Author Identifier (ORCID)
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.
Keywords
Electric vehicle networks, charging allocation, vehicle-to-infrastructure communications, electric vehicle platoons, heterogeneous traffic flows, charging scheduling optimization
Document Type
Journal Article
Date of Publication
12-1-2026
Volume
16
Issue
1
PubMed ID
41688633
Publication Title
Scientific Reports
Publisher
Nature
School
School of Engineering
Funders
Youth Science and Technology Fund of the Natural Science Foundation of Gansu Province (25JRRG014) / Scientific Research Program of Higher Education Institutions in Gansu Province (2026QB-092) / Doctoral Research Foundation of Hexi University (KYQD2025003) / Natural Science Foundation of Shanghai (24ZR1404600) / Explorers Program of Shanghai (24TS1410300) / Open Project Program of Shanghai Key Laboratory of Engineering Materials Application and Evaluation (SRIM-KFKT25-04)
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Comments
Qi, L., Wu, B., Li, S., Gong, Y., & Ni, W. (2026). Efficient charging scheduling through coordination of electric vehicle platoons and charging stations. Scientific Reports, 16. https://doi.org/10.1038/s41598-026-39376-9