Contributed book

Intelligent Control and Smart Energy Management : Renewable Resources and Transportation

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.

Collaborators :

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