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Zukunft ohne Ölwechsel Wie Software Defined Vehicles Werkstätten & Autohäuser verändern
No full textDie Automobilbranche verändert sich grundlegend. Mit Software-Defined Vehicles (SDV), Over-the-Air-Updates und vernetzten Systemen entstehen neue Anforderungen an Service, Wartung und Geschäftsmodelle. Der klassische Ölwechsel verliert an Bedeutung – stattdessen rücken datenbasierte Diagnosen und Softwarepflege in den Fokus.
Welche Folgen hat das für Werkstätten und Autohäuser? Wie können sich Betriebe strategisch und technisch auf den Wandel vorbereiten?
In diesem TASTE the Knowledge-Webinar geben Expert:innen aus Industrie und Forschung Einblicke in:
den Wandel durch SDVs und OTA-Updates
neue Anforderungen an Wartung, Diagnose und Serviceprozesse
Herausforderungen und Chancen für den unabhängigen After-Sales-Markt
konkrete Strategien und Praxisbeispiele für den erfolgreichen Wandel
Hinweis:
Das Video ist ab Minute 14 technisch unterbrochen. Die vollständige Präsentation kannst du jedoch als PDF herunterladen:
Präsentation
https://transformations-hub-taste.de/wp-content/uploads/2025/04/2024_TASTE-Webinar_TASTE-und-DiSer.pd
Improved harmonization of tropospheric NO2 retrievals from LEO and GEO constellations for air quality monitoring
No full textA Comparative Study of Component Surrogate Model Approximation for Holistic, Multi-Disciplinary Optimization of High Temperature Heat Pumps
No full textFast and reliable design methods are essential to reach the highest possible efficiency of high temperature heat pumps and enable their full potential. The heat pumps performance is strongly dependent on the efficiency of its components like turbomachines and heat exchangers. Conventional design is a sequential procedure starting with the cycle conceptualization. Component performance is initially based on assumptions and their design is optimized in subsequent steps with increasing level of detail. This sequential aspect makes it impossible to find the overall optimal heat pump configuration. To overcome this, holistic design strategies optimize the cycle parameters simultaneously with detailed geometric component design. This concept leads to significantly improved heat pump performance, saves time and reduces uncertainty. Multi-disciplinary optimizations are complex problems with a high number of design variables. This paper addresses two aspects of holistic heat pump design: A collaborative design architecture is introduced as a multilevel approach. Multiple components are designed in subproblems, which leads to a high number of required simulations. To mitigate high computational effort, the second focus is on approximation of the component analyses with the use of computationally inexpensive surrogate models. It is found that Gaussian process regression is most accurate and outperforms both linear regression and radial basis functions. In comparison to previous studies, the number of iterations for holistic design is drastically reduced to only 500. The presented optimization architecture also accelerates the process producing results in 35 CPU hours. The overall number of function evaluations for complex compressor design can be kept below 1000 simulations. In conclusion, the proposed strategy is very promising for application in future heat pump design with high potential for further research
Validation of Charging Demand Modeling with Real-World Data
No full textWith the increasing uptake of electric vehicles, accurate prediction of public charging demand is critical for effective planning of charging and energy infrastructure. However, there are often discrepancies between modeled predictions and actual usage. Therefore, the following research questions are addressed: First, how big is the difference between model output and real-world data? Second, how can we improve the accuracy of charging demand modeling to make forecasts more robust? By comparing real world data on charging demand with modeled charging demand, we identify inconsistencies in the modeled results. Therefore, model assumptions are refined until the desired level of accuracy is achieved. This paper contributes to a better understanding of real-world charging behavior, exemplifying an approach for enhanced charging demand predictions. Furthermore, this work establishes a basis for
optimized resource allocation, which could potentially lead to greater utilization of charging points compared to a model state that inadequately reflects user behavior
Voltage-based load recognition and its integration into an application use case
No full textThe expansion of renewable energies, the growing number of consumers, e.g., in e-mobility, and their connection to low voltage grids pose new challenges for grid operation, particularly regarding voltage control and energy losses. In this context, comprehensive knowledge about the surrounding grid facilitates the intelligent control of photovoltaic (PV)-battery systems, creating a need to observe grid participants. In that regard, a previously developed load recognition method is successfully applied in a use case to recognize two electric vehicles and a heat pump in a simulative grid environment, yielding an accuracy of around 96%. Considering to couple that method with a subsequent control algorithm, an approach is developed to estimate a virtual voltage signal, which represents the grid voltage without the impact of control actions. It is validated that this enables the effective application of load recognition in control conditions. Finally, it is demonstrated how to integrate the load recognition method into a control setup using the virtual voltage concept. The corresponding control algorithm manages the power flow between a PV-battery system and the grid in conjunction with a static Q(U) algorithm. It leverages the information about active loads with the objectives of maintaining a stable and balanced grid voltage and optimizing energy consumption in the example use case. Thereby, the voltage deviation is reduced by around 26% and the grid unbalance by approximately 38%, compared to only using the Q(U) algorithm without a battery. It can be concluded that the load recognition method can successfully gather information from the surroundings of a grid node even in control applications
Psychoacoustic analysis of the perceptual influence of rotational speed fluctuations in an urban mobility vehicle with distributed ducted fans
No full textNovel propulsion concepts are being developed for urban air mobility (UAM). This study analyses the noise emissions of a virtual UAM vehicle equipped with 26 distributed, ducted, low-speed fans. Synthetic flyover sounds are generated using an auralization framework, which involves noise predictions, sound propagation, and the binaural audio rendering at the observer position. Since noise emissions of distributed propulsion are characterized by interference effects, this paper discusses the influence of rotational speed fluctuations of the distributed fans on the sound perception of the auralized sounds. These rotational speed fluctuations are modelled as different ranges of random and constant deviations from the nominal speed, in contrast to the baseline case with the 26 fans operating synchronously. The results of a listening experiment performed to evaluate the perceptual differences between the different configurations seem to indicate that relatively small fluctuations in the rotational speed of the fans (e.g. ±1% with respect to the nominal rpm) already notably improve the perceived noise annoyance. The observed differences in annoyance ratings are reasonably well explained by sound metrics that consider the tonal nature of sound, such as the effective perceived noise level (EPNL), tonality, and the psychoacoustic annoyance model by Di et al
TESIN2 Abschlussbericht – Thermische Energiespeicher für die Erhöhung der Energieeffizienz in Heizkraftwerken
No full textDer vorliegende Schlussbericht dokumentiert die Weiterentwicklung von Hochtemperaturwärme-speichern für Industrieprozesse. Das Projektplan umfasste die Reparatur und Analyse von dem im Projekt TESIN (FKZ 03ESP011) gebauten Speicher. Im Laufe des Projekts wurde dieser Plan abgeändert, da wegen Wassereindringung im Speicher dieser nicht mehr repariert werden konnte. Der Speicher wurde abgebaut und der Schadensweg analysiert, sowie die Lessons Learned aus dem Projekt sowie vom Speichersystem abgeleitet. Diese gewonnenen Daten und Erkenntnisse sollen zukünftig die Integration von thermischen Energiespeichern in Industrieprozesse erleichtern
Laminar-Turbulent Transition Detection on a DU89-134/14 Airfoil at Low Reynolds Number and Low Temperature Using Cryogenic Temperature Sensitive Paint
No full textCryogenic Temperature Sensitive Paint (cryo-TSP) has been employed to investigate the flow topology over the DU89-134 airfoil at chord-based Reynolds numbers Rec = 2.5 × 105 and Rec = 5 × 105 and flow temperature of T = 233.15K. Spanwise-averaged surface temperature distributions and their gradients were analyzed to determine the locations of flow separation, transition, and reattachment. Results indicate that in most observed cases, the flow is characterized by a separation-induced transition, which is concomitant with the formation of Laminar Separation Bubble (LSB). In one case, the flow transitions directly to turbulence without prior separation, followed by a turbulent separation. This behaviour is attributed to the formation of ice crystals on the leading edge of the airfoil
Large scale 3D particle tracking for the study of airborne transmission of pathogens in realistic class room settings
No full textIn populated confined rooms the Lagrangian transport of small aerosol particles and their accumulation over time has been identified as the main pathway for indirect infections of persons by respiratory viruses, like Sars-CoV-2 or measles. In this project, we will further develop and apply 3D Lagrangian particle tracking and distributed temperature sensors in order to determine the volumetric transport of small aerosol particles in mixed turbulent convection under well-defined boundary conditions. Therefore, a ~70 m³ test room with optical access for a set of 8 emergent GMAX 65 Mpx streaming cameras and a large array of pulsed LEDs for the illumination of submillimeter HFSBs has been established at DLR Göttingen. A seminar room type configuration with 8 seated dummies at tables including a teacher and a mechanical lung have been choosen . The aim of these experiments is to quantify the time-scales for the distribution of potentially harmful viruses via airborne transport pathways and the accumulation of aerosol particles. Thus, we aim at providing a critical risk assessment for infection chains under various conditions and ventilation scenarios.The investigations specifically focus on dynamic situations and transient processes, like switching-on and -off of mitigation measures, e.g. window- or door- opening, operating air purifiers or fan ventilators, but we will as well involve a real moving person