Research on new flow channel design for improving water management ability of proton exchange membrane fuel cell

Li, Tianya; Song, Jing hui; Zhou, Ke; Lin, Guangyi; Qu, Guangkai; Song, Yingjie

doi:10.1007/s10853-022-07061-7

Cited by 6 publications

(1 citation statement)

References 30 publications

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“…Peng et al modeled the fuel cell and researched the influence of different flow field structures on the temperature distribution of commercial PEMFC [17]. Li et al simulated the cathode variable cross-section flow channel model to improve the performance of PEMFC [18]. Luo et al designed and calculated a serpentine flow field with rib grooves to optimize the performance of PEMFC [19].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Blocked Long-Straight Flow Channels in Proton Exchange Membrane Fuel Cells Using CFD Modeling, Artificial Neural Network, and Genetic Algorithm

Zhang,

Wang,

Bai

et al. 2024

Applied Sciences

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To further improve the performance of the Proton Exchange Membrane Fuel Cell (PEMFC), in this paper, we designed a blocked flow channel with trapezoidal baffles, and geometric parameters of the baffle were optimized based on CFD simulation, Artificial Neural Network (ANN), and single-objective optimization methods. The analysis of velocity, pressure, and oxygen distribution in the cathode flow channel shows that the optimized trapezoidal baffle can improve oxygen transport during the reaction. The comparison of the optimization model with the straight flow channel model and the rectangular baffle model shows that the power density of the optimized model is 4.0% higher than that of the straight flow channel model at a voltage of 0.3 V, and the pressure drop is only 37.83% of that of the rectangular baffle model. For on-road PEMFC with a voltage of 0.6 V, the influence of pump power is significant, and the optimized trapezoidal baffle model has a net power increase of 1.47% compared to the rectangular baffle model at 50% pump efficiency and 3.94% at 30% pump efficiency.

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Section: Introductionmentioning

confidence: 99%