Managing future Crash Testing Requirements

• Full Scale BEV Testing - Requirements for Facilities and Equipment
• Battery Impact Testing for new load cases e.g. Scrape Test
• Automatic dummy calibration
• Universal ATD for forward and rearward facing impacts
• Challenges to Sleds due increased weight of AV seats

• Working principle and control system architecture
• Why using this technology? The advantages.
• Technical features and results
• Applications: battery testing and pedestrian and occupant protection testing

• AEB (Autonomous Emergency Braking)
• Dynamic Yawing
• 8800ML-Retrofit, CrashSim xDT (with Optimized System Model & 10kHz)
• Optimized 4th Stage

Intelligent Testing of ADAS and Automation Functions

• Test Management for complex scenarios
• Proving Ground management
• Solutions for night, rain, fog and cold weather scenarios
• New soft targets for international load cases
• New requirements for road user targets
• In-Cabin Monitoring

The past few years have been characterized by the desire to increasingly complete testing of automated vehicles virtually. A large number of simulators are now available and are constantly being further developed in order to represent the vehicles being tested and their environment as accurately as possible. In order to carry out the large scope of tests that are particularly necessary from SAE Level 3, simulators are increasingly no longer operated manually on the desktop, but are viewed as scalable components that can be executed hundreds or thousands of times in parallel in a cloud if necessary. With appropriate automation, a large number of virtual tests can be carried out - but which tests ultimately have to be carried out? Due to the large number of scenarios that automated vehicles have to master, the scenarios to be tested can no longer be specified completely manually and current standards such as ISO 21448 (SOTIF) explicitly mention the topic of sampling - i.e. the targeted parameterization and variation of scenarios. In our presentation we will present a practical example that integrates virtualization, automation and parameterization of scenarios in a consistent toolchain. The users interact with a central component that provides data storage and system analysis. From this component, test campaigns are initiated and their results are collected. The solution for parameterization is designed to be used in scalable environments. The system behavior is taken into account when selecting the scenarios. Depending on the hardware and software version, the tests carried out are aimed at the scenarios relevant to the validation goal. A solution is presented that enables the analysis of different scenarios in a scalable, efficient and targeted manner. The sum of all the data can then provide important information about the behavior of a vehicle and thus enable tests to be focused, for example on test sites. Only through the integration of virtualization, automation and parameterization is data generated that creates evidence for release, for example as part of validation.

• New test equipment for repeatable sensor tests
• Time saving test evaluation with automated plausibility check
• Parallel assessment of complete test campaigns