• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2017, Vol. 53 ›› Issue (14): 68-76.doi: 10.3901/JME.2017.14.068

• 特邀专栏:汽车先进动力系统的设计、优化与控制专栏(上) • 上一篇    下一篇

通过道路并联混合动力车辆的低频纵振主动控制

姜丹娜, 黄英   

  1. 北京理工大学机械与车辆工程学院 北京 100084
  • 收稿日期:2016-09-18 修回日期:2016-12-17 出版日期:2017-07-20 发布日期:2017-07-20
  • 通讯作者: 黄英(通信作者),女,1967年出生,博士,教授,博士研究生导师。主要研究方向为车辆动力传动系统建模,仿真和控制。E-mail:hy111@bit.edu.cn
  • 作者简介:姜丹娜,女,1979年出生,博士研究生。主要研究方向为车辆低频纵振和振动控制。E-mail:jiangjiang_0@163.com
  • 基金资助:
    国家自然科学基金资助项目(51475043)。

Active Control for the Through-the-road Parallel Hybrid Electric Vehicle Low Frequency Longitudinal Vibration

JIANG Danna, HUANG Ying   

  1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100084
  • Received:2016-09-18 Revised:2016-12-17 Online:2017-07-20 Published:2017-07-20

摘要: 过道路并联(Through-the-road parallel,TTRP)混合动力车辆是指将发动机和电动机安装在车辆的不同轴上,通过地面与轮胎间的作用力将动力耦合的混合动力车辆类型。这种类型的混合动力车辆,由于结构的特点在不同的动力模式下存在不同的低频频率特征。车辆的低频纵振是影响车辆舒适性和驾驶性的关键因素之一,因此,车辆的低频纵振必须得到很好的控制。研究这种类型的混合动力车辆在不同动力模式下的特点,针对不同模式建立简化模型,并建立统一的多模型预测控制策略。通过仿真TTRP混合动力车辆在多种动力模式下的特定工况,对设计的多模型预测控制策略进行验证。特定的工况包括急踩、松油门(Tip-in,Tip-out),不同的转矩分配等。仿真结果表明所设计的车辆低频纵振主动控制策略能够较好地抑制TTRP混合动力车辆在各动力模式下的低频纵振,车辆驾驶性得到了较大的提升。

关键词: 低频纵振, 多模型预测控制, 驾驶性, 通过道路并联混合动力车辆

Abstract: Through-the-road parallel (TTRP) hybrid electric vehicle (HEV) is composed of an internal combustion engine (ICE) and an electric motor mounted on the different axles. These two powertrains are coupling through the road-tire force. Because of the special architecture, the low frequency longitudinal vibration of this typology HEV has different vibration character at different power modes. Low frequency longitudinal vibration is one of the key factors of the vehicle drivability. Controlling the vehicle low frequency longitudinal vibration is one way to improve the vehicle drivability. The low frequency longitudinal vibration of TTRP HEV at different power modes is discussed and the simplified model is developed. Based on the simplified model of different power modes, a unified multiple-model predictive controller is designed. In order to evaluate the control effect, multiple power modes are simulated at special maneuver to compare the vehicle acceleration curve with and without controller. These maneuvers include Tip-in, Tip-out with different torque distribution. The results show that the suggested MMPC approach for TTRP HEV has good effect on the drivability improvement.

Key words: drivability, low frequency longitudinal vibration, multiple model predictive control, through-the-road parallel hybrid electric vehicle

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