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.
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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.
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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),
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