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Development of a Real-Time Rule-Based Energy Management System for Fuel Cell-Dominated Powertrains in Hybrid Electric Transporters
No full textThis study presents a rule-based energy management system (EMS) for a light-duty transporter with a fuel cell-dominated powertrain. In such architectures, the smallcapacity battery cannot consistently provide the power and energy buffer required by optimal control strategies to maintain the fuel cell system (FCS) within its high-efficiency operating range, and it frequently exceeds its continuous power capability. Unlike conventional EMS designs, the proposed EMS incorporates battery charging and discharging power limits across multiple time scales, including long-term, short-term, and burst levels, into the control design to dynamically manage the power distribution between the FCS and the battery. A regenerative braking power control strategy is also introduced to balance the regenerative and FCS power during deceleration. Validation on a powertrain test bench with vehicle-identical components demonstrates that the proposed EMS effectively reduces FCS power fluctuations while keeping battery stress within predefined limits. An average FCS efficiency of 52.2% is achieved under the US06 drive cycle. The efficiency and robustness of the EMS are confirmed by real measurement results, highlighting its readiness for practical implementatio
Employee Experience: Gestaltung positiver Mitarbeitererlebnisse durch die Integration von KI
No full textDie Gestaltung positiver Mitarbeitererlebnisse spielt eine zentrale Rolle für die Schaffung besonderer Kundenerlebnisse und die Steigerung der Unternehmensleistung. Studien, wie die des IBM Institute for Business Value (Lesser et al., 2016), bestätigen den engen Zusammenhang zwischen Mitarbeiterzufriedenheit und Kundenerlebnis. Der GALLUP Engagement Index Deutschland (2023) zeigt, dass nur 13 % der Arbeitnehmenden eine hohe emotionale Bindung an ihr Unternehmen haben, während 18 % bereits innerlich gekündigt haben – der höchste Wert seit 2012. Eine positive Gestaltung des Arbeitsumfeldes fördert nicht nur Produktivität und Kundenzufriedenheit, sondern reduziert auch die Fluktuation und Fehlzeiten. Unternehmen müssen daher verstärkt in die Verbesserung der Mitarbeitererfahrung investieren, um nachhaltigen Unternehmenserfolg zu sichern
Machine Learning Using a Hybrid Quantum Classical Algorithm with Amplitude Data Encoding
No full textArtificial Intelligence (AI) has become an integral part of the industry. As an emerging technology, Quantum Computing has already delivered impressive results. In an earlier paper we compared Quantum Machine Learning (QML) to traditional machine learning algorithms, whereby QML unexpectedly delivered inferior results. In this study, we examine novel encoding methods that extend the feature space to improve the performance of QML algorithms. This work seeks to improve upon the results of the prior paper [9]. The outcomes can then be used to realize the potential of Quantum Machine Learning in industrial applications
Brand Leadership im Tourismus: Mit starken Marken zum Erfolg
No full textDieses Buch beschäftigt sich mit der Frage, was starke Tourismusmarken auszeichnet und wie man erfolgreiche Marken im Tourismus aufbaut: Mit welchen Strategien, Techniken und Aktivitäten erarbeitet man sich einzigartige Profilierungs- und Markenleistungen als Brand Leader in seinem Wettbewerbssegment? Wie etabliert man eine Vertrauensbasis zum Kunden und baut sich dadurch langfristige, loyale und damit profitable Kundenbeziehungen auf? Wie schafft man es, mit der gewählten Markenstrategie und den entwickelten Marken für die anvisierte Zielgruppe in der jeweiligen Tourismusbranche relevant zu sein bzw. zu bleiben?
Renommierte Autoren aus Wissenschaft und Unternehmenspraxis behandeln diese und zahlreiche weitere Fragen in ihren unterschiedlichen Dimensionen und arbeiten theoretisch fundiert und praxisrelevant die Besonderheiten einer professionellen Markenführung im Tourismus auf. Das Spektrum der Beiträge reicht von theoretischen Grundlagen, Einzelinstrumenten und Methoden der Markenführung, Fallstudien und Umsetzungserfahrungen bis zu Interviews mit Top-Führungskräften aus der Tourismusindustrie. Dieser Sammelband richtet sich in erster Linie an Managementpraktiker und soll den Leser zum Nachdenken, Weitermachen und Weiterentwickeln inspirieren. Das Buch eignet sich aber auch als auch als Grundlage für Vorlesungen zum Tourismusmarketing sowie als Quelle zur Anregung weiterer Forschung im Bereich des Markenmanagement im Tourismus
High hardness Ta doped eutectic high entropy alloy by wire arc additive manufacturing
No full textIntegrating wire arc additive manufacturing (WAAM) with HEAs presents numerous advantages, notably cost-effectively and efficiently producing large-scale components. However, the successful implementation of WAAM for HEAs necessitates specific filament compositions, which poses challenges. While softer HEAs like Canrtor can be manufactured using solid wire or multicomponent wire cords, fabricating solid wire with the requisite composition for high-hardness alloys becomes unfeasible. Addressing this technological complexity is the focus of this study. The proposed methodology revolves around gas metal arc welding (GMAW), which employs metal powder-cored wires (MPCW). These wires contain powder components in equal proportions, offering advantages over alternative bulk alloy production methods such as vacuum or argon-plasma melting, primarily due to the greater volume of molten material within the workpiece. The refinement of this approach is illustrated using a high-hardness eutectic high-entropy FeCoNiAl alloy system doped with Ta. The resulting WAAMed alloy initially exhibits nearly zero plasticity, a characteristic later mitigated through a specialized heat treatment procedure
Multi-Waypoint Path Planning and Motion Control for Non-holonomic Mobile Robots in Agricultural Applications
No full textThere is a growing demand for autonomous mobile robots capable of navigating unstructured agricultural environments. Tasks such as weed control in meadows require efficient path planning through an unordered set of coordinates while minimizing travel distance and adhering to curvature constraints to prevent soil damage and protect vegetation. This paper presents an integrated navigation framework combining a global path planner based on the Dubins Traveling Salesman Problem (DTSP) with a Nonlinear Model Predictive Control (NMPC) strategy for local path planning and control. The DTSP generates a minimum-length, curvature-constrained path that efficiently visits all targets, while the NMPC leverages this path to compute control signals to accurately reach each waypoint. The system’s performance was validated through comparative simulation analysis on real-world field datasets, demonstrating that the coupled DTSP-based planner produced smoother and shorter paths, with a reduction of about 16% in the provided scenario, compared to decoupled methods. Based thereon, the NMPC controller effectively steered the robot to the desired waypoints, while locally optimizing the trajectory and ensuring adherence to constraints. These findings demonstrate the potential of the proposed framework for efficient autonomous navigation in agricultural environments
Optimal Power Split Control for State of Charge Balancing in Battery Systems With Integrated Spatial Thermal Analysis and Aging Estimation
No full textThis paper proposes an optimal control strategy for SOC balancing and introduces a framework for analyzing the spatial temperature distribution in a multi‐pack battery energy storage system (BESS) composed of multiple battery modules. While various control techniques exist to distribute power among parallel‐connected battery systems, their influence on the spatial temperature distribution within their modules is often neglected, despite temperature being a critical factor accelerating battery health degradation. To bridge this research gap, this framework integrates a 1D thermal simulation and state‐of‐health (SoH) estimation with power split control strategies. To showcase the application of this framework, a comparative study of two power‐sharing methods is conducted: (i) Model Predictive Control (MPC) based State of Charge (SoC) balancing, and (ii) Rule‐Based Control (RBC) strategies, highlighting their impact on temperature distribution and battery aging. Results show that MPC maintains a more uniform temperature profile, limiting peak temperatures to 300 K and minimizing SoH degradation, whereas RBC results in higher peak temperatures (314 K) and accelerated aging. In summary, this framework primarily intends to: (i) Enable researchers to further develop health‐aware power‐sharing strategies for BESS. (ii) Equip BESS operators with detailed spatial temperature insights to optimize power management and cooling systems
Enhancing Learning Analytics: H5P Results for Personalized Software Engineering Education
No full textLearning Management Systems have become fundamental in higher education for delivering and managing educational content. However, traditional implementations often lack the ability to provide personalized learning experiences and detailed insights into learner behavior. A new approach addresses these limitations by enabling more detailed Learning Analytics through the integration of interactive H5P content and the implementation of Moodle’s LogStore xAPI plugin to send Experience API-based statements within a Moodle Learning Management System. By extending this plugin, detailed user interactions, including activity outcomes, scores, durations and completion status, are captured as Learning Records and stored in a Learning Record Store for further analysis. The enriched Learning Records enable more advanced Learning Analytics that provide deeper insights into student behavior, such as identifying learning preferences, activity patterns, and knowledge levels. Future work will involve developing a recommendation system that uses the Learning Analytics data to identify the next activity best suited to fill learning gaps. The system should monitor learner preferences to maintain engagement, enable adaptive learning paths and offer personalized suggestions. Further efforts will focus on refining the system and evaluating its effectiveness in improving educational outcomes
The relevance of sustainability in supply chains for purchase decision-making
No full textResearch question:
Among the factors of price, service level, and sustainable supply chain management, which is the most relevant for purchase decision-making?
Methods:
This study employs statistical methods with a quantitative approach to assess the relevance of different variables for purchase decision-making in the context of sustainable supply chain management. The analysis aims to determine the relative importance and relevance of each factor based on consumer trade-off judgements. The study uses a tailored questionnaire answered by 68 participants, with its outcomes subjected to conjoint analysis. The conjoint analysis provides valuable insights into consumer preferences and decision-making processes concerning specific products or services.
Results:
The analysis reveals that price is the most relevant criterion for purchase decision making, followed by the environmental dimension of sustainable supply chain management, and then the logistics service level. The social dimension of sustainable supply chain management is found to be the least relevant factor.
Structure of the article:
Introduction; Literature Review; Research Questions & Methods; Empirical Results; Conclusions; About the Author; Bibliography
Key words: Sustainable supply chain management; purchase decision-making; conjoint analysis; pricing; logistics service leve
Pathways to Care from the Perspective of Family Caregivers
No full textIntroduction
For family caregivers, the moment one begins to care for a loved one is key to the caring process: It shapes the subsequent course of care as well as the use of support services. Caregiver self-identification is seen as crucial in this process. This working paper examines how family caregivers experience the beginning of care and the process of self-identification.
Methodology
This investigation was carried out in the evaluation of 33 qualitative, semi-structured interviews conducted as part of the Digital applications for care provision (DiVa) research project according to Kuckartz’s (2018) content-structuring qualitative content analysis. Participants were grouped into those who retrospectively perceived the start of care as gradual or sudden.
Results
The results show differences in the perception of the start of care, the activities carried out and the use of support between the groups of gradual and sudden caregivers. In some cases, the former did not identify themselves as family caregivers until years later, while in others they tended to take on domestic tasks at the beginning and rarely seek professional support. In contrast, family caregivers who suddenly became caregivers felt overwhelmed by the number and speed of demands placed on them. They were more likely to seek professional help with their care and rely on their private network for support in this exceptional situation. What both groups had in common is a personal approach to the situation and the desire to have a contact person available around the clock, even for minor concerns.
Conclusion
Implications for practice, for further investigation and survey research can be drawn from the results.Hinführung:
Der Beginn der Übernahme der Pflege einer nahestehenden Person ist für Angehörige ein zentraler Punkt im Pflegeprozess, der den weiteren Pflegeverlauf und die Inanspruchnahme von Unterstützung prägt. Der Selbstidentifikation als pflegende Angehörige wird in diesem Prozess eine zentrale Bedeutung zugeschrieben. Dennoch wird in der einschlägigen Literatur auf Forschungslücken in diesem Bereich hingewiesen. Das vorliegende Working Paper greift dieses Desiderat auf und geht der Frage nach, wie pflegende Angehörige den Beginn der Pflegeübernahme sowie den Prozess der Selbstidentifikation erleben.
Methodik:
Zur Untersuchung der Fragestellungen werden gesonderte Auswertungen von 34 qualitativen, leitfadengestützten Interviews durchgeführt, die im Rahmen des Forschungsprojektes: Digitale Versorgungsanwendungen (DiVa) erhoben wurden. Die Auswertung erfolgt in Anlehnung an die inhaltlich strukturierende qualitative Inhaltsanalyse nach Kuckartz (2018) und differenziert zwischen Teilnehmenden, die den Pflegeeintritt retrospektiv als schleichend oder plötzlich wahrnehmen.
Ergebnisse:
Die Ergebnisse zeigen Unterschiede in der Wahrnehmung des Pflegebeginns, den übernommenen Tätigkeiten sowie der Inanspruchnahme von Unterstützung zwischen der Gruppe mit einem schleichenden und der Gruppe mit einem plötzlichen Pflegeeintritt. Erstere identifizieren sich zum Teil erst nach Jahren als pflegende Angehörige, übernehmen zu Beginn eher haushaltsnahe Tätigkeiten und nehmen selten professionelle Unterstützung in Anspruch. Angehörige, die plötzlich in die Pflege einsteigen, fühlen sich durch die Vielzahl und das Tempo der Anforderungen, die gleichzeitig auf sie zukommen, überfordert. Sie greifen eher auf professionelle Hilfe bei der Pflege zurück und werden in dieser Ausnahmesituation auch durch ihr privates Netzwerk unterstützt. Als Gemeinsamkeit zeichnen sich die Herausforderungen im persönlichen Umgang mit der Situation sowie der Wunsch nach immer verfügbaren Ansprechpartner:innen auch für kleine Anliegen ab.
Schlussfolgerung:
Aus den Ergebnissen können Implikationen für die Praxis und für weitere Untersuchungen bzw. die Surveyforschung abgeleitet werden