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Bachelor- or Masterthesis - easily detachable battery cell connections @ Fraunhofer-Gesellschaft

Remote, USA Full-time Posted 2025-07-27

WHAT COUNTS FOR US IS THE IDEA -AND THE PEOPLE BEHIND IT. CHANGE STARTS WITH US.Bachelor- or Masterthesis for easily detachable battery cell connections (all genders) Darmstadt Here you create change With the increasing use of electric vehicles, the need for sustainable and efficient recycling processes for traction batteries is also growing. A key step is the automated, safe, and non-destructive separation of individual cells from used battery modules – particularly to reuse them either as second-life cells or to recover high-quality materials. As part of an ongoing research project, Fraunhofer LBF is developing an automated disassembly system. This system will now be expanded to include a module for integrating real-time battery cell health diagnostics. The goal is to apply electrochemical impedance spectroscopy (EIS) directly during the disassembly process to classify the cells for their reusability. A pre-trained machine learning model for assessing cell condition based on EIS data is available and will be integrated into the system. Your Tasks Literature research on the condition diagnosis of lithium-ion cells with a focus on EIS Design and simulate a probe system (potentially integrated with a robotic head) for cell contact and impedance measurement Analysis and preprocessing of EIS data Integration and deployment of an existing ML model (e.g., as a Python module, API, or embedded system) Evaluation of real-time capability and measurement quality Validation of the solution in a prototype test environment Documentation and presentation of the results This is your contribution Electrical Engineering / Mechatronics / Automation Engineering / Computer Science or related fields Interest in battery technologies and electromobility Basic knowledge of electrochemistry 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 Structured, independent, and solution-oriented working style Good communication skills (German…

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