Performance Assessment and Optimization of the Ultra-High Speed Air Compressor in Hydrogen Fuel Cell Vehicles
Source abstract
Abstract
Air compressors in hydrogen fuel cell vehicles play a crucial role in ensuring the stability of the cathode air system. However, they currently face challenges related to low efficiency and poor stability. To address these issues, the experimental setup for the pneumatic performance of air compressors is established. The effects of operational parameters on energy consumption, efficiency, and mass flow rate of the air compressor are revealed based on a Morris global sensitivity analysis. Considering a higher flow rate, larger efficiency, and lower energy consumption simultaneously, the optimal operating combination of the air compressor is determined based on grey relational multi-objective optimization. The optimal combination of operational parameters consisted of a speed of 80,000 rpm, a pressure ratio of 1.8, and an inlet temperature of 18.3 °C. Compared to the average values, the isentropic efficiency achieved a 48.23% increase, and the mass flow rate rose by 78.88% under the optimal operational combination. These findings hold significant value in guiding the efficient and stable operation of air compressors. The comprehensive methodology employed in this study is applicable further to investigate air compressors for hydrogen fuel cell vehicles.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Refrigeration and Air Conditioning Technologies · Turbomachinery Performance and Optimization · Hydraulic and Pneumatic Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Funding
National Natural Science Foundation of China
References (35)
Show source-provided references
1. Tourist preferences for fuel cell vehicle rental: Going green with hydrogen on the island of tenerife10.1016/j.ijhydene.2023.03.435 ↗
2. Mathematical modelling of hydrogen transportation from reservoir tank to hydrogen fuel cell electric vehicle (fcev) tank10.1016/j.fuel.2023.130725 ↗
3. Park, S., and Lee, S. (2023). Theoretical analysis for improving the efficiency of ht-pemfc through unreacted hydrogen circulation. Appl. Sci., 13.10.20944/preprints202307.1363.v1 ↗
4. Yang, R., Zhang, W., Li, S., Xu, M., Huang, W., and Qin, Z. (2023). Finite element analysis and optimization of hydrogen fuel cell city bus body frame structure. Appl. Sci., 13.10.3390/app131910964 ↗
5. Life cycle sustainability assessment of a proton exchange membrane fuel cell technology for ecodesign purposes10.1016/j.ijhydene.2023.05.255 ↗
6. In-situ onboard evaluation and control of proton exchange membrane fuel cells using magnetic sensors10.1016/j.apenergy.2023.121873 ↗
7. Design and control of multiphase interleaved boost converters-based on differential flatness theory for pem fuel cell multi-stack applications10.1016/j.ijepes.2020.106346 ↗
8. Experimental study of the thermal and power performances of a proton exchange membrane fuel cell stack affected by the coolant temperature10.1016/j.applthermaleng.2023.120211 ↗
9. Deng, B., Zhang, X., Yin, C., Luo, Y., and Tang, H. (2023). Improving a fuel cell system’s thermal management by optimizing thermal control with the particle swarm optimization algorithm and an artificial neural network. Appl. Sci., 13.10.3390/app132312895 ↗
10. Evaluation criterion of proton exchange membrane (ecpem) fuel cells considering inserted porous media inside the gas flow channel10.1016/j.applthermaleng.2021.117952 ↗
11. Enhancing heat dissipation to improve efficiency of two-stage electric air compressor for fuel cell vehicle10.1016/j.enconman.2021.115007 ↗
12. Thermodynamics investigation and spike-stall identification based on energy loss of centrifugal compressor10.1016/j.ijheatmasstransfer.2020.120693 ↗
13. Performance analysis of hydrogen fuel cell with two-stage turbo compressor for automotive applications10.1016/j.egyr.2021.05.007 ↗
14. Improving the operating range using a centrifugal compressor with a tandem impeller10.1016/j.ast.2019.105548 ↗
15. Theoretical and experimental study on effects of humidity on centrifugal compressor performance10.1016/j.applthermaleng.2020.115300 ↗
16. Semi-physical modeling and control of a centrifugal compressor for the air feeding of a pem fuel cell10.1016/j.enconman.2017.11.030 ↗
17. Improved empirical parameters design method for centrifugal compressor in pem fuel cell vehicle application10.1016/j.ijhydene.2016.08.162 ↗
18. Improvement in the stability of a turbocharger centrifugal compressor by tip leakage control. Proceedings of the Institution of Mechanical Engineers10.1177/0954407016656543 ↗
19. Modeling and control of an air supply system for a heavy duty pemfc engine10.1016/j.ijhydene.2016.04.213 ↗
20. Empirical models for efficiency and mass flow rate of centrifugal compressors10.1016/j.ijrefrig.2014.03.005 ↗
21. Disturbance decoupling control of an ultra-high speed centrifugal compressor for the air management of fuel cell systems10.1016/j.ijhydene.2013.11.057 ↗
22. Prediction of hydrogen-added combustion process in t-gdi engine using artificial neural network10.1016/j.applthermaleng.2020.115974 ↗
23. Sensitivity analysis of an environmental model: An application of different analysis methods10.1016/S0951-8320(97)00021-5 ↗
24. Prerequisites for reliable sensitivity analysis of a high fidelity building energy model10.1016/j.enbuild.2018.10.035 ↗
25. Comprehensive evaluation of parameter importance and optimization based on the integrated sensitivity analysis system: A case study of the btop model in the upper min river basin, china10.1016/j.jhydrol.2022.127819 ↗
26. Identification of arch dam mechanical parameters based on sensitivity analysis and hooke–jeeves algorithm optimization10.1016/j.istruc.2022.10.052 ↗
27. Performances investigation and multi-objective optimization of gas foil bearings in hydrogen fuel cell vehicles10.1002/er.8507 ↗
28. A hybrid method using experiment design and grey relational analysis for multiple criteria decision making problems10.1016/j.knosys.2013.08.025 ↗
29. Application of improved grey relational projection method to evaluate sustainable building envelope performance10.1016/j.apenergy.2009.08.020 ↗
30. The use of grey relational analysis in solving multiple attribute decision-making problems10.1016/j.cie.2007.12.002 ↗
31. Influence of pressure losses on compressor performance in a pressurized fuel cell air supply system for airplane applications10.1016/j.ijhydene.2021.03.218 ↗
32. Multi-objective optimization designs of phase change material-enhanced building using the integration of the stacking model and nsga-iii algorithm10.1016/j.est.2023.107807 ↗
33. Performance prediction and evaluation of the scroll-type hydrogen pump for fcvs based on cfd–taguchi method10.1016/j.ijhydene.2019.04.019 ↗
34. An experimental investigation on l9 orthogonal array with various concrete materials10.1016/j.matpr.2020.09.005 ↗
35. Relationship between the main functional groups and complex permittivity in pre-oxidised lignite at terahertz frequencies based on grey correlation analysis10.1016/j.energy.2023.127821 ↗