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Comparative Study of Self-Compensated Coil Geometries for Wireless Power Transfer System

2023· article· en· W4386630701 on OpenAlex
Neda Zahedi, Qingsong Wang, Ambrish Chandra

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 institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsWireless power transferElectromagnetic coilComputer scienceWirelessPower (physics)Electrical engineeringElectronic engineeringPhysicsEngineeringTelecommunications

Abstract

fetched live from OpenAlex

Self-resonant wireless power transfer (WPT) system can achieve high reliability due to the elimination of physical compensation capacitors. Planar coils that have parasitic capacitance between adjacent layers are ideal candidates for self-resonant WPT systems, and the coil geometry has a significant influence on the performance of WPT system. This paper studies and compares three typical coil geometries, namely circular, square, and hexagonal coils. The mutual inductance, coupling coefficient, magnetic field of coils, ac resistance, output power, and efficiency have been calculated and compared using finite element method. Simulation results show that hexagonal planar coil can transfer the largest power and has the highest efficiency.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
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
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.244
Teacher spread0.221 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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