A SEPIC-Based Transformer-Less Buck-Boost Inverter with Continuous Input Current
Bibliographic record
Abstract
A SEPIC-based single-phase DC-AC inverter is proposed, where the Single-Ended Primary Inductor Converter serves as the front-end to achieve integrated buck-boost regulation within a unified single-stage architecture. The design eliminates the need for isolated magnetics or multi-stage conversion, enabling a compact and efficient transformer-less implementation. A continuous input current is maintained, significantly reducing electromagnetic interference (EMI) and enhancing overall system stability. The input side (DC) and the output side (AC) are the common-ground connection effectively suppresses leakage current and common-mode voltage, improving safety and simplifying system grounding. The inverter employs five power switches, with one operating under constant PWM control and the other four modulated using unipolar SPWM to enable symmetrical AC waveform generation with negligible DC injection. Compared to conventional topologies, the proposed inverter accommodates significant variations in input voltage, imposes less electrical stress on switching components, and requires a reduced component count. These features make it particularly well-suited for renewable energy applications involving low-voltage DC sources, such as battery storage or fuel cell systems.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".