The invention belongs to the technical field of
power semiconductor device life prediction, and particularly relates to a SiC
MOSFET life prediction method based on
gate oxide layer aging. The method comprises the following steps: firstly, acquiring a real
threshold voltage sequence under different working conditions through a SiC
MOSFET accelerated aging test, and preprocessing the real
threshold voltage sequence; then, a life prediction model is constructed based on the conditional
generative adversarial network, and the life prediction model comprises a generator, a common
discriminator, a conditional
discriminator, a coding network and a
reverse recovery network; enabling the working condition as a condition
label and the preprocessed real
threshold voltage sequence to sequentially pass through a coding network and a
reverse recovery network to obtain a real threshold
voltage sequence embedded with the working condition; using the working condition as a condition
label and a randomly generated
Gaussian noise sequence to pass through a generator to obtain an analog threshold
voltage sequence embedded with the working condition; inputting the real threshold
voltage sequence and the
simulation threshold voltage sequence with the embedded working conditions into a common
discriminator and a condition discriminator at the same time for discrimination; and finally, training the life prediction model, and generating a threshold voltage sequence under an expected working condition by using a trained generator. According to the method, the service life of the SiC
MOSFET under different working conditions can be predicted offline, and the method is more applicable.