CAN network analysis — Optimization, health prediction and diagnosis

Electronics in automotive industry is ever increasing to enable complex features in the machines, which in turn increases the communication between multiple Electronic Control Units in the vehicle. This increased communication necessitates a very robust and deterministic network. This paper focuses and various methodologies of network modeling and simulation to predict the health of the network. This paper will also detail case studies involving Rate monotonic analysis (RMA) as a simulation method to schedule communication massage table to evaluate the network definition through parameters like repetition rate, priority, etc. This validates the deterministic nature of the bus. This paper will also cover aspects of network diagnosis through replaying vehicle communication network logs to ascertain network behavior against design expectations. The paper discusses the following aspects of the CAN network. 1. Network Health. 2. Network Optimization 3. Offline diagnosis.