The invention discloses a
new energy automobile power supply detection method and
system, and belongs to the technical field of power supply fault detection. The method comprises the following steps: acquiring three-phase
voltage of a three-phase
inverter, summing absolute values to obtain a three-phase
composite signal, segmenting according to a period, dividing each frame into a left
signal section and a right
signal section, extracting a morphological
feature vector to calculate a
time domain morphological mismatch value, and constructing a
time domain morphological mismatch matrix;
fourier transform is carried out on the left
signal segment and the right signal segment, a
frequency domain form mismatch value is calculated based on the difference between the frequency gravity centers of the
fundamental frequency and the non-
fundamental frequency, and a
frequency domain form mismatch matrix is formed; and further constructing a
time domain and
frequency domain form mismatch evolution matrix,
processing the matrix by using a double-domain collaborative enhancement neural network, and finally outputting a power supply fault
score. Through collaborative analysis of the time domain and frequency domain features and evolution matrix construction, the fault detection precision of the
new energy automobile power supply is effectively improved.