At the vehicle product level, we investigate the optimal powertrain choice and modular components or subsystems that can be shared and custom-tailored for an arbitrary set of vehicle types. One level deeper, we search for methods and optimization tools to synthesize vehicle architectures construct systems that fulfil certain functions or requirements. This is typically a top-down and bottom-up process of mapping functions to components and vice versa. Yet, we also want to automate this process by extracting engineering knowledge in an automated manner and using constraint programming techniques to generate new system architectures (platform).
Finally, at the lowest system level, we are searching for computationally tractable models for the electric machine, inverter, battery pack, and transmission as being part of the powertrain. These models can be very complex due to their multi-physics nature, and here we are investigating multi-fidelity methods as a trade-off between acceptable accuracy and computation time to explore the huge design space in an effective and efficient manner.
For project three, on system architecture synthesis, we are still searching for a suitable candidate. We are very excited about the work, and the integration of these design spaces into a single work package is unique. The collaboration with Lightyear and TNO allows for a great mix of industry involvement and academia. Strong cooperation at various levels between industrial R&D experts and TU researchers allows to optimally implement the newly envisioned system engineering methods and CAE design tools.