MétaCan
Menu
Back to cohort
Record W2918294157 · doi:10.1109/repe.2018.8657482

Wireless Flywheel-Based Fast Charging Station (WFFCS)

2018· article· en· W2918294157 on OpenAlexaff
Abul Hasan Fahad, Hossam A. Gabbar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsFlywheelWireless power transferWirelessMaximum power transfer theoremSoftware deploymentFlywheel energy storageAutomotive engineeringComputer scienceInductive chargingEnergy storagePower (physics)Electric vehicleElectrical engineeringEngineeringTelecommunications

Abstract

fetched live from OpenAlex

To facilitate mass adoption of Electric Vehicles (EVs), fast charging facility deployment is one of the crucial tasks. Flywheel-based Fast Charging Station (FFCS) can be useful in this regard. Flywheel Energy Storage System has advantage of having high power capacity, short access time, long lifetime (cycles), low maintenance effort, high efficiency, and small environmental impacts. Another emerging technology in EV Charging is Wireless power transfer (WPT) or Inductive Power Transfer (IPT). This technology can facilitate static and in-motion charging of electrified transportation. In this paper, FFCS and WPT systems are presented separately with associated control schemes. Lastly a design of Wireless FFCS (WFFCS) has been proposed and implementation challenges are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.661
Threshold uncertainty score0.824

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)0.0000.001

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 head0.208
Teacher spread0.199 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicWireless Power Transfer SystemsFrench-language works237,207