Student (f/m/x) - Battery Aging Modelling

Dlr; Stuttgart; Hybrid; EUR 10.000 - 15.000; Teilzeit

Zusammenfassung

DLR, the German Aerospace Center in Stuttgart, invites applications for a part-time student project in battery aging modeling. The position focuses on simulation-based research within the Institute of Vehicle Concepts, offering a hands-on chance to work with cell aging models and energy systems.

You will compare aging variants, define model requirements, and develop a lean evaluation method. The role requires a student in applied computer science, engineering, or natural sciences, with Python

Qualifikationen

• Student in applied computer science, engineering, natural sciences, or comparable fields of study.
• Independent and proactive working style.
• Interest in model-based development.
• Familiarity with Python.
• Basic knowledge of energy systems and thermodynamics.

Aufgaben

• Develop an understanding of the state‑of‑the‑art: battery architecture, cell chemistries, cell modelling, cell aging effects and models.
• Compare different cell aging model variants according to required input/ output variables and parameters
• Define the requirements for a model that estimates cell aging within the overall system boundary conditions.
• Create a lean evaluation method to choose the most suitable aging model for use in the system‑level design
• Parametrize and validate a battery‑aging model based on literature parameters for exemplary cell chemistries such as LF(M)P, NMC, LTO

Kenntnisse

Model-based development

Python

Independent working style

Energy systems basics

Ausbildung

Student in applied computer science, engineering, natural sciences

Tools

Python

Jobbeschreibung

Student (f/m/x) - Battery Aging Modelling Language Profile

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Student (f/m/x) - Battery Aging Modelling Job Description Req ID: 4922 Place of work: Stuttgart Starting date: asap Career level: Student employment, Student research project and final thesis Type of employment: Part time Duration of contract: 4-6 months

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund).

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our12,000employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge?Then this is your place!

The Institute of Vehicle Concepts (FK) of the German Aerospace Centre (DLR) is internationally recognised for the design of future road and rail vehicles that enable climate and environmentally friendly mobility while being affordable and user-friendly at the same time.

We research and demonstrate the required key technologies and maintain close cooperation with other scientific institutions as well as industrial and political bodies.

What to expect

The Institute for Vehicle Concepts is seeking dedicated students to support our research in railway traction and energy systems. Our work focuses on the development and analysis of innovative, energy‑saving concepts using a variety of simulations. Your role will involve exploring and advancing simulation‑based research in railway traction and energy systems. You will contribute to the development of concepts, models, and strategies aimed at improving the efficiency and sustainability of current railway systems. Hereby is the battery a core component in the vehicle system

Your tasks

• Develop an understanding of the state‑of‑the‑art: battery architecture, cell chemistries, cell modelling, cell aging effects and models.
• Compare different cell aging model variants according to required input/ output variables and parameters
• Define the requirements for a model that estimates cell aging within the overall system boundary conditions.
• Create a lean evaluation method to choose the most suitable aging model for use in the system‑level design
• Parametrize and validate a battery‑aging model based on literature parameters for exemplary cell chemistries such as LF(M)P, NMC, LTO

Your profile

• Student in applied computer science, engineering, natural sciences, or comparable fields of study
• Independent and proactive working style
• Interest in model-based development
• Familiarity with Python
• Basic knowledge of alternative drive systems and energy distribution, energy systems and thermodynamics

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 4922) please contact:

Mr. Marcel Scharmach
Phone: [phone]