期刊文献+

Hybrid dynamic model of polymer electrolyte membrane fuel cell stack using variable neural network

Hybrid dynamic model of polymer electrolyte membrane fuel cell stack using variable neural network
下载PDF
导出
摘要 The polymer electrolyte membrane(PEM) fuel cell has been regarded as a potential alternative power source,and a model is necessary for its design,control and power management.A hybrid dynamic model of PEM fuel cell,which combines the advantages of mechanism model and black-box model,is proposed in this paper.To improve the performance,the static neural network and variable neural network are used to build the black-box model.The static neural network can significantly improve the static performance of the hybrid model,and the variable neural network makes the hybrid dynamic model predict the real PEM fuel cell behavior with required accuracy.Finally,the hybrid dynamic model is validated with a 500 W PEM fuel cell.The static and transient experiment results show that the hybrid dynamic model can predict the behavior of the fuel cell stack accurately and therefore can be effectively utilized in practical application. The polymer electrolyte membrane(PEM) fuel cell has been regarded as a potential alternative power source,and a model is necessary for its design,control and power management.A hybrid dynamic model of PEM fuel cell,which combines the advantages of mechanism model and black-box model,is proposed in this paper.To improve the performance,the static neural network and variable neural network are used to build the black-box model.The static neural network can significantly improve the static performance of the hybrid model,and the variable neural network makes the hybrid dynamic model predict the real PEM fuel cell behavior with required accuracy.Finally,the hybrid dynamic model is validated with a 500 W PEM fuel cell.The static and transient experiment results show that the hybrid dynamic model can predict the behavior of the fuel cell stack accurately and therefore can be effectively utilized in practical application.
出处 《Journal of Beijing Institute of Technology》 EI CAS 2012年第3期354-361,共8页 北京理工大学学报(英文版)
基金 Supported by the National Science Fund for Distinguished Young Scholars of China (60925011)
关键词 PEM fuel cell variable neural network hybrid dynamic model PEM fuel cell variable neural network hybrid dynamic model
  • 相关文献

参考文献17

  • 1Amphlett J C,Baumert R M, Peppley B A, et al.Performance modeling of the ballaxd mark iv solidpolymer electrolyte fuel cell, i. mechanistic modeldevelopment [ J ]. Journal of Electrochemical Socie-ty, 1995, 142(1) : 1 _8.
  • 2Wang C S, Nehrir M H, Shaw S R. Dynamic modelsand model validation for PEM fuel cells using elec-trical circuits [ J ]. IEEE Transactions on EnergyConversion, 2005, 20(2) : 442 -451.
  • 3Puranik S V,Keyhani A, Khorrami F. State-spacemodeling of proton exchange membrane fuel cell[J ]. IEEE Transactions on Energy Conversion,2010,25(3) : 804 -813.
  • 4Gao F,Blunier B, Simoes MG, et al. PEM fuel cellstack modeling for real-time emulation in hardware-in-the-loop applications [ J ]. IEEE Transactions onEnergy Conversion, 2011,26( 1) : 184 -194.
  • 5Sisworahardjo N S,Yalcinoz T, El-Sharkh M Y, etal. Neural network model of 100 W portable PEMfuel cell and experimental verification[ J]. Interna-tional Journal of Hydrogen Energy, 2010,35(17):9104 -9109.
  • 6Puranik S V,Keyhani A, Khorrami F. Neural net-work modeling of proton exchange membrane fuelcell[ J]. IEEE Transactions on Energy Conversion,2010,25(2) : 474 -483.
  • 7Li P, Chen J, Cai T, et al. On-line identification offuel cell model with variable neural network [C]//Proceedings of the 29th Chinese Control Confer-ence. Beijing: BeiHang University Press, 2010: 1417-1421.
  • 8Kunusch C,Husar A, Puleston P,et al. Linear i-dentification and model adjustment of a PEM fuelcell stack [ J ]. International Journal of HydrogenEnergy, 2008,33(13) : 3581 -3587.
  • 9Meiler M,Schmid O,Schudy M,et al. Dynamic fu-el cell stack model for real-time simulation based onsystem identification [ J ]. Journal of PowerSources, 2008, 176(2) : 523 -528.
  • 10Li P,Chen J,Liu G P, et al. Hybrid model of fuelcell system using wavelet network and PSO algo-rithm [C ]// Proceedings of the 22th Chinese Con-trol and Decision Conference. Xuzhou, China:IEEE, 2010; 2629 -2634.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部