Automated Endurance Testing and an Outlook to AI

In the 21st century, also known as the century of automation, automated endurance testing of e.g. chassis components will become more and more important in order to be competitive to other vehicle manufacturers. Automation can not only can guarantee the reproducibility between different test runs and thus shortens the development time and costs of vehicle components, but also enables us to test complex maneuvers of an interacting vehicle fleet e.g. highway pilot (ADAS). Thus, automated testing will become absolutely mandatory in future. In the following, we will discuss in detail the newly and self-developed software components that enables us to automate the testing of e.g. chassis components. Finally, we will give an overview of the advantages and disadvantages of the proposed solution and will discuss how to embed artificial intelligence (AI) into a predictive control design. We will highlight the difference between learning-based and non-learning based control and will end with simulation and experimental data.