Thesis - Machine Learning Based Testing of Battery
vor 4 Wochen
Company: AVL List GmbH- Location: Graz, AT, 8020- Job ID: 34916AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and in other sectors. As a global technology provider, AVL offers concepts, solutions and methodologies in the fields of e-mobility, ADAS and autonomous driving, vehicle integration, digitalization, virtualization, Big Data, and much more.
We offer a thesis with the topic of
**Thesis - Machine learning based testing of battery and fuel cells (Dept.: TRP)**:
**Master Thesis**:
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) does not require the use of prior electrochemical knowledge and their inference relies entirely on the data collected during the testing. Although such data-driven models can be very accurate, they also require a large training dataset and do not generalize well outside the training data domain.
**TASK**:
- 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
**REQUIREMENTS**:
- Good programming skills in Python or C++
- Knowledge of Machine Learning
- Good knowledge of German and English
- Skills in solving PDE are beneficial
**PREFERRED FIELD OF STUDY**:
- Computer Science
- Telematics
- Physics
- Electrical Engineering
The successful completion of the thesis is remunerated with a one-time fee of EUR €3,300.00 before tax.
According to the Austrian Employment of Foreign Nationals Act it is unfortunately not possible to assign graduate work to third-country citizens (Non-EU citizens) who study at a university abroad
AVL is not just about cars. It's about changing the future. Together.
**Job Segment**:Electrical Engineering, Physics, Virtualization, Computer Science, Electrical, Engineering, Science, Technology
-
Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR 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 Good...
-
Graz, Österreich AVL List GmbH VollzeitYOUR 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...
-
Thesis - Machine Learning for The Virtual Testing
vor 4 Wochen
Graz, Österreich AVL VollzeitCompany: AVL List GmbH- Location: Graz, AT, 8020- Job ID: 34917AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and in other sectors. As a global technology provider, AVL offers concepts, solutions and methodologies in the fields of e-mobility, ADAS and autonomous driving,...
-
Thesis - Machine Learning for The Virtual Testing
vor 4 Wochen
Graz, Österreich AVL VollzeitCompany: AVL List GmbH- Location: Graz, AT, 8020- Job ID: 34917AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and in other sectors. As a global technology provider, AVL offers concepts, solutions and methodologies in the fields of e-mobility, ADAS and autonomous driving,...
-
Thesis - Machine Learning Methods in The Field of
vor 4 Wochen
Graz, Österreich AVL VollzeitCompany: AVL List GmbH- Location: Graz, AT, 8020- Job ID: 34915AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and in other sectors. As a global technology provider, AVL offers concepts, solutions and methodologies in the fields of e-mobility, ADAS and autonomous driving,...
-
Thesis - Machine Learning Methods in The Field of
vor 4 Wochen
Graz, Österreich AVL VollzeitCompany: AVL List GmbH- Location: Graz, AT, 8020- Job ID: 34915AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and in other sectors. As a global technology provider, AVL offers concepts, solutions and methodologies in the fields of e-mobility, ADAS and autonomous driving,...
-
Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR 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: Ongoing...
-
Graz, Österreich AVL List GmbH VollzeitYOUR 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: ...
-
Graz, Österreich AVL LIST VollzeitWe offer the following reserach topic: Thesis - Implementation & validation of Cloud Based Battery State Estimation Algorithms Your Responsibilities * Definition of BCF architecture for cloud-based BMS system. * Algorithm development of cloud-based Battery Core Function algorithms * Validation of the model based on real test data Your Profile ...
-
Graz, Österreich AVL List GmbH VollzeitYOUR RESPONSIBILITIES: Development of new generation machine learning methods focused on the detection of object, lane and driving scenarios Integration of the developed methods into AVL platforms Testing and analysing full self-driving stacks under different hardware and software configurations with the integrated methods YOUR PROFILE: ...
-
Thesis - General Comparison of Ml Methods for
vor 1 Woche
Graz, Österreich AVL Vollzeit**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...
-
Graz, Steiermark, Österreich AVL List GmbH VollzeitWe have an exciting research opportunity available for you:Thesis Topic: Implementation & Validation of Cloud-Based Battery State Estimation AlgorithmsYour Responsibilities:Define the BCF architecture for a cloud-based BMS system.Develop algorithms for cloud-based Battery Core Functions.Validate the model using real test data.Your Profile:Currently pursuing...
-
Graz, Österreich AVL List GmbH VollzeitWe offer the following reserach topic:Thesis - Implementation & validation of Cloud Based Battery State Estimation AlgorithmsYour Responsibilities* Definition of BCF architecture for cloud-based BMS system.* Algorithm development of cloud-based Battery Core Function algorithms* Validation of the model based on real test dataYour Profile* Ongoing bachelor...
-
Graz, Österreich AVL LIST VollzeitWe offer the following reserach topic: Thesis - Analysis of predictive fast charging algorithms to improve battery lifetime Your Responsibilities * Literature review of ageing models and predictive fast charging algorithms * Algorithm development of lifetime prediction/ageing model of a battery pack * Development of strategy to optimize the fast...
-
Graz, Österreich AVL LIST VollzeitWe offer the following reserach topic: Thesis - Analysis of predictive fast charging algorithms to improve battery lifetime Your Responsibilities * Literature review of ageing models and predictive fast charging algorithms * Algorithm development of lifetime prediction/ageing model of a battery pack * Development of strategy to optimize the fast...
-
Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR RESPONSIBILITIES: Definition of BCF architecture for cloud-based BMS system. Algorithm development of cloud-based Battery Core Function algorithms Validation of the model based on real test data YOUR PROFILE: Ongoing bachelor studies in the fields of Electrical engineering / electronics, Automotive engineering, Automation technology,...
-
Graz, Österreich AVL List GmbH VollzeitYOUR RESPONSIBILITIES: Definition of BCF architecture for cloud-based BMS system. Algorithm development of cloud-based Battery Core Function algorithms Validation of the model based on real test data YOUR PROFILE: Ongoing bachelor studies in the fields of Electrical engineering / electronics, Automotive engineering, Automation technology,...
-
Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR RESPONSIBILITIES: Develop new machine learning methods for object detection, lane detection, and driving scenarios Integrate developed methods into AVL platforms Test and analyze self-driving systems under various hardware and software setups YOUR PROFILE: Currently studying Computer Science, Telematics, Physics, or Electrical Engineering...
-
Thesis - General Comparison of Ml Methods for
vor 1 Woche
Graz, Steiermark, Österreich AVL VollzeitThesis - 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 estimations and...
-
Graz, Steiermark, Österreich AVL List GmbH VollzeitWe have an exciting research topic available for a thesis:Analysis of Predictive Fast Charging Algorithms to Enhance Battery LifetimeYour Responsibilities:Literature review of aging models and predictive fast charging algorithmsAlgorithm development for predicting battery pack lifetimeCreating a strategy to optimize fast charging based on battery pack...
