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A Novel Phase Shift Control for Single-Stage Bidirectional Isolated Totem-Pole AC/DC Onboard Electric Vehicle Chargers

2023· article· en· W4385232262 on OpenAlexaff
Jiaqi Yuan, Amirreza Poorfakhraei, Ali Emadi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTopology (electrical circuits)Power factorVoltagePower (physics)Computer sciencePhase (matter)Electronic engineeringElectrical engineeringControl theory (sociology)Control (management)EngineeringPhysics

Abstract

fetched live from OpenAlex

Single-stage onboard chargers (OBCs) integrate the two control functions traditionally implemented in two separate stages for power factor correction (PFC) and DC voltage regulation. This integration improves the power density of the system while increasing the control complexity. Traditional phase shift (PS) control, widely applied to two-stage OBCs due to its simplicity, is challenging for single-stage OBCs structure. This paper proposed a compact single-stage bidirectional isolated totempole AC/DC topology with inherent PFC. A novel sinusoidal phase shift control for the proposed topology is presented to achieve high efficiency of up to 96.9% with a high power factor and simple control implementation under a wide output voltage range. A 6 kW SiC-based high-frequency prototype with the global specification is designed. Experimental results verify the expected operation of the proposed structure.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

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 communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.249
Teacher spread0.230 · 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 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

Citations9
Published2023
Admission routes1
Has abstractyes

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