In-vehicle networks (IVN) in automobiles are being upgraded to build software-defined vehicles (SDV). In particular, 10BASE-T1S allows the connection of multiple nodes, called multi-drop, unlike the one-to-one 100 Mbit and higher in-vehicle Ethernet connections, which present a different set of implementation and testing challenges.

This session will focus on the necessary approaches to the increasing complexity of SDV development, including the exponential growth of development requirements, and how to introduce model-based systems engineering (MBSE), digital technologies, and AI, while looking ahead to the future. The session will also consider the necessary measures to enhance the competitiveness of the Japanese automotive industry from a broad perspective.

The development of next-generation vehicles is becoming more complex with more software. In order to find a path to solving problems and efficiently develop software-defined vehicles (SDVs) that meet user needs, the introduction of technologies such as model-based systems engineering (MBSE), digital technologies, AI, and new in-vehicle architectures must be implemented while looking ahead to the future. In order to do so, we need to focus our efforts now. To achieve this, what are the issues to focus on now and what are the key points to keep in mind?

For example, in the age of SDV, how should we view model-based system development (MBSE), AI, and functional-level architecture? Or, how should SDV system design be done in anticipation of future AI utilization and increased service complexity – how should we proceed with CPU and SoC capacity planning and container technology introduction? How to utilize model-based system development (MBSE), digital technology, and AI for increasingly complex SDV development.