2018
DOI: 10.1109/tpel.2018.2822939
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Silicon Carbide Power MOSFET Model: An Accurate Parameter Extraction Method Based on the Levenberg–Marquardt Algorithm

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Cited by 35 publications
(23 citation statements)
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“…This not only allows accurate scaling to alternate chip dimensions but also enables design optimization by linking the time domain performance to the manufacturing process within SPICE [29]. In [30], Jouha et al extend the McNutt model, originally presented in [31], via a channel length modulation term (λ). Additionally, the parameter extraction accuracy is improved via the Levenberg-Marquardt (L-M) optimization algorithm.…”
Section: A Recent Physics Modelsmentioning
confidence: 99%
“…This not only allows accurate scaling to alternate chip dimensions but also enables design optimization by linking the time domain performance to the manufacturing process within SPICE [29]. In [30], Jouha et al extend the McNutt model, originally presented in [31], via a channel length modulation term (λ). Additionally, the parameter extraction accuracy is improved via the Levenberg-Marquardt (L-M) optimization algorithm.…”
Section: A Recent Physics Modelsmentioning
confidence: 99%
“…The modelling of the MOSFET behaviour must consider the physical parameters variations. For this purpose, we use a compact model that describes the SiC power MOSFETs behaviour depending on the materials properties and the impact of temperature [22]. The model describes the drain-source current I ds in two operating regions by the following equations:…”
Section: Description Of the Compact Modelmentioning
confidence: 99%
“…Tc1, TC2, TC3 and Tc4 are temperature coefficients. These parameters are extracted by using the Levenberg-Marquardt algorithm [27] as shown in Table 1.…”
Section: Modeling Temperature Dependencymentioning
confidence: 99%