国六排放标准下的缸内直喷汽油机颗粒捕集器精度碳载模型建立及验证
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摘要
为了验证发动机不同修正参数对发动机电子控制单元(ECU)计算汽油机颗粒捕集器(GPF)碳载量的影响,优化和改进国六标准下的汽油机颗粒捕集器控制策略。基于GPF的碳烟加载质量流量模型,利用Simulink进行建模,搭建GPF精度碳载计算仿真模型,通过发动机原排质量流量、不同工况下发动机的空燃比修正参数、PM过滤效率修正参数、发动机运行水温修正参数、发动机负荷修正参数计算模块模拟出GPF碳载量。并通过搭载一款自主研发的1.5T缸内直喷发动机进行台架和整车道路试验,对比验证了缸内直喷汽油机颗粒捕集器精度碳载模型的准确性。通过对GPF载体进行称重,可分析出发动机各修正参数对模型碳载量计算的影响效果。通过对模型进行优化,使仿真结果更接近整车表现。研究结果有利于实现GPF离线标定功能,提升GPF的控制策略,降低相应的开发成本。
In order to verify the influence of different engine correction parameters on the calculation of the carbon load of the Gasoline Particulate Filters(GPF) by the engine electronic control unit(ECU), the control strategy of the gasoline engine particle trap under China Ⅵ emission standard is optimized and improved. Based on GPF′s soot loading mass flow model, this model is modeled by Simulink, and the GPF precision carbon load calculation simulation model is built. The engine′s original mass flow rate, air-fuel ratio correction parameters of the engine under different working conditions, PM filter efficiency correction parameters, the engine operating water temperature correction parameter and the engine load correction parameter calculation module were used to simulate the GPF carbon load. And by carrying a self-developed 1.5 T in-cylinder direct injection engine for bench and vehicle road test, the accuracy of the accurate carbon load model of the direct-injection gasoline engine particle trap is verified. By weighing the GPF carrier, the effect of various modified parameters of the engine on the calculation of the model carbon load can be analyzed. By optimizing the models, the simulation results are closer to the vehicle performance. The research results are beneficial to realize the GPF offline calibration function, improve the GPF control strategy, and reduce the corresponding development cost.
In order to verify the influence of different engine correction parameters on the calculation of the carbon load of the Gasoline Particulate Filters(GPF) by the engine electronic control unit(ECU), the control strategy of the gasoline engine particle trap under China Ⅵ emission standard is optimized and improved. Based on GPF′s soot loading mass flow model, this model is modeled by Simulink, and the GPF precision carbon load calculation simulation model is built. The engine′s original mass flow rate, air-fuel ratio correction parameters of the engine under different working conditions, PM filter efficiency correction parameters, the engine operating water temperature correction parameter and the engine load correction parameter calculation module were used to simulate the GPF carbon load. And by carrying a self-developed 1.5 T in-cylinder direct injection engine for bench and vehicle road test, the accuracy of the accurate carbon load model of the direct-injection gasoline engine particle trap is verified. By weighing the GPF carrier, the effect of various modified parameters of the engine on the calculation of the model carbon load can be analyzed. By optimizing the models, the simulation results are closer to the vehicle performance. The research results are beneficial to realize the GPF offline calibration function, improve the GPF control strategy, and reduce the corresponding development cost.
引文
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[2] Ito Y,Shimoda T,Aoki T,et al.Next generation of ceramic wall flow gasoline particulate filter with integrated three way catalyst[C].SAE Technical Paper 2015-01-1073,2015
[3] 李配楠,程晓章,骆洪燕,等.基于国六标准的汽油机颗粒捕集器(GPF)的试验研究[J].内燃机与动力装置,2017,34(1):1-5Li P N,Cheng X Z,Luo H Y,et al.The experimental study of gasoline particulate filter (GPF) for China 6 standard[J].Internal Combustion Engine & Powerplant & 2017,34(1):1-5 (in Chinese)
[4] 李配楠.满足国六标准的汽油机颗粒捕集器(GPF)的试验研究[D].合肥:合肥工业大学,2017Li P N.Experimental study for gasoline particulate filter with China-6 standard[D].Hefei:Hefei University of Technology,2017 (in Chinese)
[5] 唐蛟,李国祥,王志坚,等.DPF碳载量模型的建立及试验[J].内燃机学报,2015,33(1):51-7Tang J,Li G X,Wang Z J,et al.Construction and experiment of DPF soot loading model[J].Transactions of CSICE,2015,33(1):51-7 (in Chinese)
[6] 王晓鹏,陈玮,曹明柱,等.DPF碳载量计算模型的建立及试验验证[C]//2016中国汽车工程学会年会论文集.临海:中国内燃机学会汽油机煤气机分会,中国汽车工程学会汽车发动机分会,湖北省内燃机学会,2016:25-28Wang X P,Chen W,Cao M Z,et al.Construction and experiment verification of DPF soot load calculation model[C]//2016 China Automotive Engineering Society Annual Conference Proceedings.Linhai:China Institute of Internal Combustion Engines Gasoline Engine Branch,China Automobile Engineering Society Automobile Engine Branch,Hubei Institute of Internal Combustion Engines,2016:25-28 (in Chinese)
[7] 黄开胜,张尧,马晗清,等.基于数学模型的DPF再生控制策略仿真和优化[J].汽车技术,2014(5):49-54Huang K S,Zhang Y,Ma H Q,et al.Simulation and optimization of mathematical model based DPF regeneration control strategy[J].Automobile Technology,2014(5):49-54 (in Chinese)
[8] Bernardoff R,Hennebert B,Delvigne T,et al.A study of ash accumulation in the after-treatment system of a gasoline direct injection engine equipped with a gasoline particulate filter[C]//WCXTM 17:SAE World Congress Experience.SAE,2017
[9] Van Nieuwstadt M,Ulrey J.Control strategies for gasoline particulate filters[R].SAE Technical Paper 2017-01-0931,2017
[10] 张轲,杜艳婷.颗粒物捕集器压降特性试验分析与仿真模拟[J].内燃机与配件,2017(9):45-47Zhang K,Du Y T.Experimental study and simulation on pressure drop characteristics of a DPF[J].Internal Combustion Engine & Parts,2017(9):45-47 (in Chinese)
[11] 唐蛟.基于热管理的柴油机微粒及NOx排放控制技术研究[D].济南:山东大学,2015Tang J.Study on control technology of diesel particulate and NOx emissions based on thermal management[D].Jinan:Shandong University,2015 (in Chinese)
[12] 陈刚.基于机内DPF再生控制策略的喷油参数优化[D].成都:西南交通大学,2017Chen G.Optimization of injection parameters based on internal DPF regeneration control strategy[D].Chengdu:Southwest Jiaotong University,2017 (in Chinese)
[13] 闫明星.基于模型的柴油机微粒捕集器碳烟加载量估计研究[D].长春:吉林大学,2015Yan M X.Research on model-based particulate matter load estimation in diesel particulate filter[D].Changchun:Jilin University,2015 (in Chinese)
[14] 王丹,刘忠长,田径,等.基于压降进行DPF碳载量估算的研究[J].汽车工程,2016,38(12):1415-1419Wang D,Liu Z C,Tian J,et al.A study on DPF soot mass estimation based on pressure drop[J].Automotive Engineering,2016,38(12):1415-419 (in Chinese)
[15] Shah C D.Particulate matter load estimation in diesel particulate filters[D].IN,USA:Purdue University,2008[15]