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Abstract

The invention discloses a charging state analysis method of a electric vehicle based on electrical characteristic sequence analysis. The method includes following steps: step S1, obtaining voltage sampling data and current sampling data of the electric vehicle during charging; step S2, setting a time interval, so as to divide the voltage sample data and the current sampling data obtained in step S1 into multiple data sets; step S3, calculating an electrical characteristic vector of each time interval; step S4. adding the calculation results of Step S3 to a temperature sensing value T, and generate an electrical characteristic sequence of whole charging cycle; step S5, inputting the electrical characteristic sequence of the electric vehicle into a trained Time Recurrent Neural Network (TRNN) in sequence to obtain corresponding results; if the result is 1, it means normal; if the result is 0, it means abnormal. Compared with the traditional temperature monitoring of the electric vehicle, the invention analyzes the charging state of the electric vehicle by using the electrical sensing, which can quickly find the abnormal situation of the charging of the electric vehicle, and considers the historical data and the time sequence changes of the characteristics in the analysis of the electrical characteristic sequence, so as to improve the accuracy of the state analysis.

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First Claim