汽车工程 ›› 2019, Vol. 41 ›› Issue (2): 184-190.doi: 10.19562/j.chinasae.qcgc.2019.02.010

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发动机起动引起的混合动力汽车振动分析与控制*

王博1, 张振东1, 于海生2, 程辉军3, 王晨4   

  1. 1.上海理工大学汽车工程研究所,上海 200093;
    2.上海交通大学国家汽车电子工程实验室,上海 200240;
    3.科力远混合动力技术有限公司,上海 201501;
    4.同济大学汽车学院,上海 201804
  • 收稿日期:2017-11-20 出版日期:2019-02-25 发布日期:2019-02-25
  • 通讯作者: 张振东,教授,E-mail:usstzzd@126.com
  • 基金资助:
    国家高技术研究发展计划项目(2011AA11A20)资助

Analysis and Control on Vibration Resulted from Engine Start of Hybrid Electric Vehicle

Wang Bo1, Zhang Zhendong1, Yu Haisheng2, Cheng Huijun3, Wang Chen4   

  1. 1.Institute of Automotive Engineering, University of Shanghai for Science and Technology, Shanghai 200093;
    2.State Laboratory of Automotive Electronics Engineering, Shanghai Jiao Tong University, Shanghai 200240;
    3.Corun Hybrid System Technology Co., Ltd., Shanghai 201501;
    4.School of Automotive Studies, Tongji University, Shanghai 201804
  • Received:2017-11-20 Online:2019-02-25 Published:2019-02-25

摘要: 针对搭载了某新型功率分流机构的混合动力车辆在发动机点火瞬间车身抖动的问题,开展了试验研究和数据分析。建立了传动系统振动模型,分析了系统的激励源和传递路径。在不改变悬置悬架类型和动力传递系统固有特性的前提下,采用减弱激励源的方法进行优化,重点分析了影响发动机输出转矩的因素,推导了发动机输出转矩的计算公式,给定了目标优化转矩曲线,使用粒子群算法求出了点火瞬间发动机转矩的优化控制参数,最后在实车上验证了方法的有效性。

关键词: 功率分流, 点火, 抖动, 混合动力, 粒子群

Abstract: To solve the problem of body wobbling of a hybrid electric vehicle with a new power splitting mechanism at the moment of engine ignition, experimental research and data analysis are carried out. The vibration model of transmission system is established, and the excitation source and transmission path of the system are analyzed. Without changing the type of suspension and the inherent characteristics of power transmission system, the method of reducing the excitation source is adopted to optimize the engine output torque. Based on analysis of the factors affecting the engine output torque, the calculation formula of the engine output torque is deduced and the target optimal torque curve is given. Then the optimal control parameters of the engine torque at the moment of ignition are obtained by using particle swarm optimization algorithm. Finally, the effectiveness of the method is verified on the real vehicle

Key words: power-split, ignition, wobbling, hybrid, particle swarm