Supercritical fluid methods for synthesizing cathode materials towards lithium ion battery applications

RSC Advances ◽  
2014 ◽  
Vol 4 (52) ◽  
pp. 27452-27470 ◽  
Author(s):  
M. K. Devaraju ◽  
Q. D. Truong ◽  
T. Tomai ◽  
I. Honma
Keyword(s):  
Energy Storage ◽  
Lithium Ion Battery ◽  
Supercritical Fluid ◽  
Cathode Materials ◽  
Lithium Battery ◽  
Lithium Ion ◽  
Battery Materials ◽  
Size And Shape ◽  
Energy Storage Applications

Supercritical fluid methods are proven to be very beneficial in controlling the size and shape of lithium battery materials. We hope that this review provides useful information on the production of these materials via supercritical fluid methods for energy storage applications, and that they could be extended for the synthesis of a variety of technologically potential materials.

scholarly journals An Overview of Lithium-Ion Battery Cathode Materials

2011 ◽  
Vol 1363 ◽  
Author(s):  
Yixu Wang ◽  
Hsiao-Ying Shadow Huang
Keyword(s):  
Energy Storage ◽  
Lithium Ion Battery ◽  
Cathode Materials ◽  
Lithium Iron Phosphate ◽  
Lithium Ion ◽  
Iron Phosphate ◽  
High Energy ◽  
Rechargeable Batteries ◽  
Environmental Benefits ◽  
Energy Storage Devices

ABSTRACTThe need for the development and deployment of reliable and efficient energy storage devices, such as lithium-ion rechargeable batteries, is becoming increasingly important due to the scarcity of petroleum. In this work, we provide an overview of commercially available cathode materials for Li-ion rechargeable batteries and focus on characteristics that give rise to optimal energy storage systems for future transportation modes. The study shows that the development of lithium-iron-phosphate (LiFePO4) batteries promises an alternative to conventional lithiumion batteries, with their potential for high energy capacity and power density, improved safety, and reduced cost. This work contributes to the fundamental knowledge of lithium-ion battery cathode materials and helps with the design of better rechargeable batteries, and thus leads to economic and environmental benefits.

Prognostics of the state of health for lithium-ion battery packs in energy storage applications

Energy ◽  
2021 ◽  
pp. 122189
Author(s):  
Chun Chang ◽  
Yutong Wu ◽  
Jiuchun Jiang ◽  
Yan Jiang ◽  
Aina Tian ◽  
...  
Keyword(s):  
Energy Storage ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
The State ◽  
State Of Health ◽  
Battery Packs ◽  
Energy Storage Applications

scholarly journals Lithium Ion Battery Degradation: What you need to know

2021 ◽  
Author(s):  
Jacqueline Sophie Edge ◽  
Simon O'Kane ◽  
Ryan Prosser ◽  
Niall D. Kirkaldy ◽  
Anisha N Patel ◽  
...  
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Consumer Electronics ◽  
Battery Degradation ◽  
Energy Storage Applications ◽  
The Many

The expansion of lithium-ion batteries from consumer electronics to larger-scale transport and energy storage applications has made understanding the many mechanisms responsible for battery degradation increasingly important. The literature in...

Size and shape control of LiFePO4 nanocrystals for better lithium ion battery cathode materials

Nano Research ◽  
2013 ◽  
Vol 6 (7) ◽  
pp. 469-477 ◽  
Author(s):  
Caiyun Nan ◽  
Jun Lu ◽  
Lihong Li ◽  
Lingling Li ◽  
Qing Peng ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Cathode Materials ◽  
Shape Control ◽  
Lithium Ion ◽  
Size And Shape

scholarly journals Life prediction of lithium-ion battery based on a hybrid model

2020 ◽  
Vol 38 (5) ◽  
pp. 1854-1878
Author(s):  
Xu-Dong Chen ◽  
Hai-Yue Yang ◽  
Jhang-Shang Wun ◽  
Ching-Hsin Wang ◽  
Ling-Ling Li
Keyword(s):  
Energy Storage ◽  
Lithium Ion Battery ◽  
Mean Square Error ◽  
Lithium Battery ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Support Vector ◽  
Mean Square ◽  
Combined Model

Lithium battery is a new energy equipment. Because of its long service life and high energy density, it is widely used in various industries. However, as the number of uses increases, the life of the energy battery gradually decreases. Aging of battery will bring security risks to energy storage system. Through the life prediction of energy lithium battery, the health status of energy battery is assessed, so as to improve the safety of energy storage system. Therefore, a hybrid model is proposed to predict the life of the energy lithium battery. The lithium-ion battery capacity data are always divided into two scales, which are predicted by extreme learning machine and support vector machine model. The energy lithium-ion battery capacity attenuation data were obtained through experiments. The original signal is decomposed into five layers by using the wavelet basis function to denoise the signal. Finally, the denoised signal is synthesized. The noise reduction effect of each wavelet was analyzed. The analysis results show that the mean square error value of the Haar wavelet is 5.31e-28, which indicates that the Haar wavelet has the best noise reduction effect. Finally, the combined model was tested by using two sets of experiments. The prediction results of the combined model are compared with those of the single model. The test results show that the prediction results of the combined model are better than the single model for either experiment 1 or experiment 2. Experiment 1 indicated the root mean square error values are 29.58 and 79.68% smaller than the root mean square error values of extreme learning machine and support vector machine. The model proposed in this study has positive significance for the safety improvement of energy storage system and can promote the development and utilization of energy resources.

Molecularly designed, dual-doped mesoporous carbon/SWCNT nanoshields for lithium battery electrode materials

2016 ◽  
Vol 4 (39) ◽  
pp. 14996-15005 ◽  
Author(s):  
Ye-Ri Jang ◽  
Ju-Myung Kim ◽  
Jung-Han Lee ◽  
Sung-Ju Cho ◽  
Guntae Kim ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Control Strategy ◽  
Cathode Materials ◽  
Mesoporous Carbon ◽  
Lithium Battery ◽  
Electrode Materials ◽  
Lithium Ion ◽  
Carbon Shell ◽  
Battery Electrode

An ion/electron-conductive nanoshield based on a SWCNT-embedded, dual-doped mesoporous carbon shell (that was derived from the molecularly designed PVIm[DS]) was presented as an exceptional interfacial control strategy for lithium-ion battery cathode materials.

Sign in / Sign up

Export Citation Format

Share Document