Intelligent control and smart energy management techniques combined with technological advances have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. Indeed, the control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques also referred to as autonomous control and energy management will become practically ubiquitous soon.
This volume aims to provide a state-of-the-art of this switchover as well as to provide some of the latest advancements in the field. The content presented in this volume includes methods, among others, based on neural control as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented in this volume are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs.
Chapter 1
Title : Predictive Energy Management for Fuel Cell Hybrid Electric Vehicles
Authors : Yang Zhou, Alexandre Ravey, Marie-Cécile Péra
Chapter 2
Title : Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level based on Battery Aging
Authors : J. A. Lòpez-Ibarra, H. Gaztañaga, J. Olmos, A. Saez-de-Ibarra and H. Camblong
Chapter 3
Title : Stochastic Optimization Methods for the Stochastic Storage Processes Control
Authors : P. Knopov, V. Norkin
Chapter 4
Title : Challenges for a Massive Integration of Flexible Resources in LV Networks
Authors : Pablo Arboleya, Lucía Suárez, Rubén Medina and Alberto Méndez
Chapter 5
Title : Electrical railway power supply systems for high-speed lines: from traditional grids to smart grids
Authors : Daniel Serrano-Jimenez, Sandra Castano-Solis, Eneko Unamuno, Jon Andoni Barrena
Chapter 6
Title : Energy-efficient scheduling of intra-terminal container transport
Authors : S. Mahdi Homayouni and Dalila B.M.M. Fontes
Chapter 7
Title : Learning-based Control for Hybrid Battery Management Systems
Authors : Jonas Mirwald, Ricardo de Castro, Jonathan Brembeck, Johannes Ultsch
Chapter 8
Title : Robust, Resilient, and Energy Efficient Satellite Formation Control
Authors : Sean Phillips, Christopher Petersen, and Rafael Fierro
Chapter 9
Title: A Methodology for the Assessment of Efficiency in Systems under Transient Conditions: Case Study for Hybrid Storage Systems in Elevators.
Authors: Jorge García, Cristina González-Morán, Pablo García, Pablo Arboleya.
Chapter 10
Title : A holistic approach to the energy-efficient smoothing of traffic via autonomous vehicles
Authors : Amaury Hayat, Xiaoqian Gong, Jonathan Lee, Sydney Truong, Sean McQuade, Nicolas Kardous, Alexander Keimer, Yiling You, Saleh Albeaik, Eugene Vinistky, Paige Arnold, Maria Laura Delle Monache, Alexandre Bayen, Benjamin Seibold, Jonathan Sprinkle, Dan Work, Benedetto Piccoli
Chapter 11
Title: Optimal energy management of electric vehicles supplied by battery and supercapacitors: A multi-objective approach
Authors : Bao Huy Nguyen, and João Pedro F. Trovão
Chapter 12
Title: Transient Stability and Protection Evaluation of Distribution Systems with Distributed Energy Resources
Authors: Guilherme S. Morais, Mariana Resener, Bibiana M. P. Ferraz, Ana P. Zanatta, Maicon J. S. Ramos and Younes Mohammadi
Chapter 13
Title : Fuzzy Logic Control for Motor Drive Performance Improvement in EV Applications
Authors : Minh C. Ta, Binh-Minh Nguyen, and Thanh Vo-Duy