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Record W4402688902 · doi:10.2514/6.2024-3621

Experimental Study of a Thermal Ground Plane in a Battery Thermal Management System for Electric Aircraft Applications

2024· article· en· W4402688902 on OpenAlexaff
William Mooney, Doriane Ibtissam Hassaine Daoudji, David Rancourt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsThermalThermal management of electronic devices and systemsAerospace engineeringGround planeBattery (electricity)Electrical engineeringAutomotive engineeringEnvironmental scienceComputer scienceNuclear engineeringEngineeringMechanical engineeringPhysicsMeteorology

Abstract

fetched live from OpenAlex

The use of Thermal Ground Plane (TGP) based Battery Thermal Management Systems (BTMS) is showing promise and interest from both academia and the electric vehicle industry for its thermal properties. These passive heat exchangers are a variant of heat pipes that rely on an internal liquid-vapor phase change to achieve a thermal conductivity higher than that of the materials from which they are made. Because they are fluid dependent, they do not have constant thermal properties like metals and an understanding of this variation is required before using them as a BTMS. This paper investigates the experimental effects of orientation, heat flux and operating temperatures on the thermal performance of the TGP. A thermal test bench is used to provide the temperature distribution on the TGP with respect to the above test parameters, and thus the effective thermal conductivity and thermal resistance of the TGP in these configurations. It is shown that the effective thermal conductivity of the TGP prototype varied by up to 50 % over the power profile used. Variation in orientation also resulted in 0.5 to 1.8 times the baseline thermal conductivity. This study uses a new way of representing TGP behavior and shows that thermal conductivity is closely related to internal operating temperature. This study demonstrates that vehicle integration and temperature operating range are critical factors in the consideration and development of a TGP-based BTMS, particularly for aerospace applications.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.399

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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 designSimulation or modeling
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

Citations2
Published2024
Admission routes1
Has abstractyes

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