Transient thermal network model identification for power module packages

Transient thermal network model identification for power module packages
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功率模块封装的瞬态热网络模型识别

DOI:
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发表时间:
2020
期刊:
Nonlinear Theory and Its Applications IEICE
影响因子:
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通讯作者:
T. Funaki
T. Funaki
中科院分区:
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文献类型:
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作者:
Shuhei Fukunaga;T. Funaki

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电源模块的瞬态热特性对小型化电源转换系统的设计具有重要意义。通过对功率半导体器件结温时间响应的反褶积计算,识别功率模块封装的瞬态热网络模型。本文提出了一种采用加权离散傅立叶变换和频域噪声滤波的信号处理算法,对转换后的对数时域非均匀时间步长数据进行反卷积计算。该算法抑制了噪声叠加对实测信号的影响,实现了对瞬态热网模型的准确识别。
: 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 sup-presses the influence of noise superimposed on the measured signal and enables the accurate identification of transient thermal network model.
DOI: 10.1109/tdmr.2013.2292547
发表时间: 2014-03-01
影响因子: 2
作者:
Chen, Huifeng;Ji, Bing;Cao, Wenping
通讯作者: Cao, Wenping