汽车工程 ›› 2023, Vol. 45 ›› Issue (3): 421-429.doi: 10.19562/j.chinasae.qcgc.2023.03.009

所属专题: 新能源汽车技术-电驱动&能量管理2023年

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多行星排转矩定向分配电驱动桥振动特性优化

王军年1,高守林1,杨钫2,管畅洋1,杨志华1()   

  1. 1.吉林大学,汽车仿真与控制国家重点实验室,长春  130025
    2.中国第一汽车集团有限公司新能源开发院,长春  130011
  • 收稿日期:2022-08-23 修回日期:2022-11-07 出版日期:2023-03-25 发布日期:2023-03-22
  • 通讯作者: 杨志华 E-mail:Yzhh83@sohu.com
  • 基金资助:
    国家自然科学基金(52272365);吉林省重大科技专项(20210301023GX);吉林省中青年科技创新创业卓越人才(团队)项目(创新类)资助

Optimization of Vibration Characteristic of an Electric Torque-Vectoring Drive-Axle with Multiple Planetary Gearsets

Junnian Wang1,Shoulin Gao1,Fang Yang2,Changyang Guan1,Zhihua Yang1()   

  1. 1.Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun  130025
    2.New Energy Development Institute of China FAW Group Co. ,Ltd. ,Changchun  130011
  • Received:2022-08-23 Revised:2022-11-07 Online:2023-03-25 Published:2023-03-22
  • Contact: Zhihua Yang E-mail:Yzhh83@sohu.com

摘要:

以提出的一种左右驱动轮转矩可进行受控任意分配的电动汽车新型转矩定向分配(TV)驱动桥为研究对象,对其特有的多组行星齿轮复杂耦合机构在高速工况下会因齿轮系统传递误差激励,导致TV驱动桥系统出现振动噪声影响动态品质问题开展研究。首先在Romax软件中对驱动桥的静力学性能、固有振动频率和系统振动的来源及特性进行分析;其次,建立多工况下综合考虑齿向修形量和齿廓修形量的多目标齿轮微观修形优化函数;最后,分别对比了遗传算法和全因子法的齿形优化效果。研究结果表明:与驱动桥初始设计阶段相比,经过全因子法齿轮微观修形优化后TV驱动桥的承载能力和振动特性得到明显改善。

关键词: 电动汽车, 转矩定向分配, 驱动桥, 振动特性, 齿轮修形

Abstract:

Taking a proposed new type of torque-vectoring (TV) drive-axle of electric vehicles, which can be controlled to realize arbitrary distribution of the driving torque between the left and right drive wheels, as the research object, in the light of its special coupling structure with a multi-group of planetary gearsets, the problem of vibration and noise affecting the dynamic quality of the TV drive-axle system caused by the transmission error excitation of the gear system under the high-speed working condition is studied. Firstly, the static performance, natural vibration frequency, source and characteristics of system vibration of the drive-axle is analyzed by Romax software. Secondly, a multi-objective gear micro-modification optimization function is established, which comprehensively considers the tooth axial modification and the tooth profile modification under multiple working conditions. Finally, the optimization effects of the genetic algorithm and the full factorial method are compared. The results show that compared with the initial design of the drive-axle, the load-bearing capacity and vibration characteristic of TV drive-axle are significantly improved after the optimization of gear micro-modification by full factor method.

Key words: electric vehicle, torque-vectoring, drive-axle, vibration characteristics, gear modification