Imagine if your car's battery and motor lasted much longer because the electronic 'brains' controlling them were built from tougher materials. This work replaces standard silicon chips with advanced materials that handle heat and stress better. It also creates a digital twin—like a virtual health monitor—that predicts when a part will fail before it actually happens.
Current silicon-based power electronics lack the lifespan and efficiency needed for the massive scale-up of electric transport and green infrastructure, leading to high replacement costs and reliability risks.
Developed GaN and SiC semiconductor qualification protocols, digital twins for ageing prediction, and machine learning models for thermal anomaly detection.
If you are an EV manufacturer dealing with short component lifespans in inverters—this project developed GaN and SiC semiconductor qualification methods that extend operational life and improve efficiency.
If you are an aviation company dealing with strict safety and reliability requirements for electrification—this project developed trusted lifetime models and high-performance power electronics to ensure flight safety.
If you are a provider dealing with high maintenance costs for power systems—this project developed digital twins and anomaly detection using machine learning to enable preventive maintenance.
Based on available project data, specific pricing or implementation costs are not provided; however, the project aims to reduce experimental costs through digital modelling.
The project involves 33 industry partners and focuses on demonstrators for automotive powertrains and industrial electronics, indicating a strong push toward industrial scaling.
Based on available project data, specific licensing terms are not listed, but the project focuses on developing qualification protocols and standardization for WBG technologies.
It integrates via digital twins and updated power electronic components like GaN-based transistors and SiC devices into on-board chargers and inverters.
The project runs from 2023-05-01 to 2026-07-31, suggesting that final validated results will be available by mid-2026.
The consortium is heavily industry-weighted with 33 companies (60% of the 55 partners), including 14 SMEs. This high industrial participation across 11 countries suggests the results are designed for immediate commercial application rather than pure academic research, with a strong focus on the automotive and industrial supply chains.
Contact AVL LIST GMBH in Austria for technical specifications on GaN/SiC qualification.
Contact us to identify which of the 33 industry partners holds the specific IP for your use case.
