摘要
以YN27型柴油机的颗粒捕集器(DPF)再生系统为研究原型,在相关氧化型催化器(DOC)和DPF化学反应特性标定试验的基础上,借助Simulink搭建了再生系统控制模型,基于AVL Boost搭建了被控模型。首先对发动机和后处理系统模型进行了参数标定以确保被控模型的准确性,然后结合Simulink对DPF再生控制策略进行了模型验证。在全球统一瞬态试验循环(WHTC)工况下的仿真结果表明,使用该策略搭建的控制模型可以准确的判断再生时机,流经DOC后的气体成分中CO和C_3H_6等碳氧化物含量较低,且DPF中的碳烟颗粒在仿真时间为800 s时接近完全再生,可以达到工程应用要求。
With Diesel Particulate Filter(DPF) regeneration system of YN27 diesel engine as research prototype, a regeneration system control model was established with Simulink based on the reference of the calibration test of the related DOC and DPF chemical reaction characteristics, and a controlled model were established based on AVL-Boost. The model of engine and post processing system were calibrated to ensure the accuracy of the controlled model. Then, the model verification of the DPF regeneration control strategy was carried out with Simulink. The simulation in the WHTC condition shows that the controlled model established with this strategy can accurately determine regeneration timing, the content of CO and C3H6 in the gas components flowing out of DOC is low, and PM in DPF is close to complete regeneration when the simulation time is 800 s, which can meet the requirements of engineering application.
作者
马成功
刘军
熊明路
卞家柱
Ma Chenggong;Liu Jun;Xiong Minglu;Bian Jiazhu(Jiangsu University,Zhenjiang 212000)
出处
《汽车技术》
CSCD
北大核心
2019年第3期47-52,共6页
Automobile Technology
关键词
柴油机
颗粒捕集器
控制系统建模
再生
Diesel engine
Particulate filter
Control system modeling
Regeneration
