Thesis - Full life cycle Digital Twin for EV Batteries
Batteries represent the most valuable, and to some extend also the most defining part of electrical vehicles (EV). As EV markets ramp up, battery innovation is key to global competitiveness. Performance, weight, safety, resilience, reduction of raw material reliance, and recyclability are hot topics in research.
A digital twin allows collecting data from all phases of a batterie's life cycle, becoming a valuable source of knowledge for research, production, operation, repurposing, and recycling. One challenge comes from the heterogeneity of data sources from interacting systems.
Service-oriented architecture (SoA) together with automated data translations are expected to provide a foundation for cost-efficient solutions.
• 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
• Testing and analysing the impact of this prototype for selected use cases
===
• Ongoing studies in the fields of Computer Science, Telematics or Physics
• Good programming skills in Python
• Knowledge of modern SW and Runtime architectures (Containers, SOAP, REST, …)
• Knowledge of data structures and translations
• Knowledge of communication protocols (eg USP/TCP, COAP) and their implementation with Python modules
• Good knowledge of German and English
• For this thesis is your presence at our headquarter in Graz
===
AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.
A digital twin allows collecting data from all phases of a batterie's life cycle, becoming a valuable source of knowledge for research, production, operation, repurposing, and recycling. One challenge comes from the heterogeneity of data sources from interacting systems.
Service-oriented architecture (SoA) together with automated data translations are expected to provide a foundation for cost-efficient solutions.
• 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
• Testing and analysing the impact of this prototype for selected use cases
===
• Ongoing studies in the fields of Computer Science, Telematics or Physics
• Good programming skills in Python
• Knowledge of modern SW and Runtime architectures (Containers, SOAP, REST, …)
• Knowledge of data structures and translations
• Knowledge of communication protocols (eg USP/TCP, COAP) and their implementation with Python modules
• Good knowledge of German and English
• For this thesis is your presence at our headquarter in Graz
===
AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.
Bleibe auf dem Laufenden und verpasse kein Stellenangebot mehr!
Erhalte alle neuen Stellenanzeigen für: Data Architect in Graz
E-Mails können jederzeit abbestellt werden.