基于铈基添加剂的微粒捕集器催化再生研究

Study on Diesel Particulate Filter Catalytic Regenerating with Ceria-Based Additive

基于微粒捕集器(DPF)NO2辅助再生计算模型,建立了添加铈基添加剂时DPF的催化再生计算模型,并进行了试验验证.采用铈基添加剂提高DPF的再生性能,在4种典型工况下对有添加剂和无添加剂的DPF进行了催化再生对比试验.结果表明:有添加剂的DPF在低排气温度下再生性能明显优于无添加剂的DPF再生性能,但仍然难以达到微粒平衡状态;在中高排气温度下再生性能也得到了提高,达到微粒平衡状态的时间缩短,微粒平衡质量减小.这对于提高柴油机的经济性,减少动力性损失,延长DPF的寿命十分必要.

Based on NO2-assisted regeneration model of diesel particulate filter （DPF）, a catalytic regeneration model with ceria-based additive was developed. A ceria-based additive was used to improve the regeneration DPF performance. Bench experiments under 4 typical operating conditions were conducted. Results show that the regeneration performance of DPF with additive is much better than that without additive at low exhaust temperature, but still can not reach a balance status. The regeneration DPF performance with additive is a little better than that without additive at high exhaust temperature and it requires less time to get a balance status. This is beneficial to the improvement of engine performance and extending DPF＇s life.