基于反射法的具有分支网络的SiC降压变换器SOH估计方案

A. Hanif, Faisal Khan
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引用次数: 4

摘要

本文提出了一种基于反射法的抗干扰方法来识别由SiC MOSFET构成的降压变换器的退化,并在栅极和源端之间应用扩频时域反射法(SSTDR)来实现原位健康状态(SOH)估计。采用可控老化站对SiC MOSFET进行功率循环老化。记录健康和老化buck转换器的SSTDR反射,并比较这些记录值以确定退化程度。通过实验,很明显,单次测量足以估计具有复杂/分支网络的buck变换器中与SiC MOSFET相关的退化水平。研究结果也证明了基于SSTDR的技术可以识别系统中其他部件的老化。由于闸端始终处于较低电位且易于接近,该技术为现有状态监测方案带来了额外的优势。
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Reflectometry Based SOH Estimation Scheme for a SiC Buck Converter Having Branched Network
A reflectometry based non-interfering method to identify the degradation of a buck converter built from SiC MOSFET has been proposed in this paper, and spread spectrum time domain reflectometry (SSTDR) has been applied between gate and source terminal to achieve the in-situ state of health (SOH) estimation. A controlled aging station was used to execute the power cycling method to age the SiC MOSFET. SSTDR reflections were recorded for both the healthy and the aged buck converter, and these recorded values were compared to determine the level of degradation. Through the experiment, it was apparent that a single measurement is sufficient to estimate the degradation level associated to the SiC MOSFET in a live buck converter having complex/branch network. The outcome of this research also proves that the SSTDR based technique can identify the aging of other components in the system. Since the gate terminal always stays at lower potential and easier to access, this technique brings an added advantage to the existing condition monitoring schemes.
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