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

FASTEST - 用于电池系统开发的快速混合测试平台

• 批准号: 10078013
• 金额: $ 23.23万
• 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=10078013
• 关键词: FASTEST; Fast; track; hybrid; testing

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.

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是一个巨大的资源消耗。所需的测试时间或数量、昂贵的设备和普遍的试错方法是决定性因素，此外，对电池系统中复杂的多尺度和多物理现象缺乏了解。此外，测试设施在本地运行，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完成。FASTEST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）和强大测试结果的策略，结合多尺度和多物理虚拟和物理测试。这将加速电池系统的研发，并实现更可靠、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采用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DoE算法、虚拟化工作台和DT数据等附加服务被纳入日常设施运营中，以达到新的效率水平。在项目期间，FASTEST联盟旨在开发TRL 6平台及其组件：根据三种不同用例的最佳DoE策略（汽车、固定和越野）;两种不同的电池化学，3b（NMC/ Si-C）和4个固态（氧化物聚合物电解质）;开发一套完整的基于物理和数据驱动的模型，能够替代物理表征实验;以及管理信息流的总体数字孪生架构，以及混合测试平台的TRL 6验证和集成原型。