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Record W2083164036 · doi:10.1109/ispsd.2014.6856012

A segmented output stage H-bridge IC with tunable gate driver

2014· article· en· W2083164036 on OpenAlexafffund
Janice Yu, William Zhang, Wai Tung Ng

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAnalog and Mixed-Signal Circuit Design
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGate driverTransistorRingingH bridgeEMIPower (physics)Logic gateElectrical engineeringChipEngineeringElectronic engineeringComputer scienceElectromagnetic interferenceVoltagePhysicsInverter

Abstract

fetched live from OpenAlex

In this paper, an integrated EDMOS H-bridge that incorporates both segmented output transistors and segmented gate drivers is presented. This fully segmented design approach allows the output resistance of the H-bridge and the output resistance of the gate drivers to be dynamically adjusted. Dynamic adjustment of these parameters allows for the continuous optimization of the power conversion efficiency of the H-bridge over a wide range of output currents. The IC chip is fabricated using TSMC's 0.18 μm BCD Gen-2 process technology. The H-bridge is operated with a 10 V input, 2 V output and a load current between 0.02 A and 4 A. The presented design achieves power conversion efficiency improvements of 32% and 8% at light load current and heavy load current, respectively, when compared to traditional fixed power transistor designs. Furthermore, the dynamically adjustable output resistance of the gate drivers allows for suppression of switching node ringing and conducted EMI (CEMI) by 5.5 dB with no a significant reduction in efficiency.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.596

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 head0.181
Teacher spread0.169 · 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 designNot applicable
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
Published2014
Admission routes2
Has abstractyes

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