搭建了186FA柴油机试验台架，采集了柴油机在不同工况条件下排放的颗粒。通过N₂吸附法对颗粒的比表面积、孔隙平均半径和孔隙容积等结构特征参数进行了测量与分析，采用热重分析并结合Coast-Redfern积分法分析了颗粒的氧化特性，通过偏最小二乘回归分析法（PLS）分析了颗粒结构特征参数与颗粒氧化活化能之间的关系。结果表明：随着柴油机转速增加，颗粒的比表面积和孔隙容积增加，孔隙平均半径减小，氧化特征温度均提前，第一反应阶段活化能（E₁）略有增加，第二反应阶段活化能（E₂）显著减少；颗粒的比表面积、孔隙容积和孔隙平均半径对E₂具有同等的影响权重，且通过建立的PLS回归模型能够较为准确地预测E₂，最大误差为3.4%。

Test bench for 186FA diesel engine was built to collect the particles emitted by diesel engine under different working conditions. Then nitrogen adsorption method was used to measure the characteristic parameters such as specific surface area, average pore radius and pore volume. The oxidation characteristics of particle were analyzed by thermogravimetry and Coast-Redfern integration, and the analysis of relationship was further conducted between the characteristic parameters of particle structure and the activation energy of particle oxidation was analyzed by the method of partial least square regression analysis (PLS). The results showed that the specific surface area and pore volume of particles increased, the average pore radius decreased, the oxidation characteristic temperature advanced, the first-stage activation energy (E₁) increased slightly, and the second-stage activation energy (E₂) decreased significantly with the increase of diesel engine speed. The specific surface area, pore volume and average pore radius of particles had the same influence weight on E₂, and the established PLS model could predict E₂ accurately with a maximum error of 3.4%.