In current filtration model,theoretical filtering ratio based on time average concept is adopted, without considering the dynamic operation factors, such as temperature and flow fluctuation. Therefore, a dynamic filtering theoretical model was established for oil particulate filter based on a systematic perspective by divide the filtering process into before filtering, filtering and after filtering, and its filtration characteristics were investigated. Compared with the traditional constant-ratio-based model, in the proposed method, the influence of repeated filtration and repeated pollution were considered to enable an accurate characterization of the filtration effect in the oil particle filter.The effectiveness of the proposed method was verified through simulation analysis and experimental research.The results show that the dynamic filtration ratio decreases with the increases of the repeated filtration rate and repeated pollution rate;when the oil flow and the pressure of the pollution control system is high, and the temperature is low,the dynamic filtration ratio is relatively large.