Electrification of Heavy-Duty Construction Vehicles

Electrification of Heavy-Duty Construction Vehicles

Hong Wang, Yanjun Huang, Amir Khajepour, Chuan Hu
ISBN: 9781681732398 | PDF ISBN: 9781681732404
Hardcover ISBN:9781681732411
Copyright © 2018 | 106 Pages | Publication Date: December, 2017

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The number of heavy-duty construction vehicles is increasing significantly with growing urban development causing poor air quality and higher emissions. The electrification of construction vehicles is a way to mitigate the resulting air pollution and emissions. In this book, we consider tracked bulldozers, as an example, to demonstrate the approach and evaluate the benefits of the electrification of construction vehicles. The book is intended for senior undergraduate students, graduate students, and anyone with an interest in the electrification of heavy vehicles.

The book begins with an introduction to electrification of heavy-duty construction vehicles. The second chapter is focused on the terramechanics and interactions between track and blades with soil. The third chapter presents the architecture and modeling of a series hybrid bulldozer. Finally, the fourth chapter discusses energy management systems for electrified heavy construction vehicles.

Table of Contents

Preface
Acknowledgments
Introduction
Terramechanics of Heavy-duty Construction Vehicle and Interactions Between Track and Blades with Soil
Architecture and Modeling of Electrified Heavy-duty Construction Vehicles
Energy Management Systems for Electrified Heavy-duty Vehicles
References
Authors' Biographies

About the Author(s)

Hong Wang, University of Waterloo
Hong Wang is currently a Research Associate of Mechanical and Mechatronics Engineering with the University of Waterloo. She received her Ph.D. from the Beijing Institute of Technology in China in 2015. Her research focuses on the component sizing, modeling of hybrid powertrains, and energy management control strategies design for hybrid electric vehicles; intelligent control theory and application; and autonomous vehicles.

Yanjun Huang, University of Waterloo
Yanjun Huang is currently a Postdoctoral Fellow of Mechanical and Mechatronics Engineering with the University of Waterloo, where he received his Ph.D. in 2016. He received an M.S. degree in vehicle engineering from Jilin University, China in 2012. He is working on advanced control strategies and their real-time applications; vehicle dynamics and control; autonomous vehicle; Heating, Ventilating, and Air Conditioning (HVAC) system modeling and control; modeling of hybrid powertrains, components sizing, and energy management control strategies design through concurrent optimization and HIL testing; and variable valve actuation system for engines.

Amir Khajepour, University of Waterloo
Amir Khajepour is a professor in the department 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.

Chuan Hu, University of Waterloo
Chuan Hu received a B.E. degree in vehicle engineering from Tsinghua University, Beijing, China, in 2010; an M.E. degree in vehicle operation engineering from the China Academy of Railway Sciences, Beijing, China, in 2013; and a Ph.D. degree in Mechanical Engineering from McMaster University, Hamilton, Canada, in 2017. He is now a Postdoctoral Fellow with the Department of Systems Design Engineering, at the University of Waterloo, Waterloo, Canada. His research interests include vehicle system dynamics and control, motion control and estimations of autonomous vehicles, mechatronics, and robust and adaptive control.

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