On the concept of a novel Reconfigurable Multi-Source Inverter
Bibliographic record
Abstract
Nowadays, the two competing powertrains used in Hybrid and Plug-in Hybrid Electric Vehicles are embodied by the Chevrolet Volt and the Toyota Prius. These powertrain architectures are costly which is primarily due to the fact that they either use a large and expensive battery pack or a smaller battery pack coupled to a power converter. The concept of a novel Reconfigurable Multi-Source Inverter (ReMS) is introduced in this paper where two or more DC sources with variable voltages are interconnected to a three phase output load. It is capable of connecting the two DC sources in a parallel or series configuration allowing the powertrain to reduce switching losses as well as sustain peak torque for higher motor speeds, which, in turn, allows for a reduction in battery size. A modified Space Vector Pulsewidth Modulation (SVPWM) scheme is used to control the ReMS where three phase AC waveforms are synthesized from 24 non-zero voltage vectors. Simulation results of the ReMS applied in a hybrid electric powertrain are conducted where a rectifier and Li-ion battery act as the two DC sources. Modes of operation, line-to-line voltages, the sinusoidal three phase currents and the state of charge of the battery are plotted.
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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 | 0.000 | 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 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".