Innovations in system simulation and AI/ML applications in CAE – FISITA


Laurent Di Valentin, Enric Aramburu, and Ernesto Mottola, representing the FISITA Digitalisation Expert Group, consider recent developments in system simulation, and the artificial intelligence and machine learning applications that are shaping the future of computer aided engineering. 

System simulation, and the use of artificial intelligence (AI) and machine learning (ML) applications in computer-aided engineering (CAE), are two topics which have introduced new and evolving complexities and technological advancements in the automotive industry. To address these critical topics, the FISITA Digitalisation Expert Group is developing two white papers which explore real-world and potential applications, and discuss considerations for engineering teams considering the adoption of these technologies in their work. 

The shift towards software-defined vehicles and the role of system simulation 

The rapid evolution of software-defined vehicle (SDV) technology is introducing a significant transformation in the global automotive industry. This shift is driven by the increasing integration of embedded electronics and software, which are becoming key value elements in modern vehicles. Today’s vehicles are increasingly software-driven, requiring the creation of cohesive hardware/software platforms that integrate all vehicle systems. This transition is particularly evident in electric vehicles, advanced driver-assistance system (ADAS), and connected technologies, where the “experience” often takes precedence in customer choice criteria. 

Given this shift, system simulation has become a cornerstone in the automotive industry. It allows for the virtual development, testing, and validation of vehicle components and systems before physical prototypes are built. This capability significantly reduces development time and costs, enabling engineers to identify potential issues early in the design process. For automakers and automotive suppliers, system simulation provides a competitive edge by optimising vehicle performance, safety, and efficiency, which are critical in the highly competitive automotive market. 



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