Joachim Schaeffer M.Sc.
Working area(s)
Machine learning, lithium-ion batteries, gaussian processes, field data, bayesian optimization, hybrid modeling
Contact
joachim.schaeffer@iat.tu-...
Work
S3|10 517
Landgraf-Georg-Str. 4
64283
Darmstadt
My research interests are the intersection of machine learning and lithium-ion batteries.
I’m developing robust and interpretable methods to predict cycle life from early test or formation data. Furthermore, my research focussed on the application of Gaussian processes for battery fault detection and prediction from field data and how machine learning improves battery modeling.
