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Record W4412081793 · doi:10.1109/tpel.2025.3586796

A Coupled Inductor High Step-Down Voltage Regulator Module With Zero Current Soft-Switching

2025· article· en· W4412081793 on OpenAlexaff
Behzad Soleymani, Omidreza Bagheri, Ehsan Adib, Suzan Eren

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2025
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsInductorRegulatorVoltage regulatorLow-dropout regulatorControl theory (sociology)VoltageCurrent (fluid)Zero (linguistics)Dropout voltageElectronic engineeringElectrical engineeringTopology (electrical circuits)EngineeringComputer scienceControl (management)Chemistry

Abstract

fetched live from OpenAlex

This paper presents a detailed analysis and design of a coupled inductor high step-down converter for 48V-bus data centers. The proposed converter maintains the simplicity and low component count of conventional converters while extending the duty cycle and enabling soft-switching conditions for the MOSFETs. The proposed adaptive frequency control method adjusts the switching frequency proportionally to the output current to achieve Zero Current Switching (ZCS) at light loads, where VRMs operate the majority of the time. This frequency control method is compatible with state-of-the-art VRM controllers with adaptive on-time features. Furthermore, this converter is adaptable to interleaved structures with phase-shedding capability, enhancing transient performance and power density. Finally, this paper presents the steady-state analysis and experimental results of a 24W prototype.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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 teacher head, not a consensus.

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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