Overview
- Discusses role of intelligent tires in future autonomous and connected driving
- Explains how intelligent tires can boost our understanding of tire dynamics
- Reveals intelligent tires vital role in safety, reliability, and public confidence in automated driving
Part of the book series: Synthesis Lectures on Advances in Automotive Technology (SLAAT)
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About this book
Vehicle performance is largely controlled by the tire dynamic characteristics mediated by forces and moments generated at the tire-road contact patch. The tire may undergo deformations that increase the longitudinal and lateral forces within the contact patch. It is crucial to develop a model for the accurate prediction of tire characteristics, as this will enable optimization of the overall performance of vehicles. Research has been conducted to identify new strategies for tire measurement and modeling vehicle dynamics analysis. Autonomous vehicles (AVs), electric vehicles (EVs), shared sets, and connected vehicles have further revolutionized interdisciplinary research on vehicle and tire systems. The performance and reliability of vehicle active safety and advanced driver assistance systems (ADASs) are primarily influenced by the tire force capacity, which cannot be measured. High active safety and optimized ADAS are particularly crucial for automated driving systems (ADS) to guarantee passenger safety in intelligent transportation settings. The establishment of online measurement or estimation tools for tire states, especially for autonomous vehicles, is critical.
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Table of contents (6 chapters)
Authors and Affiliations
About the authors
NAN XU: Nan Xu received his B.Sc. and M.Sc. degrees from Harbin Institute of Technology in 2007 and 2009, respectively, and the Ph.D. degree in vehicle engineering from Jilin University in 2012. He is currently an Associate Professor with the State Key Laboratory of Automotive Simulation and Control, Jilin University of China. In 2019, he was a Visiting Scholar with the Department of Mechanical and Mechatronics Engineering, University of Waterloo. His current research focuses on tire dynamics and control, intelligent tires, vehicle state estimation, and motion control of electric vehicles and autonomous vehicles.
HASSAN ASKARI: Hassan Askari was born in Rasht, Iran. He received his B.Sc., M.Sc., and Ph.D. degrees from the Iran University of Science and Technology, Tehran, Iran, University of Ontario Institute of Technology, Oshawa, Canada, and the University of Waterloo, Waterloo, Canada, in 2011, 2014, and 2019, respectively. He published more than 75 journals and conference papers in the areas of nonlinear vibrations, applied mathematics, nanogenerators, intelligent tires, and self-powered sensors. He co-authored one book and one book chapter both published by Springer. He is an active reviewer for more than 50 journals and an editorial board member of several scientific and international journals.
AMIR KHAJEPOUR: Amir Khajepour is a Professor of mechanical and mechatronics engineering at the University of Waterloo, Waterloo, ON, Canada, where he is also the Canada Research Chair in mechatronic vehicle systems and senior NSERC/General Motors Industrial Research Chair in Holistic Vehicle Control. He has developed an extensive research program that applies his expertise in several key multidisciplinary areas. He is a fellow of The Engineering Institute of Canada, The American Society of Mechanical Engineers, and The Canadian Society of Mechanical Engineering.
Bibliographic Information
Book Title: Intelligent Tire Systems
Authors: Nan Xu, Hassan Askari, Amir Khajepour
Series Title: Synthesis Lectures on Advances in Automotive Technology
DOI: https://doi.org/10.1007/978-3-031-10268-4
Publisher: Springer Cham
eBook Packages: Synthesis Collection of Technology (R0), eBColl Synthesis Collection 11
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-10267-7Published: 30 September 2022
eBook ISBN: 978-3-031-10268-4Published: 28 September 2022
Series ISSN: 2576-8107
Series E-ISSN: 2576-8131
Edition Number: 1
Number of Pages: XV, 166
Number of Illustrations: 38 b/w illustrations, 130 illustrations in colour