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Record W2805188082 · doi:10.1109/tpel.2018.2843158

Ripple-Free Boost-Mode Power Supply Using Photonic Power Conversion

2018· article· en· W2805188082 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2018
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsBroadcom (Canada)University of Ottawa
Fundersnot available
KeywordsPhotonicsConvertersRippleEnergy conversion efficiencyDiodeElectrical engineeringPhysicsVoltageLaserPower (physics)OptoelectronicsMaterials scienceTopology (electrical circuits)OpticsEngineering

Abstract

fetched live from OpenAlex

Photonic power converters (PPCs) are a class of photovoltaic devices designed for efficient conversion of monochromatic (laser or LED) light to electricity. These devices are composed of multiple p-n junction diodes arranged in a tandem configuration and connected in series. They have reached high energy conversion efficiencies (70%) and areal power densities of 100 W/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . When these devices are illuminated with a high-efficiency diode laser, they can provide isolated dc-dc conversion from the laser voltage (<;2.3 V) to the open-circuit voltage of the PPC (1.2 to 23 V) with low capacitance and low conducted electromagnetic interference (EMI) compared to conventional switching power converters. The voltage conversion ratio is controlled by varying the number of p-n junctions in the PPC from 1 to 20 in demonstrated designs. In this paper, we demonstrate the use of photonic power conversion within two new applications. First, the laser/PPC unit is applied as a linear photonic boost converter, producing a regulated 12 V output stepped-up from a 3.3 V input to the control board. Output ripple is negligible as compared with a switching boost converter of similar size. Efficiency of this linear, regulated dc-dc conversion system was 12.7%, compared with a 77.6% reference switch-mode converter. Power density was 0.18 W/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> , compared with 1.5 W/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> for the reference. Relative to switch-mode power conversion, the photonic technology has lower efficiency and lower power density, but superior isolation and rejection of ripple and EMI. Both technologies are highly scalable. For the second application, the same unit is applied to power a 650-V SiC MOSFET gate driver requiring high galvanic isolation, demonstrating a 20 dB reduction in conducted-current EMI from the power circuit into the low-voltage control systems.

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.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.538
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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