FASTEST - Fast-track hybrid testing platform for the development of battery systems

目前评估锂离子电池安全性、性能、可靠性和寿命的方法对整个电池研发过程来说都是一种显著的资源消耗。测试所需的时间或次数、昂贵的设备和普遍的试错方法，以及对电池系统中复杂的多尺度和多物理现象缺乏了解，都是决定性因素。此外，测试设施是在本地操作的，这意味着数据管理直接在设施中处理，实验在一个测试台上进行。最快的项目旨在开发和验证一个快速通道测试平台，该平台能够提供基于实验设计(DoE)和稳健测试结果的策略，结合多尺度和多物理的虚拟和物理测试。这将加速电池系统的研发和更可靠、更安全、更持久的电池系统设计。该项目的快速混合测试平台原型旨在实现一种新的整体和相互关联的方法。从全球测试设施的角度来看，智能能源部算法、虚拟工作台和DT数据等附加服务被整合到日常设施运营中，以达到新的效率水平。在项目期间，FAST财团的目标是开发高达TRL 6的平台及其组件：根据三个不同的使用案例(汽车、固定和越野)的最佳能源部战略；两种不同的电池化学，3b(NMC/Si-C)和4固态(氧化物聚合物电解质)；开发一整套能够替代物理表征实验的基于物理的和数据驱动的模型；管理信息流的总体数字孪生体系结构，以及混合测试平台的TRL6经过验证的集成原型。

Current methodsto evaluate Li-ion batteriessafety, performance, reliability and lifetime represent a remarkable resource consumption for the overall battery R&D process. The time or number of tests required, the expensive equipment and a generalised trial-error approach are determining factors, together with a lack of understanding of the complex multi-scale and multi-physics phenomena in the battery system. Besides, testing facilities are operated locally, meaning that data management is handled directly in the facility, and that experimentation is done on one test bench. The FASTEST project aims develope and validate a fast-track testing platform able to deliver a strategy based on Design of Experiments (DoE) and robust testing results, combining multi-scale and multi-physics virtual and physical testing. This will enable an accelerated battery system R&D and more reliable,safer and long-lasting battery system designs. The project’s prototype of a fast-track hybrid testing platform aims for a new holistic and interconnected approach. From a global test facility perspective, additional services like smart DoE algorithms, virtualised benches, and DT data are incorporated into the daily facility operation to reach a new level of efficiency. During the project, FASTEST consortium aims to develop up to TRL 6 the platform and its components: the optimal DoE strategies according to three different use cases (automotive, stationary, and off-road); two different cell chemistries, 3b (NMC/ Si-C) and 4 solid-state (oxide polymer electrolyte); the development of a complete set of physic-based and data-driven models able to substitute physical characterisation experiments; and the overarching Digital Twin architecture managing the information flows, and the TRL6 proven and integrated prototype of the hybrid testing platform.