Periodic Reporting for period 2 - ARCHIMEDES (Trusted lifetime in operation for a circular economy)
Berichtszeitraum: 2024-05-01 bis 2025-04-30
In parallel, ARCHIMEDES leverages digital modelling and digital twins to support design processes, predict ageing and fault behavior, and accelerate validation while reducing experimental costs. The project integrates these technologies into demonstrators across key domains—automotive powertrains, on-board chargers, emergency response systems, and industrial electronics—ensuring preventive maintenance, exchangeability, and extended operational life. Through cross-sector deployment and the development of robust qualification protocols, ARCHIMEDES contributes to strengthening Europe’s innovation capacity, sustainability, and industrial competitiveness in the evolving power electronics landscape.
During the second reporting period, ARCHIMEDES made significant progress across all technical work packages. WP2 advanced reliability testing of wide-bandgap (WBG) components, such as GaN and SiC, across several use cases including on-board and off-board chargers, powertrains, and industrial systems. Multiple test campaigns were conducted to identify failure mechanisms and extract ageing models, feeding simulation models in WP3. WP3 focused on creating early demonstrator models that capture electrical and thermal behaviors, laying the foundation for integrating ageing and fault mechanisms. WP6 defined mission profiles and implemented new simulation approaches for digital twins and reliability predictions, while WP5 concentrated on manufacturing and commissioning of components and preparing integration in demonstrators. WP7 established an Advisory Board and coordinated dissemination efforts including newsletters and national funding communication. Together, these activities supported the project's objectives of enabling reliable, long-lifetime power electronic systems for climate-neutral mobility and industrial applications.
From a modeling perspective, the project achieved two key advancements. First, electrotechnical models were enriched with thermal dynamics, fault mechanisms, and aging characteristics, providing a more comprehensive understanding of component behavior under real-world conditions. Second, the project developed a multi-level modeling approach, linking models of varying complexity—such as integrating 3D component-level models with 0D system-level models and correlating fast microsecond-level phenomena with longer-term system behaviors over several minutes. This approach facilitates better exchanges between different tiers of the supply chain (OEMs, Tier 1, Tier 2) and allows for accurate specification of power device characteristics based on end-user requirements and the estimation of component impacts on electric vehicle functions. The validation of these models through supply chain demonstrators is expected to refine and calibrate the methodologies further.