Thesis - Full life cycle Digital Twin for EV Batteries

YOUR RESPONSIBILITIES: Analysis of data structures of systems interacting with EV batteries along their life cycle (testers, chargers, battery management systems, diagnostics etc) Implementation of a digital twin, capable of collecting, processing and representing data from a sub-group of these systems, based on the Eclipse Arrowhead infrastructure ...

Firma: AVL List GmbH- Standort: Graz, AT, 8020- Job ID: 35059AVL ist ist eines der weltweit führenden Mobilitäts-Technologieunternehmen für Entwicklung, Simulation und Testen von Antriebssystemen in der Automobilbranche und in anderen Industrien. Als globaler Technologieanbieter liefert das Unternehmen Konzepte, Lösungen und Methoden in den Bereichen...

YOUR RESPONSIBILITIES: Review state-of-the-art system modeling approaches for automotive batteries. Investigate the fundamental processes during thermal runaway and their predictability in comparison with existing tests. Develop mathematical and computational system models for battery thermal runaway behavior under different conditions and...

Institut DIGITAL **Dienstort**:Klagenfurt am Wörthersee **Beginn**:ab sofort **Arbeitszeitausmaß**: Vollzeit (38,5 Wochenstunden) **Bezahlung**:€ 2.889 ; - brutto, zahlbar 14 x pro Jahr (aliquot) - Bereitschaft zur Überzahlung bei entsprechender Qualifikation und Erfahrung Das Institut DIGITAL ist ein zuverlässiger Partner auf dem Gebiet der digitalen...

The automotive industry is crucial for reducing emissions and promoting sustainable transportation. Electric vehicles offer a promising solution to environmental challenges and growing transportation needs. Accurate system models reflecting the complexities of thermal runaway are essential for understanding its factors and assessing battery reliability.  ...

**Thesis - General comparison of ML methods for Li-Ion battery voltage prediction**: **Bachelor Thesis**: In the automotive industry, SOC (State of Charge) and SOH (State of Health) estimates play an essential role for electric vehicles. These estimates increase safety and improve charging efficiency. We use machine learning algorithms to improve these...

Firma: AVL List GmbH- Standort: Graz, AT, 8020- Job ID: 34827AVL ist eines der weltweit führenden Mobilitäts-Technologieunternehmen für Entwicklung, Simulation und Testen von Antriebssystemen in der Automobilbranche und in anderen Industrien. Als globaler Technologieanbieter liefert das Unternehmen Konzepte, Lösungen und Methoden in den Bereichen...

Company: AVL List GmbH- Location: Graz, AT, 8020- Job ID: 34827AVL is the world’s largest independent company for development, simulation and testing in the automotive industry, and in other sectors. As a global technology leader, AVL provides concepts, solutions and methodologies in the fields of e-mobility, ADAS and autonomous driving, vehicle...

YOUR RESPONSIBILITIES: Development of machine learning methods Implementation of the developed methods into AVL testing pipeline of Batteries and Fuel Cells Overcoming limitations of sparse and out-of-distribution training datasets YOUR PROFILE: Ongoing studies in the fields of Computer Science, Telematics, Physics or Electrical Engineering...

The automotive industry's role in curbing carbon emissions and addressing climate change is vital. Electric vehicles offer an efficient and eco-friendly transportation solution. Understanding automotive batteries is key to enhancing their performance and reliability. Electro-chemical-mechanical models help capture the intricate dynamics of battery...

Dürchführen einer Marktanalyse Untersuchung von Technologien im Bereich Impedanz Apassungen von Batterien Analyse von Bauteilverfügbarkeiten Konzeptentwicklung eines Halbleiterschaltelements Vergleich mit bestehenden Konzepten Laufendes Bachelorstudium (FH / Universität) im Bereich Elektrotechnik / Elektronik, Fahrzeugtechnik, Automatisierungstechnik,...

YOUR RESPONSIBILITIES: Review state-of-the-art electro-chemical-mechanical modeling approaches for automotive batteries. Investigate the fundamental electrochemical aging processes and their coupling with mechanical deformation and cell thickness growth (swelling). Develop mathematical and computational models for battery behavior under different...

Wir vergeben eine Abschlussarbeit mit dem Thema: DAS ERWARTET DICH: Dürchführen einer Marktanalyse Untersuchung von Technologien im Bereich Impedanz Apassungen von Batterien Analyse von Bauteilverfügbarkeiten Konzeptentwicklung eines Halbleiterschaltelements Vergleich mit bestehenden Konzepten DAS BRINGST DU MIT: Laufendes...

Fitting Physical Models to the test measurements of the Batteries or Fuel Cells are a powerful tool in capturing their inner characteristics. However, the fidelity of the physical model is highly dependent on the set of physical phenomena coved by mathematical formalism. Differently, testing based on data-driven models, like artificial neural networks (ANN)...

YOUR RESPONSIBILITIES: Performance comparison of the Machine Learning methods developed at AVL Identification of the limitations of the Machine Learning methods developed at AVL  Analysing the methods by using cognitive testing methods available in the literature on a publicly available AD stack like Autowave and Apollo YOUR PROFILE: ...

**Thesis - Hybrid Aeroacoustic Investigation: Aeroacoustic source terms from PANS**: **Master Thesis**: **WHAT WE OFFER YOU**: The following tasks should be achieved within this master thesis: - Literature research on the hybrid CAA approach and current methods. - Utilize Partially Averaged Navier-Stokes (PANS) equations to compute acoustic source terms...

YOUR RESPONSIBILITIES: Development of innovative concepts in combination with optical measurement technologies Simulation of design / programming of readout and data evaluation for sensor systems Realization and construction of demonstrators (prototypes) Testing of components / systems in the laboratory in Graz Valuation of laboratory and...

YOUR RESPONSIBILITIES: Modeling of an electrical equivalent circuit of a battery (ECC) State Space Model (SS-Model) on time invariant model parameters (R & C constant) Implementation and comparison of different ML algorithms like NN, LSTM, Decision Trees, Gaussian Processes, Feature Engineering for system identification to predict the output...

**Thesis - Hybrid Aeroacoustic investigation of rotating axial fan modelled as EMBB**: **Master Thesis**: The scope of this master thesis is to investigate aeroacoustic noise emission from the case of a rotating axial fan by modelling the fan as a rotating Embedded Body (EMBB) on a stationary mesh. Scale resolving approaches to simulation of turbulent flow...

**Thesis - Comparative Aeroacoustic Analysis of Rotating Axial Fans**: **Master Thesis**: **WHAT WE OFFER YOU**: The following tasks should be achieved within this master thesis: - Literature research on the hybrid CAA approach and current methods. - Implement the hybrid Computational Aero-Acoustic (CAA) approach, utilizing scale resolving approaches like...