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IEEE Journal of Emerging and Selected Topics in Power Electronics
Article . 2021 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Predesign Methodology of Voltage Inverters Using a Gradient-Based Optimization Algorithm

Authors: Adrien Voldoire; Jean-Luc Schanen; Jean-Paul Ferrieux; Benoit Sarrazin; Cyrille Gautier;

Predesign Methodology of Voltage Inverters Using a Gradient-Based Optimization Algorithm

Abstract

This article presents an optimization process applied to the sizing of high-power silicon carbide inverters. The case study is the design of an aeronautical converter. A gradient-based optimization method is chosen for its ability to explore a wide solution space with a large amount of constraints, which is the case during the predesign phase. Many topologies are selected and the associated models are developed. Among all these models, active and passive component design and spectral analysis of voltages and currents are presented. The optimization results, with the goal of minimizing the global mass of the converter, are provided. The different topologies are compared to find the best one for the selected case study. The relevance of the optimization result is evaluated with the study of the optimality of the solution. Finally, the experimental results are compared with the optimization ones, which validates the good accuracy of analytical models.

Keywords

SiC, Interleaving, [SPI.NRJ]Engineering Sciences [physics]/Electric power, Index Terms -Optimization, Design Automation, Voltage Source Inverter, 620, [SPI.NRJ] Engineering Sciences [physics]/Electric power

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
bronze