A reduced‐dimension dynamic model of a proton‐exchange membrane fuel cell. (15th June 2021)

• Record Type: Journal Article
• Authors: Xu, Ling; Hu, Zunyan; Fang, Chuan; Xu, Liangfei; Li, Jianqiu; Ouyang, Minggao
• Other Names: Aloui Fethi guestEditor.; Geo Varuvel Edwin guestEditor.
• Is Part Of: International journal of energy research. Volume 45:Number 12(2021)
• Page Start: 18002
• Page End: 18017
• Publication Date: 2021-06-15
• Subjects: computation load -- internal states -- PEM fuel cell -- reduced‐dimension model -- water transport; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Power resources -- Research -- Periodicals; 621.042
• DOI: 10.1002/er.6945
• Languages: English
• ISSNs: 0363-907X

Abstract

Summary: The existing models of proton‐exchange membrane fuel cells, such as computational fluid dynamics and lumped‐parameter models, cannot provide a comprehensive description of mass‐transport mechanisms without incurring a high computational load. This paper proposes a reduced‐dimension dynamic model of fuel cells that considers main mass‐transport mechanisms, including two‐phase flow in the gas diffusion layer. Under the quasi‐steady‐state assumption, the distributions of liquid water and gas species in the through‐plane direction are calculated through analytical expressions. Thus, the reduced‐dimension fuel‐cell model can obtain a similar output to a one‐dimensional model without needing to solve partial differential equations. The reduced‐dimension model was validated on steady state and transient experimental data. The computational load of the reduced‐dimension model was only 1/60 that of a one‐dimensional model. To simulate the transient behavior of the fuel‐cell system, the reduced‐dimension fuel‐cell model was integrated with a comprehensive balance‐of‐plant model. The system model could execute long‐time‐scale transient simulations and evaluate the internal states of the fuel cell while minimizing the computing resources. Finally, the contradiction between the power response rate and oxygen starvation under the load‐delay strategy was analyzed with the system model, and the delay duration was optimized. Results verify the potential of the reduced‐dimension model in control‐oriented applications. Novelty statement: The existing models of proton‐exchange membrane fuel cells, such as computational fluid dynamics and lumped‐parameter models, cannot provide a comprehensive description of mass‐transport mechanisms without incurring a high computational load. This work proposes a reduced‐dimension dynamic model of fuel cells that considers main mass‐transport mechanisms, including two‐phase flow in the gas diffusion layer. Under the quasi‐steady‐state assumption, the distributions of liquid water and gas species in the through‐plane direction are calculated through analytical expressions. Thus, the reduced‐dimension fuel‐cell model can obtain a similar output to a one‐dimensional model without needing to solve partial differential equations. The computational load of the reduced‐dimension model was only 1/60 that of a one‐dimensional model. Abstract : A reduced‐dimension dynamic model is proposed for a PEM fuel cell. Mass‐transport processes are solved using analytical solutions. The internal states are obtained without needing to solve PDEs. The model reduces the computation load compared with CFD models. Contradiction between power response rate and oxygen starvation is studied.