A Sensorless Feedforward Balancing Compensator for Improved Interphase Dynamics in Auxiliary-Assisted Dual-Inductor-Hybrid Converters
Bibliographic record
Abstract
Hybrid Switched-Capacitor (SC) converters are well-suited for space-critical 48V automotive applications due to their high power density, however, the fast transient response necessary for the stringent regulation requirements of CPU core voltages remains a challenge. A Dual-Inductor Hybrid (DIH) dc-dc converter with a flying-capacitor-tapped auxiliary stage was proposed to improve the load transient response, however, the converter output and DIH interphase dynamics become coupled. This paper presents a sensorless feedforward compensation scheme for improving the interphase dynamics in the 48V-to-1V auxiliary-assisted DIH converter. The proposed scheme extracts the auxiliary duty cycle and adjusts the duration of the DIH switching states to reduce the balancing time of the interphase dynamics. A small-signal model of the auxiliary-assisted DIH converter is proposed and validated with simulation results to analyze the closed-loop stability of the proposed technique. Experimental results demonstrate that the feedforward compensation scheme reduces the settling time of the interphase dynamics by 65% while eliminating the use of an external sensor for active balancing in the auxiliary-assisted DIH converter.
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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 | 0.000 |
| 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) | 0.000 | 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".