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Nonlinear dynamic mechanism modeling of a polymer electrolyte membrane fuel cell with dead-ended anode considering mass transport and actuator properties

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  • Xu, Liangfei
  • Fang, Chuan
  • Li, Jianqiu
  • Ouyang, Minggao
  • Lehnert, Werner

Abstract

A dead-ended anode (DEA) has advantages such as simple structure, high reliability, and low price, and is widely utilized in polymer electrolyte membrane fuel cell (PEMFC) systems. Empirical parameters are commonly adopted in control-oriented models for such systems, and detailed information about mass transport processes is usually not available. Such models are neither helpful for understanding the internal processes within fuel cells, nor for designing control algorithms to improve system performance. A control-oriented model considering the mass transport processes and actuator properties is still lacking. This paper proposes a nonlinear dynamic mechanism model for the DEA system that can describe the dynamic voltage drop during water flooding with a large current density. The properties of the major components are explained in details, and the procedure of how the purging valves affects the mass transport and cell voltage is revealed quantitatively. The relationship between the minimum cell voltage and purging operations is summarized. The results show that (1) the proposed model can capture the stable and dynamic properties of a fuel cell with a DEA, (2) the cell voltage loss during closing of the purging valve is mainly caused by a decrease in oxygen and hydrogen partial pressures on the catalyst layers and an increase in the liquid water saturation ratio in the gas diffusion layers (GDLs); (3) the most important internal states that affect the stack voltage during purging is the liquid water saturation ratio in the GDLs.

Suggested Citation

  • Xu, Liangfei & Fang, Chuan & Li, Jianqiu & Ouyang, Minggao & Lehnert, Werner, 2018. "Nonlinear dynamic mechanism modeling of a polymer electrolyte membrane fuel cell with dead-ended anode considering mass transport and actuator properties," Applied Energy, Elsevier, vol. 230(C), pages 106-121.
    • Handle: RePEc:eee:appene:v:230:y:2018:i:c:p:106-121
    DOI: 10.1016/j.apenergy.2018.08.099
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    2. Blandy Pamplona Solis & Julio César Cruz Argüello & Leopoldo Gómez Barba & Mayra Polett Gurrola & Zakaryaa Zarhri & Danna Lizeth TrejoArroyo, 2019. "Bibliometric Analysis of the Mass Transport in a Gas Diffusion Layer in PEM Fuel Cells," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    3. Steinberger, Michael & Geiling, Johannes & Oechsner, Richard & Frey, Lothar, 2018. "Anode recirculation and purge strategies for PEM fuel cell operation with diluted hydrogen feed gas," Applied Energy, Elsevier, vol. 232(C), pages 572-582.
    4. Xu, Liangfei & Hu, Zunyan & Fang, Chuan & Li, Jianqiu & Hong, Po & Jiang, Hongliang & Guo, Di & Ouyang, Minggao, 2021. "Anode state observation of polymer electrolyte membrane fuel cell based on unscented Kalman filter and relative humidity sensor before flooding," Renewable Energy, Elsevier, vol. 168(C), pages 1294-1307.
    5. Wang, Bowen & Wu, Kangcheng & Xi, Fuqiang & Xuan, Jin & Xie, Xu & Wang, Xiaoyang & Jiao, Kui, 2019. "Numerical analysis of operating conditions effects on PEMFC with anode recirculation," Energy, Elsevier, vol. 173(C), pages 844-856.
    6. Xiaogang Wu & Boyang Yu & Jiuyu Du & Wenwen Shi, 2019. "Feedforward-Double Feedback Control System of Dual-Switch Boost DC/DC Converters for Fuel Cell Vehicles," Energies, MDPI, vol. 12(15), pages 1-18, July.
    7. Jiangyan Yan & Chang Zhou & Zhihai Rong & Haijiang Wang & Hui Li & Xuejiao Hu, 2020. "Simulation of the Dynamic Characteristics of a PEMFC System in Fluctuating Operating Conditions," Energies, MDPI, vol. 13(14), pages 1-17, July.
    8. Chen, Huicui & He, Yuxiang & Zhang, Xinfeng & Zhao, Xin & Zhang, Tong & Pei, Pucheng, 2018. "A method to study the intake consistency of the dual-stack polymer electrolyte membrane fuel cell system under dynamic operating conditions," Applied Energy, Elsevier, vol. 231(C), pages 1050-1058.
    9. Zhang Peng Du & Andraž Kravos & Christoph Steindl & Tomaž Katrašnik & Stefan Jakubek & Christoph Hametner, 2021. "Physically Motivated Water Modeling in Control-Oriented Polymer Electrolyte Membrane Fuel Cell Stack Models," Energies, MDPI, vol. 14(22), pages 1-20, November.

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