This study predicts regeneration characteristics of Diesel Particular Filter on vehicle driving condition through 1-D simulation. This simulation includes two major algorithm. First, the algorithm of soot loading was designed by preliminary test of pr...
This study predicts regeneration characteristics of Diesel Particular Filter on vehicle driving condition through 1-D simulation. This simulation includes two major algorithm. First, the algorithm of soot loading was designed by preliminary test of pressure drop characteristics according to mass of soot loading and flow rate. Second, the algorithm of regeneration was designed by referencing other result of DPF regeneration. In order to calculate rate of soot oxidation in soot loaded DPF, the simulation uses NOx & O₂ concentration, exhaust gas temperature and exhaust gas flow rate according to engine speed and load condition. At last, mass of soot loading was calculated by incorporating these algorithm. And we verified propriety of the simulation with simple driving mode. Then it is possible that predicting mass of soot loading, pressure drop and regeneration characteristics in DPF according to driving condition. Also real urban driving mode was analyzed using the simulation.