Publication

Abstract : In automotive industry the role of electronic system becomes phenomenal. The complexity of the system increases to a larger extend now a days, and hence the diagnostics is also very much essential. The diagnostics can be mainly done in sensors/actuators, processors and on communication medium. Here, we have presented a fault detection system using fuzzy logic for the CAN (Controller Area Network). Whenever a fault occurred in the CAN, a Diagnostic Trouble Code (DTC) corresponding to that fault is recorded in an ECU (Electronic Controlled Unit) which is capable of detecting distinct faults only. In this paper we have proposed a prototype of an ECU using MicroAutoBox - II hardware, with a CAN interface to detect faults induced into the network. Fuzzy engine within the ECU is capable of identifying the faults based on the number of error frames (E f ), ranges from 0-80 as well as change in differential bus resistance (R diff(total) ). The validation is done based on the rule created in the fuzzy system.