Optimization method and device for improving vehicle fault diagnosis robustness

Abstract

The invention relates to an optimization method and device for improving vehicle fault diagnosis robustness, and the method comprises the steps: extracting a fault monitoring value of a vehicle in a current driving cycle process through an ECU, and setting a limit range for each fault monitoring in advance; judging the monitoring value of the fault and a fault threshold value, judging that the fault occurs when the monitoring value is greater than or smaller than a set fault threshold value, and calculating a difference value between the monitoring value and the fault threshold value; calculating the proportion value of the difference value relative to the limit range, and taking the proportion value as the basis of data statistics; calculating an average value and a variance of the proportion values, and taking the average value and the variance as the basis of data statistics; and the diagnostic instrument calls the calculated proportion value and the average value and variance thereof to correct a fault threshold value, so that fault diagnosis robustness optimization is realized. Compared with the prior art, the method has the advantages that a data acquisition instrument does not need to be arranged, cost is saved, time and labor are saved, and diagnosis robustness can be further enhanced.

Description

technical field [0001] The invention relates to the technical field of on-board diagnostic systems, in particular to an optimization method and device for improving the robustness of vehicle fault diagnosis. Background technique [0002] The diagnosis function is an essential function of the vehicle controller. For the DEC-ECU such as the transmission controller, it is also necessary to comply with the OBD regulations; the fault monitoring function is an important part of the diagnosis. It operates in advanced mode and reminds the driver in time through the instrument warning to ensure driving safety. In the actual use of vehicles, due to the influence of multiple factors such as the consistency of parts production, vehicle operating environment, and operating conditions, there will be certain fault false alarms and false alarms in the OBD system, so robustness is the focus of fault monitoring. It is also a difficult point. Avoiding misdiagnosis and missed diagnosis is of g...

AI Technical Summary

Problems solved by technology

[0005] 1. Data statistics require sufficient sample size, so it is necessary to configure data acquisition instruments on a large number of test vehicles, which requires a large amount of equipment and also requires the operating level of test personnel;

[0006] 2. The test data needs to be collected and processed by special engineers on a regular basis. The test vehicles are difficult to control and the huge amount of data is time-consuming and labor-intensive to process.

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