A Comparative Study of Control-Oriented Thermal Models for Cylindrical Li-Ion Batteries
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Bench or experimentalConsensus signal: none
- Genre
- Candidate signal: EmpiricalConsensus signal: none
- Teacher disagreement score
- 0.517
- Threshold uncertainty score
- 0.766
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
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 | 0.000 | 0.000 |
| 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)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.256 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
An accurate control-oriented thermal model is of extreme importance for temperature monitoring and thermal management of lithium (Li)-ion batteries in automotive and grid applications. This article, for the first time, presents a comprehensively comparative study of seven representative control-oriented thermal models for cylindrical Li-ion batteries. These models were selected from the state-of-the-art simplified models reported in the existing literature. All these models are introduced in detail. The model assumptions of physical structure, heat generation, and heat conduction are analyzed. Particle swarm optimization (PSO) algorithm is utilized to identify model parameters. Modeling fidelity is evaluated and compared using both simulation campaigns and experimental data sets of cylindrical Li-iron phosphate batteries. The sensitivity of all 1-D models to convective heat transfer coefficient (or convective heat resistance) is quantitatively analyzed, and the computational complexity of the models is compared under a real drive cycle. All the comparisons are thoroughly discussed, and useful insights are provided.
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.
The record
- Venue
- IEEE Transactions on Transportation Electrification
- Topic
- Advanced Battery Technologies Research
- Field
- Engineering
- Canadian institutions
- Ontario Tech University
- Funders
- National Natural Science Foundation of China
- Keywords
- Particle swarm optimizationConvectionThermalThermal conductionComputer scienceHeat transferLithium (medication)Materials scienceAutomotive industryMechanical engineeringConvective heat transferNuclear engineeringSimulationAlgorithmMechanicsAerospace engineeringEngineeringThermodynamicsPhysicsComposite material
- Has abstract in OpenAlex
- yes