Bøger i AutoUni - Schriftenreihe serien

Given the limitations of state-of-the-art methods, this book presents a state of health (SOH) forecasting method that is suitable for lithium-ion battery (LIB) systems in real-world battery electric vehicle operation. Its histogram-based features can capture the higher operational variability compared to constant and controlled laboratory operation. Also, the transferability of a trained machine learning model to new LIB cell types and new operational domains is investigated. The presented SOH forecasting method can be provided as a cloud service via a web or smartphone app to fleet managers. Forecasting the SOH enables fleet managers of battery electric vehicle fleets to forecast and plan vehicle replacements.

The automotive industry is facing the challenge of reducing its environmental impact to comply with stricter fleet emission regulations. Still, an OEM¿s contribution to the targets of the Paris Agreement must consider the entire life cycle of a vehicle, surpassing the targets of the current legislations which focusses on the use stage only. This work presents a concept that identifies the ideal configuration of a modular product system like a vehicle to meet a limited environmental impact at the lowest life cycle costs along the entire life cycle. This optimization is based on the ideal combination of modular product components which are selected by an algorithm based on graph theory.

In the last decade unsupervised pattern discovery in time series, i.e. the problem of finding recurrent similar subsequences in long multivariate time series without the need of querying subsequences, has earned more and more attention in research and industry. Pattern discovery was already successfully applied to various areas like seismology, medicine, robotics or music. Until now an application to automotive time series has not been investigated. This dissertation fills this desideratum by studying the special characteristics of vehicle sensor logs and proposing an appropriate approach for pattern discovery. To prove the benefit of pattern discovery methods in automotive applications, the algorithm is applied to construct representative driving cycles. 

In dieser Arbeit wird im Rahmen einer Fahrzeugeigenverschmutzung eine Untersuchung des Tropfenaufwirbelvorganges an einem Reifen mit numerischen und experimentellen Methoden durchgeführt. Zunächst wird die Tropfenentstehung und das Tropfenfeld eines einzelnen Reifens auf einer wasserbeaufschlagten Rolle in einem Windkanal betrachtet. Anschließend wird über einen neuartigen Ansatz der Tropfenaufwirbelvorgang bei einem einzelnen Reifen direkt simuliert und anhand der erzeugten Versuchsergebnisse validiert. Auf Grundlage des somit entstehenden virtuellen Tropfenfeldes wird eine neue, realistischere Tropfenrandbedingung generiert. Diese neue Randbedingung wird in eine Gesamtfahrzeug-Eigenverschmutzungssimulation implementiert, mit einem klassischen Reifen-Spray-Modell nach dem Stand der Forschung verglichen und realen Verschmutzungsbildern aus Windkanalexperimenten gegenübergestellt.

This book investigates the functioning of contemporary matrix organizations based on a case study of a German leading commercial vehicle manufacturer. This work brings significant empirical understanding of matrix organizations thanks to a rich research field combined with a novel framework for analysis of matrix organizations.

David Degenhardt develops an elasto-viscoplastic material model in order to predict the temperature and strain rate-dependent deformation and fracture behavior of thermoplastic polymers.

To tackle the challenges of the road estimation task, many works employ a fusion of multiple sources. Therefore, Tuan Tran Nguyen proposes a novel concept by incorporating reliabilities into the multi-source fusion so that the road estimation task can alternately select only the most reliable sources.

Inventory Management in Multi-Echelon Networks presents methods to plan inventory in distribution networks.

Steffen Heinrich describes a motion planning system for automated vehicles.

This book is published open access under a CC BY 4.0 license. This report transfers the Ecological Scarcity Method (ESM) to the EU and its 28 member states.

Benjamin Meyer performs several psycho-physical experiments to measure the re-adaptation process of glared drivers in traffic scenarios. This leads to better transferability of driving simulator results and enables investigating driving behavior in the presence of glare.

Within the scope of this work, Steffen Ropers evaluates the viscoelastic and temperature-dependent nature of the bending behavior of thermoplastic composite sheets in order to further enhance the predictability of the draping simulation.

Florian Neukart describes methods for interpreting signals in the human brain in combination with state of the art AI, allowing for the creation of artificial conscious entities (ACE).