An electric vehicle charging pile provides two charging modes: regular charging and quick charging. Users can swipe a specific charging card on the human-computer interaction interface provided by the charging pile to carry out corresponding operations such as selecting the charging mode, charging time, and cost data printing, etc.
To start the charging pile, click the screen to select the charging mode, choose the charging connector, and begin charging. To stop the charging pile, enter the 'setting interface' -- function setting -- startup mode, and select 'start by button'.
If a fault is not cleared in a charging pile, it could not work normally after started a second time. After settlement completion, faults are warned and reset, and the charging pile enters a standby state. Only after the fault has been cleared can the charging pile work by restarting.
Since the smart charging piles are generally deployed in complex environments and prone to failure, it is significant to perform efficient fault diagnosis and timely maintenance for them.
Abstract: With the application of the Internet of Things (IoT), smart charging piles, which are important facilities for new energy electric vehicles (NEVs), have become an important part of the smart grid.
In this article, a real-time fault prediction method combining cost-sensitive logistic regression (CS-LR) and cost-sensitive support vector machine classification (CS-SVM) is proposed. CS-LR is first used to classify the fault data of smart charging piles, then the CS-SVM is adopted to predict the faults based on the classified data.