Study on the evolution of internal resistance and entropy-thermal coefficients during the aging process of lithium-ion traction batteries

• This study reveals the correlation between internal resistance and entropy-thermal coefficients in traction batteries. • The entropy-thermal coefficient plays a crucial role in heat generation and thermal management. • Variations in internal resistance and entropy-thermal coefficients under different conditions inform battery optimization for efficiency and durability. The relationship between internal resistance and entropy-thermal coefficients significantly influences the thermal behavior and performance of traction batteries. This study systematically investigates four types of traction batteries under varying state of charge (SOC) (0%–100%) and temperature conditions (-20°C to 55°C), analyzing their entropy-thermal coefficients and internal resistance variations. Experimental results reveal that entropy-thermal coefficients exhibit non-linear changes with SOC, where values range from -1.2 mV/K to 2.8 mV/K, directly impacting heat generation. Additionally, internal resistance varies significantly with SOC and temperature, increasing by over 300% in low-temperature conditions compared to room temperature. These findings highlight the necessity of adaptive thermal management strategies considering both internal resistance and entropy-thermal coefficients, provide new insights for optimizing battery thermal behavior and lifespan by integrating dynamic entropy-thermal models into battery management systems.

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Publication Details

Journal
e-Prime - Advances in Electrical Engineering Electronics and Energy
Published
2025-03-12
DOI
https://doi.org/10.1016/j.prime.2025.100962
Citations
4
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
2.73
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article

Study on the evolution of internal resistance and entropy-thermal coefficients during the aging process of lithium-ion traction batteries

Yingzhou Wang, Zhipeng Sun, Xiaoqian Dai, Shao-Peng Shen et al.
4 citations
e-Prime - Advances in Electrical Engineering Electronics and Energy
Advanced Battery Technologies Research
2.73
article

Study on the evolution of internal resistance and entropy-thermal coefficients during the aging process of lithium-ion traction batteries

Yingzhou Wang, Zhipeng Sun, Xiaoqian Dai, Shao-Peng Shen, Tianyi Ma, Liduo Chen, Shijie Zhang, Baoqiang Zhang, Ce Han, Jinjie Zhang
article en
4 citations

Abstract

• This study reveals the correlation between internal resistance and entropy-thermal coefficients in traction batteries. • The entropy-thermal coefficient plays a crucial role in heat generation and thermal management. • Variations in internal resistance and entropy-thermal coefficients under different conditions inform battery optimization for efficiency and durability. The relationship between internal resistance and entropy-thermal coefficients significantly influences the thermal behavior and performance of traction batteries. This study systematically investigates four types of traction batteries under varying state of charge (SOC) (0%–100%) and temperature conditions (-20°C to 55°C), analyzing their entropy-thermal coefficients and internal resistance variations. Experimental results reveal that entropy-thermal coefficients exhibit non-linear changes with SOC, where values range from -1.2 mV/K to 2.8 mV/K, directly impacting heat generation. Additionally, internal resistance varies significantly with SOC and temperature, increasing by over 300% in low-temperature conditions compared to room temperature. These findings highlight the necessity of adaptive thermal management strategies considering both internal resistance and entropy-thermal coefficients, provide new insights for optimizing battery thermal behavior and lifespan by integrating dynamic entropy-thermal models into battery management systems.

e-Prime - Advances in Electrical Engineering Electronics and EnergyVol. 12
Northeast Electric Power University (CN), China Automotive Technology and Research Center (CN), Tianjin Internal Combustion Engine Research Institute (CN), Jilin Electric Power Research Institute (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced Battery Technologies Research
2.73
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