Smart Electric Vehicle Charging in the Era of Internet of Vehicles, Emerging Trends, and Open Issues

Bhaskar P. Rimal, Cuiyu Kong, Bikrant Poudel, Yong Wang and Pratima Shahi
Additional contact information
Bhaskar P. Rimal: The Beacom College of Computer and Cyber Sciences, Dakota State University, Madison, SD 57042, USA
Cuiyu Kong: Department of Computer Information Systems, Highline College, Des Moines, WA 98198, USA
Bikrant Poudel: Department of Electrical and Computer Engineering, University of New Orleans, New Orleans, LA 70148, USA
Yong Wang: The Beacom College of Computer and Cyber Sciences, Dakota State University, Madison, SD 57042, USA
Pratima Shahi: Institute of Engineering, Tribhuvan University, Kathmandu 44613, Nepal

Energies, 2022, vol. 15, issue 5, 1-24

Abstract: The Internet of Vehicles (IoV), where people, fleets of electric vehicles (EVs), utility, power grids, distributed renewable energy, and communications and computing infrastructures are connected, has emerged as the next big leap in smart grids and city sectors for a sustainable society. Meanwhile, decentralized and complex grid edge faces many challenges for planning, operation, and management of power systems. Therefore, providing a reliable communications infrastructure is vital. The fourth industrial revolution, that is, a cyber-physical system in conjunction with the Internet of Things (IoT) and coexistence of edge (fog) and cloud computing brings new ways of dealing with such challenges and helps maximize the benefits of power grids. From this perspective, as a use case of IoV, we present a cloud-based EV charging framework to tackle issues of high demand in charging stations during peak hours. A price incentive scheme and another scheme, electricity supply expansion, are presented and compared with the baseline. The results demonstrate that the proposed hierarchical models improve the system performance and the quality of service (QoS) for EV customers. The proposed methods can efficiently assist system operators in managing the system design and grid stability. Further, to shed light on emerging technologies for smart and connected EVs, we elaborate on seven major trends: decentralized energy trading based on blockchain and distributed ledger technology, behavioral science and behavioral economics, artificial and computational intelligence and its applications, digital twins of IoV, software-defined IoVs, and intelligent EV charging with information-centric networking, and parking lot microgrids and EV-based virtual storage. We have also discussed some of the potential research issues in IoV to further study IoV. The integration of communications, modern power system management, EV control management, and computing technologies for IoV are crucial for grid stability and large-scale EV charging networks.

Keywords: blockchain; cloud computing; distributed renewable energy; electric vehicles; edge computing; Internet of Vehicles; machine learning; smart grids; transactive energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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