement; empirical estimation; engine torque; hydraulic-actuated manual transmission; phenomenological model; Actuators; Automatic control; Control systems; Engines; Friction; Gears; Mechanical power transmission; Production; Torque control; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE
Conference_Location
Saint Petersburg
Print_ISBN
978-1-4244-4601-8
Electronic_ISBN
978-1-4244-4602-5
Type
conf
DOI
10.1109/CCA.2009.5280927
Filename
5280927
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