Research on Influence of Exhaust Characteristics and Control Strategy to DOC-Assisted Active Regeneration of DPF

• Main Authors: Guanlin Liu, Weiqiang Liu, Yibin He, Jinke Gong, Qiong Li
• Format: Article
• Language: English
• Published: MDPI AG 2021-08-01
• Series: Processes
• Subjects: DOC-assisted DPF regeneration; mathematical model; exhaust parameters; control strategy; fuzzy grey relational analysis
• Online Access: https://www.mdpi.com/2227-9717/9/8/1403

For the purpose of designing a reasonable control strategy for DOC-assisted DPF regeneration, a mathematical model that describes the thermal phenomenon both in a diesel oxidation catalyst (DOC) and diesel particulate filter (DPF) during regeneration is developed. All boundary conditions of this model are obtained by experiments. The effects of the main exhaust parameters such as exhaust mass flow rate, exhaust temperature, oxygen concentration and emission of reactants are investigated comprehensively. The effects of two main parameters of control strategy, DOC-out temperature and soot loading, are analyzed as well. To quantify the effects of relevant parameters, the fuzzy grey relational analysis method is utilized to evaluate the correlation coefficient of all factors to key indexes of DPF regeneration such as maximum temperature, maximum rate of temperature increase and regeneration duration. The results of this work will greatly reduce the complexity of analysis and enable more rational control strategy design of DOC–DPF regeneration systems.