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

Tianyi Ma , Zhipeng Sun , Ce Han , Yingzhou Wang , Baoqiang Zhang , Jinjie Zhang , Liduo Chen , Xiaoqian Dai , Shijie Zhang , Shaopeng Shen
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Abstract

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.
锂离子牵引电池老化过程中内阻和熵热系数的演化研究
内阻与熵热系数的关系对牵引电池的热行为和性能有重要影响。本研究系统地研究了四种不同充电状态(SOC)(0% - 100%)和温度条件(-20°C至55°C)下的牵引电池,分析了它们的熵热系数和内阻变化。实验结果表明,热熵系数随SOC的变化呈非线性变化,其变化范围为-1.2 mV/K ~ 2.8 mV/K,直接影响热量的产生。此外,内阻随SOC和温度变化显著,在低温条件下比室温增加300%以上。这些发现强调了考虑内阻和熵热系数的自适应热管理策略的必要性,并通过将动态熵热模型集成到电池管理系统中,为优化电池热行为和寿命提供了新的见解。
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