WHAT COUNTS FOR US IS THE IDEA -
AND THE PEOPLE BEHIND IT.
CHANGE STARTS WITH US.
Bachelor's or Master's thesis – Development of a Robotic Probe System for Electrochemical Impedance Measurements (all genders)
Darmstadt
As electric mobility continues to expand globally, sustainable recycling and second-life utilization of traction batteries are becoming increasingly critical. At Fraunhofer LBF, we are developing an automated disassembly system for electric vehicle batteries. A key component of this process is the rapid and reliable evaluation of individual cell health.
This thesis contributes to this vision by integrating Electrochemical Impedance Spectroscopy (EIS) into the automated disassembly workflow — enabling real-time diagnostics and intelligent decision-making in recycling and reuse processes.
A pre-trained machine learning model for assessing cell condition based on EIS data is available from previous Master Thesis and will be integrated into the system.
Here you create change
* literature review on existing EIS probe systems, contact design strategies, and integration approaches for automated testing.
* Design and model a probe system for reliable electrical contact with different lithium-ion cell types. Optimize 3D CAD designs for precision and parallel measurements.
* Evaluate the feasibility of integrating the probe system onto a robotic end-effector and design suitable mechanical and electrical interfaces.
* Integration and deployment of an existing ML model (e.g., as a Python module, API, or embedded system)
* Validation of the solution in a prototype test environment
* Documentation and presentation of the results
This is your contribution
* Electrical Engineering / Mechatronics / Automation Engineering or related fields
* Basic experience with 3D CAD design (e.g., SolidWorks, Siemens NX, or similar)
* Basic knowledge of electrochemistry and battery technology or willingness to learn
* Experience in working with Python, MATLAB or comparable tools for signal analysis
* Knowledge of machine learning (especially model deployment) is an advantage
* Knowledge of robotic systems and automation integration is advantageous.
* Good communication skills (German & English)
WWhat we have in store for you
* An individually tailored task with plenty of creative freedom
* A highly topical and practically relevant research topic with direct relevance to the circular economy
* The opportunity to actively participate in an innovative and interdisciplinary project
* Access to state-of-the-art laboratory equipment and professional support
* Prospects for a further scientific or industrial career
* Insight into current developments in battery cell disassembly and diagnostics
Home office option by arrangement (not 100%).
Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled people are given preference if they are equally suitable.
Our tasks are varied and adaptable - we work together with applicants with disabilities to find solutions that best promote their abilities. The same applies if they do not meet all the profile requirements due to a disability.
Do you have questions about the position? Our colleague Savan Dihora is there for you: Phone +49 6151 705-573
Fraunhofer Institute for Structural Durability and System Reliability LBF
www.lbf.fraunhofer.de
Requisition Number: 81749 Application Deadline: