Design and Characterization of Bus Bars for 1-MVA Three-Level ANPC Inverters in Aerospace Applications
Bibliographic record
Abstract
Bus bars play a crucial role in connecting components and are widely utilized in high-power inverters. Efforts have been made in the past to reduce the stray inductance of bus bars. In the case of multilevel inverters, which involve more complex commutation loops than their two-level counterparts, the physical layout and parasitic parameters of bus bars are particularly important. Furthermore, for novel and more demanding applications such as aerospace, bus bars need to be designed to be lightweight while ensuring a partial discharge (PD)-free insulation performance. Given the challenging cooling condition in aerospace applications, the thermal design and cooling performance of bus bars also warrant considerable attention. This article presents a comprehensive design approach of a laminated bus bar for a 1.5-kV 1-MVA three-level active neutral-point-clamped (ANPC) inverter for electrified aircraft propulsion. With the proposed design methodologies, 29.4- and 48.8-nH inductance for short and long commutation loops, PD-free insulation, and satisfactory thermal performance are achieved with an only 1.77-kg layout. Experimental results confirm that the efficiency of the 1-MVA ANPC inverter can reach 98.97% under half-load conditions with the designed bus bar.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".