高速公路充电设施技术规划综述:场景需求、技术路线与配置策略

徐士翠, 黄超, 孙鹏翔, 郑少灿, 胡正宇, 李天宇, 冯健茜, 谢秉磊

交通运输研究 ›› 2026, Vol. 12 ›› Issue (3) : 109-124.

交通运输研究 ›› 2026, Vol. 12 ›› Issue (3) : 109-124. DOI: 10.16503/j.cnki.2095-9931.2026.03.009
设施布局与网络规划

高速公路充电设施技术规划综述:场景需求、技术路线与配置策略

作者信息 +

A Review of Expressway Charging Infrastructure Technology Planning: Scenario Demand, Technology Pathways, and Configuration Strategies

  • XU Shicui 1 ,  
  • HUANG Chao 1 ,  
  • SUN Pengxiang 1 ,  
  • ZHENG Shaocan 1 ,  
  • HU Zhengyu 1 ,  
  • LI Tianyu 2 ,  
  • FENG Jianxi 2 ,  
  • XIE Binglei 2, *
Author information +
文章历史 +

摘要

高速公路充电设施正面临从设施覆盖不足向峰时服务能力不足、能源系统约束与多车型需求分化并存的矛盾转变。本文构建“场景需求—技术路线—配置策略”的研究框架,系统梳理主干乘用车走廊、干线重卡走廊、枢纽/城市出入口服务区、旅游支线和应急保障等典型场景的充电需求差异及其演化特征;对比了超快充、换电、移动补能、光储充一体化和双侧服务区互联微电网等技术路线;归纳不同技术在服务对象、工程特性、适用约束、规划目标、决策变量和关键约束方面的建模差异。在此基础上,从需求侧分化、技术适配差异与系统约束等3个维度,探讨高速公路充电设施由单一容量扩容转向多技术组合配置的规划逻辑,并进一步归纳不同情景下的技术配置策略。既有研究显示,单一固定设施扩容策略难以应对高速场景的不确定性与非平稳性,未来规划需转向以基础服务能力、峰时弹性保障、站端能源协同与示范技术储备为框架的多技术组合配置。本文研究成果可为高速公路充电设施的技术选型、建设配置与工程示范提供参考。

Abstract

Expressway charging infrastructure planning is facing a transition from insufficient facility coverage to a compound challenge involving inadequate peak service capacity, energy system constraints, and differentiated multi-vehicle charging demands. This paper develops a review framework for "scenario demand—technology pathways—configuration strategies". It first examines the differences and evolution of charging demand in typical highway scenarios, including mainline passenger-car corridors, heavy-duty truck corridors, hub service areas, tourist branch routes, and emergency support scenarios. It compares multiple technology pathways, including ultra-fast charging, battery swapping, mobile charging, integrated photovoltaic-storage-charging systems, and interconnected microgrids between paired service areas, and summarizes their modeling differences in terms of service objects, engineering characteristics, applicability constraints, planning objectives, decision variables, and key constraints. On this basis, the paper discusses the planning logic of shifting expressway charging infrastructure from single-capacity expansion toward multi-technology configuration, based on three dimensions: demand-side differentiation, technology adaptability differences, and system constraints. It further summarizes technology configuration strategies under different scenarios. The review indicates that a single fixed-infrastructure expansion strategy is insufficient to address the uncertainty and non-stationarity of expressway charging demand. Future planning should move toward a multi-technology configuration framework that balances basic service capacity, peak-time flexibility, station-side energy coordination, and pilot-oriented technology reserves. This study provides a reference for technology selection, construction configuration, and engineering demonstration of expressway charging infrastructure.

关键词

高速公路 / 电动汽车 / 充电设施 / 技术路线 / 前瞻规划

Key words

expressway / electric vehicle / charging infrastructure / technology pathway / prospective planning

引用本文

导出引用
徐士翠, 黄超, 孙鹏翔, . 高速公路充电设施技术规划综述:场景需求、技术路线与配置策略[J]. 交通运输研究. 2026, 12(3): 109-124 https://doi.org/10.16503/j.cnki.2095-9931.2026.03.009
XU Shicui, HUANG Chao, SUN Pengxiang, et al. A Review of Expressway Charging Infrastructure Technology Planning: Scenario Demand, Technology Pathways, and Configuration Strategies[J]. Transport Research. 2026, 12(3): 109-124 https://doi.org/10.16503/j.cnki.2095-9931.2026.03.009
中图分类号: U491   

参考文献

[1]
UNTERLUGGAUER T, RICH J, ANDERSEN P B, et al. Electric vehicle charging infrastructure planning for integrated transportation and power distribution networks: a review[J]. eTransportation, 2022, 12: 100163. DOI: 10.1016/j.etran.2022.100163.
[2]
BARMAN P, DUTTA L. Charging infrastructure planning for transportation electrification in India: a review[J]. Renewable and Sustainable Energy Reviews, 2024, 192: 114265. DOI: 10.1016/j.rser.2023.114265.
[3]
王震坡, 张瑾, 刘鹏, 等. 电动汽车充电站规划研究综述[J]. 中国公路学报, 2022, 35(12):230-252.
[4]
叶宇剑, 吴奕之, 胡健雄, 等. 城市电力-交通耦合系统的联合推演与协同优化:研究综述、挑战与展望[J]. 中国电机工程学报, 2025, 45(11):4144-4162.
[5]
王立明, 崔优凯, 俞洁, 等. 公路交通与能源基础设施融合发展模式及建议[J]. 交通运输研究, 2023, 9(3):123-131.
[6]
张丽, 林垚, 孙逸帆, 等. 基于专利计量的公路领域太阳能光伏应用技术发展分析[J]. 交通运输研究, 2022, 8(6):108-119.
[7]
王德荣, 高月娥. “十五五”时期我国交通运输发展面临的内外部环境和发展策略[J]. 交通运输研究, 2024, 10(6):2-12.
[8]
SUN Y, LIU M. A study on the path planning and optimization of carbon peaking and carbon neutrality in the highway service area[J]. Building and Environment, 2025, 267: 112187. DOI: 10.1016/j.buildenv.2024.112187.
[9]
杨蒙, 陈玥, 徐潇源, 等. 电力-交通融合研究综述:模型、算法与关键问题[J]. 电力系统自动化, 2025, 49(9):1-16.
[10]
马骏驰, 张源, 段宗涛, 等. 考虑充电需求的电动汽车行为策略研究综述[J]. 交通运输工程学报, 2024, 24(6):66-79.
[11]
袁洪涛, 徐潇源, 严正, 等. 电动汽车集中充换电设施规划和优化运行研究综述[J]. 电力系统保护与控制, 2024, 52(19):157-174.
[12]
GHANBARI MOTLAGH S, LI L. A review on electric vehicle charging station planning: infrastructure placement, sizing, upgrades, and uncertainties[J]. Journal of Energy Storage, 2026, 141: 119325. DOI: 10.1016/j.est.2025.119325.
[13]
ERDOĞAN S, ÇAPAR İ, ÇAPAR İ, et al. Establishing a statewide electric vehicle charging station network in Maryland: a corridor-based station location problem[J]. Socio-Economic Planning Sciences, 2022, 79: 101127. DOI: 10.1016/j.seps.2021.101127.
[14]
ANADÓN MARTÍNEZ V, SUMPER A, SALDAÑA-GONZALEZ A, et al. Planning fast-charging stations along highways using probability distribution functions and traffic data[J]. Sustainable Energy Technologies and Assessments, 2025, 82: 104547. DOI: 10.1016/j.seta.2025.104547.
[15]
POURVAZIRI H, SARHADI H, AZAD N, et al. Planning of electric vehicle charging stations: an integrated deep learning and queueing theory approach[J]. Transportation Research Part E: Logistics and Transportation Review, 2024, 186: 103568. DOI: 10.1016/j.tre.2024.103568.
[16]
李振坤, 肖天宇, 宋治儒, 等. 基于节假日因素影响的高速服务区充电负荷建模与充电桩优化规划[J]. 电力建设, 2025, 46(12):57-69.
[17]
HANIG L, LEDNA C, NOCK D, et al. Finding gaps in the national electric vehicle charging station coverage of the United States[J]. Nature Communications, 2025, 16(1): 561. DOI: 10.1038/s41467-024-55696-8.
[18]
KAVIANIPOUR M, FAKHRMOOSAVI F, SINGH H, et al. Electric vehicle fast charging infrastructure planning in urban networks considering daily travel and charging behavior[J]. Transportation Research Part D: Transport and Environment, 2021, 93: 102769. DOI: 10.1016/j.trd.2021.102769.
[19]
REHMAN W, BO R, MEHDIPOURPICHA H, et al. Sizing battery energy storage and PV system in an extreme fast charging station considering uncertainties and battery degradation[J]. Applied Energy, 2022, 313: 118745. DOI: 10.1016/j.apenergy.2022.118745.
[20]
XU X, XU X, LI S, et al. Simulation and optimization of hybrid renewable energy system to achieve a net-zero and flexible-interconnected service area for highways[J]. Energy for Sustainable Development, 2025, 87: 101740. DOI: 10.1016/j.esd.2025.101740.
[21]
LIU X, HU J, LI R, et al. Optimal capacity planning for integrated charging microgrids along highways considering seasonal fluctuation and risk management[J]. IEEE Transactions on Smart Grid, 2025, 16(5): 3772-3785.
[22]
HAO X, CAO M, LI L, et al. A two-layer programming for highway heavy-duty truck battery swapping stations[J]. Energy, 2025, 321: 135461. DOI: 10.1016/j.energy.2025.135461.
[23]
VIDOTTE PLAZA C, ARSLAN O, LAPORTE G, et al. The charger location problem with routing and driver working hours for long-haul electric heavy-duty trucks[J]. Transportation Research Part C: Emerging Technologies, 2026, 186: 105598. DOI: 10.1016/j.trc.2026.105598.
[24]
World Road Association (PIARC). Electric road systems-a route to net zero[R]. Paris: PIARC, 2023.
[25]
LIAO X, SAEEDNIA M, NOGAL M, et al. Scaling up dynamic charging infrastructure: significant battery cost savings[J]. Transportation Research Part D: Transport and Environment, 2024, 129: 104128. DOI: 10.1016/j.trd.2024.104128.
[26]
WANG X, GONG Y, HUANG T, et al. Long-distance charge-route planning for electric vehicles: a multi-solution approach[J]. IEEE Transactions on Transportation Electrification, 2025, 11(4): 9660-9672.
[27]
葛显龙, 王博, 杨育树, 等. 考虑出行特征的电动汽车协同充电调度优化研究[J]. 交通运输系统工程与信息, 2024, 24(1):240-252.
[28]
BRAGIN M, YE Z, YU N. Toward efficient transportation electrification of heavy-duty trucks: joint scheduling of truck routing and charging[J]. Transportation Research Part C: Emerging Technologies, 2024, 160: 104494. DOI: 10.1016/j.trc.2024.104494.
[29]
WU H. A survey of battery swapping stations for electric vehicles: operation modes and decision scenarios[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8): 10163-10185.
[30]
HE Y, LIU Z, SONG Z. Integrated charging infrastructure planning and charging scheduling for battery electric bus systems[J]. Transportation Research Part D: Transport and Environment, 2022, 111: 103437. DOI: 10.1016/j.trd.2022.103437.
[31]
姚恩建, 王鑫, 刘莎莎, 等. 考虑机会充电与行程时间可靠性的区域多车型电动公交调度优化[J]. 交通运输系统工程与信息, 2024, 24(4):151-165.
[32]
王玉生, 罗欣欣, 单香琦. 电动公交车队置换与充电设施布局协同优化[J]. 中国公路学报, 2024, 37(4):72-83.
[33]
WU J, POWELL S, XU Y, et al. Planning charging stations for 2050 to support flexible electric vehicle demand considering individual mobility patterns[J]. Cell Reports Sustainability, 2024, 1(1): 100006. DOI: 10.1016/j.crsus.2023.100006.
[34]
YU Q, ZHAO P, LI J, et al. China′s urban EV ultra-fast charging distorts regulated price signals and elevates risk to grid stability[J]. Nature Communications, 2025, 16(1): 8451. DOI: 10.1038/s41467-025-63199-3.
[35]
WANG P, YUAN J. Adaptive multi-stage planning of electric vehicle charging infrastructure with photovoltaic and energy storage systems: a transporta-tion-aware optimization approach[J]. Applied Energy, 2026, 410: 127517. DOI: 10.1016/j.apenergy.2026.127517.
[36]
ZHANG Y, YIN Z, XIAO H, et al. Coordinated planning of EV charging stations and mobile energy storage vehicles in highways with traffic flow modeling[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(12): 21572-21584.
[37]
孙乾皓, 张耀, 张贝西, 等. 含电动汽车快充站的交直流混联配电网多阶段随机扩展规划[J]. 电网技术, 2026, 50(2):807-816.
[38]
LI T, ZHAO A, WANG Y, et al. Integrating solar-powered electric vehicles into sustainable energy systems[J]. Nature Reviews Electrical Engineering, 2025, 2(7): 467-479.
[39]
胡力群, 黄虹鑫, 沙爱民. 中国高速公路路域内的光伏发电潜力评估[J]. 交通运输工程学报, 2024, 24(4):1-13.
[40]
师瑞峰, 唐可意, 高毓钦, 等. 面向多用能需求场景的公路交通自洽微网系统规划方法[J]. 交通运输工程学报, 2024, 24(4):31-42.
[41]
张力, 刘海洋, 段德萱, 等. 交能融合背景下的高速公路光储充一体化发展路线展望[J]. 南方能源建设, 2024, 11(5):86-94.
[42]
刘小寒, 程颖, 王聘玺, 等. “光储充”一体化公交充电设施两阶段鲁棒选址方法[J]. 中国公路学报, 2024, 37(4):14-23.
[43]
XIA M, XIAN Y, CHEN Q. Collaborative planning for hybrid refueling stations with PV power in highway networks[J]. IEEE Transactions on Industry Applications, 2024, 60(1): 1219-1228.
[44]
LIU H, YE Y, WANG H, et al. Spatiotemporal coordination of electric vehicle traffic and energy flows in coupled power-transportation networks with multiple energy replenishment and vehicle-to-grid strategies[J]. Applied Energy, 2025, 396: 126291. DOI: 10.1016/j.apenergy.2025.126291.
[45]
AFSHAR S, MACEDO P, MOHAMED F, et al. Mobile charging stations for electric vehicles: a review[J]. Renewable and Sustainable Energy Reviews, 2021, 152: 111654. DOI: 10.1016/j.rser.2021.111654.
[46]
BOONSENG T, TOWN G, SANGSWANG A, et al. Optimizing battery energy storage for fast charging stations on highways[J]. Journal of Electrical Engineering & Technology, 2025, 20(4): 2149-2163.
[47]
KATONTOKA M, ORSI F, BAKKER M, et al. Toward sustainable transportation: a systematic review of EV charging station locations[J]. International Journal of Sustainable Transportation, 2025, 19(10): 881-893.
[48]
KANDIL S, ABDELFATAH A, AZZOUZ M. Operational and planning perspectives on battery swapping and wireless charging technologies: a multidisciplinary review[J]. IEEE Access, 2025, 13: 52775-52806.
[49]
ALHAZMI Y. Electric vehicle battery swap stations: an overview and critical review[J]. Journal of Umm Al-Qura University for Engineering and Architecture, 2025. DOI: 10.1007/s43995-025-00215-z.
[50]
YANG X, SHAO C, ZHUGE C, et al. Deploying battery swap stations for shared electric vehicles using trajectory data[J]. Transportation Research Part D: Transport and Environment, 2021, 97: 102943. DOI: 10.1016/j.trd.2021.102943.
[51]
周健树, 向月, 张新, 等. 基于深度强化学习的高速公路服务区新能源充电站两阶段优化调控策略[J]. 中国电机工程学报, 2025, 45(11):4130-4143.
[52]
吴浩, 王飚, 牛明博, 等. 基于混合电网与高速公路运行规则下的移动储能双层电能调度研究[J]. 中国公路学报, 2025, 38(11):241-256.
[53]
XU J, MA J, ZHAO C, et al. Dynamic expansion planning of charging stations with fixed and mobile chargers[J]. IEEE Transactions on Intelligent Transportation Systems, 2025, 26(12): 21954-21970.
[54]
NIU M, WANG H, LI J, et al. Coordinated energy dispatch of highway microgrids with mobile storage system based on DMPC optimization[J]. Electric Power Systems Research, 2023, 217: 109119. DOI: 10.1016/j.epsr.2023.109119.
[55]
黄小庆, 于慎仟, 朱彬, 等. 移动充放电设施技术及其规划与运营研究综述[J]. 电力自动化设备, 2024, 44(7):246-254.
[56]
HE K, JIA H, MU Y, et al. Coordinated planning of fixed and mobile charging facilities for electric vehicles on highways[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(9): 10087-10098.
[57]
JIANG W, WANG T, YUAN D, et al. Available solar resources and photovoltaic system planning strategy for highway[J]. Renewable and Sustainable Energy Reviews, 2024, 203: 114765. DOI: 10.1016/j.rser.2024.114765.
[58]
ZHANG T, YAO E, YANG Y, et al. Multi-network coordinated charging infrastructure planning for the self-sufficient renewable power highway[J]. Computer-Aided Civil and Infrastructure Engineering, 2024, 39(16): 2517-2540.
[59]
RODRIGUEZ-GIL J, MOJICA-NAVA E, VARGAS-MEDINA D, et al. Energy management system in networked microgrids: an overview[J]. Energy Systems, 2026, 17(1): 315-346.
[60]
郝雪丽, 赵美瑄, 裴莉莉, 等. 基于改进Pareto算法的风/光/氢蓄储公路微电网调度决策优化[J]. 交通运输工程学报, 2024, 24(4):71-82.
[61]
王飚, 路捷, 沙爱民, 等. 考虑光伏不确定性影响的高速公路光储换一体化能源管理策略[J]. 交通运输工程学报, 2024, 24(4):14-30.
[62]
黄镜欢, 张力, 刘海洋, 等. 高速公路交能融合项目开发的影响因素分析及建议[J]. 南方能源建设, 2024, 11(S1):1-6.
[63]
YANG X, PENG Z, WANG P, et al. Seasonal variance in electric vehicle charging demand and its impacts on infrastructure deployment: a big data approach[J]. Energy, 2023, 280: 128230. DOI: 10.1016/j.energy.2023.128230.
[64]
ZHANG Y, CHEN J, CAI L, et al. Expanding EV charging networks considering transportation pattern and power supply limit[J]. IEEE Transactions on Smart Grid, 2019, 10(6): 6332-6342.
[65]
DING Y, QU G, CHEN X, et al. Deep reinforcement learning-based spatiotemporal decision of utility-scale highway portable energy storage systems[J]. IEEE Transactions on Industry Applications, 2024, 60(1): 966-975.

基金

广东省交通集团科技项目(JT2024YB15)

Accesses

Citation

Detail

段落导航
相关文章

/