Self-sacrificial organic lithium salt enhanced initial Coulombic efficiency for safer and greener lithium-ion batteries

2019 ◽  
Vol 55 (72) ◽  
pp. 10737-10739 ◽  
Author(s):  
Dapeng Wang ◽  
Zhian Zhang ◽  
Bo Hong ◽  
Yanqing Lai

Li2DHBA is proposed as a cathode additive that leaves no residue to compensate for first cycle Li loss in Li-ion batteries.

RSC Advances ◽  
2015 ◽  
Vol 5 (52) ◽  
pp. 42109-42130 ◽  
Author(s):  
Prakash Sengodu ◽  
Abhay D. Deshmukh

Conducting polymers are promising materials for organic–inorganic composites in lithium-ion batteries due to electrical conductivity and high coulombic efficiency, and are able to be cycled hundreds or thousands of times with only small degradation.


2017 ◽  
Vol 53 (59) ◽  
pp. 8324-8327 ◽  
Author(s):  
Yitian Bie ◽  
Jun Yang ◽  
Jiulin Wang ◽  
Jingjing Zhou ◽  
Yanna Nuli

Li2O2 is proposed as a promising cathode additive to compensate the first cycle Li loss in Li-ion batteries.


2021 ◽  
Author(s):  
Susan A. Odom

Overcharge protection of Li-ion batteries with a variety of phenothiazine derivatives.


RSC Advances ◽  
2021 ◽  
Vol 11 (39) ◽  
pp. 24132-24136
Author(s):  
Liurui Li ◽  
Tairan Yang ◽  
Zheng Li

The pre-treatment efficiency of the direct recycling strategy in recovering end-of-life Li-ion batteries is predicted with levels of control factors.


Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4348
Author(s):  
Chi Zhang ◽  
Zheng Wang ◽  
Yu Cui ◽  
Xuyao Niu ◽  
Mei Chen ◽  
...  

The volume expansion during Li ion insertion/extraction remains an obstacle for the application of Sn-based anode in lithium ion-batteries. Herein, the nanoporous (np) Cu6Sn5 alloy and Cu6Sn5/Sn composite were applied as a lithium-ion battery anode. The as-dealloyed np-Cu6Sn5 has an ultrafine ligament size of 40 nm and a high BET-specific area of 15.9 m2 g−1. The anode shows an initial discharge capacity as high as 1200 mA h g−1, and it remains a capacity of higher than 600 mA h g−1 for the initial five cycles at 0.1 A g−1. After 100 cycles, the anode maintains a stable capacity higher than 200 mA h g−1 for at least 350 cycles, with outstanding Coulombic efficiency. The ex situ XRD patterns reveal the reverse phase transformation between Cu6Sn5 and Li2CuSn. The Cu6Sn5/Sn composite presents a similar cycling performance with a slightly inferior rate performance compared to np-Cu6Sn5. The study demonstrates that dealloyed nanoporous Cu6Sn5 alloy could be a promising candidate for lithium-ion batteries.


RSC Advances ◽  
2015 ◽  
Vol 5 (26) ◽  
pp. 20386-20389 ◽  
Author(s):  
Chongchong Zhao ◽  
Cai Shen ◽  
Weiqiang Han

Metal organic nanofibers (MONFs) synthesized from precursors of amino acid and copper nitrate were applied as anode materials for Li-ion batteries.


Author(s):  
Gearoid A Collins ◽  
Hugh Geaney ◽  
Kevin Michael Ryan

Li-ion batteries (LIBs) have become critical components in the manufacture of electric vehicles (EV) as they offer the best all-round performance compared to competing battery chemistries. However, LIB performance at...


RSC Advances ◽  
2016 ◽  
Vol 6 (106) ◽  
pp. 104597-104607 ◽  
Author(s):  
Monika Wilamowska-Zawlocka ◽  
Paweł Puczkarski ◽  
Zofia Grabowska ◽  
Jan Kaspar ◽  
Magdalena Graczyk-Zajac ◽  
...  

We report here on the synthesis and characterization of silicon oxycarbide (SiOC) in view of its application as a potential anode material for Li-ion batteries.


Small ◽  
2021 ◽  
pp. 2102894
Author(s):  
Lin Sun ◽  
Yanxiu Liu ◽  
Jun Wu ◽  
Rong Shao ◽  
Ruiyu Jiang ◽  
...  

Author(s):  
Mohammed Rabah ◽  
Eero Immonen ◽  
Sajad Shahsavari ◽  
Mohammad-Hashem Haghbayan ◽  
Kirill Murashko ◽  
...  

Understanding battery capacity degradation is instrumental for designing modern electric vehicles. In this paper, a Semi-Empirical Model for predicting the Capacity Loss of Lithium-ion batteries during Cycling and Calendar Aging is developed. In order to redict the Capacity Loss with a high accuracy, battery operation data from different test conditions and different Lithium-ion batteries chemistries were obtained from literature for parameter optimization (fitting). The obtained models were then compared to experimental data for validation. Our results show that the average error between the estimated Capacity Loss and measured Capacity Loss is less than 1.5% during Cycling Aging, and less than 2% during Calendar Aging. An electric mining dumper, with simulated duty cycle data, is considered as an application example.


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