吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 354-359.doi: 10.13229/j.cnki.jdxbgxb201602004

• 论文 • 上一篇    下一篇

模糊逻辑在混合动力汽车电机故障检测中的应用

宋大凤1, 李广含1, 张琳1, 潘冰2, 曾小华1, 彭宇君3, 王庆年1   

  1. 1.吉林大学 汽车仿真与控制国家重点实验室,长春 130022;
    2.东营市纺织纤维检验所,山东 东营 257000;
    3.一汽-大众汽车有限公司,长春 130011
  • 收稿日期:2014-10-27 出版日期:2016-02-20 发布日期:2016-02-20
  • 通讯作者: 曾小华(1977-),男,教授,博士生导师.研究方向:混合动力汽车关键技术.E-mail:zeng.xiaohua@126.com E-mail:songdf@126.com
  • 作者简介:宋大凤(1977-),女,副教授,博士.研究方向:车辆地面力学与底盘电子集成控制.E-mail:songdf@126.com
  • 基金资助:
    国家自然科学基金项目(51305155,51575221)

Application of fuzzy mathematics in fault diagnosis of motor of hybrid vehicle

SONG Da-feng1, LI Guang-han1, ZHANG Lin1, PAN Bing2, ZENG Xiao-hua1, PENG Yu-jun3, WANG Qing-nian1   

  1. 1.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2.Dongying Textile Fiber Inspection Board, Dongying 257000, China;
    3.FAW Volkswagen,Changchun 130011, China
  • Received:2014-10-27 Online:2016-02-20 Published:2016-02-20

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摘要： 为及时,准确地检测出混合动力汽车驱动电机的响应故障并判断电机响应故障的等级,本文将模糊逻辑算法引入电机的响应故障诊断中,在综合考虑电机转速和负荷的前提下,分析了利用模糊逻辑求解电机负荷差值门限值的原理,并说明了如何依据得到的门限值判别出故障的等级.同时,根据输入信号和输出信号的特点建立了各变量的隶属函数数学模型,提出了电机的响应故障模糊诊断综合评判原则.在此基础上,利用MATLAB/SIMULINK 搭建了电机故障检测模型,仿真结果表明:负荷差值门限值的变化趋势与预期分析一致,所建模型能够有效地检测出电机的响应故障.

关键词: 车辆工程, 混合动力, 电机故障, 故障诊断, 模糊逻辑, 隶属度函数

Abstract: In order to accurately detect the faults of motor response of hybrid vehicle and determine the fault degree in time, the fuzzy logic arithmetic was introduced to the fault detection. The method to obtain the threshold of motor load difference value was analyzed on the promise of considering the influences of the motor speed and the load. The motor working status was illustrated based on the threshold. According to the characteristics of the input and output signals, the membership function of the variables was established. The evaluation principle based on fuzzy logic was proposed, and a motor fault diagnosing model was built in Matlab/Simulink. Simulation results verify the accuracy and practicality of the model.

Key words: vehicle engineering, hybrid vehicles, motor faults, fault diagnosis, fuzzy logic, membership function

中图分类号: 

  • U469.7
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