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Design Considerations and Their Optimization for a Two-Level GaN-Based Current Source Inverter
This article presents an application of gallium nitride (GaN) devices for the development of a three-phase two-level current source inverter (2L-CSI). Its high-frequency operation at extremely low temperatures can offer higher power efficiencies and densities because of the improved performance of G...
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Published in: | IEEE journal of emerging and selected topics in power electronics 2024-06, Vol.12 (3), p.3173-3187 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | This article presents an application of gallium nitride (GaN) devices for the development of a three-phase two-level current source inverter (2L-CSI). Its high-frequency operation at extremely low temperatures can offer higher power efficiencies and densities because of the improved performance of GaN devices and inductive dc link storage elements. However, higher power rating CSI with paralleled GaN devices together with symmetrical and optimized power loop, and overall converter structure. An imbalanced and larger power loop can result in severe device overshoots, imbalanced switching loss distribution, and imbalanced ripple across output voltage. However, less effort has been spent to understand the intricacies of a CSI. This article presents a comprehensive study of all the layout-induced challenges in a CSI using parallel-connected GaN devices by introducing multiple objectives. Furthermore, the impact of the passive phase (PP) has also been recognized leading to a modified double pulse test (DPT). This article develops two different converter structures with state-of-the-art symmetrical power loop inductance of 3.98 nH and parasitics capacitance of 6.22 pF, and therefore improved output voltage quality. Numerous hardware results together with continuous operation of the converter were presented till 100 V with a peak value of measured efficiencies around 97.63% to prove the process of optimization. |
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ISSN: | 2168-6777 2168-6785 |
DOI: | 10.1109/JESTPE.2024.3391005 |