A novel digital peak-current-mode self-sustained oscillating control (PCM-SSOC) technique for a Dual-Active Bridge DC/DC converter
Bibliographic record
Abstract
This paper presents a peak-current mode self-sustained oscillating control (SSOC) technique for a Dual-Active Bridge (DAB) DC/DC converter. The proposed control approach is able to significantly improve the performance of the bi-directional DAB DC/DC converter over a very wide range of operating conditions. Basically, the proposed PCM-SSOC scheme adaptively regulates the respective phase-shifts for each bridge, as well as the switching frequency of the converter for different operating conditions in order to achieve an optimal performance. In this control technique, the timing signal is produced based on the transformer primary current, which is a feedback to the control system to determine the switching instants of the power MOSFETs. Therefore, the control system automatically tunes the control variables for different operating conditions. Comprehensive mathematical analysis based on the geometric viewpoint of the control system of the proposed PCM-SSOC scheme is presented, which provides a very good insight into designing the control system. Experimental results provided from an experimental prototype confirm the superiority of the converter performance compared to the conventional fixed-frequency phase-shift control 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".