Dual Perspectives: Analysis of the Current State of Research into Vehicle-to-Grid (V2G) Charging Strategies_Vol. 4 No. 2 (JES 2026)_Journal of Engineering System (ISSN: 2959-0604)

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Dual Perspectives: Analysis of the Current State of Research into Vehicle-to-Grid (V2G) Charging Strategies

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DOI: https://doi.org/10.62517/jes.202602207

Author(s)

Yifeng Jin*

Affiliation(s)

Nanjing Tech University(NJTech), Nanjing, Jiangsu, China *Corresponding Author

Abstract

The large-scale, uncoordinated connection of electric vehicles (EVs) to the grid poses significant challenges to the power system.Vehicle-to-Grid (V2G) technology treats EVs as distributed energy sources via bidirectional energy converters, mitigating grid load fluctuations while facilitating renewable energy integration and enhancing energy utilisation efficiency.Throughout the process, EV users serve as key participants in vehicle-grid interaction technology, while the power grid emerges as the ultimate beneficiary. An irreconcilable conflict of interests exists between these two parties.How to schedule the full participation of EV users in V2G operations, maximising grid benefits without compromising EV user interests, represents both a current research focus and a significant challenge.This review aims to analyse the conflicting interests between grid-side benefits and user-side concerns in V2G charging strategies over the past three years (2022–2025), employing literature review and comparative analysis methodologies. It addresses a research gap in existing reviews by adopting this unique perspective.Summarising the mainstream application of deep learning as an auxiliary function in practical engineering V2G scheduling, with the aim of providing practical reference guidance for engineering decision-makers.The current situation indicates that a ‘renewable energy-electricity-transportation’ coupling system should be established in the future to achieve V2G cluster coordination. This will optimise multiple resources such as wind, solar, hydro, and storage, thereby further enhancing the power grid.Develop intelligent charging and discharging strategies for battery State of Health (SoH) throughout its entire lifecycle, dynamically adjusting depth of discharge, charging power, and service participation types to enhance user satisfaction and incentivise participation in dispatch.

Keywords

Vehicle-to-Grid Interaction; Charging Strategy; Control Strategy; Energy Management

References

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