scholarly journals Recent Progress in Synthesis and Application of Low-Dimensional Silicon Based Anode Material for Lithium Ion Battery

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Yuandong Sun ◽  
Kewei Liu ◽  
Yu Zhu

Silicon is regarded as the next generation anode material for LIBs with its ultra-high theoretical capacity and abundance. Nevertheless, the severe capacity degradation resulting from the huge volume change and accumulative solid-electrolyte interphase (SEI) formation hinders the silicon based anode material for further practical applications. Hence, a variety of methods have been applied to enhance electrochemical performances in terms of the electrochemical stability and rate performance of the silicon anodes such as designing nanostructured Si, combining with carbonaceous material, exploring multifunctional polymer binders, and developing artificial SEI layers. Silicon anodes with low-dimensional structures (0D, 1D, and 2D), compared with bulky silicon anodes, are strongly believed to have several advanced characteristics including larger surface area, fast electron transfer, and shortened lithium diffusion pathway as well as better accommodation with volume changes, which leads to improved electrochemical behaviors. In this review, recent progress of silicon anode synthesis methodologies generating low-dimensional structures for lithium ion batteries (LIBs) applications is listed and discussed.

2021 ◽  
Vol 9 ◽  
Author(s):  
Wenqiang Zhu ◽  
Junjian Zhou ◽  
Shuang Xiang ◽  
Xueting Bian ◽  
Jiang Yin ◽  
...  

Silicon (Si) has been counted as the most promising anode material for next-generation lithium-ion batteries, owing to its high theoretical specific capacity, safety, and high natural abundance. However, the commercial application of silicon anodes is hindered by its huge volume expansions, poor conductivity, and low coulombic efficiency. For the anode manufacture, binders play an important role of binding silicon materials, current collectors, and conductive agents, and the binder structure can significantly affect the mechanical durability, adhesion, ionic/electronic conductivities, and solid electrolyte interface (SEI) stability of the silicon anodes. Moreover, many cross-linked binders are effective in alleviating the volume expansions of silicon nanosized even microsized anodic materials along with maintaining the anode integrity and stable electrochemical performances. This mini review comprehensively summarizes various binders based on their structures, including the linear, branched, three-dimensional (3D) cross-linked, conductive polymer, and other hybrid binders. The mechanisms how various binder structures influence the performances of the silicon anodes, the limitations, and prospects of different hybrid binders are also discussed. This mini review can help in designing hybrid polymer binders and facilitating the practical application of silicon-based anodes with high electrochemical activity and long-term stability.


2019 ◽  
Vol 7 (16) ◽  
pp. 9432-9446 ◽  
Author(s):  
Zhixin Xu ◽  
Jun Yang ◽  
Hongping Li ◽  
Yanna Nuli ◽  
Jiulin Wang

Recent progress in electrolytes from the liquid to the solid state for Si-based anodes is comprehensively summarized in this review article.


2021 ◽  
Vol 2 (6) ◽  
pp. 2170015
Author(s):  
Chengzhi Zhang ◽  
Fei Wang ◽  
Jian Han ◽  
Shuo Bai ◽  
Jun Tan ◽  
...  

RSC Advances ◽  
2015 ◽  
Vol 5 (117) ◽  
pp. 96660-96664 ◽  
Author(s):  
Sheng Han ◽  
Yani Ai ◽  
Yanping Tang ◽  
Jianzhong Jiang ◽  
Dongqing Wu

Carbonized polyaniline coupled molybdenum disulfide and graphene show excellent electrochemical performances as an anode material for lithium ion batteries.


2019 ◽  
Vol 48 (9) ◽  
pp. 5933-5940
Author(s):  
Jin Bai ◽  
Huimin Wu ◽  
Shiquan Wang ◽  
Guangxue Zhang ◽  
Chuanqi Feng

2020 ◽  
Vol 8 (48) ◽  
pp. 25548-25570
Author(s):  
Anjali N. Preman ◽  
Hyocheol Lee ◽  
Jungwoo Yoo ◽  
Il Tae Kim ◽  
Tomonori Saito ◽  
...  

This review summarizes the recent progress of 3D network binders in silicon anodes with focusing on diverse crosslinking methods, and proposes a rational design principle.


Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Yujie Cheng ◽  
Laifa Tao ◽  
Chao Yang

This study introduces visual cognition into Lithium-ion battery capacity estimation. The proposed method consists of four steps. First, the acquired charging current or discharge voltage data in each cycle are arranged to form a two-dimensional image. Second, the generated image is decomposed into multiple spatial-frequency channels with a set of orientation subbands by using non-subsampled contourlet transform (NSCT). NSCT imitates the multichannel characteristic of the human visual system (HVS) that provides multiresolution, localization, directionality, and shift invariance. Third, several time-domain indicators of the NSCT coefficients are extracted to form an initial high-dimensional feature vector. Similarly, inspired by the HVS manifold sensing characteristic, the Laplacian eigenmap manifold learning method, which is considered to reveal the evolutionary law of battery performance degradation within a low-dimensional intrinsic manifold, is used to further obtain a low-dimensional feature vector. Finally, battery capacity degradation is estimated using the geodesic distance on the manifold between the initial and the most recent features. Verification experiments were conducted using data obtained under different operating and aging conditions. Results suggest that the proposed visual cognition approach provides a highly accurate means of estimating battery capacity and thus offers a promising method derived from the emerging field of cognitive computing.


2016 ◽  
Vol 4 (33) ◽  
pp. 12850-12857 ◽  
Author(s):  
Zheng Yi ◽  
Qigang Han ◽  
Ping Zan ◽  
Yong Cheng ◽  
Yaoming Wu ◽  
...  

A novel strategy to fabricate SnO2@TiO2 composite is developed. As an anode material, the obtained composite exhibits enhanced electrochemical performances.


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