Bridging Models at Different Scales To Design New Generation Fuel Cells for Electrified Mobility (BLESSED)

为了实现《欧洲绿色协议》关于气候中和的目标，到2050年需要减少90%的交通排放。汽车行业迫切需要加速引入电动汽车的替代动力系统。氢质子交换膜燃料电池（pemfc）是一种无碳动力设备，在移动和固定应用中都能满足这些目标。祈福的目标是彻底改变下一代pemfc的设计过程，以提高效率、耐用性和可负担性，从而广泛使用，直接影响清洁能源和可持续工业/移动。BLESSED将培训15名博士候选人（dc），通过多学科计算方法与机器学习（ML）的独特结合，解决从电子到设备级的多尺度（MS）工程挑战，将每个长度尺度的高精度模型与相邻尺度连接起来。然后，将遵循自上而下的长度尺度方法来优化PEMFC及其组件。为此，15个研发中心将协同开发一个独特的MS计算框架，在ML工具的协助下，用于全尺度PEMFC分析/设计。这将允许同时考虑在所有长度尺度上发生的复杂物理化学现象，例如催化辅助化学反应，粗糙表面的接触，膜的机械/化学降解，多孔介质中的流体流动等，计算成本可承受。拟议的id网络汇集了世界一流的学术专业知识，包括电化学，反应流动，流体力学，材料，优化方法和ML的数值建模和模拟，以及工业开发人员。祈福将专注于工业应用，开发方法和工具，通过最大限度地减少铂族金属含量和腐蚀，同时最大限度地提高质量传输和导电性，从而超越最先进的pemfc。

To achieve the goals of the European Green Deal on climate neutrality, a 90% reduction in transport emissions is needed by 2050. The automotive industry urgently needs to accelerate the introduction of alternative powertrains for electrified vehicles. Hydrogenpowered Proton Exchange Membrane Fuel Cells (PEMFCs) are carbon-free power devices that meet these goals in both mobile and stationary applications. BLESSED aims at revolutionising the design process of next generation PEMFCs, to improve efficiency, durability and affordability for widespread use, with direct implications in clean energy and sustainable industry/mobility. BLESSED will train 15 Doctoral Candidates (DCs) to solve Multi-Scale (MS) engineering challenges, from the electrons up to the device level, through a unique combination of multi-disciplinary computational methods with Machine Learning (ML) to bridge each length scale's highly accurate model to adjacent scales. Then, a top-down length scale approach will be followed to optimise PEMFC and its components. To this end, the 15 DCs will synergistically develop a unique MS computational framework for the all-scale PEMFC analysis/design, assisted by ML tools. This will allow the simultaneous consideration of complex physico-chemical phenomena occurring at all length scales, such as catalytically-assisted chemical reactions, contact of rough surfaces, mechanical/chemicaldegradation of membranes, fluid flows in porous media etc., at affordable computational cost. The proposed ID-network brings together world-class academic expertise on numerical modelling and simulation in electrochemistry, reacting flows, fluid mechanics, materials, optimisation methods and ML, with industrial developers. With a strong focus on industrial applications, BLESSED will develop methodologies and tools to exceed state-of-the-art in PEMFCs by minimising the Platinum group metal content and corrosion while maximising mass transport and electrical conductivity.