IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Integrating Intelligence and Trust: A Comprehensive Review of Artificial Intelligence and Blockchain Technologies in Electric Vehicles

Integrating Intelligence and Trust: A Comprehensive Review of Artificial Intelligence and Blockchain Technologies in Electric Vehicles
View Sample PDF
Author(s): Chandrika Dadhirao (Gandhi Institute of Technology and Management, India)and Ram Prasad Reddy Sadi (Anil Neerukonda Institute of Technology and Sciences, India)
Copyright: 2024
Pages: 21
Source title: A Sustainable Future with E-Mobility: Concepts, Challenges, and Implementations
Source Author(s)/Editor(s): Lakshmi D. (VIT Bhopal University, India), Neelu Nagpal (Maharaja Agrasen Institute of Technology, India), Neelam Kassarwani (Maharaja Agrasen Institute of Technology, India), Vishnu Varthanan G. (VIT Bhopal University, India)and Pierluigi Siano (University of Salerno, Italy)
DOI: 10.4018/979-8-3693-5247-2.ch014

Purchase


Abstract

With an emphasis on their transformational potential in solving the issues with EV charging infrastructure, the chapter investigates the integration of artificial intelligence and blockchain technology in the electric vehicle (EV) charging industry. This emphasizes the growing electric vehicle (EV) industry and the rising need for advanced and effective charging options. The significance of AI in predictive analysis, optimizing charging schedules, demand forecasting, and intelligent energy distribution is emphasized. AI-driven solutions improve the efficiency and reliability of EV charging stations. The promise of blockchain technology is examined in terms of its ability to manage payment processes, include renewable energy sources, and provide an immutable platform for energy trade. The possibility of combining AI and blockchain is examined to create sophisticated, secure, and user-friendly EV charging systems. The chpater showcases realistic implementations and case studies of AI and blockchain in EV charging systems, offering tangible insights into their viability and efficacy.

Related Content

Ibrahim Kamel Alshawabkeh. © 2025. 12 pages.
Mohammed El Hadi El Maknouzi, Iyad Mohammad Jadalhaq, Imad Eldin Abdulhay, Enas Mohammed Alqodsi. © 2025. 16 pages.
Imad El Din Ahmad Abdul Hay, Iyad Mohammad Jadalhaq, Mohammed El Hadi El Maknouzi, Enas Mohammed Alqodsi. © 2025. 16 pages.
Habiba Mohammed Al Shamisi. © 2025. 22 pages.
Abouelwafa Ibrahim. © 2025. 18 pages.
Abderrahim El Maslouhi. © 2025. 20 pages.
Driss Ed Daran, Malik Ziaudin, Riad Al Ajlani, Fatima Ezzohra Elhajraoui. © 2025. 20 pages.
Body Bottom