Seven Levels Inverter Using Current Model Predictive Control for Household V2G, V2H and G2V
Bibliographic record
Abstract
In this paper a micro-grid configuration is proposed to enhance battery charger of electric vehicle for residential household, V2G, V2V and V2H. The micro-grid configuration consists of a single phase seven level PUC, a single phase Dual Active H Bridge (DAB) and PV solar to support fast charging operation of EV batteries. A single phase seven levels acting as interface between different energy sources and acting as compensator for current harmonics and reactive power. A current Model Predictive control is adopted to take advantages of low switching function, easy to regulate both DC voltages through the cost function. A lower DC bus voltage is a great advantage which represents (2/3) of the Vdccompared to the maximum grid voltage. A Boost converter acts as solar controller to extract maximum power from the PV solar. A non-linear control approach is proposed for single-phase dual active bridge (DAB) to control the power through the phase shift angle to charge and discharge the battery of electric vehicle using constant current mode and constant voltage mode (CC/CV) to provide protection for the electric vehicle (EV) battery.
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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 | 0.000 |
| 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".