Research on Fault Self-Diagnosis of Automobile Electronic Control System Based on Data Flow Analysis

Abstract

Electronic control systems are widely used in modern automobiles, which greatly improves the power, safety, fuel
economy and emission of automobiles, and at the same time, greatly improves the driving comfort of automobiles.
However, it also makes the system more complex, and the fault diagnosis of maintenance personnel sometimes
becomes extremely difficult. The development and application of automobile fault self-diagnosis system provides
convenience for automobile drivers and maintenance personnel to find and eliminate faults in time. At present,
most of the new automobile diagnostic equipments provide data stream reading function. Through the dynamic
monitoring of electric signals in automobile running, the dynamic data are arranged and compared, so as to
determine the causes and positions of faults. Using the dynamic data flow function of the fault diagnosis
instrument, the dynamic data of the input and output signals of various sensors and actuators in the automobile
electronic control system can be read out. This paper introduces the method of fault diagnosis of automobile
electronic control system by using data stream, and explains the important role of data stream analysis in fault
diagnosis of electronically controlled automobile.