Charge-Based Hysteretic Control for Multi-Phase DC-DC Resonant Converters with Interleaved Operation and Fast Transient Response
Bibliographic record
Abstract
Multi-phase resonant converters are well-suited for high-efficiency, power-dense applications such as battery charging. This paper introduces a novel charge-based hysteretic control scheme that enables fast transient response and inherent interleaving in multi-phase dc-dc LLC converters. Unlike prior methods, the proposed approach enforces a predetermined multiphase switching sequence that constrains transitions to a periodic state path in which only one phase switches at a time, achieving stable interleaved operation without active phase shift logic. Simulations show a 53 % reduction in settling time under lightload conditions, with complete elimination of overshoot compared to fixed-frequency control. A 3 kW, 400 V three-phase LLC prototype confirms these results experimentally, demonstrating a 6 A shift in operating current from a 17 V hysteresis band adjustment, with steady state reached within three switching cycles. This performance, driven by the nonlinear dynamics of hysteretic control, highlights the scheme's potential for scalable, powerdense architectures in demanding fast-transient applications.
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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".