Advertisement

Energy-Efficient Driving of Road Vehicles

Toward Cooperative, Connected, and Automated Mobility

  • Antonio Sciarretta
  • Ardalan Vahidi

Table of contents

  1. Front Matter
    Pages i-xix
  2. Antonio Sciarretta, Ardalan Vahidi
    Pages 1-31
  3. Antonio Sciarretta, Ardalan Vahidi
    Pages 33-62
  4. Antonio Sciarretta, Ardalan Vahidi
    Pages 63-82
  5. Antonio Sciarretta, Ardalan Vahidi
    Pages 83-110
  6. Antonio Sciarretta, Ardalan Vahidi
    Pages 111-129
  7. Antonio Sciarretta, Ardalan Vahidi
    Pages 131-178
  8. Antonio Sciarretta, Ardalan Vahidi
    Pages 179-214
  9. Antonio Sciarretta, Ardalan Vahidi
    Pages 215-239
  10. Antonio Sciarretta, Ardalan Vahidi
    Pages 241-273
  11. Back Matter
    Pages 275-294

About this book

Introduction

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.

Keywords

Connected and Automated Vehicles cooperative driving odometry Satellite Navigation Systems Road modeling Eco-routing Eco-driving wheel-to-distance efficiency optimal control Eco-routing Eco-coaching predictive EED Connected driving

Authors and affiliations

  • Antonio Sciarretta
    • 1
  • Ardalan Vahidi
    • 2
  1. 1.Rueil MalmaisonFrance
  2. 2.Department of Mechanical EngineeringClemson UniversityClemsonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-24127-8
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-24126-1
  • Online ISBN 978-3-030-24127-8
  • Series Print ISSN 2523-3440
  • Series Online ISSN 2523-3459
  • Buy this book on publisher's site