Thesis - Advanced electric drive modeling using multi body dynamics

YOUR RESPONSIBILITIES: Execution of a literature study Development of transmission dynamic modeling techniques Evaluation of tool and performance through a study Calculation of relevant EDU dynamic and excitation parameters YOUR PROFILE: Ongoing master studies in the fields of Mechnical Engineering, Technical Physics or similar ...

**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...

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...

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 main focus of the master thesis will be the development of a simulation tool that uses ray tracing for predicting noise levels in urban areas. The model will take into account the acoustic sources coming from electrical loading columns that produce noise through the fan unit. To compare the accuracy and efficiency of the model it is compared to FEM...

YOUR RESPONSIBILITIES: Literature study Development of ray tracing modeling techniques Tool and performance study and comparison with reference FEM calculations Calculation of relevant urban noise predictors YOUR PROFILE: Ongoing studies in the fields of civil engineering, mechanical engineering or technical physics Experience in...

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...

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.  ...

About Fisker Inc. California-based Fisker Inc. is revolutionizing the automotive industry by developing the most emotionally desirable and eco-friendly electric vehicles on Earth. Passionately driven by a vision of a clean future for all, the company is on a mission to become the No. 1 e-mobility service provider with the world’s most sustainable...

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: 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...

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...

**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...

YOUR RESPONSIBILITIES: State of the art analysis of approaches to perform ML on DVS streams Select a model, then fine-tune it if required for a typical automotive scenario alternatively: build a simple own model by applying multi-stage learning using an existing perception system as feature extractor Port model to run on neuromorphic computing...

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...

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...

The Research Center Pharmaceutical Engineering GmbH (RCPE)** **is a global leader in pharmaceutical engineering sciences. We help our partners create and manufacture advanced medicines for patients worldwide through optimizing products and processes. For our team / area Modeling and Prediction we are looking for an active, highly qualified...

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: ...

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...

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 fields e.g., Large-Eddy Simulation (LES), can directly deliver accurate acoustic source terms as input for...