Dynamic Pricing of Electric Vehicle Charging Station Alliances Under Information Asymmetry

Zeyu Liu; Yun Zhou; Donghan Feng; Shaolun Xu; Yin Yi; Hengjie Li; Haojing Wang

doi:10.17775/CSEEJPES.2023.07930

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Dynamic Pricing of Electric Vehicle Charging Station Alliances Under Information Asymmetry

Regular Papers | 更新时间：2026-03-25

- Dynamic Pricing of Electric Vehicle Charging Station Alliances Under Information Asymmetry
- CSEE Journal of Power and Energy Systems Vol. 12, Issue 1, Pages: 481-494(2026)
- 作者机构：
  
  1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, School of Electrical Engineering, Shanghai Jiao Tong University,Shanghai,China
  2. School of Electrical Engineering and Information Engineering, Lanzhou University of Technology,Lanzhou,China
  3. State Grid Shanghai Electric Power Research Institute,Shanghai,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2023.07930
  CLC：
- Published：2026
- 稿件说明：
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Zeyu Liu, Yun Zhou, Donghan Feng, et al. Dynamic Pricing of Electric Vehicle Charging Station Alliances Under Information Asymmetry[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 481-494.
DOI：

Zeyu Liu, Yun Zhou, Donghan Feng, et al. Dynamic Pricing of Electric Vehicle Charging Station Alliances Under Information Asymmetry[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 481-494. DOI： 10.17775/CSEEJPES.2023.07930.

摘要

Abstract

Due to the centralization of charging stations (CSs)

CSs are organized as charging station alliances (CSAs) in the commercial competition. Under this situation

this paper studies the profit-oriented dynamic pricing strategy of CSAs. As the practicability basis

a privacy-protected bidirectional real-time information interaction framework is designed

under which the status of EVs is utilized as the reference for pricing

and the prices of CSs are the reference for charging decisions. Based on this framework

the decision-making models of EVs and CSs are established

in which the uncertainty caused by the information asymmetry between EVs and CSs and the bounded rationality of EV users are integrated. To solve the pricing decision model

the evolutionary game theory is adopted to describe the dynamic pricing game among CSAs

the equilibrium of which gives the optimal pricing strategy. Finally

the case study conducted in an urban area of Shanghai

China

validates the practicability of the framework and the effectiveness of the dynamic pricing strategy.

关键词

Keywords

references

2. Spirii. ( 2023, Feb. ). Dynamic pricing from spirii: the future of EV charging costs explained [Online ] . Available: https://spirii.com/en/resources/blog/dynamic-pricing-from-spirii-the-future-of-ev-charging-costs-explained

3. Autopay. ( 2023, Oct. ). Future-proof parking technology for Oslo Airport Gardermoen [Online ] . Available: https://autopay.io/solutions/articles/future-proof-parking-technology-for-oslo-airport-gardermoen

4. The Central People's Government of the People's Republic of China. ( 2023, Jun. ). State Council General Office Guiding Opinions on Further Building a High-Quality Charging Infrastructure System [Online ] . Available: https://www.gov.cn/zhengce/content/202306/content_6887167.htm

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