Optimization and Design Considerations of GaN-Based Multi-Level TP PFC Converters

Enis Baris Bulut, Derya Ahmet Kocabas, Serkan Dusmez*

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

7 Atıf (Scopus)

Özet

Latest developments in low voltage wide-bandgap semiconductor technology have increased the popularity of single-phase multi-level (ML) totem pole (TP) power-factor correction (PFC) converters. Phase shifted flying capacitor based power stages offer several advantages, such as higher input current ripple frequency, smaller size inductor and differential mode (DM) filter, and usage of low voltage Gallium Nitride (GaN) devices with better figure-of-merit. Even though it has been proven that ML TP PFC converters have good power density and efficiency, the determination of optimal voltage levels and switching frequency requires a system-level optimization. This paper proposes an optimization framework for ML TP PFC converters, taking the power stage, thermal, DM filter, and magnetic designs, as well as practical design considerations, into account to determine the voltage-levels and switching frequency that minimize the power losses, cost and volume of the total system. To process output power of 3700W, the optimization tool suggests using a 4-Level GaN TP PFC topology switched at 45 kHz. The outcome of the tool has been compared with other fixed inductor current ripple designs, as well as optimized designs for 3-Level and 5-Level TP PFC converters in terms of cost, volume, and power losses. In accordance with the optimization results, a prototype of a 4L TP PFC rated at 3700 W is designed, which achieves a peak efficiency of 99.6% at 1 kW and> 99.1% efficiency under the full power range.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)47291-47303
Sayfa sayısı13
DergiIEEE Access
Hacim11
DOI'lar
Yayın durumuYayınlandı - 2023

Bibliyografik not

Publisher Copyright:
© 2013 IEEE.

Finansman

This work was supported in part by the H2020-MSCA-IF-2020 under Project 101031029, and in part by the 2232 International Fellowship for Outstanding Researchers Program of the Scientific and Technological Research Council of Turkey (TUBITAK) under Project 118C374.

FinansörlerFinansör numarası
H2020-MSCA-IF-2020101031029
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu118C374

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