Experimental Investigation of Phase Change Material-Based Battery Pack Performance Under Elevated Ambient Temperature
Bibliographic record
Abstract
This study experimentally assesses the thermal performance of a proposed phase change material (PCM)-based battery pack under elevated ambient temperatures. In addition, the novel approach of the research addresses scenarios where the ambient temperature reaches the PCM’s melting point while maintaining the initial temperature at the ideal operating point of 22 °C. The experiments employed nine 2500 mAh 18650 lithium-ion cells connected in series and subjected to constant-current discharges of 1C and 3C, with a conventional air-cooled system as the baseline and paraffin as the PCM. The results indicate that as the ambient temperature reached the PCM’s melting point, approximately 98% utilization of the PCM around the heating cell was achieved. Additionally, the PCM demonstrates noticeable advantages over the baseline by stabilizing the temperature profile and reducing the maximum temperature increase rate from over 18 °C in the baseline system to around 7 °C. Notably, under a high-load (3C) discharge rate, the PCM-based system successfully maintained battery temperatures below 42 °C, demonstrating its effectiveness under demanding operational scenarios. These findings establish a critical baseline for PCM-based BTMSs operating under elevated ambient temperatures and up to the melting point of the PCM, thereby informing future research and development of more efficient PCM-based thermal management solutions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
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)
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".