4.8 Article

An Efficient Vehicle-to-Vehicle (V2V) Energy Sharing Framework

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 9, Issue 7, Pages 5315-5328

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3109010

Keywords

Vehicular ad hoc networks; Vehicle-to-grid; Energy management; Privacy; Data privacy; Roads; Internet of Things; Artificial intelligence (AI); crowdsourcing; electric vehicle (EV); Vehicle-to-Vehicle (V2V) energy sharing; V2V framework

Funding

  1. Khalifa University Competitive Internal Research Award [CIRA-2019-070, 8474000187]

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This article proposes a novel holistic energy management framework for efficient V2V energy sharing, aiming to address the lack of charging infrastructure for electric vehicles. The framework includes solutions for each stage and emphasizes maximizing cost-effectiveness, user satisfaction, and social welfare.
The proliferation of electric vehicles (EVs), owing to their advantages over internal combustion engine vehicles, has introduced many challenges, due to the lack of charging infrastructure that can handle such a large surge of EVs. Therefore, alternative feasible charging solutions, such as EV-to-Grid (V2G) and EV-to-EV (V2V) charging have gained prominence thanks to the bidirectional charger. However, there are several challenges hindering the adoption of V2V energy sharing solutions. The existing frameworks that detail the main aspects in energy management protocols emphasize solely on the EV integration with the grid, with the assumption of the grid availability and capability of supporting V2V energy sharing. In this article, a novel holistic energy management framework for an efficient V2V energy sharing is proposed. The proposed framework offers a complete overview of the different stages in the V2V charging problem and introduces possible solutions for each stage and its integration with other stages to form a comprehensive V2V solution, that is not only cost-effective but also maximizes user satisfaction and social welfare, while simultaneously fulfills the highest number of energy demands.

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