Modeling, Design, Analysis, and Control of a Nonisolated Universal On-Board Battery Charger for Electric Transportation
Bibliographic record
Abstract
On-board chargers (OBCs) in electric transportation resolve the anxiety for frequent charging of the battery packs. This paper presents a single-phase nonisolated OBC for electric transportation using a two-switch topology. The main advantage of this OBC is that it can perform high input power quality over a wide output voltage conversion range. The presented two-switch converter is able to operate with an output voltage above and below the peak of input voltages. The analysis and various operating modes of converter and design considerations to achieve the wide output voltages are discussed in this paper. Moreover, small-signal analysis of the converter in various modes to aid for the design of the controller is also presented. A two-mode control scheme with average current-mode (ACM) control structure using PI controllers is shown in this paper with a feature of automatic mode selection. As a proof of concept, the experimental results from a 1-kW laboratory prototype with an output voltage range of 150-450 V are presented. A high input power factor of 0.99 and an efficiency of 96% have been achieved from the 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 | 0.000 |
| 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".