A study on statistical parameter modeling of power MOSFET model by principal component analysis

Hiroki Tsukamoto, Michihiro Shintani, Takashi Sato
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引用次数: 2

Abstract

In this paper, a set of dominant model parameters, which largely contributes characteristic variation of power MOSFETs, has been studied on the basis of statistical parameter extraction. Through the numerical analysis upon measured drain currents of a SiC power MOSFET, we demonstrate that the fluctuation of the current characteristics can be represented by a few random variables. In our example, threshold voltage and current scaling factor are identified particularly important to approximate the fluctuation of the current characteristics.
基于主成分分析的功率MOSFET模型统计参数建模研究
本文在统计参数提取的基础上,研究了一组对功率mosfet的特性变化起重要作用的主导模型参数。通过对SiC功率MOSFET漏极电流测量结果的数值分析,证明了电流特性的波动可以用几个随机变量来表示。在我们的例子中,确定阈值电压和电流比例因子对于近似电流特性的波动特别重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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