AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications

AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications

Indexed In: SCOPUS
Release Date: February, 2023|Copyright: © 2023 |Pages: 288
DOI: 10.4018/978-1-6684-8816-4
ISBN13: 9781668488164|ISBN10: 1668488167|EISBN13: 9781668488188
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Description & Coverage
Description:

Artificial intelligence techniques applied in the power system sector make the prediction of renewable power source generation and demand more efficient and effective. Additionally, since renewable sources are intermittent in nature, it is necessary to predict and analyze the data of input sources. Hence, further study on the prediction and data analysis of renewable energy sources for sustainable development is required.

AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Deep Learning
  • Electric Car Batteries
  • Hybrid Energy Storage Systems
  • Renewable Energy
  • Renewable Energy Resources
  • Smart Solar Energy
  • Software Communication Interfaces
  • Solar Photovoltaic Emulator
  • Swappable Battery Data Management System
  • Wireless Power Transfer
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Editor/Author Biographies
S. Angalaeswari , Faculty, School of Electrical Engineering, (VIT), Chennai. She is having 18+years of teaching experience. Got gold medal in M.E degree from Anna University; got best project award for UG level project by “The National council of Engineering – New Delhi”. She has published more than 35 international journal and conference papers; she has published a book titled “Electric Circuit Analysis”, patent and book chapters. She has organized more than 100 events such as workshops, seminars, faculty development Programs and conferences. she has established MSME certified Center for industrial automation laboratory worth of Rs.35 lakhs in collaboration with CDCE automation Pvt. Ltd, Chennai and trained more than 30 students in this course. Done 5 consultancy projects for Daewon India Auto parts for Online Vision Inspection Poke yoke system with unlimited storage, Sekisui Dljm Molding Pvt Ltd for design a drilling Machine for 06M Rear Fender, TVS motors Hosur, Kovai Ortho and Tonglit Pvt. Ltd. Rresearch areas renewable energy sources; integration of distributed sources into the grid; controller design optimization techniques for the radial distributed systems etc.
T. Deepa earned her B.Tech. degree in electrical and electronics engineering from Manonmaniam Sundaranar University, Tirunelveli. She further pursued her education and obtained the M.Tech. degree in power systems and a Ph.D. degree in process control from the College of Engineering, Anna University, Guindy. Currently, she holds the position of Associate Professor at the School of Electrical Engineering, Vellore Institute of Technology, Chennai Campus. Her research interests encompass process control, control systems, and intelligent controllers.
L. Ashok Kumar's current research focuses on Integration of Renewable Energy Systems in the Smart Grid and Wearable Electronics. He has 3 years of industrial experience and 20 years of academic and research experiences. He has authored 11 books and published 153 technical papers in International and National Journals and presented 167 papers in National and International Conferences. He has completed 26 Government of India funded projects and there are currently 7 projects in progress.
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