Simon Gottorf

RWTH Aachen University · Institute for Combustion Engines

In the following paper, requirements for long-term power demand prediction algorithms are formulated, that are needed for a successful implementation of prediction-based driving functions and for enabling their potential benefits in series production vehicles. To this end, influencing factors that affect the load profile when driving on a given rou...

Development challenges in the automotive industry are constantly increasing due to the high number of vehicle variants, the growing complexity of powertrains, and future legal requirements. In order to reduce development times while maintaining a high level of product quality and financial feasibility, the application of new model-based methods for...

In the following paper, requirements for long-term power demand prediction algorithms are formulated, that are needed for a successful implementation of prediction-based driving functions and for enabling their potential benefits in series production vehicles. To this end, influencing factors that affect the load profile when driving on a given rou...

The development challenges in the automotive industry are constantly increasing due to the high number of vehicle variants, the growing powertrain complexity and future legal requirements. In order to reduce development times while maintaining high quality levels and financial feasibility, the application of new model-based methods for virtual powe...

The article presents the development of a lean approach for virtual electronic control unit (ECU) calibration. In this calibration method, virtual models are used to improve the calibration quality or reduce the calibration effort. Unlike state-of-the-art approaches, no dedicated engine simulation models for hardware-in-the-loop (HiL) operation are...