Artificial Intelligence using Quantum measured Information for realtime distributed systems at the edge

The goal of HSO in the A-IQ Ready project is to research and develope a holistic concept to derive a digital twin of the powertrain. This will be done by using artificial intelligence based on a novel approach that includes the fusion of the training algorithms and the real-world testbench. Thus targeting an enhanced data aquisition as well as a possibility to enable industrial partners to adapt the digital twin directly to their applications. This leads to a novel/greater system monitoring on a component as well as on a system level (e.g. health monitoring, energy consumption, remaining range, ...).

Forschungsschwerpunkt:
Nachhaltige Energiesysteme
Jahr der Einwerbung:
2023
Laufzeit Beginn:
01.01.2023
Laufzeit Ende:
31.03.2026
Projektleitung:
Christian Klöffer
Beteiligte Professoren:
Christian Klöffer
Patrick König
Fakultät:
Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI)
Institut:
Institut für nachhaltige Energiesysteme (INES)
Fördersumme:
41.213,00 €
Förderprogramm:
KDT JU - Key Digital Technologies Joint Undertaking (vormals ECSEL)