AI in Automotive Engineering for Enhanced Products and Processes

Artificial intelligence is revolutionizing the automotive industry, not just in the final products but also in the engineering processes themselves. This article examines how AI is being harnessed to drive innovation, from image processing and voice control to predictive maintenance and digital twins. It highlights the challenges companies face in managing data, ensuring confidentiality, and integrating AI solutions effectively. The article introduces FEV's systems engineering solution, Cube, which provides a structured framework for AI use cases, ensuring clear context and dependencies. Additionally, it presents the GenAiHub, a centrally managed platform for secure data management and efficient AI deployment. The article also delves into three specific use cases: AI-driven requirements engineering, hybrid modeling for complex propulsion systems, and the use of small language models for in-car HMI personalization. These examples illustrate the potential of AI to enhance both engineering processes and automotive products, offering significant efficiency gains and new business opportunities. By adopting a systematic approach, companies can overcome the challenges of scattered AI initiatives and fully leverage the power of AI in the automotive sector.