Vehicle engine oil service life real-time prediction method and device

Abstract

The invention relates to a vehicle engine oil service life real-time prediction method and device, and relates to the technical field of automobiles. The method comprises the following steps that the historical over-limit frequency of the engine oil pressure, the historical over-limit frequency of the engine oil temperature and the historical over-limit frequency of the engine oil water content are obtained; the real-time viscosity of engine oil is monitored, and a real-time viscosity ratio is calculated according to the real-time viscosity of the engine oil and the initial viscosity of the engine oil; and the remaining life of the engine oil is calculated according to the historical over-limit time of the engine oil pressure, the historical over-limit time of the engine oil temperature, the historical over-limit time of the engine oil water content, the real-time viscosity ratio, the upper limit value of the engine oil viscosity ratio, the lower limit value of the engine oil viscosity ratio, the engine oil replacement mileage and the engine oil running mileage. According to the vehicle engine oil service life real-time prediction method and device, the engine oil viscosity is monitored, the historical conditions of various types of data of the engine oil are recorded, multiple factors are comprehensively evaluated, the service life of the vehicle engine oil is reasonably predicted, and the advantages of the low cost, the operation convenience and the high accuracy are achieved.

Description

technical field [0001] The present application relates to the technical field of automobiles, in particular to a method and device for real-time prediction of vehicle engine oil life. Background technique [0002] At this stage, in order to ensure that the engine can perform normal daily work, the engine oil needs to be replaced regularly, and in the engine oil replacement work, it is necessary to predict the life of the oil. The following three methods are generally used for oil life prediction: [0003] The engine oil replacement mileage or time is determined for specific extreme working conditions, but the engine oil service life curves, that is, the use time and mileage accumulation curves, are different in different configurations of the same engine model or the same configuration of the same engine model under different working conditions. Therefore, the service life of engine oil determined based on a single specific extreme working condition may be shorter than the a...

AI Technical Summary

Problems solved by technology

Therefore, the service life of engine oil determined based on a single specific extreme working condition may be shorter than the actual service life of most vehicles, resulting in waste of engine oil, increased vehicle maintenance costs, increased waste oil treatment costs, and increased risk of environmental pollution.

In addition, under some very severe working conditions or bad driving behaviors, the actual life of the engine oil is shorter than the life of the oil determined for the specific extreme working conditions, and excessive wear of the engine parts and its life may be shortened in the middle and late stages of the use of the oil. Poor fuel economy, with potentially catastrophic consequences

[0004] The decay degree of each performance index of the engine oil is measured, but this method is expensive and time-consuming, and its application in ordinary users is limited.

[0005] Calculate the oil viscosity by a single factor, and then predict the oil life, but this method considers a single factor, and the prediction accuracy is poor

[0006] It can be seen that there is currently a lack of an automobile engine oil life prediction method that is easy to operate, high in accuracy and low in implementation cost.

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