Research Projects
Ongoing Research Projects |
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Completed Research Projects |
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KoopF
Title | Validation of the feasibility and robustness of energy-efficient and cooperative driving functions |
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Acronym | KoopF |
Funding | Ministerium für Wirtschaft, Innovation, Digitalisierung und Energie des Landes Nordrhein-Westfalen |
Description |
Within the scope of this project, a driving function for cooperative driving (at least two automated vehicles in a vehicle network) previously developed in the simulation will be validated by driving tests. With the help of the work carried out, the energy-saving potential of cooperative driving functions identified in the simulation will be confirmed in the real vehicle and solutions for real-time capability and robustness to sensor inaccuracies and other disturbance variables will be developed. |
Term |
01/2023 - 06/2023 |
Title | Research Unit 2401 – Optimization-Based Multiscale Control of Low-Temperature Combustion Engines |
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Acronym | FOR 2401 |
Funding | German Research Foundation (DFG) |
Description |
A state-of-the-art approach for closed-loop control of low temperature combustion processes are cycle-based control algorithms. However, these approaches allow only a stable operation in a very limited engine-map. Cycle-based controllers act such that only the system dynamics and disturbances which occur at a cycle-averaged time scale can be controlled. The relevant physico-chemical processes determining the stability and emissions characteristics of low temperature combustion, which proceed on a inner-cyclic time-level, can’t be controlled. For this reason TP1 investigates multiscale control algorithms, to also control the smaller time scales. It is expected that a successful control of these critical time scales allows for distinct enlarging of the operating range, increase of efficiency and reduction of pollutant emissions. The multiscale control is a novel approach. |
Term |
10/2016 - 09/2023 |
Heuristic Search and Deep Learning
Title | Heuristic Search and Deep Learning |
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Acronym | Heuristic Search and Deep Learning |
Funding | Bundesministerium für Wirtschaft und Klimaschutz (BMWK),
Arbeitsgemeinschaft industrieller Forschungsvereinigungen (AiF) |
Description |
The development of transient control functions represents a major development effort, especially for highly complex, strongly non-linear systems such as that of a combustion engine. The need to consider many independent parameters also complicates the optimization process, making methodological approaches in addition to pure domain expertise a useful support. Reinforcement learning is a promising approach from the field of machine learning. In this approach, an agent independently learns a strategy that maximizes the reward it receives. Using this methodology, optimized control strategies can be learned fully automatically. |
Term |
11/2020 - 10/2023 |
Title |
Virtual sensors from chemistry-based models for intelligent online virtual calibration |
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Acronym | VISION |
Funding |
Bundesministerium für Wirtschaft und Klimaschutz (BMWK) |
Description | The aim of this project is to refine the LOGE-RT software for real-time emission prediction based on detailed chemistry and to extend it to the modeling of exhaust manifolds and engine exhaust aftertreatment. |
Term |
07/2022 - 12/2023 |
Title | Robot for flexible automatic charging of electric vehicles |
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Acronym | GINI |
Funding |
Federal Ministry for Economic Affairs and Climate Action |
Description |
GINI pursues the goal of developing a smart, semi-autonomous, mobile charging robot with fast charging technology and an inductive charging interface. In addition to the function of charging electrified vehicles in urban areas, the charging of e-bike sharing stations as well as data acquisition, pre-processing and analysis in a networked environment will be enabled. Thus, a significant contribution can be made to the urgently needed expansion of cost-efficient, powerful and flexible charging infrastructure for electrified mobility solutions. |
Term |
01/2022 - 12/2024 |
Title | Large scale system approach for advanced charging solutions |
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Acronym | XL-Connect |
Funding |
European Commission, Horizon Europe |
Description |
The strong increase of electric vehicles is a big challenge for the energy system in Europe, but at the same time a chance to use V1G/V2G/V2X-technologies. As vehicles are mainly parking, they can be used as energy storage in order to increase grid stability. The overall project objective is to optimize the entire charging chain - from energy provision to the end user - to create a clear benefit for all stakeholders. |
Term |
01/2023 - 06/2026 |
ESCALATE
Title | Powering EU Net Zero Future by Escalating Zero Emission HDVs and Logistic Intelligence |
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Acronym | ESCALATE |
Funding |
European Commission, Horizon Europe |
Description |
In line with the European 2050 goals ESCALATE aims to demonstrate high-efficiency zHDV powertrains (up to 10% increase) for long-haul applications that will provide a range of 800 km without refueling/recharging and cover at least 500 km average daily operation (6+ months) in real conditions. ESCALATE will achieve this by following modularity and scalability approach starting from the β-level of hardware and software innovations and aiming to reach the γ-level in the first sprint and eventually the δ-level at the project end through its 2 sprint-V-cycle. |
Term |
01/2023 - 06/2026 |