堆栈(抽象数据类型)
介电谱
燃料电池
一致性(知识库)
极化(电化学)
计算机科学
降级(电信)
内部一致性
可靠性工程
工艺工程
工程类
电化学
化学
人工智能
数学
电信
化学工程
统计
电极
物理化学
心理测量学
程序设计语言
作者
Zunyan Hu,Liangfei Xu,Jianqiu Li,Qintao Gan,Xin Xu,Ziyou Song,Yangbin Shao,Minggao Ouyang
标识
DOI:10.1016/j.enconman.2019.02.031
摘要
Internal heterogeneity is a significant challenge to the service life of large-format commercial fuel cell stacks. Methods for diagnosing fuel cell stack health, however, are still lacking. This paper proposes a novel diagnostic methodology for analyzing the performance, the consistency between cells and the uniformity within individual cells of fuel cell stacks. Specifically, this three-step methodology can comprehensively analyze the internal heterogeneity of large-format multi-cell stacks. First, a polarization curve test is conducted to provide a quick qualitative performance analysis. Then, the quantitative parameters consistency decline is analyzed by galvanostatic charging and electrochemical impedance spectroscopy methods. Finally, a novel multi-point voltage monitoring method is applied to rule out possible misdiagnoses and to qualitatively analyze cell uniformity. This degradation diagnostic methodology is applied to analyze degradation in several fuel cell stacks, revealing high potential in practice.
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