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Record W2610715352 · doi:10.1109/pedes.2016.7914292

Concept study and feasibility analysis of current-fed power electronics for wireless power transfer system

2016· article· en· W2610715352 on OpenAlexaff
Suvendu Samanta, Akshay Kumar Rathore, Sanjib Kumar Sahoo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsMaximum power transfer theoremNetwork topologyWireless power transferElectrical engineeringConvertersCompensation (psychology)Power electronicsTopology (electrical circuits)Power (physics)InverterElectronic engineeringComputer scienceTransmitterBridge (graph theory)Current sourceWireless sensor networkWirelessEngineeringElectromagnetic coilCurrent (fluid)VoltageTelecommunicationsComputer networkChannel (broadcasting)Physics

Abstract

fetched live from OpenAlex

This paper studies and explores feasibility of wireless inductive power transfer (IPT) systems using current source inverter (CSI) topology for electric vehicle battery charging applications. Possible IPT systems with CSI topology includes current-fed push-pull, half-bridge and full-bridge converters. Also the possible compensation or resonant tank network at transmitter side is parallel LC or CCL type. Receiver side tank network is generally selected as series LC type to keep least number of components onboard. First, a brief overview of all possible IPT power supplies suitable for medium power applications is presented. This IPT topologies include series, parallel and several combinations of series-parallel compensation networks. Then a detailed study and comparison is presented for several current-fed IPT systems. Based on the study both the current-fed full-bridge and half-bridge topologies with CCL tank network provides performances suitable for higher power applications. A 1.2kW hardware prototype is developed and experimental results are presented to verify the comparative study results.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.260
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes1
Has abstractyes

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