Project description
Building a bright future for battery technology
In the realm of battery research and development, the quest for safer, more reliable, and longer-lasting lithium-ion batteries has long been hindered by resource-intensive testing methods. Current approaches rely on extensive time, costly equipment, and trial-and-error experimentation, often hindered by a lack of comprehension of the intricate multi-scale and multi-physics intricacies within battery systems. Compounding this challenge, testing facilities operate locally, further complicating data management and limiting experimentation to a single test bench. In this context, the EU-funded FASTEST project will create a fast-track testing platform rooted in design of experiments (DoE) and robust testing techniques, melding virtual and physical testing across various scales and physics. It envisions an accelerated R&D process and designs that are safer and more reliable.
Objective
Current methods to evaluate Li-ion batteries safety, 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.
Fields of science
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
9400 NINOVE
Belgium
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.