Thesis - General comparison of ML methods for Li-Ion battery voltage prediction
vor 2 Wochen
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 voltage of a Li-Ion battery the ML algorithms are to be trained and validated on a synthetic data set generated by an ECC Comparison of at least two different ML algorithms (NN mandatory) to R & C parameter estimation Time variant model parameters (R & C) (optional) How can prior physical knowledge be used to improve the prediction (opt.)YOUR PROFILE:
Ongoing studies in the fields of Electrical Engineering, Computer Science/Data Science or Digital Engineering Good knowledge of English Programming skills in Python Knowledge of optimization methods and machine learningWE OFFER:
You can write your thesis independently and receive professional guidance and support from our experienced employees. You will have the opportunity to exchange ideas with experts in the company and benefit from their expertise. Take the opportunity to immerse yourself in the world of AVL and embed your theoretical knowledge in a practical environment.The successful completion of the thesis is remunerated with a one-time fee of tax.
You don't want to write your final thesis just for the books, then explore the mobility of the future together with us Maybe you will be a part of it soon
At AVL, we foster and celebrate diversity: We recognize that diverse ways of thinking are required to achieve our vision of a greener, safer, and better world of mobility. Different backgrounds, attitudes, interests, and experiences make us successful. As Equal Opportunity Employer we consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation or disability status.
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Thesis - General Comparison of Ml Methods for
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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...
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Thesis - Remaining Capacity Prediction for
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Graz, Steiermark, Österreich AVL VollzeitThesis - 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...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR 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 charging current based on actual battery pack SOH Validation of the model based on real test data YOUR PROFILE: Ongoing bachelor...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR 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 transmission...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR 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 different...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitThesis Opportunity: Concept Comparison of Active Cooled Battery Disconnect Units Your Tasks: Conducting a market analysis Exploring technologies in the Battery Disconnect Units field Comparing concepts and identifying advantages and disadvantages Evaluating concepts based on defined KPIs Independent concept development Your Qualifications: Currently...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR RESPONSIBILITIES:Investigating different coupling paths between the high voltage and low voltage systemSetting up a model of the high voltage and low voltage system with all relevant componentsRunning simulations with various parameters of the relevant system componentsDocumenting and interpreting the results of the simulation runsComparing simulation...
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Thesis - Survival Analysis for Hv Battery Failures
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Graz, Steiermark, Österreich AVL VollzeitCompany: 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 integration,...
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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...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR 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...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitWe are seeking a motivated student for a master thesis in LLM-based Automated Root-Cause Analysis for the automotive industry. You will develop methods to analyze extensive textual data from multiple sources. You will work on prompt engineering and fine-tuning of large language models, in collaboration with industry experts. The objective of the thesis is to...
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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...
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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,...
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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...
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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...
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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...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitWe have an exciting research opportunity available in the following field: Thesis on Advanced Battery State Estimation Algorithms models using smart sensors. Your responsibilities include: Literature review of possible smart sensors and their impact on BCF Definition of BCF architecture for Smart sensor-based BMS Algorithm development of Battery Core...
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Graz, Steiermark, Österreich AVL LIST VollzeitWir vergeben eine Abschlussarbeit mit dem Thema: Thesis - Konzeptvergleich von aktiv gekühlten Battery Disconnect Units Das erwartet dich * Dürchführen einer Marktanalyse * Untersuchung von Technologien im Bereich Battery Disconenct Units * Vergleich von Konzepten und Erarbeitung von Vor- und Nachteilen * Bewertung der Konzepte anhand gemeinsam...
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Thesis - Full Life Cycle Digital Twin for Ev
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Graz, Steiermark, Österreich AVL VollzeitThesis - Full life cycle Digital Twin for EV Batteries:Master Thesis: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...
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Thesis - EDU Thermal Development
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Graz, Steiermark, Österreich AVL List GmbH VollzeitYOUR RESPONSIBILITIES: Postprocessing of measurement results from hardware EDU tests Build-up of a functional EDU consisting of an electrothermal network modeland cooling fluid circuits based on 1D- and 3D-simulation methodology Development of simulation methodologies for calibration of the models and comparison with test data System analysis with...
