Research on Rapid Construction Method of Reliability Target Load for Electric Drive System Based on Vehicle State Parameter Optimization  
Author Zhen Wang


Co-Author(s) Sicheng Deng; Songlin Zheng; Lihui Zhao; Dongdong Zhang; Shuo Weng


Abstract The reliability target load is a critical factor in developing vehicle reliability assessment and fatigue life prediction. However, the varying driving behaviors and road conditions pose challenges for accurate load estimation. In this paper, we propose a fast method for constructing the reliability target load of the electric drive system using user's historical run data, combined with vehicle dynamics simulation and parameter optimization. To overcome challenges in obtaining accurate road slope and vehicle mass data, we optimize equivalent parameters to enhance the accuracy of load simulation for the electric drive system. Multi-objective optimization is employed to obtain an equivalent unified solution for a group of user model parameters, targeting a 95% user damage level. The validity of the reliability target load of the electric drive system is verified through comparison between vehicle dynamics simulation and actual user load in the time and damage domains. Our results reveal an error between the unified parameter obtained in this paper, its simulation load, and the 95-th percentile user's damage is only 0.74%, providing technical support for the effective development of electric drive system reliability evaluation, and a valuable reference for the construction of reliability target loads for the entire vehicle and other systems.


Keywords reliability target load, electric drive system, dynamics simulation, multi-objective optimization
    Article #:  RQD28-23

Proceedings of 28th ISSAT International Conference on Reliability & Quality in Design
August 3-5, 2023