Advanced Computational Methods In Energy Power Electric Vehicles And Their Integration
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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration
The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.
Data Science-Based Full-Lifespan Management of Lithium-Ion Battery
This open access book comprehensively consolidates studies in the rapidly emerging field of battery management. The primary focus is to overview the new and emerging data science technologies for full-lifespan management of Li-ion batteries, which are categorized into three groups, namely (i) battery manufacturing management, (ii) battery operation management, and (iii) battery reutilization management. The key challenges, future trends as well as promising data-science technologies to further improve this research field are discussed. As battery full-lifespan (manufacturing, operation, and reutilization) management is a hot research topic in both energy and AI fields and none specific book has focused on systematically describing this particular from a data science perspective before, this book can attract the attention of academics, scientists, engineers, and practitioners. It is useful as a reference book for students and graduates working in related fields. Specifically, the audience could not only get the basics of battery manufacturing, operation, and reutilization but also the information of related data-science technologies. The step-by-step guidance, comprehensive introduction, and case studies to the topic make it accessible to audiences of different levels, from graduates to experienced engineers.
Cyber-Security for Smart Grid Control
The book focuses on a very important area of Smart Grids - cyber security. It deals in particular with the tools and techniques for cyber security analysis of the Smart Grid control systems. This includes the standards and guidelines, detailed vulnerability assessment framework, attack detection strategies, and attack mitigation methods. The book is divided into three parts. The smart grid cyber-physical system is discussed in the first part. The second part introduces the attacks in the grid system and a vulnerability assessment framework followed by a tool that can be used to analyze the grid control systems using existing cyber security standards. In the third part, different forms of attack detection methods are discussed along with Python-based implementations for the same. The book also discusses attack mitigation methods with implementation. Detailed illustrations and tables are provided in each section. The book also includes case studies based on standard test systems thushelping students to implement the discussed methods. The case studies are based on MATLAB and Python implementations thus catering to a wide range of audiences. Outputs and screenshots of the tools and programs are included so students can compare their results and improve upon the discussed methods. The book will be useful to a wide variety of audiences such as students and researchers in Smart Grids, power system operators, and device manufacturers.