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

Informations projet

FASTEST

N° de convention de subvention: 101103755

DOI

10.3030/101103755

Projet clôturé

Date de signature de la CE 30 Mars 2023

Date de début 1 Juin 2023

Date de fin 31 Mai 2026

Financé au titre de

• Climate, Energy and Mobility

Coût total

€ 4 781 008,71

Contribution de l’UE

€ 4 781 008,71

Coordonné par

AVESTA HOLDING
Belgium

Periodic Reporting for period 1 - FASTEST (Fast-track hybrid testing platform for the development of battery systems)

Période du rapport: 2023-06-01 au 2024-11-30

Résumé du contexte et des objectifs généraux du projet

The FASTEST project aims to meet the urgent demand for the rapid development of advanced battery systems, which are essential for the expansion of electric vehicles, renewable energy, and portable electronics. Traditional battery testing is often lengthy and costly, impeding swift innovation. Additionally, ensuring the safety, reliability, and performance of batteries requires intricate testing across various scales, from materials to complete packs, while addressing a range of physical phenomena.
To tackle these challenges, FASTEST is creating and validating an innovative fast-track hybrid testing platform. This platform merges physical testing with virtual models, utilizing Design of Experiments (DoE) and robust testing methodologies to achieve considerable time and cost efficiencies. By integrating multi-scale and multi-physics virtual and physical testing, FASTEST facilitates the design of battery systems that are more reliable, safer, and longer-lasting.
The project aims to achieve a TRL 6 prototype of the platform, validated through three industrial use cases: automotive, stationary, and off-road applications. This will include the development of optimized DoE strategies for each scenario, a comprehensive suite of physics-based and data-driven models to replace physical experiments, and a cohesive Digital Twin (DT) architecture to streamline information management.
FASTEST will push the boundaries of innovation in several critical areas:
* Transforming test facility operations: Transitioning from a localized, often manual method to a comprehensive and interconnected system that utilizes intelligent DoE algorithms, virtualized benches, and DT data for optimal efficiency.
* Optimizing DoE strategies: Crafting customized DoE methodologies for each application, reducing the necessity for physical tests while maximizing information yield.
* Implementing a DT architecture: Developing a virtual representation of the battery system and its components, which will enable effective data management, accurate modelling, and enhanced analytical capabilities.
* Developing advanced models: Formulating and validating physics-based and data-driven models that can accurately simulate and replace essential physical characterization experiments, thereby decreasing dependence on time-intensive and costly physical testing.
By accomplishing these goals, FASTEST will not only expedite battery research and development but also bolster the competitiveness of the European battery sector. The project's influence will extend beyond the immediate consortium, fostering the broader adoption of electric vehicles, renewable energy technologies, and advanced portable devices, ultimately contributing to a more sustainable energy future.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

Importantly, the project has introduced a multiscale high-fidelity modelling paradigm, which serves as a foundation for creating precise virtual models capable of replacing physical testing. This innovation is expected to significantly accelerate battery evaluation processes and decrease dependence on expensive and time-intensive physical experiments. Additionally, a detailed resource scheduling concept has been developed to optimize the allocation of testing resources, ensuring an efficient balance between physical and virtual experiments.
Acknowledging the significance of knowledge dissemination and responsible innovation, the project has proactively devised a dissemination and communication plan, along with an exploitation plan and intellectual property management strategy. These initiatives will enhance knowledge sharing and amplify the impact of the project's outcomes. Moreover, a thorough Data Management Plan has been established to ensure the careful management of research data throughout the project lifecycle, addressing data quality, accessibility, and long-term preservation.
These early accomplishments highlight the FASTEST project's promising trajectory towards its ambitious objectives. By establishing the essential framework for the hybrid testing platform and advancing key elements such as the multiscale modelling paradigm, the project is well-positioned to transform battery research and development, ultimately contributing to a more sustainable energy future.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

The FASTEST project has rapidly distinguished itself by surpassing existing benchmarks in battery testing. In its initial phase, the project has not only laid a solid foundation for a revolutionary hybrid testing platform but has also delivered tangible advancements that leapfrog conventional approaches.
A key achievement lies in the definition of use case-specific testing maps and digitalization strategies, a significant step beyond the current "one-size-fits-all" testing paradigms. This tailored approach ensures that the platform caters precisely to the unique demands of diverse applications, including automotive, stationary, and off-road scenarios. Furthermore, the establishment of a robust data management and communication architecture transcends the limitations of localized data handling prevalent in current testing facilities. This sophisticated architecture ensures seamless data flow and interoperability between all platform components, fostering a truly integrated and efficient testing ecosystem.
The project's development of a multiscale high-fidelity modelling paradigm represents a substantial advancement in virtual testing capabilities. This paradigm surpasses existing modelling approaches by enabling the creation of highly accurate virtual models capable of effectively substituting physical testing, promising significant reductions in development time and costs. Moreover, the formulation of a comprehensive resource scheduling concept optimizes the allocation of testing resources, striking an efficient balance between physical and virtual experiments that surpass the capabilities of current testing facilities.
Beyond these technical achievements, the project has proactively addressed knowledge dissemination and responsible innovation by formulating a comprehensive dissemination and communication plan, along with an exploitation plan and IP management strategy. This forward-thinking approach ensures effective knowledge sharing and paves the way for maximizing the project's impact. The creation of a robust Data Management Plan further underscores the project's commitment to data quality, accessibility, and long-term preservation, exceeding typical data management practices in the field.
These early accomplishments unequivocally demonstrate the FASTEST project's commitment to pushing the boundaries of battery testing. By delivering tangible advancements that surpass the current state-of-the-art, the project is poised to revolutionize battery R&D, accelerate innovation, and ultimately contribute to a more sustainable energy future.

FASTEST Digital Twin Dashboard Mockup

FASTEST Logo