Multi-operating condition optimal design of centrifugal impeller for fuel cell vehicle application based on parameterization of impeller profile

被引：0
|
作者：
Wan Y. [1 ]
Xu S. [1 ]
Zhang L. [1 ]
机构：
[1] Clean Energy Automotive Engineering Center, Tongji University, Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2017年 / 45卷 / 01期
关键词：
Centrifugal compressor; Fuel cell vehicle; Genetic algorithm; Multi-operating condition optimization; Parameterization;
D O I：
10.11908/j.issn.0253-374x.2017.01.015
中图分类号：
学科分类号：
摘要：
In this paper, a high speed oil-free centrifugal compressor for the 65kW fuel cell powertrain system application is selected as optimization objective. The impeller profile curve is parameterized with Bezier curve, and the latin hypercube sampling method is adopted to build the sample space for genetic algorithm optimization. Based on these pretreatments, the Kigring model is built for multi-operating condition optimization. The optimization and CFD calculation results show that both isentropic efficiency and pressure ratio are improved, especially under common operating condition. For the centrifugal impeller of traditional internal combustion powertrain, it is always believed that the isentropic efficiency at both rated and common operating condition cannot be improved at the same time. However, impeller aerodynamic analysis and multi-operating condition optimization indicate that this view is not suitable to the fuel cell powertrain system. The optimization based on parameterized impeller profile achieves a higher isentropic efficiency compared to the optimization based on impeller geometrical parameters, which shows that the optimization based on parameterized impeller profile is a more comprehensive and efficient method for centrifugal impeller optimization. © 2017, Editorial Department of Journal of Tongji University. All right reserved.
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页码：98 / 108
页数：10
相关论文
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