Novel design of ultra-fast Si anodes for Li-ion batteries: crystalline Si@amorphous Si encapsulating hard carbon

Nanoscale ◽  
2014 ◽  
Vol 6 (18) ◽  
pp. 10604-10610 ◽  
Author(s):  
Chanhoon Kim ◽  
Minseong Ko ◽  
Seungmin Yoo ◽  
Sujong Chae ◽  
Sinho Choi ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Li Ion Batteries ◽  
Hard Carbon ◽  
Charge Rate ◽  
Li Ion ◽  
Si Anodes ◽  
Amorphous Si ◽  
Novel Design ◽  
Nanocrystalline Si

Nanocrystalline Si (c-Si) dispersed in amorphous Si (a-Si) encapsulating hard carbon (HC) has been synthesized as a new anode material for next generation lithium-ion batteries. An excellent cycle retention of 80% was exhibited for a HC@c-Si@a-Si/LiCoO2 full cell after 160 cycles at 1 C discharge/charge rate.

Overcharge protection of lithium-ion batteries with phenothiazine redox shuttles

2021 ◽  
Author(s):  
Susan A. Odom
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Li Ion Batteries ◽  
Phenothiazine Derivatives ◽  
Redox Shuttles ◽  
Li Ion ◽  
Overcharge Protection

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

scholarly journals Parameter optimization and yield prediction of cathode coating separation process for direct recycling of end-of-life lithium-ion batteries

RSC Advances ◽  
2021 ◽  
Vol 11 (39) ◽  
pp. 24132-24136
Author(s):  
Liurui Li ◽  
Tairan Yang ◽  
Zheng Li
Keyword(s):  
Lithium Ion Batteries ◽  
End Of Life ◽  
Lithium Ion ◽  
Separation Process ◽  
Yield Prediction ◽  
Li Ion Batteries ◽  
Treatment Efficiency ◽  
Control Factors ◽  
Li Ion ◽  
Pre Treatment

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

Metal–organic nanofibers as anodes for lithium-ion batteries

RSC Advances ◽  
2015 ◽  
Vol 5 (26) ◽  
pp. 20386-20389 ◽  
Author(s):  
Chongchong Zhao ◽  
Cai Shen ◽  
Weiqiang Han
Keyword(s):  
Amino Acid ◽  
Lithium Ion Batteries ◽  
Anode Materials ◽  
Lithium Ion ◽  
Copper Nitrate ◽  
Li Ion Batteries ◽  
Metal Organic ◽  
Li Ion

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

Alternative Anodes for Low Temperature Lithium-Ion Batteries

2021 ◽  
Author(s):  
Gearoid A Collins ◽  
Hugh Geaney ◽  
Kevin Michael Ryan
Keyword(s):  
Low Temperature ◽  
Lithium Ion Batteries ◽  
Electric Vehicles ◽  
Lithium Ion ◽  
Li Ion Batteries ◽  
Li Ion ◽  
Critical Components

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...

Silicon oxycarbide ceramics as anodes for lithium ion batteries: influence of carbon content on lithium storage capacity

RSC Advances ◽  
2016 ◽  
Vol 6 (106) ◽  
pp. 104597-104607 ◽  
Author(s):  
Monika Wilamowska-Zawlocka ◽  
Paweł Puczkarski ◽  
Zofia Grabowska ◽  
Jan Kaspar ◽  
Magdalena Graczyk-Zajac ◽  
...  
Keyword(s):  
Carbon Content ◽  
Lithium Ion Batteries ◽  
Storage Capacity ◽  
Lithium Ion ◽  
Silicon Oxycarbide ◽  
Synthesis And Characterization ◽  
Li Ion Batteries ◽  
Lithium Storage ◽  
Li Ion

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.

Capacity Loss Estimation For Li-Ion Batteries Based On A Semi-Empirical Model

2021 ◽  
Author(s):  
Mohammed Rabah ◽  
Eero Immonen ◽  
Sajad Shahsavari ◽  
Mohammad-Hashem Haghbayan ◽  
Kirill Murashko ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Empirical Model ◽  
Lithium Ion ◽  
Average Error ◽  
Li Ion Batteries ◽  
Capacity Loss ◽  
Capacity Degradation ◽  
Battery Capacity ◽  
Li Ion ◽  
Semi Empirical

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.

scholarly journals Lithium‐Ion Batteries: Cyclic Aminosilane‐Based Additive Ensuring Stable Electrode–Electrolyte Interfaces in Li‐Ion Batteries (Adv. Energy Mater. 15/2020)

2020 ◽  
Vol 10 (15) ◽  
pp. 2070069
Author(s):  
Koeun Kim ◽  
Daeyeon Hwang ◽  
Saehun Kim ◽  
Sung O Park ◽  
Hyungyeon Cha ◽  
...  
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Li Ion Batteries ◽  
Li Ion ◽  
Energy Mater

scholarly journals Effect of Prelithiation Process for Hard Carbon Negative Electrode on the Rate and Cycling Behaviors of Lithium-Ion Batteries

Batteries ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 71 ◽  
Author(s):  
Yusuke Abe ◽  
Tomoaki Saito ◽  
Seiji Kumagai
Keyword(s):  
Lithium Ion Batteries ◽  
Current Density ◽  
High Current Density ◽  
Negative Electrode ◽  
Lithium Ion ◽  
High Current ◽  
Hard Carbon ◽  
Li Ion ◽  
Charge Discharge ◽  
Ion Insertion

Two prelithiation processes (shallow Li-ion insertion, and thrice-repeated deep Li-ion insertion and extraction) were applied to the hard carbon (HC) negative electrode (NE) used in lithium-ion batteries (LIBs). LIB full-cells were assembled using Li(Ni0.5Co0.2Mn0.3)O2 positive electrodes (PEs) and the prelithiated HC NEs. The assembled full-cells were charged and discharged under a low current density, increasing current densities in a stepwise manner, and then constant under a high current density. The prelithiation process of shallow Li-ion insertion resulted in the high Coulombic efficiency (CE) of the full-cell at the initial charge-discharge cycles as well as in a superior rate capability. The prelithiation process of thrice-repeated Li-ion insertion and extraction attained an even higher CE and a high charge-discharge specific capacity under a low current density. However, both prelithiation processes decreased the capacity retention during charge-discharge cycling under a high current density, ascertaining a trade-off relationship between the increased CE and the cycling performance. Further elimination of the irreversible capacity of the HC NE was responsible for the higher utilization of both the PE and NE, attaining higher initial performances, but allowing the larger capacity to fade throughout charge-discharge cycling.

Prospectives for the Use of Li-Ion Batteries in Hybrid Stand-Alone Power Sources

2019 ◽  
Vol 20 (2) ◽  
Author(s):  
Sergey Khantimerov ◽  
Ranis Fatykhov ◽  
Nail Suleimanov
Keyword(s):  
Comparative Analysis ◽  
Energy Density ◽  
Service Life ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Li Ion Batteries ◽  
Power Sources ◽  
Specific Energy Density ◽  
Li Ion ◽  
And Performance

Abstract In this paper, the possibility of using lithium-ion batteries in hybrid stand-alone power sources is considered. The article gives a comparative analysis of the energy and performance characteristics, the service life of lead-acid and lithium-ion batteries. It is shown that the longer service life and the specific energy density, the absence of the need for constant monitoring of the main parameters and the ability to preserve the original capacity at increased discharge currents, open the possibility of using lithium-ion batteries in hybrid stand-alone power sources.

Diagnostics and Prognostics of Lithium-Ion Batteries

2015 ◽  
Author(s):  
Zhimin Xi ◽  
Rong Jing ◽  
Cheol Lee
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
State Of Charge ◽  
Data Driven ◽  
State Of Health ◽  
Li Ion Batteries ◽  
Battery State Of Charge ◽  
Li Ion ◽  
Useful Life

This paper investigates recent research on battery diagnostics and prognostics especially for Lithium-ion (Li-ion) batteries. Battery diagnostics focuses on battery models and diagnosis algorithms for battery state of charge (SOC) and state of health (SOH) estimation. Battery prognostics elaborates data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH. Readers will learn not only basics but also very recent research developments on battery diagnostics and prognostics.

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