Electric vehicle charging station site selection optimization method based on game theory

Through the electric vehicle charging station site selection optimization method based on game theory, a charging station game model is constructed and the utility function value is calculated, which solves the balance problem between cost and coverage in the site selection of electric vehicle charging stations and achieves efficient coverage and low-cost distribution of charging stations.

CN120689092AActive Publication Date: 2025-09-23WUHAN UNIV OF SCI & TECH +2
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Patent Information

Application Number
CN202511186890.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-25
Publication Date
2025-09-23
Estimated Expiration
2045-08-25

AI Technical Summary

Technical Problem

Traditional methods are unable to effectively balance the mutual constraints between construction costs and service coverage in the site selection of electric vehicle charging stations, resulting in waste of resources and inconvenience for users in charging.

Method used

An electric vehicle charging station site selection optimization method based on game theory is adopted. By constructing an electric vehicle charging station game model, the utility function value of each charging station node is calculated, the strategy corresponding to the maximum utility is found, and the node coordinates are updated until the Nash equilibrium is reached to achieve a balance between the total cost and coverage of the charging station.

Benefits of technology

The coverage rate of electric vehicle charging stations has been improved, the total cost of charging stations has been reduced, the optimal balance between cost and coverage has been achieved, and the site selection and distribution of charging stations has been optimized.

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Abstract

The invention discloses an electric vehicle charging station site selection optimization method based on a game theory, and relates to the technical field of electric vehicle charging station site selection, and the method comprises the following steps: carrying out the random placement of charging station nodes, recording the initial coordinates of all nodes, and constructing an electric vehicle charging station game model based on the game theory; calculating utility function values corresponding to all strategies of each charging station node in the current iteration, finding out the strategy corresponding to the maximum utility, and updating the node coordinate set; and ending iteration until the Nash equilibrium or the maximum number of iterations is reached, and applying the obtained optimal Nash equilibrium solution to the site selection planning of the electric vehicle charging station so as to achieve the balance between the total cost and the coverage rate of the charging station. The optimal position of the electric vehicle charging station can be provided, the coverage rate is increased, and the cost is reduced.
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