Student for Master's thesis: AI-based control of Li-ion cells

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER0003TQL In Group Research & Development (RD), we design the automotive generations of the future. We mean innovative products with the highest quality and efficient development processes. We are already working on vehicles that will secure the technology leadership of Mercedes-Benz in the future. The RD/RTE department is responsible for research on future electric drives in the field of Mercedes-Benz AG. In the team ''Cell Material Analytics' at Untertürkheim, special analysis methods are developed to characterize the chemical/physical effects occurring in battery cells. We also look at new technologies at system level and evaluate them in terms of their use in future battery projects. Model-based regulations are a promising solution for controlling the high-speed charging of electric vehicles. A chemical/physical model forms the inner states of the battery cells and thus enables a charging control which reduces the charging times and limits the cell aging to a small degree. In order for the model to accurately image the battery cells over the entire life of the cells, the parameters of the aging model must be tracked using measurement data. Within the framework of the final work, appropriate methods are to be taken over, expanded and implemented from the literature. These challenges come to you: Self-release in the functioning of batteries, battery modeling, aging mechanisms and ageing follow-up

Literature research on parameter identification using AI methods

Development of several AI approaches for parameter identification

Preparing and creating training data

Comparison of the developed approaches with regard to performance and accuracy

Documentation of all results in writing

The final topics will be discussed with the university, you and us. The activity can start from November/December 2025.

Complete Bachelor Program in Electrical Engineering, Mechanical Engineering, Physics, Technomathematics or Similar

programming knowledge indispensable, ideal in Python and Matlab/Simulink

Experience in modelling of technical systems, ideally thermal-electrical-electrochemical

Knowledge of lithium-ion cell technology desirable, in particular physics of quick charging processes

Very good English skills, good German skills desirable

High level of motivation and initiative

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with an indication of the semester and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and to observe the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (SBV-Untertuerkheim@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

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