Intelligent Tire Systems
Xu, Nan
Intelligent Tire Systems by Nan Xu, Hassan Askari, Amir Khajepour - 1st edition 2022 - 1 recurso en línea (XV, 166 páginas) 168 ilustraciones, 130 ilustraciones en blanco y negro - Synthesis Lectures on Advances in Automotive Technology 2576-8131 .
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.
9783031102684
10.1007/978-3-031-10268-4 doi
Neumáticos--Diseño y construcción
Inteligencia artificial
TL270 / 2022 EB
Intelligent Tire Systems by Nan Xu, Hassan Askari, Amir Khajepour - 1st edition 2022 - 1 recurso en línea (XV, 166 páginas) 168 ilustraciones, 130 ilustraciones en blanco y negro - Synthesis Lectures on Advances in Automotive Technology 2576-8131 .
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.
9783031102684
10.1007/978-3-031-10268-4 doi
Neumáticos--Diseño y construcción
Inteligencia artificial
TL270 / 2022 EB