Curriculum Vitae

Studies of electrical engineering and information technology at Karlsruhe Institute of Technology (KIT) with a specialization in automation and information. Practical work in the pre-development sector of Siemens AG in the area of sensor technology. In 2014, master’s thesis on the design of an optimal control for dynamic connection of lithium-ion energy storage systems at the Institute of Control Systems (IRS). Since December 2015, member of the scientific staff of the FZI Research Center for Information Technology of Karlsruhe Institute of Technology (KIT) in the area of embedded systems and sensors engineering (ESS).

Research

Development and investigation of approaches to decentralized onboard power management

The electronic architecture of modern vehicles consists of a number of control units with various tasks. Two types of tasks can be distinguished. The first is the diagnosis of the current state of the vehicle and the environment with the help of the sensor and status signals available. The second type of tasks includes specific activation of the electronic and mechatronic components in the vehicle for smooth operation of all systems and, hence, safe driving operation.

Voltage stabilization of the onboard power grid is a central task of the control units. It requires close interaction of the diagnosis of voltage and the specific activation of power supply and consumers in the onboard power grid. This interaction is controlled by a central onboard power management system that uses the data of all control units in order to derive measures to stabilize the different voltage levels.

Research is aimed at developing and studying decentralized approaches to voltage stabilization in the distributed control units of the onboard power grid. The advantages of decentralized approaches are enhanced flexibility and easier maintenance of the power grid as well as the reduction of the susceptibility to failure due to redundant decentralized voltage stabilization. First, a model of the onboard power grid is generated. This model does not only consider the electronic and mechatronic consumers, but also the structure of activation by the distributed control units and communication between the control units. Then, the onboard power grid model is used to study decentralized strategies for voltage stabilization by management of energy sources and consumers in the grid. In addition, distributed energy sources in the onboard power grid and their decentralized management are studied.

Teaching

Open Theses
Title	Type
Entwicklung eines Bordnetzmanagementsystems basierend auf Methoden der kooperativen Spieltheorie	Master Thesis

Current Theses
Title	Type	Person in Charge

Publications

2023

ReACT: Reinforcement Learning for Controller Parametrization Using B-Spline Geometries
Rudolf, T.; Flögel, D.; Schürmann, T.; Süß, S.; Schwab, S.; Hohmann, S.
2023. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 3385–3391, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC53992.2023.10394648
Active balancing control for distributed battery systems based on cooperative game theory
Caspar, M.; Schürmann, T.; Anneken, M.; Hohmann, S.
2023. Journal of Energy Storage, 68, Art.-Nr.: 107585. doi:10.1016/j.est.2023.107585
Game-Theoretic Trajectory Planning of Mobile Robots in Unstructured Intersection Scenarios
Majer, N.; Luithle, L.; Schürmann, T.; Schwab, S.; Hohmann, S.
2023. IFAC-PapersOnLine, 56 (2), 11808–11814. doi:10.1016/j.ifacol.2023.10.575

2022

Mitigating Power Peaks in Automotive Power Networks by Exploitation of Flexible Loads
Schürmann, T.; Kutter, N.; Schwab, S.; Hohmann, S.
2022. 2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT): 16–18 June 2022, Sarajevo, Bosnia and Herzegovina, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICAT54566.2022.9811195
Fuzzy Action-Masked Reinforcement Learning Behavior Planning for Highly Automated Driving
Rudolf, T.; Gao, M.; Schurmann, T.; Schwab, S.; Hohmann, S.
2022. 2022 8th International Conference on Control, Automation and Robotics (ICCAR): 8–10 April 2022, Xiamen, China, 264–270, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAR55106.2022.9782671
Data-Driven Automotive Development: Federated Reinforcement Learning for Calibration and Control
Rudolf, T.; Schürmann, T.; Skull, M.; Schwab, S.; Hohmann, S.
2022. 22. Internationales Stuttgarter Symposium : Automobil- und Motorentechnik. Bd.: 1. Hrsg.: M. Bargende, 369–384, Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-37009-1_26
Communication Scheme for a Modular Automotive Power Network Management
Schurmann, T.; Schwab, S.; Hohmann, S.
2022. 2022 26th International Conference on System Theory, Control and Computing (ICSTCC), 582–587, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICSTCC55426.2022.9931764

2021

Distributed and Modular Automotive Power Network Management Based on Auction Theory
Schurmann, T.; Rafles, A.; Schwab, S.; Hohmann, S.
2021. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2242–2249, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC52423.2021.9659250
Toward Holistic Energy Management Strategies for Fuel Cell Hybrid Electric Vehicles in Heavy-Duty Applications
Rudolf, T.; Schurmann, T.; Schwab, S.; Hohmann, S.
2021. Proceedings of the IEEE, 109 (6), 1094–1114. doi:10.1109/JPROC.2021.3055136
Application of an auction based automotive power network management
Schürmann, T.; Schwab, S.; Hohmann, S.
2021. FDIBA in the New Technological World, 29–32

2018

Model-Based Heater Control Design for Loop Heat Pipes
Gellrich, T.; Schuermann, T.; Hobus, F.; Hohmann, S.
2018. 2018 IEEE Conference on Control Technology and Applications (CCTA), Copenhagen, Denmark, 21–24 August 2018, 527–532, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA.2018.8511470