As public attention on energy conservation and emission reduction has increased in recent years, engine idling has become a growing concern due to its low efficiency and high emissions. Service vehicles equipped with auxiliary systems, such as refrigeration, air conditioning, PCs, and electronics, usually have to idle to power them. The number of service vehicles (e.g. public-school-tour buses, delivery-refrigerator trucks, police cars, ambulances, armed vehicles, firefighter vehicles) is increasing significantly with tremendous social development. Therefore, introducing new anti-idling solutions is inevitably vital for controlling energy unsustainability and poor air quality. There are a few books about the idling disadvantages and anti-idling solutions. Most of them are more concerned with different anti-idling technologies and their effects on the society rather than elaborating an anti-idling system design considering different applications and limitations. There is still much room to improve existing anti-idling technologies and products.

In this book, we took a service vehicle, refrigerator truck, as an example to demonstrate the whole process of designing, optimizing, controlling, and developing a smart charging system for the anti-idling purpose. The proposed system cannot only electrify the auxiliary systems to achieve anti-idling, but also utilize the concepts of regenerative braking and optimal charging strategy to arrive at an optimum solution. Necessary tools, algorithms, and methods are illustrated and the benefits of the optimal anti-idling solution are evaluated.

Autorentext

Yechen Qin is currently a Postdoctoral Fellow of mechanical engineering at the Beijing Institute of Technology, where he received his B. Eng and Ph.D. in 2010 and 2016, respectively. From 2013-2014, he studied at Texas A&M University as a visiting Ph.D. student. From 2017-2018, he studied at the University of Waterloo as a visiting scholar. His research interests include vehicle dynamics control, road estimation, and in-wheel motor vibration control.Hong Wang is currently a research associate of Mechanical and Mechatronics Engineering at the University of Waterloo. She received her Ph.D. from the Beijing Institute of Technology in China in 2015. Her research focuses on 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 is a Postdoctoral Fellow at the Department of Mechanical and Mechatronics Engineering at the University of Waterloo, where he received his Ph.D. in 2016. His research interest is primarily focused on the vehicle holistic control in terms of safety, energy-saving, and intelligence, including vehicle dynamics and control, HEV/EV optimization and control,motion planning and control of connected and autonomous vehicles, and human-machine cooperative driving. He has published several books and over 50 papers in journals and conferences. He currently serves as an associate editor and editorial board member of IET Intelligent Transport System, SAE International Journal of Commercial Vehicles, International Journal of Vehicle Information and Communications, Automotive Innovation, AIME, etc.Xiaolin Tang received a B.S. in mechanics engineering and an M.S. in vehicle engineering from Chongqing University, China, in 2006 and 2009, respectively. He received a Ph.D. in mechanical engineering from Shanghai Jiao Tong University, China, in 2015. He is currently an Associate Professor at theState Key Laboratory of Mechanical Transmissions and at the Department of Automotive Engineering, Chongqing University,Chongqing, China. Heis also acommitteemanof Technical Committee on Vehicle Control and Intelligence of Chinese Association of Automation (CAA). He has led and has been involved in more than 10 research projects, such as National Natural Science Foundation of China, and has published more than 20 papers. His research focuses on Hybrid Electric Vehicles (HEVs), vehicle dynamics, noise and vibration, and transmission control.

Inhalt
Introduction.- Powertrain Modeling and Component Sizing for the Smart Charger.- Driving and Service Cycle Estimation.- Power Management Controller Design for the Smart Charger.- Conclusions.- References.- Authors' Biographies.