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Dynamic modeling, optimization and control of power density in a PEM fuel cell

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  • Meidanshahi, Vida
  • Karimi, Gholamreza

Abstract

Polymer Electrolyte Membrane (PEM) fuel cells are regarded as an alternative power source for automotive and portable applications. Due to sensitivity of fuel cell to model parameters and nonlinear nature of the governing equations, proper control of the generated power is essential. In this paper, a nonlinear one-dimensional along-the-channel dynamic model has been considered for modeling and simulation of power generation in a PEM fuel cell. The rigorous proposed model is based on conservation laws and electrochemical and auxiliary equations. To get the best performance and the highest power density of the cell, the operating parameters have been optimized under steady state condition using differential evolution (DE) algorithm. Based on the proposed model and optimized parameters, an appropriate fuzzy controller is suggested. The fuzzy control algorithm is applied to the process and the results are compared with those of a conventional PI control. The results indicate that a faster response of the average power density can be obtained using the fuzzy controller in a servo problem.

Suggested Citation

  • Meidanshahi, Vida & Karimi, Gholamreza, 2012. "Dynamic modeling, optimization and control of power density in a PEM fuel cell," Applied Energy, Elsevier, vol. 93(C), pages 98-105.
    • Handle: RePEc:eee:appene:v:93:y:2012:i:c:p:98-105
    DOI: 10.1016/j.apenergy.2011.04.048
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    Cited by:

    1. Kim, Bosung & Cha, Dowon & Kim, Yongchan, 2015. "The effects of air stoichiometry and air excess ratio on the transient response of a PEMFC under load change conditions," Applied Energy, Elsevier, vol. 138(C), pages 143-149.
    2. Ye, Lingfeng & Qiu, Diankai & Peng, Linfa & Lai, Xinmin, 2022. "Microstructures and electrical conductivity properties of compressed gas diffusion layers using X-ray tomography," Applied Energy, Elsevier, vol. 326(C).
    3. Imran, Muhammad & Amir, Namra, 2015. "A short-run solution to the power crisis of Pakistan," Energy Policy, Elsevier, vol. 87(C), pages 382-391.
    4. Kheirandish, Azadeh & Motlagh, Farid & Shafiabady, Niusha & Dahari, Mahidzal & Khairi Abdul Wahab, Ahmad, 2017. "Dynamic fuzzy cognitive network approach for modelling and control of PEM fuel cell for power electric bicycle system," Applied Energy, Elsevier, vol. 202(C), pages 20-31.
    5. Alan Cruz Rojas & Guadalupe Lopez Lopez & J. F. Gomez-Aguilar & Victor M. Alvarado & Cinda Luz Sandoval Torres, 2017. "Control of the Air Supply Subsystem in a PEMFC with Balance of Plant Simulation," Sustainability, MDPI, vol. 9(1), pages 1-23, January.
    6. Barzegari, Mohammad M. & Dardel, Morteza & Alizadeh, Ebrahim & Ramiar, Abas, 2016. "Dynamic modeling and validation studies of dead-end cascade H2/O2 PEM fuel cell stack with integrated humidifier and separator," Applied Energy, Elsevier, vol. 177(C), pages 298-308.
    7. Pan, Pengcheng & Sun, Yuwei & Yuan, Chengqing & Yan, Xinping & Tang, Xujing, 2021. "Research progress on ship power systems integrated with new energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    8. Kim, Bosung & Lee, Yongtaek & Woo, Ahyoung & Kim, Yongchan, 2013. "Effects of cathode channel size and operating conditions on the performance of air-blowing PEMFCs," Applied Energy, Elsevier, vol. 111(C), pages 441-448.
    9. Hosseinzadeh, Elham & Rokni, Masoud & Rabbani, Abid & Mortensen, Henrik Hilleke, 2013. "Thermal and water management of low temperature Proton Exchange Membrane Fuel Cell in fork-lift truck power system," Applied Energy, Elsevier, vol. 104(C), pages 434-444.
    10. Pahon, E. & Yousfi Steiner, N. & Jemei, S. & Hissel, D. & Moçoteguy, P., 2016. "A signal-based method for fast PEMFC diagnosis," Applied Energy, Elsevier, vol. 165(C), pages 748-758.
    11. Pei, Pucheng & Chen, Huicui, 2014. "Main factors affecting the lifetime of Proton Exchange Membrane fuel cells in vehicle applications: A review," Applied Energy, Elsevier, vol. 125(C), pages 60-75.
    12. Kwan, Trevor Hocksun & Wu, Xiaofeng & Yao, Qinghe, 2018. "Multi-objective genetic optimization of the thermoelectric system for thermal management of proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 217(C), pages 314-327.
    13. Tolj, Ivan & Penga, Željko & Vukičević, Damir & Barbir, Frano, 2020. "Thermal management of edge-cooled 1 kW portable proton exchange membrane fuel cell stack," Applied Energy, Elsevier, vol. 257(C).
    14. Fathy, Ahmed & Babu, Thanikanti Sudhakar & Abdelkareem, Mohammad Ali & Rezk, Hegazy & Yousri, Dalia, 2022. "Recent approach based heterogeneous comprehensive learning Archimedes optimization algorithm for identifying the optimal parameters of different fuel cells," Energy, Elsevier, vol. 248(C).
    15. Wang, Junye, 2017. "System integration, durability and reliability of fuel cells: Challenges and solutions," Applied Energy, Elsevier, vol. 189(C), pages 460-479.
    16. Jung, Guo-Bin & Tzeng, Wei-Jen & Jao, Ting-Chu & Liu, Yu-Hsu & Yeh, Chia-Chen, 2013. "Investigation of porous carbon and carbon nanotube layer for proton exchange membrane fuel cells," Applied Energy, Elsevier, vol. 101(C), pages 457-464.
    17. Matraji, Imad & Laghrouche, Salah & Jemei, Samir & Wack, Maxime, 2013. "Robust control of the PEM fuel cell air-feed system via sub-optimal second order sliding mode," Applied Energy, Elsevier, vol. 104(C), pages 945-957.
    18. Hou, Junbo & Yang, Min & Ke, Changchun & Zhang, Junliang, 2020. "Control logics and strategies for air supply in PEM fuel cell engines," Applied Energy, Elsevier, vol. 269(C).
    19. Abdollahipour, Armin & Sayyaadi, Hoseyn, 2022. "A novel electrochemical refrigeration system based on the combined proton exchange membrane fuel cell-electrolyzer," Applied Energy, Elsevier, vol. 316(C).
    20. Lopez Lopez, Guadalupe & Schacht Rodriguez, Ricardo & Alvarado, Victor M. & Gomez-Aguilar, J.F. & Mota, Juan E. & Sandoval, Cinda, 2017. "Hybrid PEMFC-supercapacitor system: Modeling and energy management in energetic macroscopic representation," Applied Energy, Elsevier, vol. 205(C), pages 1478-1494.
    21. Qiu, Diankai & Janßen, Holger & Peng, Linfa & Irmscher, Philipp & Lai, Xinmin & Lehnert, Werner, 2018. "Electrical resistance and microstructure of typical gas diffusion layers for proton exchange membrane fuel cell under compression," Applied Energy, Elsevier, vol. 231(C), pages 127-137.
    22. Mingzhang Pan & Chengjie Pan & Jinyang Liao & Chao Li & Rong Huang & Qiwei Wang, 2021. "Assessment of Sensitivity to Evaluate the Impact of Operating Parameters on Stability and Performance in Proton Exchange Membrane Fuel Cells," Energies, MDPI, vol. 14(14), pages 1-23, July.
    23. Martin Vrlić & Daniel Ritzberger & Stefan Jakubek, 2020. "Safe and Efficient Polymer Electrolyte Membrane Fuel Cell Control Using Successive Linearization Based Model Predictive Control Validated on Real Vehicle Data," Energies, MDPI, vol. 13(20), pages 1-16, October.
    24. Islam, Mohammad Rafiqul & Shabani, Bahman & Rosengarten, Gary, 2016. "Nanofluids to improve the performance of PEM fuel cell cooling systems: A theoretical approach," Applied Energy, Elsevier, vol. 178(C), pages 660-671.
    25. da Fonseca, R. & Bideaux, E. & Gerard, M. & Jeanneret, B. & Desbois-Renaudin, M. & Sari, A., 2014. "Control of PEMFC system air group using differential flatness approach: Validation by a dynamic fuel cell system model," Applied Energy, Elsevier, vol. 113(C), pages 219-229.

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