Active safety functions, such as emergency braking systems for example, are aimed at avoiding accidents in the first place. Bertrandt has developed the “x-track bus”, a mobile laboratory that can be used to flexibly test active safety functions on any test track and in all kinds of weather conditions.
The development of more driver assistance systems and the trend towards autonomous driving mean that vehicle safety also has to be further developed. Active and passive safety functions can be better interconnected by means of automatisms. For example, an automatically activated emergency braking procedure can simultaneously provide better control of the restraint system. The restraint system can be deployed earlier and in a way that is less stressful for the occupants. Our mobile testing laboratory has enabled us to further improve validation in the testing of automated driving functions as well as vehicle dynamics and brake systems.
Typical testing equipment for active safety
- Cable pull units with articulated pedestrian and cyclist dummies
- Self-propelled platforms with vehicle dummies
- Driving robots
- dGPS systems for the highly accurate location of vehicles
- Measuring equipment for the qualification of vehicle brakes
What is more, the electrification of vehicles results in a change in the types of risks involved, for example due to the larger batteries in accidents. On the other hand, when electric vehicles are designed from scratch, battery housings that integrate functions can be used to stabilise the structure. In addition, less testing is required because fewer engine variants are used. Instead, the focus is shifted towards the validation of the battery.
As more and more assistance and automation functions are introduced, there will be a further significant increase in the complexity of the vehicles and their testing requirements. The number of test variants will increase exponentially, and this will no longer be manageable by using real tests alone. By contrast, the use of virtual testing methods in completely virtual environments will enable the test depth and test breadth to be further increased, thus sensibly limiting the cost and time required for real testing. Thus, the application of virtual methods increases forecast quality.