Michael Theiler, M.Sc.

Research Assistant Institute of Innovative Mobility (IIMo)

Research

Main research

  • Intelligent battery systems
  • Battery safety and Abuse tests of lithium-ion cells
  • Detection and safety-critical conditions in lithium-ion cells

Current projects 

Vita

  • Since 2022: Research assistant with the intention to do a PhD at the Institute for Innovative Mobility (IIMo) at the Technische Hochschule Ingolstadt
  • 2020-2022: Master of Science Applied Research of Engineering Sciences at the Technische Hochschule Ingolstadt
  • 2018-2020: Dual study program at Continental AG
  • 2016-2020: Bachelor of Engineering Electrical Engineering and Electromobility at the Technische Hochschule Ingolstadt

Publications

  • M. Theiler, C. Karaali, C. Endisch, Fault Detection and Diagnosis Within Battery Systems Using Autoencoders and Explainable AI, 2026 International Power Electronics Conference (IPEC-Nagasaki 2026 - ECCE Asia), Nagasaki, Japan (2026), doi: 10.23919/IPEC-Nagasaki2026-EC64663.2026.11596599.
  • M. Theiler, C. Endisch, Cross-cell monitoring for fault detection in battery systems: Sensitivity to initial cell-to-cell variations, 2026 IEEE International Conference on Industrial Technology (ICIT), Monterrey, Mexico (2026), doi: 10.1109/ICIT64854.2026.11491347.
  • M. Theiler, S. Diehl, A. Baumann, C. Endisch, Data preprocessing for fault detection using principal component analysis: A case study on faults within battery systems, eTransportation (2026). https://doi.org/10.1016/j.etran.2026.100610.
  • M. Theiler, A. Baumann, C. Endisch, Influence of inhomogeneous state of charge distributions on thermal runaway propagation in lithium-ion batteries, Journal of Energy Storage, Volume 95 (2024). https://doi.org/10.1016/j.est.2024.112483.
  • M. Theiler, D. Schneider, C. Endisch, Experimental Investigation of State and Parameter Estimation within Reconfigurable Battery Systems, Batteries 9 (3) (2023) 145. https://doi.org/10.3390/batteries9030145.
  • M. Theiler, D. Schneider, C. Endisch, Kalman Filter Tuning Using Multi-Objective Genetic Algorithm for State and Parameter Estimation of Lithium-Ion Cells, Batteries 8 (2022) 104. https://doi.org/10.3390/batteries8090104.
  • G. W. Ngaleu, M. Theiler, X. Straßer, C. Hanzl, L. Komsiyska, C. Endisch, M. Lewerenz, Influence of Switching on the Aging of High Power Lithium-Ion Cells, Batteries 8(4) (2022), 33. https://doi.org/10.3390/batteries8040033.
  • M. Theiler, C. Endisch and M. Lewerenz, Float Current Analysis for Fast Calendar Aging Assessment of 18650 Li(NiCoAl)O2/Graphite Cells, Batteries 7 (2021) 22. https://doi.org/10.3390/batteries7020022.

 

Further websites