面向能量管理策略开发的混合动力汽车仿真模型
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  • 英文篇名:Hybrid Electric Vehicle Simulation Model for Energy Management Strategy
  • 作者:南涛 ; 纪淑玲
  • 关键词:混合动力汽车 ; 能量管理策略 ; 能耗特性 ; 遗传算法优化
  • 英文关键词:hybrid electric vehicle;;energy management strategy;;energy consumption characteristic;;genetic algorithm optimization
  • 中文刊名:JDTH
  • 英文刊名:Mechatronics
  • 机构:上海汽车集团股份有限公司商用车技术中心;
  • 出版日期:2018-07-15
  • 出版单位:机电一体化
  • 年:2018
  • 期:v.24
  • 语种:中文;
  • 页:JDTH201807005
  • 页数:9
  • CN:07
  • ISSN:31-1714/TM
  • 分类号:29-36+49
摘要
以经验建模为主、理论建模为辅的建模方法建立了混合动力系统动力部件模型,搭建了实车用基于逻辑门限的能量管理策略,基于MATLAB/Simulink仿真平台搭建了混合动力汽车仿真模型,通过实车试验对仿真模型进行了验证。在此基础上,采用了遗传算法对逻辑门限参数进行了优化,在NEDC工况下车辆的燃油经济性可提高5.88%。所开发的混合动力汽车仿真模型可反映实车的能耗特性,可用于能量管理策略的开发与优化,提高混合动力汽车的开发效率。
        In this paper,the power component models of hybrid electric powertrain are established by empirical modeling and theoretical modeling. The energy management strategy based on logic threshold is built.The hybrid electric vehicle simulation model is built based on MATLAB/Simulink. The simulation model was verified by real vehicle test. On this basis,the genetic algorithm is used to optimize the logic threshold parameters,and the fuel economy of the vehicle can be improved by 5.88% in NEDC. The developed hybrid electric vehicle simulation model can reflect the energy consumption characteristics of the real vehicle,and can be utilized for the development and optimization of the energy management strategy,which can improve the development efficiency of the hybrid electric vehicle.
引文
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