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Record W7133014366

1kW 10V to 400V converter for a solid oxide fuel cell

2007· dissertation· W7133014366 on OpenAlexfundno aff
Clarence Yu Cheng

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsnot available
FundersUniversity of TorontoNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsNetwork topologySolid oxide fuel cellWaveformPower (physics)Fuel cellsFunction (biology)Oxide
DOInot available

Abstract

fetched live from OpenAlex

A new industry solid oxide fuel cell outputs 10V instead of 25V at 5kW, the power level intended for residential use. A 5kW 10V to 400V converter is designed using a simple cost-efficiency optimized approach. Power loss is modeled based on ideal waveforms allowing independent optimization for each component. Four topologies are analysed at a switching frequency of 20kHz and $0.9CDN per Watt: the voltage-fed H-bridge and push-pull prove to have a much lower cost function than their current-fed forms. A 1kW voltage-fed H-bridge prototype is built, working up to 417W output with 86.3% efficiency and 292V output. Projections to the desired 1kW load indicate the converter would output 350V with 89% efficiency. A conservative estimate for the cost of the high volume production of the prototype was sim;$153 USD. The estimate for the high-volume production of the 5kW unit was sim;$115 USD/kW.

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: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.002

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 head0.013
GPT teacher head0.337
Teacher spread0.323 · 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
GenreOther

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

Citations0
Published2007
Admission routes1
Has abstractyes

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