The defensive layout of drive systems designed for autonomous driving exerts a different kind of stress on the mechanical systems than the stress caused by a person driving the vehicle. By collecting data on stress caused by transverse and longitudinal control and on the use of driver assistance systems as well as by mapping infrastructure parameters, the required design differences can be estimated. A more targeted design of, for example, an electric drive train can make the vehicle lighter while safeguarding its mechanical capabilities.
Validation of carry-over part strategies for different markets:
Targeted observation of a small number of customer vehicles in real operation and statistical validation of the results can help transfer failure rates to new markets or newly introduced components.
Individual stress characteristics which are collected and evaluated before the market launch can make preliminary calculations of failure rates even more precise. This makes it possible to reduce engineering times and costs, as well as the decision making arena .
Validation of component releases:
A direct comparison of component requirements under operating conditions during the customer utilization phase makes it easier to validate a component release. If the load spectrum of the 99 % customer is defined at the beginning of the development phase, an iterative product development process can be influenced decisively in terms of cost and market requirements.