计及梯度化扩散层结构的PEMFC性能评价与多场协同分析

郝俊红; 马腾宇; 周敬龙; 周嘉晗; 邬学峰; 张超; 杜小泽

doi:10.13334/j.0258-8013.pcsee.232681

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计及梯度化扩散层结构的PEMFC性能评价与多场协同分析

发电 | 更新时间：2026-02-05

- 计及梯度化扩散层结构的PEMFC性能评价与多场协同分析
- Evaluation of PEMFC performance and Multi-field Synergistic Analysis Considering Granitized Diffusion Layer Structure
- 中国电机工程学报 2025年45卷第13期页码：5130-5140
- 作者机构：
  
  华北电力大学能源动力与机械工程学院, 北京市昌平区 102206
- 作者简介：
  
  [ "郝俊红(1988)，男，博士，副教授，博士生导师，研究方向为储能与燃料电池、分布式能源系统，hjh@ncepu.edu.cn" ]
  [ "马腾宇(1999)，男，硕士研究生，研究方向为燃料电池" ]
- 基金信息：
  
  国家自然科学基金项目(52176068)
- DOI：10.13334/j.0258-8013.pcsee.232681
  中图分类号： TK01
- 收稿：2023-12-07，
  
  网络首发：2024-04-10，
  
  纸质出版：2025-07-05
- 稿件说明：
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郝俊红, 马腾宇, 周敬龙, 等. 计及梯度化扩散层结构的PEMFC性能评价与多场协同分析[J]. 中国电机工程学报, 2025,45(13):5130-5140.

Junhong HAO, Tengyu MA, Jinglong ZHOU, et al. Evaluation of PEMFC performance and Multi-field Synergistic Analysis Considering Granitized Diffusion Layer Structure[J]. Proceedings of the CSEE, 2025, 45(13): 5130-5140.
郝俊红, 马腾宇, 周敬龙, 等. 计及梯度化扩散层结构的PEMFC性能评价与多场协同分析[J]. 中国电机工程学报, 2025,45(13):5130-5140. DOI： 10.13334/j.0258-8013.pcsee.232681.

Junhong HAO, Tengyu MA, Jinglong ZHOU, et al. Evaluation of PEMFC performance and Multi-field Synergistic Analysis Considering Granitized Diffusion Layer Structure[J]. Proceedings of the CSEE, 2025, 45(13): 5130-5140. DOI： 10.13334/j.0258-8013.pcsee.232681.

摘要

扩散层作为质子交换膜燃料电池(proton exchange membrane fuel cell，PEMFC)内部最柔软的部分，承担着将反应气体传递到催化层、将生成的水排出等作用，改变其扩散性能是提高燃料电池性能的重要途径。为进一步提高PEMFC输出性能，促进其商业化进程，该文聚焦PEMFC扩散层几何形状的优化设计，提出一种基于有限数据分析法与BP神经网络预测法的燃料电池扩散层优化方法；利用提出的新型高效PEMFC扩散层优化设计方法得到一种新型锥形扩散层结构的PEMFC。与传统结构PEMFC相比，在相同的工作条件与流道结构下，使用新型扩散层结构的PEMFC输出功率提高约4.4%，最大温度梯度减小约4.2%，反应物利用率提高约3.9%，排水能力提高约5.3%。进一步分析两种结构PEMFC在三物理场协同性能的差异，所提出的新型扩散层结构PEMFC在同结构同工况条件下协同性能比传统扩散层结构平均提高16.1%。结果可为PEMFC结构优化提供一种全新的优化方法与优化路径。

Abstract

As the softest part in a proton exchange membrane fuel cell (PEMFC)

the diffusion layer assumes the roles of transferring the reactive gases to the catalytic layer and discharging the generated water. Changing its diffusion performance is an important way for enhancing the performance of the fuel cell. To further enhance the output performance of PEMFC and promote its commercialization

this paper focuses on the optimal design of the PEMFC diffusion layer geometry and proposes a fuel cell diffusion layer optimization method based on the finite data analysis method and BP neural network prediction method. Using the proposed new high-efficiency PEMFC diffusion layer optimization design method

a new conical diffusion layer structure of the PEMFC is obtained. Compared with the traditional structure of the PEMFC

under the same operating conditions and runner structure

the output power of the PEMFC using the new diffusion layer structure is increased by about 4.4%

the maximum temperature gradient is reduced by about 4.2%

the reactant utilization rate is increased by about 3.9%

and the drainage capacity is improved by about 5.3%. The differences in the synergistic performance of the two PEMFC structures in the three physical fields are further analyzed. It is found that the synergistic performance of the proposed new diffusion layer structure PEMFC is 16.1% higher than that of the traditional diffusion layer structure under the same structure and working conditions. The results can provide a new optimization method and optimization path for PEMFC structure optimization.

关键词

Keywords

references

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