An electrochemical-thermal coupling model based on two-factor parameter modification for Li-ion battery

Lin Chen, Mingsi Zhao, Manping He, Deqian Chen, Yunhui Ding, H. Pan
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Abstract

The accurate establishment of battery model can improve the design reliability and reduce the design risk, which provides an important basis for the research of battery. Firstly, the key parameters of the Li-ion battery model were identified by the least square method based on the full-cell equivalent circuit model of single-particle impedance spectrum, and the diffusion coefficient and exchange current density under different temperature and SOC conditions were calculated. At the same time, the one-dimension thermal rate model is used as the heat source of the three-dimensional model, and the mean temperature T of the three-dimensional model is calculated by using Fourier's law, and T is fed back to the one-dimensional model as the key parameter to modify the conductivity, diffusion coefficient and exchange current density, and a semi-empirical electrochemical-thermal coupling model with two-factor parameter modification is established. Finally, the model is verified by the temperature field distribution and discharge voltage curve at different discharge rates. The maximum temperature difference is less than 3.1 °C, and the maximum voltage difference error is less than 0.131V. The results show that the improved model can accurately reflect the influence of temperature on the model parameters, and has high accuracy in the estimation of battery terminal voltage and SOC.
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基于双因子参数修正的锂离子电池电化学-热耦合模型
准确建立电池模型可以提高设计可靠性,降低设计风险,为电池研究提供重要依据。首先,基于单颗粒阻抗谱的全电池等效电路模型,采用最小二乘法确定了锂离子电池模型的关键参数,并计算了不同温度和 SOC 条件下的扩散系数和交换电流密度。同时,将一维热速率模型作为三维模型的热源,利用傅里叶定律计算出三维模型的平均温度 T,并将 T 作为关键参数反馈给一维模型,对电导率、扩散系数和交换电流密度进行修正,建立了双因素参数修正的半经验电化学-热耦合模型。最后,通过不同放电速率下的温度场分布和放电电压曲线对模型进行了验证。最大温差小于 3.1 °C,最大电压差误差小于 0.131V。结果表明,改进后的模型能准确反映温度对模型参数的影响,在估算电池端电压和 SOC 方面具有较高的精度。
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