Evaluating Low Temperature’s Impact on Lithium-Ion Batteries: Examination of Performance Metrics with Respect to Size and Chemistry

This study explores the effects of low temperatures on the performance of various lithium-ion batteries (LIBs), comparing different sizes and chemical compositions. Experiments were conducted in a sub-zero temperature environment, examining discharge behavior, internal resistance, and capacity retention. The findings reveal that smaller-sized batteries (18650, 21700) have a marked resilience to cold, outperforming larger 26650 cells, with smaller average capacity declines noted in both LiCoO2 and LiMn2O2 chemistries. The study also introduces a new adaptive filtering technique for better battery behaviour analysis at low temperatures, which avoids distortion of important electrochemical signals.

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Publication Details

Journal
Machines
Published
2025-12-02
DOI
https://doi.org/10.3390/machines13121114
Citations
2
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
1.37

Funders

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article

Evaluating Low Temperature’s Impact on Lithium-Ion Batteries: Examination of Performance Metrics with Respect to Size and Chemistry

Yufang Hu, Jie Liu, Ahmed Abdelrahman
2 citations
Machines
Advanced Battery Technologies Research
1.37
article

Evaluating Low Temperature’s Impact on Lithium-Ion Batteries: Examination of Performance Metrics with Respect to Size and Chemistry

Yufang Hu, Jie Liu, Ahmed Abdelrahman
article en
2 citations

Abstract

This study explores the effects of low temperatures on the performance of various lithium-ion batteries (LIBs), comparing different sizes and chemical compositions. Experiments were conducted in a sub-zero temperature environment, examining discharge behavior, internal resistance, and capacity retention. The findings reveal that smaller-sized batteries (18650, 21700) have a marked resilience to cold, outperforming larger 26650 cells, with smaller average capacity declines noted in both LiCoO2 and LiMn2O2 chemistries. The study also introduces a new adaptive filtering technique for better battery behaviour analysis at low temperatures, which avoids distortion of important electrochemical signals.

MachinesVol. 13(12)
Carleton University (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 16%
Advanced Battery Technologies Research
1.37
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