PSPICE-Based Analyses of the Vibration Energy Harvester System With Multiple Piezoelectric Units
Bibliographic record
Abstract
It has been a challenge to determine the optimal energy-storage capacitance in piezoelectric vibration energy harvesting (VEH) systems for a given working time. In this paper, the PSPICE software is used to determine the optimal energy-storage capacitance in a VEH system with one or more piezoelectric modules, for maximizing the energy harvesting capability, and to investigate the dependence of this optimum energy-storage capacitance on the device and working parameters. The simulation method is verified by experimental results. It is found that the optimal energy-storage capacitance increases with an increase of the clamped capacitance, working frequency, and working time of the piezoelectric modules. It is also found that the optimal energy-storage capacitance is proportional to the number of the piezoelectric modules used in the VEH system if the piezoelectric modules have close parameters.
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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".