CN106321265A - Method and system for identifying content of biodiesel in mixed fuel oil - Google Patents

Method and system for identifying content of biodiesel in mixed fuel oil Download PDF

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Publication number
CN106321265A
CN106321265A CN201610822844.3A CN201610822844A CN106321265A CN 106321265 A CN106321265 A CN 106321265A CN 201610822844 A CN201610822844 A CN 201610822844A CN 106321265 A CN106321265 A CN 106321265A
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parameter
biodiesel
electromotor
fuel oil
blending
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刘波澜
张超
董天普
张付军
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Beijing Institute of Technology BIT
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Beijing Institute of Technology BIT
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D41/00—Electrical control of supply of combustible mixture or its constituents
    • F02D41/0025—Controlling engines characterised by use of non-liquid fuels, pluralities of fuels, or non-fuel substances added to the combustible mixtures
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D19/00—Controlling engines characterised by their use of non-liquid fuels, pluralities of fuels, or non-fuel substances added to the combustible mixtures
    • F02D19/06—Controlling engines characterised by their use of non-liquid fuels, pluralities of fuels, or non-fuel substances added to the combustible mixtures peculiar to engines working with pluralities of fuels, e.g. alternatively with light and heavy fuel oil, other than engines indifferent to the fuel consumed
    • F02D19/08—Controlling engines characterised by their use of non-liquid fuels, pluralities of fuels, or non-fuel substances added to the combustible mixtures peculiar to engines working with pluralities of fuels, e.g. alternatively with light and heavy fuel oil, other than engines indifferent to the fuel consumed simultaneously using pluralities of fuels
    • F02D19/082—Premixed fuels, i.e. emulsions or blends
    • F02D19/085—Control based on the fuel type or composition
    • F02D19/087—Control based on the fuel type or composition with determination of densities, viscosities, composition, concentration or mixture ratios of fuels
    • F02D19/088—Control based on the fuel type or composition with determination of densities, viscosities, composition, concentration or mixture ratios of fuels by estimation, i.e. without using direct measurements of a corresponding sensor
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D41/00—Electrical control of supply of combustible mixture or its constituents
    • F02D41/0025—Controlling engines characterised by use of non-liquid fuels, pluralities of fuels, or non-fuel substances added to the combustible mixtures
    • F02D41/0047—Controlling exhaust gas recirculation [EGR]
    • F02D41/005—Controlling exhaust gas recirculation [EGR] according to engine operating conditions
    • F02D41/0052—Feedback control of engine parameters, e.g. for control of air/fuel ratio or intake air amount
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D41/00—Electrical control of supply of combustible mixture or its constituents
    • F02D41/02—Circuit arrangements for generating control signals
    • F02D41/14—Introducing closed-loop corrections
    • F02D41/1401—Introducing closed-loop corrections characterised by the control or regulation method
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D41/00—Electrical control of supply of combustible mixture or its constituents
    • F02D41/30—Controlling fuel injection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D41/00—Electrical control of supply of combustible mixture or its constituents
    • F02D41/02—Circuit arrangements for generating control signals
    • F02D41/14—Introducing closed-loop corrections
    • F02D41/1401—Introducing closed-loop corrections characterised by the control or regulation method
    • F02D2041/1433—Introducing closed-loop corrections characterised by the control or regulation method using a model or simulation of the system
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D2200/00—Input parameters for engine control
    • F02D2200/02—Input parameters for engine control the parameters being related to the engine
    • F02D2200/04—Engine intake system parameters
    • F02D2200/0406—Intake manifold pressure
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D2200/00—Input parameters for engine control
    • F02D2200/02—Input parameters for engine control the parameters being related to the engine
    • F02D2200/06—Fuel or fuel supply system parameters
    • F02D2200/0625—Fuel consumption, e.g. measured in fuel liters per 100 kms or miles per gallon
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D2200/00—Input parameters for engine control
    • F02D2200/02—Input parameters for engine control the parameters being related to the engine
    • F02D2200/08—Exhaust gas treatment apparatus parameters
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
    • F02D—CONTROLLING COMBUSTION ENGINES
    • F02D2200/00—Input parameters for engine control
    • F02D2200/02—Input parameters for engine control the parameters being related to the engine
    • F02D2200/10—Parameters related to the engine output, e.g. engine torque or engine speed
    • F02D2200/101—Engine speed

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Abstract

The invention provides an on-line identification method and device of biodiesel mixed fuel for a diesel engine. The method includes the steps of S1, collecting operation condition parameters of the engine, wherein the operation condition parameters comprise mixed fuel oil mass flow rate (with the symbol shown in the specification), the EGR rate r, the exhaust oxygen concentration qout, the inlet pressure Pin and the engine speed n; S2, importing the operation condition parameters into a neural network model established in advance for calculation to obtain the oxygen content qf of mixed fuel oil; and S3, obtaining the current volume concentration BDvol of biodiesel in the mixed fuel oil on the basis of the oxygen content qf of the mixed fuel oil. According to the method, the complexity of detecting oil products is lowered for users, the mixing proportion of the biodiesel in the mixed fuel oil in the actual use process is well represented, performance optimization of vehicles becomes possible when different oil products are used, and the economical efficiency is improved.

Description

A kind of to blending biodiesel content authentication method and system in fuel oil
Technical field
The present invention relates to diesel engine biodiesel fuel blend detection technique field, particularly relate to a kind of to blending in fuel oil Biodiesel content authentication method and identification systems, to the control method of electromotor and control system.
Background technology
Biodiesel carries out esterification gained typically by oil plant or animal oil with low molecule alcohols, and it is main Wanting component is fatty acid ester, is the complicated organic mixture that a kind of oxygen content is the highest.In biodiesel oil product analysis and production During, carry out detailed analysis frequently with gas chromatography, infrared spectrometry and mass spectrography composition each to biodiesel, protect In barrier product, the ratio of all kinds of materials is suitable.Wherein infrared spectrometry is used for measuring biodiesel and ordinary diesel oil mixing proportion tool Having stronger advantage, its finding speed is fast, repeatability is high.But this method needs special measuring instrument and adnexa, is usually used in Production of biodiesel factory and testing agency.
At present, many joining in ordinary diesel oil using certain proportion of biodiesel uses as fuel combination.Lead at passenger car Territory, during the use of user, makes regular check on fuel oil and specifically becomes branch to bring extra work amount, it is therefore desirable to add relevant Measurement equipment, completes electromotor to the automatic identification of the mixing proportion of biodiesel in fuel.
Summary of the invention
The first object of the present invention is to provide a kind of by gathering duty parameter, calculates and blend after importing neural network model The oxygen content of fuel oil, be then based on oxygen content obtain blending biodiesel volumetric concentration in fuel oil to blending biological bavin in fuel oil Oil content authentication method.
The second object of the present invention is to provide one and obtains biodiesel content authentication method in blending fuel oil according to above-mentioned After obtaining biodiesel volumetric concentration, the control method to electromotor.
The third object of the present invention be realize above-mentioned to blend biodiesel content authentication method in fuel oil to blending combustion Biodiesel content identification systems in oil.
Volume the 4th purpose that the present invention is is the control system to electromotor of the control method realizing above-mentioned electromotor.
In order to realize the first object of the present invention, the technical solution used in the present invention is:
A kind of to blending biodiesel content authentication method in fuel oil, comprise the following steps:
S1, the duty parameter of collection electromotor；Described duty parameter includes blending fuel mass flowEGR rate r, row Gas oxygen concentration qout, admission pressure Pin, engine speed n；
S2, described duty parameter is imported the neural network model that pre-builds calculate, obtain blending containing of fuel oil Oxygen amount qf；
S3, oxygen content q based on described blending fuel oilf, currently blended biodiesel volumetric concentration BD in fuel oilvol。
According to a preferred embodiment of the invention: wherein, also included before described step S1:
S01, gathers the sample data under different mixing proportion, duty parameters；
S02, sets up neural network model according to described sample data.
According to a preferred embodiment of the invention: wherein, step S02 includes: in Matlab Neural Network Toolbox, root Neural network model is set up according to described sample data.
In order to realize the second object of the present invention, the technical solution used in the present invention is:
A kind of control method to electromotor, according to biodiesel content authentication method in above-mentioned blending fuel oil, is given birth to Thing diesel fuel volume concentration BDvolAfterwards, including:
According to biodiesel volumetric concentration BDvolMake a look up in default control parameter adjustment table with duty parameter, obtain EGR rate that must be corresponding with current biological diesel oil mixing proportion and duty parameter adjusts parameter；
Parameter regulation EGR valve is adjusted according to described EGR rate.
According to a preferred embodiment of the invention: according to biodiesel volumetric concentration BDvolWith duty parameter in default control Parameter adjustment table processed makes a look up, it is thus achieved that the Injection Control ginseng corresponding with current biological diesel oil mixing proportion and duty parameter Number；
According to described Injection Control parameter adjustment fuel injection control strategy.
In order to realize the third object of the present invention, the technical solution used in the present invention is:
A kind of to blending biodiesel content identification systems in fuel oil, including:
Engine operating condition parameter acquisition devices, for gathering the duty parameter of current Diesel engine, and by described operating mode Parameter sends to data acquisition module；
Data acquisition module, for sending described duty parameter to neural network module；
Network neural module, for described duty parameter imports the neural network model pre-build, obtains blending combustion Oxygen content q of oilf, oxygen content q based on described blending fuel oilf, currently blended biodiesel volumetric concentration in fuel oil BDvol；
Wherein, described engine operating condition parameter acquisition devices includes:
EGR analyser, for gathering EGR rate r of electromotor, and sends described EGR rate r to data acquisition module；
Density of oxygen contained in discharged gas sensor, for gathering the density of oxygen contained in discharged gas q of electromotorout, and by described density of oxygen contained in discharged gas qout Send to data acquisition module；
Air inlet pressure sensor, for gathering the admission pressure P of electromotorin, and by described admission pressure PinSend to number According to acquisition module；
Speed probe, for gathering engine speed n of electromotor, and sends described engine speed n to data Acquisition module；
Fuel consumption meter, for gathering the blending fuel mass flow of electromotorAnd by described blending fuel mass flow Send to data acquisition module.
According to a preferred embodiment of the invention: wherein, described neural network model is based in different mixing proportion, operating modes The sample data gathered under parameter is set up.
According to a preferred embodiment of the invention: wherein, described neural network model is based on Matlab neutral net instrument In case, set up according to described sample data.
In order to realize the third object of the present invention, the technical solution used in the present invention is:
A kind of control system to electromotor, including above-mentioned to blending biodiesel content identification systems in fuel oil, also wraps Include:
EGR rate control module, for according to biodiesel volumetric concentration BDvolWith duty parameter in default control parameter Adjustment table makes a look up, it is thus achieved that the EGR rate corresponding with current biological diesel oil mixing proportion and duty parameter adjusts parameter, root Parameter regulation EGR valve is adjusted according to described EGR rate
According to a preferred embodiment of the invention: also include:
Injection Control module, for according to biodiesel volumetric concentration BDvolAdjust in default control parameter with duty parameter Whole table makes a look up, it is thus achieved that the Injection Control parameter corresponding with current biological diesel oil mixing proportion and duty parameter；
According to described Injection Control parameter adjustment fuel injection control strategy.
As it has been described above, according to the present invention to blending biodiesel content authentication method and identification systems in fuel oil, to sending out The control method of motivation and control system, by gathering the duty parameter of electromotor, this parameter includes fuel mass flow EGR rate r, density of oxygen contained in discharged gas qout, admission pressure Pin, engine speed n, duty parameter is imported in neural network model permissible Calculate fuel oxygen content qf, by fuel oxygen content qfBiodiesel volumetric concentration BD can be calculatedvol.And it is raw obtaining Thing diesel fuel volume concentration BDvolAfter, it is also possible to according to biodiesel volumetric concentration BDvolWith duty parameter in default control parameter Adjust table and search corresponding EGR rate adjustment parameter, parameter regulation EGR valve may finally be adjusted according to EGR rate, it is achieved to electromotor Control.
The method has the advantage that 1, alleviate user detects the complexity of oil product, to fuel oil during actually used Middle biodiesel mixing proportion has carried out good reproduction；2, in addition to realizing the automatic identification function of biodiesel mixing proportion, Also for the vehicle performance optimization when using different oil product provide may, improve economy；3, lead at passenger car for alternative fuel The popularization and application in territory are laid a good foundation.
Accompanying drawing explanation
Fig. 1 be the present invention to blending the method flow diagram of biodiesel content authentication method in fuel oil；
Fig. 2 is the method flow diagram of the control method to electromotor of the present invention；
Fig. 3 be the present invention to blending the structured flowchart of biodiesel content identification systems in fuel oil；
Fig. 4 is the structured flowchart of the control system to electromotor of the present invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention of greater clarity, below in conjunction with detailed description of the invention and join According to accompanying drawing, the present invention is described in more detail.
Fig. 1 be the present invention to blending the method flow diagram of biodiesel content authentication method in fuel oil.
Refering to shown in Fig. 1, a kind of to blending biodiesel content authentication method in fuel oil, comprise the following steps:
S1, the duty parameter of collection electromotor；Described duty parameter includes blending fuel mass flowEGR rate r, row Gas oxygen concentration qout, admission pressure Pin, engine speed n；Wherein EGR rate r is ER EGR Rate, represents: enter electromotor The ratio of exhaust air mass flow and total air-mass flow.
S2, described duty parameter is imported the neural network model that pre-builds calculate, obtain blending containing of fuel oil Oxygen amount qf；
S3, oxygen content q based on described blending fuel oilf, currently blended biodiesel volumetric concentration BD in fuel oilvol。
The present invention is by gathering the duty parameter of electromotor, and this parameter includes fuel mass flowEGR rate r, aerofluxus oxygen Concentration qout, admission pressure Pin, engine speed n, duty parameter is imported and neural network model can calculate fuel oxygen contains Amount qf, by fuel oxygen content qfBiodiesel volumetric concentration BD can be calculatedvol.Have the advantage that 1 by the method, Alleviate user and detect the complexity of oil product, biodiesel mixing proportion in fuel oil during actually used has been carried out well Reproduction；2, in addition to realizing the automatic identification function of biodiesel mixing proportion, it is also the vehicle performance when using different oil product Optimize and provide possible, improve economy；3, lay a good foundation in the popularization and application in passenger car field for alternative fuel.
In the present embodiment, wherein, also included before described step S1:
S01, gathers the sample data under different mixing proportion, duty parameters；
S02, sets up neural network model according to described sample data.
Step S02 can set up neutral net mould according to described sample data in Matlab Neural Network Toolbox Type, neural network model is easy to make.The present invention utilizes different mixing proportion, rotating speed, circulation oil mass and EGR rate to establish in a large number Duty parameter sample, completes training and the check of neural network model.The often group duty parameter of neural network model all stores There is blending fuel mass flowEGR rate r, density of oxygen contained in discharged gas qout, admission pressure Pin, engine speed n data.
In another preferred embodiment of the present invention, in described step S3,
Mixing proportion discrimination method is based on below equation:
BD v o l = f u n c t i o n ( q f ) = f u n c t i o n ( m · f , r , q o u t , P i n , n )
Wherein, BDvolFor biological diesel fuel volume concentration, qfFor fuel oxygen content,Fuel mass flow, r is EGR rate, qoutFor density of oxygen contained in discharged gas, PinFor admission pressure, n is engine speed.
For mixing proportion identification principle, the following detailed description of:
The biodiesel mixing proportion discrimination method of the present invention is difference based on biodiesel Yu ordinary diesel oil oxygen content. From oxygen concentration Conservation Relationship in cylinder of diesel engine before and after burning, after diesel engine in-cylinder combustion, under identical operating mode, use During biodiesel, density of oxygen contained in discharged gas relatively ordinary diesel oil is higher.
Define following parameter: fuel mass flowFresh air mass flowEGR rate r, exhaust air mass flowFuel oxygen level qf, fresh air oxygen content qair, waste gas oxygen content qout, can by the conservation of mass and oxygen concentration Conservation Relationship :
m · f + m · a i r = ( 1 - r ) · m · o u t
m · f · q f + m · a i r · q a i r = ( 1 - r ) · m · o u t · q o u t
Analyzing further and understand, density of oxygen contained in discharged gas can reflect the quality of burning, thus change with diesel engine condition and change Become, and there is certain relation between the two.By operating mode is identified and combines density of oxygen contained in discharged gas information, seek both Between relation, can identification draw the mixing proportion of biodiesel in fuel.
The present invention is used for Turbo-Charge Diesel Engine with Bio-Diesel Fuel mixing proportion identification.Diesel engine condition can be with diesel engine The combination of air inflow and fuel consumption represents, and diesel engine uses matter regulation, i.e. realizes load by regulation circulation oil mass Regulation.Theoretically, the air inflow of diesel engine is determined by rotating speed and admission pressure.
Additionally, the introducing of waste gas can affect the amount of fresh air in cylinder, and then affect in the present invention and burn in final vacuum Oxygen concentration, therefore one of critical parameter also serving as operating mode.
m · i n = m · a i r + r · m · o u t = f u n c t i o n ( P i n , n )
Bond quality conservation, oxygen concentration Conservation Relationship formula, can be derived from fuel oxygen level can be by following relational expression Calculate:
q f = ( 1 - r ) m · o u t q o u t - m · a i r q a i r m · f = m · f ( ( 1 - r ) q o u t + rq a i r ) + m · i n ( 1 - r ) ( q o u t - q a i r ) m · f
The critical parameter of diesel engine condition includes: EGR rate, admission pressure, engine speed and circulation oil mass.
Analyzing further and understand, biodiesel mixing proportion discrimination method proposed by the invention is by obtaining diesel engine Circulation oil mass, EGR rate, admission pressure and engine speed information carry out operating mode judgement, and combine that to measure the aerofluxus oxygen obtained dense Degree, brings the neural network model that the present invention establishes into and is analyzed, it is achieved the identification to biodiesel mixing proportion:
BD v o l = f u n c t i o n ( q f ) = f u n c t i o n ( m · f , r , q o u t , P i n , n )
Neural network model used in the present invention is set up based on Matlab Neural Network Toolbox, neutral net input ginseng The order of accuarcy of model is finally set up in the directly decision of the quality of number, it is therefore desirable to guarantee that inputting parameter has well with output parameter Mapping relations, the combination being simultaneously entered parameter also should be contained situation as much as possible, thus ensure the comprehensive of training sample Property and reliability.
Fig. 2 is the method flow diagram of the control method to electromotor of the present invention；
Refering to shown in Fig. 2, a kind of control method to electromotor, by above-mentioned to blending biodiesel content mirror in fuel oil The method of determining obtains biodiesel volumetric concentration BDvolAfterwards,
According to biodiesel volumetric concentration BDvolMake a look up in default control parameter adjustment table with duty parameter, obtain EGR rate that must be corresponding with current biological diesel oil mixing proportion and duty parameter adjusts parameter；
Parameter regulation EGR valve is adjusted according to described EGR rate.
With it, provide possible for the electromotor performance optimization when using different oil product, improve economy.
Control method to electromotor, also includes: according to biodiesel volumetric concentration and duty parameter in default control Parameter adjustment table makes a look up, it is thus achieved that the Injection Control ginseng corresponding with current biological diesel oil mixing proportion and duty parameter Number；
According to described Injection Control parameter adjustment fuel injection control strategy.This fuel injection control strategy can be by adjusting fuel oil The parameters such as quality, circulation air inflow, fuel injection pulsewidth, injection time, air-fuel ratio.Exhaust emissions can be reduced, improve electromotor Power and fuel economy.
Fig. 3 be the present invention to blending the structured flowchart of biodiesel content identification systems in fuel oil.
Refering to shown in Fig. 3, a kind of to blending biodiesel content identification systems in fuel oil, including:
Engine operating condition parameter acquisition devices 1, for gathering the duty parameter of current Diesel engine, and by described operating mode Parameter sends to data acquisition module；
Data acquisition module 2, for sending described duty parameter to neural network module；
Network neural module 3, for described duty parameter imports the neural network model pre-build, obtains blending combustion Oxygen content q of oilf, oxygen content q based on described blending fuel oilf, currently blended biodiesel volumetric concentration in fuel oil BDvol；Optimum, described neural network model is set up based on the sample data gathered under different mixing proportion, duty parameters. Further, described neural network model can be set up according to described sample data based in Matlab Neural Network Toolbox.
Wherein, described engine operating condition parameter acquisition devices 1 includes:
EGR analyser 11, for gathering EGR rate r of electromotor, and sends described EGR rate r to data acquisition module；
Density of oxygen contained in discharged gas sensor 12, for gathering the density of oxygen contained in discharged gas q of electromotorout, and by described density of oxygen contained in discharged gas qoutSend to data acquisition module；
Air inlet pressure sensor 13, for gathering the admission pressure P of electromotorin, and by described admission pressure PinSend extremely Data acquisition module；
Speed probe 14, for gathering engine speed n of electromotor, and sends described engine speed n to number According to acquisition module；
Fuel consumption meter 15, for gathering the blending fuel mass flow of electromotorAnd by described blending fuel mass flowSend to data acquisition module.
Engine operating condition parameter acquisition devices 1 can gather electromotor intermediate fuel oil mass flowEGR rate r, aerofluxus oxygen Concentration qout, admission pressure Pin, the information of engine speed n.Data acquisition module 2 will be sent to network god after information Through module 3, by network neural module 3 analyze Real-time Collection to every sensor and instrument parameter, it is achieved biodiesel is mixed The ONLINE RECOGNITION of mixed ratio, has the advantage identifying that quick discrimination is high.
In the present embodiment, wherein EGR rate uses the EGR5230 gas analyser of ECM company to measure, and circulates oil mass Being measured by fuel consumption meter, admission pressure and engine speed use Kistler company related sensor to be measured.This The well-to-do oxygen concentration sensor measuring employing Bosch company of bright middle density of oxygen contained in discharged gas.It is of course also possible to use other can be real Now the equipment of this function nor affects on the enforcement of the present embodiment.
Fig. 4 is the structured flowchart of the control system to electromotor of the present invention.
A kind of control system to electromotor, including above-mentioned to blending biodiesel content identification systems in fuel oil, also wraps Include:
EGR rate control module 4, for according to biodiesel volumetric concentration BDvolWith duty parameter in default control parameter Adjustment table makes a look up, it is thus achieved that the EGR rate corresponding with current biological diesel oil mixing proportion and duty parameter adjusts parameter, root Parameter regulation EGR valve is adjusted according to described EGR rate.
Network neural module 3 is connected with EGR rate control module 4, the biodiesel volumetric concentration that network neural module 3 obtains BDvolAfter be sent to EGR rate control module 4, EGR rate control module 4 calculates EGR rate and adjusts the EGR valve controlling electromotor after parameter Flow.There is provided possible for the electromotor performance optimization when using different oil product, improve economy.
In a preferred embodiment of the invention, this control system also includes:
Injection Control module 5, for according to biodiesel volumetric concentration BDvolWith duty parameter in default control parameter Adjustment table makes a look up, it is thus achieved that the Injection Control parameter corresponding with current biological diesel oil mixing proportion and duty parameter；
According to described Injection Control parameter adjustment fuel injection control strategy.
Achieve the EGR rate according to blending fuel oil and adjust fuel injection control strategy, for electromotor when using different oil product Performance optimization provides possible, improves economy.
It should be appreciated that the above-mentioned detailed description of the invention of the present invention is used only for exemplary illustration or explains the present invention's Principle, and be not construed as limiting the invention.Therefore, that is done in the case of without departing from the spirit and scope of the present invention is any Amendment, equivalent, improvement etc., should be included within the scope of the present invention.Additionally, claims purport of the present invention Whole within containing the equivalents falling into scope and border or this scope and border change and repair Change example.

Claims (10)

1. one kind to blending biodiesel content authentication method in fuel oil, it is characterised in that comprises the following steps:
S1, the duty parameter of collection electromotor；Described duty parameter includes blending fuel mass flowEGR rate r, aerofluxus oxygen Concentration qout, admission pressure Pin, engine speed n；
S2, described duty parameter is imported the neural network model that pre-builds calculate, obtain blending the oxygen content of fuel oil qf；
S3, oxygen content q based on described blending fuel oilf, currently blended biodiesel volumetric concentration BD in fuel oilvol。
Method the most according to claim 1, wherein, also included before described step S1:
S01, gathers the sample data under different mixing proportion, duty parameters；
S02, sets up neural network model according to described sample data.
Method the most according to claim 2, wherein, step S02 includes: in Matlab Neural Network Toolbox, according to Described sample data sets up neural network model.
4. the control method to electromotor, it is characterised in that obtain biodiesel according in any one of claim 13 Volumetric concentration BDvolAfterwards, including:
According to biodiesel volumetric concentration BDvolMake a look up in default control parameter adjustment table with duty parameter, it is thus achieved that with The EGR rate adjustment parameter that current biological diesel oil mixing proportion is corresponding with duty parameter；
Parameter regulation EGR valve is adjusted according to described EGR rate.
Control method to electromotor the most according to claim 4, also includes: according to biodiesel volumetric concentration BDvolWith Duty parameter makes a look up in default control parameter adjustment table, it is thus achieved that with current biological diesel oil mixing proportion and duty parameter Corresponding Injection Control parameter；
According to described Injection Control parameter adjustment fuel injection control strategy.
6. one kind to blending biodiesel content identification systems in fuel oil, it is characterised in that: including:
Engine operating condition parameter acquisition devices, for gathering the duty parameter of current Diesel engine, and by described duty parameter Send to data acquisition module；
Data acquisition module, for sending described duty parameter to neural network module；
Network neural module, for described duty parameter imports the neural network model pre-build, obtains blending fuel oil Oxygen content qf, oxygen content q based on described blending fuel oilf, currently blended biodiesel volumetric concentration BD in fuel oilvol；
Wherein, described engine operating condition parameter acquisition devices includes:
EGR analyser, for gathering EGR rate r of electromotor, and sends described EGR rate r to data acquisition module；
Density of oxygen contained in discharged gas sensor, for gathering the density of oxygen contained in discharged gas q of electromotorout, and by described density of oxygen contained in discharged gas qoutSend To data acquisition module；
Air inlet pressure sensor, for gathering the admission pressure P of electromotorin, and by described admission pressure PinSend to data acquisition Collection module；
Speed probe, for gathering engine speed n of electromotor, and sends described engine speed n to data acquisition Module；
Fuel consumption meter, for gathering the blending fuel mass flow of electromotorAnd by described blending fuel mass flowSend To data acquisition module.
System the most according to claim 6, wherein, described neural network model is based in different mixing proportions, operating mode ginseng The sample data of several lower collections is set up.
System the most according to claim 7, wherein, described neural network model is based on Matlab Neural Network Toolbox In, set up according to described sample data.
9. the control system to electromotor, it is characterised in that include firing blending described in any one of claim 68 Biodiesel content identification systems in oil, also include:
EGR rate control module, for according to biodiesel volumetric concentration BDvolWith duty parameter in default control parameter adjustment Table makes a look up, it is thus achieved that the EGR rate corresponding with current biological diesel oil mixing proportion and duty parameter adjusts parameter, according to institute State EGR rate and adjust parameter regulation EGR valve.
Control system to electromotor the most according to claim 9, also includes:
Injection Control module, for according to biodiesel volumetric concentration BDvolWith duty parameter at default control parameter adjustment table In make a look up, it is thus achieved that the Injection Control parameter corresponding with current biological diesel oil mixing proportion and duty parameter；
According to described Injection Control parameter adjustment fuel injection control strategy.
CN201610822844.3A 2016-09-13 2016-09-13 Method and system for identifying content of biodiesel in mixed fuel oil Pending CN106321265A (en)

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