Mapping Reaction Mechanism During Overcharge of a LiNiO2/Graphite–Silicon Lithium‐Ion Battery: A Correlative Operando Approach by Simultaneous Gas Analysis and Synchrotron Scattering Techniques

多收费 材料科学 锂(药物) 锂离子电池 电池(电) 同步加速器 石墨 离子 分析化学(期刊) 化学工程 光电子学 热力学 冶金 有机化学 化学 核物理学 医学 功率(物理) 物理 工程类 内分泌学
作者
Quentin Jacquet,Irina Profatilova,Loïc Baggetto,Bouthayna Alrifai,Elisabeth Addes,Paul Chassagne,Nils Blanc,Samuel Tardif,Lise Daniel,Sandrine Lyonnard
出处
期刊:Advanced Energy Materials [Wiley]
标识
DOI:10.1002/aenm.202404080
摘要

Abstract Li‐ion battery degradation processes are multi‐scale, heterogeneous, dynamic, and depend on the battery usage. Degradation mechanisms during overcharge of LiNiO 2 are well known at the material level featuring O 2 gas release and concomitant surface reconstruction of LiNiO 2 . However, there are still debates regarding the role of the high voltage phase formation, so called O1, on gas production. Moreover, little information is available on the effect of produced gases on the cell components (anode or sensors), or the effect of overcharge on electrode level behavior. In this work, we simultaneously measure the gas evolution using operando mass spectrometry while spatially resolving nanostructure and crystallographic lattice parameter changes using operando micro small/wide angle X‐ray scattering (SAXS/WAXS) mapping during the formation and overcharge of a LiNiO 2 /Graphite─Silicon pouch cell. This new correlated operando characterization experiment allowed to (1) confirm the absence of O1 phase even with substantial gas produced at end of charge, (2) unveil the effect of gases on reference electrode and (3) show that overcharge increases in‐plane reaction heterogeneities by creating local degraded regions lagging behind the ensemble electrochemistry. These findings will be important to optimize ageing of devices based on similar chemistries, in particular Ni‐rich cathodes, while showing the strength of correlated characterization leading to more efficient and robust information on complex mechanisms.
最长约 10秒,即可获得该文献文件

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
刚刚
ZHIXIANGWENG发布了新的文献求助10
1秒前
英姑应助小星云采纳,获得10
1秒前
orixero应助WQ采纳,获得10
2秒前
3秒前
飞鸿踏雪发布了新的文献求助30
3秒前
研友_Z7Xvl8发布了新的文献求助10
3秒前
健壮的尔烟完成签到,获得积分10
4秒前
4秒前
啊啊啊啊完成签到 ,获得积分10
4秒前
跨进行发布了新的文献求助10
4秒前
只只发布了新的文献求助10
5秒前
打打应助lsq108采纳,获得10
5秒前
斯文败类应助顾化蛹采纳,获得10
6秒前
6秒前
chx123发布了新的文献求助10
7秒前
激昂的飞松完成签到,获得积分10
7秒前
务实白开水完成签到,获得积分10
8秒前
8秒前
9秒前
@-@发布了新的文献求助10
9秒前
orixero应助陈晚拧采纳,获得10
10秒前
LYT发布了新的文献求助10
11秒前
爆米花应助科研通管家采纳,获得10
11秒前
SciGPT应助科研通管家采纳,获得20
11秒前
李爱国应助科研通管家采纳,获得10
11秒前
彭于晏应助科研通管家采纳,获得10
11秒前
SciGPT应助科研通管家采纳,获得10
11秒前
light发布了新的文献求助20
11秒前
乐乐应助科研通管家采纳,获得10
11秒前
打打应助科研通管家采纳,获得10
11秒前
wanci应助科研通管家采纳,获得10
11秒前
orixero应助科研通管家采纳,获得10
11秒前
科研通AI5应助科研通管家采纳,获得10
12秒前
annafan应助科研通管家采纳,获得10
12秒前
爆米花应助科研通管家采纳,获得10
12秒前
思源应助科研通管家采纳,获得10
12秒前
Akim应助科研通管家采纳,获得30
12秒前
香蕉觅云应助科研通管家采纳,获得10
12秒前
小二郎应助科研通管家采纳,获得20
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 610
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
Green Analytical Methods and Miniaturized Sample Preparation techniques for Forensic Drug Analysis 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3561233
求助须知:如何正确求助?哪些是违规求助? 3134952
关于积分的说明 9410444
捐赠科研通 2835342
什么是DOI,文献DOI怎么找? 1558422
邀请新用户注册赠送积分活动 728199
科研通“疑难数据库(出版商)”最低求助积分说明 716729