Development of Novel Lithium Ion Battery Electrolytes for Silicon Anodes

电解质 阳极 材料科学 钝化 化学工程 溶剂 锂(药物) 碳酸丙烯酯 电池(电) 纳米技术 图层(电子) 化学 有机化学 电极 冶金 物理 工程类 内分泌学 物理化学 功率(物理) 医学 量子力学
作者
Dee Strand,Ye Zhu,Marissa A. Caldwell,Gang Cheng
出处
期刊:Meeting abstracts 卷期号:MA2015-01 (1): 49-49
标识
DOI:10.1149/ma2015-01/1/49
摘要

Wildcat Discovery Technologies is developing novel electrolyte additives and noncarbonate formulations that yield improved solid electrolyte interphase (SEI) layers on silicon anodes. The large volumetric changes in silicon during charge/discharge cycles result in mechanical disruption of conventional SEI’s leading to rapid capacity fade as the cell cycles. Novel additives are demonstrated to improve cycle life of silicon based materials by forming less brittle, more mechanically robust SEI passivation layers. Since propylene carbonate (PC) is not expected to form an effective SEI layer, the additives are tested with PC to determine their efficacy. Wildcat’s high throughput electrolyte formulation, cell assembly, and test capabilities enable the evaluation of hundreds of additives in a very short timeframe. Once effective SEI additives are identified in a PC-based formulation, other non-SEI forming solvents can be evaluated. Since the additives are effective without solvent participation in SEI formation, solvents can be considered that may not be reductively stable on the anode – and also opens the possibility to more oxidatively stable or less flammable solvents. Wildcat has evaluated hundreds of combinations of noncarbonate solvents with its initial silicon anode SEI additives. This presentation will focus on the results of the additive improvement to cycle life in NMC//Si full cells, and illustrate the opportunities for novel solvent combinations.

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
雨鱼偷渡到太空完成签到,获得积分10
1秒前
pinging发布了新的文献求助10
1秒前
zgt01发布了新的文献求助10
2秒前
原神大王发布了新的文献求助10
2秒前
2秒前
科研通AI6.3应助boboo采纳,获得30
2秒前
睇灵秀完成签到,获得积分10
3秒前
铀氪锂锂发布了新的文献求助10
4秒前
小羊完成签到,获得积分10
4秒前
Ava应助zgt01采纳,获得10
5秒前
睇灵秀发布了新的文献求助10
8秒前
sda完成签到,获得积分10
8秒前
科研通AI6.1应助榴莲采纳,获得10
9秒前
852应助榴莲采纳,获得10
9秒前
9秒前
丘比特应助香蕉以菱采纳,获得10
10秒前
酷波er应助英俊凡霜采纳,获得10
11秒前
俊秀的思烟应助yzhyzhyzh111采纳,获得10
12秒前
内向雨南发布了新的文献求助10
13秒前
CipherSage应助pinging采纳,获得10
13秒前
菜菜mm发布了新的文献求助10
14秒前
16秒前
齐嘉懿发布了新的文献求助10
16秒前
东方发布了新的文献求助30
17秒前
小二郎应助贤贤公主采纳,获得10
17秒前
魁梧的如波完成签到 ,获得积分10
19秒前
Jasper应助liuy采纳,获得10
19秒前
li2010完成签到,获得积分10
19秒前
菜菜mm完成签到,获得积分20
20秒前
tree完成签到,获得积分10
20秒前
21秒前
21秒前
Evernss完成签到,获得积分10
21秒前
22秒前
zztqaq发布了新的文献求助10
22秒前
科研通AI6.4应助小易采纳,获得10
22秒前
24秒前
24秒前
li2010发布了新的文献求助10
25秒前
飞快的孱发布了新的文献求助10
26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
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 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 6371119
求助须知:如何正确求助?哪些是违规求助? 8184815
关于积分的说明 17269319
捐赠科研通 5425601
什么是DOI,文献DOI怎么找? 2870327
邀请新用户注册赠送积分活动 1847364
关于科研通互助平台的介绍 1694018