An electric vehicle charging facility fault prediction method and system

Abstract

The invention provides an electric vehicle charging facility fault prediction method and system, and the method comprises the steps of reading a charging data set, and carrying out the type division of the data set; setting the data range of each hyper-parameter; selecting a group of hyper-parameters with the highest accuracy as hyper-parameters of the fault prediction model to reinitialize the model; generating different sub-data sets by using a Bagging algorithm; respectively submitting different sub-data sets to the corresponding decision tree models for regression analysis; and according to different output weights of each decision tree during training, outputting a result obtained after all outputs are unified as distance fault prediction time of the model. According to the method, the fault prediction of the charging facility is realized, the prevention measures can be taken before faults really occur, the faults are avoided, the part damage, service interruption and the like caused by the faults are reduced, and the facilities are prevented from entering an unsafe or uncertain state caused by the faults, so that the operation and maintenance cost is reduced, the equipment operation efficiency is improved, and the safety is ensured.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to a method and system for predicting failures of charging facilities for electric vehicles. Background technique [0002] With the continuous expansion of the number of electric vehicles, the scale of charging facilities has also expanded accordingly. However, their wide distribution, no fixed single user, direct placement in the natural environment, and the need to be able to work at any time have brought great benefits to their operation and maintenance work. The challenge is to evaluate the state and predict the fault during its operation, and take evasive measures to avoid the occurrence of faults, which will bring obvious effects and create value in cost control and improvement of facility operation rate. [0003] Fault diagnosis technology has been applied to traditional large-scale equipment such as wind turbines and power generation equipment for many years, formi...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method and system for fault prediction of electric vehicle charging facilities, which aims to solve the problem of requiring a large number of manual participation in fault diagnosis of charging facilities in the prior art, realize fault prediction of charging facilities, and reduce operation and maintenance costs , improve equipment operation efficiency

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