Connected Car Challenges Digital Loop

摘要

As in many other industries, the automotive sector is facing challenges related to the development, validation, and homologation of the growing number of digital and networked products. Previously based on standards and the classic V-model, software-based automated systems now require data-driven as well as iterative and agile development methods, as dSpace, T-Systems and TUV Nord describe. More than ever before, selling a traditionally discrete product also involves rendering regular services for the operation, maintenance, and continued development of vehicle systems that have already been delivered. Due to the growing range of functions in modern vehicles and the resulting complexity of the E/E architectures, the number of software updates for vehicles in operation will continue to increase. This increasing overlap between various phases and their further development within the product life cycle poses a great challenge for car manufacturers. Mastering this challenge requires innovative approaches for the continued advancement of highly complex digital systems. Achieving highly automated driving is a prime example of this. In this case, the car as a physical product takes a backseat and is replaced by a cyber-physical system, which is called an Automated Driving System (ADS) by leading standardization committees such as the Society of Automotive Engineers (SAE). A significant change resonates in this name: Although modern vehicles already represent highly complex systems, they are self-contained to a great extent and are therefore perceived as a clearly delineated unit after being produced. In contrast, an ADS is a much more open and modifiable system, which can sometimes be part of a networked or distributed system. An ADS is a key component of its environment and must be able to perceive the surrounding objects on its own. It has to estimate their reactions and movements in real time in order to respond independently within the scope of its defined limits and targets.