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Record W3024840827 · doi:10.1149/09707.0195ecst

A Comprehensive Comparison of the Phase Change Material-Based Internal and External Cooling Systems

2020· article· en· W3024840827 on OpenAlexaff
Rui Zhao, Jie Liu, Fai Ma

Bibliographic record

VenueECS Transactions · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsCarleton University
Fundersnot available
KeywordsBattery (electricity)Materials sciencePhase-change materialThermal conductivityBattery packThermalWater coolingInternal heatingNuclear engineeringElectrical conductorEnergy storageComposite materialThermal energy storageMechanical engineeringThermodynamicsEngineeringPower (physics)Physics

Abstract

fetched live from OpenAlex

In this study, phase change material (PCM) is used internally and externally in managing the heat generation of cylindrical Li-ion batteries during high rate discharges. Both internal and external cooling systems are thoroughly compared in their cooling effect on batteries of different sizes (18650, 21700, and 26650) and radial thermal conductivities, their cooling effect on battery packs of different layers (2, 4, and 8 layers of batteries), the necessity using high thermally conductive PCM in the cooling systems, as well as their weight and volume added to the battery system. Results show that the internal cooling system is more suitable for high specific energy applications. It is less sensitive to the battery radial thermal conductivity and performs better for large battery packs and thick batteries. While the external cooling system is more space-saving and suitable for 2-layer battery packs with forced convection applied at the battery pack side walls. However, its performance deteriorates as the thermal conductivity of PCM and batteries decreases.

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 score0.454
Threshold uncertainty score0.307

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 head0.072
GPT teacher head0.319
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

Citations3
Published2020
Admission routes1
Has abstractyes

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