scholarly journals Enhanced capacity and cycle life of nitrogen-doped activated charcoal anode for the lithium ion battery: a solvent-free approach

RSC Advances ◽  
2017 ◽  
Vol 7 (27) ◽  
pp. 16505-16512 ◽  
Author(s):  
Chandrasekar M. Subramaniyam ◽  
N. R. Srinivasan ◽  
Zhixin Tai ◽  
Hua Kun Liu ◽  
Shi Xue Dou

Herein, we investigated the electrochemical performance of nitrogen-doped commercial activated charcoal (R-AC) for lithium-ion batteries (LIBs).

2016 ◽  
Vol 4 (40) ◽  
pp. 15302-15308 ◽  
Author(s):  
Zhigao Luo ◽  
Jiang Zhou ◽  
Lirong Wang ◽  
Guozhao Fang ◽  
Anqiang Pan ◽  
...  

We report the synthesis of a novel 2D hybrid nanosheet constructed by few layered MoSe2 grown on reduced graphene oxide (rGO), which exhibits excellent electrochemical performance as anodes for lithium ion batteries.


2017 ◽  
Vol 41 (21) ◽  
pp. 12901-12909 ◽  
Author(s):  
Chunfeng Shao ◽  
Ziqiang Wang ◽  
Errui Wang ◽  
Shujun Qiu ◽  
Hailiang Chu ◽  
...  

Guanine was, for the first time, used as a nitrogen source during the synthesis of nitrogen-doped porous carbons (NMCs) with enhanced electrochemical performance.


Author(s):  
Tonghui Cui ◽  
Zhuoyuan Zheng ◽  
Pingfeng Wang

Abstract As one of the significant enablers of portable devices and electric vehicles, lithium-ion batteries are drawing much attention for their high energy density and low self-discharging rate. A major hindrance to their further development has been the “range anxiety”, that fast-charging of Li-ion battery is not attainable without sacrificing battery life. In the past, much effort has been carried out to resolve such a problem by either improve the battery design or optimize the charging/discharging protocols, while limited work has been done to address the problem simultaneously, or through a control co-design framework, for a system-level optimum. The control co-design framework is ideal for lithium-ion batteries due to the strong coupling effects between battery design and control optimization. The integration of such coupling effects can lead to improved performances as compared with traditional sequential optimization approaches. However, the challenge of implementing such a co-design framework has been updating the dynamics efficiently for design variations. In this study, we optimize the charging time and cycle life of a lithium-ion battery as a control co-design problem. Specifically, the anode volume fraction and particle size, and the corresponding charging current profile are optimized for a minimum charging time with health-management considerations. The battery is modeled as a coupled electro-thermal-aging dynamical system. The design-dependent dynamics is parameterized thru a Gaussian Processes model, that has been trained with high-fidelity multiphysics simulation samples. A nested co-design approach was implemented using direct transcription, which achieves a better performance than the sequential design approach.


2015 ◽  
Vol 3 (12) ◽  
pp. 6291-6296 ◽  
Author(s):  
Tingzhou Yang ◽  
Tao Qian ◽  
Mengfan Wang ◽  
Jie Liu ◽  
Jinqiu Zhou ◽  
...  

We report ultralong cycle-life lithium ion batteries based on nitrogen-doped graphene/MnO2 hybrids.


RSC Advances ◽  
2014 ◽  
Vol 4 (101) ◽  
pp. 57430-57435 ◽  
Author(s):  
Zhongsheng Wen ◽  
Zhongyuan Zhang ◽  
Guanqin Wang

A novel approach to getting long cycle life for silicon nanowires via homostructured interface from nonequilibrium Si–Au catalysts is proposed.


RSC Advances ◽  
2015 ◽  
Vol 5 (69) ◽  
pp. 56299-56303 ◽  
Author(s):  
Zhaoxia Cao ◽  
Yanmin Ding ◽  
Jun Zhang ◽  
Qiuxian Wang ◽  
Zhenpu Shi ◽  
...  

Submicron peanut-like MnCO3 is prepared by a facile homogeneous precipitation and delivers better electrochemical performance as an anode material for lithium ion battery.


RSC Advances ◽  
2016 ◽  
Vol 6 (39) ◽  
pp. 33022-33030 ◽  
Author(s):  
Ismail Alperen Ayhan ◽  
Qi Li ◽  
Praveen Meduri ◽  
Hyukkeun Oh ◽  
Ganesh R. Bhimanapati ◽  
...  

Electrochemical performance of lithium-ion battery anodes can be enhanced by optimized inter-particle distance based on composition change.


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