汽车工程 ›› 2020, Vol. 42 ›› Issue (9): 1183-1188.doi: 10.19562/j.chinasae.qcgc.2020.09.006

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基于流通阻力的DPF碳载量预测模型研究*

石秀勇1, 蒋得刚1, 梁云芳2, 梁鹏飞3   

  1. 1.同济大学汽车学院,上海 201804;
    2.中国船舶科学研究中心,无锡 214000;
    3.中船重工第七一一研究所,上海 201804
  • 出版日期:2020-09-25 发布日期:2020-10-19
  • 通讯作者: 蒋得刚,助理工程师,E-mail:jiangdegang15@163.com
  • 基金资助:
    *上海市自然科学基金(16ZR1438500)资助。

Study of DPF Carbon Load Prediction Model Based on Flow Resistance

Shi Xiuyong1, Jiang Degang1, Liang Yunfang2, Liang Pengfei3   

  1. 1. School of Automotive Studies, Tongji University, Shanghai 201804;
    2. China Ship Scientific Research Center, Wuxi 214000;
    3. Shanghai Marine Diesel Engine Research Institute, Shanghai 201804
  • Online:2020-09-25 Published:2020-10-19

摘要: 精确预测碳载量是目前柴油机颗粒捕集器(DPF)技术应用的关键环节。本文中首先对DPF压差值的主要影响因素进行了理论分析,发现当DPF的物理结构和内部碳载量确定的情况下,其压差主要受排气体积流量的影响,进而提出采用流动阻力值作为特定碳载量下压差与排气体积流量的关系表征。其次,运用GT-Power软件建立DPF一维仿真模型,模拟了DPF内部不同碳载量对流通阻力的影响,分析表明:瞬态工况下DPF压差值受发动机运行工况影响而在较大范围内剧烈波动,但流通阻力值相对较稳定且与DPF内部碳载量呈正相关关系。最后,结合发动机台架试验对DPF仿真模型进行了试验验证,两者吻合良好,最大误差约10%。

关键词: 柴油机, 再生, 流通阻力, 模拟仿真, 台架试验

Abstract: Accurate prediction of carbon load is the key to the application of diesel particulate filter (DPF) technology. Firstly, the major factors influencing DPF differential pressure value are analyzed theoretically in this study. It is found that the differential pressure is primarily affected by exhaust gas volume flow rate when the physical structure and internal carbon load of DPF are given. Therefore, the flow resistance value is proposed to be used to characterize the correlation between the differential pressure and exhaust volume flow under specific carbon load. Secondly, a one-dimensional model of DPF is built using GT-Power software, simulating the influence of different carbon load in DPF on flow resistance. The analysis shows that the differential pressure value fluctuates greatly under transient conditions due to the influence of engine running conditions, but the flow resistance value keeps relatively stable and is positively correlated with the carbon load in DPF. Finally, the DPF simulation model is verified by engine bench test, which are in good agreement, with a maximum error of 10%

Key words: diesel engine, regeneration, flow resistance, simulation, bench test