Design and control of isolated current‐fed DC–DC converters for fuel cell stacks EIS incorporating wide‐frequency‐range of perturbations
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Bibliographic record
Abstract
Abstract Electrochemical impedance spectroscopy (EIS) performed by power converters makes in situ diagnostics possible for fuel cell stacks (FCS) in end applications without displacing and dismantling the stack. Previously published solutions, however, fall short of adequately generating a wide frequency range of perturbations covering all internal information of an FCS. The practical challenges and limitations of achieving converter generated perturbations at various frequencies are revealed in this paper. The high‐end frequencies are constrained by the converter control bandwidth, whereas the low‐end ones may cause significant ripples on the converter output. To address these issues, this paper proposes the use of isolated current‐fed DC–DC converters for the design of an FCS power converter considering the output characteristics of the FCS operating at desired conditions and incorporating wide‐frequency‐range of EIS perturbations. Moreover, the oscillations resulting from EIS operations are tackled by properly guiding them from the load side to a primary side energy storage. A fuel‐cell‐dedicated power conditioning converter capable of presenting a wide‐range frequencies of EIS perturbations is thus achieved. A design case is presented, and its simulation and experimental results verify the effectiveness of the proposed solution.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it