Thermal and electrical co-design of a modular high-density single-phase inverter using wide-bandgap devices
Bibliographic record
Abstract
This paper explores the multi-disciplinary design challenges in building a 240 VAC, 2 kVA modular single-phase inverter with high power-density using wide-bandgap transistors. The compromise between the electrical and mechanical design is extremely important in any high-density power converter. In this work the electrical and mechanical systems were iteratively co-designed using detailed 3D thermal and air-flow simulations. Custom copper heat-sinks and heat-pipes were developed for optimal thermal management. The inverter uses three soft-switching sub-inverters in parallel, which are controlled using a novel digital Hysteretic Current Mode Control (HCMC) scheme. To achieve a flat high efficiency curve with low THD over a wide load range, two operating modes are used: 1) Boundary Conduction Mode (BCM) with a slight negative inductor valley current for soft-switching, and 2) Continuous Conduction Mode (CCM) to limit the required saturation current in the inductors. The design of an active power decoupling scheme to minimize input capacitance is also discussed. The designed single-phase inverter has a volume of 33.1 in3 and resulting theoretical power-density of 60.3 W/in3 at 2 kW load. A measured efficiency of 97.7% is achieved for a single sub-inverter with 4.5% THD at 632.7 W.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".