Adaptive switching frequency scaling digital controller for improving efficiency of battery powered dc-dc converters
Bibliographic record
Abstract
This paper introduces a practical system for improving efficiency of low power dc-dc converters regulated by digital voltage-mode PWM controllers. Depending on the input voltage, the controller adaptively changes the switching frequency, thus minimizing related losses while maintaining tight output voltage regulation and constraining electromagnetic interference (EMI) caused by the variable frequency operation. The presented architecture, whose key new element is alldigital adaptive clock and spread spectrum generator, can be implemented in the latest CMOS technologies and, as such, is well-suited for on-chip integration in portable battery-powered applications. The effectiveness of the system is verified with a 2.1 V/ 5 W buck prototype, where the input voltage ranges between 2.75 V and 5.5 V. The results show that, for an adaptive frequency regulation in the range between 780 kHz and 2 MHz, loss reduction of up to 18% is achieved.
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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 | 0.001 |
| 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".