Exploration of lithium battery electrode calendering process based on discrete element method

doi:10.19799/j.cnki.2095-4239.2024.0110

Abstract

Abstract:

With the introduction of the "Dual Carbon Goal," lithium batteries have taken on an unprecedented role in carbon reduction. The calendering process plays a vital role in shaping lithium battery electrodes, thus impacting their microstructure and mechanical properties, which significantly determine the overall battery performance. This study employs the discrete element method to investigate the impact of the calendering process on the microstructure and mechanical properties of lithium battery electrodes. The results show that as the calendering uniformity increases, the electrode porosity initially decreases linearly, and then it gradual decreases, deviating from a strictly linear pattern. The electrode density linearly increases, and calendering enhances the coordination between electrode particles. Furthermore, the internal stress in the lithium battery electrode increases exponentially during calendering, with the z-direction stress increasing faster than in the x- and y-directions.

Key words: lithium battery electrode, electrode calendaring, discrete element method

CLC Number:

TM 912

Kaiyue YANG, Xinbing XIE, Xiaozhong DU. Exploration of lithium battery electrode calendering process based on discrete element method[J]. Energy Storage Science and Technology, 2024, 13(8): 2570-2579.

Figures/Tables 12

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References 20

1	HUANG S, FAN F, LI J, et al. Stress generation during lithiation of high-capacity electrode particles in lithium ion batteries[J]. Acta Materialia, 2013, 61(12): 4354-4364. DOI: 10.1016/j.actamat. 2013.04.007.
2	OTT J, VÖLKER B, GAN Y X, et al. A micromechanical model for effective conductivity in granular electrode structures[J]. Acta Mechanica Sinica, 2013, 29(5): 682-698. DOI: 10.1007/s10409-013-0070-x.
3	KESPE M, NIRSCHL H. Numerical simulation of lithium-ion battery performance considering electrode microstructure[J]. International Journal of Energy Research, 2015, 39(15): 2062-2074. DOI: 10.1002/er.3459.
4	JIANG Z Y, QU Z G, ZHOU L. Lattice Boltzmann simulation of ion and electron transport during the discharge process in a randomly reconstructed porous electrode of a lithium-ion battery[J]. International Journal of Heat and Mass Transfer, 2018, 123: 500-513. DOI: 10.1016/j.ijheatmasstransfer.2018.03.004.
5	LIN C, XING J L, TANG A H. Failure analysis of electrochemical-mechanical interactions within nanowire electrode materials of lithium-ion batteries[J]. Journal of Nanoscience and Nanotechnology, 2018, 18(11): 7889-7895. DOI: 10.1166/jnn.2018.15546.
6	WESTHOFF D, DANNER T, HEIN S, et al. Analysis of microstructural effects in multi-layer lithium-ion battery cathodes[J]. Materials Characterization, 2019, 151: 166-174. DOI: 10.1016/j.matchar.2019.02.031.
7	BECKER V, BIRKHOLZ O, GAN Y X, et al. Modeling the influence of particle shape on mechanical compression and effective transport properties in granular lithium-ion battery electrodes[J]. Energy Technology, 2021, 9(6): 2000886. DOI: 10.1002/ente.202000886.
8	LEE Y K, PARK J, SHIN H. Multi-scale analysis of cathode microstructural effects on electrochemical and stress responses of lithium-ion batteries[J]. Journal of Power Sources, 2022, 548: 232050. DOI: 10.1016/j.jpowsour.2022.232050.
9	GÜNTHER T, SCHREINER D, METKAR A, et al. Classification of calendering-induced electrode defects and their influence on subsequent processes of lithium-ion battery production[J]. Energy Technology, 2020, 8(2): 1900026. DOI: 10.1002/ente.201900026.
10	BILLOT N, GÜNTHER T, SCHREINER D, et al. Investigation of the adhesion strength along the electrode manufacturing process for improved lithium-ion anodes[J]. Energy Technology, 2020, 8(2): 1801136. DOI: 10.1002/ente.201801136.
11	ACHARYA T, CHAUPATNAIK A, PATHAK A, et al. Effect of calendering on rate performance of Li₄Ti₅O₁₂ anodes for lithium-ion batteries[J]. Journal of Electroceramics, 2020, 45(3): 85-92. DOI: 10.1007/s10832-020-00227-2.
12	PRIMO E N, CHOUCHANE M, TOUZIN M, et al. Understanding the calendering processability of Li(Ni_0.33Mn_0.33Co_0.33)O₂-based cathodes[J]. Journal of Power Sources, 2021, 488: 229361. DOI: 10.1016/j.jpowsour.2020.229361.
13	LIPPKE M, MEISTER J, SCHILDE C, et al. Preheating of lithium-ion battery electrodes as basis for heated calendering—A numerical approach[J]. Processes, 2022, 10(8): 1667. DOI: 10.3390/pr10081667.
14	SIM R, LEE S, LI W D, et al. Influence of calendering on the electrochemical performance of LiNi_0.9Mn_0.05Al_0.05O₂ cathodes in lithium-ion cells[J]. ACS Applied Materials & Interfaces, 2021, 13(36): 42898-42908. DOI: 10.1021/acsami.1c12543.
15	CUNDALL P A, STRACK O D L. A discrete numerical model for granular assemblies[J]. Géotechnique, 1979, 29(1): 47-65. DOI: 10.1680/geot.1979.29.1.47.
16	SANGRÓS GIMÉNEZ C, FINKE B, SCHILDE C, et al. Numerical simulation of the behavior of lithium-ion battery electrodes during the calendaring process via the discrete element method[J]. Powder Technology, 2019, 349: 1-11. DOI: 10.1016/j.powtec. 2019.03.020.
17	GE R H, CUMMING D J, SMITH R M. Discrete element method (DEM) analysis of lithium ion battery electrode structures from X-ray tomography—The effect of calendering conditions[J]. Powder Technology, 2022, 403: 117366. DOI: 10.1016/j.powtec. 2022.117366.
18	ZHANG J P, HUANG H G, SUN J N. Investigation on mechanical and microstructural evolution of lithium-ion battery electrode during the calendering process[J]. Powder Technology, 2022, 409: 117828. DOI: 10.1016/j.powtec.2022.117828.
19	LUNDKVIST A, LARSSON P L, OLSSON E. A discrete element analysis of the mechanical behaviour of a lithium-ion battery electrode active layer[J]. Powder Technology, 2023, 425: 118574. DOI: 10.1016/j.powtec.2023.118574.
20	THAKUR S C, MORRISSEY J P, SUN J, et al. Micromechanical analysis of cohesive granular materials using the discrete element method with an adhesive elasto-plastic contact model[J]. Granular Matter, 2014, 16(3): 383-400. DOI: 10.1007/s10035-014-0506-4.

材料	参数	数值	单位
活性物质颗粒 (NCM)	杨氏模量	1.42×10¹¹	Pa
	密度	4.75	g/cm²
	泊松比	0.25
	静摩擦系数	0.25
	滚动摩擦系数	0.01
	弹性恢复系数	0.25

导电炭黑 (CB)	杨氏模量	4.5×10⁸	Pa
	密度	2.25	g/cm²
	泊松比	0.3
	静摩擦系数	0.25
	滚动摩擦系数	0.01
	弹性恢复系数	0.25

集流体 (铝)	杨氏模量	6.89×10¹⁰	Pa
	密度	2.7	g/cm²
	泊松比	0.25

压缩板	杨氏模量	1.82×10¹¹	Pa
	密度	7.8	g/cm²
	泊松比	0.3

[1]	Xinbing XIE, Kaiyue YANG, Xiaozhong DU. Mechanical behavior and structure of lithium-ion battery electrode calendering process [J]. Energy Storage Science and Technology, 2024, 13(5): 1699-1706.
[2]	Jianping ZHONG, Tao FEI. Defects detection and recognition of lithium battery electrode plate coating based on WOA-BPNN [J]. Energy Storage Science and Technology, 2022, 11(8): 2537-2545.