A ZV-ZCS electrolytic capacitor-LessAC/DC isolated LED driver with continous energy regulation
Bibliographic record
Abstract
Conventional AC/DC LED drivers require a large energy storage capacitor at the output to provide a constant current to the LEDs. In order to minimize the size and cost of the driver circuit, electrolytic capacitors are conventionally used due to its high energy density and low cost. However, electrolytic capacitors are sensitive to operating temperature and have much shorter lifetime than the LED semiconductor devices, which significantly reduces the overall life time of the LED system. Another drawback with the current LED drivers is that the presence of the switching power losses restricts the use of high frequency operation, which results in using bulky passive circuit components in the drivers and significantly reduces the circuit power efficiency. This paper proposes a single-stage high power factor LED driver with almost zero switching losses and without the electrolytic capacitor. In the proposed circuit, discontinuous conduction mode (DCM) boost converter was utilized as a power factor correction (PFC) circuit, where it was integrated with an asymmetrical pulse width modulated (APWM) series resonant converter to form a single stage power conversion unit to drive the LEDs. The proposed circuit is able to achieve zero turn-on and turn-off switching operation and is able to eliminate the conventionally needed electrolytic capacitors by continuously regulating the DC-link voltage. The proposed LED driver was simulated and tested on a 12W design example to confirm that an almost unity power factor and an efficiency of 95% can be achieved.
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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 | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".