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Record W2947255877 · doi:10.1109/apec.2019.8721828

Power Adapter with Line Voltage Control for USB Power Delivery

2019· article· en· W2947255877 on OpenAlexaff
Yang Chen, Yan‐Fei Liu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsAC adapterElectrical engineeringConvertersUSBEMIElectromagnetic interferenceSwitched-mode power supplyCommutation cellVoltageFlyback transformerPower densityPower moduleHigh voltageElectronic engineeringEngineeringPower (physics)Computer scienceTransformerPhysicsConstant power circuit

Abstract

fetched live from OpenAlex

The demand for high-power-density high-efficiency power adapters is increasing due to the wide adopt of the USB Power Delivery as the charging protocol in consumer electronics. Flyback converters have conventionally prevailed for such applications. To further improve the power density of power adapters, an increase in switching frequency is required. However, this will increase the burden of the EMI filter, and the heat will be difficult to manage as the loss increases when size is reduced. Resonant converters have long been used for high frequency applications due to the easily-implemented soft switching and low current stresses. With the development of faster switching devices and new ferrites, the switching frequency of resonant converters is pushed as high as megahertz with acceptable thermal performance. In this paper, a series resonant converter is combined with the proposed line voltage control circuit to accommodate both the 120 VAC and the 220 VAC lines, as well as the wide output voltage range from 5 V to 20 V required by the USB Power Delivery. In the 60 W prototype, peak 94% efficiency is achieved at 1 MHz operation enabled by a budget MCU.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
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)0.0010.000

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 head0.003
GPT teacher head0.177
Teacher spread0.173 · 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 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

Citations4
Published2019
Admission routes1
Has abstractyes

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