CN109164249A - A kind of petrol engine lubricants performance appraisal procedure based on onboard diagnostic system - Google Patents
A kind of petrol engine lubricants performance appraisal procedure based on onboard diagnostic system Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 32
- 239000010705 motor oil Substances 0.000 title claims abstract description 24
- 239000000314 lubricant Substances 0.000 claims abstract description 75
- 239000010687 lubricating oil Substances 0.000 claims abstract description 40
- 230000008859 change Effects 0.000 claims abstract description 31
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 28
- 239000003921 oil Substances 0.000 claims abstract description 28
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 28
- 230000003647 oxidation Effects 0.000 claims abstract description 17
- 238000007254 oxidation reaction Methods 0.000 claims abstract description 17
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 6
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000005461 lubrication Methods 0.000 claims description 7
- 239000002253 acid Substances 0.000 claims description 6
- 238000006396 nitration reaction Methods 0.000 claims description 6
- 238000004073 vulcanization Methods 0.000 claims description 6
- 241001269238 Data Species 0.000 claims description 5
- 241000208340 Araliaceae Species 0.000 claims description 3
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims description 3
- 235000003140 Panax quinquefolius Nutrition 0.000 claims description 3
- 235000008434 ginseng Nutrition 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 abstract description 3
- 238000012360 testing method Methods 0.000 description 12
- 238000011056 performance test Methods 0.000 description 6
- 238000004364 calculation method Methods 0.000 description 4
- 239000002480 mineral oil Substances 0.000 description 4
- 235000010446 mineral oil Nutrition 0.000 description 4
- 230000000052 comparative effect Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
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- 239000010721 machine oil Substances 0.000 description 2
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- 239000000654 additive Substances 0.000 description 1
- 230000000996 additive effect Effects 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000002826 coolant Substances 0.000 description 1
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- 238000010438 heat treatment Methods 0.000 description 1
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- 238000009434 installation Methods 0.000 description 1
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- 238000012423 maintenance Methods 0.000 description 1
- 230000008450 motivation Effects 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000010525 oxidative degradation reaction Methods 0.000 description 1
- 230000001590 oxidative effect Effects 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012857 repacking Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
- 230000019635 sulfation Effects 0.000 description 1
- 238000005670 sulfation reaction Methods 0.000 description 1
- 230000000153 supplemental effect Effects 0.000 description 1
- 239000010689 synthetic lubricating oil Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/26—Oils; Viscous liquids; Paints; Inks
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Abstract
The petrol engine lubricants performance appraisal procedure based on onboard diagnostic system that the invention discloses a kind of, pass through onboard diagnostic system first, vehicle operating parameters corresponding to several different times in vehicle operation are obtained, and acquire corresponding moment engine lubricating oil oil sample；Then oily physicochemical property, oxidation stability and lubricating oil family variation detection are lubricated to the engine lubricating oil oil sample of acquisition and obtain lubricants performance parameter；Then data processing is carried out with corresponding lubricants performance parameter to the vehicle operating parameters of acquisition, seeks vehicle operating parameters comprehensive change amount and lubricants performance parametric synthesis variable quantity, and the model that theorizes；Finally by monitoring vehicle operating parameters and operating parameter comprehensive change amount is calculated, is brought into established theoretical model, the moment lubricants performance parametric synthesis variable quantity is calculated, realizes lubricants performance assessment.The present invention can develop engine oil life evaluation system for manufacturer and the user vehicle assessment drain period provides reference.
Description
Technical field
The invention belongs to engine lubricating oils to monitor field, be related to a kind of petrol engine lubricants performance appraisal procedure,
More particularly to a kind of petrol engine lubricants performance appraisal procedure based on onboard diagnostic system.
Background technique
Engine oil plays reduction friction, prevents from wearing, takes away the important function such as heat, cleaning engine, is fuel vehicle
The indispensable component part of engine work.Engine oil works under high temperature, aerobic conditions for a long time, unavoidably
Oxidative degradation, performance decline occurs, therefore needs to be replaced before lubricating oil is entirely ineffective.Oil change causes vehicle to tie up too early
Increased costs are protected, and waste lubricating oil is dealt with improperly that environment can be generated and greatly polluted.And oil change will lead to hair not in time
Motivation components excessive wear, brings about great losses, or even generates catastrophic effect, therefore, the Rational Change pair of engine oil
It is of great significance in saving vehicle maintenance cost, saving petroleum resources and reduce environmental pollution.
Currently, determine the engine lubricating oil drain period method there are mainly two types of, one is to engine lubricating oil into
Row performance obtained in laboratory test and analyze, determine Lubricant Degradation degree to determine whether to fail, this method energy Accurate Determining lubricating oil
The decay degree of each performance indicator, but the detection time of high testing cost, length restricts its application in ordinary user.Separately
A kind of method of determining drain period is that the distance travelled recommended according to automaker or the shop 4S is replaced.Institute of manufacturer
The oil drain interval and oil changing interval of recommendation, run under extreme conditions generally be directed to engine and determine, often relatively protect
It keeps, this extreme operating condition ordinary user is difficult to encounter, and causes many vehicle startup machine oil replacements excessively frequent, and vehicle runs shape
State such as idling, frequent start-stop etc. produces bigger effect the decay of engine oil, only can not be comprehensive by vehicle distance travelled
Reflect lubricants performance decay degree.
Some automakers and scholar attempt to use the sensor technologies such as calorifics, optics, electricity monitoring engine oil
State, but due to it is expensive by sensor, have a single function, design the installation limitation such as complexity so that sensor monitoring is started
The method of machine oil state is not used widely.
Important means of the onboard diagnostic system (OBD) as monitoring exhaust emissions, has become new listing vehicle indispensability system
System, with further strengthening for environmental protection consciousness, the application of onboard diagnostic system can further genralrlization.In onboard diagnostic system
The sensor of insertion is in addition to monitoring exhaust emissions, moreover it is possible to obtain vehicle real-time traffic information, diagnose to travel condition of vehicle.
Foreign countries have scholar to attempt to determine Lubricant Degradation journey using the variation of onboard diagnostic system monitoring engine coolant heating rate
Degree, regrettably during vehicle actual travel, this method also needs further to consider car load, hands over external environment heat
It changes and the influence of the factors such as travel condition of vehicle, although this method also fails to be entirely used for determining engine oil state, it is opened
The invasive onboard diagnostic system that is utilized explores the lube drain period, mentions for the research of vehicle lubricating oil drain period
A kind of new thinking is supplied.Currently, a kind of method that there is no unified determination drain period in the world, develops one kind and accurately may be used
It leans on, the high engine lubricating oil performance estimating method of feasibility is for promoting lubricating oil to replace important in inhibiting by matter.
Summary of the invention
It is an object of the invention to realize real-time, the efficient and convenient method of one kind to assess engine lubricating oil performance, tie
Close vehicle motor runing time, engine dead time, engine start number, vehicle fortune that onboard diagnostic system is monitored
The real time executions parameters such as row mileage, lubricating oil active time are lubricated oily laboratory to characterize the operating condition of vehicle
It is comprehensive to establish vehicle operating parameters for physicochemical property, Oxidation Stability and lubricating oil family mutation analysis, combined data processing method
The relational model between variable quantity and lubricants performance parametric synthesis variable quantity is closed, is commented with realizing by real-time vehicle operating parameter
Estimate the purpose of lubricants performance decay degree.
The technical scheme adopted by the invention is that: a kind of petrol engine lubricants performance based on onboard diagnostic system is commented
Estimate method, which comprises the following steps:
Step 1: by onboard diagnostic system, obtaining the operation of vehicle corresponding to several different times ginseng in vehicle operation
Number, and acquire corresponding moment engine lubricating oil oil sample；The vehicle operating parameters include lubricating oil active time, vehicle operation
Mileage, engine on time, engine dead time and engine start number；
Step 2: to the engine lubricating oil oil sample acquired in step 1 be lubricated oily physicochemical property, oxidation stability and
Lubricating oil family variation detection obtains lubricants performance parameter；The lubricants performance parameter includes lubrication total acid number of oil, starting
Oxidizing temperature, oxidation number, nitration value, vulcanization value and ZDTP value；
Step 3: data are carried out with the vehicle operating parameters and corresponding lubricants performance parameter obtained in step 2 to step 1
Processing, seeks vehicle operating parameters comprehensive change amount and lubricants performance parametric synthesis variable quantity, and the model that theorizes；
Step 4: by monitoring vehicle operating parameters and calculating operating parameter comprehensive change amount, bring the theoretical mould established into
In type, the moment lubricants performance parametric synthesis variable quantity is calculated, realizes lubricants performance assessment.
The beneficial effects of the present invention are:
(1) a kind of petrol engine lubricants performance appraisal procedure based on onboard diagnostic system of the invention only needs to measure
4~6 moment vehicle operating parameters and corresponding lubricants performance parameter can establish vehicle operating parameters and lubricants performance is joined
Relational model between number, model accuracy is high, realizes and is lubricated oily Performance Evaluation by vehicle operating parameters.
(2) a kind of petrol engine lubricants performance appraisal procedure based on onboard diagnostic system of the invention utilizes vehicle-mounted
Sensor embedded by diagnostic system, without installing additional or reequiping sensor and engine structure, i.e., in combination with intelligent mobile terminal
Vehicle real time execution parameter is obtained, engine oil life evaluation system can be developed for automaker and reference is provided.
(3) a kind of petrol engine lubricants performance appraisal procedure based on onboard diagnostic system of the invention combine it is low at
This onboard diagnostic system box and intelligent mobile terminal, can determine that the drain period provides guidance for vast car networking user.
Detailed description of the invention
Fig. 1 is the flow chart of the embodiment of the present invention；
Fig. 2 establishes operating parameter comprehensive change amount ω for what is established in the embodiment of the present invention 1i-driving parametersWith
γi-oil propertiesThe relational model of lubricants performance parametric synthesis variable quantity；
Fig. 3 establishes operating parameter comprehensive change amount ω for what is established in the embodiment of the present invention 2i-driving parametersWith
γi-oil propertiesThe relational model of lubricants performance parametric synthesis variable quantity；
Fig. 4 establishes operating parameter comprehensive change amount ω for what is established in the embodiment of the present invention 3i-driving parametersWith
γi-oil propertiesThe relational model of lubricants performance parametric synthesis variable quantity
Specific embodiment
Understand for the ease of those of ordinary skill in the art and implement the present invention, with reference to the accompanying drawings and embodiments to this hair
It is bright to be described in further detail, it should be understood that implementation example described herein is merely to illustrate and explain the present invention, not
For limiting the present invention.
Referring to Fig.1, a kind of petrol engine lubricants performance assessment side based on onboard diagnostic system provided by the invention
Method, comprising the following steps:
Step 1: using intelligent mobile terminal combination onboard diagnostic system, obtain several different times in vehicle operation
Vehicle operating parameters corresponding to (the present embodiment uses 4~6 different times), and acquire corresponding moment engine lubricating oil oil
Sample；Vehicle operating parameters include lubricating oil active time, vehicle distance travelled, engine on time, engine dead time
And engine start number；
Step 2: to the engine lubricating oil oil sample acquired in step 1 be lubricated oily physicochemical property, oxidation stability and
Lubricating oil family variation detection obtains lubricants performance parameter；Lubricants performance parameter includes lubrication total acid number of oil, initial oxidation
Temperature, oxidation number, nitration value, vulcanization value and ZDTP value；
Step 3: data are carried out with the vehicle operating parameters and corresponding lubricants performance parameter obtained in step 2 to step 1
Processing, seeks vehicle operating parameters comprehensive change amount and lubricants performance parametric synthesis variable quantity, and the model that theorizes；
Specific implementation includes following sub-step:
Step 3.1: being pre-processed to vehicle operating parameters corresponding to several different times in vehicle operation are obtained；
By carrying out data prediction divided by the initial value of the vehicle operating parameters respectively to each vehicle operating parameters, to eliminate
The difference of each Parameter units and the order of magnitude；Obtain pretreatment rear vehicle operating parameter xi(k), wherein i=0,1,2 ... ..., n are
Different times vehicle operating parameters value, xi(1)~xiIt (5) is respectively lubricating oil active time, vehicle distance travelled, engine fortune
Row time, engine dead time and engine start number；
Step 3.2: the first monitoring gained vehicle operating parameters of definition are referring to factor x0(k), other time data conducts
Comparative factor xi (k) passes through formula Δi(k)=| xi(k)-x0(k) | seek the relatively first monitoring parameters of each parameter of different times
Variable quantity, and utilize formulaFind out different moments vehicle operating parameters comprehensive change magnitude ωi；
Step 3.3: data prediction is carried out to the lubricants performance parameter of different moments；
It is each to eliminate by carrying out data prediction divided by the initial value of the performance parameter respectively to each lubricants performance parameter
The difference of Parameter units and the order of magnitude；Lubricants performance parameter is y after being pre-processedi(k), wherein i=0,1,2 ... ..., n
For different times lubricants performance parameter value, yi(1)~yi(6) be respectively lubrication total acid number of oil, initial oxidation temperature, oxidation number,
Nitration value, vulcanization value and ZDTP value；
Step 3.4: the lubricants performance parameter that definition measures for the first time is referring to factor y0(k), other time data conducts
Comparative factor yi(k), by formula Δ 'i(k)=| yi(k)-y0(k) | seek the relatively first monitoring parameters of each parameter of different times
Variable quantity, and utilize formulaFind out different moments lubricants performance parametric synthesis variation magnitude γi；
Step 3.5: the vehicle operating parameters and lubricants performance parametric synthesis that obtain in step 3.2 and step 3.4 are become
Change amount ωiAnd γiTheorize model；
Step 4: by monitoring vehicle operating parameters and calculating operating parameter comprehensive change amount, bring the theoretical mould established into
In type (linear model), the moment lubricants performance parametric synthesis variable quantity is calculated, realizes lubricants performance assessment.
Below in conjunction with attached drawing and application example, the working principle of the invention is described in further details.
Embodiment 1:
Operating condition road performance test in city is carried out to commercial mineral oil -1, monitors to obtain 6 differences using onboard diagnostic system
Period vehicle operating parameters and lab analysis obtain that corresponding lubricants performance parameter is as shown in table 1, and vehicle operating parameters include
Lubricating oil active time (ST), vehicle distance travelled (MIL), engine on time (EOT), engine dead time (ITE)
And vehicle launch number (NBS).Detect corresponding lubricants performance packet total acid number (TAN), initial oxidation temperature (OOT), oxidation number
(Oxidation), nitration value (Nitration), vulcanization value (Sulfation) and ZDTP additive relative consumption.
- 1 vehicle operating parameters of 1 mineral oil of table and lubricants performance parameter model tables of data
To obtained vehicle operating parameters and lubricants performance supplemental characteristic column respectively divided by data value corresponding to 47 days,
The unit and magnitude differences between different parameters are eliminated, data value is as shown in table 2 after being pre-processed.
The preprocessed operating parameter of table 2 and lubricants performance parameter value
Initial value definition data are referring to factor x0(test carry out 47 days corresponding to vehicle operating parameters value), other when
Issue is according to as comparative factor xi(vehicle operating parameters value corresponding to 76~200 days is carried out in test), passes through formula Δi(k)
=| xi(k)-x0(k) | variable quantity of the operating parameter with respect to initial value is solved, in conjunction with formulaWhen finding out different
Carve vehicle operating parameters comprehensive change magnitude ωi, such as x0(k)=[x0(1),x0(2),x0(3),x0(4),x0(5)]=
[1.0000,1.0000,1.0000,1.0000,1.0000], x1(k)=[x1(1),x1(2),x1(3),x1(4),x1(5)]=
[1.6170,1.8075,1.6943,1.6285,1.6463] utilize given formula Δi(k)=| xi(k)-x0(k) | it can obtain
Δ 1=[0.6170,0.8075,0.6943,0.6285,0.6463], in conjunction with formulaω can be obtained1=1.4875.
Using identical method, operating parameter comprehensive change amount ω can be calculatedi-driving parameters=[1.4875,0.6967,
0.5103,0.3969,0.3207].With same method, lubricants performance parametric synthesis variable quantity can be obtained
γi-oil propertiesOperating parameter comprehensive change amount is established in=[10.1925,4.8481,3.7639,3.1109,2.8722]
ωi-driving parametersWith γi-oil propertiesThe relational model of lubricants performance parametric synthesis variable quantity is as shown in Fig. 2, reason
It is y=6.4220x+0.5887 by model, wherein x is vehicle operating parameters comprehensive change amount, and y is lubricants performance parametric synthesis
Variable quantity, model R2=0.999, show model accuracy height.
It is to test with the obtained vehicle operating parameters of 230~410 days road performance test processes and lubricants performance parameter (table 3)
Data are demonstrate,proved, the accuracy of established model is verified, obtains Modulus Theory calculated value and laboratory testing assay value error such as 4 institute of table
Show, theoretical calculation and laboratory check that error range is -0.2470~-0.1147, show that this method precision of prediction is high.
3 vehicle operating parameters of table and lubricants performance Verification tables of data
4 lubricants performance parametric synthesis variable quantity calculated value of table and laboratory values
Embodiment 2:
Operating condition road performance test in city is carried out to another commercial mineral oil -2, vehicle operating parameters and lubricants performance parameter are such as
Shown in table 5, with the vehicle operation data and lubricants performance parameter of lubricating oil military service 19 days, 48 days, 79 days, 108 days and 137 days
For modeling data, the model that theorizes is as shown in Figure 3.Theoretical model is y=7.1277x+1.6753, and wherein x is vehicle operation
Parametric synthesis variable quantity, y are lubricants performance parametric synthesis variable quantity, model R2=0.950, show model accuracy height.With profit
The data verification model prediction accuracy that lubricating oil is on active service 156 days, after lubricating oil is on active service 156 days, vehicle operating parameters comprehensive change
Amount is 0.1843, and laboratory testing lubricants performance parametric synthesis variable quantity is 2.8907, theoretical calculation lubricants performance parameter
Comprehensive change amount is 2.9889, and calculated value and laboratory value error are 0.0982, and model prediction accuracy is high.
- 2 road performance test vehicle operating parameters of 5 mineral oil of table and lubricants performance parameter list
Embodiment 3:
City operating condition and city, mixed at high speed operating condition road performance test, vehicle are carried out respectively to two kinds of commercially available fully synthetic lubricating oil
Operating parameter and lubricants performance parameter are as shown in table 6.Full synthetic oil -1 is run under the working condition of city, is taken with lubricating oil
23 days, 54 days, 83 days and 114 days vehicle operation datas of labour and lubricants performance parameter are modeling data, and theorize model
As shown in Figure 4.Theoretical model is y=12.6790x+0.1610, and wherein x is vehicle operating parameters comprehensive change amount, and y is lubrication
The performance parameter combined variable quantity of oil, model R2=0.996, show that models fitting precision is high.With lubricating oil military service 143 days and 147
Day data is verify data proof theory model accuracy, lubricating oil military service 143 days and 147 days vehicle operating parameters comprehensive change amounts
Respectively 0.2096 and 0.2038, laboratory testing lubricants performance parametric synthesis variable quantity is respectively 3.0110 and 2.8164,
Theoretical calculation lubricants performance parametric synthesis variable quantity is respectively 2.8185 and 2.7450, calculated value and laboratory value
Error is respectively -0.1925 and -0.0714, and model prediction accuracy is high.
6 synthetic oil -1 of table and -2 road performance test vehicle operating parameters of synthetic oil and lubricants performance parameter list
Full synthetic oil -2 was city operating condition and high-speed working condition mixed running vehicle condition, with lubricating oil military service 25 days, 59 days, 93 days
And 123 days vehicle operation datas and lubricants performance parameter are modeling data, the model that theorizes is as shown in Figure 4.Theoretical mould
Type is y=21.4551x-0.2418, and wherein x is vehicle operating parameters comprehensive change amount, and y is lubricants performance parametric synthesis change
Change amount, model R2=0.998, show that models fitting precision is high.154 day datas are on active service as verify data proof theory using lubricating oil
Model accuracy, 154 days vehicle operating parameters comprehensive change amounts of lubricating oil military service are 0.1579, laboratory testing lubricants performance ginseng
Number synthesis variable quantity is 4.0351, and theoretical calculation lubricants performance parametric synthesis variable quantity is 3.1460, calculated value and reality
Testing room error detection value is 0.8891, and model prediction accuracy is high.
The present invention is comprehensive with test vehicle operating parameter comprehensive change amount and test lubricants performance in driving experimental basis
It closes variable quantity to theorize model, the relationship during characterization test between vehicle operating parameters and lubricants performance decay.Institute
The vehicle operating parameters prediction engine oil performance decline journey that the modeling method of proposition can be used for that onboard diagnostic system is combined to obtain
Degree, the Rational Change for the lube drain period provide reference.The method that engine oil state is monitored using onboard diagnostic system,
It does not need repacking vehicle or increases sensor, lay good basis for the popularization of this method.Onboard diagnostic system combination mobile phone is answered
It can realize that car owner obtains vehicle real-time traffic information whenever and wherever possible with program, and lubricating oil is calculated by given method
Operating status, the potential real time monitoring for realizing lubricating oil state.
It should be understood that the part that this specification does not elaborate belongs to the prior art.
It should be understood that the above-mentioned description for preferred embodiment is more detailed, can not therefore be considered to this
The limitation of invention patent protection range, those skilled in the art under the inspiration of the present invention, are not departing from power of the present invention
Benefit requires to make replacement or deformation under protected ambit, fall within the scope of protection of the present invention, this hair
It is bright range is claimed to be determined by the appended claims.
Claims (4)
1. a kind of petrol engine lubricants performance appraisal procedure based on onboard diagnostic system, which is characterized in that including following
Step:
Step 1: by onboard diagnostic system, vehicle operating parameters corresponding to several different times in vehicle operation are obtained,
And acquire corresponding moment engine lubricating oil oil sample；The vehicle operating parameters include in lubricating oil active time, vehicle operation
Journey, engine on time, engine dead time and engine start number；
Step 2: oily physicochemical property, oxidation stability and lubrication are lubricated to the engine lubricating oil oil sample acquired in step 1
Oil component variation detection obtains lubricants performance parameter；The lubricants performance parameter includes lubrication total acid number of oil, initial oxidation
Temperature, oxidation number, nitration value, vulcanization value and ZDTP value；
Step 3: data processing is carried out with the vehicle operating parameters and corresponding lubricants performance parameter obtained in step 2 to step 1,
Seek vehicle operating parameters comprehensive change amount and lubricants performance parametric synthesis variable quantity, and the model that theorizes；
Step 4: by monitoring vehicle operating parameters and calculating operating parameter comprehensive change amount, bring established theoretical model into
In, the moment lubricants performance parametric synthesis variable quantity is calculated, realizes lubricants performance assessment.
2. the petrol engine lubricants performance appraisal procedure according to claim 1 based on onboard diagnostic system, special
Sign is: in step 1, obtaining vehicle operating parameters using intelligent mobile terminal combination onboard diagnostic system.
3. the petrol engine lubricants performance appraisal procedure according to claim 1 based on onboard diagnostic system, special
Sign is: the specific implementation of step 3 includes following sub-step:
Step 3.1: being pre-processed to vehicle operating parameters corresponding to several different times in vehicle operation are obtained；
By carrying out data prediction divided by the initial value of the vehicle operating parameters respectively to each vehicle operating parameters, to eliminate each ginseng
The difference of number unit and the order of magnitude；Obtain pretreatment rear vehicle operating parameter xi(k), wherein i=0,1,2 ... ..., n are difference
Period vehicle operating parameters value, xi(1)~xi(5) when being respectively lubricating oil active time, vehicle distance travelled, engine operation
Between, engine dead time and engine start number；
Step 3.2: the first monitoring gained vehicle operating parameters of definition are referring to factor x0(k), other time datas as compare because
Sub- xi(k), pass through formula Δi(k)=| xi(k)-x0(k) | seek the variation of the relatively first monitoring parameters of each parameter of different times
Amount, and utilize formulaFind out different moments vehicle operating parameters comprehensive change magnitude ωi；
Step 3.3: data prediction is carried out to the lubricants performance parameter of different moments；
By carrying out data prediction divided by the initial value of the performance parameter respectively to each lubricants performance parameter, to eliminate each parameter
The difference of unit and the order of magnitude；Lubricants performance parameter is y after being pre-processedi(k), wherein i=0,1,2 ... ..., n are not
Same time lubricants performance parameter value, yi(1)~yiIt (6) is respectively lubrication total acid number of oil, initial oxidation temperature, oxidation number, nitrification
Value, vulcanization value and ZDTP value；
Step 3.4: the lubricants performance parameter that definition measures for the first time is referring to factor y0(k), other time datas as compare because
Sub- yi(k), by formula Δ 'i(k)=| yi(k)-y0(k) | seek the variation of the relatively first monitoring parameters of each parameter of different times
Amount, and utilize formulaFind out different moments lubricants performance parametric synthesis variation magnitude γi；
Step 3.5: to the vehicle operating parameters and lubricants performance parametric synthesis variable quantity obtained in step 3.2 and step 3.4
ωiAnd γiTheorize model.
4. the petrol engine lubricants performance assessment based on onboard diagnostic system according to claim 1 to 3
Method, it is characterised in that: theorize model described in step 3, is a linear model.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110991939A (en) * | 2019-12-24 | 2020-04-10 | 斑马网络技术有限公司 | Method and device for evaluating engine oil performance of vehicle and electronic equipment |
| CN110988311A (en) * | 2019-10-15 | 2020-04-10 | 一汽解放汽车有限公司 | Vehicle engine oil life diagnosis method and device, vehicle and storage medium |
| CN111091244A (en) * | 2019-12-16 | 2020-05-01 | 武汉材料保护研究所有限公司 | Engine lubricating oil change period prediction method |
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| CN112440903A (en) * | 2019-08-30 | 2021-03-05 | 康明斯有限公司 | System and method for customizing an oil change interval |
| CN110988311A (en) * | 2019-10-15 | 2020-04-10 | 一汽解放汽车有限公司 | Vehicle engine oil life diagnosis method and device, vehicle and storage medium |
| CN110988311B (en) * | 2019-10-15 | 2022-07-26 | 一汽解放汽车有限公司 | Vehicle oil life diagnosis method and device, vehicle and storage medium |
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| CN111091244A (en) * | 2019-12-16 | 2020-05-01 | 武汉材料保护研究所有限公司 | Engine lubricating oil change period prediction method |
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