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Record W2591754684 · doi:10.4271/2017-01-1631

A Sensorless Control Solution for DCT Oil Pump with BLDC Motor

2017· article· en· W2591754684 on OpenAlexaff
Weizhe Qian, Henry Zhang

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2017
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsInfineon Technologies (Canada)
Fundersnot available
KeywordsControl theory (sociology)Oil pumpComputer scienceDiscrete cosine transformDC motorControl (management)Automotive engineeringControl engineeringEngineeringElectrical engineeringPetroleum engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Double Clutch Transmission system becomes more and more popular in vehicles because of the fuel saving performance, cost efficiency and comfortable feeling during gear change. To save fuel consumption and reduce CO2 emissions, pump can be driven by an electric motor for oil pressure on demand. This paper will introduce a technical solution for sensorless control of an electric pump motor used in a DCT system. Oil pressure control is fulfilled by a speed controller of the oil pump motor. Some critical control requirements for the pump motor are short and reliable start-up stage, stable and accurate speed control. This paper will elaborate on the difficulties of oil pump sensorless control, and how to solve these difficulties with minimum electronic hardware. Test results will be presented. In conclusion, the proposed sensorless control strategy can meet application requirements and meanwhile provide a cost-effective and motor parameters-independent control solution.</div></div>

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.227
Teacher spread0.216 · 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.

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".

Quick stats

Citations2
Published2017
Admission routes1
Has abstractyes

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