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Record W2798413171 · doi:10.1109/apec.2018.8341319

A general multi-phase coupled-resonant-tank resonant converter

2018· article· en· W2798413171 on OpenAlexaff
Hongliang Wang, Yang Chen, Yan‐Fei Liu, P.C. Sen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsResonant converterPhase (matter)Resonant inverterMaterials scienceResonant inductive couplingPhysicsElectrical engineeringConvertersEngineeringEngineering physicsVoltage

Abstract

fetched live from OpenAlex

A general multi-phase Coupled-Resonant-Tank (CRT) converter is proposed to achieve automatic current sharing. There are Y-style or Δ-style structures. The series inductor (or capacitor) of each phase are connected by a Coupled impedance which is inductor, capacitor or short-circuit. For easy understanding, a two-phase CRT LLC resonant converter is made as an example to analyze the current sharing performance. There are three types including eight topologies derived from CRT LLC converter. The coupled impedance of each phase can be instead of open-circuit, short-circuit and other inductor or capacitor. The Fundamental Harmonic Analysis (FHA) is utility to estimate the current sharing performance. A 600W, 12V two-phase LLC converter with short-circuit coupled impedance prototype is built. The prototype verified the feasibility and demonstrated advantages of the proposed concept.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.272
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

Study designSimulation or modeling
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

Citations14
Published2018
Admission routes1
Has abstractyes

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