ZVS/ZCS Three-Winding Coupled Inductor Based Non-isolated Bidirectional DC-DC Converter with Ripples Elimination at High Current Port and MPPT of Photovoltaic Systems
Bibliographic record
Abstract
In this paper, a new non-isolated bidirectional dc-dc converter with zero voltage switching (ZVS) and zero current switching (ZCS) capability is proposed. The proposed converter not only increases the voltage gain, but also eliminates current ripples at the high current port by using a three-winding coupled inductor. Therefore, the proposed topology is suitable for transferring the photovoltaic (PV) generated power to the load, where the maximum power from PV can be extracted. In the proposed converter, the ZVS operation of two main switches is obtained by using auxiliary switches, while the auxiliary switch is tuned OFF under the ZCS state. The ZVS/ZCS operation of switches can be achieved by tuning parameters of the coupled inductor and the required overlapping time for the trigger pulses of main and auxiliary switches at the whole range of duty cycle (0<D<1). The proposed converter is analyzed theoretically and its performance is further validated by PSCAD/EMTDC simulation. Moreover, the maximum power point tracking (MPPT) simulation results are extracted for the PV, which is used as the input voltage source.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".