Intelligent Tire Systems (eBook)

Nan XU, Hassan Askari, Amir Khajepour (Autoren)

eBook Download: PDF

2022 | 1st ed. 2022
166 Seiten
Springer International Publishing (Verlag)
978-3-031-10268-4 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 28.9.2022
• Reihe/Serie: Synthesis Lectures on Advances in Automotive Technology
• Reihe/Serie: Synthesis Lectures on Advances in Automotive Technology
• Zusatzinfo: XV, 166 p. 168 illus., 130 illus. in color.
• Sprache: englisch
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Fahrzeugbau / Schiffbau
• Themenwelt: Technik ► Maschinenbau
• Schlagworte: Autonomous Vehicles • Intelligent tire • machine learning • Sensing Systems • tire characteristics • tire force estimation • Vehicle system dynamics
• ISBN-10: 3-031-10268-1 / 3031102681
• ISBN-13: 978-3-031-10268-4 / 9783031102684