Dry Clutch Control for Automotive Applications von Pietro J. Dolcini | ISBN 9781447125600

Dry Clutch Control for Automotive Applications

von Pietro J. Dolcini, Carlos Canudas-de-Wit und Hubert Béchart
Mitwirkende
Autor / AutorinPietro J. Dolcini
Autor / AutorinCarlos Canudas-de-Wit
Autor / AutorinHubert Béchart
Buchcover Dry Clutch Control for Automotive Applications | Pietro J. Dolcini | EAN 9781447125600 | ISBN 1-4471-2560-6 | ISBN 978-1-4471-2560-0

From the reviews:

“The present book encourages the technology transfer in control engineering, by analyzing the control of a part of the power train, which has a key role in ride comfort. … The book could be of great interest to engineers working in automotive design as well as to academic researchers, due to the combination of theoretical results and interesting applications to the automotive control.” (Mihail Megan, Zentralblatt MATH, Vol. 1216, 2011)

Dry Clutch Control for Automotive Applications

von Pietro J. Dolcini, Carlos Canudas-de-Wit und Hubert Béchart
Mitwirkende
Autor / AutorinPietro J. Dolcini
Autor / AutorinCarlos Canudas-de-Wit
Autor / AutorinHubert Béchart
Dry Clutch Control for Automated Manual Transmission Vehiclesanalyses the control of a part of the powertrain which has a key role in ride comfort during standing-start and gear-shifting manoeuvres. The mechanical conception of the various elements in the driveline has long since been optimised so this book takes a more holistic system-oriented view of the problem featuring: a comprehensive description of the driveline elements and their operation paying particular attention to the clutch, a nonlinear model of the driveline for simulation and a simplified model for control design, with a standing-start driver automaton for closed loop simulation, a detailed analysis of the engagement operation and the related comfort criteria, different control schemes aiming at meeting these criteria, friction coefficient and unknown input clutch torque observers, practical implementation issues and solutions based on experience of implementing optimal engagement strategies on two Renault prototypes.