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Advanced reliability analysis of Polymer Electrolyte Membrane Fuel Cells using Petri-Net analysis and Fuel Cell modelling techniques

机译:使用Petri-Net分析和燃料电池建模技术对聚合物电解质膜燃料电池进行高级可靠性分析

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Reliability issues with fuel cells have held back the commercialisation of this new technology, and as such are required to be studied further. Current reliability standards for automotive applications require an operational lifetime of 150,000 miles or 5,000 hours. These standards are hard to achieve; therefore in depth reliability analysis and degradation studies can help allude towards the key areas of improvement in fuel cell technology to meet these standards. Previous failure mode and affect analysis work has shown that the multi-component system of a polymer electrolyte membrane fuel cell is inherently complex. Dependencies exist between multiple failure modes which discounts Fault Tree Analysis as a feasible reliability modelling technique. Therefore, in this study, Petri-Net simulation and fuel cell modelling techniques have been adopted to develop an accurate degradation model. Operational parameters such as water content, temperature and current density and their effects on the occurrence of failure modes can be modelled through this technique. The work will improve previous fuel cell reliability studies by taking into consideration; operating parameters (water content, temperature), fuel cell voltage based on demand (drive cycles) and dependencies between failure modes.
机译:燃料电池的可靠性问题阻碍了这项新技术的商业化,因此需要进一步研究。当前用于汽车应用的可靠性标准要求使用寿命为150,000英里或5,000小时。这些标准很难实现。因此,深入的可靠性分析和降级研究可以帮助提到满足这些标准的燃料电池技术改进的关键领域。先前的故障模式和影响分析工作已经表明,聚合物电解质膜燃料电池的多组分系统本质上是复杂的。多个故障模式之间存在依赖关系,这使故障树分析无法作为一种可行的可靠性建模技术。因此,在这项研究中,已采用Petri-Net模拟和燃料电池建模技术来开发精确的退化模型。可以通过此技术对诸如水含量,温度和电流密度等操作参数及其对故障模式发生的影响进行建模。通过考虑,这项工作将改善以前的燃料电池可靠性研究;运行参数(水含量,温度),基于需求的燃料电池电压(驱动周期)以及故障模式之间的依存关系。

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