现代制造工程 ›› 2018, Vol. 455 ›› Issue (8): 63-68.doi: 10.16731/j.cnki.1671-3133.2018.08.012

• 企业信息化 • 上一篇    下一篇

增程式电动车神经模糊推理系统能量管理策略研究

李博超1,2,谢金法1,张正奇2,校玲玲3   

  1. 1 河南科技大学车辆与交通工程学院, 洛阳 471000;
    2 中国汽车技术研究中心汽车工程研究院,天津 300000;
    3 郑州日产汽车有限公司, 郑州 450000
  • 出版日期:2018-08-20 发布日期:2018-09-27
  • 作者简介:李博超,硕士研究生,研究方向:新能源汽车能量管理策略。谢金法,博士,教授,硕士生导师,研究方向:现代汽车设计方法、智能交通。E-mail:Bochao_Lee@163.com

Energy management strategy of extended range electric vehicle based on neuro-fuzzy inference system

Li Bochao1,2,Xie Jinfa1,Zhang Zhengqi2,Xiao Lingling3   

  1. 1 School of Vehicle & Traffic Engineering,Henan University of Science and Technology,Luoyang 471000, Henan,China;
    2 Automotive Engineering Research Institute,China Automotive Technology & Research Center,Tianjin 300000,China;
    3 Zhengzhou Nissan Automobile Co.Ltd.,Zhengzhou 450000,China
  • Online:2018-08-20 Published:2018-09-27

摘要: 对增程式电动车控制策略进行分析,提出一种基于自适应神经模糊推理系统的增程式电动车多工作点能量管理策略,结合神经网络和模糊逻辑系统各自的优点,利用神经网络对模糊逻辑系统进行多目标优化,建立模糊神经网络,对多动力源的能量进行合理分配。并在转鼓试验台上进行基于此控制策略的实车验证,经分析,该控制策略有利于节约开发时间,能对整车能量分配进行有效合理地控制,并将增程器工作点有效约束在高效率区,使整车经济性明显改善。

关键词: 增程式电动车, 神经模糊推理, 多工作点, 能量管理策略, 实验分析

Abstract: Based on the analysis of the control strategy of extended range electric vehicle,an energy management strategy based on adaptive neuro-fuzzy inference system for multi operating point of extended range electric vehicle is proposed.This strategy combines the advantages of neural network and fuzzy logic system,and uses the neural network to optimize the fuzzy logic system to establish the fuzzy neural network model that allocate the energy of the multi power source reasonably.After vehicle test based on this strategy in the drum dynamometer bench and verification,the control strategy is helpful to save development time,can effectively control the energy allocation of the vehicle,the work point of extended range divice constrained in the high efficiency area,and improve the vehicle economy significantly.

Key words: extended range electric vehicle, neuro-fuzzy interence, multi operating point, Energy Management Strategy(EMS), experimental analysis

中图分类号: 


版权所有 © 《现代制造工程》编辑部 
地址:北京市东城区东四块玉南街28号 邮编:100061 电话:010-67126028 电子信箱:2645173083@qq.com
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
访问总数:,当日访问:,当前在线: