Springer Energy-Efficient Driving of Road Vehicles: Toward Cooperative, Connected, and Automated Mobility (Lecture Notes in Intelligent Transportation and Infrastructure)

This book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics. Review “The book’s structure is very adequate. The way it is written is understandable for beginners, and the concepts are illustrated with suitable examples. Many theoretical concepts are formally formulated and explained with sufficient concreteness, making it possible to follow the book without having to use supplementary texts. … It’s an adequate text for a course on efficient energy mobility with support in robotics systems.” (Jose Carlos Moreno Ubeda, Computing Reviews, November 3, 2020) From the Back Cover This book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics. About the Author Antonio Sciarretta is a professional researcher in mechanical engineering. Since 2006 he has been working at IFPEN in Rueil-Malmaison, France. He also serves as lecturer at ETH Zürich, Switzerland. His research interests focus on thermal machines and control of powertrains, and more spefically on hybrid vehicles.  He wrote several books, including the textbook "Vehicle Propulsion Systems" (978-3-642-35912-5) with Lino Guzzella. Ardalan Vahidi  is  professor at the Department of Mechanical Engioneering of Clemson University, SC, USA. He joined the Department in 2005 after the completion of his Ph.D. at University of Michigan. His research interests focus