PERFORMANCE OPTIMIZATION OF Z-CHANNEL FUEL CELL BASED ON MULTI-MODEL

Dai Shixun; Cao Aihong; Wang Laihua

doi:10.19912/j.0254-0096.tynxb.2022-0289

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (6) : 476-485. DOI: 10.19912/j.0254-0096.tynxb.2022-0289

PERFORMANCE OPTIMIZATION OF Z-CHANNEL FUEL CELL BASED ON MULTI-MODEL

Dai Shixun, Cao Aihong, Wang Laihua

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Abstract

This paper establishes a numerical analytical model of 3 D proton exchange membrane fuel single cell （PEMFC）, explores the influence of PEMFC channel parameters （angle, width, depth）, operation parameters （temperature, hydrogen humidity, oxygen stoichiometric ratio） on the fuel cell performance, and establishes a multi-neural network （MNN） model to optimize the above parameters.The results show that the optimal flow channel parameter is angle-width-depth equal to 25-1.15 mm-0.85 mm, and the optimal operating parameter is temperature-humidity-stoichiometry equal to 349.15 K-0.60-4.5. By comparing the performance of the Z channel PEMFC before and after the optimization, it can be seen that the steady-state characteristics and transient characteristics of the PEMFC with optimized Z channel is significantly improved.

Key words

PEMFC / neural network / optimization / channel / operation parameter

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Dai Shixun, Cao Aihong, Wang Laihua. PERFORMANCE OPTIMIZATION OF Z-CHANNEL FUEL CELL BASED ON MULTI-MODEL[J]. Acta Energiae Solaris Sinica. 2022, 43(6): 476-485 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0289

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