Evaluation method of charging pile state

Abstract

The invention discloses an evaluation method of a charging pile state. The method comprises the steps that working condition data of a plurality of charging piles arranged at different places are acquired at a preset time interval; the working condition data are intercepted according to a sliding time window model to form a sample data matrix X caret t; an estimated limit spectrum probability density function h caret (x) is calculated according to the sample data matrix X caret t and a linear process power spectral density function, and h caret (x) is arranged according to the chronological order to form an evaluation matrix H caret (x); an evaluation index is calculated according to a column vector nt of H caret (x), corresponding to the moment t, and a column vector nt-1 of H caret (x),corresponding to the moment t-1; and according to the evaluation index, compared with a preset fault index range, the fault state of the charging piles is judged. According to the evaluation method ofthe charging pile state, the inner link between the working condition of the charging piles and various influence factors can be analyzed, the pre-judgment before a fault occurs is made, the fault probability of the charging piles is reduced, and the maintenance of the charging pile is facilitated.

Description

technical field [0001] The invention relates to a charging pile, in particular to a method for evaluating the state of a charging pile. Background technique [0002] With the increasing use of electric vehicles, the demand for charging piles is also increasing. Therefore, it is particularly important to detect the operating status of charging piles. [0003] At present, the detection of charging piles usually includes reporting the real-time working condition data of the charging pile, and the platform server collects the working condition data. If it is found that the charging pile does not report the working condition data at the preset time, or judge the equipment by other means Offline, the operation and maintenance management application will be notified of the abnormalities found, and then inspection instructions will be issued to professional maintenance personnel. Through manual surveys, the abnormalities found will be processed on-site, and the maintenance results ...

AI Technical Summary

Problems solved by technology

[0004] The faults of the charging pile mainly include the following types: the charging pile cannot continue charging due to accidental water ingress, foreign objects entering and leaving, and sudden changes in ambient temperature; during the charging process, the charger control device has a communication timeout, causing the charger to stop. The charging situation; during the charging process, the output voltage of the charger is greater than the total charging voltage of the vehicle; the aging of the charging pile or the long-term abnormal working state reduces its performance

[0005] Based on this, the inventors of the present application found that currently, for the faults and detection of the above-mentioned charging piles, they can only be repaired after the fault occurs, and a large amount of professional manpower and material resources are needed. Not only the operation and maintenance cost is high and the efficiency is low, but also cannot Carrying out state assessment based on the working condition data of the charging pile, it is impossible to judge the abnormal working state before the fault occurs, which is not conducive to the maintenance of the charging pile

Images