Bernhard Liebhart, M.Sc.

Research

Main research

• System identification and parameter estimation of battery cells during the operation of electric vehicles using impedance spectroscopy
• Optimizing the signal processing and the system excitation in the context of intelligent reconfigurable battery systems
• Derivation of model parameters with machine learning and application of impedance data for onboard diagnosis

Current projects

• Learning Systems in Battery Modules and Battery Packs
• Diagnostics of Battery Cells and Battery Packs

Vita

• Since 2017: Research Associate at the Institute of Innovative Mobility (IIMo) at the Technische Hochschule Ingolstadt and Cooperative Doctoral Student at Audi AG
• 2015-2017: Master of Science (M.Sc.), Electrical and Computer Engineering at Technical University of Munich
• 2011-2015: Bachelor of Science (B.Sc.), Engineering Science at Technical University of Munich

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.
• B. Liebhart, S. Diehl, M. Schmid, C. Endisch, R. Kennel, Improved Impedance Measurements for Electric Vehicles with Reconfigurable Battery Systems, 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia), Singapore, Singapore (2021) 1736-1742. https://doi.org/10.1109/ECCE-Asia49820.2021.9479060.
• 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.
• C. Hanzl, C. Hartmann, M. Hölzle, B. Liebhart, M. Schmid, and C. Endisch, Current Commutation in a Switched Lithium‐Ion Cell used in Cascaded Half‐Bridge Multilevel Inverters, IET Power Electronics (2021). https://doi.org/10.1049/pel2.12088.
• B. Liebhart, M. Satzke, L. Komsiyska, C. Endisch, Application of nonlinear impedance spectroscopy for the diagnosis of lithium-ion battery cells under various operating conditions, Journal of Power Sources 480 (2020) 228673. https://doi.org/10.1016/j.jpowsour.2020.228673.
• B. Liebhart, S. Diehl and C. Endisch, Sensitivity Analysis of Battery Cell Aging Estimators based on Impedance Spectroscopy regarding Temperature Compensation, 2020 IEEE Conference on Control Technology and Applications (CCTA) (2020) 801-806. https://doi.org/10.1109/CCTA41146.2020.9206395.
• B. Liebhart, L. Komsiyska, C. Endisch, Passive impedance spectroscopy for monitoring lithium-ion battery cells during vehicle operation, Journal of Power Sources 449 (2020) 227297. https://doi.org/10.1016/j.jpowsour.2019.227297.