Leveraging modeFRONTIER software and AI for agile vehicle development: a case study on 1D frontal crash modeling

This talk presents a pioneering approach to streamline vehicle development processes through the integration of modeFRONTIER software and Artificial Intelligence (AI). The focus lies on the creation of a 1D frontal crash model application tailored for non-expert CAE users, enabling rapid manual or automatic optimization and identification of high-reward development opportunities. By utilizing this application, automotive engineers can efficiently set up compatible frontal crash targets for vehicles, enhancing safety standards and ensuring compliance with regulatory requirements.

Moreover, the paper explores the synergy between AI integration and agile methodologies in vehicle development. The amalgamation of AI-driven processes and agile practices not only enhances safety but also augments efficiency, improves customer experience, and accelerates delivery timelines. This transformative approach not only fosters innovation but also establishes a competitive advantage for Jaguar Land Rover (JLR) in the automotive industry. Through real-world case studies and empirical evidence, this paper underscores the pivotal role of AI-driven solutions and agile methodologies in advancing vehicle development paradigms towards greater safety, efficiency, and innovation.