Service station planning method and device, electronic equipment, storage medium and program product

CN122114407APending Publication Date: 2026-05-29CONTEMPORARY AMPEREX TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CONTEMPORARY AMPEREX TECHNOLOGY CO LTD
Filing Date
2024-11-27
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

The current planning of energy storage service station networks relies on human experience, resulting in high labor costs and a high degree of subjectivity, making it impossible to obtain effective planning results.

Method used

By obtaining the operating parameters of existing energy storage service stations in the target area, an optimization model for energy storage service station network planning is constructed. The optimization model is then solved using a function that calculates the average investment return period as the objective function to obtain the service station planning results.

Benefits of technology

It provides objective service station planning results, realizes the scientific optimization of the energy storage service station network, avoids the subjectivity of relying on human experience, and improves the accuracy and efficiency of planning.

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Patent Text Reader

Abstract

The application discloses a service station planning method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: obtaining the operation parameters of an existing energy storage service station in a target area; establishing a service network planning model based on the operation parameters; the service network planning model at least comprises a target function, and the target function is a function for calculating an average investment return period; taking the average investment return period being less than a preset period as a target, calculating the service station planning result of the target area by using the service network planning model, and realizing automatic and intelligent planning of the service station network in the target area. Compared with the existing service station network calculation relying on manual experience, the application can provide an objective service station planning result and reduce the labor cost.
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