亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Analytical modeling and performance improvement of an electric two-stage centrifugal compressor for fuel cell vehicles

离心式压缩机 阶段(地层学) 燃料电池 汽车工程 气体压缩机 工程类 计算机科学 机械工程 地质学 化学工程 古生物学
作者
Huan Li,Shuguang Zuo,Siyue Chen
标识
DOI:10.1177/09576509241283612
摘要

The integrated two-stage electric centrifugal compressors are most widely used in the present fuel cell vehicles. Air compressors influence the efficiency of fuel cell systems significantly, so it is crucial to improve the energy efficiency of centrifugal compressors. However, there is a lack of centrifugal compressor performance models that can reflect the thermodynamic characteristics of two-stage compression system, which is the main focus of this paper. In this paper, an analytical model of two-stage centrifugal compressor performance considering the thermodynamic characteristics of two-stage compression was first derived and experimentally validated. The single-stage centrifugal compressor model (SSCCM) can be treated as a lumped parameter model of the two-stage centrifugal compressor to predict the compressor performance. Therefore, the SSCCM and the two-stage centrifugal compressor model (TSCCM) were compared. The results show that the TSCCM is more accurate and robust. Furthermore, a novel compressor structure equipped with an intercooler in the inter-stage piping was proposed to improve the energy efficiency of the centrifugal compressor. Based on this novel structure, the TSCCM was modified. Finally, a quantitative analysis was performed to study the effect of an inter-stage intercooler on compressor efficiency. Compared to the original compressor without the inter-stage intercooler, the efficiency improvement by the inter-stage intercooler can be in the range of 3.29–3.97%, with power savings of 0.332–0.635 kW. The study can be used to support engineers and researchers in fast identifying effective solutions in terms of design for the next generation of centrifugal compressors.
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
我是老大应助伊萨卡采纳,获得10
刚刚
陈旧完成签到,获得积分10
1秒前
2秒前
失眠路灯发布了新的文献求助10
5秒前
小蘑菇应助yq采纳,获得10
7秒前
欣欣子完成签到,获得积分10
7秒前
yxl完成签到,获得积分10
14秒前
tyui发布了新的文献求助10
14秒前
20秒前
可耐的盈完成签到,获得积分10
20秒前
23秒前
26秒前
绿毛水怪完成签到,获得积分10
27秒前
lsc完成签到,获得积分10
33秒前
sy193625发布了新的文献求助10
33秒前
37秒前
小fei完成签到,获得积分10
39秒前
tyui发布了新的文献求助10
44秒前
麻辣薯条完成签到,获得积分10
46秒前
时尚身影完成签到,获得积分10
52秒前
伊萨卡发布了新的文献求助10
56秒前
上官若男应助sy193625采纳,获得10
57秒前
leoduo完成签到,获得积分0
58秒前
59秒前
李爱国应助Francisco2333采纳,获得30
1分钟前
流苏2完成签到,获得积分10
1分钟前
咖啡豆发布了新的文献求助10
1分钟前
1分钟前
Marciu33发布了新的文献求助10
1分钟前
科目三应助tyui采纳,获得10
1分钟前
隐形曼青应助tyui采纳,获得30
1分钟前
1分钟前
Francisco2333发布了新的文献求助30
1分钟前
1分钟前
1分钟前
1分钟前
sy193625发布了新的文献求助10
1分钟前
1分钟前
541完成签到 ,获得积分10
1分钟前
2分钟前
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
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 6344716
求助须知:如何正确求助?哪些是违规求助? 8159459
关于积分的说明 17156668
捐赠科研通 5400681
什么是DOI,文献DOI怎么找? 2860601
邀请新用户注册赠送积分活动 1838460
关于科研通互助平台的介绍 1687976