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Record W2157821305 · doi:10.1149/2.047401jes

A Computationally-Effective Thermal Model for Spirally Wound Nickel-Metal Hydride Batteries

2013· article· en· W2157821305 on OpenAlexaff
Maryam Yazdanpour, Peyman Taheri, Majid Bahrami

Bibliographic record

VenueJournal of The Electrochemical Society · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Technologies Research
Canadian institutionsSimon Fraser University
FundersNational Institute of Mental Health
KeywordsThermal conductionTransient (computer programming)Battery (electricity)ThermalMechanicsMaterials scienceNickelOrthotropic materialSeries (stratigraphy)ConvectionThermodynamicsConvective heat transferComposite materialMetallurgyPhysicsFinite element methodComputer science

Abstract

fetched live from OpenAlex

A new two-dimensional analytical model is developed to investigate the transient thermal behavior of spirally wound batteries. The proposed model is used to analyze the thermal response of a 8 ampere-hour cylindrical nickel-metal hydride (NiMH) battery under fast-charging processes with overcharging periods. Based on the method of integral transformation, a series-form solution for the temperature field in cylindrical batteries is obtained that takes account for transient heat generation, orthotropic heat conduction, and convective heat dissipation. The accuracy of the theoretical solution is tested through comparison with numerical solution and experimental data. Our comparisons show that even the first term of the series solution suffices to accurately describe the two-dimensional temperature field inside the battery core with the modest computational effort.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.246
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2013
Admission routes1
Has abstractyes

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