Analysis and Design of an Isolated Converter with Embedded EIS Function for Fuel Cell Stack Considering Low-Frequency Oscillations
Bibliographic record
Abstract
This paper presents the analysis and design of an isolated dc-dc power conditioning converter (PCC) for use with a fuel cell stack (FCS) incorporating the function of online electrochemical impedance spectroscopy (EIS). The converter is designed considering the output characteristics of the FCS. The challenge of producing full-frequency-range perturbations with PCC based EIS is highlighted, where a focus of this work is related to the low-frequency perturbation generation and resolving the oscillations introduced by it. The oscillations propagated to the dc bus and load can cause severe disturbances in a vehicle powertrain. The problem is effectively tackled by guiding the oscillations from the load side to the primary side energy storage (PSES) with the designed PCC and its control. A detailed design case and its simulation results are presented to demonstrate the validity of the proposed approach.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".