Synthesis and Characterization of Lithiated Nickel Based Metal Oxides as Positive Electrode Materials for Lithium Ion Batteries

1999 ◽  
Vol 575 ◽  
Author(s):  
S. Fujitani ◽  
H. Fujimoto ◽  
T. Nohma ◽  
K. Nishio

ABSTRACTLiNi1−xCoxO2(x=0.2, 0.3, 0.4) was synthesized through a sintering process from two different types of source materials of nickel and cobalt, namely each respective hydroxide and oxide, and composite hydroxide. Influence of the difference on charge-discharge characteristics, crystal structure and distribution of the metal elements was investigated.The composite hydroxides formulated in Ni1−xCox(OH)2 as the source material brought better homogenized composite lithiated nickel based metal oxides exhibiting the larger specific discharge capacity. Further modification of LiNi0.6Co0.4)2 by manganese through sintering from the composite hydroxide including manganese brought a good charge-discharge cycle performance as well as a high discharge capacity of 160mAh/g level.A cylindrical test cell of 18mm in diameter and 65mm in height using the LiNi0.6Co0.3Mn0.1O2 exhibited discharge capacity of 1700mAh which is larger than that using LiCoO2, and also exhibited a competitive charge-discharge cycle performance to commercialized lithium ion batteries.

2015 ◽  
Vol 3 (7) ◽  
pp. 3659-3666 ◽  
Author(s):  
Gang Wang ◽  
Jun Peng ◽  
Lili Zhang ◽  
Jun Zhang ◽  
Bin Dai ◽  
...  

Nanostructured electrode materials have been extensively studied with the aim of enhancing lithium ion and electron transport and lowering the stress caused by their volume changes during the charge–discharge processes of electrodes in lithium-ion batteries.


RSC Advances ◽  
2015 ◽  
Vol 5 (53) ◽  
pp. 42455-42460 ◽  
Author(s):  
Shogo Esaki ◽  
Motoaki Nishijima ◽  
Shigeomi Takai ◽  
Takeshi Yao

The cycle performance of LiMn2O4 with “Nano Inclusions” is higher than that of LiMn2O4 without “Nano Inclusions” and the discharge capacity of LiMn2O4 with “Nano Inclusions” heat-treated for 4 h surpassed that of LiMn2O4 without it at over 31 cycles.


2016 ◽  
Vol 4 (19) ◽  
pp. 7289-7296 ◽  
Author(s):  
T. Kimijima ◽  
N. Zettsu ◽  
K. Yubuta ◽  
K. Hirata ◽  
K. Kami ◽  
...  

Highly dispersed primary Li(Ni1/3Co1/3Mn1/3)O2 crystals, which showed high discharge capacity at a high C-rate, were grown from a Li2MoO4 flux.


2013 ◽  
Vol 345 ◽  
pp. 172-175
Author(s):  
Shi Jun Yu ◽  
Xu Han ◽  
Da Wei Yu ◽  
Yan Ming Chen ◽  
Xiao Li Wang

Lithium ion batteries have been considered as the most effective and practical technologies for electrochemical energy storage. To meet the demand for lithium ion batteries with high energy density and excellent cycle performance, numerous efforts have been devoted to the development of new electrode materials. Electrochemically active metal oxides have emerged as the most promising candidates for the anode materials in the next generation lithium ion batteries duo to their high theoretical capacities and natural abundance. However, the extremely high volume change induced by the alloying reaction with lithium in the bottleneck for the commercialization of these materials. To overcome these obstacles, carbonaceous materials are commonly introduced as matrices to absorb the volume changes and improve the structural stability of the electrode materials. Hence, the present article describes the synthetic pathway of carbon-coated nanomaterials and applications.


2015 ◽  
Vol 3 (42) ◽  
pp. 21290-21297 ◽  
Author(s):  
Bing Li ◽  
Chao Li ◽  
Jijun Cai ◽  
Jinbao Zhao

Lithium-rich manganese-based layered oxides with a composition of xLi2MnO3·(1 − x)LiMO2 (M = Mn, Co, Ni, etc.) are attractive, due to their high discharge capacity.


2021 ◽  
Author(s):  
K. Kalaiselvi ◽  
S. Premlatha ◽  
M. Raju ◽  
Paruthimal Kalaignan Guruvaiah

Abstract LiNi1/3Mn1/3Co1/3O2 as a promising cathode material for lithium-ion batteries was synthesized by a sol-gel method using nitrate precursor calcined at 800°C for 10 hours. The crystallite nature of samples is confirmed from X-ray diffraction analysis. SEM and TEM analyses were used to investigate the surface morphology of the prepared samples. It was found that, highly crystalline polyhedral RuO2 nanoparticles are well doped on the surface of pristine LiNi1/3Mn1/3Co1/3O2 with a size of about approximately 200 nm. The chemical composition of the prepared samples was characterized by EDX and XPS analyses. The electrochemical performance of the proposed material was studied by cyclic voltammetry and charge/discharge analyses. The electrode kinetics of the samples was studied by electrochemical impedance spectroscopy. The developed RuO2 doping may provide an effective strategy to design and synthesize the advanced electrode materials for lithium ion batteries. The doping strategy has dramatically increased the capacity retention from 74 % to 90% with a high discharge capacity of 251.2 mAhg− 1. 3 % RuO2-doped LiNi1/3Mn1/3Co1/3O2 cathode materials have showed the similar characteristics of two potential plateaus obtained at 2.8 and 4.2 V compared with un doped electrode cathode material. These results revealed the enhanced performance of RuO2- doped LiNi1/3Mn1/3Co1/3O2 during insertion and extraction of lithium ions compared to pristine material.


Author(s):  
Yongsheng Li ◽  
Akhil Garg ◽  
Shruti Shevya ◽  
Wei Li ◽  
Liang Gao ◽  
...  

Abstract Predicting discharge capacities of Lithium-ion batteries (LIBs) is essential for safe operation of the battery in Electric Vehicles (EVs). In this paper, a Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) based deep learning is proposed to estimate the discharge capacity of LIBs. The parameters such as the voltage, current, temperature and charge/discharge capacity are recorded from a Battery Management System (BMS) at various stages of the charge-discharge cycles. Data was recorded keeping the stress constant because this parameter couldn't be controlled. Two different sets of data were obtained at two magnitudes of stress values. The experiments conducted to collect the data was recorded in cycles, where each cycle was divided into 7 steps. Each testing cycle comprises of charging, discharging, rest and cross validation test. The initial layers are convolutional layers that helps in feature extraction followed by a Long Short Term Memory (LSTM) layer. The evaluation model was done using multiple train test split method. The lower values of weighted mean squared error (MSE) obtained suggests that discharge capacity estimation using CNN-LSTM is a reliable method when compared to the conventional voltage-based method. The CNN-LSTM program can further be compiled in BMS in EVs to obtain real time status for State of Charge (SOC) and State of Health (SOH) values.


RSC Advances ◽  
2014 ◽  
Vol 4 (89) ◽  
pp. 48438-48442 ◽  
Author(s):  
Zhong Su ◽  
Chenglong Gao ◽  
Hanlin Li ◽  
Sanjay Nanda ◽  
Chao Lai ◽  
...  

A graphene-wrapped sulfur/carbon nanotubes composite is prepared via a ball-milling route, which can help realize the large-scale synthesis of electrode materials with good consistency. The obtained composite shows a high discharge capacity and good cycle performance.


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