Research Progress of Functional Binders in Silicon-Based Anodes for Lithium-Ion Batteries

被引:12
作者
Zhang, Jingshuo [1 ,2 ]
Zhai, Yue [1 ,2 ]
Zhao, Ziyun [1 ,2 ]
He, Jiaxing [1 ,2 ]
Wei, Wei [4 ]
Xiao, Jing [1 ,2 ,4 ,5 ]
Wu, Shichao [1 ,2 ,3 ]
Yang, Quan-Hong [1 ,2 ,3 ,4 ,5 ]
机构
[1] Tianjin Univ, Collaborat Innovat Ctr Chem Sci & Engn Tianjin, Tianjin Key Lab Adv Carbon & Electrochem Energy St, Nanoyang Grp, Tianjin 300072, Peoples R China
[2] Tianjin Univ, Sch Chem Engn & Technol, Natl Ind Educ Integrat Platform Energy Storage, Tianjin 300072, Peoples R China
[3] Haihe Lab Sustainable Chem Transformat, Tianjin 300192, Peoples R China
[4] Tianmu Lake Inst Adv Energy Storage Technol, Liyang 213300, Jiangsu, Peoples R China
[5] Tianjin Univ, Joint Sch Natl Univ Singapore & Tianjin Univ, Int Campus, Fuzhou 350207, Peoples R China
基金
中国国家自然科学基金;
关键词
Lithium-ion battery; Silicon-based anode; Functional binder; Self-healing polymer; Conductive polymer; SOLID-ELECTROLYTE INTERPHASE; CONDUCTIVE POLYMER BINDER; MICROPARTICLE ANODES; PERFORMANCE; DESIGN; CHEMISTRY; NETWORK; ENABLES; STORAGE;
D O I
10.3866/PKU.WHXB202306006
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Silicon (Si) has a high theoretical gravimetric capacity (3579 mAh center dot g -1 for Li 15 Si 4 ), which is almost ten times higher than that of graphite (372 mAh center dot g -1 ) anode. Besides, it has low electrochemical potentials (0.4 V vs . Li + /Li), and abundant reserves. Thus, Si becomes a key anode material for the development of high-energy lithium -ion batteries. Nano -Si, typically compounded with graphite, has opened its commercialization. But the specific capacity of commercial Si/graphite composites is generally below 600 mAh center dot g -1 , which is far below the theoretical specific capacity of Si. In the meanwhile, the high cost, high specific surface area and low tap density of nanoSi limit its volumetric energy density and large-scale production further. Compared to the above materials, micro -Si (1-10 mu m) is gaining industry attention for its low cost, as it does not require high-energy ball milling to reduce the particle size. Also, low specific surface area and high tap density conduce to reducing interfacial side reactions and increasing volumetric energy density. Therefore, micro -Si has a particular advantage over application in high volumetric energy density storage devices. However, due to the huge stress caused by significant volume change (300%), there are more severe problems such as particle pulverization, electrode disintegration, conductive network failure and uncontrolled growth of solid electrolyte interphases, which greatly hinder its commercialization. Binders are essential in adapting to Si volume changes to ensure the integrity of the electrode and keeping the tight contact among the active material, conductive additive and current collector to provide a stable conductive network. The development of high -capacity and high -stability micro -Si -based anodes poses greater challenges to the design of binders. In this review, we first clarify the binding mechanism of binders, factors that influence the bonding forces, and design strategies of binders for relieving the volume change of Si electrodes. As a major part, we systematically discuss the strategies and corresponding mechanisms of functional binders for silicon -based anodes from aspects of self -healing binders, conductive binders, ion -conductive binders, and the facilitating effect of functional binders on the stable SEI (Solid Electrolyte Interphase) formation. Finally, the existing problems and challenges are pointed out in terms of long -cycle stability, initial Coulombic efficiency (ICE) and binder ratio under commercial loading. We put forward the promising directions for developing functional binders towards the practical use of micro -Si anode: an ideal binder should be multifunctional and helpful to robust electron/ion conductive networks and stable SEI throughout the long cycling life of micro -Si, where the polymer molecular structure of functional binders can be systematically designed by artificial intelligence and machine learning technologies.
引用
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页数:14
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