Bidirectional Multilevel Universal Charger with Decentralized Control Structure for Powering Light Electric Mobility Applications
Bibliographic record
Abstract
Electric Bicycles (E-bikes) are an emerging class of light electric mobility vehicles that enhance the urban transportation system in a highly efficient and green manner. Because of the compact dimension, an E-bike carries a small battery, which needs daily multiple charges. Thus, the growing number of E-bikes requires many private and public charging stations, which could be a direct source of distortion for the grid power quality and resiliency. The massive number of E-bikes however can be considered as an effective capacity to provide ancillary services for the grid. Accordingly, this paper introduces a Bidirectional Fast Charger (BFC) for E-bikes based on a new compact multilevel converter topology and an advanced hybrid controller. The proposed BFC supplies E-bikes with different voltage levels in charging mode and supports the grid with ancillary services using the stored energy of the battery during inverting mode. The presented implementation results collected in different test scenarios validate the feasibility of the proposed bidirectional multilevel fast charger for future industrialization.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".