Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

High-Efficiency Soft-Switching Technique for a Cascaded Buck-Boost Converter Based on Model Predictive Control Using GaN Devices

Authors
Liu, LiDai, JialiangLee, JuKang, SeonheuiJin, Changsung
Issue Date
Nov-2025
Publisher
MDPI AG
Keywords
cascaded buck boost converter; model predictive control(MPC); soft switching; high efficiency
Citation
Electronics (Basel), v.14, no.22, pp 1 - 16
Pages
16
Indexed
SCIE
SCOPUS
Journal Title
Electronics (Basel)
Volume
14
Number
22
Start Page
1
End Page
16
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209887
DOI
10.3390/electronics14224499
ISSN
2079-9292
2079-9292
Abstract
Improving the efficiency of buck-boost converters has long been a major focus in power electronics. To enhance efficiency and overcome existing limitations, this paper proposes a soft-switching technique for a cascaded buck-boost converter (CBBC). The proposed approach integrates high-frequency switching of four gallium nitride (GaN) devices, improving both dynamic and steady-state performance from hardware and control perspectives. First, a soft-switching modulation scheme based on negative-current pulse width modulation (PWM) is implemented by introducing a new switching sequence in the CBBC, controlled by a modulation variable. This scheme ensures that the GaN switches operate under zero-current switching (ZCS) and zero-voltage switching (ZVS) conditions during transitions. Furthermore, the CBBC operating modes are divided into four intervals for modeling and analysis, upon which a model predictive control (MPC) strategy is developed to achieve fast closed-loop regulation of both output voltage and current. To further minimize current ripple and device losses, the MPC cost function is optimized by constraining the control parameters. Experimental results obtained from a 300-W hardware prototype verify the effectiveness and feasibility of the proposed soft-switching control method.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 전기공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Ju photo

Lee, Ju
COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE