Power Electronics Modeling and Design: Using Parametric and Model-Form Uncertainty Quantification to Assess Predictive Accuracy of Power Converter Models

• Published in: IEEE power electronics magazine Vol. 4; no. 4; pp. 44 - 52
• Main Authors: Mehrabadi, Niloofar Rashidi, Burgos, Rolando, Roy, Christopher, Boroyevich, Dushan
• Format: Magazine Article
• Language: English
• Published: IEEE 01.12.2017
• Subjects: Computational modeling; Integrated circuit modeling; Mathematical model; Numerical models; Power electronics; Predictive models; Uncertainty
• ISSN: 2329-9207; 2329-9215
• DOI: 10.1109/MPEL.2017.2760250

This article presents an enhanced modeling framework for the design of power electronics converters and systems. This methodology provides the means to assess and quantify the predictive accuracy of power converter models, a capability that is attained by the proper identification, characterization, and quantification of the different, and often numerous, sources of uncertainty in the modeling and simulation process. For illustrative purposes, an in-depth example is presented using a power electronics building block (PEBB) as the modeling test bed, demonstrating how, through this formal modeling procedure-and taking into consideration the uncertainties in the system-the model in question can predict the variable of interest within a known range with a given level of confidence, without requiring heuristic safety factors. This predicted range can be used as the required design margin when the selected output is a design variable, evincing the inherent potential of having a less conservative and more reliable power converter using the design methodology with uncertainty quantification.