Reduction of dead-time effect on the common mode voltage of an open-end winding machine
Bibliographic record
Abstract
Open-end winding (OEW) three-phase drives with dual inverter configuration present high voltage gain, which is very valuable for electric vehicle (EV) applications. However, they can lead to zero-sequence currents and common mode voltages (CMV). A solution for the aforementioned problems is to control the inverters with only odd or even space vectors (SVs). Nonetheless, during dead-times the actual SVs of the inverters vary with the polarity of the load currents which can lead to short pulses in the CMV. First, this paper discusses an approach for determining the actual SVs of the inverters during the dead-times. Based on this, a strategy for selecting the sequence of SVs as a function of the load current polarities for eliminating the spikes in the CMV is proposed. The impact of the proposed strategy on the load voltage and current harmonics as well as on the switch power losses is investigated. The findings of this work are supported by simulation results.
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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".