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Record W2570400021 · doi:10.1109/iecon.2016.7793344

Design and research of a double-sided flux coupler in inductive power transfer system

2016· article· en· W2570400021 on OpenAlex
Wenjing Li, Jianghua Lu, Guorong Zhu, Wei Zhang, Jing Jiang

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 institutionsWestern University
Fundersnot available
KeywordsElectromagnetic coilMaximum power transfer theoremTransformerDelta-wye transformerFinite element methodElectrical engineeringEngineeringComputer sciencePower (physics)PhysicsCurrent transformerStructural engineeringVoltage

Abstract

fetched live from OpenAlex

Inductive Power Transfer (IPT) has proved its capability as a safe, convenient and efficient solution for electric vehicle (EV) charging systems through loosely coupled transformer. Transformer with double-sided windings is expected to be more compact and lightweight than transformer with single-sided windings. In this paper, a solenoid double D (SDD) coil is proposed to have a good interoperability with the double D (DD) coil and the unipolar coil. To ensure high power transfer efficiency, tolerance for different gap variation and horizontal misalignment conditions are investigated in IPT systems. A 3D finite element modeling tool, Maxwell, is used to simulate all the models presented in this paper.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.278
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.058
GPT teacher head0.277
Teacher spread0.219 · 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
Published2016
Admission routes1
Has abstractyes

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