A method and system for fault prediction of electric vehicle charging facilities

Abstract

The present invention provides a method and system for fault prediction of electric vehicle charging facilities, including: reading charging data sets, classifying the data sets; setting the data range of each hyperparameter; selecting a group of hyperparameters with the highest accuracy as The hyperparameters of the fault prediction model are used to re-initialize the model; the Bagging algorithm is used to generate different sub-datasets; the different sub-datasets are handed over to the corresponding decision tree model for regression analysis; according to the different output weights of each decision tree during training, the The result after all outputs are unified is output as the distance to failure prediction time of this model. The invention realizes the fault prediction of the charging facilities, can take preventive measures before the fault actually occurs, avoids the fault occurrence, reduces the component damage and service interruption caused by the fault, and prevents the facility from entering an unsafe or uncertain state caused by the fault. Thereby reducing operation and maintenance costs, improving equipment operation efficiency, and ensuring safety.

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

Images