An Integrated Framework for Topology Design of CAN Networks under Real-Time Constraints

Nowadays, in-vehicle network design has become a difficult challenge due to increased complexity and strict real-time constraints. In this work, we propose an integrated framework for CAN network topology design under real-time constraints. The framework integrates topology design with real-time analysis. It firstly allocates electronic control units (ECU) automatically to one of the CAN buses via integer linear programming (ILP) optimization. Then, the worst case response rate (WCRR) results of real-time analysis are fed back to a weighted ILP optimization to further improve the topology design with respect to a realtime property. A case study using a real message set from automaker validated the effectiveness and scalability of the proposed framework.