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Record W2990207295 · doi:10.23919/epe.2019.8915022

Efficiency improvement of a wireless power transfer system using a receiver side voltage doubling rectifier

2019· article· en· W2990207295 on OpenAlex
Mehanathan Pathmanathan, S. Nie, Netan Yakop, Peter W. Lehn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWireless power transferRectifier (neural networks)Voltage doublerTransmitterElectrical engineeringElectromagnetic coilVoltageElectronic engineeringEngineeringComputer scienceVoltage dividerChannel (broadcasting)Dropout voltage

Abstract

fetched live from OpenAlex

This paper proposes the implementation of a receiver-side voltage doubler into a WPT (wireless power transfer) charging system to reduce the transmitter currents at the cost of increased receiver current for a fixed power transfer level. For a WPT system with a multi-coil transmitter and simple receiver, this results in an efficiency improvement due to the overall reduction in copper losses. A WPT system with a three-coil transmitter and single coil receiver is investigated, and up to a 13% system coil efficiency improvement was obtained from simulations for 3.3 kW output power with a receiver-side voltage doubler compared to if a standard full-bridge rectifier was used. Experimental results were then obtained for a reduced scale 1 kW WPT system using a voltage doubler, validating the performance of the applied models.

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.

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 score0.260
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.009
GPT teacher head0.196
Teacher spread0.188 · 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

Quick stats

Citations8
Published2019
Admission routes1
Has abstractyes

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