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Record W2144922957 · doi:10.1109/apec.2008.4522697

A Simple Analytical Switching Loss Model for Buck Voltage Regulators

2008· article· en· W2144922957 on OpenAlex
Wilson Eberle, Zhiliang Zhang, Yan‐Fei Liu, P.C. Sen

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsInductanceSpiceVoltageControl theory (sociology)Voltage regulatorVoltage sourceLow-dropout regulatorRangingBuck converterWaveformDropout voltageComputer scienceElectronic engineeringEngineeringElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

In this paper, a simple and accurate analytical switching loss model is proposed for high frequency synchronous buck voltage regulators. The proposed model uses simple equations to calculate the rise and fall times and uses piecewise linear approximations of the high side MOSFET voltage and current waveforms to allow quick and accurate calculation of switching loss in a synchronous buck voltage regulator. Effects of the common source inductance and other circuit parasitic inductances are included. Spice simulations are used to demonstrate the accuracy of the voltage source driver model operating in a 1 MHz synchronous buck voltage regulator at 12 V input, 1.3 V output. Switching loss was estimated with the proposed model and measured with Spice for load current ranging from 10-30 A, common source inductance ranging from 250-1000 pH, voltage driver supply ranging from 6-12 V.

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 categoriesnone
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 score0.850
Threshold uncertainty score0.599

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 head0.019
GPT teacher head0.242
Teacher spread0.223 · 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

Quick stats

Citations27
Published2008
Admission routes1
Has abstractyes

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