面向多工况振动抑制的轮毂电驱动系统联轴器参数匹配优化

刘越; 席军强; 倪肖杨

doi:10.12382/bgxb.2025.0964

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面向多工况振动抑制的轮毂电驱动系统联轴器参数匹配优化

更新时间：2026-05-05

- 面向多工况振动抑制的轮毂电驱动系统联轴器参数匹配优化
- Parameter Matching Optimization of Coupling for Hub Electric Drive Oriented to Multi-Condition Vibration Suppression
- 兵工学报 2026年
- 作者机构：
  
  1. 北京理工大学机械与车辆学院,北京,100081
  2. 中国北方车辆研究所,北京,100072
- 作者简介：
- 基金信息：
  
  科工局基础产品创新科研项目(DEDP2023010)
- DOI：10.12382/bgxb.2025.0964
  中图分类号： U463.2
- 收稿：2025-10-28，
  
  网络首发：2026-05-05，
- 稿件说明：
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刘越，席军强，倪肖杨. 面向多工况振动抑制的轮毂电驱动系统联轴器参数匹配优化[J/OL]. 兵工学报, 2026(2026-05-05). https://doi.org/10.12382/bgxb.2025.0964.

LIU Y, XI J Q, NI X Y. Parameter matching optimization of coupling for hub electric drive oriented to multi-condition vibration suppression[J/OL]. Acta Armamentarii, 2026(2026-05-05). https://doi.org/10.12382/bgxb.2025.0964. (in Chinese)
刘越，席军强，倪肖杨. 面向多工况振动抑制的轮毂电驱动系统联轴器参数匹配优化[J/OL]. 兵工学报, 2026(2026-05-05). https://doi.org/10.12382/bgxb.2025.0964. DOI：

LIU Y, XI J Q, NI X Y. Parameter matching optimization of coupling for hub electric drive oriented to multi-condition vibration suppression[J/OL]. Acta Armamentarii, 2026(2026-05-05). https://doi.org/10.12382/bgxb.2025.0964. (in Chinese) DOI：

摘要

为抑制轮式装甲车辆轮毂电驱动系统在高速机动、越野颠簸、大负荷爬坡等复杂服役工况下的扭转振动并降低输出扭矩波动，提出面向多工况振动抑制的轮毂电驱动系统联轴器参数匹配优化方法。建立考虑齿轮时变啮合刚度的轮毂电驱动系统机电耦合动力学模型，分析系统在高速、越野与爬坡工况下的动态响应特性。以联轴器扭转刚度与阻尼为设计变量、输出扭矩波动最小化为目标，构建基于Kriging代理模型的系统动态特性优化模型。通过单工况贝叶斯优化与多工况NSGA-Ⅱ多目标优化，得到联轴器最优参数匹配方案。通过振动台架试验验证动力学模型精度。研究结果表明：经多目标优化后，系统在高速、越野及爬坡工况下的输出扭矩波动较优化前分别降低8.69%、29.77%和31.86%，实现了多工况下扭振与扭矩波动的有效抑制。所得结果为分布式驱动车辆轮毂电驱动系统的多工况扭振抑制提供了理论方法依据。

Abstract

To suppress the torsional vibration and reduce the output torque fluctuation of the hub electric drive system in wheeled armored vehicles under complex service conditions such as high-speed maneuvering

off-road bumping and heavy-load climbing

this paper proposes a parameter matching and optimization method for the coupling of the hub electric drive oriented to vibration suppression under multi-conditions.First

an electromechanical coupling dynamics model of the hub driveelectricdrivesystem is established

considering time-varying gear mesh stiffness

and analyzes the dynamic response characteristics under high-speed

off-road

and climbing conditions. Subsequently

with the torsional stiffness and damping of the coupling as design variables and the minimization of output torque fluctuation as the objective

a Kriging surrogate model is constructed for the optimization of the system's dynamic behavior. The optimal coupling parameter set is obtained through single-condition Bayesian optimization andmulti-condition NSGA-II multi-objective optimization. Finally

vibration bench tests validate the established dynamics model. The results show that after multi-objective optimization

the output torque fluctuations under high-speed

off-road

and climbing conditions are reduced by 8.69%

29.77%

and 31.86%

respectively

demonstrating effective torsional vibration suppression and torque stability enhancement across multi-conditions. This study provides a theoretical and methodological foundation for addressingmulti-condition torsional vibration challenges in hub electric drive systems for distributed-drive vehicles.

关键词

Keywords

references

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