Charging mode identification method, charging mode identification device, terminal device and storage medium
A technology of charging mode and identification method, which is applied in the field of electric vehicles, can solve problems such as the inability to identify the charging state, and achieve the effect of identification and monitoring
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Embodiment 1
[0078] See figure 2 , which is a schematic flow diagram of a charging mode recognition method provided in an embodiment of the present application, and the method may include the following steps:
[0079] Step S201, acquiring charging data of the electric vehicle.
[0080] It can be understood that the above charging data may include but not limited to charging current, charging voltage and charging power of the electric vehicle. The charging power of electric vehicles can be identified by the power metering chip on the charging pile.
[0081] It should be noted that the charging data can be data uploaded by the charging pile in real time, that is, during the charging process of the electric vehicle connected to the socket of the charging pile through the power adapter and the charging cable, the charging pile collects the collected charging data in real time through the telemetry message According to the relevant information carried in the telemetry message, such as the un...
Embodiment 2
[0115] See Figure 7 , which is another schematic flow diagram of the charging mode recognition method provided in the embodiment of the present application, the method may include the following steps:
[0116] Step S701 , acquiring a training sample data set, which is a data set including current curve sample pictures corresponding to all charging modes.
[0117] Step S702, performing a data preprocessing operation on the training sample data set.
[0118] It can be understood that the above training sample data set includes a plurality of sample pictures, and these sample pictures include pictures of charging curves corresponding to all charging modes.
[0119] Among them, the data preprocessing operation can convert the sample picture into a standard picture. In some embodiments, the above-mentioned specific process of performing data preprocessing operations on the training sample data set may include: randomly extracting a first preset number of target pictures with a t...
Embodiment 3
[0146] See Figure 8 , which is a schematic block diagram of a charging pattern recognition device provided in an embodiment of the present application, the device may include:
[0147] An acquisition module 81, configured to acquire the charging data of the electric vehicle;
[0148] The curve generation module 82 is used to generate a charging curve according to the charging data, and the charging curve includes a current curve;
[0149] Conversion module 83, for converting current curve into charge curve sample picture;
[0150] The recognition module 84 is used to input the charging curve sample picture into the pre-trained neural network model to obtain the charging pattern recognition result.
[0151] In a feasible implementation, the neural network model is a neural network based on stacked sparse self-encoding including an input layer, a first hidden layer, a second hidden layer, a multi-classification layer and an output layer; the above identification module may in...
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