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作 者:刘洋 张文彬[1] 华伦[1] 张云龙[1] 帅石金[1] LIU Yang;ZHANG Wenbin;HUA Lun;ZHANG Yunlong;SHUAI Shijin(State Key Laboratory of Automotive Safety and Energy,Tsinghua University,Beijing 100084,China)
出 处:《车用发动机》2019年第4期34-40,46,共8页Vehicle Engine
基 金:国家重点研发计划“大气污染成因与控制技术研究”(2017YFC0211004)
摘 要:基于快速原型的思想,开发了一套轻型汽油车国六后处理OBD系统。该系统的硬件由NIPXI平台定制而成,能够对三效催化器(TWC)和汽油机颗粒捕集器(GPF)集成后处理系统的传感器信号和发动机工况参数进行采集和通信;在Matlab/Simulink中开发了基于神经网络的故障诊断模型和基于状态机的故障决策模型,将模型进行代码生成并下载到实时控制器运行;在上位机PC中通过VeriStand软件,进行系统定义文件的配置和交互界面的设计,实现了系统状态的实时监控。分别通过台架试验和整车转鼓试验对后处理OBD系统进行功能性验证。结果表明,所开发的快速原型系统能够在台架稳态工况和实际驾驶循环中正确诊断出后处理部件的故障,并进行合理的故障决策。Based on the idea of rapid prototype,a set of aftertreatment OBD system for light duty gasoline vehicle that conformed to China Ⅵ emission legislation was developed.The system hardware was customized based on NI PXI platform,which could communicate and collect engine operating parameters and sensing signals of the aftertreatment system including three-way catalytic converter(TWC) and gasoline particulate filter (GPF).A neural network-based fault diagnostic model and a state machine-based fault decision model were developed with Matlab/Simulink which were then compiled into codes and downloaded to the real-time controller.The configuration of system definition file and the design of interactive interface were conducted with VeriStand software in the host computer and the real-time monitoring of system status was finally realized.In the end,the aftertreatment OBD system was verified by the bench test and the drum test.The results show that the developed system can diagnose the aftertreatment components smoothly in the bench steady-state condition and the real vehicle driving cycle and make reasonable fault decisions.
关 键 词:快速原型 后处理系统 车载诊断系统 诊断模型 三效催化器 汽油机颗粒捕集器
分 类 号:TK411.5[动力工程及工程热物理—动力机械及工程]
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