Three-Wheel Fuel Cell Hybrid Vehicle with a High-Performance Active Switched Quasi-Z-Source Inverter
Bibliographic record
Abstract
In this paper, a novel high-performance active switched quasi-Z-Source inverter (HP-AS-qZSI) dual-source for fuel cell hybrid electric vehicle (FC-HEV) is proposed. In order to eliminate extra dc-dc converters, dual-energy sources based on FC and lithium-ion capacitors (LiCs) are integrated into the Z-source network (ZSN). By adding an anti-parallel power switch, the proposed topology enables to deal with the uncontrollable and distorted dc-link voltages in FCEV applications-based broad-range of loads over the traditional AS-qZSI. The modeling and the operation modes analysis are firstly presented. Real-time simulation based on Opal-RT is then implemented to validate the operation and performance of the proposed topology. As a result, it provides a higher average efficiency (3.06%) and lower component size and volume of passive elements for the EV system. Furthermore, this topology also indicates improved aging performance indexes of high specific-energy sources under the studied Artemis-long driving cycle, compared to the hybrid energy storage system conventional two-stage inverter.
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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) | 0.002 | 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".