Author(s)

Shifan Han ^1,2, Fan Zhang ³, Zhan Shu ¹, Dingding Li ²

Affiliation(s)

¹ Sichuan Academy of Transportation Development Strategy and Planning Sciences, Chengdu, China
² Tianfu Yongxing Laboratory, Chengdu, China
³ China Communications expressway Planning and Design Institute Co., Ltd, Chengdu, China

Corresponding Author

Shifan Han

ABSTRACT

The scientific layout of charging stations based on the charging demand of electric vehicles on expressways is great significance to reduce range anxiety of electric vehicles and promote the sustainable development of the electric vehicle industry. Taking the expressway in Sichuan Province as a case study, this study reveals the characteristics of charging demand during holidays and puts forward corresponding operation and management strategies by analyzing the infrastructure data and charging business data of charging stations in expressway service areas in Sichuan Province. The research results indicate that the uneven spatial and temporal distribution of expressway service areas in Sichuan Province is the core feature，and its main difficulties include the prominent contradiction between power supply and demand in electric vehicle, the unbalanced regional distribution and the overload operation of some stations in the peak season of tourism. In the future, when optimizing the layout and facility configuration of expressway charging stations, the actual charging demand characteristics of expressway electric vehicles should be further considered.

KEYWORDS

Expressway; Electric Vehicle; Charging Demand Characteristics; Sichuan Province

CITE THIS PAPER

Shifan Han, Fan Zhang, Zhan Shu, Dingding Li, Analysis of Charging Demand Characteristics for Electric Vehicles on Expressways: Evidence from Sichuan Province. Frontiers in Traffic and Transportation Engineering (2025) Vol. 5: 44-51. DOI: http://dx.doi.org/10.23977/ftte.2025.050106.

REFERENCES

[1] Chen Lidan, Zhang Yao, Antonio FIGUEIREDO. Overview of Charing and Discharing Load Forcasting for Electeic Vehicles. Automation of Electric Power System, 2019, 43 (10): 177-191.
[2] The General Office of the State Council. Guiding Opinions of the General Office of the State Council on Further Building a High Quality Charging Infrastructure System. Central People's Government of the People's Republic of China, 2023.
[3] The National Development and Reform Commission and other departments. Implementation Opinions of the National Development and Reform Commission and Other Departments on Further Enhancing the Service Guarantee Capability of Electric Vehicle Charging Infrastructure. Development and Reform Commission website, 2022.
[4] Action Plan for Accelerating the Construction of Charging Infrastructure Along expressways. Website of the Ministry of Transport, 2022.
[5] Li T, Wang J, Huang J, et al. Exploring temporal heterogeneity in an intercity travel network: A comparative study between weekdays and holidays in China. Journal of Geographical Sciences, 2020, 30:1943-1962.
[6] Qin Jianhua, Pan Chongchao, Zhang Xuan, et al. Electric Vehicle Charging Load Prediction Based on Charging Behavior Analysis. Electrical Measurement ＆ Instrumentation, 2023, 60 (4): 19-26.
[7] Geng Peng, Yang Haojie, Shizong Xia, et al. Electric Vehicle Charing Demand Forecasting Based on Spationtemporal Graph Convolutional Networks. Transportation Engineering, 2024, 24 (11): 37-45.
[8] Chai Xinxi. Study on Travel Mode Choice Behavior in Consideration of New Energy Vehicles. Xi'an: Chang'an University, 2023.
[9] Liu Qian. Research on Residents' Travel Intention and Travel Mode Choice under the New Energy Vehicle Policy. Xi'an: Chang'an University, 2023.
[10] Kuang Haoxuan, Chen Kezhou, Li Jun. Analysis of Holiday Electric Vehicle Charging Demand in Tourist Locations. Proceedings of the 2025 World Transport Conference (WTC2025) (Volume 2), 2025.
[11] Li Zhi. Research on Location and Capacity Determination of Charging Stations for Electric Vehicles on Freeways. Dalian: Dalian Maritime University, 2023.
[12] Li Dongyu. Research on Site Selection and Volume Decision of Electric Vehicle Charging Stations on Expressway. Dalian: Dalian Maritime University, 2021.

Sponsors, Associates, and Links

---

• Advances in Naval Architecture and Ocean Engineering
  
  
• Journal of Vehicle and Intelligent Transport System
  
  
• Urban Transport Systems
  
  
• Journal of Connected Vehicles