A Fully Flexible Valve Actuation System for Internal Combustion Engines
Bibliographic record
Abstract
The automotive industry has been under continued pressure to improve fuel efficiency because of air pollution, global warming, and rising gasoline prices. One technology to address this need is electronic valve timing. It promises to achieve fuel savings of 10%-15% by reducing pumping losses, introducing cylinder deactivation, and enabling new combustion strategies, like homogeneous charge compression ignition. To date, valve actuators for this application primarily rely on resonant spring arrangements to achieve the necessary dynamics. This leads to a fixed amplitude of the valve trajectory and only allows for variable valve timing. In this paper, a fully flexible valve actuation system for intake valves is introduced that provides variable lift in addition to variable timing, without reducing valve dynamics or energy efficiency. Optimization procedures for the mechanical system, the servo motor selection, and the valve trajectory are presented. The combined effect of these optimizations leads to valve accelerations that are an order of magnitude higher than conventional electric servo systems. Simulations and an experimental test bed are used to validate the system performance. A comparison with other electronic valve actuation systems confirms the excellent performance of this approach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".