Power-mix optimization for a hybrid ultracapacitor/battery pack in an electric vehicle using real-time GPS data
Bibliographic record
Abstract
The objective of this work is to investigate the effect of an ultracapacitor/battery based hybrid energy storage system (HESS) in an electric vehicle (EV) prototype having a 200 km range. Global positioning system (GPS) data is used to enhance the HESS power-mix optimization in real-time, based on the relative position of stop signs and traffic signals. It is shown that the GPS information, which is already available in the car, is beneficial in managing the u-cap voltage and reducing the dynamic currents on the battery. Simulations comparing various power sharing algorithms show the superior performance of the GPS enhanced HESS control scheme, based on the experimental drive-cycle. It is shown that utilizing the GPS data in the power optimizer can reduce the battery's peak charge current by 38% compared to a standard HESS.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".