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Artificial intelligence-empowered modern electric vehicles in smart grid systems : fundamentals, technologies, and solution /

This book, edited by Aparna Kumari and Sudeep Tanwar, provides an in-depth exploration of artificial intelligence (AI)-empowered modern electric vehicles within smart grid systems. It covers fundamental technologies and solutions, focusing on the integration of AI techniques such as supervised and u...

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Bibliografske podrobnosti
Drugi avtorji: Kumari, Aparna, Tanwar, Sudeep
Format: eKnjiga
Jezik:angleščina
Izdano: [S.l.] : Elsevier, 2024.
Teme:
Electric vehicles.
Smart power grids.
Véhicules électriques.
Réseaux électriques intelligents.
electric vehicles.
Electronic books.
Online dostop:ScienceDirect
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Kazalo:
  • Front Cover
  • Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems
  • Copyright Page
  • Dedication
  • Contents
  • List of contributors
  • Preface
  • Acknowledgments
  • I. Introduction to artificial intelligence and electric vehicles in smart grid systems
  • 1 Introduction to artificial intelligence-empowered electric vehicles in smart grids
  • 1.1 Introduction
  • 1.1.1 Motivation
  • 1.1.2 Research contribution
  • 1.1.3 Organization of the chapter
  • 1.2 Background
  • 1.2.1 Overview of artificial intelligence
  • 1.2.2 Artificial intelligence with electric vehicles
  • 1.2.3 Related work
  • 1.3 Artificial intelligence techniques
  • 1.3.1 Expert system
  • 1.3.2 Supervised learning
  • 1.3.3 Unsupervised learning
  • 1.3.3.1 Unsupervised neural networks
  • 1.3.4 Reinforcement learning
  • 1.3.5 Ensemble methods
  • 1.4 Applications
  • 1.4.1 Applications of artificial intelligence in smart grid
  • 1.4.1.1 Analyzing the applications of artificial intelligence in the smart grid
  • 1.4.2 The autonomous electric vehicle and its utilization
  • 1.4.2.1 Specialized applications of autonomous vehicles/autonomous electric vehicles
  • 1.5 Challenges
  • 1.5.1 Obstacles in artificial intelligence-powered autonomous vehicles
  • 1.5.1.1 Challenges with sensors
  • 1.5.1.2 Complexity and ambiguity
  • 1.5.1.3 Challenges in fine-tuning complex models
  • 1.5.1.4 Dealing with the hardware problem
  • 1.5.2 The difficulties in implementing artificial intelligence in smart grids
  • 1.6 Case study
  • 1.6.1 Predicting and improving driving range
  • 1.6.2 Enhancing energy consumption and efficiency
  • 1.6.3 Predicting maintenance requirements
  • 1.6.4 Real-life illustration: Tesla's autopilot and artificial intelligence-enhanced battery management
  • 1.7 Case study: Analysis of artificial intelligence-driven optimization in managing electric vehicle charging within a smar...
  • 1.7.1 Objective
  • 1.7.2 Scenario description
  • 1.7.3 Methodology
  • 1.8 Results
  • 1.9 Conclusion
  • References
  • 2 Communication technologies for electric vehicles
  • 2.1 Introduction
  • 2.1.1 Communication technologies for electric vehicle: issues of existing system
  • 2.1.2 Need for electric vehicles
  • 2.1.3 Contribution
  • 2.1.4 Organization
  • 2.2 Literature review
  • 2.3 Artificial intelligence in electric vehicles
  • 2.3.1 Artificial intelligence in the integration of electric vehicle with the smart grid
  • 2.4 Communication needs at customer premises
  • 2.4.1 Electric vehicle supply equipment
  • 2.4.2 Communication standards for internet of electric vehicles
  • 2.4.3 Communication in electric vehicle charging coordination
  • 2.5 Smart grid communication technologies
  • 2.5.1 Wired communication
  • 2.5.2 Wireless communication
  • 2.5.3 Vehicle to grid
  • 2.5.4 Vehicle to vehicle
  • 2.5.5 Vehicle to infrastructure
  • 2.5.6 Challenges of smart grid communication

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