Analysis and Design of Series LC Partial-Resonance-Pulse-Based ZCS Current-Fed Push-Pull Converter
Bibliographic record
Abstract
This article analyzes a partial-resonance-pulse, created through a series LC resonant circuit, on the current-fed push-pull converter topology to achieve the zero-current-switching (ZCS) of the semiconductor switches. During switching overlap of the semiconductor switches, referred to as energy storage mode, the resonance occurs and offers the natural commutation of the semiconductor devices. During this period, the current is smoothly transferred from one switch to the other and the outgoing switch commutates naturally with ZCS. It solves the historical problem of the voltage spike across the devices at their turn-off and thus, eliminates the requirements of the snubber across switches or the clamping circuit. This reduces the hardware complexity and makes the converter snubberless, compact, and cost-effective. The variable frequency with constant switching overlap time is adopted for the load voltage regulation and to maintain the ZCS of the devices for a given range of source voltage and load current. A comprehensive study of the steady-state operation and analysis of the proposed topology is reported along with the design and selection of the resonant tank elements. A hardware proof-of-concept prototype rated at 500 W is developed and tested to validate the analysis and claims and demonstrate the converter performance. An efficiency of 96.2% is recorded in a laboratory on the prototype at full load.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".