Cover Image

Smart charging infrastructures /

Drive the future of sustainable mobility with this essential book, which offers a comprehensive, multi-disciplinary guide to the challenges and AI-driven innovations for developing smart, efficient electric vehicle charging solutions.

Bibliographic Details
Other Authors: Chitra, A. (Editor), Sultana, W. Razia (Editor), Indragandhi, V. (Editor)
Format: eBook
Language:English
Published: Beverly, MA : Scrivener Publishing, 2026.
Subjects:
Electric vehicles.
Renewable energy sources.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Series Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 Towards Sustainable Mobility: An Autonomous Electric Vehicle Charging Station Powered by Multifaceted Renewable Energy Sources
  • 1.1 Introduction
  • 1.2 Description of the Proposed Charging Station
  • 1.3 Design and Analysis of the System
  • 1.3.1 PV System
  • 1.3.2 Wind
  • 1.3.3 Fuel Cell
  • 1.3.4 Boost Converter with MPPT
  • 1.3.5 Buck Converter
  • 1.3.6 EV Charge Controller
  • 1.4 System Design Calculations
  • 1.4.1 PV System
  • 1.4.2 Wind Turbine
  • 1.4.3 Fuel Cell
  • 1.4.4 Battery Energy Storage System
  • 1.5 Result Analysis
  • 1.5.1 Case 1: PV BES Setup
  • 1.5.2 Case 2: PV BES Wind Setup
  • 1.5.3 Case 3: PV BES FC Setup
  • 1.5.4 Case 4: BES Wind Setup
  • 1.5.5 Case 5: BES FC Setup
  • 1.5.6 Case 6: BES Wind FC Setup
  • 1.5.7 Case 7: PV BES Wind FC Setup
  • 1.6 Conclusion and Future Outlook
  • References
  • Chapter 2 Innovating EV Charging Infrastructure: A Hybrid Energy Storage System Approach for Solar Powered-Based DC Microgrid
  • 2.1 Introduction
  • 2.2 System Architecture
  • 2.2.1 Modeling of PV System
  • 2.2.2 Battery Storage System
  • 2.2.3 Supercapacitor
  • 2.3 Power Management System
  • 2.4 Results and Discussion
  • 2.5 Conclusion
  • References
  • Chapter 3 Design of Intermediate Charging Facilitated Port Configuration of Charging Station with Consideration of Reliability and Cost
  • 3.1 Introduction
  • 3.2 Methodology for Estimating the Reliability Probability of Charging Ports
  • 3.3 Introduced Pattern Identical and Non-Identical Configuration
  • 3.4 Results and Discussions
  • 3.4.1 Identical Port Configuration
  • 3.5 Conclusion
  • References
  • Chapter 4 AI-Based Smart Charging Infrastructures: Revolutionizing Electric Vehicle Integration
  • 4.1 Introduction
  • 4.2 Fundamentals of Smart Charging
  • 4.2.1 Benefits of Smart-Charging Infrastructure
  • 4.2.2 Deployment Factors for Smart Charging
  • 4.3 Role of AI in Smart Charging
  • 4.3.1 Understanding Artificial Intelligence in Charging Infrastructures
  • 4.3.2 Machine Learning Algorithms for Predictive Charging
  • 4.3.2.1 Benefits of ML-Powered Predictive Charging
  • 4.3.3 Real-Time Data Analytics and Optimization Techniques
  • 4.3.3.1 Real-Time Data Analytics
  • 4.3.3.2 Optimization Techniques
  • 4.3.4 AI-Based Demand Response Management
  • 4.3.4.1 Understanding Demand Response Management
  • 4.3.4.2 Benefits of AI-Based DRM for Charging Stations
  • 4.4 Components of AI-Based Smart Charging Systems
  • 4.4.1 Sensors and IoT Devices for Data Collection
  • 4.4.2 Cloud Computing and Edge Computing Platforms
  • 4.4.2.1 Cloud Computing Platforms
  • 4.4.2.2 Edge Computing Platforms
  • 4.4.3 Communication Protocols and Network Infrastructure
  • 4.4.4 Control Algorithms for Dynamic Charging Control
  • 4.5 Challenges and Future Directions