Study on Loading System Upgrading for Torsional Fatigue Testing of Electric Vehicle Drive Motors Simulating Road Load
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摘要: 目前的驱动电机扭转疲劳试验系统无法实现高精度模拟路面负载加载功能,为了精确开展电动汽车驱动电机扭转疲劳试验,文章以频域迭代自学习控制方法为基础,对现有的电动汽车驱动电机扭转疲劳试验加载系统进行升级,根据扭转疲劳试验加载系统结构原理建立了系统仿真模型并进行仿真,通过采集试验场强化路面负载完成了对升级后的扭转疲劳试验加载系统的试验验证,试验结果表明:改进后的试验系统能够高精度模拟路面负载,具有重要的工程应用价值。Abstract: Currently, the torsional fatigue testing methods of driving motors are no longer able to accurately simulate road load. In order to accurately conduct torsional fatigue tests on electric vehicle drive motors, this article upgrades the existing electric vehicle drive motor torsional fatigue test loading system based on the frequency domain iterative self-learning control method. Based on the structural principle of the torsional fatigue test loading system, a system simulation model is established and simulated. The strengthened road load on the test site is collected, and the upgraded torsional fatigue test loading system is experimentally verified. The results indicate that the improved experimental system can accurately simulate road load and has important engineering application value.
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Keywords:
- drive motor /
- torsional fatigue /
- pavement load /
- frequency domain iteration
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