Planning the charging infrastructure for electric vehicles (EVs) is a new challenging task. This book treats all involved aspects: charging technologies and norms, interactions with the electricity system, electrical installation, demand for charging infrastructure, economics of public infrastructure provision, policies in Germany and the EU, external effects, stakeholder cooperation, spatial planning on the regional and street level, operation and maintenance, and long term spatial planning.

The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.

Es wird der Einfluss der Antriebsstrangtopologie auf Energieverbrauch und Fahrleistungen eines elektrischen Sportwagens untersucht. Einfluss von Antriebstopologie und Komponenteneigenschaften wird simultan untersucht, um ein Systemoptimum anstelle eines Komponentenoptimums zu finden. Es wird das Konzept der Design Space Exploration eingesetzt. Der Designraum wird für mehrere Fahrzeuge und Bewertungszyklen untersucht, um Wechselwirkungen zw. Topologie und Komponenteneigenschaften zu analysieren. The link between drivetrain topology and energy consumption for all electric sports cars is analyzed. The drivetrain topology is varied along with the characteristics of the used components to find a system optimum instead of a component optimum. Design Space Exploration is used to explore the interactions between drivetrain topologies and component characteristics for different sports cars and driving cycles. Finally, design rules for efficient and high-performing drivetrains were derived.

Fracture of storage particles is considered to be one of the major reasons for capacity fade and increasing power loss in Li-ion batteries. In this work, we tackle the problem by merging a coupled model of mechanical stress and diffusion of Li-ions with a phase field description of an evolving crack. The novel approach allows us to study the evolution of the Li concentration together with the initiation and growth of a crack in an arbitrary geometry and without presuming a specific crack path.

In this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement learning control methods. Experimental results prove that these advanced control methods can effectively reduce the final temperature derivations and improve the temperature homogeneity.

Karlsruhe Institute of Technology (KIT) is developing the parallel computational fluid dynamics code GASFLOW-MPI as a best-estimate tool for predicting transport, mixing, and combustion of hydrogen and other gases in nuclear reactor containments and other facility buildings. GASFLOW-MPI is a finite-volume code based on proven computational fluid dynamics methodology that solves the compressible Navier-Stokes equations for three-dimensional volumes in Cartesian or cylindrical coordinates.