Active Damping of <i>LC</i> Interphase Dynamics in Automotive 48-V Series-Capacitor Buck Converters
Bibliographic record
Abstract
This paper presents a 4:1 Series-Capacitor Buck (SCB) converter designed for automotive 48-V-to-0.8V applications, targeting improved transient response under rapid input voltage variations. The proposed design addresses the inherent interphase <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">LC</i> oscillations in hybrid dc-dc converters through a novel dynamic flying-capacitor voltage tracking technique. Unlike conventional methods, this approach employs dual flyingcapacitor voltage regulators to dynamically adjust per-phase current commands, ensuring accurate current balancing and robust stability across a wide operating range. A comprehensive small-signal model is developed and analysed to accurately capture and optimise the converter dynamics. Simulations indicate significant reductions in peak inductor currents during input transients. Experimental validation using a 62.5-A, 200-kHz prototype demonstrates a 4× reduction in flying-capacitor voltage settling time to 600 μs under fast input voltage transients. The proposed solution meets strict automotive reliability and performance requirements under rapid input-transient conditions, demonstrating improved overall transient response and enhanced system robustness.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".