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Record W4391791528 · doi:10.1109/tpel.2024.3364233

A Multi-Mode Full-Bridge/Modified-Stacked- Switches Structured CLLC Resonant Converter for Energy Storage Applications

2024· article· en· W4391791528 on OpenAlexafffund
Reza Emamalipour, John Lam

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMode (computer interface)Bridge (graph theory)Resonant converterEnergy storageMaterials scienceEnergy (signal processing)Half bridgeElectrical engineeringElectronic engineeringEngineeringComputer scienceCapacitorConvertersPhysicsVoltagePower (physics)

Abstract

fetched live from OpenAlex

In this article, a new full-bridge/modified-stackedswitches multi-mode CLLC isolated resonant converter is presented for energy storage applications. In particular, a multimode wide voltage gain control system is proposed, which takes advantage of the topology reconfiguration method in both the inverter and the rectifier blocks in the proposed circuit to regulate the output voltage while preventing the switching frequency from drifting away far from the resonant frequency. The impact of the parasitic elements in the isolated CLLC resonant circuit is also investigated in this paper. In addition, a smooth mode transition is provided to avoid any transients caused by a rapid frequency change. The operating principles of the control system is analyzed extensively. Compared with the traditional Pulse-Frequency Modulated (PFM) resonant converters, the proposed control system attains enhanced efficiency even at extremely low voltage gains while sustaining a nearly consistent high-efficiency profile. Furthermore, it mitigates voltage regulation instability under light loads attributed to parasitic components by constraining the frequency spectrum. The proposed control system presents an appealing solution for high-voltage, high-power energy storage applications that demand a broad range of voltage gains and where the influence of switch R <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dsON</sub> is reduced due to the low current characteristics typical of these applications. Finally, a 500 W 100 V-350 V input, 96 V output prototype has been built to verify the performance of the proposed converter system.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.942
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
Bibliometrics0.0000.000
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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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

Citations14
Published2024
Admission routes2
Has abstractyes

Explore more

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