An Equivalent Circuit Method for Modeling and Simulation of Dual Active Bridge Converter Based Marine Distribution System
Bibliographic record
Abstract
The dual active bridge (DAB) converter is a core component for various types of power conversions in marine distribution systems. Real-time simulation and hardware-in-the-loop (HIL) testing is helpful for validating the complex control of the DAB based shipboard electrical systems. Due to high operating frequencies of the transformer in DAB converters, the full detailed or average DAB models are not suitable for real-time simulation that requires very small time-steps (a few microseconds to sub-microseconds). In this paper, a DAB model using an equivalent circuit method is proposed for real-time simulation. The equivalent circuit of the DAB converter is represented by mathematical equations, which can be implemented in CPUs or field-programmable gate array (FPGA) and solved in parallel to achieve real-time performance. The proposed modeling method can be applied to different types of power converters that adopt DABs for the dc-dc conversion stage. The accuracy of the model is validated by comparison with the detailed model built in Simscape Power Systems (SPS) Specialized Technology.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".