Transient thermal network model identification for power module packages

抄録

Transient thermal characterization of power modules plays an important role in designing power conversion systems for miniaturization. Transient thermal network model of power module packages is identified by deconvolution calculation for the time response of junction temperature in power semiconductor devices, which is obtained by static test method. This paper develops a signal processing algorithm using weighted discrete Fourier transformation and noise filtering in frequency domain for nonuniform time step data in the converted logarithmic time domain to apply deconvolution calculation. The developed algorithm suppresses the influence of noise superimposed on the measured signal and enables the accurate identification of transient thermal network model.