What is it about?

Megatrends such as Highly Automated Driving (HAD) (SAE >= Level-3), electrification, and connectivity are reshaping the automotive industry. To cope with the ongoing advances, new Electric/Electronic (E/E) architecture patterns are emerging in the sector, distributing the vehicle functions across several processing devices and enhancing the connectivity between them via Ethernet-based networks. In this work, we propose a methodology to design and explore optimal next-gen automotive E/E architectures capable of handling the megatrends according to safety, performance, and cost objectives.

Featured Image

Why is it important?

This work's novelty lies in an MBSE framework supporting the synthesis of fail-operational integrated automotive E/E architectures in the early stages of the automotive system development processes. The work is relevant for Original Equipment Manufacturers (OEMs), Tier1s suppliers, and researchers willing to evaluate the trade-offs arising in the design of next-gen automotive E/E architectures.

Read the Original

This page is a summary of: Multi-Objective Optimization for Safety-Related Available E/E Architectures Scoping Highly Automated Driving Vehicles, ACM Transactions on Design Automation of Electronic Systems, March 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3582004.
You can read the full text:



The following have contributed to this page