A Bridgeless Cuk AC–DC Converter With Improved Efficiency and Uniform Current Stress Sharing
Bibliographic record
Abstract
This article introduces a new Cuk AC-DC converter featuring inherent power factor correction (PFC). The input rectifier of the proposed converter can be implemented using a single industry-standard full-bridge IGBT/MOSFET module, which, together with the proposed modulation scheme, eliminates the need for traditional diode-bridge rectification. The new topology offers both continuous input and output currents. Compared to its counterparts, the proposed converter requires fewer components, both active and passive. Additionally, when enabled by the proposed switching strategy, the active full-bridge in the converter provides two parallel switching paths for conduction currents during input inductor charging, a feature absent in the counterpart bridgeless Cuk rectifiers. This reduces the current stress on the input switches to only (iin+IO)/2, compared to (iin+IO) in conventional Cuk rectifiers, thereby alleviating excessive current stress on the switching devices and minimizing conduction losses. It also enhances current sharing among the switching devices and ensures uniform current stress across the switches throughout a line-frequency cycle. These advantages contribute to a more efficient converter design with better thermal management. Furthermore, the proposed converter outperforms conventional counterparts in terms of switching device power (SDP). A prototype circuit is fabricated and tested to verify the operational analysis of the topology. The converter proves to be an efficient onboard switch-mode battery charger circuit, showcasing an efficiency of 96.7%. The converter is suitable in particular for applications where the output DC voltage must be either higher or both lower and higher than the input AC voltage.
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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 | 0.001 |
| 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".