Institute of Control Systems (IRS)
search
Institute of Control Systems (IRS)
Institute of Control Systems (IRS)IR
Startseite
Research Focuses
Alternative Energy Systems

Alternative Energy Systems

Alternative Energy Systems

Energy and Society

Sustainability is a major concern to today’s society. A central issue is how our future energy system can be based on renewable energy sources exclusively. Energy storage is gaining importance not only in this area, but also in the electric mobility sector.

For this spectrum of applications, the Alternative Energy Systems Group develops innovative methods relating to energy grids and battery systems.

Energy Grids

In the course of the energy transition in Germany and other parts of the world, conventional power plants are replaced by a large number of regenerative energy sources, in particular photovoltaics and wind power plants. These are mainly installed on the distribution grid level. The power generated on this level can only be distributed reasonably when the grid operators extend their grids. In addition, the bad predictability of renewable power generation, the high slew rate, and lacking controllability of the regenerative production capacity require a massive increase in storage capacities.

By using energy converters, such as power-to-gas units and combined heat and power plants, the electric, gas, and heat distribution grids can be coupled. In this way, the above challenges can be mastered effectively. However, control technologies still remain to be developed for the resulting multimodal distribution grids.

The Alternative Energy Systems Group, hence, conducts research along the complete design process of control systems for innovative methods in multimodal energy distribution systems.

Battery Systems

Due to the volatile character of renewable energies, intermediate storage of this energy in e.g. lithium-ion batteries is of crucial importance. Battery systems for electric energy storage also gain importance in electric mobility and entertainment electronics, the objective being to meet increasing demands in terms of range and availability.

To ensure safe and effective operation of battery systems, battery management systems (BMS) are applied. Frequently, they are based on imprecise heuristic methods, such as counting procedures to estimate the battery state. The IRS designs model-based methods for the automatic identification of the physical state of the battery during operation. When interconnecting a large number of cells, conventional BMS based on central architectures quickly reach their limits. For an efficient use of battery systems, IRS therefore studies new decentralized and distributed approaches to battery monitoring and control.

Staff

Lukas Kölsch

Research Associate

Research Interest:
Stability and Resilience

Pol Jané Soneira

Research Associate

Research Interest:
 

Jona Maurer

Research Associate

Research Interest:
Distributed Control

Martin Pfeifer

Research Associate

Research Interest:
State Estimation

Albertus Malan

Research Associate

Research Interest:

Oliver Stark

Research Associate

Research Interest:
Parameter Identification

Felix Strehle

Research Associate

Research Interest:
System Design
 

    

Student Assistants

Nicolai Tschuch

Implementierung eines MPC für gekoppelte Strom- und Wärmenetze

 

 

 

Silja Viola Pfeiffer

Automatisierte Herleitung Port-Hamiltonscher Modelle aus Bond-Graphen

Charles Muller

Automatisierte Herleitung Port-Hamiltonscher Modelle aus Bond-Graphen

 

 

 

Tobias Herkner

Mitarbeit an einem Forschungsprojekt

 

 

 

Recent job offers for student assistants can be found here.

Bachelor- and Master Students

Lena Zellmann

Bachelor Thesis

Konzeptionierung und Implementierung einer Simulationsumgebung für gekoppelte Energiezellen

Simon Idelhauser

Master Thesis

Entwurf einer verteilten marktbasierten modellprädiktiven Regelung für gekoppelte Strom- und Wärmenetze

Yijie Qian

Bachelor Thesis

Anwendung von schwarmbasierten Ansätzen in der Stromnetzregelung

Katharina Wieninger

Master Thesis

Verteilte Regelung von Energiezellen mittels Feedback Optimization

Syrine Khammari

Bachelor Thesis

Automatisierter Reglerentwurf für Bond-Graphen

Nicolai Tschuch

Bachelor Thesis

Implementierung eines marktbasierten
modellprädiktiven Reglers für ein
gekoppeltes Strom- und Wärmenetz

Nils Horneff

Bachelor Thesis

Implementierung und Validierung von Port-Hamiltonischen Wärmenetzmodellen

Oliver Ratzel

Bachelor Thesis

Modellierung des dynamischen
Temperaturtransports in Wärmenetzen

Rishabh Vyas

Bachelor Thesis

Implementierung und systematischer Vergleich von dynamischen Reglern für Energiezellen

Tianqi Yu

Master Thesis

Analysis of Game-Theoretic Equilibria in Cellular Energy Networks

Jochen Illerhaus

Bachelor Thesis

Entwurf eines modellbasierten prädiktiven Reglers zur optimalen Betriebsführung von Wärmenetzen der 4. Generation

Michael Nguyen

Bachelor Thesis

Passivitätsbasierte PID-Regler für die Plug-and-Play Regelung von Microgrids

Maximilian Nohr

Master Thesis

Erweiterung von Parameterschätzverfahren im Zeitbereich für Batteriemodelle mittels robuster Filterung und der IV-Methode

Sebastian Eberhard

Master Thesis

Systematischer Vergleich optimierungsbasierter Verfahren zur Parameteridentifikation

Silja Hampel

Master Thesis

Kooperation von Energiezellen hinsichtlich Regionalisierung

Lorenz Fehn

Bachelor Thesis

Verteilte modellprädiktive Regelung eines realen Energienetzes

Publications


2020
Bias-free Parameter Identification for Non-Commensurable Fractional Systems.
Stark, O.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2020. 2020 European Control Conference (ECC), 1422–1429, EUCA
Dynamic Set-Inversion Procedure to Design Interval-Based State Estimators for Discrete-Time LPV Systems.
Krebs, S.; Meslem, N.; Hohmann, S.
2020. 58th IEEE Conference on Decision and Control (CDC 2019), Nice, F, December 11-13, 2019, 3190–3195, IEEE, Piscataway (NJ). doi:10.1109/CDC40024.2019.9029661
Interval Input-State-Output Estimation for Linear Port-Hamiltonian Systems with Application to Power Distribution Systems.
Pfeifer, M.; Krebs, S.; Hofmann, F.; Kupper, M.; Hohmann, S.
2020. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019, 3176–3183, IEEE, Piscataway (NJ). doi:10.1109/CDC40024.2019.9029590
Computation of Orders of a Commensurable Fractional Order Model.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2020. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019, 784–790, IEEE, Piscataway (NJ). doi:10.1109/CDC40024.2019.9029742
2019
Bias-free Parameter Identification of a Fractional Order Model.
Stark, O.; Malan, A. J.; Krebs, S.; Hohmann, S.
2019. doi:10.5445/IR/1000117548
Steady-State Optimal Frequency Control for Lossy Power Grids with Distributed Communication.
Kölsch, L.; Bhatt, K.; Krebs, S.; Hohmann, S.
2019. IEEE International Conference on Electrical, Control and Instrumentation Engineering (ICECIE). Proceedings, 1–8, IEEE. doi:10.1109/ICECIE47765.2019.8974715
A Port-Hamiltonian Approach to Plug-And-Play Voltage and Frequency Control in Islanded Inverter-Based AC Microgrids.
Strehle, F.; Malan, A. J.; Krebs, S.; Hohmann, S.
2019. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019
Automated Generation of Explicit Port-Hamiltonian Models from Multi-Bond Graphs.
Pfeifer, M.; Caspart, S.; Pfeiffer, S.; Muller, C.; Krebs, S.; Hohmann, S.
2019. doi:10.5445/IR/1000104388
AMOTO: Automatic MOdeling TOol for the Port-Hamiltonian Formulation of Bond Graphs.
Pfeiffer, S.; Muller, C.; Pfeifer, M.; Caspart, S.; Krebs, S.; Hohmann, S.
2019. VDI/VDE GMA-Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“. Tagung (2019), Anif, Austria, September 25–27, 2019
Explicit Port-Hamiltonian Formulation of Bond Graphs.
Pfeifer, M.; Pfeiffer, S.; Caspart, S.; Muller, C.; Krebs, S.; Hohmann, S.
2019. GMA-Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“, Anif, A, 25.-27. September 2019, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, Düsseldorf
Unknown input kalman filtering for linear discrete-time fractional order systems with direct feedthrough.
Kupper, M.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. 2019 18th European Control Conference (ECC), Napoli, Italy, June 25-28, 2019, 1848–1853, IEEE. doi:10.23919/ECC.2019.8795817
Verteilte Zustandsschätzung fraktionaler Systeme und ihre Anwendung auf Lithium-Ionen-Batteriesysteme. PhD dissertation.
Kupper, M.
2019. KIT Scientific Publishing, Karlsruhe. doi:1000097127
Modellierung und zentrale prädiktive Regelung von multimodalen Energieverteilnetzen. PhD dissertation.
Sauter, P. S.
2019. KIT Scientific Publishing, Karlsruhe. doi:10.5445/KSP/1000097501
Verteilte Zustandsschätzung fraktionaler Systeme und ihre Anwendung auf Lithium-Ionen-Batteriesysteme. PhD dissertation.
Kupper, M.
2019. Karlsruhe. doi:10.5445/IR/1000097127
Modellierung und zentrale prädiktive Regelung von multimodalen Energieverteilnetzen. PhD dissertation.
Sauter, P. S.
2019. Karlsruhe. doi:10.5445/IR/1000096626
Current and State of Charge Estimation of Lithium-Ion Battery Packs Using Distributed Fractional Extended Kalman Filters.
Kupper, M.; Creutz, A.; Stark, O.; Krebs, S.; Hohmann, S.
2019. IEEE CCTA 2019, 462–469, IEEE, Piscataway (NJ). doi:10.1109/CCTA.2019.8920558
Unknown Input Kalman Filtering for Linear Discrete-Time Fractional Order Systems With Direct Feedthrough [in press].
Kupper, M.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. European Control Conference (ECC), Naples, Italy, 25–28 June 2019, IEEE, Piscataway (NJ)
An Extension of the Modulating Function Method for Online Parameter Identification of Initialized Fractional Order Models.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2019. 2019 International Conference on Fractional Calculus Theory and Applications (ICFCTA 2019), Bourges, F, April 25-26, 2019
Passivity-Based Plug-and-Play Voltage and Frequency Control in Islanded Inverter-Based AC Microgrids.
Strehle, F.; Malan, A. J.; Krebs, S.; Hohmann Sören.
2019. 58th IEEE Conference on Decision and Control, Nice, F, December 11-13, 2019, 4648–4655, IEEE, Piscataway (NJ). doi:10.1109/CDC40024.2019.9029272
Automatic Determining of a Modulating Function.
Stark, O.; Eckert, M.; Krebs, S.; Hohmann, S.
2019. KIT, Karlsruhe. doi:10.5445/IR/1000092062
Interval Set-Membership State Estimator for Discrete-Time LPV Systems.
Krebs, S.; Hohmann, S.
2019. KIT, Karlsruhe. doi:10.5445/IR/1000091545
A Scalable Port-Hamiltonian Approach to Plug-and-Play Voltage Stabilization in DC Microgrids [submitted].
Strehle, F.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. IFAC-PapersOnLine [submitted]
Solution of Time-Variant Fractional Differential Equations With a Generalized Peano–Baker Series.
Eckert, M.; Nagatou, K.; Rey, F.; Stark, O.; Hohmann, S.
2019. IEEE Control Systems Letters, 3 (1), 79–84. doi:10.1109/LCSYS.2018.2852600
Controllability and Energy-Optimal Control of Time-Variant Fractional Systems.
Eckert, M.; Nagatou, K.; Rey, F.; Stark, O.; Hohmann, S.
2019. 57th IEEE Conference on Decision and Control (CDC 2018), Miami, FL, December 17-19, 2018, 4607–4612, IEEE, Piscataway (NJ). doi:10.1109/CDC.2018.8619785
Online Parameter Identification of a Fractional Order Model.
Stark, O.; Kupper, M.; Krebs, S.; Hohmann, S.
2019. 57th IEEE Conference on Decision and Control (CDC 2018), Miami, FL, December 17-19, 2018, 2303–2309, IEEE, Piscataway, NJ. doi:10.1109/CDC.2018.8619723
2018
Load Forecasting in Distribution Grids with High Renewable Energy Penetration for Predictive Energy Management Systems.
Sauter, P. S.; Karg, P.; Kluwe, M.; Hohmann, S.
2018. 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018; Sarajevo; Bosnia and Herzegovina; 21 October 2018 through 25 October 2018, Art. Nr.: 8571524, IEEE, Picataway (NJ). doi:10.1109/ISGTEurope.2018.8571524
Simulation Framework for Multi-Carrier Energy Systems with Power-to-Gas and Combined Heat and Power.
Ruf, J.; Zimmerlin, M.; Sauter, P. S.; Koppel, W.; Suriyah, M. R.; Kluwe, M.; Hohmann, S.; Leibfried, T.; Kolb, T.
2018. 53rd International Universities Power Engineering Conference, UPEC 2018; Glasgow Caledonian University (GCU)Cowcaddens RoadGlasgow; United Kingdom; 4 September 2018 through 7 September 2018, Art. Nr.: 8542066, IEEE, Piscataway (NJ). doi:10.1109/UPEC.2018.8542066
Weighted Least Squares State Estimation for Coupled Power and Gas Distribution Networks.
Pfeifer, M.; Zimmerlin, M.; Schwarzendorfer, M.; Sauter, P.; Krebs, S.; Leibfried, T.; Hohmann, S.
2018. 53rd International Universities Power Engineering Conference, Glasgow, Scotland, 4th-7th September 2018, IEEE, Piscataway, NJ. doi:10.1109/UPEC.2018.8542013
Intervallbeobachter für lineare parametervariante Systeme und deren Anwendung auf die Asynchronmaschine. PhD dissertation.
Krebs, S.
2018. KIT Scientific Publishing, Karlsruhe. doi:10.5445/KSP/1000086503
Verteilte Zustandsschätzung für fraktionale Systeme am Beispiel von Lithium-Ionen-Batterien.
Kupper, M.; Hohmann, S.
2018. GMA-Fachausschuss 1.40, Systemtheorie und Regelungstechnik, Anif / Salzburg, 17. - 19. September 2018
Combined Optimization of District Heating and Electric Power Networks.
Maurer, J.; Elsner, C.; Krebs, S.; Hohmann, S.
2018. Energy procedia, 149, 509–518. doi:10.1016/j.egypro.2018.08.215
Intervallbeobachter für lineare parametervariante Systeme und deren Anwendung auf die Asynchronmaschine. PhD dissertation.
Krebs, S.
2018. KIT, Karlsruhe. doi:10.5445/IR/1000085805
Fractional Extended and Unscented Kalman Filtering for State of Charge Estimation of Lithium-Ion Batteries.
Kupper, M.; Funk, C.; Eckert, M.; Hohmann, S.
2018. 2018 Annual American Control Conference (ACC), Milwaukee, WI, USA, 27–29 June 2018, 3855–3862, IEEE, Picataway (NJ). doi:10.23919/ACC.2018.8430859
Cascaded Fractional Kalman Filtering for State and Current Estimation of Large-Scale Lithium-Ion Battery Packs.
Kupper, M.; Brenneisen, J.; Stark, O.; Krebs, S.; Hohmann, S.
2018. 2018 Chinese Control And Decision Conference (CCDC), 5071–5078, IEEE, Piscataway, NJ. doi:10.1109/CCDC.2018.8408010
Full- and Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator.
Hackl, C.; Jané-Soneira, P.; Pfeifer, M.; Schechner, K.; Hohmann, S.
2018. Energies, 11 (7), 1809. doi:10.3390/en11071809
Interval MRAC with Proven Stability Properties and Application on Induction Motor Control.
Müller, J.; Krebs, S.; Buchholz, M.; Hohmann, S.
2018. The 14th IEEE International Conference on Control and Automation (IEEE ICCA Alaska 2018), Anchorage, AK, June 12-15, 2018, 173–179, IEEE, Piscataway, NJ. doi:10.1109/ICCA.2018.8444328
Coupled boundary interval observer for LPV systems subject to uncertainties in input, output and parameters.
Krebs, S.; Bächle, M.; Hohmann, S.
2018. Automatica, 95, 426–432. doi:10.1016/j.automatica.2018.06.012
Towards Port-Hamiltonian Modeling of Multi-Carrier Energy Systems: A Case Study for a Coupled Electricity and Gas Distribution System.
Strehle, F.; Pfeifer, M.; Kölsch, L.; Degünther, C.; Ruf, J.; Andresen, L.; Hohmann, S.
2018. IFAC-PapersOnLine, 51 (2), 463–468. doi:10.1016/j.ifacol.2018.03.078
2017
Graph-theoretic Model for Observability in Multi-carrier Energy Distribution Networks (MEDNs).
Hohmann, S.; Maaß, H.; Mieth, C.; Pfeifer, M.; Wagner, D.; Wegner, F.
2017, September 11. 3rd Scientific Storage and Cross-linked Infrastructures - Meeting (SCI 2017), Karlsruhe, Germany, September 11–12, 2017
Electric Thermal Storage System Impact on Northern Communities’ Microgrids ].
Sauter, P. S.; Solanki, B. V.; Canizares, C. A.; Bhattacharya, K.; Hohmann, S.
2017. IEEE transactions on smart grid, 10 (1), 852–863. doi:10.1109/TSG.2017.2754239
Neural Network-based Load Forecasting in Distribution Grids for Predictive Energy Management Systems.
Sauter, P.; Karg, P.; Pfeifer, M.; Kluwe, M.; Zimmerlin, M.; Leibfried, T.; Hohmann, S.
2017. Die Energiewende : Blueprints for the New Energy Age, Proceedings of the International ETG Congress 2017, World Conference Center, Bonn, 28th - 29th November 2017, 13–18, VDE Verlag GmbH, Berlin
Poster abstract: graph-theoretic model for observability in multi-carrier energy distribution networks.
Hohmann, S.; Maaß, H.; Mieth, C.; Pfeifer, M.; Wagner, D.; Wegner, F.
2017. Computer science - research and development, 33 (1-2), 237–239. doi:10.1007/s00450-017-0366-3
Energy Storage in Microgrids: Compensating for Generation and Demand Fluctuations While Providing Ancillary Services.
Farrokhabadi, M.; Solanki, B. V.; Canizares, C. A.; Bhattacharya, K.; Koenig, S.; Sauter, P. S.; Leibfried, T.; Hohmann, S.
2017. IEEE power & energy magazine, 15 (5), 81–91. doi:10.1109/MPE.2017.2708863
Electric Thermal Storage System Impact on Northern Communities’ Microgrids.
Solanki, B. V.; Sauter, P. S.; Canizares, C. A.; Bhattacharya, K.; Hohmann, S.
2017. 2017 IEEE PES General Meeting- Student Poster Session - Chicago, IL USA, July 16-20 2017
Distributed and Decentralized Kalman Filtering for Cascaded Fractional Order Systems.
Kupper, M.; Gil, I. S.; Hohmann, S.
2017. Proceedings of the 2017 American Control Conference (ACC), Seattle, Washington, USA, 24th - 26th May 2017, 5223–5230, IEEE, Piscataway (NJ). doi:10.23919/ACC.2017.7963766
Modellbasierte Identifikation fraktionaler Systeme und ihre Anwendung auf die Lithium-Ionen-Zelle. PhD dissertation.
Eckert, M.
2017. KIT Scientific Publishing, Karlsruhe. doi:10.5445/KSP/1000071542
Comparison of the Holomorphic Embedding Load Flow Method with Established Power Flow Algorithms and a New Hybrid Approach.
Sauter, P. S.; Braun, C. A.; Kluwe, M.; Hohmann, S.
2017. 2017 Ninth Annual IEEE Green Technologies Conference (GreenTech), Denver, CO, USA, 29-31 March 2017, 203–210, IEEE, Piscataway (NJ). doi:10.1109/GreenTech.2017.36
2016
Fractional algebraic identification of the distribution of relaxation times of battery cells.
Eckert, M.; Kölsch, L.; Hohmann, S.
2016. 54th IEEE Conference on Decision and Control, CDC 2015; Osaka International Convention Center (Grand Cube)5-3-51 Nakanoshima, Kita-KuOsaka; Japan; 15 December 2015 through 18 December 2015, 2101–2108, IEEE, Piscataway (NY). doi:10.1109/CDC.2015.7402517
Distributed State Estimation of Large-Scale Fractional Order Systems.
Kupper, M.; Hohmann, S.
2016. SINO-EU Doctoral School for Sustainability Engineering, Harbin, 29.08.2016 - 02.09.2016
Optimal energy management of low level multi-carrier distribution grids.
Maurer, J.; Sauter, P. S.; Kluwe, M.; Hohmann, S.
2016. 2016 IEEE International Conference on Power System Technology (POWERCON), Wollongong, Australia, 28 September–1 October 2016, 1–6, IEEE, Piscataway, NJ. doi:10.1109/POWERCON.2016.7754071
Distributed and Decentralized State Estimation of Fractional Order Systems.
Kupper, M.; Gil, I. S.; Hohmann, S.
2016. Proceedings of the 2016 American Control Conference (ACC), Boston, Massachusetts, USA, 6th - 8th July 2016, 2765–2771, IEEE, Piscataway (NJ). doi:10.1109/ACC.2016.7525337
2015
Possible New Concepts for Robust Battery Management Systems.
Kupper, M.; Schuff, T.; Hohmann, S.
2015. 24. Aachener Kolloquium Fahrzeug- und Motorentechnik, Aachen, 5.-7.10.2015, ika, VKA, Aachen
Rule-based PI controller autotuning for drive systems.
Pfeifer, M.; Weickert, T.; Klose, S.
2015. 2015 European Control Conference (ECC 2015) : Linz, Austria, 15 - 17 July 2015, 672–677, IEEE, Piscataway, NJ. doi:10.1109/ECC.2015.7330619
Modellbasierte Identifikation fraktionaler Batterieparameter.
Eckert, M.
2015. Elektrotechnisches Kolloquium, Universität Erlangen-Nürnberg - Lehrstuhl für Regelungstechnik, 26.01.2015
2014
Fraktionale Systemidentifikation von Batteriezellen mithilfe von Modulationsfunktionen.
Eckert, M.; Kupper, M.; Hohmann, S.
2014. GMA-Fachausschuss 1.30, Workshop "Modellbildung, Identifikation und Simulation in der Automatisierungstechnik", Anif/Salzburg, 24. - 26.09.2014
Modeling and Optimal Control of Energy Distribution Grids.
Sauter, P.
2014. SINO-EU Doctoral School for Sustainability Engineering, Tongji University Shanghai, 14.-16. September
Functional Fractional Calculus for System Identification of Battery Cells.
Eckert, M.; Kupper, M.; Hohmann, S.
2014. at-Automatisierungstechnik, 62 (4), 272–281. doi:10.1515/auto-2014-1083
Functional Fractional Calculus for Identification of Time Variant Systems.
Eckert, M.; Kupper, M.; Hohmann, S.
2014. 7th International Workshop on Impedance Spectroscopy (IWIS), Chemnitz University of Technology, Germany, September 25-27, 2014
Subliminal optimal longitudinal vehicle control for energy efficient driving.
Sauter, P.; Flad, M.; Hohmann, S.
2014. Proceedings - 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), San Diego, CA, USA, October 5-8, 2014, 3001–3007, IEEE, Piscataway (NJ). doi:10.1109/SMC.2014.6974387
Fractional Identification of the State of Charge of a Li-Ion Battery Cell.
Eckert, M.
2014. Batterietagung, 24. - 26. März 2014 in Münster [6. internationalen Fachtagung "Kraftwerk Batterie - Lösungen für Automobil und Energieversorgung]
2013
Fractional Identification of the State of Charge of a Li-Ion Battery Cell.
Eckert, M.; Hohmann, S.
2013. 5. Internationales Symposium "Kraftwerk Batterie - Advanced Battery Power for Automotive and Utility Applications and their Electric Power Grid Integration", Aachen, 25. bis 27. Februar 2013
Cooperation-focused education in mechatronic engineering design projects.
Schmidt, S.; Lohmeyer, Q.; Krebs, S.; Hohmann, S.; Matthiesen, S.
2013. 15th International Conference on Engineering and Product Design Education: Design Education - Growing Our Future, EPDE 2013; Dublin; Ireland; 5 - 6 September 2013: Proceedings. Ed.: E. Bohemia, 296–301, The Design Society, Glasgow
Erschließung mechatronischer Synergiepotentiale durch kooperationsorientierte Lehre (koop-L).
Matthiesen, S.; Hohmann, S.; Schmidt, S.; Breitschuh, J.; Lohmeyer, Q.; Krebs, S.
2013. Standortvorteil Methodik : 11. Gemeinsames Kolloquium Konstruktionstechnik (KT 2013), 12. - 13. September 2013 in Aachen. Hrsg.: K. Brökel, Shaker, Aachen
2012
Fractional Identification of the State of Charge of a Li-Ion Battery Cell.
Eckert, M. S.; Xiao, C.-N.; Hohmann, S.
2012. Abstract book / 5th International Workshop on Impedance Spectroscopy (IWIS 2012), Chemnitz, September 26-28, 2012, Technische Universität Chemnitz, Chemnitz