Performance enhancement of equilibrium regeneration in a gasoline particulate filter based on field synergy theory

Abstract

The optimization of exhaust parameters is conducive to improving the regenerative performance of the gasoline particulate filter(GPF) in the reaction equilibrium process. In this work, firstly, the regenerative model of the GPF is established to explore the effect of exhaust parameters on the index of the regenerative performance in the reaction equilibrium process. Secondly, based on the method of extreme difference analysis, a large number of parameters are optimized to intuitively study the variation law of the regenerative performance in the reaction equilibrium process. Finally, the multi-field synergy theory is used to analyze the field synergy effect after optimizing exhaust parameters. Research results show that when the exhaust mass flow, carbon loading amount, and m(NO2)/m(NO) decrease, while the oxygen concentration increases, both the regenerative performance and the effect of the field synergy are greatly improved. Through the calculation and analysis, after the exhaust parameters are optimized, the maximum increment of the soot oxidation rate is 30.38%, and the maximum decrement of the temperature non-uniformity coefficient(CTU), pressure drop in the reaction equilibrium process, and local maximum pressure drop gradient(GMP) are 23.40%, 69.38%, and 70.35% respectively. In addition, the increasing range of the field synergy coefficient of the GPF is 2.64–3.52%.