BESTVILLE
BESTVILLE aims to create a place where findings from various projects - mainly with applications in the energy topics - can be made accessible to the public. To this end, a village of tiny houses will be created that will serve as a place for experimentation. Here, innovative concepts and solutions relating to complex energy systems are to be made transparent and understandable.

Time period: 01.04.2024 - 31.03.2025
Leadership: Prof. Dr. Christof Büskens, Malin Lachmann, Torben Stührmann

Safety Control Center: Safety Control Center for a Galileo-based traffic scenario for autonomous shuttle buses
The project "Safety Control Center" is a collaborative project between partners from industry and academia on autonomously driving shuttle buses in Bremen. The goal is to connect an autonomously driving shuttle bus to a control center and to monitor the vehicle's status.

Time period: 02.01.2023 - 30.06.2025
Leadership: Prof. Dr. Christof Büskens, Dr. Margareta Runge

hyBit: Hydrogen for Bremen's industrial transformation
Hydrogen is considered to be the “energy source of tomorrow”, and the perceptible consequences of climate change and politics make its rapid introduction indispensable. But the path to an efficient hydrogen economy is complex, poses economic and societal challenges, and requires excellent research. The hyBit large-scale hydrogen research project coordinated by the University of Bremen is now receiving almost 30 million euros in funding from the Federal Ministry of Education and Research (BMBF). From ZeTeM the working groups Optimization and Optimal Control and Discrete Optimization are part of the project.

Time period: 01.09.2022 - 28.02.2026
Leadership: Torben Stührmann

iMarEx: Intelligente Maritime Exploration
A major problem for the preservation of the oceans is pollution due to oil and gas leaks. The spread of pollution can nowadays be measured with satellites, but it is still necessary to be able to intervene on site with water vehicles. In iMarEx, different watercrafts are equipped with scientific and navigation sensors as well as control hardware and used as a platform for the development of software for autonomous detection of the spread and source of such spills. One focus is on the development of dynamic models of the watercraft and algorithms for autonomous decision making, trajectory planning and control.

Time period: 01.09.2022 - 31.08.2025
Leadership: Prof. Dr. Christof Büskens

MUTIG-VORAN - Multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applications
The aim of the project is to automate recurring journeys in known and geographically limited areas and, in particular, to develop transferable algorithms for autonomous driving. To this end, the cooperation partners are researching and developing new solutions with cloud connection, which are to be tested experimentally in multiple test areas.

Time period: 01.01.2022 - 30.06.2025
Leadership: Prof. Dr. Christof Büskens, Dr. Margareta Runge

FAST-CAST 2 - AI-based evaluation of earth observation data and weather model forecasts to generate optimal ship routes in polar waters
The "FAST-CAST 2" project helps to suggest optimised ship routes through ice-covered areas from satellite-based earth observation and weather forecasts.

Time period: 01.11.2021 - 30.04.2025
Leadership: Prof. Dr. Christof Büskens

StartNOW- AI algorithms for autonomous lawn movers

Time period: 01.08.2021 - 31.05.2022
Leadership: Prof. Dr. Christof Büskens, Dr. Margareta Runge

SmartFarm2
The overarching goal of SmartFarm2 is to demonstrate the potential of self-consumption optimisation using real objects in order to create incentives to install or continue to operate RE systems even after the guaranteed EEG compensation expires. Since highly automated systems from the field of AI are to be developed for self-consumption optimisation, the aim is to equip a test field with 101 real demonstrators with hardware so that, on the one hand, data-driven models can be created using the recorded information and, on the other hand, the degree of automation can be directly validated using real applications.

Time period: 01.02.2021 - 31.08.2024
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Francesca Jung, Lars Kappertz

NeXaTauto - Holistic conception, field-based practical testing and validation of autonomous work processes in crop production
The Kalverkamp company, with the support of the Working Group for Optimization and Optimal Control of the Center for Technomathematics and the Osnabrück University of Applied Sciences, is developing the novel, electrically driven, multifunctional agricultural vehicle NeXaT for autonomous agriculture and the elimination of ecological and economic weak points of today's tractor combinations.

Time period: 01.09.2020 - 31.12.2024
Leadership: Prof. Dr. Christof Büskens, Maria Höffmann, Dr. Andreas Folkers, Dr. Shruti Patel

DiSCO₂-Bremen: Data-based and intelligent simulation of traffic for CO₂ reduction in Bremen
The aim of the DiSCO₂ project is to develop a digital twin of Bremen's road traffic, which can predict and improve traffic flow by intelligently switching traffic signals to reduce CO₂ emissions. Methods from the fields of Big Data and machine learning will be applied.

Time period: 01.07.2020 - 31.12.2022
Leadership: Prof. Dr. Christof Büskens

HVDC-MMC_with_MPC: A new method for reducing the power dissipation of MMC high-voltage converters using MPC
The aim of the project is to improve the efficiency of high-voltage DC transmission by using optimal control algorithms in high voltage DC inverters. The research project focuses on the development, implementation and testing of a power and real-time capable model predictive control (MPC) for the control of a modular high voltage inverter (HVDC-MMC).

Time period: 01.07.2020 - 30.06.2023
Leadership: Prof. Dr. Christof Büskens

Int2Grids - Integration of intelligent neighbourhood networks into integrated networks
The overall objective of the joint project is the integration of "neighbourhood networks" into the higher-level network management and their potential contribution to the provision of network and system services. First, a static analysis of the possibilities of neighbourhood networks for measures to provide network and system services is carried out. Based on this, the network is then interpreted as a dynamic bi-level optimization problem, whereby the interconnected network generates setpoint specifications that are to be implemented by the neighborhood networks.

Time period: 01.05.2020 - 31.12.2023
Leadership: Prof. Dr. Christof Büskens

MAP-BORealis - Assisted navigation in sea ice on Arctic passages by calculating optimal routes using satellite based remote sensing data
MAP-BORealis is concerned with the development of a route optimisation for vessels in ice-covered waters of the Arctic.

Time period: 01.07.2019 - 30.06.2021
Leadership: Prof. Dr. Christof Büskens

TOPA³S - Transfer center for the optimized, Assisted, highly Automated and Autonomous Systems
Aufbau eines Transferzentrum für Optimierte, Assistierte, hoch-Automatisierte und Autonome Systeme.

Time period: 01.06.2019 - 30.06.2021
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim

5GSatOpt
Simulationsplattform zur Konzeptionierung, Optimierung und Evaluierung
von 5G Satellitenkonstellationen für das allgegenwärtige und überall verfügbare Internet

Time period: 01.05.2019 - 31.08.2020
Leadership: Dr. Matthias Knauer

OPA³L - Optimally Assisted, Highly Automated, Autonomous and Cooperative Vehicle Navigation and Localization
The goal of the project is to automate recurring drives in known areas and in particular to present solutions for cooperative maneuvers in such areas. For this the partners are working on the implementation in an application-oriented test field.

Time period: 01.03.2019 - 14.02.2023
Leadership: Prof. Dr. Christof Büskens, Dr. Arne Berger, Dr.-Ing. Mitja Echim, Matthias Rick, Dr. Andreas Folkers

SmartDrive
Smarte IoT-Anwendungen und Service-Geschäftsmodelle in der Antriebs- und Automatisierungstechnologie

Time period: 01.11.2018 - 30.04.2020
Leadership: Prof. Dr. Christof Büskens

GALILEOnautic 2
The aim of this project is to further develop the system for automated navigation and optimised manoeuvring of networked, cooperating ships developed in the predecessor project GALILEOnautic.

Time period: 01.10.2018 - 30.09.2021
Leadership: Prof. Dr. Christof Büskens, Dr. Arne Berger, Wiebke Bergmann

Model predictive control of the live steam quantity in power plants
The project aims to improve the efficiency of a lignite-fired power plant by using adaptive modeling and model-predictive control.

Time period: 01.07.2018 - 30.04.2021
Leadership: Prof. Dr. Christof Büskens, Dr. Matthias Knauer

KaNaRiA - Kooperative künstliche Intelligenz

Time period: 01.01.2018 - 31.12.2022
Leadership: Prof. Dr. Christof Büskens

AO-Car – Autonome, optimale Fahrzeugnavigation und -steuerung im Fahrzeug-Fahrgast-Nahbereich für den städtischen Bereich
The aim of the AO-Car research project is to develop autonomous and safe driving maneuvers for (electric) cars in urban traffic. Different maneuvers, which are particularly relevant in the passenger-specific assistance area, are to be modeled and implemented and tested on a real vehicle in the best possible way.

Time period: 01.09.2016 - 31.03.2018
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim

GALILEOnautic

Time period: 01.07.2016 - 30.06.2018
Leadership: Prof. Dr. Christof Büskens

SmartFarm
The overall objective of the project is the development of tools that allow to recommend a cost-optimized design of plant components for a farm and to optimize the self-consumption, energy export and import under economic aspects for the next hours and days. A further goal is the development of methods for the economic modelling and evaluation of general constraints regarding a sustainable business model.

Time period: 01.01.2016 - 31.03.2019
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim

Enhancement of WORHP Using Parametric Sensitivity Analysis with Respect to Hessian Regularisation and Constraint Relaxation (WUPS)

Time period: 01.11.2015 - 31.12.2015
Leadership: Dr.-Ing. Mitja Echim

HERCULES-2
The aim of this international project is the further development of powerful marine engines in terms of engine reliability and the reduction of fuel consumption and pollutant emissions.

Time period: 01.05.2015 - 31.10.2018
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim

CAUSE-Cognitive Autonomous Subsurface Exploration
The search for extraterrestrial life on Saturn's moon Enceladus is the goal of the space mission Enceladus Explorer. New technologies are being developed within the EnEx initiative of DLR Space Management to make this mission possible. The cornerstone of the EnEx initiative was the joint project EnEx1. The CAUSE project builds on the experience already gained from EnEx1 and extends the existing technologies in the field of sensor fusion and autonomy.

Time period: 01.04.2015 - 30.09.2018
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim

PIA-Parameter Identification Automotive

Time period: since 01.01.2015
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim

EWOCS: Extension of WORHP to multi- and many-core Architectures

Time period: 01.11.2014 - 31.01.2015
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Dennis Wassel

Echtzeittrajektorienberechnung für automatische Ausweichmanöver

Time period: 01.10.2014 - 31.01.2016
Leadership: Prof. Dr. Christof Büskens

Fehler tolerante Low-Cost Hybridnavigationsdesigns für zukünftige Raumtransportsysteme

Time period: since 01.09.2014
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Stephan Theil

Blindleistungsregelung in Smart-Grids
The aim of this project is to be able to prevent overload situations in distribution grids in the future by automated control of the load flow. For this purpose, a physical model for the description of the power grid is required. Based on this model, an optimization of the load flow under physical constraints is carried out with the help of the optimization software WORHP.

Time period: since 01.07.2014
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim

Dynamische Identifikation temperaturbedingter Effekte der Hochdruck-Einspritzung

Time period: 01.04.2014 - 31.12.2014
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Mitja Echim

KaNaRiA - Kognitionsbasierte, autonome Navigation am Beispiel des Ressourcenabbaus im All

Time period: 01.10.2013 - 31.03.2018
Leadership: Prof. Dr. Christof Büskens

Adaption of WORHP to Avionics Constraints

Time period: 01.04.2013 - 31.01.2015
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Dennis Wassel

Onboard Trajektorienberechnung und Regelung für Wiedereintrittsraumfahrzeuge

Time period: 01.01.2013 - 31.12.2015
Leadership: Prof. Dr. Christof Büskens

TransWORHP

Time period: since 01.01.2012
Leadership: Prof. Dr. Christof Büskens, Dr. Matthias Knauer

Sensitivitätsanalyse und Numerische Methoden bei großskalierten Systemen

Time period: since 01.03.2011
Leadership: Prof. Dr. Christof Büskens, Dr.-Ing. Dennis Wassel

Model-based optimal feedback control of diesel engines gassystems

Time period: 01.01.2011 - 31.12.2013
Leadership: Prof. Dr. Christof Büskens

On-board Optimal Flight Planning using TransWORHP

Time period: since 01.10.2010
Leadership: Prof. Dr. Christof Büskens

Optimierung von Satellitenüberdeckungen unter Berücksichtigung des ellipsoiden Erdmodells
Bevor ein bestimmtes Gebiet auf der Erde mit orbitaler Sensorik beobachtet werden kann, müssen verschiedene Parameter, wie beispielsweise die Bahnelemente der Satellitenbahnen oder die Ein- und Ausschaltzeitpunkte der Sensoren, geeignet gewählt werden. Hierbei sollen diese Variablen unter Einhaltung verschiedener Restriktionen so gewählt werden, dass das von den Satelliten überstrichene Gebiet möglichst groß wird. Diese Optimierung lässt sich mit Verfahren aus der sequentiellen quadratischen Programmierung (SQP-Verfahren) durchführen.

Time period: since 01.04.2010
Leadership: Prof. Dr. Christof Büskens

Optimal Guidance and Control of Lunar Landers with Non-throttable Main Engine
Obwohl die erste bemannte Mondlandung schon über 40 Jahre zurückliegt, ist die Planung von aktuellen Missionen noch lange keine Routine. Während für frühere Mondlandungen Triebwerke verwendet wurden, deren Schubkraft variabel war, erhofft man sich durch den zukünftigen Einsatz von nicht-modulierbaren Triebwerken, sowohl die Kosten zu senken, als auch eine höhere Sicherheit gegenüber Störungen oder Ausfällen zu gewährleisten.

Time period: 01.10.2009 - 30.04.2010
Leadership: Prof. Dr. Christof Büskens

Optimierung von Dieselmotoren durch Kennfeldidentifikation

Time period: 01.07.2008 - 31.12.2014
Leadership: Prof. Dr. Christof Büskens

Erweiterung und Parameteroptimierung eines Abgastemperaturmodells

Time period: since 01.07.2008
Leadership: Prof. Dr. Christof Büskens

STAr Group Bremen

Time period: since 01.01.2008
Leadership: Prof. Dr. Christof Büskens

WORHP

Time period: since 01.01.2008
Leadership: Prof. Dr. Christof Büskens

Ein B.-Step Korrekturverfahren zur numerischen Lösung nichtlineare Optmierungsprobleme

Time period: since 01.10.2007
Leadership: Prof. Dr. Christof Büskens

Effiziente Ableitungsberechnung über Graph Colouring

Time period: since 01.09.2007
Leadership: Prof. Dr. Christof Büskens

Logistic Optimization of Time Schedules for Optical Satellites

Time period: 01.07.2007 - 14.01.2008
Leadership: Prof. Dr. Christof Büskens

Black-Box Optimierer

Time period: 01.06.2007 - 31.05.2010
Leadership: Prof. Dr. Christof Büskens

Erweiterung des Riccati-Reglers auf adaptive modellbasierte Optimalregler

Time period: since 01.06.2007
Leadership: Prof. Dr. Christof Büskens

Verfahren zur Optimierten Biomethan-Erzeugung, Aufbereitung und –Nutzung

Time period: 01.05.2007 - 31.03.2010
Leadership: Prof. Dr. Christof Büskens

Optimization of Satellite Constellations
Mit Satelliten lassen sich Gebiete auf der Erde beobachten. Doch bevor Satelliten auf ihre Umlaufbahn geschickt werden können, muss beim Einsatz mehrerer Satelliten eine Konstellation gefunden werden, so dass die Satelliten die gewünschten Zielgebiete auf der Erde mit bestimmten Wiederholraten abdecken.

Time period: 01.04.2007 - 31.07.2008
Leadership: Prof. Dr. Christof Büskens

Schwingungsfreie Optimalsteuerung und Regelung von Hochregallagerbediensystemen in der Logistik

Time period: since 01.10.2006
Leadership: Prof. Dr. Christof Büskens

Optimal Treatment of Tumours in the Liver by Optimisation with Partial Differential Equations
With various illnesses which cause tumours (liver, lung, bone tumours, carcinoma of the kidney) surgery is often no longer a viable option, whether on account of the size of the tumour or the physical shape of the patient. In such situations, local and minimally invasive techniques have proven to be a successful treatment alternative. The so-called thermo-ablation treatment destroys the malignant tissue by local heating or cooling. Examples of the treatment using local heating include radio-frequency (RF) ablation and thermotherapy induced by either laser or concentrated ultrasound.

Time period: 01.08.2006 - 31.07.2009
Leadership: Prof. Dr. Christof Büskens

Online-Optimierung in der Mehrsystemdynamik unter einer erweiterten Klasse von Nebenbedingungen

Time period: since 01.10.2005
Leadership: Prof. Dr. Christof Büskens

Online Optimisation of Cogeneration Plants
Industrial cogeneration plants serve to reduce operating costs because the plants can generally be operated flexibly with fewer staff and a higher availability. Cogeneration has a long tradition in Germany and has been used for a great number of years in a variety of power plant configurations. The term cogeneration stands for all processes whereby a power plant simultaneously generates several target energies, i.e. mechanical energy, electrical energy, heat or cooling, from the energies fed in, said target energies then being supplied for the heating and lighting of rooms, for example.

Time period: since 01.06.2004
Leadership: Prof. Dr. Christof Büskens

Optimierung in der Logistik: Kollisionsfreie Bahnplanung für Paketroboter zur Containerentladung
Die automatisierte Fördertechnik zur Verteilung von Paketgütern spielt für die Wettbewerbsfähigkeit von Unternehmen eine zentrale Rolle. Es gilt Arbeitsplätze mit hoher Wiederholfrequenz zu automatisieren und zu humanisieren. Ziel des Projektes ist die Bestimmung kollisionsfreier Roboterbahnen in dem durch den Container extrem eingeschränkten Arbeitsraum.

Time period: 01.05.2004 - 01.07.2004
Leadership: Prof. Dr. Christof Büskens

Minimal Identification and Modelling of the Dynamics of Industrial Robots
Robot paths can already be designed from the kinematics of an industrial robot which describe its geometry. For optimal control, which takes the robot to its limits, if necessary, the modelling has to take into account the dynamic behaviour on which, for example, inertia, torsion and friction forces have an effect, however. An exact dynamic description of the robot allows one to determine minimum energy paths, for example, or to reduce the wear and tear in the joints.

Time period: 01.05.2004 - 30.04.2005
Leadership: Prof. Dr. Christof Büskens

Bilevel Optimal Control
Bilevel-Optimalsteuerungsprobleme stellen eine Erweiterung der klassischen Aufgabenstellung der Optimalen Steuerung dar. Zusätzlich zu den üblichen Beschränkungen für die Steuergrößen oder die Systemzustände werden hier jedoch weitere Beschränkungen gefordert, die selbst wieder als Optimalsteuerungsprobleme formuliert werden.

Time period: 01.04.2004 - 30.04.2009
Leadership: Prof. Dr. Christof Büskens

Identifikation von Druckverhältnissen beim Mikrotiefziehen
Mit Tiefziehen bezeichnet man das Zugdruckumformen von Blechen zu einem Hohlkörper oder die Formung eines Hohlkörpers mit kleinerem Umfang aus einem Hohlkörper größeren Umfangs. Ein niedergehender Ziehstempel drückt das Blech in die Ziehmatrize und formt es damit zu dem gewünschten Werkstück. Ziel der Kooperation ist die Identifikation nicht messbarer Druckverhältnisse zwischen Blech und Hohlkörper zur mathematischen Modellierung des Mikrotiefziehens.

Time period: 01.04.2004 - 31.07.2007
Leadership: Prof. Dr. Christof Büskens

Optimierte Geometrien bei der Strömung von viskosen und viskoelastischen Flüssigkeiten in geneigten offenen Kanälen
Filmströmungen finden sich in einer Vielzahl von technischen Anwendungen, zB. Ölfilme im Automotor oder Beschichtungen mit Lacken. Trotz ihrer großen Bedeutung ist bis heute nicht geklärt, wie etwa die Geometrie eines Kanals beschaffen sein muss, damit man eine maximale Strömungsgeschwindigkeit oder wirbelfreie Strömung erreicht.

Time period: since 01.04.2003
Leadership: Prof. Dr. Christof Büskens

Invariante Unterräume bei der Parameterschätzung mit Anwendungen in der Glasschmelze

Durch mathematische Optimierung kann der Energie-Einsatz bei der Glasherstellung deutlich verringert werden. In diesem Projekt wurden insbesondere Methoden zur Identifikation der invarianten Unterräume der Parameterschätzungen, die nach einer Ersatzmodellierung durch gewöhnliche Differentialgleichungen auftreten, entwickelt.

Time period: 01.03.2003 - 30.06.2004
Leadership: Prof. Dr. Dr. h.c. Peter Maaß, Prof. Dr. Christof Büskens

Optimisation of Thermo-Mechanical Processes with Laser Welding
Mithilfe von mathematischen Optimierungsmethoden können geeignete Zusatzwerkstoffe, die auf die metallurgischen Eigenschaften einwirken, so ausgewählt werden, dass die Heißrissbildung beim Laserschweißen minimiert wird.

Time period: 01.01.2003 - 31.03.2004
Leadership: Prof. Dr. Christof Büskens

Sollwertgenerierung für Sensoren
Das Unternehmen Mahr GmbH produziert u.a. hochgenaue Messinstrumente, in denen Sensoren vorgegebene Messpunkte anfahren müssen. In dem Projekt werden Methoden zur Berechnung optimaler, dreidimensionaler Bahnen durch solche vorgegebenen Sollwerte entwickelt.

Time period: 01.04.2002 - 31.08.2004
Leadership: Prof. Dr. Christof Büskens

Optimization in Logistics: Modelling and Real Time Optimal Control of a New High-Bay Warehouse Stacking System
Krusche Lagertechnik AG developed a new stacking system for loading and unloading high-bay warehouses, the so-called TransFaster®, for which a patent has been filed. They created a lift system which can be moved horizontally and vertically to make it easier to stack high-bay warehouses: a positioning unit is connected to a load-carrying attachment by means of four cables. On the load-carrying attachment of the TransFaster® there is a transfer unit to pick-up and drop-off the transport goods.

Time period: 01.11.2001 - 31.12.2004
Leadership: Prof. Dr. Christof Büskens