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Record W2173198620 · doi:10.4018/ijeoe.2015010103

Average Model of Dual Active Bridge Interfacing Ultra-Capacitor in Electrical Vehicle

2015· article· en· W2173198620 on OpenAlexaff
Mansour Amari, Jamel Ghouili, Faouzi Bacha

Bibliographic record

VenueInternational Journal of Energy Optimization and Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsInterfacingSmall-signal modelCapacitorVoltageTransient (computer programming)Duty cycleTransfer functionController (irrigation)Control theory (sociology)Charge pumpForward converterSIGNAL (programming language)Boost converterEngineeringComputer scienceElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

In this paper a new bidirectional DC-DC converter is proposed to transfer energy between ultra-capacitor and DC bus in electric vehicle. The work presents the average model of this converter. The last model is used to calculate the small signal and transient characteristics of the converter. The derived small signal model can be developed by the transfer function between the output voltage and the duty cycle. The PI controller is designed to regulate the output voltage at desired voltage in the closed loop under load and input voltage variations with a short time response.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score0.439

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)0.0000.000

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 head0.012
GPT teacher head0.210
Teacher spread0.198 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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