Energy harvesting optimization using 2D car suspension system actuated by a sawtooth speed bump
Bibliographic record
Abstract
In this work, an optimal suspension system is proposed to reduce the oscillations/vibrations of the car's body and harvest some of the induced vibration energy. The usual shock absorbers are replaced with energy harvesters capable of not only absorbing vibrations for ride comfort but also regenerating electrical energy for onboard use. To investigate the efficiency of the proposed harvesters, the input to the vehicle wheels is assumed to come from a sawtooth-shaped speed bump or rumble speed strip. Also, given the coupling between the various degrees of freedom of the car (heave, pitch, etc.), a half-car model is adopted in the derivation of the equations of motion. To maximize the amount of energy harvested, the design parameters of the harvesters are obtained using the simulated annealing optimization technique with four objective functions. Many of the design parameters, including magnet size, coil turns, and coil layers, are adjusted during the optimization process. Constant and accelerated motions are considered in this study to maximize the generated electricity index and ride comfort efficiency. The simulation results showed that the optimized harvesters were able to regenerate a significant amount of energy while maintaining an acceptable ride comfort level.
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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".