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Adaptive Hysteresis Comparison Control of Load Sharing for Three-Phase Interleaved SCC-LLC Converter

2020· article· en· W3037886586 on OpenAlexaff
Bo Sheng, Xiang Zhou, Wenbo Liu, Andrew Yurek, Chen Yang, Yan‐Fei Liu, P.C. Sen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsConvertersCapacitorController (irrigation)MicrocontrollerHysteresisPower (physics)Load sharingComponent (thermodynamics)Digital controlComputer scienceThree-phaseControl theory (sociology)Phase (matter)Scheme (mathematics)Electronic engineeringControl (management)Electrical engineeringEngineeringVoltagePhysics

Abstract

fetched live from OpenAlex

It is desirable to connect several LLC converters in parallel in high-power and/or high-current applications. However, component tolerance among resonant tank of different phases causes severe unbalanced load sharing, leading to performance degrading. In this paper, full-wave Switch-Controlled Capacitor (SCC) is added into resonant tank to compensate component tolerance and to achieve load sharing. An adaptive hysteresis comparison control scheme is proposed to adjust SCC angle α for current sharing. The proposed control strategy only occupies few digital controller resources; thus, low-cost Micro-Controller Unit (MCU) can be used. Experimental results of a 250V - 430V input, 14V/260A/3.6kW output, three-phase interleaved SCC-LLC EV DC-DC converter demonstrate the effectiveness and feasibility of the proposed method.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.041
GPT teacher head0.271
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 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

Citations5
Published2020
Admission routes1
Has abstractyes

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