首页 | 本学科首页   官方微博 | 高级检索  
     

锂离子电池正极涂层孔隙结构优化的数值模拟
引用本文:王慧艳,陈怡沁,周静红,曹约强,周兴贵.锂离子电池正极涂层孔隙结构优化的数值模拟[J].化工学报,2022,73(1):376-383.
作者姓名:王慧艳  陈怡沁  周静红  曹约强  周兴贵
作者单位:华东理工大学,化学工程联合国家重点实验室,上海 200237
基金项目:国家自然科学基金项目(21676082,22008067);;中国博士后科学基金项目(2020M681202);
摘    要:以磷酸铁锂(LFP)为正极材料的锂离子电池在电子产品、电动汽车等领域应用广泛,但其能量密度仍有待提升以进一步满足不同场景应用需求。锂离子在正极孔隙电解液中的扩散过程是LFP锂离子电池性能的控制因素之一,通过优化电极孔隙结构可以在一定程度上减小锂离子在电解质中的扩散阻力进而提升能量密度。采用准二维模型描述电池内部的传质电化学过程,考察了当锂离子电池正极孔隙存在梯度分布后对锂离子电池能量密度的影响及作用机理。通过对比孔隙率均匀分布和梯度分布的电池模拟结果,发现孔隙率的梯度分布能提高单位活性材料的利用率,提升电解质通量和电极活性材料的嵌锂量,从而增加电池能量密度。随着电极厚度的增加,孔隙率分布的梯度越大,对能量密度的提升效果越显著,研究结果对于厚电极涂层的制备工艺具有重要意义。

关 键 词:锂离子电池  数学模拟  孔隙结构  梯度分布  能量密度  
收稿时间:2021-06-25

Numerical simulation of cathode coating of lithium-ion battery for porosity optimization
WANG Huiyan,CHEN Yiqin,ZHOU Jinghong,CAO Yueqiang,ZHOU Xinggui.Numerical simulation of cathode coating of lithium-ion battery for porosity optimization[J].Journal of Chemical Industry and Engineering(China),2022,73(1):376-383.
Authors:WANG Huiyan  CHEN Yiqin  ZHOU Jinghong  CAO Yueqiang  ZHOU Xinggui
Affiliation:State Key Laboratory of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
Abstract:Lithium-ion batteries using lithium iron phosphate (LFP) as the cathode material are widely used in electronic products, electric vehicles and other fields, but their energy density still needs to be improved to further meet the application needs of different scenarios. The diffusion of lithium ions in the electrolyte through the pores of the positive electrode is one of the key factors dominating the performance of LFP lithium-ion batteries. The diffusion resistance of the lithium ions can be reduced by certain extent by optimizing the electrode porosity, hence the energy density. In this paper, a quasi-two-dimensional model is used to describe the electrochemical process of the lithium-ion batteries with positive electrode of both gradient and uniform porosities. The influence of gradient porosity of electrode on the energy density of the lithium-ion battery is investigated. A comparison was made between the simulation results with porosities of uniform and gradient distributions. It is found that the introduction of gradiently distributed porosity into electrode coating can improve the utilization ratio of unit active material and increase both the electrolyte flux and the amount of lithium intercalation in the active material, therefore effectively increase the energy density of the lithium-ion battery. Especially, for the thick electrode coating, the enhancement in energy density is more significant with greater gradient porosity. These findings are of great importance for the preparation process of thick electrode slice.
Keywords:lithium-ion battery  mathematical modeling  pore structure  gradient distribution  energy density  
本文献已被 万方数据 等数据库收录!
点击此处可从《化工学报》浏览原始摘要信息
点击此处可从《化工学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号