Martin Nachtsheim, M.Sc.

Room: S421

Research

Investigation of model-based methods for online parameter identification of electrical machines
Data-driven saturation behavior modeling of electrical machines
Model-based and data-driven loss modeling of power electronic converters

Since 2019: Cooperative doctoral student at Audi AG in the field of control power electronics
Since 2019: Research associate at the Institute for Innovative Mobility at the Technische Hochschule Ingolstadt, Online parameter identification and diagnosis technology of electrical machines
2017-2018: Student assistant at the Institute for Energy and Automation Technology in the Department of Measurement and Diagnostic Technology at the Technical University of Berlin
2016-2019: Master Automotive Systems at Technical University of Berlin with specialization on power electronics and technical diagnosis
2012-2015: Working student at MAN Diesel & Turbo in the field of measurement and diagnosis technology
2012-2016: Bachelor in electrical engineering at Beuth University of Applied Siences with specialization on electrical drive technology
2007-2001: Apprenticeship in mechatronics at Goodyear Dunlop Tires Germany GmbH

M. Nachtsheim, J. Ernst, C. Endisch, R. Kennel, Performance of Recursive Least Squares Algorithm Configurations for Online Parameter Identification of Induction Machines in an Automotive Environment, IEEE Transactions on Transportation Electrification (2023). https://doi.org/10.1109/TTE.2023.3244619.
M. Nachtsheim, T. Hartmann, C. Endisch, Physically Inspired Neural Network for Modeling Induction Machine Nonlinear Magnetic Saturation, 2022 IEEE Transportation Electrification Conference & Expo (ITEC) (2022), 874-881, doi: 10.1109/ITEC53557.2022.9813908.
M. Nachtsheim, L. Korkmaz, M. Schmoelz, C. Endisch, Observability Analysis for Parameter Identification of Induction Machines in Automotive Environment, 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) (2022), 206-213, doi: 10.1109/ISIE51582.2022.9831658.
M. Nachtsheim, M. Betz and C. Endisch, Explicit Analytical Approach for Electromagnetic Modeling of Arbitrary Pole Pair Induction Machines, 2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE), Shiga, Japan (2022), 41-48, doi: 10.1109/CPEEE54404.2022.9738660.