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Remaining Technical Challenges in RD for Automotive Fuel Cell Systems - Diagnostic Analysis and Simulation - (PPT)

机译:汽车燃料电池系统研发中的技术挑战 - 诊断分析和仿真 - (PPT)

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Enablers to enhance area specific power density is one of the important area to reduce the fuel cell cost. Water management in the electrode is dominant factor for the fuel cell performance at higher current density region. Novel diagnostic methodology and simulation can aid characterization of electrodes, 1. STXM proves to be a powerful technique for characterizing the composition and structure of fuel cell catalyst layers. 2. Soft x-ray microscopy is a potential technique to visualize water in catalyst layer. However, the ionomer damage by x-ray beam needs to be further mitigated. 3. Oxygen sensitive fluorescent dye can visualize oxygen mapping at the boundary between GDL surface and gas flowfield. 4. The porous structure of MPL/GDL is constructed by the Lattice Boltzmann method (LBM) and transport of species (water, gas and heat) are calculated. The integration of LBM into a macro-scale performance model is ongoing. In-situ visualization of water and oxygen as well as the real-time structural change in operating cells are required further electrode characterization.
机译:推动器以增强面积特定的功率密度是降低燃料电池成本的重要领域之一。电极中的水管理是较高电流密度区域的燃料电池性能的主导因素。新型诊断方法和仿真可以帮助电极的表征,1.STXM被证明是表征燃料电池催化剂层的组成和结构的强大技术。 2.软X射线显微镜是一种在催化剂层中可视化水的潜在技术。然而,需要进一步减轻X射线束的离聚物损坏。 3.氧敏感荧光染料可以在GDL表面和气体流场之间的边界处可视化氧气映射。 4.根据格子玻甲板法(LBM)构建MPL / GDL的多孔结构,并计算物种(水,气体和热)的运输。将LBM集成到宏观级性能模型中正在进行中。原位可视化水和氧气以及操作细胞的实时结构变化是必需的电极表征。

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