Regenerative Braking Capability Analysis of an Electric Taxiing System for a Single Aisle Midsize Aircraft
Bibliographic record
Abstract
This paper investigates the effect of regenerative braking on the overall energy consumption of an electric taxiing system (ETS), which is integrated in the main landing gear of a single aisle midsize aircraft. Besides predicting the electric taxiing energy consumption for the selected aircraft, a system-level analysis of the proposed system is presented that ultimately yields main powertrain component performance requirements. In the evaluated system, electric motors are responsible for the aircraft's propulsion while taxiing on ground. First, the system's modeling process is analyzed to size an electrified traction system that matches conventional taxi performances. Based on the aircraft's mass and the interaction between the wheels and the tarmac, a simulation model for an ETS is developed. This model is simulated across four real taxiing drive cycles to evaluate and characterize the energy and power requirements of the traction system. Moreover, the power and energy ratings of the traction system (electric motors, power electronics, and energy storage device) are determined by the consideration of four real taxiing scenarios. The assumptions, made to size the powertrain, and especially the electric motor specifications are confirmed by the simulation results. Furthermore, the results of the considered drive cycles display that regenerative braking can potentially enable a reduction in the overall energy use to electrically taxi the aircraft on ground of up to 15% on average.
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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 | 0.001 | 0.003 |
| 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".