Joachim Schaeffer M.Sc.

Working area(s)

Battery systems, machine learning, control engineering, cloud and edge computing, hybrid modeling


work +49 6151 16-25187

Work S3|10 517
Landgraf-Georg-Str. 4
64283 Darmstadt

I supervise Bachelor's or Master's theses in the field of battery data analytics. Please include your transcript of records and an outline of your research interest. Attaching a paper that intrigued you is highly encouraged. I'm open to co-supervise students who want to do their thesis in collaboration with an industrial partner under certain conditions. Please note that I require the written report to be in English. This might require extra effort but will help you enormously in your career.

Topic Type Status
Bayesian Optimization of Battery Fast Charging Protocols Master's Thesis ongoing
Development of a BMS System for a VTOL Glider Master's Thesis completed 02/2024
Development of a State of Charge Estimation Algorithm for Lithium-Iron-Phosphate Batteries Master's Thesis completed 07/2023
Battery Field Data: Machine Learning and Modeling for Fault Detection Master's Thesis completed 12/2022
Felddatenanalyse und Zustands- und Parameteridentifikation einer HV-Fahrzeugbatterie Master's Thesis completed 06/2022
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