PEM Fuel Cells Modeling and Analysis Through Current and Voltage Transient Behaviors
Bibliographic record
Abstract
In the last 15 years, polymer electrolyte membrane (PEM) fuel cells have received much attention, mostly through experimental and empirical studies in scientific and industrial research. In most of the works, attention has been given to the steady state analysis of the PEM fuel cells. However, considerable efforts still need to be done to explain different transient behaviors of PEM fuel cells. This paper presents an analysis of the double layer charging effect and reactant diffusion through the cathode gas diffusion layer on voltage transients after sudden current variations. These transient phenomena have typical time durations of less than 5 s. The double layer charging dynamic explains the main voltage transient behaviors when the cathode inlet pressure is constant. In this case, a bicriteria optimization procedure is proposed for numerical characterization of the double-layer charging capacitance. When the air pressure is variable, a pseudo 2-D modeling of oxygen diffusion through the cathode gas diffusion layers, based on the Stephan–Maxwell multicomponent diffusion equations, is used to explain its contribution to the voltage transient overshoots/undershoots.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".