Research on Pricing Method of Electric Vehicle Charging Pile Optimization Based on Particle Swarm Optimization Algorithm

In recent years, with the rapid expansion of electric vehicles, charging service market also rapid development, the construction of charging station operation will be dominated by the government gradually to various social capital in investment construction, different charging stations belonging to different charging station operators, in order to maximize their own interests, a competitive relationship between the charging stations. In order to solve the problem of multi-subject interest balance in the charging market scenario composed of multiple charging stations and multiple electric vehicle (EV) travelers, it is necessary to study the charging price pricing method of calculating the interest game of charging stations. Therefore, this paper proposes the EV charging pile pricing method optimized based on the particle swarm algorithm to solve the problem that the charging price pricing method cannot take into account the multi-party interests of charging stations and EV travelers.

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Published
2025-01-10
DOI
https://doi.org/10.1109/iceaai64185.2025.10956999
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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article

Research on Pricing Method of Electric Vehicle Charging Pile Optimization Based on Particle Swarm Optimization Algorithm

Min Zheng, Lichun Tian, Yue Gan, Nan Ye
Electric Vehicles and Infrastructure
article

Research on Pricing Method of Electric Vehicle Charging Pile Optimization Based on Particle Swarm Optimization Algorithm

Min Zheng, Lichun Tian, Yue Gan, Nan Ye
article en

Abstract

In recent years, with the rapid expansion of electric vehicles, charging service market also rapid development, the construction of charging station operation will be dominated by the government gradually to various social capital in investment construction, different charging stations belonging to different charging station operators, in order to maximize their own interests, a competitive relationship between the charging stations. In order to solve the problem of multi-subject interest balance in the charging market scenario composed of multiple charging stations and multiple electric vehicle (EV) travelers, it is necessary to study the charging price pricing method of calculating the interest game of charging stations. Therefore, this paper proposes the EV charging pile pricing method optimized based on the particle swarm algorithm to solve the problem that the charging price pricing method cannot take into account the multi-party interests of charging stations and EV travelers.

Fujian Electric Power Survey & Design Institute (CN)
Openalex Percentile: Top 94%
Electric Vehicles and Infrastructure
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Research on Pricing Method of Electric Vehicle Charging Pile Optimization Based on Particle Swarm Optimization Algorithm — Min Zheng, Lichun Tian, et al. · (2025) | TGRS Research Map | TGRS