秦涛1,2，李国朋1,2，张雷波1,2，江楠1,2

1. 内燃机可靠性国家重点实验室，山东潍坊261061；2. 潍柴动力股份有限公司，山东潍坊261061

摘要：对柴油颗粒过滤器（diesel particulate filter，DPF）系统灰分含量预估的可信性诊断进行研究，确保DPF主动再生时碳载量预估的准确性。在DPF再生后记录再生完成时刻的排气流量、DPF温度、DPF压差等相关特征参数，利用特征量反推DPF中的灰分含量。对比分析模型预估灰分含量与计算灰分含量，对模型预估灰分含量的可信性进行评估和修正，确保DPF主动再生时碳载量预估的准确性。仿真分析结果表明，预估灰分含量可用于DPF系统灰分含量预估可信性诊断。

关键词：DPF；灰分；诊断；可信性

Abstract:This paper introduces a credible diagnostic method for ash content estimation of DPF (diesel particulate filter) system, which is used to ensure the accuracy of carbon load estimation during DPF regeneration. The exhaust gas flow rate, DPF temperature and pressure difference are recorded when regeneration is finished. These parameters are used to estimate the ash component in the DPF. The estimated ash content of the model is compared with the calculated ash content, and the credibility of the model for ash content is evaluated. This model is used to ensure the accuracy of the carbon load estimation during active regeneration of the DPF. By simulation, the estimated ash content of the model can be used for credible diagnostic of ash content estimation of DPF.

Keywords:DPF; ash; diagnosis; credibility