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Record W1994594801 · doi:10.4271/2012-01-0900

Mode Switching Control for Diesel Low Temperature Combustion with Fast Feedback Algorithms

2012· article· en· W1994594801 on OpenAlex

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

VenueSAE International Journal of Engines · 2012
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsFord Motor Company (Canada)University of Windsor
Fundersnot available
KeywordsMode (computer interface)CombustionDiesel fuelAutomotive engineeringControl theory (sociology)Temperature controlControl (management)Feedback controlComputer scienceAlgorithmMaterials scienceEnvironmental scienceEngineeringControl engineeringChemistryArtificial intelligence

Abstract

fetched live from OpenAlex

<div class="section abstract"><div class="htmlview paragraph">Low temperature combustion (LTC) in diesel engines can be enabled using a multitude of fuel injection strategies, coupled with the elevated use of exhaust gas recirculation and intake boost. The common modes of LTC include the single-injection LTC with heavy EGR and the homogeneous charge compression ignition (HCCI), implemented with multiple early-injections during the compression stroke. Previous research indicates that the single-injection LTC is more suitable at low engine loads while the HCCI combustion can be targeted towards mid-load operation. To extend the load range of the LTC cycles, there is an urgent need to enable switching on-the-fly between the two combustion modes. The mode-switching is complicated by the fact that the challenges of enabling and ensuring stable engine operation under these two LTC modes are notably different. Moreover, the LTC cycles are inherently more sensitive to small changes in the operating variables such as the combustion phasing and the intake dilution, and therefore, the combustion control system must be able to adequately respond to such disturbances on a cycle-by-cycle basis.</div><div class="htmlview paragraph">In this work, cylinder pressure measurement-based computation of combustion phasing and indicated mean effective pressure (IMEP), demonstrated in the authors' previous work for single-injection diesel LTC, has been used to enable and stabilize the LTC modes by precise control of single/multi-injection events. The IMEP estimation technique has been extended to modulate multiple fuel-injection events for dynamic load and stability control of HCCI combustion. A mode-switching algorithm is then proposed and demonstrated with engine tests, for enabling seamless transition between the two modes of LTC, by executing a pre-defined sequence triggered by an IMEP threshold, while pressure feedback-based control over individual injection events ensures the stability of the combustion. Representative results with controller gain modification indicate the possibility of controller tuning for improving the mode-switching time and transient performance. Modifications in the proposed algorithm are suggested to optimize the performance and enhance the robustness of the mode-switching process.</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.

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 score0.786
Threshold uncertainty score0.641

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 communication0.0000.001
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 head0.008
GPT teacher head0.258
Teacher spread0.250 · 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