Automobile endurance load data processing method and device for market users

Abstract

The invention discloses an automobile endurance load data processing method and device for market users, and the method comprises the steps: defining key endurance load signals of new energy automobile market user data, and taking a motor driving system assembly as an example, introducing the selection and basis of the endurance load signals; the method comprises the following steps: defining sub-working condition fragments of market user durable load signals, and taking a motor driving system assembly as an example, introducing algorithms for compressing and cutting market user durable load data into sub-working conditions in details in the proposal; clustering operation is carried out based on the market user endurance load data sub working condition fragments, a mean vector and a covariance matrix of a probability density function of the market user endurance load data are solved based on a multi-step iteration method, and dispersion distances from different sub working conditions to a center working condition are calculated based on the mean vector and the covariance matrix; and multi-step iteration is carried out based on the dispersion distance, so that a market user endurance load data sub-working condition fragment set is generated through clustering and is used for guiding formulation of a finished automobile and rack endurance test specification of an automobile.

Description

technical field [0001] The invention relates to the technical field of automobile durability, and in particular, to a method and device for processing durable load data of automobiles for market users. Background technique [0002] The durability test verification of automobiles is generally formulated according to the development experience of the OEM, or the use of users is investigated according to the questionnaires of market users. However, the durability test of the car is actually inseparable from the development process of the OEM and the actual usage of the user. [0003] That is to say, the results of the vehicle durability test verification in the related technologies are one-sided, and only rely on the development experience of the OEM, or only rely on the user experience collected from the user's use process in the questionnaire to implement the vehicle durability test. As a result, the accuracy of the vehicle durability test is low, and the optimal balance bet...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application solves the technical problem of the one-sidedness and low accuracy of the test results of the automobile durability test in the prior art by providing a method and device for processing the data of the automobile endurance load of market users, and realizes the actual use combined with the user Working conditions, to obtain the user's car working condition data during use, to improve the comprehensiveness of the car durability test and the technical effect of verifying the accuracy

Images