Real-Time Lifetime Estimation and Supervised Voltage Regulation of Flying Capacitors in a Three-Phase Four-Level Three-Capacitor Converter
Bibliographic record
Abstract
Three-phase four-level three-capacitor converter (3P4L3C) employs a single flying capacitor per phase, eliminating redundant switching states. However, this topology presents a significant challenge in capacitor voltage regulation, as conventional modulation techniques, including carrier-based SPWM and SVM, fail to maintain voltage balance. This paper proposes a supervised voltage regulation method that dynamically adjusts duty ratios to compensate for capacitor voltage deviations, ensuring stable operation. Beyond regulation, a unified electrothermal lifetime evaluation framework is introduced to quantify how improved regulation impacts capacitor reliability. The framework integrates ripple-spectrum-based ESR loss calculation, hotspot temperature estimation, nonlinear damage accumulation, and Monte Carlo simulation under realistic mission profiles. Simulation and experimental results confirm that the proposed SVR achieves stable capacitor voltage regulation while reducing ripple current and thermal stress. As a result, the 3P4L3C converter demonstrates approximately 20% longer capacitor lifetime compared to the conventional 3P4L6C topology, highlighting the benefit of integrating control and reliability assessment within a single design framework.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".