Electric and Plug-in Hybrid Vehicle Networks

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.

"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

• Introduction to Electric Vehicles. Disruption in the Automotive Industry. Section I Energy Management for Electric Vehicles (EVs). Introduction to Energy Management Issues. Traffic Modeling for EVs. Routing Algorithms for EVs. Balancing charging loads. Charging EVs. Vehicle to Grid. Section II The Sharing Economy and EVs. Sharing Economy and Electric Vehicles. On-Demand Access and Shared Vehicles. Sharing Electric Charge Points and Parking Spaces. Section III EVs and Smart Cities. Context-Awareness of EVs in Smart Cities. Using PHEVs to Regulate Aggregate Emissions (twinLIN). Smart Procurement of Naturally Generated Energy (SPONGE). An Energy-Efficient Speed Advisory System for Electric Vehicles. Section IV Platform Analytics and Tools. E-Mobility Tools and Analytics. A Large-Scale SUMO-Based Emulation Platform. Scale-Free Distributed Optimization Tools for Smart City Applications.