The OneWind R Modelica Library 1 [15] for coupled wind turbine loads calculation developed at Fraunhofer IWES uses a structural element based on a modal reduction method to model the motion and deformation of flexible wind turbine rotor blades and tower. The degrees of freedom (DOF) are rigid body motions and modal DOF. The ModalElement model allows the simulation of coupling effects like bend-twist coupling in wind turbine rotor blades and the structural behavior is dependent on the selected eigenmodes. This paper gives an overview about the Modelica implementation of the theory of modal elements, the advantages over other methods (finite-elements), how the ModalElement model is included into the OneWind R Modelica Library, and how it is used for load calculation.

Connected, Automated, Electrified. These three trends in the automotive industry require rethinking of the use of simulation respectively models. The use of models for evaluation of new concepts or stimulating the unit-undertest (in HiL testing), already firmly rooted in the development process of software functions, will not be sufficient to realize visions like autonomous driving or update-overthe-air. One key enabler for such technologies is virtual validation, i.e. the validation or release of software functions in a pure virtual setup. That is, simulation is not only a tool to shorten the development cycle, but one of the key technologies to release future software functions, e.g. highly automated or autonomous driving. In this contribution a feasibility study for the validation of FMI-based virtual ECUs (vECUs) in a co-simulation setup is presented. Thereby, the powertrain and the vECU are represented by FMUs, while the tool CarMaker is used for vehicle dynamics. On the base of the gained experience requirements for the FMI standard are formulated that would allow to go for virtual validation of future software functions.

Model Driven Software Development evolved into a common way of creating software products. Describing software in a more abstract way simplifies and speeds up the development process and generated code turns out to fulfill high quality standards. As a subcategory of model driven development Domain-Specific Languages concede to express problems in a domain specific way. By defining a languages grammar, an editor that provides basic support for developers can be generated automatically. This paper describes how these concepts are utilized for the creation of a Modelica Integrated Development Environment (IDE). Helpful functionality is implemented in a model driven way to maximize assistance during the development process. Thus the developer receives a tool that allows to survey large scale projects and provides functionality that is well known in other popular programming languages. Furthermore an approach for semantical verification of Modelica documents during the development process is presented. This allows to detect and correct errors early.

A vital part in development of physical models, i.e., mathematical models of physical system behavior, is testing whether the simulation results match the developer's expectations and physical laws. Creation and automatic execution of tests need to be easy to be accepted by the user. Currently, testing is mostly performed manually by regression testing and investigation of result plots. Furthermore, comparisons between different tools can be cumbersome due to different output formats. In this paper, the test framework MoUnit is introduced for automatic testing of Modelica models through unit testing. MoUnit allows comparison of Modelica simulation results with reference data, where both reference data and simulation results can originate from different simulation tools and/or Modelica compilers. The presented test framework MoUnit brings the widespread approach of unit testing from software development into practice also for physical modeling. The testing strategy that is used within the Modelica IDE OneModelica from which the requirements for MoUnit arose, is introduced using an example of linear water wave models. The implementation and features of MoUnit are described and its flexibility is exhibited through two test cases. It is outlined, how MoUnit is integrated into OneModelica and how the tests can be automated within continuous build environments.

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