Abstract：The electrodes of lithium ion batteries are composed of active material particles, binders, conductive additives and pores filled with electrolyte. Optimizing the porous structure of the electrode effectively improves the ionic and electronic transport inside the cell which improves the battery power output. Many previous designs have used the conventional trial-and-error method while the forward design method based on an electrode model is gradually being more widely used in the industry. However, previous electrode models required excessive computations to get the desired prediction accuracy. This paper presents an extended homogeneous porous electrode model for lithium-ion batteries which balances the computational cost and the prediction accuracy. This study compares the computational costs and the electrode modeling accuracy of three electrode models, a traditional volume-averaged pseudo 2D model, a 2D heterogeneous particle-packing model from the previous work of the authors' group, and the extended homogeneous model of this study. Then, this paper discusses how these three electrode models can be used for the forward design of lithium-ion battery electrodes. Finally, the extended homogeneous model is used to analyze the influence of the particle size distribution in the negative electrodes on the cell rate performance with improvements of up to 25% for low C-rates to 100% for high C-rates produced by narrowing the particle size distribution and reducing the particle size.
方儒卿, 张娜, 李哲. 3类锂离子电池多孔电极模型比较研究及电池正向设计应用[J]. 清华大学学报（自然科学版）, 2021, 61(10): 1055-1065.
FANG Ruqing, ZHANG Na, LI Zhe. Comparison study of three porous electrode models for the forward design of lithium-ion batteries. Journal of Tsinghua University(Science and Technology), 2021, 61(10): 1055-1065.
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