• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2026, Vol. 62 ›› Issue (8): 398-409.doi: 10.3901/JME.260316

• 特邀专辑:汽车线控底盘 • 上一篇    下一篇

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多模式混合动力汽车扭矩分配及切换品质优化控制研究

金智林, 高峥恒   

  1. 南京航空航天大学车辆工程系 南京 210016
  • 收稿日期:2025-05-23 修回日期:2025-10-20 出版日期:2026-04-20 发布日期:2026-06-12
  • 作者简介:金智林,男,1978年出生,副教授。主要研究方向为车辆动力学与控制。E-mail:jinzhilin@nuaa.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(51775269)。

Research on Torque Distribution and Switching Quality Optimization Control of Multi-mode HEV

JIN Zhilin, GAO Zhengheng   

  1. Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016
  • Received:2025-05-23 Revised:2025-10-20 Online:2026-04-20 Published:2026-06-12

摘要: 为改进混合动力汽车(Hybrid electric vehicle,HEV)多模式驱动的切换品质,提出基于扭矩分配的多模式切换品质优化控制策略。考虑离合器滑磨因素影响建立HEV多模式驱动系统动力学模型及模式切换品质评价指标。分析HEV多模式驱动切换条件,理论计算各驱动模式及切换过程目标扭矩。基于切换过程目标扭矩设计离合器分层油压模糊控制策略,上层模糊算法规划离合器的理想油压,下层模糊PID控制离合器的实际油压。融合各驱动模式的目标扭矩研究电机动态扭矩补偿策略,补偿离合器滑磨及发动机滞后扭矩。设计驱动模式切换品质多目标模糊优化方法输出最优离合器油压。选取四种标准测试工况进行实例仿真,结果表明提出的控制策略可保障HEV良好动力性和平顺性,有效抑制驱动模式切换的冲击度、减轻离合器滑磨,提高驱动模式切换品质。

关键词: 混合动力汽车, 多模式切换品质, 扭矩分配, 扭矩补偿, 模糊优化控制

Abstract: To improve the switching quality of multi-mode hybrid electric vehicle(HEV), an optimization control strategy for multi-mode switching quality based on torque distribution is proposed. A dynamic model of the HEV multi-mode powertrain system is established, taking into account the influence of clutch friction work, along with evaluation indices for switching quality. The switching conditions of multi-mode driving are analyzed, and target torque profiles for each driving mode and transition process are theoretically calculated. A hierarchical fuzzy control strategy for clutch hydraulic pressure is designed based on the target torque during switching. The upper-level fuzzy algorithm determines the desired clutch pressure, while the lower-level fuzzy PID controller tracks the actual pressure. A dynamic motor torque compensation strategy is developed based on the target torque of each driving mode to compensate for clutch friction work and engine torque lag. A multi-objective fuzzy optimization method is employed to determine the optimal clutch hydraulic pressure to enhance switching quality. Four standard driving cycles are selected for simulation. Results demonstrate that the proposed control strategy ensures both power performance and driving smoothness, effectively suppresses jerk, reduces clutch friction, and improves the overall quality of driving mode switching.

Key words: HEV, multi-mode switching quality, torque distribution, torque compensation, fuzzy optimization control

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