Thesis - Development of Electro-Chemical-Mechanical Battery Models

vor 8 Monaten


Graz, Österreich AVL List GmbH Vollzeit

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 mechanical conditions. Validate the developed models using experimental data.

YOUR PROFILE:

Ongoing master studies in the fields of Engineering, Technical (computer science) or Natural sciences (physics, mathematic ...) Strong proficiency in Python Knowledge of battery technology is a plus Experience in mechanical FEA simulations is beneficial but not required High level of self-reliance with the ability to work in a team, as well as autonomously Fluent English language skills are essential, fluent German is beneficial

WE 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.



  • Graz (Stadt), Österreich AVL List GmbH Vollzeit

    We offer the following reserach topic:Thesis - Development of Electro-Chemical-Mechanical Battery ModelsYour ResponsibilitiesThe 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...


  • Graz, Steiermark, Österreich AVL List GmbH Vollzeit

    We are seeking a highly motivated researcher to develop and validate electro-chemical-mechanical models for automotive batteries using Python and the PyBaMM tool. The ideal candidate will have a strong background in engineering, technical or natural sciences, and experience with Python and mechanical FEA simulations.About the ProjectThe project involves...


  • Graz, Steiermark, Österreich AVL List GmbH Vollzeit

    Thesis OpportunityWe are seeking a highly motivated graduate to develop and validate electro-chemical-mechanical models for automotive batteries. The successful candidate will have the opportunity to apply their knowledge of battery technology and Python programming skills to create precise models using PyBaMM.The project involves reviewing state-of-the-art...


  • Graz, Österreich AVL List GmbH Vollzeit

    Thesis Opportunity at AVL List GmbHThe automotive industry plays a vital role in reducing carbon emissions and addressing climate change. Electric vehicles offer an efficient and eco-friendly transportation solution. Understanding automotive batteries is crucial for enhancing their performance and reliability.This master's thesis opportunity involves...


  • Graz, Österreich AVL List GmbH Vollzeit

    Unlock the Future of Electric Vehicles with AVLAbout the OpportunityWe invite you to collaborate with our team at AVL, a leading mobility technology company, on an exciting project focused on developing advanced electro-chemical-mechanical battery models. This thesis opportunity will enable you to contribute to enhancing the performance and reliability of...


  • Graz, Österreich AVL List GmbH Vollzeit

    We are seeking a talented individual to develop and validate precise electro-chemical-mechanical models for lithium-ion batteries using the Python tool PyBaMM.About the RoleIn this master's thesis opportunity, you will review state-of-the-art modeling approaches, investigate aging processes, and develop mathematical models for battery behavior under...


  • Graz, Steiermark, Österreich AVL List GmbH Vollzeit

    We are seeking a highly skilled researcher to contribute to the development of advanced electro-chemical-mechanical models for automotive batteries.Job DescriptionThe successful candidate will be responsible for reviewing state-of-the-art modeling approaches, investigating fundamental electrochemical aging processes, and developing mathematical and...


  • Graz, Österreich AVL List GmbH Vollzeit

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


  • Graz, Steiermark, Österreich AVL Vollzeit

    Job Description:We are seeking a skilled Electrochemical Modeling Expert to join our team at AVL. As an expert in electrochemical modeling, you will be responsible for developing mathematical and computational models for battery behavior under different mechanical conditions.Your Responsibilities:Review state-of-the-art electro-chemical-mechanical modeling...


  • Graz (Stadt), Österreich AVL List GmbH Vollzeit

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


  • Graz, Österreich AVL List GmbH Vollzeit

    We offer the following reserach topic:Thesis - Analysis of predictive fast charging algorithms to improve battery lifetimeYour ResponsibilitiesLiterature review of ageing models and predictive fast charging algorithmsAlgorithm development of lifetime prediction/ageing model of a battery packDevelopment of strategy to optimize the fast charging current...


  • Graz, Österreich AVL List GmbH Vollzeit

    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 charging current based on actual battery pack SOH Validation of the model based on real test data YOUR PROFILE: Ongoing...


  • Graz, Steiermark, Österreich AVL List GmbH Vollzeit

    Job Description:We are seeking a highly motivated student to collaborate with our team at AVL List GmbH on a thesis project focused on advanced battery state estimation algorithms using smart sensors. The selected candidate will work closely with our experienced engineers to develop and validate a Battery Core Function (BCF) architecture for a Smart-sensor...


  • Graz (Stadt), Österreich AVL List GmbH Vollzeit

    We offer the following reserach topic:Thesis - Analysis of predictive fast charging algorithms to improve battery lifetimeYour ResponsibilitiesLiterature review of ageing models and predictive fast charging algorithmsAlgorithm development of lifetime prediction/ageing model of a battery packDevelopment of strategy to optimize the fast charging current...


  • Graz, Österreich AVL List GmbH Vollzeit

    About AVL List GmbHWe are a leading mobility technology company that empowers the automotive industry to develop, simulate, and test innovative solutions for a greener, safer, and more connected world.Join our team and contribute to shaping the future of sustainable mobility.Company OverviewAVL List GmbH is a renowned provider of mobility technology...


  • Graz, Österreich AVL List GmbH Vollzeit

    We offer the following reserach topic:Thesis - Implementation & validation of Cloud Based Battery State Estimation AlgorithmsYour ResponsibilitiesDefinition of BCF architecture for cloud-based BMS system.Algorithm development of cloud-based Battery Core Function algorithmsValidation of the model based on real test dataYour ProfileOngoing bachelor studies...


  • Graz, Österreich AVL List GmbH Vollzeit

    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...


  • Graz (Stadt), Österreich AVL List GmbH Vollzeit

    We offer the following reserach topic:Thesis - Thermal and Erosion Resistance of Materials in Battery ApplicationsYour ResponsibilitiesMaterial degradation due to thermal and erosive processes is a critical concern in automotive applications, particularly in the context of battery thermal safety As electric vehicles become more prevalent, understanding...

  • Thesis Researcher

    vor 4 Wochen


    Graz, Steiermark, Österreich AVL List GmbH Vollzeit

    Thesis OpportunityWe invite students to contribute to the development of innovative solutions for electric vehicle battery testing using machine learning.Your ResponsibilitiesAs a thesis researcher, you will analyze and adapt data models for battery testing, implement a simple test environment to simulate a battery test lab, and analyze the state of the art...


  • Graz (Stadt), Österreich AVL List GmbH Vollzeit

    We offer the following reserach topic:Thesis - General comparison of ML methods for Li-Ion battery voltage predictionYour ResponsibilitiesIn 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...