Charging pile remote regulation and control method and system based on cloud platform

By constructing a two-dimensional model of user behavior and power grid status, and combining multi-timescale optimization decision-making and edge adaptive execution, the problems of delay and inaccuracy in remote control of charging piles are solved, and deep collaboration and security between the charging process and the power grid are achieved.

CN122143720APending Publication Date: 2026-06-05SHANGRAO FANCE INTELLIGENT TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610607063.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-06
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

The remote control function of existing charging pile cloud platforms suffers from single-point operation, lack of coordination, insufficient power limitation, static and high-latency control rules, inability to dynamically respond to rapid fluctuations in the power grid, and lack of deep integration between user behavior profiles and power flow calculations, resulting in inaccurate control and delays.

Method used

A two-dimensional model of user behavior and power grid status is constructed. Combined with multi-timescale optimization decision-making, control commands are issued to the edge nodes of charging piles through the cloud platform. The edge nodes execute adaptively and continuously collect data to dynamically update the model and strategy, and conduct charging safety assessment and risk warning.

Benefits of technology

It achieves precision, real-time and flexibility in charging regulation, reduces grid impact and safety risks, and improves grid stability and user experience.

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Abstract

The invention provides a charging pile remote regulation and control method and system based on a cloud platform. The method belongs to the technical field of new energy infrastructures and smart grids. The method comprises the steps of collecting historical charging data of a charging pile user and historical operation data of a power grid of a region where the charging pile user is located, and generating a user charging original data set and a power grid original operation data set; constructing a user behavior and power grid state two-dimensional model by using a data mining algorithm, and generating two-dimensional model data; by constructing the user behavior and power grid state two-dimensional model, the charging habit of the user and the real-time operation characteristics of the power grid can be accurately captured, detailed and comprehensive data support is provided for regulation and control of the charging pile, the problem of inaccurate regulation and control caused by single data dimension in a traditional mode is effectively avoided, and the user experience is improved. And the scientificity and rationality of a charging regulation and control decision are improved.
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