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

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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

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