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Record W2989771901 · doi:10.1109/ecce.2019.8913273

An Integrated PV-Battery Soft-switched Power Converter with MPPT and Voltage Regulation

2019· article· en· W2989771901 on OpenAlexaff
Sanjida Moury, John Lam

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsYork University
Fundersnot available
KeywordsBattery (electricity)Maximum power point trackingPhotovoltaic systemElectrical engineeringVoltageAutomotive batteryPower (physics)Computer scienceTrickle chargingBoost converterAutomotive engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

In this paper, a front end integrated decentralized storage interface for photovoltaic (PV) battery systems is presented. Therefore, the battery charging power is directed to the battery from the front end, instead of the centralized battery system where the battery charging power processes twice. In the proposed approach, the battery charging circuit is integrated with the PV converter. Therefore, the proposed system can become more compact. The proposed converter is capable of tracking Maximum Power Point (MPP) and output voltage regulation while following the battery charging profile. In addition, all the switches are able to achieve soft-switching turn-on and turn-off for different load conditions. Simulation and experimental results for 100W are presented on the proposed integrated solar-battery system.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.223
Teacher spread0.217 · 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
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".

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Citations4
Published2019
Admission routes1
Has abstractyes

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