Intelligent Tire Systems
Xu, Nan, Askari, Hassan, Khajepour, Amir
Produktnummer:
1863ef03dc60f740839c4a830ac419e050
Autor: | Askari, Hassan Khajepour, Amir Xu, Nan |
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Themengebiete: | Intelligent tire autonomous vehicles machine learning sensing systems tire characteristics tire force estimation vehicle system dynamics |
Veröffentlichungsdatum: | 30.09.2022 |
EAN: | 9783031102677 |
Sprache: | Englisch |
Seitenzahl: | 166 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Produktinformationen "Intelligent Tire Systems"
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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