Development and Application on Reliability Test Conditions of Electric Drive Axle Based on Big Data
The analysis and research of vehicle operation data based on user usage scenarios is the basis for constructing the reliability test conditions of electric drive axles.Firstly,based on the big data,the driving data of the real users are acquired,and the typical user usage characteristics are defined through statistical analysis of the weight ratio,road type,mileage and duration of driving in different scenarios.Based on the user usage profile,signals are collected such as torque and speed of the real vehicle motor in typical areas,and then Monte Carlo method is applied to fit the damage distribution under a large sample users.And the pseudo-damage target of the equivalent user's whole life cycle is got through mileage extrapolation.Finally,the reliability testing conditions of the test bench are obtained through damage equivalent acceleration processing.Designers can directly evaluate whether the electric drive axle meets the mileage design goal based on the test results of the test bench.The research results provide a reference for the development of bench reliability test specifications of electric drive axles.
big datapseudo damageelectric drive axlereliability
NETL
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万方数据
