Thesis - Development of sensors & test systems for fuel cells of electric vehicles

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

Technologies such as photonics, additive manufacturing, and embedded AI show significant potential to improve the performance of existing automotive test and measurement solutions (such as fuel cell, battery, exhaust, and fuel consumption measurement technologies) and enable future innovative systems through novel applications.    Development of...

Additive Manufacturing technology has significant potential to improve the performance of existing automotive test and measurement solutions (such as fuel cell, battery, exhaust, and fuel consumption measurement technology) and enables future innovative systems through novel geometries and advanced combinations of materials.   Development of innovative...

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: Development of innovative concepts by combining manufacturing and measurement technologies embedding fiber optic sensor technology in additively manufactured components Multi-physical simulation / analytical calculation of the design Realization and construction of demonstrators (prototypes) Testing of components / systems...

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: 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...

We offer the following reserach topic:Thesis - Implementation and validation of physics based cell modelsYour Responsibilities* Literature review of possible physics-based cell models* Algorithm development and implementation of physics-based model* Concept development of a data generation model to obtain data which can be to calibrate an equivalent...

**Thesis - Remaining Capacity Prediction for Automotive HV Batteries**: **Master Thesis**: We are looking for a motivated student to conduct their master thesis in li-ion batterie modelling using statistical-/ physical modelling techniques. The automobile industry's transition to electric vehicles is accelerating, with this paradigm shift, the efficiency and...

YOUR RESPONSIBILITIES: ​​​​​​​Literature review of possible physics-based cell models Algorithm development and implementation of physics-based model Concept development of a data generation model to obtain data which can be to calibrate an equivalent circuit/RC Model Validation of the model based on real test data YOUR PROFILE:...

We offer the following reserach topic:Thesis - Advanced Battery State Estimation Algorithms models using smart sensorsYour Responsibilities* Literature review of possible smart sensors and its effect/impact on BCF* Definition of BCF architecture for Smart-sensor based BMS.* Algorithm development of Battery Core Function based on smart sensors* Validation of...

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...

An autonomous vehicle is a complex cyber-physical system that requires state-of-the-art ML/AI software components and sophisticated hardware equipment to work together. For the application of testing autonomous driving systems under different driving conditions, AVL is developing various machine learning components that are integrated into complex...

YOUR RESPONSIBILITIES: Literature review of possible smart sensors and its effect/impact on BCF Definition of BCF architecture for Smart-sensor based BMS. Algorithm development of Battery Core Function based on smart sensors Validation of the model based on real test data YOUR PROFILE: Ongoing bachelor studies in the fields...

**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...

**Thesis - Enhancing Hybrid CAA: The Power of Automatic Mesh Refinement**: **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. - Conduct analyses and evaluations to assess the possibilities of AMR to improve the efficiency of the...

​​​​​​​Literature review of possible physics-based cell models Algorithm development and implementation of physics-based model Concept development of a data generation model to obtain data which can be to calibrate an equivalent circuit/RC Model Validation of the model based on real test data Ongoing bachelor studies in the fields...

Welcome to the sustainable world of BEST! BEST - Bioenergy and Sustainable Technologies GmbH is the competence center in Austria that conducts pre-competitive industry-related research in the field of bioenergy and biobased economy. At BEST we work as a team to actively shape the transition to a sustainable and climate friendly bioeconomy. Your talent and...

In this thesis, the main focus will be on developing a highly accurate multibody simulation model of an electric drive unit. The simulation model will take into consideration all the relevant excitation sources, such as gears, E-motor and inverter, to ensure a comprehensive representation of the system's behavior. This will enable the simulation to...