Image from Google Jackets

Energy-Efficient Driving of Road Vehicles : Toward Cooperative, Connected, and Automated Mobility / by Antonio Sciarretta, Ardalan Vahidi.

By: Sciarretta, Antonio, autor
Contributor(s): Vahidi, Ardalan, autor
Series: (Lecture Notes in Intelligent Transportation and Infrastructure, 2523-3440); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2020Edition: 1st ed. 2020.Description: 1 recurso en línea (XIX, 294 páginas) : 122 ilustraciones, 64 ilustraciones a color.ISBN: 9783030241278.Subject: Vehículos -- Consumo de combustibleOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Energy saving potentials of CAVs -- Fundamentals of vehicle modeling -- Perception and Control for Connected and Automated Vehicles -- Route and traffic description -- Energy-efficient route navigation (Eco-routing) -- Energy-efficient speed profiles (Eco-driving) -- Specific scenarios and applications -- Eco-driving Practical Implementation -- Detailed Case Studies -- Parametric optimization method for eco-driving of ICEVs -- Domain of Feasibility of the Analytical Optimal Speed Profiles for EVs.
Abstract: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TL151.6 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook06112227
Total holds: 0

Energy saving potentials of CAVs -- Fundamentals of vehicle modeling -- Perception and Control for Connected and Automated Vehicles -- Route and traffic description -- Energy-efficient route navigation (Eco-routing) -- Energy-efficient speed profiles (Eco-driving) -- Specific scenarios and applications -- Eco-driving Practical Implementation -- Detailed Case Studies -- Parametric optimization method for eco-driving of ICEVs -- Domain of Feasibility of the Analytical Optimal Speed Profiles for EVs.

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.

There are no comments on this title.

to post a comment.
Share