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.
Les mer
Autonomous vehicles (AVs), electric vehicles (EVs), shared sets, and connected vehicles have further revolutionized interdisciplinary research on vehicle and tire systems.
Chapter 1 - Introduction to Intelligent Tires.- Chapter 2 - Tire Modeling.- Chapter 3 - Sensing Systems in Intelligent Tires.- Chapter 4 - Tire Forces Estimation in Intelligent Tire.- Chapter 5 - Machine Learning for Slip Angle and Slip Ratio Prediction.- Chapter 6 - Tire-Road Friction Estimation.
Les mer
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.
Les mer
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
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

Produktdetaljer

ISBN
9783031102677
Publisert
2022-09-30
Utgiver
Vendor
Springer International Publishing AG
Høyde
240 mm
Bredde
168 mm
Aldersnivå
Professional/practitioner, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Biographical note

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.