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Author: Xiangwen Zhang Publisher: Academic Press ISBN: 9780124167315 Category : Smart materials Languages : en Pages : 0
Book Description
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
Author: Xiangwen Zhang Publisher: Academic Press ISBN: 9780124167315 Category : Smart materials Languages : en Pages : 0
Book Description
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
Author: Nan Xu Publisher: Springer Nature ISBN: 3031102681 Category : Technology & Engineering Languages : en Pages : 175
Book Description
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.
Author: Jennifer Bastiaan Publisher: ISBN: Category : Automobiles Languages : en Pages : 284
Book Description
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.
Author: Hassan Askari Publisher: ISBN: Category : Tires Languages : en Pages : 169
Book Description
Tires are the interface between a vehicle and the ground providing forces and isolation to the vehicle. For vehicle safety, stability, maintenance, and performance, it is vital to estimate or measure tire forces, inflation pressure, and contact friction coefficient. Estimation methods can predict tire forces to some extent however; they fail in harsh maneuvers and are dependent on road surface conditions for which there is no robust estimation method. Measurement devices for tire forces exist for vehicle testing but at the cost of tens of thousands of dollars. Tire pressure-monitoring sensors (TPMS) are the only sensors available in newer and higher end vehicles to provide tire pressure, but there are no sensors to measure road surface condition or tire forces for production vehicles. With the prospect of autonomous driving on roads in near future, it is paramount to make the vehicles safe on any driving and road condition. This is only possible by additional sensors to make up for the driver's cognitive and sensory system. Measuring road condition and tire forces especially in autonomous vehicles are vital in their safety, reliability, and public confidence in automated driving. Real time measurement of road condition and tire forces in buses and trucks can significantly improve the safety of road transportation system, and in miming/construction and off-road vehicles can improve performance, tire life and reduce operational costs. In this thesis, five different types of sensors are designed, modelled, optimized and fabricated with the objective of developing an intelligent tire. In order to design these sensors,~both electromagnetic generator (EMG) and triboelectric nanogenerators (TENG) are used. In the first two initial designed sensors, with the combination of EMG and TENG into a single package, two hybridized sensors are fabricated with promising potential for self-powered sensing. The potential of developed sensors are investigated for tire-condition monitoring system (TCMS). Considering the impressive properties of TENG units of the developed hybridized devices, three different flexible nanogenerators, only based on this newly developed technology, are developed for TCMS. The design, modelling, working mechanism, fabrication procedure, and experimental results of these TENG sensors are fully presented for applications in TCMS. Among these three fabricated sensors, one of them shows an excellent capability for TCMS because of its high flexibility, stable and high electrical output,and an encapsulated structure. The high flexibility of developed TENG sensor is a very appealing feature for TCMS, which cannot be found in any available commercial sensor. The fabricated TENG sensors are used for developing an intelligent tire module to be eventually used for road testing. Several laboratory and road tests are performed to study the capability of this newly developed TENG-based sensor for tire-condition monitoring system. However the development of this sensor is in its early stage, it shows a promising potential for installation into the hostile environment of tires and measuring tire-road interacting forces. A comparative studies are provided with respect to Michigan Scientific transducer to investigate the potential of this flexible nanogenerator for TCMS. It is worth mentioning that this PhD thesis presents one of the earliest works on the application of TENG-based sensor for a real-life system. Also, the potential of commercially available thermally and mechanically durable Micro Fiber Composite (MFC) sensor is experimentally investigated for TCMS with fabricating another set of intelligent tire. Several testing scenarios are performed to examine the potential of these sensors for TCMS taking into account a simultaneous measurement from Michigan Scientific transducer. Although both flexibility and the cost of this sensor is not comparable with the fabricated TENG device, they have shown a considerable and reliable performance for online measuring of tire dynamical parameters in different testing scenarios, as they can be used for both energy harvesting and sensing application in TCMS. The extensive road testing results based on the MFC sensors provide a valuable set of data for future research in TCMS. It is experimentally shown that MFC sensor can generate up to 1.4 $\mu W$ electrical power at the speed of 28 $[kph]$. This electrical output shows the high capability of this sensor for self-powered sensing application in TCMS. Results of this thesis can be used as a framework by researchers towards self-powered sensing system for real-world applications such as intelligent tires.
Author: David Fernández-Llorca Publisher: MDPI ISBN: 3039434020 Category : Technology & Engineering Languages : en Pages : 752
Book Description
This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue
Author: Hasan Toplar Publisher: ISBN: Category : Languages : en Pages : 68
Book Description
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.
Author: Li Li Publisher: Springer Science & Business Media ISBN: 0387444092 Category : Technology & Engineering Languages : en Pages : 458
Book Description
This book provides the latest information in intelligent vehicle control and intelligent transportation. Detailed discussions of vehicle dynamics and ground-vehicle interactions are provided for the modeling, simulation and control of vehicles. It includes an extensive review of past and current research achievements in the intelligent vehicle motion control and sensory field, and the book provides a careful assessment of future developments.
Author: Tan Li Publisher: Elsevier ISBN: 0323906915 Category : Technology & Engineering Languages : en Pages : 664
Book Description
Vehicle/Tire/Road Dynamics: Handling, Ride, and NVH presents the connection between NVH and conventional vehicle dynamics where both tire and road play a key role. In this book, there is a chapter for handling dynamics that provides an introduction to ride dynamics and a chapter for ride dynamics that provides an introduction to NVH, presenting better coherence and synergy between these major areas of vehicle/tire dynamics. Accompanying the fundamental theories, case studies are given to facilitate comprehension. In addition to the experimental implementations, the state-of-the-art approaches to simulating vehicle/tire dynamics are presented from the viewpoint of both industry and academia. This new book bridges the gap for experts in tire or pavement NVH (also tire-pavement interaction noise) and those who are experts in vehicle dynamics. Conventional vehicle dynamics (e.g., handling/braking/cornering) is focused on low-frequency performance while NVH (noise/vibration/harshness) is focused on high-frequency performance. There is also another area called "ride" (comfort/stability) which focuses on mid-frequency. Presents a closed loop system for vehicle dynamics, covering handling, riden and NVH. Provides insights into how intelligent tires will enhance autonomous vehicle control and optimize multiple performances, especially for electric vehicles. Demonstrates how pavement characteristics could greatly influence vehicle handling/ride/NVH and improve/balance these performances.
Author: L.C. Jain Publisher: IOS Press ISBN: 1643684892 Category : Computers Languages : en Pages : 1126
Book Description
The discipline of design studies applies various technologies, from basic theory to application systems, while intelligence engineering encompasses computer-aided industrial design, human-factor design, and greenhouse design, and plays a major part within design science. Intelligence engineering technologies also include topics from theory and application, such as computational technologies, sensing technologies, and video detection. This book presents the proceedings of DSIE2023, the 2023 International Symposium on Design Studies and Intelligence Engineering, held on 28 & 29 October 2023 in Hangzhou, China. The conference provides a platform for professionals and researchers from industry and academia to present and discuss recent advances in the fields of design studies and intelligence engineering. It also fosters cooperation among the organizations and researchers involved in these overlapping fields, and invites internationally renowned professors to further explore these topics in some depth, providing the opportunity for them to discuss the technical presentations with conference participants. In all, 275 submissions were received for the conference, 105 of which were accepted after thorough review by 3 or 4 referees for presentation at the conference and inclusion here. Providing a valuable overview of the latest developments, the book will be of interest to all those working in the fields of design studies and intelligence engineering.
Author: Xiangwen Zhang
Author: Xiangwen Zhang
Author: Fei-Yue Wang, 1st
Author: Nan Xu
Author: Jennifer Bastiaan
Author: Hassan Askari
Author: David Fernández-Llorca
Author: Hasan Toplar
Author: Li Li
Author: Tan Li
Author: L.C. Jain