Optimized equivalent circuit models for series-parallel configurations of piezoelectric transducers in energy harvesting
Bibliographic record
Abstract
This paper presents a detailed study of equivalent circuit models for series-parallel configurations of piezoelectric transducers used in Energy Harvesting (EH) applications. Optimizing these configurations is essential for enhancing the efficiency and performance of Piezoelectric Energy Harvesting (PEH) systems, which are increasingly employed to power small devices and sensors. The effectiveness of series-parallel configurations is demonstrated by their ability to improve the performance of the PEH system by accurately capturing system behavior across varying frequencies and load resistances. The proposed model offers a robust framework for designing and optimizing EH systems, improving the accuracy and performance of piezoelectric transducers in both series and parallel configurations. The key contribution of this work is the enhanced equivalent circuit models for PEHs, which incorporate series, parallel, and series-parallel configurations while decoupling mechanical and electrical. The models are validated through experimentation, providing a practical solution with tunable parameters that align theoretical predictions with observed performance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".