通常可以使用压差传感器估计柴油机微粒捕集器（DPF）中的碳载量，但其在较低排气流量时的非线性和非稳定状态下，准确性会严重下降。为了提高精度，建立了新的碳载量估算方法，以计算DPF中的炭烟累计量，从而提高主动再生触发时间的精度。该模型基于发动机炭烟排放和DPF内的炭烟氧化平衡，由炭烟排放模型、NO₂被动再生模型和炭烟高温氧化模型3个子模型组成。测试验证是基于全球统一瞬态试验循环(WHTC)进行的。试验结果表明，在载碳形成过程中，碳载量计算值与实测值的平均误差为4.6%。随着排气温度和NO₂浓度增加，被动再生加快，主动再生间隔延长。

Although the pressure differential sensor could estimate the amount of DPF soot load, the accuracy of soot estimation deteriorated seriously at the lower exhaust volumetric flow because of its nonlinear and unsteady state. In order to improve the accuracy, a new soot load estimation method was established to calculate the soot accumulation of DPF for improving the accuracy of the trigger time of active regeneration. This model was based on the balance of engine soot emission and DPF soot oxidation, and which consists of three submodels such as soot emission model, NO₂ passive regeneration model and soot hightemperature oxidation model. Testing validations were conducted based on the world harmonized transient cycle(WHTC). The experimental results showed that the average error between calculated and measured soot load was about 4.6% during the soot load process. The passive regeneration accelerated and active regeneration interval prolonged along with increasing of the exhaust temperature and NO₂ concentration.