| 黄铁雄，朱元宪，冉勇，张明超，刘南江，陈超.一种柴油机颗粒过滤器碳烟负载量的在线预估方法与试验研究[J].内燃机工程,2019,40(4):64-71. |
| Experimental Study on Online Estimation of Diesel Particulate Filter Soot Load |
| DOI：10.13949/j.cnki.nrjgc.2019.04.010 |
| Key Words:diesel particulate filter（DPF） soot load online estimation modeling |
|
| 摘要点击次数: 3769 |
| 全文下载次数: 1817 |
| Abstract:An online soot load estimation method based on mass balance was developed through establishing the predicting models of NOx and soot emissions from engine and the model of catalytic soot oxidation reaction of passive regeneration in diesel particulate filter(DPF). The verification of the emissions models were carried out by the new European driving cycle(NEDC) test. The results show that the prediction errors of the NOx and soot emissions models are 5.1% and 3.9% respectively. A DPF soot loading test is also conducted by on-vehicle real world driving. It is shown that the maximum error of the developed estimation method is 0.48 g/L and the average error is 0.17 g/L, achieving an average online estimation error of 2.1% during the whole testing phase. This indicates that the method has a considerable potential in performing the DPF thermal regeneration in a reasonable and timely manner. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|