EV/HEV Industry Trends of Wide-bandgap Power Semiconductor Devices for Power Electronics Converters
Bibliographic record
Abstract
During the past two decades, medium-power inverters for electric and hybrid electric vehicles (EV/HEV) have been dominated by mature silicon (Si) insulated-gate bipolar transistor (IGBT) technology. New power semiconductor technologies, such as silicon carbide (SiC), have attracted increasing interest as attractive alternatives that address the limitations of the band-gap width, breakdown voltage, saturation drift rate, and thermal conductivity of Si devices. This paper provides an overview of wide-bandgap power semiconductors from the perspectives of the efficiency, reliability, added cost, and market, particularly for EV and charging infrastructure applications. In addition, the potential of wide-bandgap power devices is analyzed, including SiC, gallium nitride (GaN), and synthetic diamond, and the industry vision and evolution related to SiC penetration into the automotive supply chain are described.
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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 | 0.001 | 0.001 |
| 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 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".