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Record W4414693350 · doi:10.1109/jestpe.2025.3616602

A Half-Bridge Single-Stage AC–DC Converter With Single- and Three-Phase Compatibility

2025· article· en· W4414693350 on OpenAlexaff
Ba Phu, Million Gerado Geda, Huu-Phuc Kieu, Sewan Choi

Bibliographic record

VenueIEEE Journal of Emerging and Selected Topics in Power Electronics · 2025
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsNexen (Canada)
FundersNational Research Foundation of Korea
KeywordsRippleCapacitorTotal harmonic distortionDecoupling (probability)VoltageFilter capacitorGalvanic isolationInductorDecoupling capacitorForward converter

Abstract

fetched live from OpenAlex

This paper presents a single-stage AC–DC converter based on a dual-active half-bridge topology, supporting both single-phase and three-phase operation. The proposed architecture employs three interleaved totem-pole legs on the AC side and three half-bridge legs with split capacitors on the DC side, reducing the switch count compared to the previous full-bridge approach. The converter achieves full zero-voltage switching (ZVS) for all switches in continuous conduction mode (CCM) and zero-current switching (ZCS) for DC-side switches in discontinuous conduction mode (DCM). For single-phase operation, an integrated split-capacitor-type active power decoupling circuit eliminates the second-harmonic ripple in the DC charging current without additional components. To validate the concept, an 11-kW laboratory prototype was developed and tested under both single-phase (220 Vac) and three-phase (380 Vac) inputs, with battery voltages ranging from 400 Vdcto 800 Vdc. Experimental results show peak efficiencies of 96.85%, Experimental results demonstrate a peak efficiency of 96.85%, grid current total harmonic distortion (THD) below 3%, and a power density of 2.7 kW/L.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.252
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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