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The rapidly growing and interdisciplinary complexity of the vehicle and its powertrain act as the most important drivers for an increasingly simulation-supported development process. There is a clear trend from simulation-supported towards simulation-lead processes, where decisions are based on results from calculation and simulation. The approach that is presented here enables the investigation of causes and effects of longitudinal vehicle dynamics phenomena. The interactions of components and systems can be modelled transparently. The real-time models are structured in a way that the system's behaviour can be transferred analytically from multi-dimensionally calculating CAE tools. The model architecture and the methods of parameterisation were shown. The input Information to the simulation are data from design to the greatest possibie extend, and to the least necessary amount measurement data obtained from real components. The necessity to use measurement data depends on the result quality that can be achieved with pre-calculations for the affected component. The comparison between measurement and calculation is basically used both for quality check and for model refinement. Due to the consistency of the models the quality check can be done on any suitable kinds of testbeds. Moreover, the verified models can be used for diagnosis during testbed operation. A seamless platform for data from modelling, measurements and calculations leverages the consistency of arbitrarily complex scenarios of simulation and reality.