Charging pile intelligent scheduling processing method and system

By establishing a charging demand network topology and real-time update of vehicle and charging pile status, predicting vehicle movement trends and generating conflict warning signals, and adjusting charging power distribution using a multi-subject coordination distribution mechanism, the problems of inefficient charging efficiency and energy waste in the existing technology are solved, and more efficient charging resource management is achieved.

CN120046945AActive Publication Date: 2025-05-27SHAANXI TIANTIAN TRAVEL TECH CO LTD
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Patent Information

Application Number
CN202510512141.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-23
Publication Date
2025-05-27
Estimated Expiration
2045-04-23

AI Technical Summary

Technical Problem

The existing charging pile management system is difficult to respond to changes in vehicle movement and charging demand in real time, resulting in local congestion or idleness of charging piles, and failure to effectively optimize charging efficiency and energy utilization.

Method used

By integrating vehicle residual power data and charging pile occupation status data, a charging demand network topology is established, and the vehicle location and charging pile status are updated in real time to predict vehicle movement trends and generate conflict warning signals. Using the multi-subject coordination allocation mechanism, a dynamic balanced allocation strategy is implemented, the vehicle's matching score for charging piles is calculated, and the charging power allocation gradient is adjusted according to the score.

Benefits of technology

It realizes dynamic optimization configuration of charging resources, improves system response capabilities, reduces the queuing time and resource waste of charging piles, and improves overall energy utilization efficiency.

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Abstract

The invention provides a charging pile intelligent scheduling processing method and system. Wherein the dynamic charging demand network topology is constructed by fusing the remaining electric quantity of the vehicle, the occupation state of the charging pile and the vehicle type priority label. And updating vehicle position and charging pile state data in real time, predicting a vehicle motion trend and generating a preemption conflict early warning signal. And based on a multi-main-body coordination distribution mechanism, a matching degree score of the vehicle and the charging pile is calculated in combination with a residual electric quantity attenuation rate and a departure time constraint, and a distribution strategy is dynamically optimized. And finally, the power distribution gradient is adjusted according to the score sequence, so that the high-electric-quantity attenuation vehicle obtains higher power improvement, and efficient resource matching and conflict relief are realized. According to the technical scheme, through dynamic prediction and priority matching, charging pile distribution and power adjustment are intelligently optimized, the charging efficiency of the parking lot is remarkably improved, and vehicle waiting conflicts are reduced.
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