CN110414089A - The simulated prediction method of vehicle PEMS discharge based on Engine Universal Characteristics - Google Patents
The simulated prediction method of vehicle PEMS discharge based on Engine Universal Characteristics Download PDFInfo
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- CN110414089A CN110414089A CN201910619169.8A CN201910619169A CN110414089A CN 110414089 A CN110414089 A CN 110414089A CN 201910619169 A CN201910619169 A CN 201910619169A CN 110414089 A CN110414089 A CN 110414089A
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- BUCXEFZXWKUCCY-UHFFFAOYSA-N 4-methyl-3-(2-phenylethyl)-1,2,4-oxadiazol-5-one Chemical compound O1C(=O)N(C)C(CCC=2C=CC=CC=2)=N1 BUCXEFZXWKUCCY-UHFFFAOYSA-N 0.000 title claims abstract description 43
- 238000002229 photoelectron microspectroscopy Methods 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 27
- 239000007789 gas Substances 0.000 claims abstract description 52
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims abstract description 26
- XSQUKJJJFZCRTK-UHFFFAOYSA-N Urea Chemical compound NC(N)=O XSQUKJJJFZCRTK-UHFFFAOYSA-N 0.000 claims abstract description 25
- 239000004202 carbamide Substances 0.000 claims abstract description 25
- 239000002912 waste gas Substances 0.000 claims abstract description 24
- 238000001228 spectrum Methods 0.000 claims abstract description 23
- 238000002347 injection Methods 0.000 claims abstract description 19
- 239000007924 injection Substances 0.000 claims abstract description 19
- 229910021529 ammonia Inorganic materials 0.000 claims abstract description 13
- 230000005540 biological transmission Effects 0.000 claims abstract description 12
- 239000003054 catalyst Substances 0.000 claims abstract description 12
- 238000006243 chemical reaction Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 11
- NJPPVKZQTLUDBO-UHFFFAOYSA-N novaluron Chemical compound C1=C(Cl)C(OC(F)(F)C(OC(F)(F)F)F)=CC=C1NC(=O)NC(=O)C1=C(F)C=CC=C1F NJPPVKZQTLUDBO-UHFFFAOYSA-N 0.000 claims abstract description 10
- 230000008878 coupling Effects 0.000 claims abstract description 5
- 238000010168 coupling process Methods 0.000 claims abstract description 5
- 238000005859 coupling reaction Methods 0.000 claims abstract description 5
- 210000001367 artery Anatomy 0.000 claims description 8
- 210000003462 vein Anatomy 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 5
- 239000002699 waste material Substances 0.000 claims description 4
- 238000004088 simulation Methods 0.000 abstract description 10
- 238000011161 development Methods 0.000 abstract description 4
- 238000002474 experimental method Methods 0.000 abstract description 3
- 238000012360 testing method Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 9
- 238000012805 post-processing Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 4
- 239000003344 environmental pollutant Substances 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 231100000719 pollutant Toxicity 0.000 description 3
- 238000006555 catalytic reaction Methods 0.000 description 2
- 230000000052 comparative effect Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000005111 flow chemistry technique Methods 0.000 description 2
- 230000001052 transient effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000008450 motivation Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000000779 smoke Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
- 238000009423 ventilation Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- Combined Controls Of Internal Combustion Engines (AREA)
- Exhaust Gas After Treatment (AREA)
Abstract
The simulated prediction method for the vehicle PEMS discharge based on Engine Universal Characteristics that the present invention relates to a kind of, the method steps are as follows: CRUISE whole vehicle model, preprocessor BOOST Chemical Reaction Model, urea injection control model, engine pedestal and vehicle preprocessor temperature difference model are carried out coupling control；Construct the road PEMS spectrum；Export the revolving speed torque information and actual environment information of engine；Interpolation processing obtains the road PEMS spectrum engine raw emissions waste gas component, exhaust gas flow and exhaust gas temperature initial value；Transmission function handles to obtain the optimal value of engine raw emissions waste gas component and exhaust gas flow；Temperature of processor amendment；Calculate SCR catalyst outlet exhaust component, exhaust gas flow data and SCR catalyst ammonia amount of storage, urea injecting quantity.The present invention can reduce engine emission development experiments cost and shorten the project development period, improve simulation and prediction speed and precision.
Description
Technical field
It discharges pollutants the field of test technology, is related to a kind of based on Engine Universal Characteristics discharge knot the invention belongs to vehicle
Fruit predicts the simulated prediction method of real road vehicle PEMS discharge offline.
Background technique
With China's atmospheric environment deteriorate and emission regulation it is increasingly stringent, heavy goods vehicles are required to lead to since six stage of state
It crosses the portable test macro that discharges pollutants (portable emission measurement system PEMS) and is based on reality
Road driving carries out discharge detection, is different from engine rig test, and on-road emission process is considered including driving
The practical factor for driving emission result of the influences such as operating condition, traffic condition, driving style, environment temperature and humidity and height above sea level is sailed, it can be more
The emission level of true reflection automobile in actual use.
Vehicle PEMS emission test usually passes through selected target vehicle and carries out real steering vectors in target road, and test needs
Huge manpower and material resources cost is expended, when test result cannot be by regulation limit value, re-optimization is needed to discharge nominal data,
Cause project development cycle stretch-out, exist discharge can not by risk.Become one for this purpose, discharging to PEMS and carrying out simulation and prediction
Kind is necessary and effective engine emission designs and develops method.
Predict that the research of real road vehicle PEMS discharge exists offline to based on universal characteristic emission result both at home and abroad at present
It is rarely reported in the document published.Most of simulation and prediction is by establishing engine physical model or semi physical mould
Type first predicts the raw emissions of engine, then the prediction of final vehicle discharge is carried out by post-processing model and whole vehicle model, this
Kind prediction technique needs to carry out a large amount of physical modeling work, and has with the horizontal experience of modeling personnel compared with Important Relations, model
The adjustment in accuracy result constantly being corrected, and finally predicted there is still a need for actual tests result be not necessarily accurately even more than
The error range of permission.Zhejiang Polytechnical University is in female et al., according to the machine measured under portable emission measuring system actual condition
Oil consumption of motor vehicle and each pollutant emission data simultaneously combine the theoretical model of oil consumption to set up Comprehensive Model, finally by experiment
Instance analysis and verifying are carried out to Comprehensive Model, this kind of method is discharged by the correlation of oil consumption and discharge
The resultant error of indirect predictions, prediction is larger.Beijing Jiaotong University Wang Jingnan et al. is based on actual measurement PEMS data and utilizes IVE model
Vehicle emission behaviour is predicted.All fail directly to provide prediction result to the PEMS of specific vehicle above.
Current vehicle discharge simulated prediction method is as follows: vehicle dynamic model is established, by surveying PEMS vehicle road
Spectrum obtains corresponding engine operating condition information (information such as revolving speed and torque), and corresponding work information is inputted engine physical model
Or half physical model obtains the raw emissions of engine, engine raw emissions result input post-processing model obtains the tail of vehicle
Pipe discharge.Current technological means needs to establish accurately whole vehicle model, engine mockup, post-processing model and corresponding combustion
Oil system control and post-processing injection control, while some parameters in model need and actual tests result is carried out to mark,
The precision of final PEMS prediction can be improved.Present arrangements need physical model to have higher precision, and some of them parameter is again same
When depend on test result, and the modeling process workload of each model and experiment are huger and final to mark workload
Precision of prediction not can guarantee.
Summary of the invention
The vehicle PEMS discharge based on Engine Universal Characteristics that the technical problem to be solved in the present invention is to provide a kind of is imitated
True prediction technique, this method can relatively rapid, the PEMS vehicle that calculates to a nicety discharges.
In order to solve the above-mentioned technical problem, the emulation of the vehicle PEMS discharge of the invention based on Engine Universal Characteristics is pre-
Survey method is as follows:
Step 1: whole-car parameters, Engine Universal Characteristics arteries and veins spectrum, preprocessor parameter are obtained, target vehicle is built
After CRUISE whole vehicle model, preprocessor BOOST Chemical Reaction Model, urea injection control model, engine pedestal and vehicle
Each model is carried out coupling control by temperature of processor differential pattern in Simulink；
Step 2: it the spectrum building of the road PEMS: is composed from the target vehicle CRUISE whole vehicle model export road PEMS；
Step 3: the revolving speed torque information and reality of engine under each time measuring point are exported from the road the PEMS spectrum in step 2
Border environmental information；
Step 4: engine speed torque information derived in step 3 interpolation processing: is imported into Engine Universal Characteristics
Arteries and veins spectrum finds the road PEMS and composes corresponding engine raw emissions waste exhaust gases component, exhaust gas flow and exhaust gas temperature under each operating condition
Degree, or the road PEMS is obtained by interpolation calculation and composes corresponding engine raw emissions waste gas component, waste gas stream under each operating condition
Amount and exhaust gas temperature initial value；
Step 5: transmission function processing: by step 4 waste gas component and exhaust gas flow respectively bring into and to demarcate in advance
Waste gas component transmission function and exhaust gas flow transmission function carry out calculation processing, obtain engine raw emissions waste gas component and give up
The optimal value of throughput；
Step 6: temperature adjustmemt；Exhaust gas temperature obtained in step 4 is inputted into engine pedestal and vehicle preprocessor
Temperature difference model carries out that preprocessor actual temperature is calculated；
Step 7: by the optimum results data and step 6 of engine exhaust component obtained in step 5 and exhaust gas flow
Obtained preprocessor actual temperature input preprocessor BOOST Chemical Reaction Model and urea injection control model, BOOSTization
Learn the urea that reaction model is calculated according to the optimum results data and urea injection control model of waste gas component and exhaust gas flow
The amount of injection and preprocessor actual temperature calculate SCR catalyst outlet exhaust component and exhaust gas flow data and SCR catalysis
Device ammonia amount of storage, urea injection control model is according to the optimum results data and BOOST of waste gas component and exhaust gas flow chemistry
The SCR catalyst ammonia amount of storage and preprocessor actual temperature that reaction model calculates calculate urea injecting quantity, according to practical
The target ammonia filling rate of injection strategy, realizes the closed-loop control of urea injecting quantity.Model starts to can be set when first step operation
Initial ammonia amount of storage.
The present invention provides a kind of simulation and prediction technical method for vehicle PEMS test, can reduce engine emission exploitation examination
It tests cost and shortens the project development period, improve simulation and prediction speed and precision, while also testing road spectrum selection for PEMS and providing
Theoretical foundation.
Detailed description of the invention
Invention is further described in detail with reference to the accompanying drawings and detailed description.
Fig. 1 is flow chart of the invention.
Fig. 2 is that offline prediction result of the invention and PEMS survey NOx emission comparative result figure.
Specific embodiment
The present invention propose it is a kind of can the method discharged of relatively rapid and accurate prediction PEMS vehicle, this method is to starting
Machine frame universal characteristic raw emissions result carries out interpolation and the data processing of transmission function, simulation and prediction vehicle PEMS is added
Discharge can be improved simulation and prediction speed, reduces the expense of PEMS vehicle test and improve emitted smoke precision.
As shown in Figure 1, the simulated prediction method of the vehicle PEMS discharge of the invention based on Engine Universal Characteristics includes
Following step:
Step 1: whole-car parameters, Engine Universal Characteristics arteries and veins spectrum, rear place are obtained according to the technical data sheet that vehicle factor provides
Device parameter is managed, target vehicle CRUISE whole vehicle model, preprocessor BOOST Chemical Reaction Model, urea injection control mould are built
Type, engine pedestal and vehicle preprocessor temperature difference model.The present invention is by each model in Simulink (in MATLAB
A kind of Visual Simulation Tools) in carry out coupling control.
Wherein target vehicle CRUISE whole vehicle model, preprocessor BOOST Chemical Reaction Model, urea injection control mould
Type, the building method of engine pedestal and vehicle preprocessor temperature difference model and coupling control method are affiliated neck
Domain well-known technique.
Step 2: it the spectrum building of the road PEMS: is composed from the target vehicle CRUISE whole vehicle model export road PEMS, the road PEMS spectrum can adopt
Road spectrum is voluntarily constructed with actual measurement road spectrum or according to the speed of vehicle, time.
Step 3: the revolving speed torque information and water of engine under each time measuring point are exported from the road the PEMS spectrum in step 2
The actual environments information such as epidemic disaster, pressure.Actual environment information can according to need only selection export water temperature or simultaneous selection
Water temperature and humidity can also export water epidemic disaster and pressure with simultaneous selection.
Step 4: interpolation processing: including multiple engine speed torque values and each revolving speed in Engine Universal Characteristics arteries and veins spectrum
The corresponding engine raw emissions waste exhaust gases component of torque value, exhaust gas flow and exhaust gas temperature；By hair derived in step 3
Motivation revolving speed torque information imports Engine Universal Characteristics arteries and veins spectrum, and it is original to find corresponding engine under each operating condition of the road PEMS spectrum
Waste exhaust gases component, exhaust gas flow and exhaust gas temperature are discharged, or the road PEMS is calculated by four point interpolations and composes each operating condition
The original waste gas component of corresponding engine, exhaust gas flow and exhaust gas temperature down.
Step 5: transmission function processing: since the test data of operating point each in Engine Universal Characteristics is in work
It is recorded under condition stable state, such result does not account for the delay of actual exhaust air status condition and transient changing；Therefore it needs
To in step 4 waste gas component and exhaust gas flow bring waste gas component transmission function and exhaust gas flow transmission function into respectively and carry out
Calculation processing obtains the intermediate result data of waste gas component and exhaust gas flow.
The intermediate result data of waste gas component and exhaust gas flow can more really reflect the response of system under actual condition
Delay and transient changing；Wherein the parameter in waste gas component transmission function and exhaust gas flow transmission function needs preparatory foundation to start
The measured result of machine universal characteristic arteries and veins spectrum and waste gas component and exhaust gas flow is demarcated to obtain.
Step 6: temperature adjustmemt；Exhaust gas temperature obtained in step 4 is inputted into engine pedestal and vehicle preprocessor
Temperature difference model carries out that preprocessor actual temperature is calculated.
Operating condition under the same conditions, the exhaust gas flow of engine pedestal, the exhaust gas flow of exhaust gas temperature and vehicle, exhaust gas
Temperature has differences, the influence factor of the difference mainly from environmental factor and preprocessor temperature difference, wherein post-processing
Device temperature difference the transformation efficiency of catalyst is influenced it is maximum, vehicle and engine pedestal preprocessor temperature difference mainly from
Pipeline arrangement and cross-ventilation heat exchange, therefore after the preprocessor temperature that temperature difference model is calculated can be more nearly
The actual temperature of processor.
Step 7: by the optimum results data and step 6 of engine exhaust component obtained in step 5 and exhaust gas flow
Obtained preprocessor actual temperature input preprocessor BOOST Chemical Reaction Model and urea injection control model, BOOSTization
Learn the urea that reaction model is calculated according to the optimum results data and urea injection control model of waste gas component and exhaust gas flow
The amount of injection and preprocessor actual temperature calculate SCR catalyst outlet exhaust component and exhaust gas flow data and SCR catalysis
Device ammonia amount of storage, urea injection control model is according to the optimum results data and BOOST of waste gas component and exhaust gas flow chemistry
The SCR catalyst ammonia amount of storage and preprocessor actual temperature that reaction model calculates calculate urea injecting quantity, according to practical
The target ammonia filling rate of injection strategy, realizes the closed-loop control of urea injecting quantity.Model starts to can be set when first step operation
Initial ammonia amount of storage.
Fig. 2 is that the offline prediction result of the present invention and PEMS survey NOx emission Comparative result.For SCR catalyst, shadow
The principal element for ringing NOx emission is that raw emissions are horizontal, preprocessor temperature, urea injecting quantity, and Cong Tuzhong comparing result can be with
Find out, exhaust gas flow, preprocessor temperature, catalyst converter tail end NOx emission process PPM process data and final result g/kwh number
It is relatively good according to simulation and prediction result and measured result followability, it was demonstrated that method proposed by the present invention is effective, with traditional simulation side
Method is compared, and relatively rapid can obtain vehicle PEMS discharge with accurate.
Claims (1)
1. a kind of simulated prediction method of the vehicle PEMS discharge based on Engine Universal Characteristics, it is characterised in that including following step
It is rapid:
Step 1: whole-car parameters, Engine Universal Characteristics arteries and veins spectrum, preprocessor parameter are obtained, it is whole to build target vehicle CRUISE
Vehicle model, preprocessor BOOST Chemical Reaction Model, urea injection control model, engine pedestal and vehicle preprocessor temperature
Differential pattern is spent, each model is subjected to coupling control in Simulink；
Step 2: it the spectrum building of the road PEMS: is composed from the target vehicle CRUISE whole vehicle model export road PEMS；
Step 3: the revolving speed torque information and actual rings of engine under each time measuring point are exported from the road the PEMS spectrum in step 2
Border information；
Step 4: interpolation processing: importing Engine Universal Characteristics arteries and veins spectrum for engine speed torque information derived in step 3,
It finds the road PEMS and composes corresponding engine raw emissions waste exhaust gases component, exhaust gas flow and exhaust gas temperature under each operating condition, or
Person obtains corresponding engine raw emissions waste gas component, exhaust gas flow under each operating condition of the road PEMS spectrum by interpolation calculation and gives up
Gas temperature initial value；
Step 5: transmission function processing: by step 4 waste gas component and exhaust gas flow bring the exhaust gas demarcated in advance into respectively
Transfer components function and exhaust gas flow transmission function carry out calculation processing, obtain engine raw emissions waste gas component and waste gas stream
The optimal value of amount；
Step 6: temperature adjustmemt；Exhaust gas temperature obtained in step 4 is inputted into engine pedestal and vehicle preprocessor temperature
Differential pattern carries out that preprocessor actual temperature is calculated；
Step 7: the optimum results data and step 6 of engine exhaust component obtained in step 5 and exhaust gas flow are obtained
Preprocessor actual temperature input preprocessor BOOST Chemical Reaction Model and urea injection control model, BOOST chemistry is anti-
Model is answered to be sprayed according to the urea that the optimum results data and urea injection control model of waste gas component and exhaust gas flow calculate
Amount and preprocessor actual temperature, calculate SCR catalyst outlet exhaust component and exhaust gas flow data and SCR catalyst ammonia
Amount of storage, urea injection control model are chemically reacted according to the optimum results data and BOOST of waste gas component and exhaust gas flow
The SCR catalyst ammonia amount of storage and preprocessor actual temperature that model calculates calculate urea injecting quantity, according to actual ejection
The target ammonia filling rate of strategy, realizes the closed-loop control of urea injecting quantity.Model starts to can be set when first step operation initial
Ammonia amount of storage.
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| CN113158436A (en) * | 2021-03-29 | 2021-07-23 | 广西玉柴机器股份有限公司 | Method and related device for generating post-processing model by using virtual calibration system |
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| CN113158436A (en) * | 2021-03-29 | 2021-07-23 | 广西玉柴机器股份有限公司 | Method and related device for generating post-processing model by using virtual calibration system |
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