华南理工大学学报(自然科学版) ›› 2018, Vol. 46 ›› Issue (1): 85-90,111.doi: 10.3969/j.issn.1000-565X.2018.01.011

• 交通运输工程 • 上一篇    下一篇

计及模式切换过程中 CVT 速比跃变的PHEV 综合性能优化

秦大同 刘星源 罗松   

  1. 重庆大学 机械传动国家重点实验室,重庆 400044
  • 收稿日期:2017-03-25 修回日期:2017-06-26 出版日期:2018-01-25 发布日期:2017-12-01
  • 通信作者: 秦大同(1956-),男,博士,教授,主要从事车辆动力传动及其综合控制研究. E-mail:dtqin@cqu.edu.cn
  • 作者简介:秦大同(1956-),男,博士,教授,主要从事车辆动力传动及其综合控制研究.
  • 基金资助:
    国家科技支撑计划项目(2013BAG12B01)

Comprehensive Performance Optimization of PHEV Considering CVT Ratio Jumping in Mode Switching Process

QIN Datong LIU Xingyuan LUO Song   

  1. State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing 400044,China
  • Received:2017-03-25 Revised:2017-06-26 Online:2018-01-25 Published:2017-12-01
  • Contact: 秦大同(1956-),男,博士,教授,主要从事车辆动力传动及其综合控制研究. E-mail:dtqin@cqu.edu.cn
  • About author:秦大同(1956-),男,博士,教授,主要从事车辆动力传动及其综合控制研究.
  • Supported by:
    Supported by the National Key Technology Research and Development Program(2013BAG12B01)

摘要: 针对搭载 CVT 的单电机插电式混合动力汽车,提出一种整车综合性能的优化控制策略. 通过系统效率优化得到各工作模式下的 CVT 目标速比,使整车能耗经济性得到提高;针对不同工作模式切换时由目标速比跃变导致车辆平顺性变差的问题,通过限制CVT 速比变化率来改善车辆行驶平顺性;但这会影响车速对期望车速的跟随. 为此,采用PID 控制器对电机转矩进行补偿,构建由能耗经济性、行驶平顺性及车速跟随性组成的加权函数,基于遗传算法,在 NEDC 工况下对 PID 控制器的控制参数进行优化,并通过对比分析仿真结果对车辆进行多目标综合评价. 仿真结果表明,提出的方法能够有效提升包括能耗经济性、行驶平顺性和车速跟随性的车辆综合性能.

关键词: 插电式混合动力汽车, 经济性, 平顺性, 控制策略, 目标速比, 遗传算法, PID 控制器, 加权函数

Abstract: Aimed at the single motor plug-in hybrid electric vehicle with CVT,an optimal control strategy for vehi-cle comprehensive performance is proposed. The CVT target speed ratio of each working mode is obtained through the optimization of system efficiency so that the vehicle energy consumption is improved. In order to solve the pro-blem of the vehicle ride comfort variation caused by the change of target speed ratio in mode switching,the vehicle ride comfort is adopted for improvement by limiting the change rate of CVT speed ratio,which,however,will pro-duce an effect on the speed of a car in its desired speed following. Therefore,by using PID controller which com-pensates the motor torque,a weighting function formed by the fuel economy,ride comfort and speed following is constructed,the parameters of PID controller based on Genetic Algorithm are optimized under the New Europe Dri-ving Cycle and multi-objective comprehensive evaluation through comparison between and analysis of the simulation results of a vehicle is conducted. The simulation results demonstrate that the method can effectively improve the ve-hicle comprehensive performance,including fuel economy,ride comfort and speed following.

Key words: plug-in hybrid electric vehicle, fuel economy, comfort, control strategy, target speed ratio, Genetic Algorithm, PID controller, weighting function

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