A novel method to prepare a highly porous separator based on nanocellulose with multi-scale pore structures and its application for rechargeable lithium ion batteries

We report a novel method to fabricate lithium-ion batteries cathodes with the NH4F pretreatment. In this study, NH4F-pretreated Li1.25Ni0.20Fe0.13Co0.33Mn0.33O2 hollow nano-micro hierarchical microspheres were synthesized for use as cathode materials. The X-ray diffraction patterns of NH4F-pretreated Li1.25Ni0.20Co0.33Fe0.13Mn0.33O2 were analyzed with the RIETAN-FP software program, and the results showed that the samples possess a layered α-NaFeO2 structure. The effects of pretreatment with NH4F on the electrochemical performance of the pristine material were evaluated through charge/discharge cycling, the rate performance, and electrochemical impedance spectroscopy (EIS). Pretreatment with NH4F significantly improved the discharge capacities and coulombic efficiencies of Li1.25Ni0.20Co0.33Fe0.13Mn0.33O2 in the first cycle and during subsequent electrochemical cycling. The sample pretreated with an appropriate amount of NH4F (NFCM 90) showed the highest discharge capacity (209.1 mA h g−1) and capacity retention (85.2% for 50 cycles at 0.1 C). The EIS results showed that the resistance of the NFCM 90 sample (76.32 Ω) is lower than that of the pristine one (206.2 Ω).

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Highly porous structure strategy to improve the SnO2 electrode performance for lithium-ion batteries

Physical Chemistry Chemical Physics ◽

10.1039/c3cp54144d ◽

2014 ◽

Vol 16 (9) ◽

pp. 4115 ◽

Cited By ~ 41

Author(s):

Ting Yang ◽

Bingan Lu

Keyword(s):

Porous Structure ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

Electrode Performance ◽

Sno2 Electrode ◽

Highly Porous

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Highly porous single ion conducting polymer electrolyte for advanced lithium-ion batteries via facile water-induced phase separation process

Journal of Membrane Science ◽

10.1016/j.memsci.2018.09.052 ◽

2018 ◽

Vol 568 ◽

pp. 22-29 ◽

Cited By ~ 20

Author(s):

Jiaming Dong ◽

Yunfeng Zhang ◽

Jiaying Wang ◽

Zehui Yang ◽

Yubao Sun ◽

...

Keyword(s):

Phase Separation ◽

Lithium Ion Batteries ◽

Polymer Electrolyte ◽

Conducting Polymer ◽

Lithium Ion ◽

Separation Process ◽

Phase Separation Process ◽

Ion Conducting ◽

Highly Porous ◽

Ion Conducting Polymer

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SOH Estimation of Lithium-Ion Battery Pack Based on Integrated State Information from Cells

Applied Sciences ◽

10.3390/app10196637 ◽

2020 ◽

Vol 10 (19) ◽

pp. 6637

Author(s):

Xiaohong Wang ◽

Wenhui Fan ◽

Shixiang Li ◽

Xinjun Li ◽

Lizhi Wang

Keyword(s):

Lithium Ion Batteries ◽

Lithium Ion ◽

Battery Pack ◽

Accurate Estimation ◽

The Novel ◽

State Information ◽

Battery Packs ◽

New Energy ◽

Interactive Relationship ◽

Novel Method

Accompanied by the development of new energy resources, lithium-ion batteries have been used widely in various fields. Due to the significant influence of system performance, much attention has been paid to the accurate estimation and prediction about health status of lithium-ion batteries. In a battery pack, the structure connection causes sophisticated interaction between cells, or between the cells and the pack. Therefore, the degradation of any cell is the result of the deterioration of conjoint cells, and a rapid degradation speed for any individual cell can lead to the accelerated degradation of others beyond expectation, which is one of the primary reasons why the State of Health and life cannot be calculated precisely. To solve this problem, a novel method based on integrated state information from cells has been proposed to estimate status of packs, considering about the degradation effect that cells contribute to the corresponding pack. Using this method, the interactive relationship was described in the form of a neural network in order to mine the effect from the inter-degradation between cells. It was proven that the novel method had better performance than a method based only on the degradation indicators from battery packs.

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