Bibliographic record
Abstract
The proposed fuel cell (FC) simulator emulates the electrical dynamic behavior of FC stacks. This is achieved by controlling a near time optimal switching mode power supply (SMPS). The reference signal for the SMPS that represents the dynamic behavior of the FC is generated using a single low cost FC or a FC model whose dynamic characteristics are scaled up by the SMPS to emulate the FC stack. Most electrochemistry research in FC is conducted with single cells. The proposed FC simulator can use a state-of-the-art single cell to emulate the behavior of a FC stack in order to drive a real application. This approach prevents possible results that depart from reality due to modeling inaccuracies. It also leads to cost and time savings for FC systems development. A 150 mW single direct methanol fuel cell (DMFC) is used in this work. A near time optimal SMPS, as well as the user interface and communication which interconnects the computer, the single FC and the DSP which controls the SMPS is described in this paper. The output of the FC simulator is a scale up of the dynamic behavior of an actual single FC, thus emulating a FC stack. The proposed simulator can be used for the design and development of FC power electronics
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".