文章基本信息

标题：Calibration of a Mass Balance Based Soot Load Estimation Model for Diesel Particulate Filter
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作者：Tiexiong Huang ; Yuanxian Zhu ; Yong Ran 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：31
页码：362-365
DOI：10.1016/j.ifacol.2018.10.074
语种：English
出版社：Elsevier
摘要：AbstractTo accurately estimate the amount of soot in the diesel particulate filters (DPFs) is critical to maintain DPF integrity while minimizing the fuel penalty. A mass balance based soot load estimation model is developed by use of the engine-out soot emission and DPF passive regeneration characteristics. Calibration mapping and the mapping result are described and discussed. Experimental validation is carried out in both engine test cell and vehicle road tests. Results show that after calibration mapping in a systematic way, the proposed mass balance based model has achieved an accuracy of +/-1g/L, which indicates a considerable potential to contribute to the DPF applications and management.
关键词：KeywordsDiesel particulate filterSoot load estimationPassive regenerationCalibration mappingModeling