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Record W1479704183 · doi:10.1109/iecon.2014.7048940

Investigation of regenerative braking on the energy consumption of an electric taxiing system for a single aisle midsize aircraft

2014· article· en· W1479704183 on OpenAlexafffund
Maximilian Heinrich, Fabian Kelch, Pierre Magne, Ali Emadi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric and Hybrid Vehicle Technologies
Canadian institutionsMcMaster University
FundersDeutsches Zentrum für Luft- und RaumfahrtCanada Research ChairsAstellas Pharma US
KeywordsAutomotive engineeringRegenerative brakePowertrainTraction motorPropulsionEngineeringElectric motorTakeoffElectric power systemEnergy consumptionElectric vehicleElectrically powered spacecraft propulsionBrakeComputer scienceTorquePower (physics)Electrical engineeringAerospace engineering

Abstract

fetched live from OpenAlex

This paper investigates the effect of regenerative braking on the overall energy consumption of an electric taxiing system which is integrated in the main landing gear of a single aisle midsize aircraft. In the evaluated system, electric motors are responsible for the aircrafts propulsion while taxiing on ground. First, the system is modeled and analyzed in order to design an electrified traction system for the taxiing of the aircraft. The followed method to design the electric taxiing powertrain system is presented. Based on the aircraft's mass and the interaction between the wheels and the tarmac, a simulation model is developed for the electric taxiing system. This model is simulated over a real taxiing takeoff drive cycle to evaluate and characterize the energy and power requirements of the traction system. Moreover, the power and energy rating of the traction system (electric motors, power electronics and battery capacity) are determined by the consideration of the specific taxing scenario and evaluated drive-cycle. The assumptions and model used to size the powertrain especially the electric motors are confirmed by the simulation results. Furthermore, the results of the considered drive cycle show that regenerative braking can potentially enable a reduction in the overall tractive energy up to more than 8%.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.202
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2014
Admission routes2
Has abstractyes

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