Efficient charging scheduling through coordination of electric vehicle platoons and charging stations

This paper focuses on charging allocation in a vehicle-to-infrastructure (V2I) communications-enabled electric vehicle (EV) network with heterogeneous traffic flows, where manned EVs and EV platoons coexist, and each EV platoon may have a different size and travel speed. In such a network, hybrid traffic flows pose significant challenges since platoons with multiple EVs can easily cause severe station overloading and increase the total time cost for charging service, particularly when large platoons occur. To tackle this issue, a centralized approach is proposed to plan charging allocation and optimize the velocities of manned EVs and EV platoons with the assistance of V2I communications. Moreover, a heuristic solution is developed to reduce the computational complexity. The results confirm the efficiency of the proposed solutions in mitigating overloading and reducing the total time cost in EV networks with hybrid traffic flows.

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Publication Details

Journal
Scientific Reports
Published
2026-02-13
DOI
https://doi.org/10.1038/s41598-026-39376-9
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00

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article

Efficient charging scheduling through coordination of electric vehicle platoons and charging stations

Yi Gong, Bochun Wu, Wei Ni, Shoubo Li et al.
Scientific Reports
Electric Vehicles and Infrastructure
article

Efficient charging scheduling through coordination of electric vehicle platoons and charging stations

Yi Gong, Bochun Wu, Wei Ni, Shoubo Li, Liwan Qi
article en

Abstract

This paper focuses on charging allocation in a vehicle-to-infrastructure (V2I) communications-enabled electric vehicle (EV) network with heterogeneous traffic flows, where manned EVs and EV platoons coexist, and each EV platoon may have a different size and travel speed. In such a network, hybrid traffic flows pose significant challenges since platoons with multiple EVs can easily cause severe station overloading and increase the total time cost for charging service, particularly when large platoons occur. To tackle this issue, a centralized approach is proposed to plan charging allocation and optimize the velocities of manned EVs and EV platoons with the assistance of V2I communications. Moreover, a heuristic solution is developed to reduce the computational complexity. The results confirm the efficiency of the proposed solutions in mitigating overloading and reducing the total time cost in EV networks with hybrid traffic flows.

Scientific ReportsVol. 16(1)
Edith Cowan University (AU), Fudan University (CN), Hexi University (CN)
Natural Science Foundation of Shanghai, Hexi University, Natural Science Foundation of Gansu Province
Industry, innovation and infrastructure
Openalex Percentile: Top 56%
Electric Vehicles and Infrastructure
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