DAB-based Energy Storage System with Flexible Voltage Configuration and Extended Power Capability
Bibliographic record
Abstract
Product developments and requirements for wide operational voltage range of bidirectional power converters represent a technical challenge. To overcome the limitations of the current state-of-the-art, the proposed DAB-based converter topology employs a switch combination for parallel-series bridges configuration. The switching nodes of the low-voltage (LV) bridges are separately connected at the two transformer terminals. The dc ports of the two LV-bridges are interconnected through a switch interface which allows them to operate in a parallel-series fashion. The DAB-based converter with the switch interface doubles the voltage utilization range, which enables a broad range of applications for batteries (e.g., 48-V, 120-V). The MOSFET power devices within the DAB-based converter are used within their safe operation specification, while the proposed architecture allows flexible voltage configuration for different types of batteries. Furthermore, the proposed DAB-based converter extends the power capability of the converter to advantageously facilitate applications for energy storage systems (ESS). The experimental results have been performed using a 5kW nominal power DAB-based converter with silicon carbide (SiC) and silicon power MOSFET devices.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".