Challenges in applying highly active Pt-based nanostructured catalysts for oxygen reduction reactions to fuel cell vehicles

纳米材料基催化剂 燃料电池 催化作用 氧还原 氧还原反应 化学工程 材料科学 电解质 铂金 纳米技术 工艺工程 计算机科学 化学 电化学 工程类 电极 纳米颗粒 有机化学 物理化学
作者
Kensaku Kodama,T. Nagai,Akira Kuwaki,Ryosuke Jinnouchi,Yu Morimoto
出处
期刊:Nature Nanotechnology [Nature Portfolio]
卷期号:16 (2): 140-147 被引量:623
标识
DOI:10.1038/s41565-020-00824-w
摘要

The past 30 years have seen progress in the development of Pt-based nanocatalysts for the oxygen reduction reaction, and some are now in production on a commercial basis and used for polymer electrolyte fuel cells (PEFCs) for automotives and other applications. Further improvements in catalytic activity are required for wider uptake of PEFCs, however. In laboratories, researchers have developed various catalysts that have much higher activities than commercial ones, and these state-of-the-art catalysts have potential to improve energy conversion efficiencies and reduce the usage of platinum in PEFCs. There are several technical issues that must be solved before they can be applied in fuel cell vehicles, which require a high power density and practical durability, as well as high efficiency. In this Review, the development history of Pt-based nanocatalysts and recent analytical studies are summarized to identify the origin of these technical issues. Promising strategies for overcoming those issues are also discussed. This Review summarizes the development history of Pt-based nanocatalysts and recent analytical studies to identify the technical issues in the automobile application, proposing promising strategies for overcoming the trade-offs among the efficiency,power density, and durability of polymer electrolyte fuel 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
2秒前
2秒前
4秒前
czyzyzy完成签到,获得积分10
4秒前
danielbest1234完成签到,获得积分10
5秒前
戊西发布了新的文献求助10
7秒前
7秒前
7秒前
xl发布了新的文献求助10
9秒前
9秒前
科目三应助机智冬灵采纳,获得10
10秒前
10秒前
耍酷的婴完成签到,获得积分10
12秒前
12秒前
笑嘻嘻发布了新的文献求助10
13秒前
桃子发布了新的文献求助10
14秒前
南木发布了新的文献求助10
16秒前
香蕉觅云应助Nara997采纳,获得10
16秒前
17秒前
田乐天发布了新的文献求助10
18秒前
清瑶发布了新的文献求助10
19秒前
24秒前
qduxl应助桃子采纳,获得10
25秒前
chemier027发布了新的文献求助10
28秒前
杳鸢应助bofu采纳,获得10
29秒前
677完成签到,获得积分10
29秒前
车灵波完成签到 ,获得积分10
30秒前
可靠冷霜发布了新的文献求助10
30秒前
31秒前
orixero应助乔力番阿衣采纳,获得10
33秒前
今天也没有昵称完成签到 ,获得积分10
34秒前
35秒前
万能图书馆应助桃桃采纳,获得10
36秒前
Nara997发布了新的文献求助10
36秒前
无花果应助SCIDING采纳,获得30
36秒前
36秒前
37秒前
jenningseastera应助bofu采纳,获得30
38秒前
小二郎应助健忘的自中采纳,获得10
38秒前
zhaoman发布了新的文献求助10
39秒前
高分求助中
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
引进保护装置的分析评价八七年国外进口线路等保护运行情况介绍 300
《続天台宗全書・史伝1 天台大師伝注釈類》 300
Visceral obesity is associated with clinical and inflammatory features of asthma: A prospective cohort study 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3839783
求助须知:如何正确求助?哪些是违规求助? 3382100
关于积分的说明 10521272
捐赠科研通 3101484
什么是DOI,文献DOI怎么找? 1708111
邀请新用户注册赠送积分活动 822179
科研通“疑难数据库(出版商)”最低求助积分说明 773208