Li ion diffusivity and electrochemical properties of FePO4 nanoparticles acted directly as cathode materials in lithium ion rechargeable batteries

2013 ◽  
Vol 88 ◽  
pp. 287-293 ◽  
Author(s):  
S.M. Zhang ◽  
J.X. Zhang ◽  
S.J. Xu ◽  
X.J. Yuan ◽  
B.C. He
2015 ◽  
Vol 3 (1) ◽  
pp. 404-411 ◽  
Author(s):  
Xuan-Wen Gao ◽  
Yuan-Fu Deng ◽  
David Wexler ◽  
Guo-Hua Chen ◽  
Shu-Lei Chou ◽  
...  

Conductive polypyrrole (PPy)-coated LiNi0.5Mn1.5O4(LNMO) composites are applied as cathode materials in Li-ion batteries, and their electrochemical properties are explored at both room and elevated temperature.


2018 ◽  
Vol 449 ◽  
pp. 412-420 ◽  
Author(s):  
Kumaran Vediappan ◽  
Kadirvelayutham Prasanna ◽  
Swaminathan Shanmugan ◽  
RM Gnanamuthu ◽  
Chang Woo Lee

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sérgio Leonardo Nhapulo ◽  
Jailton Souza de Almeida

AbstractIn this work, we report first-principle calculations of the electrochemical properties of lithitated and delithiated LiMn$$_{1-x}$$ 1 - x Co$$_{x}$$ x BO$$_3$$ 3 ($$x = 0$$ x = 0 , 0.25, 0.5, 0.75, 1) crystals based on the density functional theory (DFT) with the generalized gradient approximation (GGA) and also considering the on-site Coulomb interaction, the so-called Hubbard correction. We found that the top of the valence band and the bottom of the conduction band of these crystals are mainly formed by the hybridization of the 3d orbitals of mixed Mn$$_{1-x}$$ 1 - x Co$$_{x}$$ x ions and oxygen 2p orbitals. We observed a band gap narrowing with an increase of cobalt concentration and that the Hubbard correction implies a better theoretical description of their electronic structures. When considering the delithiated materials, our calculations show a metallic behavior for intermediate cobalt concentrations ($$x = 0.25$$ x = 0.25 , 0.5, 0.75), which is a good quality for cathodic materials, as it improves the battery discharge process. We also obtained high (4.14 V vs. Li$$^+$$ + /Li$$^0$$ 0 and 4.16 V vs. Li$$^+$$ + /Li$$^0$$ 0 ) open circuit voltage (OCV) values at cobalt concentrations of $$x = 0.5$$ x = 0.5 and 0.75, where we believe that if these high OCV values are accompanied by a high charge storage capacity, these compounds can become promising and useful cathode materials. Finally, our results are in accordance with previous calculations and also with experimental results.


2012 ◽  
Vol 512-515 ◽  
pp. 2028-2031 ◽  
Author(s):  
Shao Li ◽  
Li Wei Mi ◽  
Juan Juan Zhao ◽  
Chang Chun Yang ◽  
Jian Min Zhang ◽  
...  

A series of Li[Ni0.8Co0.1Mn0.1]O2were synthesized with different [Ni0.8Co0.1Mn0.1](OH)2as precursors. Because the precursors were obtained via hydrothermal method at solutions with different ratios of ethanol and distilled water, they present different morphology in details. This phenomenon were inherited by the Li[Ni0.8Co0.1Mn0.1]O2. In addition, as-synthesized materials Li[Ni0.8Co0.1Mn0.1]O2perform distinct electrochemical properties as cathode materials in lithium-ion battery. The results indicate that more ethanol used in this work is effective to modify the surface structure of materials leading to better electrochemical properties. In addition, more ethanol in synthesis process could also improve the density of samples.


Ionics ◽  
2016 ◽  
Vol 22 (9) ◽  
pp. 1551-1556 ◽  
Author(s):  
K. Rajammal ◽  
D. Sivakumar ◽  
Navaneethan Duraisamy ◽  
K. Ramesh ◽  
S. Ramesh

2014 ◽  
Vol 161 (14) ◽  
pp. A2153-A2159 ◽  
Author(s):  
Yuexia Yang ◽  
Ruisong Guo ◽  
Guanglan Cai ◽  
Chao Zhang ◽  
Lan Liu ◽  
...  

2015 ◽  
Vol 1120-1121 ◽  
pp. 554-558 ◽  
Author(s):  
Juan Mei Wang ◽  
Bing Ren ◽  
Ying Lin Yan ◽  
Qing Zhang ◽  
Yan Wang

In this work, spherical LiFePO4/C composite had been synthesized by co-precipitation and spray drying method. The structure, morphology and electrochemical properties of the samples were characterized by X-ray diffraction (XRD), scanning electron micrograph (SEM), transmission electron microscope (TEM), constant current charge-discharge tests and electrochemical impedance spectroscopy (EIS) tests. The spherical LiFePO4/C particles consisted of a number of smaller grains. The results showed that the morphology of LiFePO4/C particles seriously affected the Li-ion diffusion coefficient and electrochemical properties of lithium ion batteries. Electrochemical tests revealed the spherical LiFePO4/C composite had excellent Li-ion diffusion coefficient which was calculated to be 1.065×10-11 cm2/s and discharge capacity of 149 (0.1 C), 139 (0.2 C), 133 (0.5 C), 129 (1 C) and 124 mAhg-1(2 C). After 50 cycles, the capacity retention rate was still 93.5%.


Nanomaterials ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 18
Author(s):  
Tahar Azib ◽  
Claire Thaury ◽  
Fermin Cuevas ◽  
Eric Leroy ◽  
Christian Jordy ◽  
...  

Embedding silicon nanoparticles in an intermetallic matrix is a promising strategy to produce remarkable bulk anode materials for lithium-ion (Li-ion) batteries with low potential, high electrochemical capacity and good cycling stability. These composite materials can be synthetized at a large scale using mechanical milling. However, for Si-Ni3Sn4 composites, milling also induces a chemical reaction between the two components leading to the formation of free Sn and NiSi2, which is detrimental to the performance of the electrode. To prevent this reaction, a modification of the surface chemistry of the silicon has been undertaken. Si nanoparticles coated with a surface layer of either carbon or oxide were used instead of pure silicon. The influence of the coating on the composition, (micro)structure and electrochemical properties of Si-Ni3Sn4 composites is studied and compared with that of pure Si. Si coating strongly reduces the reaction between Si and Ni3Sn4 during milling. Moreover, contrary to pure silicon, Si-coated composites have a plate-like morphology in which the surface-modified silicon particles are surrounded by a nanostructured, Ni3Sn4-based matrix leading to smooth potential profiles during electrochemical cycling. The chemical homogeneity of the matrix is more uniform for carbon-coated than for oxygen-coated silicon. As a consequence, different electrochemical behaviors are obtained depending on the surface chemistry, with better lithiation properties for the carbon-covered silicon able to deliver over 500 mAh/g for at least 400 cycles.


Author(s):  
Sheng Shen ◽  
M. K. Sadoughi ◽  
Xiangyi Chen ◽  
Mingyi Hong ◽  
Chao Hu

Over the past two decades, safety and reliability of lithium-ion (Li-ion) rechargeable batteries have been receiving a considerable amount of attention from both industry and academia. To guarantee safe and reliable operation of a Li-ion battery pack and build failure resilience in the pack, battery management systems (BMSs) should possess the capability to monitor, in real time, the state of health (SOH) of the individual cells in the pack. This paper presents a deep learning method, named deep convolutional neural networks, for cell-level SOH assessment based on the capacity, voltage, and current measurements during a charge cycle. The unique features of deep convolutional neural networks include the local connectivity and shared weights, which enable the model to estimate battery capacity accurately using the measurements during charge. To our knowledge, this is the first attempt to apply deep learning to online SOH assessment of Li-ion battery. 10-year daily cycling data from implantable Li-ion cells are used to verify the performance of the proposed method. Compared with traditional machine learning methods such as relevance vector machine and shallow neural networks, the proposed method is demonstrated to produce higher accuracy and robustness in capacity estimation.


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