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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651575
• 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）的建模和诊断的协调一致的策略，PEFC被吹捧为用于运输和固定电源的能量转换设备。Greenlight Innovation Corp.（GI）是一家领先的燃料电池测试设备供应商，为汽车OEM和研究实验室提供燃料电池测试设备，在全球拥有700多个工作站。为了支持这一立场，本文提出的诊断平台提供对被测设备（DUT）的健康状态的快速、可靠、准确和自主的评估，并且真实的时间分析其对变化的操作条件和负载的响应。基于模型的工具将使性能变化与细胞组分的结构和性质变化相关联，以破译性能影响的机械起源。此外，还将设计诊断工具，以预测业务故障并找出故障原因。这套功能对于引导未来材料研究和电池和电池堆设计的方向至关重要;它将使开发人员能够设计故障缓解和恢复策略。作为该平台的基础，SFU团队将开发物理数学模型，以绘制PEFC的综合性能图。利用这一肖像，该小组将开发测试算法和协议，与GI的合作伙伴密切互动。GI将把诊断方法和工具集成到Emerald，它的控制和自动化软件中。UBC的片上系统研究实验室将开发用于大型燃料电池堆测试的特定电子硬件。**