A Building Block IC for Designing Emerging Hybrid and Multilevel Converters
Bibliographic record
Abstract
This paper introduces a practical power management integrated circuit (IC) building block, i.e., IC module, which enables the implementation of various emerging hybrid and multilevel power converter topologies in low-power highfrequency applications, operating at switching frequencies up to 10 MHz. Compared to conventional buckand boost-based topologies, the emerging multilevel and hybrid converters offer significant volume reduction and power processing efficiency improvements. These key factors are significant contributions for modern portable and/or small footprint electronics devices, where size is of great concern. The IC building block (ICBB) consists of two segmented half bridges as well as all the elements needed for implementing mixed-signal current programmed mode (CPM) control. Mixed-signal CPM compatibility coupled with a segmented power stage not only provide inherent current protection and simple controller implementation but also allows for dynamic efficiency optimization. Operation at high-switching frequencies and simple modular design with ICBB are enabled through the development of novel architectures for key functional blocks of the ICBB and a cost-effective solution for level shifting, providing communication between external control signals and module inputs. For example, solutions for high-frequency low-power current sensing and fast digital-to-analog conversion are introduced as well as a capacitive coupling and coding schemes for data transfer. Several identical custom-designed ICBB modules are fabricated in the 0.13-μm CMOS process, each providing up to 2 W of output power, while operating at a switching frequency of up to 10 MHz. The versatility and proper functionality of these modules are verified through simulation and experimental results.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".