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汽车发动机失火故障诊断方法研究综述

郑太雄 张瑜 李永福

郑太雄, 张瑜, 李永福. 汽车发动机失火故障诊断方法研究综述. 自动化学报, 2017, 43(4): 509-527. doi: 10.16383/j.aas.2017.c160276
引用本文: 郑太雄, 张瑜, 李永福. 汽车发动机失火故障诊断方法研究综述. 自动化学报, 2017, 43(4): 509-527. doi: 10.16383/j.aas.2017.c160276
ZHENG Tai-Xiong, ZHANG Yu, LI Yong-Fu. Misfire Fault Diagnosis of Automobile Engine: A Review. ACTA AUTOMATICA SINICA, 2017, 43(4): 509-527. doi: 10.16383/j.aas.2017.c160276
Citation: ZHENG Tai-Xiong, ZHANG Yu, LI Yong-Fu. Misfire Fault Diagnosis of Automobile Engine: A Review. ACTA AUTOMATICA SINICA, 2017, 43(4): 509-527. doi: 10.16383/j.aas.2017.c160276

汽车发动机失火故障诊断方法研究综述

doi: 10.16383/j.aas.2017.c160276
基金项目: 

重庆科技人才培养计划 CSTC2014KJRC-QNRC30002

国家自然科学基金 61304197

重庆市自然科学基金 CSTC2014JCYJA60003

重庆市第七届科慧杯研究生创新创业大赛 Chongqing Teaching Research [2015] No.13

国家重点研发计划项目 2016YFB0100906

详细信息
    作者简介:

    郑太雄 重庆邮电大学教授, 博士.主要研究方向为汽车电子.E-mail:zhengtx@cqupt.edu.cn

    张瑜 重庆邮电大学硕士研究生.主要研究方向为汽车发动机失火故障诊断.E-mail:zhangycqupt@163.com

    通讯作者:

    LI Yong-Fu Associate professor at Chongqing University of Posts and Telecommunications. Since 2014 to 2016, Dr. Li has been worked as a post-doctor at Purdue University, USA. His research interest covers connected and autonomous vehicles, intelligent transportation systems, automotive electronics and control theory and application. Corresponding author of this paper

  • 本文责任编委 钟麦英

Misfire Fault Diagnosis of Automobile Engine: A Review

Funds: 

Chongqing Scientific and Technical Talent Project CSTC2014KJRC-QNRC30002

National Natural Science Foundation of China 61304197

Natural Science Foundation of Chongqing CSTC2014JCYJA60003

The Seventh Kehui Cup Innovation & Entrepreneurship Competition for Postgraduate Chongqing Teaching Research [2015] No.13

National Key Research and Development Project 2016YFB0100906

More Information
    Author Bio:

    Ph. D., professor at Chongqing University of Posts and Telecommunications. His main research interest is automotive electronics

    Master student at Chongqing University of Posts and Telecommunications. His main research interest is misfire fault diagnosis of automobile engine

  • 摘要: 失火故障诊断是汽车车载诊断系统(On-board diagnostic,OBD)的重要组成部分,其直接关系到车辆行驶过程中的排放、燃油消耗和发动机损伤.本文对近年来国内外关于失火故障诊断方法的研究工作进行了系统性地总结和分析,重点介绍了汽车发动机失火故障诊断的判别依据、失火诊断方法分类、观测器设计等问题.最后对失火故障诊断的未来发展作了几点展望.
    1)  本文责任编委 钟麦英
  • 图  1  发动机失火故障诊断依据

    Fig.  1  Misfire fault diagnostic basis of automobile engine

    图  2  发动机失火故障诊断依据整体评价

    Fig.  2  Overall evaluation of engine misfire fault diagnostic basis

    图  3  失火故障诊断方法分类

    Fig.  3  Classification of misfire fault diagnosis methods

    图  4  故障数据预处理过程

    Fig.  4  Fault data pretreatment process

    图  5  残差生成过程

    Fig.  5  Residual generating process

    图  6  多传感数据融合失火故障诊断

    Fig.  6  Multiple sensor misfire fault diagnosis based on data fusion

    图  7  结合云平台的失火故障诊断

    Fig.  7  Misfire fault diagnosis combined with cloud platform

    表  1  基于数据的失火故障诊断方法评价

    Table  1  Evaluation of misfire fault diagnosis methods based on data

    特点 优点 缺点
    1) 核心在于数据获取与处理分析数据特征, 寻找失火时的变化规律;
    2) 信号处理有助于提高响应速度和故障诊断的精度;
    3) 多种算法结合增加了计算的复杂度, 但提高了故障诊断精度;
    4) 多缸失火难度较大, 精度难以保证, 有待进一步研究.
    1) 数据获取途径较多, 且较为可靠, 失火故障诊断精度较高;
    2) 此类方法具有很大的延展性, 可应用于发动机不同故障的诊断方案.
    1) 数据量的大小对响应速度影响较大, 且应尽量涵盖所有可能的工况和故障类型, 不利于在线失火故障诊断;
    2) 缺乏对数据本身物理意义的洞察, 且变工况情形使故障诊断精度降低, 实时性变差.
    下载: 导出CSV

    表  2  基于模型的失火故障诊断方法评价

    Table  2  Evaluation of misfire fault diagnosis methods based on model

    特点 优点 缺点
    1) 关键在于寻找具体的物理参数, 通过对参数的跟踪或估计, 以及对参数本身物理意义的理解, 达到失火诊断的目的;
    2) 其过程的实现需得到参数模型与观测器模型之间的残差向量.
    1) 实时性好, 故障诊断精度较高, 有利于在线失火故障诊断的实现;
    2) 提供了一个对参数本身物理意义认知的视野, 有利于对失火故障原因的分析.
    1) 发动机状态复杂性高, 模型本身存在不确定性, 导致系统状态监测难度加大;
    2) 多缸失火故障诊断仍难度较大, 不能准确识别失火故障的发生原因.
    下载: 导出CSV

    表  3  基于数据和模型结合的失火故障诊断方法评价

    Table  3  Evaluation of misfire fault diagnosis methods based on data and model

    特点 优点 缺点
    结合了基于数据和模型的失火诊断方法的优点. 提高了失火故障诊断精度, 增强了鲁棒性, 更加适用于变工况等情形的失火故障诊断方法实现. 增大了诊断方法的复杂度, 计算负荷较大.
    下载: 导出CSV
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  • 收稿日期:  2016-03-18
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