Journal of Shanghai Jiao Tong University

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2025 , Vol. 59 >Issue 11: 1754 - 1762

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.636

New Type Power System and the Integrated Energy

Parallel Computation and Optimization of Proton Exchange Membrane Fuel Cell Models

  • LIU Ke ,
  • HAO Liang ,
  • GENG Jun ,
  • CHEN Xun ,
  • LU Wei
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  • State Power Investment Corporation Hydrogen Energy Technology Limited, Beijing 100162, China

Received date: 2023-12-21

  Revised date: 2024-06-25

  Accepted date: 2024-07-11

  Online published: 2024-07-25

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Abstract

To achieve highly efficient and precise simulation of proton exchange membrane fuel cells (PEMFCs) and stacks, this paper develops a three-dimensional coupled one-dimensional hybrid dimension modeling strategy based on the Fluent solver and conducts an in-depth analysis of the impact of the Fluent built-in global summations macro PRF_GRSUM on the parallel solving efficiency of fuel cell simulation. It also proposes two new parallel strategies including the data compression synchronization method and the data filter marker method, based on the data coupling characteristics of the hybrid dimension model. Then, this paper describes the principles and processes of three data synchronization methods in detail, and investigates the impact of these methods on the solving efficiency of parallel computation of PEMFC models. The results show that the data filter marker method can achieve an acceleration ratio up to 112.5 times compared with PRF_GRSUM macro when simulating a PEMFC stack with a hundred cells.

Key words： proton exchange membrane fuel cell (PEMFC); parallel computation; hybrid dimension model; data filter marker method

Cite this article

LIU Ke , HAO Liang , GENG Jun , CHEN Xun , LU Wei . Parallel Computation and Optimization of Proton Exchange Membrane Fuel Cell Models[J]. Journal of Shanghai Jiaotong University, 2025 , 59(11) : 1754 -1762 . DOI: 10.16183/j.cnki.jsjtu.2023.636

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