The primary purpose of this book is to capture the state-of-the-art in smart microgrid management with EV integration and their applications. It also aims to identify potential research directions and technologies that will facilitate insight generation in various domains from smart home, industry, business, and consumer applications.
The primary purpose of this book is to capture the state-of-the-art in smart microgrid management with EV integration and their applications. It also aims to identify potential research directions and technologies that will facilitate insight generation in various domains from smart home, industry, business, and consumer applications.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Mohammad Saad Alam is currently working as an associate professor, department of electrical engineering, Aligarh Muslim University. He is also leading the industrial collaborative inter-disciplinary research in electric mobility and the Coordinator of the Centre of Advanced Research in Electrified Transportation. Mahesh Krishnamurthy is a Professor of Electrical Engineering and the director of the Electric Drives and Energy Conversion Lab and Grainger Power Electronics and Motor Drives Laboratory at the Illinois Institute of Technology.
Inhaltsangabe
1. Trends in Electric Vehicles, Distribution Systems, EV Charging Infrastructure, and Microgrids. 2. Fog Computing for Smart Grids: Challenges and Solutions. 3. Opportunities and Challenges in Electric Vehicle Fleet Charging Management. 4 Challenges to build a friendly EV ecosystem: Brazilian benchmark. 5 Coordinated Operation of Electric Vehicle Charging and Renewable Power Generation Integrated in a Microgrid. 6. Energy Storage Sizing for Plug-in Electric Vehicle Charging Stations. 7. Innovative Methods for State of the Charge Estimation for EV Battery Management Systems. 8. High Voltage Battery lifecycle analysis with re-purposing in Energy storage systems (ESS) for Electric Vehicles. 9. Charging Infrastructure for Electric Taxi Fleets. 10. Machine Learning-based Day Ahead Market Energy usage bidding for Smart Microgrids. 11. Smart Microgrid Integrated EV Wireless Charging Station. 12. Shielding Techniques of IPT System for Electric Vehicles Stationary Charging. 13. Economic Placement of EV Charging Stations within Urban Areas. 14. Environmental Impacts of the EV Batteries Recycling and Disposal. 15. Design and Operation of a low-cost EV Integrated Microgrid for Developing Countries: A case study.
1. Trends in Electric Vehicles, Distribution Systems, EV Charging Infrastructure, and Microgrids. 2. Fog Computing for Smart Grids: Challenges and Solutions. 3. Opportunities and Challenges in Electric Vehicle Fleet Charging Management. 4 Challenges to build a friendly EV ecosystem: Brazilian benchmark. 5 Coordinated Operation of Electric Vehicle Charging and Renewable Power Generation Integrated in a Microgrid. 6. Energy Storage Sizing for Plug-in Electric Vehicle Charging Stations. 7. Innovative Methods for State of the Charge Estimation for EV Battery Management Systems. 8. High Voltage Battery lifecycle analysis with re-purposing in Energy storage systems (ESS) for Electric Vehicles. 9. Charging Infrastructure for Electric Taxi Fleets. 10. Machine Learning-based Day Ahead Market Energy usage bidding for Smart Microgrids. 11. Smart Microgrid Integrated EV Wireless Charging Station. 12. Shielding Techniques of IPT System for Electric Vehicles Stationary Charging. 13. Economic Placement of EV Charging Stations within Urban Areas. 14. Environmental Impacts of the EV Batteries Recycling and Disposal. 15. Design and Operation of a low-cost EV Integrated Microgrid for Developing Countries: A case study.
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