摘要
针对某V型六缸GDI机械增压汽油机,搭建基于Matlab Simulink平台的颗粒捕集器(gasoline particulate filter,GPF)碳载量模型,通过试验数据对模型中的相关脉谱进行仿真标定;并对样机的GPF主动及被动再生策略进行研究,评价分析策略表现。模型试验验证结果表明,累碳模型的偏差值为+5.8%;主动再生模型的偏差值为+9%;被动再生(断油)模型的偏差值为+6%;综合碳载量模型的偏差值为+3%,模型精度良好。
For a V-model 6-cylinder GDI mechanical supercharger engine,this paper establishes a GPF soot model based on Matlab Simulink,and calibrates the corresponding maps inside the model through test data.The results of model validation show that the deviation value of raw soot model is about+5.8%,the deviation value of active regeneration model is about+9%,the deviation value of passive regeneration(fuel cut-off)model is about+6%,and the deviation value of comprehensive soot model is about+3%,so the model accuracy is good.Simultaneously,this paper studies the strategies of GPF active and passive regeneration of the prototype,and evaluates their performance.
作者
范明哲
张宾
Sterzer Alexander
Sokolov Dimitri
FAN Mingzhe;ZHANG Bin;STERZER Alexander;SOKOLOV Dimitri(Bosch Engineering Technology Division,Bosch China Investment Ltd.,Shanghai 200335,China;Bosch Engineering GmbH,Heilbronn 74003,Germany)
出处
《内燃机与动力装置》
2018年第6期1-10,25,共11页
Internal Combustion Engine & Powerplant
关键词
汽油机
GPF
碳载量模型
再生策略
gasoline engine
GPF
soot model
regeneration strategy
