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
刚刚
舒心的雍完成签到,获得积分20
刚刚
FashionBoy应助沉静灵枫采纳,获得10
1秒前
初景发布了新的文献求助10
2秒前
王桐发布了新的文献求助10
2秒前
3秒前
4秒前
4秒前
wjunj发布了新的文献求助10
5秒前
www发布了新的文献求助10
5秒前
lf完成签到,获得积分10
6秒前
fangaoxing发布了新的文献求助10
6秒前
6秒前
7秒前
谢谢谢谢谢谢谢谢完成签到 ,获得积分10
7秒前
风一样的风干肠完成签到 ,获得积分10
7秒前
1137944250完成签到,获得积分20
8秒前
bieberDan完成签到,获得积分10
8秒前
lmq发布了新的文献求助10
8秒前
Vench发布了新的文献求助10
9秒前
9秒前
Authentic完成签到 ,获得积分10
10秒前
10秒前
无极微光应助山竹采纳,获得20
11秒前
11秒前
12秒前
FashionBoy应助PPPPP星星采纳,获得10
12秒前
www完成签到,获得积分20
13秒前
李健应助鳗鱼笑白采纳,获得10
13秒前
gaoyi12356发布了新的文献求助10
13秒前
14秒前
沐晓曦发布了新的文献求助10
14秒前
Authentic关注了科研通微信公众号
15秒前
HFH举报小江的阿狸求助涉嫌违规
15秒前
星辰大海应助不想上学采纳,获得10
16秒前
受伤书文发布了新的文献求助10
16秒前
16秒前
眼睛大涵易给眼睛大涵易的求助进行了留言
16秒前
缓慢夜梦完成签到 ,获得积分10
16秒前
17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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Malcolm Fraser : a biography 700
Handbook of Optical Systems,Volume 6:Advanced Physical Optics 666
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 6513759
求助须知:如何正确求助?哪些是违规求助? 8307075
关于积分的说明 17750192
捐赠科研通 5615673
什么是DOI,文献DOI怎么找? 2924305
邀请新用户注册赠送积分活动 1901367
关于科研通互助平台的介绍 1762940