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 interphaseLCoscillations 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.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".