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Simulation exploration on capacity fade and aging prediction of M1254S2 button-type lithium-ion battery

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Abstract

Small lithium-ion (Li-ion) batteries are often used in smart devices. Due to its low battery capacity, the lifespan of the headset needs to be improved by reducing the decay of the Li-ion battery capacity. Here, an electrochemical-thermal coupling model and a capacity fade model based on the pseudo-two-dimensional (P2D) model are established by COMSOL multi-physics field simulation software. The aging behavior of the Li-ion battery during cycling and the effects of different factors on the battery capacity are investigated; the condition of the battery is further predicted. The simulation parameters include charge–discharge rate, initial concentration of lithium ions in the liquid phase, and radius of the anode particles. The results show that the electrolyte diffusion coefficient increases with the increase of temperature in the range of 1000–1600 mol/m3 concentration. However, the initial concentration of 1600 mol/m3 leads to a higher concentration increment (421 mol/m3) during 3000 cycles; it aggravates the concentration polarization. The larger particle radius forms a thicker SEI film. When the radius rises from 2 to 12.5 μm, the thickness and resistance of the SEI film increase to 1136.51 nm and 6.685 m \(\Omega\)∙m2, respectively. It consumes more lithium ions and increases the cycle time under the same current.

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Data availability

The authors confirm that the part of data supporting the findings of this study are available within the article [and/or its supplementary materials], and the remaining data that support the findings of this study are openly available in the COMSOL software database.

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Funding

This work was supported by the National Natural Science Foundation of China (No.. 52174338), Natural Science Foundation of Hunan Province, China (No. 2022JJ20086 & 2021JJ30796), and Central South University Innovation-Driven Research Programme (No. 2023CXQD005). This work was supported in part by the High-Performance Computing Center of Central South University, Amperex Technology Limited, and Jiangxi Provincial Key Laboratory of Flash Green Development and Recycling.

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Authors and Affiliations

  1. School of Metallurgy and Environment, Central South University, Changsha, 410083, China

    Feiyang Su, Jin Xiao, Liping Wang, Bo Hong, Jinlin Liu, Zhenhua Zhang & Qifan Zhong

  2. National Engineering Research Center of Low-Carbon Nonferrous Metallurgy, Central South University, Changsha, 410083, China

    Jin Xiao

  3. School of Energy and Mechanical Engineering, Jiangxi University of Science and Technology, Nanchang, 330013, People’s Republic of China

    Jindi Huang

  4. School of Materials and Architectural Engineering, Guizhou Normal University, Guiyang, 550001, Guizhou, China

    Qifan Zhong

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  1. Feiyang Su
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Feiyang Su and Jinlin Liu wrote the main manuscript and Jin Xiao.Qifan Zhong.Liping Wang.Jindi Huang.Bo Hong.Zhenhua Zhang. reviewed the manuscript.

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Correspondence to Qifan Zhong.

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Su, F., Xiao, J., Wang, L. et al. Simulation exploration on capacity fade and aging prediction of M1254S2 button-type lithium-ion battery. Ionics 30, 2055–2068 (2024). https://doi.org/10.1007/s11581-024-05423-6

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