41st International Vienna Motor Symposium
Model Based Systems Engineering for Standardized Simulation Frameworks: Case Study Development of Electrical Vehicles
Dr.-Ing. J. Ewald, Dr.-Ing. P. Orth, FEV Europe GmbH, Aachen;
C. Granrath MSc, Prof. Dr.-Ing. J. Andert, RWTH Aachen University
- Print Info
- Fortschritt-Berichte VDI, Reihe 12, Nr. 813
In automotive software development, simulation models are becoming increasingly important, especially in the early phases of product verification. Due to increasing cost pressure and the shortening of development cycles, various development areas require increasingly complex simulation models. According to the current state-of-the-art, there is no standardized simulation framework to avoid high effort for the creation of complex system simulations and to ensure its quality. Interdisciplinary and model-based systems engineering is scientifically available for control of complexity as a methodical approach. It is partly accepted as a solution in the automotive industry and is prototypically used in a few industrial projects. The use of standardization and reusability concepts to reduce development costs has been successfully established in software development. The lack of consistency in the use of simulation models in all development phases and the high costs of quality assurance require the development and application of new approaches for the development of standardized simulation frameworks.
In the context of this contribution, a methodology based on model-based systems engineering for the structured and formalized specification of requirements for a generic simulation model architecture with standardized, functional and signal-based interfaces is presented using the example of the development of electric vehicles. The results were developed in cooperation with industrial and academic partners in a project funded by the European Commission. The project "High Fidelity Electric Modeling and Testing" (HIFIELEMENTS) under consortium leadership of FEV focuses on the development process of electric vehicles based on simulation-based methods.