Driving a Safer Future
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Don’t miss Marvell at IEEE SA Ethernet & IP Automotive Technology Week
Self-Diagnosis for In-Vehicle Networks
Ramin Farjadrad, Dance Wu
September 15, 3:30-4:00 p.m. CEST/6:30-7:00 a.m. PT
Abstract:
Safety and reliability of Ethernet networks have always been an important piece of the network requirements. The importance of such safety requirements grows significantly by many folds for in-vehicle networks that are the neural backbone of the autonomous cars. A defect or failure in a critical link of the network that disrupts communications between the sensors and the central autonomous control system can lead to life threatening situations. Of course, in-vehicle networks must meet tight ASIL requirement to be qualified for use in autonomous cars. A dominant example of such tight ASIL requirements is use of redundancy in all critical links, when a failure in one critical network link, triggers re-routing of data stream through another network path.
Once a link in the network fails, at the very minimum, the vehicle needs to have a self-diagnosis system with the ability to locate the failure. However, to be able to properly resolve the failure, an ideal self-diagnosis system should be able to identify the nature of the failure, identifying if the failure was a problem in the PHY chip or the cabling, and if cabling which segment of the cabling. Without the latter capability, the human interaction to diagnose and identify each problem can be significant, and sometimes not practical.
This presentation discusses the self-diagnosis methods and techniques that can be implemented as part of the Ethernet network to simplify identifying and resolving the defects/failures with minimal efforts.
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