Dominik Schneider, M.Sc.

Research Assistant Institute of Innovative Mobility (IIMo)

Room: S421

Research

Main research

  • State and parameter estimation of lithium-Ion batteries
  • Active parameter estimation in reconfigurable battery systems
  • Sensor data fusion within intelligent battery systems

Current projects

Vita

  • Since 2018: Research Associate at the Institute of Innovative Mobility (IIMo) at the Technische Hochschule Ingolstadt
  • 2016-2018: Working Student at the IAV Munich
  • 2016-2018: Master of Science Vehicle Mechatronics at Hochschule München
  • 2012-2016: Bachelor of Engineering Mechatronics at the Technische Hochschule Ingolstadt
  • 2011-2016: Dual Degree student program at the AUDI AG

Publications

  • B. Liebhart, S. Diehl, D. Schneider, C. Endisch, R. Kennel, Enhancing the Cell Impedance Estimation of a Lithium-Ion Battery System with Embedded Power Path Switches, 2021 IEEE Applied Power Electronics Conference and Exposition (APEC), Phoenix, AZ, USA (2021) 967-974. https://doi.org/10.1109/APEC42165.2021.9487173.
  • L. Komsiyska, T. Buchberger, S. Diehl, M. Ehrensberger, C. Hanzl, C. Hartmann, M. Hölzle, J. Kleiner, M. Lewerenz, B. Liebhart, M. Schmid, D. Schneider, S. Speer, J. Stöttner, C. Terbrack, M. Hinterberger, C. Endisch, Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles, Energies 14 (2021) 5989. https://doi.org/10.3390/en14185989.
  • D. Schneider, B. Liebhart, C. Endisch, Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework, 2021 IEEE International Instrumentation and Measurement Technology Conference (I²MTC).
  • D. Schneider, B. Liebhart, C. Endisch, Active state and parameter estimation as part of intelligent battery systems, Journal of Energy Storage 39 (2021) 102638. doi: 10.1016/j.est.2021.102638.
  • D. Schneider, B. Liebhart, C. Endisch, Robustness and Reliability of Model-based Sensor Data Fusion in a  Lithium-Ion Battery System, 2020 IEEE Conference on Control Technology and Applications (CCTA) (2020). doi: 10.1109/CCTA41146.2020.9206336.
  • D. Schneider, U. Vögele, C. Endisch, Model-based sensor data fusion of quasi-redundant current and voltage measurements in a lithium-ion battery module, Journal of Power Sources 440 (2019) 227156. doi: 10.1016/j.jpowsour.2019.227156.
     

Further websites