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1.武汉大学国家网络安全学院,湖北 武汉 430073
2.齐鲁工业大学(山东省科学院),山东省计算中心(国家超级计算济南中心),算力互联网与信息安全教育部重点实验室,山东 济南 250013
3.山东省计算机网络重点实验室,山东省基础科学研究中心(计算机科学),山东 济南 250013
4.广东工业大学自动化学院,广东 广州 510006
[ "张珂扬(2002‒ ),男,武汉大学国家网络安全学院在读,主要研究方向为电动汽车充电服务优化、智能交通系统、网络安全等。" ]
[ "刘朔晗(1995‒ ),男,博士,齐鲁工业大学(山东省科学院),山东省计算中心(国家超级计算济南中心),算力互联网与信息安全教育部重点实验室,山东省计算机网络重点实验室,山东省基础科学研究中心(计算机科学)研究员,主要研究方向为智能交通系统、电动汽车充电服务系统优化等。" ]
[ "曹越(1984‒ ),男,博士,武汉大学国家网络安全学院教授、博士生导师,主要研究方向为网络通信、网络安全、交通决策优化等。" ]
[ "林海(1976‒ ),男,博士,武汉大学国家网络安全学院副教授,主要研究方向为计算机网络、物联网、网络安全等。" ]
[ "康嘉文(1989‒ ),男,博士,广东工业大学自动化学院教授,主要研究方向为区块链、物联网、元宇宙等。" ]
[ "艾浩军(1972‒ ),男,博士,武汉大学国家网络安全学院副教授,主要研究方向为普适计算、计算机视觉、无线感知等。" ]
收稿日期:2024-10-16,
修回日期:2024-11-30,
纸质出版日期:2025-06-10
移动端阅览
张珂扬,刘朔晗,曹越等.面向智能交通场景的V2V充电服务优化研究综述[J].物联网学报,2025,09(02):51-69.
ZHANG Keyang,LIU Shuohan,CAO Yue,et al.A review on optimization of V2V charging services in intelligent transportation environment[J].Chinese Journal on Internet of Things,2025,09(02):51-69.
张珂扬,刘朔晗,曹越等.面向智能交通场景的V2V充电服务优化研究综述[J].物联网学报,2025,09(02):51-69. DOI: 10.11959/j.issn.2096-3750.2025.00450.
ZHANG Keyang,LIU Shuohan,CAO Yue,et al.A review on optimization of V2V charging services in intelligent transportation environment[J].Chinese Journal on Internet of Things,2025,09(02):51-69. DOI: 10.11959/j.issn.2096-3750.2025.00450.
近年来,电动汽车(EV
electric vehicle)行业蓬勃发展,而充电基础设施在布局、结构、运营等方面存在缺陷,成为阻碍市场扩张的重要原因。相关政策已将车联网(IoV
Internet of vehicles)、车网互动、分布式储能等充电设施与智慧能源领域的前沿科技创新列入发展要点。鉴于传统的电网-车(G2V
grid to vehicle)充电模式难以在有限的充电基础设施条件下满足大规模并行的EV充电需求,现有的能源消费结构亟须适应需求的动态变化。在此背景下,车-车(V2V
vehicle to vehicle)充电概念的提出缓解了G2V充电模式在时间、空间域的限制,从而充分发挥EV作为移动性分布式储能单元的潜能,使用户能源需求得到灵活补给,为智能交通场景中的充电服务优化提供崭新的思路,助力未来智能交通系统(ITS
intelligent transportation system)的发展。关注了以V2V充电为核心的优化方向,对近年来的相关研究进行了梳理。首先,针对智能交通场景中的电动汽车充电服务进行分类,并对V2V充电模式进行整体概述;其次,从技术侧重角度对各项研究中提出的V2V充电管理方案进行分类,详细阐述优化策略;最后,通过展望V2V充电模式的发展前景,就未来研究的开放主题进行探讨。
In recent years
the electric vehicle (EV) industry has seen vigorous growth. However
deficiencies in charging infrastructure layout
structure and operation have become obstacles to further market expansion. Thus
relevant policies have listed the Internet of vehicles (IoV)
vehicle-grid bidirectional interaction
distributed energy storage
and other charging facilities alongside cutting-edge technological innovations in the smart energy sector as key development priorities. Since traditional grid to vehicle (G2V) charging model struggles to meet the large-scale parallel charging demands of EVs under limited charging infrastructure conditions
the existing structure of energy consumption needs to adapt to the dynamic changes in demand. Against this backdrop
the concept of vehicle to vehicle (V2V) charging has been proposed to alleviate the limitations of G2V charging mode in terms of time and space domains
exploiting the potential of smart EVs as mobile distributed energy storage units. This facilitates flexible energy supply
offering a new approach to optimizing EV charging services and supporting the development of future intelligent transportation system (ITS). Focusing on the optimization direction centered around V2V charging
the relevant researches in recent years were reviewed. Firstly
the charging services in the intelligent transportation scenarios were classified
and an overview of the V2V charging mode was provided. Then
the proposed V2V charging management schemes from a technical emphasis perspective were categorized
and the optimization strategies were elaborated in detail. Finally
the development prospects of V2V charging in ITS were exlored
and open research topics for future studies were discussed.
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