REAL-TIME ROAD PROFILE IDENTIF | Buch | 978-1-68173-481-1 | sack.de

Buch, Englisch, 148 Seiten, Paperback, Format (B × H): 203 mm x 229 mm

Reihe: Synthesis Lectures on Advances in Automotive Technology

REAL-TIME ROAD PROFILE IDENTIF

Buch, Englisch, 148 Seiten, Paperback, Format (B × H): 203 mm x 229 mm

Reihe: Synthesis Lectures on Advances in Automotive Technology

ISBN: 978-1-68173-481-1
Verlag: MORGAN & CLAYPOOL


Ever stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics.In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented.
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Table of Contents: Acknowledgments / Nomenclature / Introduction / System Modeling / Data-Driven Road Classification Algorithms / Model-Based Road Estimation Algorithms / Road Adaptive Hybrid Suspension Control / Suspension Predictive Control Based on Road Estimation / Conclusions / References / Authors' Biographies


Amir Khajepour is a professor of mechanical and mechatronics engineering at the University of Waterloo. He holds the Canada Research Chair in Mechatronic Vehicle Systems, and NSERC/General Motors Industrial Research program that applies his expertise in several key multidisciplinary areas including system modeling and control of dynamic systems. His research has resulted in many patents and technology transfers. He is the author of more than 400 journal and conference publications as well as several books. He is a Fellow of the Engineering Institute of Canada, the American Society of Mechanical Engineers, and the Canadian Society of Mechanical Engineering.


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