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Record W4378194970 · doi:10.1109/tte.2023.3280063

Modular Voltage Equalizer Circuit With AC-Bus Inter-Modules Connection

2023· article· en· W4378194970 on OpenAlexafffund
Nasim Hasanpour, Mohammad Reza Mohammadi, Atrin Tavakoli, S. Ali Khajehoddin

Bibliographic record

VenueIEEE Transactions on Transportation Electrification · 2023
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsModular designConnection (principal bundle)EqualizerComputer scienceVoltageElectrical engineeringElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

A modular multilayer voltage equalizer with a distributed controller is proposed to equalize the voltage of series-connected energy storage cells. In the cell-level equalizer, every two cells are connected in series through a module, and in the module-level equalizer, all modules are connected through the ac bus established with the transformer’s secondary side windings. As the module-level equalizer topology is an ac fully coupled structure, based on the proposed controller method, all cells can transfer or receive energy in a switching cycle simultaneously. The implemented distributed controller requires only one voltage sensor per two cells, and each module benefits from using only one switch without the need for current feedback. Therefore, this method has fewer components than the existing methods with similar features and prevents increasing component rates, as the number of battery cells increases. The proposed circuit is comprehensively analyzed, and its feasibility is verified by experimental 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 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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.793
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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.

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

Citations12
Published2023
Admission routes2
Has abstractyes

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