Single-Stage Single-Phase Isolated Full-Bridge Buck–Boost DC–AC Inverters
Bibliographic record
Abstract
This article presents a simple high-frequency transformer (HFT) isolated buck–boost inverter designed for single-phase applications. The proposed HFT isolated inverter, with its full-bridge buck–boost topology, provides a wider voltage regulation range. It can efficiently step up or step down the input voltage to achieve the desired output ac voltage. It provides galvanic isolation between the input and output sides. This feature ensures safety and compatibility with applications that require isolation, such as renewable energy systems and electric vehicle charging. It utilizes a solitary output inductor, an HFT for isolation, and ensures that only one switch is switching at a high frequency at a time. This novel inverter design obviates the requirements for a 50/60 Hz low-frequency transformer, consequently enhancing the power density. To validate the theoretical findings, an experimental prototype of the proposed inverter with output voltage ac voltage of peak 155.5 V, line frequency 60 Hz, and an output power of 0.5 kW is implemented. Extensive experimental tests are conducted under various operating conditions. The experimental results validate the theoretical analysis and confirm the practical viability and effectiveness of the proposed topology.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".