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Characterization of Particle Emissions of Turbocharged Direct Injection Gasoline Engine in Transients and Hot Start Conditions

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Journal of Thermal Science 2021年第6期30卷 2056-2070页

作者： Vincent BERTHOME David CHALET jean-françois hetet Ecole Centrale de Nantes LHEEA Lab.(ECN/CNRS)Nantes 44300France

Reducing pollutant emissions,particularly soot particles emitted by internal combustion engines,is a major challenge for car *** this paper,the experimental setup is a turbocharged three-cylinders gasoline direct injection engine installed on a HORIBA dynamic test driven by a HORIBA STARS *** particle-measuring device is a Pegasor Particles Sensor that measures the current carried by previously electrically charged *** hot engine stabilized tests,with lambda parameter lower or equal to one,have very low emission levels,unlike dynamic *** a consequence,the present paper deals with experiments in transient *** diesel engine,cycle tests show that particulate emissions vary *** understand the phenomenon,a simple transient was created and reproduced a hundred times in order to obtain enough data to analyze and compare these different *** transient starts from idle to reach the speed of 2000 r/min and 60 N·m in 5 *** reach this point,it is necessary to stay in full load for about 3 *** maximum deviations of particles reaches 85%with the standard deviationσ=18%.The cylinder pressure sensor shows significant variations at the very beginning of each transient,i.e.,during the first 500 *** kind of result was observed for Worldwide harmonized Light vehicles Test Cycles(WLTC)with a maximum deviations of particles reaching 75%withσ=30%,on Real Drive Emissions Cycle(RDE)with a maximum deviations of particles reaching 45%withσ=22%and for a 300 s Mini-Cycle with a maximum deviations of particles reaching 70%withσ=17%.The Mini-cycle is made up of the five largest accelerations of the WLTP cycle.A complete analysis highlights the importance of filling the first engine *** depends on the opening speed of the throttle,the position of the crankshaft at the beginning of the transient,and the acceleration of the first ***,the NO_(x) sensor shows very slight variations between each *** a consequence,i

关键词： particles gasoline engine cycle-to-cycle variations transients oil consumption

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Roadside vehicle particulate matter concentration estimation using artificial neural network model in Addis Ababa,Ethiopia

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Journal of Environmental Sciences 2021年第3期33卷 428-439页

作者： Solomon Neway Jida jean-françois hetet Pascal Chesse Awoke Guadie Research Laboratory in Hydrodynamics Energetics&Atmospheric Environment(LHEEA)École Centrale de NantesNantes 44300France Department of Mechanical Engineering Faculty of Mechanical&Production EngineeringInstitute of TechnologyArba Minch UniversityArba Minch 21Ethiopia Key Laboratory of Environmental Biotechnology Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China Department of Biology College of Natural SciencesArba Minch UniversityArba Minch 21Ethiopia

Currently,vehicle-related particulate matter is the main determinant air pollution in the urban *** study was designed to investigate the level of fine(PM_(2.5))and coarse particle(PM_(10))concentration of roadside vehicles in Addis Ababa,the capital city of Ethiopia using artificial neural network *** train,test and validate the model,the traffic volume,weather data and particulate matter concentrations were collected from 15 different sites in the *** experimental results showed that the city average 24-hr PM_(2.5)concentration is 13%-144%and 58%-241%higher than air quality index(AQI)and world health organization(WHO)standards,*** PM_(10)results also exceeded the AQI(54%-65%)and WHO(8%-395%)*** model runs using the Levenberg-Marquardt(Trainlm)and the Scaled Conjugate Gradient(Trainscg)and comparison were performed,to identify the minimum fractional error between the observed and the predicted *** two models were determined using the correlation coefficient and other statistical *** Trainscg model,the average concentration of PM_(2.5)and PM_(10)exhaust emission correlation coefficient were predicted to be(R^(2)=0.775)and(R^(2)=0.92),*** Trainlm model has also well predicted the exhaust emission of PM_(2.5)(R~2=0.943)and PM_(10)(R^(2)=0.959).The overall results showed that a better correlation coefficient obtained in the Trainlm model,could be considered as optional methods to predict transport-related particulate matter concentration emission using traffic volume and weather data for Ethiopia cities and other countries that have similar geographical and development settings.

关键词： Addis Ababa Artificial neural network PM prediction Roadside emission

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Oil Strategies Benefits over Different Driving Cycles using Numerical Simulation

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Journal of Thermal Science 2017年第4期26卷 371-377页

作者： Hanna SARA David CHALET Mickael CORMERAIS jean-francois hetet Ecole Centrale de Nantes LHEEA lab.(ECN/CNRS)NantesFrance MANN+HUMMEL france LavalFrance

95 g/kin is the allowed quantity of CO2 emission normalized to NEDC to be set in 2020. In addition, NEDC will be replaced by more severe driving cycles and will be united worldwide. To respond to those criteria, automotive industries are working on every possible field. Thermal management has been proved to be effective in reducing fuel consumption. Cold start is a primordial reason of ovcrconsumption, as the engine highest efficiency is at its optimal temperature. At cold start, the engine＇s oil is at its lowest temperature and thus its higher viscosity level. A high viscosity oil generates more friction, which is one of the most important heat losses in the engine. In th/s paper, hot oil storage is studied. Numerical simulations on GT-suite model were done. The model consists of a 4-cylinder turbocharged Diesel engine using a storage volume of 1 liter of hot oil. Ambient temperature vari- ation were taken into consideration as well as different driving cycles. Furthermore, different configurations of the thermal strategy （multifunction oil sump） were proposed and evaluated. Lubricant temperature and viscosity profiles are presented in the article as well as fuel consumption savings for different configurations, driving cycles and ambient temperatures.

关键词： Thermal management Hot oil storage Oil sump Oil viscosity Fuel consumption

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