Alternative Anodes for Low Temperature Lithium-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...

2021 ◽  
Vol 105 (1) ◽  
pp. 21-28
Author(s):  
Tomas Kazda ◽  
Veronika Gavalierova ◽  
Petr Dostal ◽  
Michal Šustr ◽  
Martin Mačák ◽  
...  

Lithium-ion batteries are the most used type of batteries for portable devices and electric vehicles. In applications as electric vehicles, they must serve for many years and it is necessary to diagnose their condition. This article is focused on verifying the possibility of detecting changes that occur in the battery during its cycling using a non-destructive method of acoustic emission.


Author(s):  
Partha P Paul ◽  
Vivek Thampy ◽  
Chuntian Cao ◽  
Hans-Georg Steinrueck ◽  
Tanvir R Tanim ◽  
...  

Realization of extreme fast charging (XFC, ≤15 minutes) of lithium-ion batteries is imperative for the widespread adoption of electric vehicles. However, dramatic capacity fading is associated with XFC, limiting its...


Author(s):  
Young-Han Lee ◽  
Yoon Hwa ◽  
Cheol-Min Park

The development of high-capacity and high-power lithium-ion batteries (LIBs) is a key challenge to meet the increasing demand for advanced mobile electronics and electric vehicles. A novel high-capacity and high-power...


RSC Advances ◽  
2018 ◽  
Vol 8 (45) ◽  
pp. 25325-25333 ◽  
Author(s):  
Lifu Li ◽  
Junwei Hou

It is difficult to use conventional capacity detection methods to determine nondestructively and rapidly the capacity of lithium-ion (Li-ion) batteries used in electric vehicles.


2012 ◽  
Vol 528 ◽  
pp. 202-205 ◽  
Author(s):  
Guang Jin Zhao ◽  
Wen Long Wu ◽  
Wu Bin Qiu ◽  
Shao Lin Liu ◽  
Gang Wang

This manuscript introduces and reviews the background, necessity, opportunities, and recent research progresses for investigating and applying the secondary use of plug-in hybrid electric vehicles (PHEVs) and electric vehicles (EVs) lithium-ion (Li-ion) batteries in stationary applications. And the motivation, objective, and plans of our PHEV/EV lithium-ion battery secondary-use program are also described in detail.


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.


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.


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.


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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