Unveiling the origin of high reversible capacity in Li-rich layered oxide in Li-ion batteries

离子 锂(药物) 尖晶石 电解质 锂离子电池 电化学 无机化学 储能 阳极
作者
Hu Huicong,Maolin Zhang,Dongyan Zhang,Ri-ichi Murakami,Pangpang Wang,Yangxi Yan,Zhimin Li
出处
期刊:Materials research express [IOP Publishing]
卷期号:6 (11): 115547-
标识
DOI:10.1088/2053-1591/ab4ee9
摘要

Lithium-rich layered oxides are promising cathode candidates for Li-ion batteries due to their high specific capacity than the commercial cathode material, LiCoO2. However, the mechanism of the incredibly high capacity and inherent problems of lithium-rich layered oxides, such as low initial Columbic efficiency and poor capacity retention, has not been explored in detail. Herein, lithium-rich layered oxide, Li1.2 Mn0.54Ni0.13Co0.13O2, has been synthesized by sol-gel method, which could be charged to 5 V (versus Li/Li+) and delivered a specific capacity of 248 mAh g−1. Then, a combination of XRD Rietveld refinement and HRTEM analysis has been employed to investigate the microstructure and phase composition of as-prepared Li1.2 Mn0.54Ni0.13Co0.13O2. The results revealed that Li1.2 Mn0.54Ni0.13Co0.13O2 nanoparticles consist of different phases, including LiCoO2 with R-3m symmetry, LiNiO2 with R-3m symmetry, LiMnO2 with R-3m symmetry, Li2MnO3 with c2/m symmetry, and Li2MnO3 with cmc/21 symmetry. It has been demonstrated that O2-Li2MnO3 phase with cmc/21 symmetry is responsible for the high reversible capacity of Li1.2 Mn0.54Ni0.13Co0.13O2 compound. However, the complex phase composition caused abundant stacking faults in the nanoparticles, which led to poor rate performance. The present study provides useful insights into the charge storage mechanism of a promising Li-ion battery cathode, Li1.2 Mn0.54Ni0.13Co0.13O2, which can be used for the development of novel electrode materials for next-generation LIBs due to its lower consumption of element Co and good electrochemical performance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Lin发布了新的文献求助10
刚刚
2秒前
3秒前
3秒前
LBJBowen23发布了新的文献求助10
4秒前
111发布了新的文献求助10
5秒前
shadow发布了新的文献求助30
6秒前
图图完成签到,获得积分10
6秒前
敏感寒云完成签到,获得积分10
7秒前
科研通AI6.3应助秋秋采纳,获得10
8秒前
8秒前
8秒前
10秒前
李健的粉丝团团长应助Qin采纳,获得10
12秒前
12秒前
科研通AI6.2应助筱12采纳,获得10
13秒前
shine完成签到,获得积分10
14秒前
hdz发布了新的文献求助10
15秒前
16秒前
岳薪五万完成签到,获得积分10
16秒前
高高完成签到,获得积分10
17秒前
px完成签到,获得积分20
18秒前
思源应助我爱晒太阳采纳,获得30
18秒前
蓝天发布了新的文献求助10
22秒前
ningqing完成签到,获得积分10
23秒前
23秒前
我爱晒太阳完成签到,获得积分20
25秒前
优雅的雁凡完成签到,获得积分10
28秒前
大个应助hdz采纳,获得10
30秒前
shadow发布了新的文献求助30
30秒前
阿方发布了新的文献求助10
31秒前
Orange应助Chen采纳,获得10
31秒前
干净的琦完成签到,获得积分0
32秒前
筱12发布了新的文献求助10
33秒前
暖楠完成签到 ,获得积分10
36秒前
安详盼烟完成签到 ,获得积分20
37秒前
37秒前
hdz完成签到,获得积分20
38秒前
沉默凡英完成签到,获得积分20
38秒前
怡然的醉卉完成签到,获得积分20
39秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356344
求助须知:如何正确求助?哪些是违规求助? 8171234
关于积分的说明 17203500
捐赠科研通 5412276
什么是DOI,文献DOI怎么找? 2864564
邀请新用户注册赠送积分活动 1842098
关于科研通互助平台的介绍 1690360