Next-Generation Methods, Tools, and Products for Digital Twin-Based Diagnostics and Prognostics of Electric Vehicles
Period: 01.07.2026 – 30.06.2029
Project manager:
Prof. Dr. Tomaž Katrašnik
The project focuses on the development of advanced methods for the diagnostics and prognostics of electric vehicles. A key enabling technology is the use of digital twins, which provide accurate real-time monitoring of system conditions while enabling the early detection and prediction of faults. This approach significantly enhances the reliability, safety, and efficiency of electric mobility.
A distinctive strength of the project lies in its interdisciplinary approach and close collaboration with industrial partners, facilitating the effective translation of research outcomes into practical technological solutions. According to the reviewers’ assessment, the project has considerable potential to contribute to the advancement of sustainable and digital mobility while strengthening international competitiveness.