The Effect of Surface-Abundant Hydrogen Bonding on the Electrolyte Reduction for the Stable SEI in Lithium Metal Batteries

电解质 阳极 法拉第效率 硝酸锂 锂(药物) 化学工程 金属 化学 无机化学 离子电导率 材料科学 电极 离子键合 离子 有机化学 医学 物理化学 工程类 内分泌学
作者
Subin Kim,KwangSup Eom
出处
期刊:Meeting abstracts 卷期号:MA2022-02 (64): 2318-2318
标识
DOI:10.1149/ma2022-02642318mtgabs
摘要

Lithium (Li) metal anodes (LMAs) have been attracted world-wide attention as an ideal anode because of its extra-high theoretical capacity (3860 mAh g -1 ) and low electrode potential (-3.04 V vs S.H.E.). However, the dendritic growth of Li and low Coulombic efficiency (CE) are still hindering their practical uses [1]. To date, numerous methods such as construction of artificial solid electrolyte layer (ASEI) [2], adoption of 3D current collector [3], and tuning of the electrolyte composition [4] have been proposed to prevent Li dendrite growth and increase the CE. Among them, introducing functional additives is one of the most efficient approaches for practical application considering its cost-effectiveness. Until now, various functional additives were introduced to form stable and robust SEI layer in LMBs [4]. Among them, lithium nitrate (LiNO 3 ) is considered as the most efficient electrolyte additive, ensuring high coulombic efficiency (CE) as well as long lifespan of LMBs. When LiNO 3 is dissolved in the electrolyte, NO 3 - anions are mainly reduced to form inorganic species such as Li 3 N, which has a high ionic conductivity and mechanical strength. As such species contribute to the construction of the robust and ionic-conductive SEI layer, and hence the reduction of NO 3 - is important for stable Li cycling. In this regard, many researchers have focused on increasing reduction of NO 3 - by using high-concentration LiNO 3 [4], or adding solubilizer to increase more NO 3 - in the electrolyte [5]. However, those remedies are still insufficient because most of them increase the viscosity of electrolyte leading to low kinetics, hence a novel and more efficient way to increase NO 3 - reduction is needed for practical application. On the other hand, recent researches have reported that the preferential reduction of specific anions is possible by regulation of inner Helmholtz plane (IHP) structure [6]. For instance, Huang et al. reported that intermolecular force between PF 6 - anions and surface adsorbent tris(trimethylsilyl) borate could derive in PF 6 - -abundant IHP, successfully resulted in LiF-rich SEI layer to increase the stability of LMA [6]. Inspired by those works, we expected that NO 3 - -derived SEI layer would be achieved by using surface adsorbent showing strong intermolecular interaction with NO 3 - . In this context, we introduce the adoption of thiourea (TU) as a catalytic additive for the LiNO 3 reduction during the SEI formation. Due to its unique molecular structure, addition of TU could induce NO 3 - derived SEI layer. Firstly, TU could adsorb onto metallic surface by its S atom. Meanwhile, thiourea could form hydrogen bonding with NO 3 - anion by its N-H bonds [7]. Hence in the presence of TU, we suggest that NO 3 - -abundant electrode surface would be achieved by interaction between TU-NO 3 - , resulting in Li 3 N-rich SEI layer. The adsorption behavior of TU on the Cu electrode was investigated by potential of zero charge (PZC) measurement ( Figure 1(a)) . As the TU concentration increases, PZC decreases, indicating more surface coverage by TU. Figure 1(b) shows 1 H NMR spectra of electrolytes with different components. Upshift displacement of N-H bond of TU were detected after addition of DME and LiTFSI, indicating that intramolecular H-bond of TU were weakened. By contrast, downshift displacement appeared when LiNO 3 was added, which means NO 3 - would form strong hydrogen bonding with TU. Furthermore, linear scanning voltammetry (LSV) curves at different concentration of TU were measured to investigate the effect of TU on electrolyte reduction ( Figure 1(c) ). The distinct peaks at 1.6 V and 1.3 V in the cell with 5 wt% LiNO 3 indicate reduction of LiNO 3 and LiTFSI, respectively. Interestingly, in the presence of TU, negative potential shift and increased current of those redox peaks were shown, indicating that the TU significantly increases the LiNO 3 reduction. Importantly, from the XPS analysis, it was found that more abundant Li 3 N components are in the ASEI layer with TU than that without TU, implying that TU accelerates the reduction of LiNO 3 ( Figure 2(a-b)). As a result, Li|Cu@ASEI with TU shows better cyclability and higher average CE of 96.44% during 80 cycles compared to Li|Cu@NSEI and Li|Cu@ASEI w/o TU ( Figure 3 ). In addition, morphological and chemical investigation on the favorable ASEI layers assisted by TU, and its electrochemical performance in LMBs will be discussed in this presentation. [1] Cheng et al, Chem. Rev , 117 , 10403, 2017. [2] Lopez Jeffrey, et al. JACS 140.37 (2018): 11735-11744. [3] Yang Chun-Peng et al. Nature communications 6.1 (2015): 1-9. [4] Kang et al. Journal of Power Sources 490 (2021): 229504. [5] Zhang et al. Advanced Materials 32.24 (2020): 2001740. [6] Huang et al. Angewandte Chemie. 60.35 (2021): 19232-19240. [7] Nishizawa et al. Tetrahedron letters 36.36 (1995): 6483-6486. Figure 1

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
谦让新竹完成签到,获得积分10
1秒前
今后应助蝶步韶华采纳,获得10
2秒前
orixero应助威武的雨筠采纳,获得10
2秒前
3秒前
奋斗沛文发布了新的文献求助10
3秒前
3秒前
4秒前
4秒前
5秒前
李健应助buno采纳,获得30
6秒前
ty发布了新的文献求助10
7秒前
lxg发布了新的文献求助10
8秒前
CHOW发布了新的文献求助10
8秒前
田様应助xwwwww采纳,获得10
8秒前
Vicky发布了新的文献求助10
9秒前
AN完成签到,获得积分0
10秒前
豚豚完成签到,获得积分10
10秒前
明亮夜云完成签到,获得积分10
11秒前
姜雪毅完成签到 ,获得积分10
11秒前
shunshun51213发布了新的文献求助10
11秒前
12秒前
永远的Tmac发布了新的文献求助10
13秒前
所所应助我爱学习采纳,获得10
13秒前
13秒前
dd完成签到,获得积分10
13秒前
14秒前
天天快乐应助wbqdssl采纳,获得10
14秒前
xinxiangshicheng完成签到 ,获得积分10
15秒前
yolo完成签到,获得积分10
15秒前
16秒前
无花果应助xl采纳,获得10
18秒前
852应助ty采纳,获得10
18秒前
蝶步韶华发布了新的文献求助10
18秒前
18秒前
19秒前
123321123321发布了新的文献求助10
20秒前
坚强的大萝卜完成签到,获得积分10
20秒前
20秒前
舒心迎曼完成签到,获得积分10
22秒前
23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
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
Continuing Syntax 1000
Signals, Systems, and Signal Processing 610
简明药物化学习题答案 500
Quasi-Interpolation 400
脑电大模型与情感脑机接口研究--郑伟龙 400
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 6276231
求助须知:如何正确求助?哪些是违规求助? 8095927
关于积分的说明 16924256
捐赠科研通 5345695
什么是DOI,文献DOI怎么找? 2842174
邀请新用户注册赠送积分活动 1819385
关于科研通互助平台的介绍 1676587