OPERA - DEVELOPMENT OF OPERANDO TECHNIQUES AND MULTISCALE MODELLING TO FACE THE ZERO-EXCESS SOLID-STATE BATTERY CHALLENGE

OPERA - 开发操作技术和多尺度建模以应对零过剩固态电池挑战

• 批准号: 10078555
• 金额: $ 62.75万
• 依托单位: UNIVERSITY OF SURREY
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10078555
• 关键词: OPERA; DEVELOPMENT; OPERANDO; TECHNIQUES; MULTISCALE

Green, high-performing and safe batteries based on abundant materials are a key element in the transition to a carbon-neutral future. However, to accelerate their development, a deep understanding of the complex electro-chemo-mechanical processes within the battery is required, which is only accessible through advanced experimental and computational methods. Zero-excess solid-state batteries, where the anode is formed in situ, have emerged as a promising new generation of environmentally friendly batteries with high energy density, improved safety and higher cost-efficiency, but only after solutions for non-uniform anode formation were found. In OPERA, seven leading research institutions, two synchrotron radiation facilities, a small-medium sized enterprise and a large technological company, all from complementary research fields such as batteries, surface and material science, and multiscale modelling, propose a unique strategy to face the current challenges of this technology. OPERA relies on the development of novel operando experimental techniques at the ESRF, ALBA and DESY synchrotrons and at the lab-scale, providing complementary information on multiaxial stress fields, chemical composition, nucleation and growth kinetics, structural defect formation and degradation of well-defined model cells with a resolution down to the atomic scale. The new insights and collected multiparameter data will be incorporated into a novel multiscale modelling approach supported by machine learning algorithms. This will ultimately lead to a conceptual understanding of the in-situ anode formation and, based on this, innovative improvement approaches to enable this type of energy storage technology, which will be an important step towards increasing the global competitiveness, resilience and independence of the EU.

基于丰富材料的绿色、高性能和安全电池是向碳中和未来过渡的关键因素。然而，为了加速其发展，需要深入了解电池内复杂的电化学机械过程，这只能通过先进的实验和计算方法才能实现。零过剩固态电池（阳极在原位形成）作为新一代环保型电池，具有高能量密度、更高的安全性和更高的成本效益，但这是在找到了解决阳极形成不均匀的解决方案之后才出现的。在OPERA，七家领先的研究机构、两个同步辐射设施、一家中小型企业和一家大型科技公司，所有来自互补的研究领域，如电池，表面和材料科学，多尺度建模，提出了一个独特的战略，以面对目前的挑战，这项技术。OPERA依赖于ESRF，ALBA和DESY同步加速器和实验室规模的新operando实验技术的发展，提供多轴应力场，化学成分，成核和生长动力学，结构缺陷形成和降解的明确定义的模型细胞的分辨率下降到原子尺度的补充信息。新的见解和收集的多参数数据将被纳入一种由机器学习算法支持的新型多尺度建模方法。这将最终导致对原位阳极形成的概念性理解，并在此基础上，创新改进方法以实现这种类型的储能技术，这将是提高欧盟全球竞争力，弹性和独立性的重要一步。