Sizing of Battery/Supercapacitor Hybrid Energy Storage System for Electric Vehicles
Bibliographic record
Abstract
In a hybrid energy storage system, the battery is the primary source supplying energy for electric vehicles, whereas, the supercapacitor is used as the auxiliary source which supports the battery to prolong the lifetime and respond to the power requirement of acceleration. In order to maximize the efficiency of a hybrid energy system, this paper figures out the optimal configuration based on the non-dominated sorting genetic algorithm type 2 (NSGA-II). A set of optimal solutions simultaneously satisfies two objectives: maximize travel distance and battery lifetime. These objectives are formulated by five criteria, including the state of charge of the battery, the root-mean-square value and the standard deviation of the battery current, the final supercapacitor voltage and the regenerative energy to the battery system. The optimization result is evaluated by various driving cycles, i.e., UDDS, WLTC class 2, and Artemis Urban.
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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 | 0.000 |
| 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".