Electric and Plug-in Hybrid Vehicle Networks: Optimization and Control, 1st Edition (Hardback) book cover

Electric and Plug-in Hybrid Vehicle Networks

Optimization and Control, 1st Edition

By Emanuele Crisostomi, Robert Shorten, Sonja Stüdli, Fabian Wirth

CRC Press

242 pages

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Hardback: 9781498744997
pub: 2017-11-15
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Description

This book explores the behavior of networks of electric and hybrid vehicles. The topics that are covered include: energy management issues for aggregates of plug-in vehicles; the design of sharing systems to support electro-mobility; context awareness in the operation of electric and hybrid vehicles, and the role that this plays in a Smart City context; and tools to test and design massively large-scale networks of such vehicles. The book also introduces new and interesting control problems that are becoming prevalent in the EV-PHEV's context, as well as identifying some open questions. A particular focus of the book is on the opportunities afforded by networked actuation possibilities in electric and hybrid vehicles, and the role that such actuation may play in air-quality and emissions management.

Reviews

"The book is a formidable source of sound models able to describe how near future EVs can be employed, in order to overcome their inherent gap with respect to current vehicles with internal combustion engines.

The book addresses by means of a comprehensive approach; energy management of EVs, referring to road network and the grid; sharing economy and EVs (on demand access, sharing charge points); and EVs and smart cities, with particular attention to emissions."

Giampiero Mastinu, Politecnico di Milano, Italy

Table of Contents

Preface

Acronyms

1 Introduction to Electric Vehicles

1.1 Introduction

1.2 Benefits and Challenges

1.3 Contribution of the Book

2 Disruption in the Automotive Industry

2.1 Introduction

2.2 Causes for Change

Section I Energy Management for Electric Vehicles (EVs)

3 Introduction to Energy Management Issues

3.1 Introduction

3.2 Energy Consumption in Road Networks

3.3 Distribution of Charging Facilities

3.4 Interaction with the Power Grid

4 Traffic Modeling for EVs

4.1 Introduction

4.2 Traffic Model

4.3 Sample Applications

4.4 Concluding Remarks

5 Routing Algorithms for EVs

5.1 Introduction

5.2 Examples of Selfish Routing for EVs

5.3 Collaborative Routing

5.4 Concluding Remarks

6 Balancing charging loads - A network perspective

6.1 Introduction

6.2 Stochastic Balancing for Charging

6.3 Basic Algorithm

6.4 Analysis

6.5 Simulations

6.6 Concluding Remarks

7 Charging EVs

7.1 Introduction

7.2 EV Charging Schemes

7.3 Specific Charging Algorithms for Plug-In EVs

7.4 Test Scenarios

7.5 Simulations

7.6 Concluding Remarks

8 Vehicle to Grid

8.1 Introduction

8.2 V2G and G2V Management of EVs

8.3 Unintended Consequences of V2G Operations

8.4 Concluding Remarks

Section II The Sharing Economy and EVs

9 Sharing Economy and Electric Vehicles

9.1 Introduction and Setting

9.2 Contributions

10 On-Demand Access and Shared Vehicles

10.1 Introduction

10.2 On Types of Range Anxiety

10.3 Problem Statement

10.4 Mathematical Models

10.5 Financial Calculations

10.6 Reduction of Fleet Emissions

10.7 Concluding Remarks

11 Sharing Electric Charge Points and Parking Spaces

11.1 Introduction

11.2 Setting: Parking Spaces

11.3 Dimensioning and Statistics

11.4 Efficient Allocation of Premium Spaces

11.5 Turning Private Charge Points into Public Ones

Section III EVs and Smart Cities

12 Context-Awareness of EVs in Smart Cities

12.1 Introduction

13 Using PHEVs to Regulate Aggregate Emissions (twinLIN)

13.1 Background

13.2 Cooperative Pollution Control

13.3 Simulations

14 Smart Procurement of Naturally Generated Energy (SPONGE)

14.1 Mathematical Formulation

14.2 Practical Implementation

14.3 Specific Use-Case: SPONGE for Plug-in Buses

14.4 Optimization Problem

14.5 Simulation Results

15 An Energy-Efficient Speed Advisory System for Electric Vehicles

15.1 Introduction

15.2 Power Consumption in EVs

15.3 Algorithm

15.4 Simulation

15.5 Concluding Remarks

Section IV Platform Analytics and Tools

16 E-Mobility Tools and Analytics

16.1 Introduction

17 A Large-Scale SUMO-Based Emulation Platform

17.1 Introduction

17.2 Prior work

17.3 Description of the Platform

17.4 Sample Application

17.5 Concluding Remarks

18 Scale-Free Distributed Optimization Tools for Smart City Applications

18.1 Introduction

18.2 The AIMD Algorithm

18.3 Optimal Resource Allocation

18.4 Scale-Free and Privacy Preserving Advantages of AIMD

18.5 Passivity

About the Authors

Emanuele Crisostomi received the Bachelor’s degree in computer science engineering, the Master’s degree in automatic control, and the Ph.D. degree in automatics, robotics, and bioengineering, from the University of Pisa, Italy, in 2002, 2005, and 2009, respectively. He is currently an Assistant Professor of electrical engineering with the Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa. His research interests include control and optimization of large-scale systems, with applications to smart grids and green mobility networks.

Robert Shorten is Professor of Control Engineering and Decision Science at University College Dublin. He has held positions in industry at Daimler-Benz Research and IBM Research (where he led the optimization and control activities at the Smart Cities Research Lab), as well as a number of positions in academia. He is a co-founder of the Hamilton Institute at Maynooth University, Ireland and has also held a Visiting Professorship at TU Berlin. Prof. Shorten’s research spans a number of areas. He has been active in computer networking, automotive research, collaborative mobility (including smart transportation and electric vehicles), as well as basic control theory and linear algebra. His main field of theoretical research has been the study of hybrid dynamical systems. He is currently the EUCA representative for Ireland, and has held a number of editorial roles. He is a co-author of the recently published book: AIMD Dynamics and Distributed Resource Allocation (Corless, King, Shorten, Wirth), SIAM 2016.

Sonja Stüdli received her Bachelor’s degree in electrical engineering and her Master’s degree in mechanical engineering from the ETH Zurich, Switzerland in 2008 and 2011, respectively. She received her Ph.D. degree in electrical engineering from the University of Newcastle, Australia, in 2016. She is currently working at the University of Newcastle as a research assistant in the School of Electrical Engineering and Computing. Her research interests include load management and smart grid operations, networked systems, including vehicle platooning, and distributed control.

Fabian Wirth received the Ph.D. degree in mathematics from the Institute of Dynamical Systems, University of Bremen, Bremen, Germany, in 1995. He has since held positions in Bremen, at the Centre Automatique et Systémes of Ecole des Mines Fontainebleau, France, and was Visiting Professor at the University of Frankfurt. From 2004 to 2006, he was with the Hamilton Institute at NUI Maynooth, Ireland. He is currently Professor of Dynamical Systems at the Faculty of Computer Science and Mathematics, University of Passau, Germany. Besides the modeling and analysis of communication networks his current interests include stability theory, switched systems, queueing theory and largescale systems with applications in communications and logistics.

About the Series

Automation and Control Engineering

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Subject Categories

BISAC Subject Codes/Headings:
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC008000
TECHNOLOGY & ENGINEERING / Electronics / General