Reduced Conduction Loss ZVS Control for Buck-Type Active Filter Operating as Decoupling Circuit
Bibliographic record
Abstract
Single-phase AC-DC converters are utilized in various applications such as electric vehicles (EVs), energy storages, or renewable energy systems. The injection of double-frequency power to the DC-side can diminish the lifespan of the battery or degrade the performance of the renewable energy source. To address this issue, large, unreliable electrolytic capacitors, or E-Caps, are employed as energy buffers. Implementing active filters to redirect double-frequency power away from the DC-side and reduce reliance on unreliable E-Caps presents a promising solution. Since active filters play a significant role in power exchange and contribute to the overall cost and size of the converter, they must be low-loss, compact, and cost-effective. This paper introduces a novel and easily implementable variable frequency control for a buck-type active filter, a topic widely explored in existing literature. Our proposed control method aims to reduce conduction losses and achieve Zero Voltage Switching (ZVS) across the majority of the operating range. These advancements significantly decrease losses, while ZVS allows for higher switching frequencies and the use of smaller magnetics, thereby improving volume and cost considerations. The paper includes analyses, designs, dynamic control strategies, simulations, and experimental results. Moreover, we compare the performance of our proposed control with existing methods.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".