Abstract
Keywords: Model Based Testing, Driveability, Virtual Development Process, Dynamic Calibration, Engine and Transmission Control Functions
Considering the goals for future automotive powertrains with regard to fuel economy, emission and driveability, some major trends can be observed. On the one hand, adequate mechatronic components must allow for precision control of combustion and exhaust aftertreatment as well as dynamic behaviour and will be a precondition for technology advances. On the other hand, the respective control strategies must be in place and their parametrization and optimization will actually differentiate the solutions in the market place. In order to manage these trends in the automotive development process, the consistency of tools in simulation and test will be key to develop optimum system solutions and a paradigm shift will be required in two aspects. Firstly, simulation and test need to be interlinked in a way that there is best use of available data for each development step, creating scalable models based on physical and empirical data. Going beyond a theoretical frontloading approach a seamless workflow is recommended on the basis of a consistent toolchain. Illustrated by examples, the potential of virtual testing with physical simulation, simulation aided empirical modelling, and the consistent use of design of experiments (DOE) and design of calculation (DOC) is discussed with respect to the dynamic behaviour of a powertrain system. The second paradigm shift is required for the harmonisation of the mechanical and electronic control development process which will both need to be synchronised. Examples show that certain technologies could only be realized by developing control functions in parallel with the optimization procedures for engine and powertrain. The applied toolchain is thus enabling a robust implementation of a new technology.