Modeling-based portrait and intelligent diagnostics of polymer electrolyte fuel cells

基于建模的聚合物电解质燃料电池画像与智能诊断

• 批准号: 513543-2017
• 负责人: Gates, Byron
• 金额: $ 7.58万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=692867
• 关键词: Modeling; based; portrait; intelligent; diagnostics

This application fosters a concerted strategy in modeling and diagnostics of polymer electrolyte fuel cells (PEFCs), which are touted as energy conversion devices for transportation and stationary power. Greenlight Innovation Corp. (GI) is a leading supplier of fuel cell testing equipment to automotive OEMs and research labs with over 700 stations in operation worldwide. To bolster this position, the diagnostics platform proposed herein is to provide quick, reliable, accurate and autonomous assessment of the state of health of the Device Under Test (DUT) and analyze, in real time, its response to changing operating conditions and load. Model-based tools will correlate changes in performance with variations in structure and properties of cell components, to decipher the mechanistic origins of performance effects. Furthermore, diagnostic tools will be devised to predict operational failures and rationalize their causes. The suite of capabilities will be essential to steer future directions in materials research and design of cells and stacks; it will enable developers to engineer failure mitigation and recovery strategies. As the basis for this platform, the SFU team will develop physical-mathematical models to draw a comprehensive performance portrait of PEFCs. Using this portrait, the group will develop testing algorithms and protocols, closely interacting with partners at GI. GI will integrate diagnostic methods and tools into Emerald, its control and automation software. The system-on-a-chip research lab at UBC will develop specific electronics hardware for tests on large fuel cell stacks.

该应用促进了聚合物电解质燃料电池（PEFC）建模和诊断的一致策略，该策略被吹捧为运输和固定功率的能量转换设备。 Greenlight Innovation Corp.（GI）是燃料电池测试设备的领先供应商，用于汽车OEM和研究实验室，拥有超过700个车站的全球运营。为了加强这一职位，本文提出的诊断平台是为了对正在测试的设备（DUT）的健康状况提供快速，可靠，准确和自主评估，并实时分析其对不断变化的操作条件和负载的响应。基于模型的工具将使性能的变化与细胞组件的结构和特性的变化相关联，以破译性能效应的机理起源。此外，将设计诊断工具以预测操作失败并合理化其原因。一套能力套件对于指导未来的材料研究和堆栈设计方向至关重要。它将使开发人员能够设计缓解故障和恢复策略。作为该平台的基础，SFU团队将开发物理数学模型，以绘制PEFC的全面性能肖像。使用此肖像，该小组将开发测试算法和协议，并与GI的合作伙伴紧密相互作用。 GI将将诊断方法和工具集成到翡翠，其控制和自动化软件中。 UBC的芯片研究实验室将开发特定的电子硬件，用于大型燃料电池堆栈的测试。