Current Imbalance Tests in Asymmetrical Parallel Connected IGBTs for High Current Applications
Bibliographic record
Abstract
This paper presents a static skewed IGBT gate drive, and investigates the impact to power semiconductor switching compared to the traditional double pulse method test. The method is able to test the performance of parallel connected insulated gate bipolar transistor (IGBT) modules for high current applications. The current-sharing between the parallel-connected IGBT modules is often addressed using gate-drive timing. However, using this test method, it is observed that poor sharing can be introduced by the di/dt arising from the switching in other legs in the inverter. We show current sharing behavior for different AC link arrangements, including quasi symmetrical and asymmetrical for three 300A IGBT modules. The experiments are presented for up to 250Vdcand a load current of around 800A. Regardless of AC link arrangement and in the presence of the di/dt in the load, the current sharing is easily upset. Lastly, a control signal is introduced to improve current sharing among parallel devices.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".