Load data analysis plays a central role in vehicle engineering, as it allows for targeted optimizations in the areas of durability, energy efficiency, and emissions. By analyzing load data using methods in the time, frequency, and amplitude domain, engineers can better understand vehicle usage patterns and develop more robust designs, taking also into account the usage variability. Simulations based on this data enable the testing of various scenarios and the prediction of vehicle component behavior under realistic conditions. This allows for the analysis and optimization of functional characteristics such as vibration comfort and durability before a prototype is available for measurements. This not only contributes to increasing the service life of vehicles but also to reducing emissions and energy consumption. Consequently, load data analysis together with simulations supports the development of innovative vehicles that are both highly efficient and environmentally friendly.

The lecture takes place at the Fraunhofer Institute for Industrial Mathematics ITWM. The lecture will be accompanied by a tour of the laboratory facilities of the division “Mathematics for Vehicle Engineering”:

• Human-in-the-Loop Driving Simulator RODOS^® (RObot based Driving and Operation Simulator)
• 3D laser scanner vehicle REDAR (Road and Environment Data Acquisition Rover)
• Virtual-Reality-Labor (Virtual Reality Lab for Testing in Virtual Worlds)