Intelligent energy-saving management method and system for charging piles based on big data

Abstract

The present invention discloses an intelligent energy-saving management method and system for charging piles based on big data, and relates to the technical field of energy-saving management of charging piles. The method includes: collecting parameter data of charging piles and charging equipment, forming a data set and preprocessing, constructing an input feature matrix to input a trained charging power prediction deep learning model, outputting predicted charging power, performing target optimization, and adjusting the charging power of the charging pile for energy-saving management; when charging, compensating the charging power according to the actual battery power and the target battery power calculated for the next time interval; monitoring the charging pile to generate a health status coefficient, and when it is less than a preset health threshold, generating a charging pile warning signal for maintenance. Through power prediction, health status monitoring and charging power compensation, dynamic optimization and stable control of the charging process are achieved, energy consumption is effectively reduced, equipment service life is extended, charging stability is improved, and the charging process is ensured to be highly matched with actual needs.

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