Enhancing Battery Health Monitoring in Battery Assembly Digital Twin (BATCAT)

26^th of November 2024 11:45 – 13:15 V.1.07

Dipl. Ing. Mohamed El Bahnasawi, B.Sc.

Wissenschaftlicher Mitarbeiter
Artificial Intelligence and Cybersecurity (AICS) | Production Systems (PROSYS)
Institute for Smart System Technologies (SST) | Transportation Informatics Group (TIG )

Abstract:

This work is part of the BatCAT project, which aims to advance battery manufacturing through the development of digital twins by integrating multi-physics models, machine learning, and explainable AI. In Work Package 5, we focus on creating machine learning models to monitor battery health, specifically targeting key metrics such as State of Health (SOH) and Remaining Useful Life (RUL). Current efforts include creating and testing hybrid models like Cellular Neural Networks (CeNNs), Transformers, and Autoencoders, which are designed to capture both spatial and temporal patterns in battery systems. To ensure transparency and trust in the predictions, we integrate explainable AI methods, while maintaining high performance. This work contributes to reliable and interpretable tools for monitoring battery health in the battery assembly digital twin (BatCat).

„The Codec of Celovec: Exploring Local Climate (Re-)Actions and Their Implications“

November 5^th 2024 at 11:45 in V.1.07.

Johannes Kröger, BA MA (Institut für Kulturanalyse, IFK – Abteilung Empirische Kulturwissenschaft/Kulturanthropologie)

Abstract of the talk:

Klagenfurt’s aspiration to achieve climate neutrality by 2030 is undermined by its reliance on car-dependent infrastructure, fragmented governance, and policies that fail to foster genuine sustainability. While the city actively promotes various sustainability initiatives, these efforts often rely on compensatory measures—such as offsetting pollution through its natural resources—without addressing the deeper cultural and behavioral factors that drive environmental degradation. This situation raises important questions about the interactions between political structures, social dynamics, and individual behaviors, which together contribute to the gap between the city’s climate neutrality goals and actual environmental practices. Through an interdisciplinary approach, including digital tools, qualitative fieldwork, stakeholder interviews and an in-depth analysis of policy frameworks, this study aspires to offer insights that not only tackle local challenges but also contribute to wider debates on environmental justice and sustainable living at a global scale.

St. Veit Symposium „Künstliche Intelligenz“ 24. und 25. Oktober 2024

Wir freuen uns sehr am diesjährigen KI Symposium in St. Veit
teilzunehmen und den Menschen eine Perspektive näher zu bringen, die den
Menschen in den Mittelpunkt stellt. Mit unterschiedlichen Aktivitäten
beleuchten wir, wie KI und Gesellschaft in Beziehung stehen und welche
Folgen das haben kann. Details findet man hier.

https://www.aau.at/blog/ki-jeopardy-bei-st-veit-symposium-zu-kuenstlicher-intelligenz/

KI-Jeopardy bei St. Veit Symposium zu Künstlicher Intelligenz

Von 24. bis 26. Oktober 2024 findet in St. Veit das öffentlich zugängliche Symposium „Künstliche Intelligenz“ statt. Die Universität Klagenfurt trägt mit Vorträgen und der Teilnahme an Panel-Diskussionen zu der Veranstaltung bei. Am 24. und 25. Oktober wird eine Gruppe des Digital Age Research Center (D^!ARC) mit einer Mitmachstation vor Ort sein.

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