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Published:2022
Wenping Cao, Siliang Lu, "Front Matter", Advanced Sensors and Sensing Technologies for Electric Vehicles, Wenping Cao, Siliang Lu
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Advanced Sensors and Sensing Technologies for Electric Vehicles captures the latest technological advancements with a focus on improving component durability, energy efficiency, system controllability and fault tolerance. It provides an overview of new and emerging technologies in physics, electrical and electronic engineering, mechanical engineering, optical fibers, telecommunications, data analytics and artificial intelligence as applied in electric vehicles.
This broad-reaching book:
Addresses key issues facing the growing industry as it develops enhanced functionality, autonomous driving capabilities, and super connectivity
Offers solutions including sensing technologies, wireless transmission, big data analytics
Provides the information in a comprehensive, handbook-style manual that covers a range of technologies and disciplines
Appropriate for professors, Ph.D., graduate students and undergraduate students, Advanced Sensors and Sensing Technologies for Electric Vehicles is a timely and comprehensive addition to the literature.
Contributors
Wenping Cao
National Engineering Laboratory of Energy-Saving Motor and Control Technology, School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Bing Chen
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Liqiang Fan
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Yifan Fang
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Hongxiang Han
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Wenbin Huang
The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
Toshihiro Itoh
Research Center for Ubiquitous MEMS and Micro Engineering, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8564, Japan
Department of Precision Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Shuai Liu
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Siliang Lu
National Engineering Laboratory of Energy-Saving Motor and Control Technology, School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Minghua Lv
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Ryutaro Maeda
Research Center for Ubiquitous MEMS and Micro Engineering, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8564, Japan
Lei Mao
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Gang Qian
National Engineering Laboratory of Energy-Saving Motor and Control Technology, School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Yimin Shao
The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China
Dong F. Wang
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Research Center for Ubiquitous MEMS and Micro Engineering, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8564, Japan
Hang Wang
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230026, China
Hui Wang
National Engineering Laboratory of Energy-Saving Motor and Control Technology, School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Xiaoxian Wang
School of Electronics and Information Engineering, Anhui University, Hefei 230601, ChinaCAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei 230027, China
Xinyu Wang
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Min Xia
Department of Engineering, Lancaster University, Lancaster LA1 4YW, United Kingdom
Ziqi Zhao
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Department of Precision Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Qingyun Zhu
National Engineering Laboratory of Energy-Saving Motor and Control Technology, School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
Xun Zhu
Micro Engineering and Micro Systems Laboratory (JML), School of Mechanical and Aerospace Engineering (SMAE), Jilin University, Changchun 130025, China
Preface
Situated in China's electric vehicle valley, Hefei City, we are surrounded by EV manufacture centers, research institutions and the full supply chain. From our work with the automotive industry, we feel that there is a major lag behind in sensors and sensing technologies in the face of rapid development of electrified and intelligent vehicles. We have developed state-of-the-art technologies in research organizations in the form of research papers, theses, prototypes and patents but have not applied many to practice. This book will be a small step to fill this gap. We thank all the chapter contributors for their unique technological contributions. In particular, the editors Wenping and Siliang also wish to acknowledge the families for their patience and benevolence in the middle of the turbulent pandemic, whose names are Jane and Xiaoxian, respectively, 520.
Editors’ Biographies
Wenping Cao received a B.Eng. degree in Electrical Engineering from Beijing Jiaotong University, Beijing, China, in 1991, and a Ph.D. degree in Electrical Machines and Drives from University of Nottingham, Nottingham, United Kingdom, in 2004.
He is currently a Distinguished Professor with Anhui University, China. He has served as an Associate Editor for IEEE Transactions on Power Electronics, IEEE Transactions on Industry Applications, IEEE Industry Applications Magazine, IET Power Electronics, and Electric Power Components and Systems. His research interests include fault analysis and condition monitoring of electrical machines and power electronics.
Siliang Lu received B.S. and Ph.D. degrees in Mechanical Engineering from the University of Science and Technology of China, Hefei, China, in 2010 and 2015, respectively.
He is currently an Associate Professor with the School of Electrical Engineering and Automation, Anhui University, Hefei, China. He has served as an Associate Editor for IEEE Transactions on Instrumentation and Measurement and an editorial board member for Journal of Dynamics, Monitoring and Diagnostics. His current research interests include mechanical and electrical systems’ condition monitoring and fault diagnosis, signal processing, IoT and edge computing, automations, and robotics. He has co-authored more than 100 journal and conference papers in these fields.
Introduction
Electric vehicles (EVs) have been developing rapidly in the last decade across the industrialized world as they represent a key technology to cut down carbon emissions in transport and to improve the mobility in urban lives. However, EV industry is market driven and cost sensitive so that many technologies and products are utilized in EV applications without sufficient understanding of their faults, failure and characteristics. Appropriate sensing and measurements will help monitor the material fatigue, component breakdown and environmental changes which are critical to EV's safe operation. Up to date there are still some technical challenges in key components in EVs including power batteries, motor drives, power electronics, and mechanical components. Advanced sensors and sensing technologies can boost the development of an efficient, smart, reliable, and safe EV.
This book introduces the latest advanced sensors and sensing technologies for EVs in a view to improving component durability, energy efficiency, controllability and fault tolerance. It covers three sections:
Section I: Electrical signal measurements and applications in EVs
Section II: Magnetic signal measurements and applications in EVs
Section III: Speed, temperature, vibration, payload, and acoustic sensing and applications in EVs
By explaining the principles, implementation, tests and applications of emerging electrical, magnetic, speed, temperature, vibration, payload, and acoustic sensors and related sensing technologies, this book will attract the attention of the academics, scientists, engineers and practitioners who are interested in electrified vehicle technologies. It is also aimed to serve as a reference book for graduates and PhDs who work in the related fields.