Vehicle fault information analysis method, device and system

Abstract

The invention provides a vehicle fault information analysis method, device and system. The method comprises diagnosis data of a vehicle controller is obtained; the diagnosis data is analyzed to obtaina diagnosis fault code; and according to the diagnosis fault code and pre-established correspondence between diagnosis fault codes and fault information, fault information is determined. Thus, the vehicle fault information is read and analyzed automatically, obtained data is more comprehensive, and the analysis efficiency is higher.

Description

technical field [0001] The invention relates to the technical field of vehicle fault diagnosis, in particular to a method, device and system for analyzing vehicle fault information. Background technique [0002] In the three-dimensional diagnostic system of the vehicle, the vehicle controller performs fault diagnosis record processing, and transmits the processed information to the external diagnostic equipment through diagnostic communication for analysis by the staff; however, due to the lag in the development of diagnostic equipment, in The diagnostic test in the model development stage often needs to read the fault data of the vehicle controller manually through the CANoe software, which is inefficient; and because the time parameters of some diagnostic processes are defined at the millisecond level, manual methods are difficult to implement, resulting in many faults Data cannot be read and parsed manually. [0003] Aiming at the problem that it is difficult to comprehe...

AI Technical Summary

Problems solved by technology

[0002] In the three-dimensional diagnostic system of the vehicle, the vehicle controller performs fault diagnosis record processing, and transmits the processed information to the external diagnostic equipment through diagnostic communication for analysis by the staff; however, due to the lag in the development of diagnostic equipment, in The diagnostic test in the model development stage often needs to read the fault data of the vehicle controller manually through the CANoe software, which is inefficient; and because the time parameters of some diagnostic processes are defined at the millisecond level, manual methods are difficult to implement, resulting in many faults Data cannot be read and parsed manually

[0003] Aiming at the above-mentioned manual method, it is difficult to fully read and analyze the fault data of the vehicle controller, resulting in low efficiency, and no effective solution has been proposed

Images