Enhancing carrier transport in flexible CZTSSe solar cells via doping Li strategy

钝化 兴奋剂 材料科学 载流子寿命 光电子学 太阳能电池 异质结 载流子 开路电压 锌黄锡矿 能量转换效率 电压 纳米技术 捷克先令 电气工程 图层(电子) 工程类
作者
Qiong Yan,Quanzhen Sun,Hui Deng,Weihao Xie,Caixia Zhang,Jionghua Wu,Qiao Zheng,Shuying Cheng
出处
期刊:Journal of Energy Chemistry [Elsevier BV]
卷期号:75: 8-15 被引量:42
标识
DOI:10.1016/j.jechem.2022.07.031
摘要

The passivation of non-radiative states and inhibition of band tailings are desirable for improving the open-circuit voltage (Voc) of CZTSSe thin-film solar cells. Recently, alkali metal doping has been investigated to passivate defects in CZTSSe films. Herein, we investigate Li doping effects by applying LiOH into CZTSSe precursor solutions, and verify that carrier transport is enhanced in the CZTSSe solar cells. Systematic characterizations demonstrate that Li doping can effectively passivate non-radiative recombination centers and reduce band tailings of the CZTSSe films, leading to the decrease in total defect density and the increase in separation distance between donor and acceptor. Fewer free carriers are trapped in the band tail states, which speeds up carrier transport and reduces the probability of deep-level defects capturing carriers. The charge recombination lifetime is about twice as long as that of the undoped CZTSSe device, implying the heterojunction interface recombination is also inhibited. Besides, Li doping can increase carrier concentration and enhance build-in voltage, leading to a better carrier collection. By adjusting the Li/(Li + Cu) ratio to 18%, the solar cell efficiency is increased significantly to 9.68% with the fill factor (FF) of 65.94%, which is the highest FF reported so far for the flexible CZTSSe solar cells. The increased efficiency is mainly attributed to the reduction of Voc deficit and the improved CZTSSe/CdS junction quality. These results open up a simple route to passivate non-radiative states and reduce the band tailings of the CZTSSe films and improve the efficiency of the flexible CZTSSe solar cells.
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
林老师发布了新的文献求助10
刚刚
Lucas应助义气的羽毛采纳,获得20
刚刚
上官若男应助小巧的明雪采纳,获得10
1秒前
1秒前
zw0512发布了新的文献求助10
1秒前
1秒前
1秒前
2秒前
萧拾壹发布了新的文献求助10
2秒前
可爱的函函应助MishimaErika采纳,获得30
2秒前
朝霞发布了新的文献求助10
2秒前
2秒前
3秒前
无敌大猪爆杠氮完成签到,获得积分10
3秒前
sq发布了新的文献求助10
3秒前
3秒前
李爱国应助Xc采纳,获得10
4秒前
sagitar应助Leeee采纳,获得60
4秒前
李四发布了新的文献求助10
4秒前
milian完成签到,获得积分10
4秒前
雪花发布了新的文献求助10
5秒前
5秒前
5秒前
扎心发布了新的文献求助10
5秒前
蓝蓝完成签到 ,获得积分10
6秒前
搞学术太难了完成签到 ,获得积分10
6秒前
6秒前
FashionBoy应助别云剑没卵用采纳,获得10
6秒前
壮观的雨泽完成签到,获得积分10
6秒前
聪慧香菱发布了新的文献求助10
6秒前
watgos完成签到,获得积分10
7秒前
DJAMES完成签到 ,获得积分10
7秒前
7秒前
圣诞结发布了新的文献求助10
7秒前
在水一方应助haustyu采纳,获得10
7秒前
思源应助忧郁翠彤采纳,获得10
7秒前
圣诞结发布了新的文献求助10
8秒前
小墩墩发布了新的文献求助10
8秒前
ksrcc发布了新的文献求助10
8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
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7770013
求助须知:如何正确求助?哪些是违规求助? 9312896
关于积分的说明 20331307
捐赠科研通 7355184
什么是DOI,文献DOI怎么找? 3316154
关于科研通互助平台的介绍 2465001
邀请新用户注册赠送积分活动 2330923