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Record W2058653106 · doi:10.1109/ispsd.2014.6856063

A cell-level power management IC in BCD-SOI for partial power processing in Concentrating-PV systems

2014· article· en· W2058653106 on OpenAlexafffund
Mohammad Shawkat Zaman, Yue Wen, Rubens de Andrade Fernandes, Berry Buter, T.S. Doorn, Marcel Dijkstra, Henk Jan Bergveld, Olivier Trescases

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBoost converterSwitched-mode power supplyElectronic engineeringConvertersBuck converterElectrical engineeringPower factorPower (physics)Computer scienceVoltageEngineeringPhysics

Abstract

fetched live from OpenAlex

This work presents a power management IC used to mitigate the effects of mismatch in Concentrating-Photovoltaic (CPV) systems. The IC contains a bi-directional dc-dc converter, an auxiliary boost converter to generate the internal 10 V power supply, as well as protection and monitoring circuits. The main power converter, with a maximum current rating of 1.5 A, is designed to equalize the voltage between neighbouring CPV cells by using the Δ-converter approach. Due to partial power processing, the converter's power rating and efficiency requirements are relaxed, leading to a more cost-effective solution with a high switching frequency of 3.6 MHz. An on-chip, mixed-signal controller regulates the main converter using a digital voltage loop and an analog hysteretic current-mode loop. The IC has several advanced features to reduce the light-load power consumption, including burst-mode operation in both the auxiliary and main-stage converters, as well as an input supply switching scheme for the internal linear voltage regulators.

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)0.001
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 score0.943
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.017
GPT teacher head0.251
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.

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
Published2014
Admission routes2
Has abstractyes

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