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Intelligent Tire Systems
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Intelligent Tire Systems/ by Nan Xu, Hassan Askari, Amir Khajepour.
作者:
Xu, Nan.
其他作者:
Khajepour, Amir.
面頁冊數:
XV, 166 p. 168 illus., 130 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Vehicle Engineering. -
電子資源:
https://doi.org/10.1007/978-3-031-10268-4
ISBN:
9783031102684
Intelligent Tire Systems
Xu, Nan.
Intelligent Tire Systems
[electronic resource] /by Nan Xu, Hassan Askari, Amir Khajepour. - 1st ed. 2022. - XV, 166 p. 168 illus., 130 illus. in color.online resource. - Synthesis Lectures on Advances in Automotive Technology,2576-8131. - Synthesis Lectures on Advances in Automotive Technology,.
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.
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.
ISBN: 9783031102684
Standard No.: 10.1007/978-3-031-10268-4doiSubjects--Topical Terms:
1366163
Vehicle Engineering.
LC Class. No.: TL1-483
Dewey Class. No.: 629.2
Intelligent Tire Systems
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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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