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Publications of the Research group ELS

Scientific Journal and Book Publications

2023

  • J. Stöttner, C. Hanzl, C. Endisch, Experimental investigation of parasitic side effects in MOSFET-based multilevel inverter for electric vehicle applications, Electric Power Systems Research, Volume 218 (2023). https://doi.org/10.1016/j.epsr.2023.109197.
  • 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.
  • X. Straßer, G. W. Ngaleu, C. Hanzl, M. Azzam, C. Endisch, M. Lewerenz, Influence of Switching on the Aging of High Energy Lithium-Ion Cells, Batteries 9 (2) (2023) 139. https://doi.org/10.3390/batteries9020139.
  • 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.

2022

  • A. Rauscher, M. Hufnagel, C. Endisch, Pareto optimization of wavelet filter design for partial discharge detection in electrical machines, Measurement, Volume 205 (2022). https://doi.org/10.1016/j.measurement.2022.112163.
  • J. Kleiner, F. Lambauer, R. Singh, L. Komsiyska, M. Hinterberger, C. Endisch, Experimental study of cell integrated heat pipe cooling with a lithium-ion cell emulator, Journal of Energy Storage, Volume 56, Part A (2022). https://doi.org/10.1016/j.est.2022.105808.
  • 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.
  • M. Schmid, C. Endisch, Online diagnosis of soft internal short circuits in series-connected battery packs using modified kernel principal component analysis, Journal of Energy Storage 53 (2022) 104815. https://doi.org/10.1016/j.est.2022.104815.
  • C. Terbrack, J. Stöttner and C. Endisch, Design and Validation of the Parallel Enhanced Commutation Integrated Nested Multilevel Inverter Topology, IEEE Transactions on Power Electronics (2022). doi: 10.1109/TPEL.2022.3183859.
  • J. Stöttner, A. Rauscher, C. Endisch, Pareto optimization of multilevel inverter structures regarding the DC magnitude, switching frequency and switching angles, International Journal of Electrical Power & Energy Systems, Volume 142, Part A (2022). https://doi.org/10.1016/j.ijepes.2022.108259.
  • J. Stöttner, C. Hanzl, C. Endisch, Extensive investigation of symmetrical and asymmetrical cascaded multilevel inverters for electric vehicle applications, Electric Power Systems Research, Volume 209 (2022). https://doi.org/10.1016/j.epsr.2022.108009.
  • 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. Schmid, J. Kleiner, C. Endisch, Early detection of Internal Short Circuits in series-connected battery packs based on nonlinear process monitoring, Journal of Energy Storage 48 (2022) 103732. https://doi.org/10.1016/j.est.2021.103732.

2021

  • D. Ledwoch, L. Komsiyska, E-M. Hammer, K. Smith, P.R. Shearing, D.J.L. Brett, E. Kendrick, Determining the electrochemical transport parameters of sodium-ions in hard carbon composite electrodes, Electrochimica Acta (2021). https://doi.org/10.1016/j.electacta.2021.139481.
  • 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.
  • J. Kleiner, L. Lechermann, L. Komsiyska, G. Elger, C. Endisch, Thermal Behavior of Intelligent Automotive Lithium-Ion Batteries: Operating Strategies for Adaptive Thermal Balancing by Reconfiguration, Journal of Energy Storage 40 (2021) 102686. doi: 10.1016/ j.est.2021.102686.
  • S. Mayer, T. Classen, C. Endisch, Modular production control using deep reinforcement learning: proximal policy optimization, J Intell Manuf (2021). https://doi.org/10.1007/s10845-021-01778-z.
  • M. Schmid, E. Gebauer and C. Endisch, Structural Analysis in Reconfigurable Battery Systems for Active Fault Diagnosis, IEEE Transactions on Power Electronics 36(8) (2021) 8672-8684. http://dx.doi.org/10.1109/TPEL.2021.3049573.
  • D. Schneider, B. Liebhart, C. Endisch, Active state and parameter estimation as part of intelligent battery systems, Journal of Energy Storage 39 (2021) 102638. https://doi.org/10.1016/j.est.2021.102638.
  • J. Kleiner, M. Stuckenberger, L. Komsiyska, C. Endisch, Advanced Monitoring and Prediction of the Thermal State of Intelligent Battery Cells in Electric Vehicles by Physics-Based and Data-Driven Modeling, Batteries 7(2) (2021) 31. https://doi.org/10.3390/batteries7020031.
  • J. Kleiner, M. Stuckenberger, L. Komsiyska, C. Endisch, Real-time Core Temperature Prediction of Prismatic Automotive Li-Ion Battery Cells based on Artificial Neural Networks, Journal of Energy Storage (2021) 102588. https://doi.org/10.1016/j.est.2021.102588.
  • J. Kleiner, A. Heider, L. Komsiyska, G. Elger, C. Endisch, Thermal Behavior of Intelligent Automotive Lithium-Ion Batteries: Experimental Study with Switchable Cells and Reconfigurable Modules, Journal of Energy Storage (2021) 103274. doi: 10.1016/j.est.2021.103274.
  • M. Theiler, C. Endisch, 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.
  • C. Hanzl, C. Hartmann, M. Hölzle, B. Liebhart, M. Schmid, 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.
  • J. Kleiner, R. Singh, M. Schmid, L. Komsiyska, G. Elger, C. Endisch, Influence of heat pipe assisted terminal cooling on the thermal behavior of a large prismatic lithium-ion cell during fast charging in electric vehicles, Applied Thermal Engineering 188 (2021) 116328. https://doi.org/10.1016/j.applthermaleng.2020.116328.
  • M. Schmid, E. Gebauer, C. Hanzl, C. Endisch, Active Model-Based Fault Diagnosis in Reconfigurable Battery Systems, IEEE Transactions on Power Electronics 36(3) (2021) 2584-2597. https://doi.org/10.1109/TPEL.2020.3012964.
  • M. Schmid, H.-G. Kneidinger, C. Endisch, Data-Driven Fault Diagnosis in Battery Systems through Cross-Cell Monitoring, IEEE Sensors Journal 21(2) (2021). https://doi.org/10.1109/JSEN.2020.3017812.

2020

  • B. Liebhart, M. Satzke, L. Komsiyska and 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.
  • J. Kleiner, L. Komsiyska, G. Elger and C. Endisch, Thermal Modelling of a Prismatic Lithium-Ion Cell in a Battery Electric Vehicle Environment: Influences of the Experimental Validation Setup, Energies 13(1) (2020) 62. https://doi.org/10.3390/en13010062.
  • B. Liebhart, L. Komsiyska and 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.
  • M. Lewerenz, C. Rahe, G. Fuchs, C. Endisch and D.U. Sauer, Evaluation of shallow cycling on two types of uncompressed automotive Li(Ni1/3Mn1/3Co1/3)O2-Graphite pouch cells, Journal of Energy Storage 30 (2020) 101529. https://doi.org/10.1016/j.est.2020.101529.
  • M. Schmid, U. Vögele and C. Endisch, A novel matrix-vector-based framework for modeling and simulation of electric vehicle battery packs, Journal of Energy Storage 32 (2020) 101736. https://doi.org/10.1016/j.est.2020.101736.

2019

  • L. Eriksson, A. Thomasson, K. Ekberg, A. Reig, M. Eifert, F. Donatantonio, A. D´Amato, I. Arsie, C. Pianese, P. Otta, M. Held, U. Vögele und C. Endisch, Look-ahead controls of heavy duty trucks on open roads - six benchmark solutions, Control Engineering Practice , 83. Jg. (2019) 45-66. https://doi.org/10.1016/j.conengprac.2018.10.014.
  • D. Schneider, U. Vögele and C. Endisch, Model-based sensor data fusion of quasi-redundant voltage and current measurements in a lithium-ion battery module, Journal of Power Sources 440 (2019) 227156. doi: 10.1016/j.jpowsour.2019.227156.

2017

  • S. Altmannshofer und C. Endisch, Robuste Parameterschätzung für reale Anwendungen, in Intelligente Verfahren: Identifikation und Regelung nichtlinearer Systeme, Springer Vieweg (2017). https://doi.org/10.1007/978-3-662-55327-5_12.
  • C. Endisch, Nichtlineare Optimierung in der Systemidentifikation, in Intelligente Verfahren, Springer Vieweg (2017).
  • C. Endisch, Stochastische Optimierungsverfahren, in Intelligente Verfahren, Springer Vieweg (2017).

2016

  • J. Wiederer, L. Leitner, C. Endisch und H. Reiß, Fast Crank-Angle Based 0D Simulation of Combustion Engine Cold Tests including Manufacturing Faults and Production Spread, SAE International Journal of Passenger Cars - Mechanical Systems 9(1) (2016) 321–335. https://doi.org/10.4271/2016-01-1374.
  • R. Jardan, P. Stumpf, Z. Varga, C. Endisch, P. Sipos und M. Simon, Laboratory System for Measurement of Iron Losses in High Speed Drives, Elsevier International Journal of Hydrogen Energy 41(29) (2016). https://doi.org/10.1016/j.ijhydene.2016.01.061.
    (Basis for the research project: German patent DE102012018209 A1).

2014

  • P. Stolze, P. Karamanakos, R. Kennel, S. Manias und C. Endisch, Effective Variable Switching Point Predictive Current Control for AC Low-Voltage Drives, International Journal of Control 88(7) (2014) 1366-1378. https://doi.org/10.1080/00207179.2014.942699.
     

Articles in Conference Publications

2022

  • 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. Kohler, D. Fendt and C. Endisch, Modeling Geometric Wire Bending Behavior in Needle Winding Processes Using Circular Arcs with Tangential Linear Functions, 2022 IEEE Transportation Electrification Conference & Expo (ITEC) (2022), 894-901, doi: 10.1109/ITEC53557.2022.9814041.
  • M. Kohler, M. Gerngroß and C. Endisch, A Test Bench Concept and Method for Image-Based Modeling of Geometric Wire Bending Behavior in Needle Winding Processes, 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) (2022), 1113-1120, doi: 10.1109/ISIE51582.2022.9831494.
  • D. Schneider, B. Liebhart, C. Endisch und R. Kennel, Enhanced State and Parameter Estimation within Reconfigurable Battery Systems for Electric Vehicles, 2022 12th International Conference on Power, Energy and Electrical Engineering (CPEEE), Shiga, Japan (2022), 71-77, doi: 10.1109/CPEEE54404.2022.9738700.
  • 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.

2021

  • M. Schmid, B. Liebhart, J. Kleiner, C. Endisch und R. Kennel, Online Detection of Soft Internal Short Circuits in Lithium-Ion Battery Packs by Data-Driven Cell Voltage Monitoring, 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia), Singapore, Singapore (2021) 1711–1718. doi: 10.1109/ECCE-Asia49820.2021.9479175.
  • 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.
  • J. Kleiner, A. Heider, L. Komsiyska, G. Elger, C. Endisch, Experimental Study on the Thermal Interactions in Novel Intelligent Lithium-Ion Modules for Electric Vehicles, ITHERM 2021 20th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (2021) 556-562. doi: 10.1109/ITherm51669.2021.9503299.
  • 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.
  • D. Schneider, B. Liebhart and C. Endisch, Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework, 2021 IEEE International Instrumentation and Measurement Technology Conference (I²MTC) (2021). https://doi.org/10.1109/I2MTC50364.2021.9459790.

2020

  • M. Okon, J. Opferkuch and C. Endisch, Modular Gear Transmission Model for Analyzing Production Tolerances in Electric Drivetrains, 2020 IEEE International Conference on Industrial Technology (ICIT), Buenos Aires, Argentina (2020) 709-716. doi: 10.1109/ICIT45562.2020.9067240.
  • 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.
  • M. Gerngroß, M. Kohler, C. Endisch und R. Kennel, Model-Based Control of Nonlinear Wire Tension in Dynamic Needle Winding Processes, 2020 IEEE International Conference on Industrial Technology (ICIT) (2020). https://doi.org/10.1109/ICIT45562.2020.9067168.
  • D. Schneider und 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). https://doi.org/10.1109/CCTA41146.2020.9206336.
  • C. Terbrack, J. Stöttner and C. Endisch, Operation of an Externally Excited Synchronous Machine with a Hybrid Multilevel Inverter, 2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe), Lyon, France (2020) 1-12. https://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215895.
  • J. Kleiner, A. Heider, C. Hanzl, L. Komsiyska, G. Elger and C. Endisch, Thermal Behavior of an Intelligent Li-Ion Cell under Vehicle Conditions, IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore (2020) 2081-2086. doi: 10.1109/IECON43393.2020.9254336.

2019

  • J. Kleiner, L. Komsiyska, G. Elger and C. Endisch, Modelling of 3D Temperature Behavior of Prismatic Lithium-Ion Cell With Focus on Experimental Validation Under Battery Electric Vehicle Conditions, IEEE 2019 25th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC), Lecco, Italy (2019) 25-27. https://doi.org/10.1109/THERMINIC.2019.8923604.
  • M. Okon and C. Endisch, On Air-Gap Approximations for Slotted Electrical Machine Models Assuming Radial Magnetic Fields, 2019 IEEE International Conference on Industrial Technology (ICIT), Melbourne, Australia (2019) 292-297. doi: 10.1109/ICIT.2019.8755196.
  • P. Herrmann, M. Gerngroß and C. Endisch, Benefits of Numerical Optimization and CAD/CAM in Needle Winding Processes, 2019 IEEE International Conference on Mechatronics (ICM) (2019) 301-307, doi: 10.1109/ICMECH.2019.8722940.
  • S. Mayer, C. Arnet, D. Gankin and C. Endisch, Standardized Framework for Evaluating Centralized and Decentralized Control Systems in Modular Assembly Systems, 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bari, Italy, IEEE, 06.10.2019 - 09.10.2019. https://doi.org/10.1109/SMC.2019.8914314.
  • S. Mayer, D. Gankin, C. Arnet and C. Endisch, Adaptive Production Control with Negotiating Agents in Modular Assembly Systems, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, IEEE, 06.10.2019 - 09.10.2019, 19193561. https://doi.org/10.1109/SMC.2019.8914498.
  • S. Mayer, N. Hoehme, D. Gankin and C. Endisch, Adaptive Production Control in a Modular Assembly System – Towards an Agent-based Approach, 2019 IEEE International Conference on Industrial Informatics (INDIN), Helsinki, Finland, IEEE, 22.07.2019 - 25.07.2019. https://doi.org/10.1109/INDIN41052.2019.8972152.
  • M. Gerngroß, P. Herrmann, C. Westermaier and C. Endisch, Optimization of the End Winding Patterns in Needle Wound Traction Stators, 2019 IEEE International Conference on Mechatronics 2019 (ICM2019), Ilmenau, 18.-20.03.2019. https://doi.org/10.1109/ICMECH.2019.8722897.
  • S. Mayer and C. Endisch, Adaptive Production Control in a Modular Assembly System Based on Partial Look-Ahead Scheduling, 2019 IEEE International Conference on Mechatronics (ICM), Ilmenau, Germany, IEEE, 18.03.2019 - 20.03.2019, 293–300. https://doi.org/10.1109/ICMECH.2019.8722904.
  • M. Gerngroß, P. Herrmann and C. Endisch, Nonlinear Modelling of Dynamic Wire Tension for Needle Winding Processes of Distributed Windings, 2019 IEEE International Conference on Industrial Technology 2019 (ICIT2019), Melbourne, 13.-15.02.2019. https://doi.org/10.1109/ICIT.2019.8755052.

2018

  • J. Ziegmann, F. Denk, U. Vögele und C. Endisch, Stochastic Driver Velocity Prediction with Environmental Features on Naturalistic Driving Data, 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI (2018) 1807-1814. https://doi.org/10.1109/ITSC.2018.8569767.
  • P. Herrmann, M. Gerngroß und C. Endisch, NURBS based trajectory generation for an industrial five axis needle winding robot, 2018 4th International Conference on Control, Automation and Robotics (ICCAR), Auckland (2018) 31-36. https://doi.org/10.1109/ICCAR.2018.8384640.
  • L. Leitner und C. Endisch, Robust Stochastic Process Models and Parameter Estimation for Industrial End-of-Line-Testing, 2018 IEEE International Conference on Industrial Technology (ICIT), Lyon (2018). https://doi.org/10.1109/ICIT.2018.8352406.
  • L. Leitner und C. Endisch, Skewed and heavy-tailed hidden random walk models with applications in automated production testing, 2018 IEEE International Conference on Intelligent Engineering Systems (INES), Las Palmas de Gran Canaria (2018) 281-286. https://doi.org/10.1109/INES.2018.8523927.
  • J. Ziegmann, M. Schmid and C. Endisch, Sensitivity Analysis for Driver Energy Prediction with Environmental Features and Naturalistic Data, 2018 IEEE International Conference on Intelligent Engineering Systems (INES), Las Palmas de Gran Canaria (2018) 199-206. https://doi.org/10.1109/INES.2018.8523987.
  • P. Herrmann, M. Gerngroß und C. Endisch, Numerical Optimization in Planning of Flexible Needle Winding Trajectories, 2018 IEEE International Conference on Intelligent Engineering Systems (INES), Las Palmas de Gran Canaria (2018) 255-260. https://doi.org/10.1109/INES.2018.8523924.

2017

  • S. Altmannshofer, C. Endisch und K. D. Trieu, On-Line Identification and Identifiability Analysis of Electrical and Mechanical Parameters of Induction Machines, 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), München (2017). https://doi.org/10.1109/AIM.2017.8014079.
  • T. Müller und C. Endisch, An Estimation Based Iterative Learning Control Approach for Cross-Coupled Vehicle Test Systems, 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), München (2017). https://doi.org/10.1109/AIM.2017.8014210.
  • J. Ziegmann, C. Endisch, J. Shi und T. Schnörer, Analysis of Individual Driver Velocity Prediction Using Data-Driven Driver Models with Environmental Features, 2017 IEEE Intelligent Vehicles Symposium, Redondo Beach (2017). https://doi.org/10.1109/IVS.2017.7995770.
  • U. Vögele, J. Ziegmann und C. Endisch, Driver Adaptive Predictive Velocity Control, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) (2017). https://doi.org/10.1109/ITSC.2017.8317668.
  • P. Herrmann, M. Gerngroß, C. Endisch, P. Stenzel und P. Uhlmann, Automated contacting technology for needle winding applications with distributed windings, 2017 7th International Electric Drives Production Conference (EDPC), Würzburg (2017) 1-8. https://doi.org/10.1109/EDPC.2017.8328169.
  • M. Gerngroß, P. Herrmann, C.  Westermaier und C. Endisch, Highly flexible needle winding kinematics for traction stators based on a standard industrial robot, 2017 7th International Electric Drives Production Conference (EDPC), Würzburg (2017) 1-7. https://doi.org/10.1109/EDPC.2017.8328147.

2016

  • P. Herrmann, P. Stenzel, U. Vögele und C. Endisch, Optimization Algorithms for Maximizing the Slot Filling Factor of Technically Feasible Slot Geometries and Winding Layouts, 2016 6th International Electric Drives Production Conference and Exhibition (EDPC) (2016). https://doi.org/10.1109/EDPC.2016.7851327.
  • T. Müller und C. Endisch, Compensation techniques for iterative rig control in multi-axial durability testing, 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA) (2016). https://doi.org/10.1109/ETFA.2016.7733517.
  • L. Leitner, A. Lagrange und C. Endisch, End-of-line fault detection for combustion engines using one-class classification, 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) (2016) 207-213. https://doi.org/10.1109/AIM.2016.7576768.
  • T. Müller, U. Vögele und C. Endisch, Disturbance compensation for iterative control of suspension durability test rigs, 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM) (2016). https://doi.org/10.1109/AIM.2016.7577011.
  • U. Vögele und C. Endisch, Predictive Vehicle Velocity Control using Dynamic Traffic Information, SAE 2016 World Congress and Exhibition, Detroit, Michigan (2016). https://doi.org/10.4271/2016-01-0121.
  • T. Müller, J. Ziegmann, S. Krüner und C. Endisch, Optimization of inverse model identification for multi-axial test rig control, The 3rd International conference on Control, Mechatronics and Automation (ICCMA), vol. 42 (2016) 01002. https://doi.org/10.1051/matecconf/20164201002.
  • S. Altmannshofer, C. Endisch, J. Martin, M. Gerngroß und R. Limbacher, Robust Estimation of Vehicle Longitudinal Dynamics Parameters, 2016 IEEE Intelligent Vehicles Symposium, Göteborg (2016). https://doi.org/10.1109/IVS.2016.7535443.
  • S. Altmannshofer und C. Endisch, Robust Vehicle Mass and Driving Resistance Estimation, 2016 American Control Conference, Boston, MA (2016). https://doi.org/10.1109/ACC.2016.7526754.

2015

  • S. Altmannshofer, J. Martin und C. Endisch, Robuste, onlinefähige Schätzung von Fahrzeugmasse und Fahrwiderständen, in VDI-Berichte, VDI-Verlag, vol. 2233 (2015) 29–36.
  • U. Vögele und C. Endisch, Potential analysis of predictive optimal velocity control for electric and conventional vehicles, 2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES), Yokohama, Japan (2015) 196–201. https://doi.org/10.1109/ICVES.2015.7396917.
  • J. Martin, U. Vögele und C. Endisch, Effects of errors in position- and navigation data on predictive vehicle operational strategy optimization, 2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES), Yokohama, Japan (2015) 190–195. https://doi.org/10.1109/ICVES.2015.7396916.
  • R. Jardan, Z. Varga, P. Stumpf, I. Nagy, C. Endisch, P. Sipos und M. Simon, Laboratory System for Measurement of Iron Losses in High Speed PMSM, The 3rd European Conference on Renewable Energy Systems (ECRES), Antalya, Turkey (2015) 1-6. https://doi.org/10.1016/j.ijhydene.2016.01.061.
    (Basis for the research project: German patent DE102012018209 A1).
  • P. Stenzel, J. Richnow, J. Franke und C. Endisch, Impact of the needle winding technology on the operational behavior of an asynchronous machine, 2015 IEEE Conference Publication, 5th International Conference of Electric Drives Production (EDPC), Nuremberg (2015) 1-8. https://doi.org/10.1109/EDPC.2015.7323193.
  • R. Jardan, Z. Varga, P. Stumpf, I. Nagy, C. Endisch, P. Sipos und M. Simon, Development of a Dedicated Laboratory System for Measurement of Iron Losses in High Speed PMSM, 2015 IEEE Conference Publication, International Conference on Industrial Technology (IEEE ICIT), Seville, Spain (2015) 708-713. https://doi.org/10.1109/ICIT.2015.7125181.
    (Basis for the research project: German patent DE102012018209 A1)
  • P. Stenzel, P. Dollinger, J. Richnow, T. Bader, J. Franke und C. Endisch, Experimental Investigations of the Needle Winding Technology Regarding the Influence of the Wire Guide Geometry on the Tensile Wire Force, 2015 IEEE Conference Publication, International Conference on Industrial Technology (IEEE ICIT), Seville, Spain (2015) 2642-2649. https://doi.org/10.1109/ICIT.2015.7125487.

2014

  • P. Stenzel, P. Dollinger, D. Mihajlovic, J. Richnow, J. Franke und C. Endisch, Needle Winding for Distributed Round-Wire-Windings without the Use of Insulation Disks, 2014 IEEE Conference Publication, 4th International Conference of Electric Drives Production (EDPC), Nuremberg (2014) 1-7. https://doi.org/10.1109/EDPC.2014.6984387.
  • J. Richnow, P. Stenzel, A. Renner, D. Gerling und C. Endisch, Influence of Different Impregnation Methods and Resins on Thermal Behavior and Lifetime of Electrical Stators, 2014 IEEE Conference Publication, 4th International Conference of Electric Drives Production (EDPC), Nuremberg (2014) 1-7. https://doi.org/10.1109/EDPC.2014.6984406.
     

Completed PhD procedures

2021

  • Dr.-Ing. Jan Kleiner, Experimental investigation and modeling of the thermal behavior of intelligent battery cells and modules under electric vehicle conditions. 10.14279/depositonce-12539.
  • Dr.-Ing. Martin Gerngroß, Einsatz lernfähiger Systeme zur Modellbildung und Regelung von Nadelwickelprozessen. ISBN: 978-3-8440-8429-0.
  • Dr.-Ing. Patrick Herrmann, Automatisierte Trajektorienplanung für die Nadelwickeltechnik. http://mediatum.ub.tum.de/?id=1574228.

2020

  • Dr.-Ing. Lukas Leitner, Lernfähige Algorithmen für die Endfunktionsprüfung am Beispiel der Fahrzeugmotorenherstellung. http://mediatum.ub.tum.de/?id=1481728.
  • Dr.-Ing. Tino Müller, Modellbasierte iterativ lernende Regelung mit geschätzten Systemgrößen für mehraxiale Festigkeitsprüfstände. http://mediatum.ub.tum.de/?id=1471913.

2019

  • Dr.-Ing. Simon Beyer, Robuste Parameterschätzung für Elektrofahrzeuge. urn:nbn:de:bvb:706-6087.

2017

  • Dr.-Ing. Peer Stenzel, Großserientaugliche Nadelwickeltechnik für verteilte Wicklungen im Anwendungsfall der E-Traktionsantriebe. https://doi.org/10.25593/978-3-87525-425-9.

2016

  • Dr.-Ing. Jan Richnow, Untersuchungen zur Optimierung der Fertigung von Drehfeldstatoren für Traktionsantriebe. ISBN: 9783844048490.
     

Patent Applications

2021

  • M. Gerngroß, M. Kohler, C. Endisch, Spule für eine elektrische Maschine, elektrische Maschine und Verfahren zur Wicklung einer Spule, DE102021101814A1, 2021.

2020

  • C. Terbrack, C. Endisch, M. Kohler, M. Hinterberger, Verfahren zum Schätzen eines jeweiligen Parameterwerts mehrerer Modellparameter eines Modells eines Geräts, sowie Batteriesystem und Kraftfahrzeug, DE102019210212A1, 2020.
  • C. Hartmann, T. Buchberger, C. Hanzl, U. Margull, M. Hinterberger, C. Endisch, Verfahren zur dynamischen Netzwerkadresskonfiguration von Kommunikationsschaltungen mehrerer Batteriezellen eines Batteriesystems eines Kraftfahrzeugs sowie Batteriesystem und Kraftfahrzeug, DE102020102175A1, 2020.
  • C. Hartmann, T. Buchberger, U. Margull, M. Hinterberger, C. Endisch, Batteriesystem mit mehreren selbstschaltend ausgestalteten Speichereinheiten sowie Kraftfahrzeug mit diesem Batteriesystem und Betriebsversfahren für das Batteriesystem, DE102020103480A1, 2020.
  • D. Schneider, C. Hanzl, M. Hinterberger, C. Endisch, Verfahren zum Ermitteln mindestens einer Zustandsgröße eines MOSFETs, DE102020106348B3, 2020.
  • M. Schmid, U. Vögele, M. Hinterberger, C. Endisch, Verfahren zum Betreiben einer Energiespeicheranordnung sowie entsprechende Energiespeicheranordnung, DE102020112437A1, 2020.
  • C. Hartmann, C. Terbrack, T. Buchberger, J. Stöttner, U. Margull, M. Hinterberger, C. Endisch, Mehrebenen-Wechselrichter zur Erzeugung einer mehrstufigen Ausgangsspannung, DE102020118242B3, 2020.
  • S. Mayer, T. Claßen, J. Schmidt, C. Endisch, Verfahren und Steuervorrichtung zur Erzeugung wenigstens eines Fahrauftrags für wenigstens ein fahrerloses Transportfahrzeug, FTF, eines modularen Montagesystems, DE102020127407A1, 2020.
  • S. Mayer, J. Schmidt, C. Endisch, Verfahren sowie Steuereinheit zum automatisierten Einlasten jeweiliger Fertigungsprozesse von Werkstücken unterschiedlicher Typen in einem gewünschten Verhältnis, DE102020124684A1, 2020.
  • S. Mayer, J. Schmidt, C. Endisch, Steuereinheit sowie Verfahren zum Steuern von Transporten einer Vielzahl an Werkstücken in einem modularen Montagesystem mittels eines genetischen Algorithmus; Montagesystem, DE102020122194A1, 2020.

2019

  • M. Schmid, C. Terbrack, M. Hinterberger, C. Endisch, Verfahren und Steuervorrichtung zum Betreiben zumindest einer Batteriezelle eines Batteriesystems eines Kraftfahrzeug, DE102019210213A1, 2019.
  • C. Terbrack, B. Liebhart, M. Hinterberger, C. Endisch, Messanordnung, Hochvoltbatterie, Kraftfahrzeug und Verfahren zum Bestimmen einer komplexen Impedanz, DE102019200510A1, US20200225291A1, CN111443298A, 2019.
  • B. Liebhart, M. Hinterberger, C. Endisch, Elektrisches Energieliefersystem mit zumindest einem Zellelement und Kraftfahrzeug, DE102019209468A1, US20200408843A1, CN112151839A, 2019.
  • B. Liebhart, T. Buchberger, M. Hinterberger, C. Endisch, Verfahren zum Ermitteln von Parameterwerten eines Modells einer elektrochemischen Zelle einer Batteriezelle in einer Batterie eines Kraftfahrzeugs sowie Steuervorrichtung und Kraftfahrzeug-Batterie, DE102019102472B4, 2019.
  • M. Schmid, B. Liebhart, D. Schneider, M. Hinterberger, C. Endisch, Verfahren zur Bestimmung zumindest eines Batterieparameters einer Batterie, entsprechend betreibbare Batterie sowie Kraftfahrzeug, DE102019201604A1, 2019.
  • B. Liebhart, U. Vögele, M. Hinterberger, C. Endisch, Verfahren zum Betreiben eines Batteriesystems in einem Kraftfahrzeug sowie entsprechend betreibbares Batteriesystem und Kraftfahrzeug, DE102019202465A1, 2019.
  • B. Liebhart, C. Terbrack, M. Hinterberger, C. Endisch, Verfahren und Steuervorrichtung zum Ermitteln zumindest eines Kennwerts eines Antriebsstrangs, der sich im eingebauten Zustand in einem elektrisch antreibbaren Kraftfahrzeug befindet, sowie Kraftfahrzeug, DE102019202464A1, US20200269855A1, CN111610441A, 2019.
  • B. Liebhart, C. Terbrack, M. Schmid, D. Schneider, M. Hinterberger, C. Endisch, Verfahren zum Betreiben eines Batteriesystems für ein Kraftfahrzeug, um eine Diagnosemessung durchzuführen, sowie Batteriesystem für ein Kraftfahrzeug und Kraftfahrzeug, DE102019211082A1, 2019.
  • C. Terbrack, B. Liebhart, M. Hinterberger, C. Endisch, Messanordnung, Kraftfahrzeug und Verfahren zum Bestimmen einer komplexen Impedanz, DE102019200506A1, 2019.
  • D. Schneider, M. Schmid, U. Vögele, M. Hinterberger, C. Endisch, Verfahren zum Bestimmen eines Werts einer physikalischen Größe einer Zellanordnung, Bestimmungseinrichtung, Hochvoltbatterie und Kraftfahrzeug, DE102019207354A1, 2019.
  • M. Schmid, D. Schneider, M. Hinterberger, C. Endisch, Verfahren zum Durchführen eines Batterietests in einer Batterie eines Kraftfahrzeugs sowie Batterie und Kraftfahrzeug, DE102019202463A1, 2019.
  • D. Schneider, J. Kleiner, M. Hinterberger, C. Endisch, Verfahren zum Bestimmen einer Temperaturverteilung entlang einer Batterie, Beobachtungsvorrichtung sowie Batterie, DE102019125237A1, 2019.
  • J. Kleiner, T. Gyulai, M. Thurmeier, M. Hinterberger, Batterie für ein Kraftfahrzeug, Kraftfahrzeug und Verfahren zum Betreiben einer Batterie, DE102019207355A1, 2019.
  • M. Schmid, U. Vögele, D. Schneider, M. Hinterberger, C. Endisch, Verfahren zum Detektieren eines Fehlers in einem Batteriesystem sowie Batteriesystem und Kraftfahrzeug, DE102019212909A1, 2019.
  • M. Schmid, U. Vögele, D. Schneider, M. Hinterberger, C. Endisch, Verfahren zum Erkennen eines Sensorausfalls in einem Batteriesystem eines Kraftfahrzeugs sowie Batteriesystem und Kraftfahrzeug, DE102019211998A1, 2019.
  • U. Vögele, L. Komsiyska, M. Lewerenz, C. Hartmann, M. Hinterberger, C. Endisch, Batteriezelle mit einer Diagnoseeinheit, Verfahren zur Zustandsdiagnose einer Batteriezelle, Batterie sowie Kraftfahrzeug mit einer Batterie, DE102019125236A1, 2019.
  • C. Terbrack, J. Stöttner, M. Hinterberger, C. Endisch, Batterie mit einem Batteriemodul und Verfahren zu deren Betrieb, DE102019130738A1, US20210151726A1, CN112793469A, 2019.
  • J. Stöttner, C. Terbrack, C. Endisch, M. Hinterberger, Verfahren zum Betrieb einer Batterie und Steuereinrichtung hierfür, DE102019130737A1, 2019.
  • C. Terbrack, J. Stöttner, M. Hinterberger, C. Endisch, Batterie mit einer Batteriezelle und Verfahren zu deren Betrieb, DE102019130739A1, US20210151727A1, CN112793472A, 2019.
  • U. Margull, C. Hartmann, M. Hinterberger, C. Endisch, U. Vögele, T. Buchberger, Verfahren zum Betreiben eines Batteriesystems, Batteriesystem sowie Zellverschaltung für ein Batteriesystem, DE102019133252A1, 2019.
  • M. Gerngroß, P. Herrmann, M. Bathe, C. Endisch, Wickelnadel, Wickelsystem für Drahtwicklungen und Verfahren zur Herstellung einer Drahtwicklung, DE102019207865A1, 2019.

2018

  • M. Gerngroß, P. Herrmann, C. Westermaier, M. Fischer, C. Endisch, Wickelnadel, Wickelvorrichtung zum Herstellen von aus Draht gebildeten Umwicklungen eines Stators, Stator für eine elektrische Maschine und Verfahren zum Herstellen eines Stators, DE102018214701A1, 2018.
  • M. Okon, H. Reiß, P. Dollinger, C. Endisch, Verfahren und Vorrichtung zum Bestimmen eines Prüfumfangs einer aus einer Mehrzahl von Komponenten zusammengesetzten Baugruppe, DE102018207230A1, 2018.

2017

  • P. Herrmann, M. Gerngroß, C. Westermaier, C. Endisch, Verfahren und Wickelmaschine zum automatisierten Herstellen einer Spulenwicklung unter Berücksichtigung des Drahtdurchmessers, DE102017006083A1, 2017.
  • L. Leitner, H. Reiß, P. Dollinger, C. Endisch, Prüfsystem zur Stückprüfung von Prüflingen und Verfahren, DPMA Publication number 102017006687A1, 2017.

2016

  • M. Gerngroß, P. Herrmann, P. Uhlmann, C. Endisch, Nadelwickelvorrichtung, DE102016014371A1, 2016.

2015

  • U. Vögele, C. Endisch, Automatische Steuerung der Längsführung von Kraftfahrzeugen, DE102015109680B4, 2015.

2014

  • C. Endisch, P. Dollinger, P. Sipos, M. Simon, Messverfahren und Vorrichtung zum Ermitteln eines Eisenverlustes in einem Blechpaket für eine elektrische Maschine, DE102012018209B4, 2014.
  • P. Stenzel, P. Dollinger and C. Endisch, Wicklungsträger, insbesondere Stator oder Rotor einer Drehstrom-Elektromaschine und Verfahren zur Herstellung der Wicklung eines Wicklungsträgers, DE102013000370B4, 2014.
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