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Design and Analysis of Intelligent Tires

2017-05 Smart materials
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Release : 2017-05
Genre : Smart materials
Kind : eBook
Book Rating : 315/5 ( reviews)

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Book Synopsis Design and Analysis of Intelligent Tires by : Xiangwen Zhang

Download or read book Design and Analysis of Intelligent Tires written by Xiangwen Zhang. This book was released on 2017-05. Available in PDF, EPUB and Kindle. Book excerpt: Design and Analysis of Intelligent Tires covers tire temperature, pressure, friction, wear, and aging. While its main focus is intelligent tire properties analysis and application development, it also addresses intelligent technology, control theory, and sensor technology, providing users with strict theoretical analysis and detailed technology design processes for intelligent tires. Systems featured include tire pressure monitoring, vehicle active braking, steering, and tire state intelligent regulating systems. The text will be of interest to a wide swath of professionals, including those working in vehicle electronics, vehicle control technology, and vehicle tire technology. Users will find a plethora of theoretical studies, design methods, and real-world implementations and applications. Provides the critical aspects of intelligent tires, including properties analysis and application development Addresses control theory, sensor technology, and detailed technology design processes Considers the advantages and limitations of different sensors Presents key applications of intelligent tires supported by case studies

Intelligent Tire Systems

2022-09-28 Technology & Engineering
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Release : 2022-09-28
Genre : Technology & Engineering
Kind : eBook
Book Rating : 681/5 ( reviews)

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Book Synopsis Intelligent Tire Systems by : Nan Xu

Download or read book Intelligent Tire Systems written by Nan Xu. This book was released on 2022-09-28. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Tires

2007-05
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Release : 2007-05
Genre :
Kind : eBook
Book Rating : 062/5 ( reviews)

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Book Synopsis Intelligent Tires by : Fei-Yue Wang, 1st

Download or read book Intelligent Tires written by Fei-Yue Wang, 1st. This book was released on 2007-05. Available in PDF, EPUB and Kindle. Book excerpt:

Design of a Smart Tire Sensor System

2015 Automobiles
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Release : 2015
Genre : Automobiles
Kind : eBook
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Book Synopsis Design of a Smart Tire Sensor System by : Jennifer Bastiaan

Download or read book Design of a Smart Tire Sensor System written by Jennifer Bastiaan. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt: A research project is conducted that involves the design of a smart tire sensor system that can determine six tire outputs, including tire longitudinal force, tire lateral force, tire vertical force, tire aligning moment, tire / road friction coefficient and tire air inflation pressure. All of these quantities are estimated using in-tire deformation sensors. The rationale for conducting the smart tire research project is that its results have the potential to improve ground vehicle safety. The objectives of the research project are to identify the quantity and types of sensors required, determine the sensor locations and orientations in the tire, develop post-processing methods for the raw sensor output and confirm correct operation of the sensor system, which involves prototyping and physical testing. Strain is predicted in the tire inner liner as part of a tire finite element analysis study. The tire finite element model is used to calculate strain (inputs) and tire forces (outputs) for use in artificial neural networks. Results from the radial basis function networks studied are excellent, with calculated tire forces within 1% and tire aligning moment within 1%. The conclusion is that radial basis function networks can likely be used effectively for analysis of strain sensor measurements in the smart tire sensor system. Further studies using virtual strain show that the system should have two in-tire strain sensors located near one another at the outside sidewall, with one oriented longitudinally and the other oriented radially, along with an angular position sensor. Commercially available piezoelectric deformation sensors are installed in this layout, along with a rotary encoder, in a smart tire physical prototype. On-road data collected during physical testing are used with radial basis function neural networks to estimate the three orthogonal tire forces and the tire aligning moment. The networks are found capable of predicting the correct trends in the tire force data over several testing events. While the smart tire sensor system in its current state of development is not production-ready, the research project has resulted in new scientific knowledge that will be the foundation of future smart tire work. Contributions include the identification of in-tire sensor quantity, locations and orientations, confirmation that an angular position measurement is necessary and the determination of the artificial neural network architecture. The most significant remaining smart tire technical hurdle is the identification of a sufficiently durable strain sensor for in-tire use. If this strain sensor can be found, the next steps will include validation of the non-force tire estimates and studies of temperature effects, wireless data transmission and energy harvesting for a battery free design. Despite these outstanding concerns, the results of the smart tire research project show that the concept is feasible and further work is justified.

Experimental Analysis of Smart Tires

2014
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Release : 2014
Genre :
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Book Synopsis Experimental Analysis of Smart Tires by : Hasan Toplar

Download or read book Experimental Analysis of Smart Tires written by Hasan Toplar. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt: A novel smart tire monitoring system was designed and implemented on a fully functional car tire. Polyvinylidene fluoride (PVDF) based piezo-electric sensors were embedded inside rubber tire to measure strain related data. System electronics were implemented inside a robust IP-68 (Ingress Protection) rated enclosure. This enclosure was mounted on a car wheel and successfully recorded sensory data onto an SD card during driving. Data collected from the PVDF sensors were then post-processed in Matlab. An artificial neural network (ANN) was built to correlate the sensor data to the readings given by an industry grade load wheel. Although the correlations are very crude, this study shows a promising way to analyze the strain related information from car tires by using PVDF sensors in conjunction with ANNs. This strain related information can then be used to estimate six different values concerning the tire, namely lateral force (Fy), longitudinal force (Fx), normal force (Fz), aligning moment (Mz), inflation pressure and friction coefficient. All of which are very important parameters for vehicle dynamics. However the estimation of these values is not presented within the context of this work. Two low cost data acquisition systems were designed in-house with two different Arduino platforms. However these fell short of data acquisition performance requirements required for realistic driving applications. It was seen that the Arduino family, low-end microprocessors, were not the best choice for applications of this nature. Finally electronic improvements such as the usage of field programmable gate arrays (FPGA) is discussed and suggested for future works.

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