Charging behavior identification method and device, terminal equipment and storage medium
A recognition method and behavioral technology, applied in neural learning methods, character and pattern recognition, coin-operated equipment for distributing discrete items, etc., can solve problems such as reducing user charging experience and failing to recognize whether electric vehicles have been replaced
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Embodiment 1
[0096] See figure 2 , which is a schematic block diagram of a charging behavior identification method provided in the embodiment of the present application, and the method may include the following steps:
[0097] Step S201. Obtain the charging data of the electric vehicle uploaded by the charging pile, and the charging data includes charging current data.
[0098] It should be noted that the above charging data generally includes charging voltage data, charging current data and charging power data. During the charging process of electric vehicles, the charging voltage and charging power are generally constant. In some cases, corresponding analysis and identification can be performed based on charging current data only. At this time, the above charging data can only include charging current data. In other cases, charging current data and charging voltage data are required, and at this time, the above charging data may only include charging voltage data and charging current d...
Embodiment 2
[0119] See Figure 4 , which is another schematic flow diagram of the charging behavior recognition method provided in the embodiment of the present application, the method may include the following steps:
[0120] Step S401. Obtain the charging data of the electric vehicle uploaded by the charging pile, and the charging data includes charging current data.
[0121] Step S402, generating a charging current curve according to the charging current data.
[0122] Specifically, according to data such as charging current and voltage, corresponding curves are drawn in a set coordinate system.
[0123] It should be noted that, in general, the charging data mainly includes current, voltage and power, while the charging power of electric vehicles is generally unchanged, and the power curve can play a small role in the analysis and identification of the battery state. The voltage identification process It is relatively simple and can generally be completed before current identificatio...
Embodiment 3
[0166] See Figure 9 , which is another schematic block diagram of the charging behavior identification method provided in the embodiment of the present application, the method may include the following steps:
[0167] Step S901. Obtain the charging data of the electric vehicle uploaded by the charging pile, and the charging data includes charging current data.
[0168] Step S902, input the charging data into the pre-trained random forest model, and obtain the charging mode corresponding to the charging data.
[0169] It should be noted that the random forest model can be a model including n decision trees, n is a positive integer greater than zero, and the model can be specifically Figure 10 The model in the random forest model diagram, such as Figure 10 As shown, it includes decision trees Tree1, Tree2...Tree(n-1), Tree(n), each decision tree classifies the corresponding random sample set, and obtains the corresponding classification results Type 1, Type 1...Type 2 , Ty...
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