Multiport Converter With Enhanced Port Utilization Using Multitasking Dual Inverters
Bibliographic record
Abstract
With the development of renewable energy and electric vehicle technologies, a need for multiport DC/DC/AC converters with high power density and reliability has arisen. A dual inverter based bidirectional multiport converter with two dissimilar voltage DC ports and an AC port is presented. The converter is capable of processing up to 1.67, 1.41 and 1 p.u. of power through its main DC, auxiliary DC and AC ports respectively, while only using the semiconductor and magnetics effort of a DC/AC converter rated for 1 p.u. Analysis reveals that this is more than thrice and twice the power limits of the main and auxiliary DC ports respectively, compared to using two independent inverters with a three-winding transformer. Furthermore, the proposed converter is more efficient than the latter option. These benefits are due to the multitasking of inverters and the existence of single stage DC/DC and DC/AC power transfer mechanisms enabled by the use of a center tapped transformer. A control strategy using these two mechanisms, capable of independently controlling the power flows between ports is also presented. These claims are verified through thorough analysis, extensive simulation and experimental results using a 3 kW prototype.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".