CN109613905A - A kind of method and apparatus of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion - Google Patents
A kind of method and apparatus of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
- G05B23/0245—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
Abstract
A kind of good device of method of high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion is claimed in the present invention, interface is diagnosed by the OBD in heavy-duty commercial vehicle, and car-mounted terminal online monitoring system is installed, the speed of acquisition heavy-duty commercial vehicle actual motion in real time, diesel engine running state parameter, the signals such as engine fuel flow, the data information of acquisition uploads to cloud monitoring platform by GPRS technology in real time, the diagnostic module of the high oil consumption bad working environments of heavy-duty commercial vehicle actual motion is devised in cloud monitoring platform, high oil consumption bad working environments extraction module, realize the dynamic diagnosis to the high oil consumption bad working environments of heavy-duty commercial vehicle actual motion and extraction.There is high oil consumption operating condition in heavy-duty commercial vehicle actual motion in the present invention, the diagnosis and extracting method of the high oil consumption bad working environments of the heavy-duty commercial vehicle actual motion of proposition improve control strategy for oil consumption bad working environments optimization of region high in heavy-duty commercial vehicle actual motion for enterprise and provide technical support.
Description
Technical field
The present invention is a kind of based on car-mounted terminal online monitoring system realization dynamic diagnosis, the extraction practical fortune of heavy-duty commercial vehicle
The method and apparatus of the high oil consumption bad working environments of row, belong to the high oil consumption bad working environments dynamic diagnosis of heavy-duty commercial vehicle actual motion and mention
Take technology.
Background technique
2017, Chinese auto output 2901.5 ten thousand, sales volume 2887.9 ten thousand, be to continue to hold a post or title the whole world in continuous 9 years
Automobile volume of production and marketing first.After the rapid growth of continuous more than ten years, China Auto Market enters steady, sustainable growth period.With me
State's automobile volume of production and marketing and car ownership increase sharply, and China's energy demand also gradually increases, wherein being with consumption of petroleum again
Most.The number display of State Statistics Bureau, 2014, Chinese year consumption of petroleum amount broke through 500,000,000 tons for the first time, although annual China stone
Oil yield all grows steadily, but still far lags behind the step of oil consumption growth, Chinese dependence on foreign countries for oil in 2009
For the first time more than 50%, still Continued, has been even up to 59.34% in 2014, has formd to the energy security in China later
Huge threat.China's heavy-duty commercial vehicle quantity than passenger car much less, but its consumption fuel oil generally with passenger car phase
When.Since the specific gravity that China's heavy-duty commercial vehicle oil consumption accounts for automobile fuel consumption amount is maximum, oil consumption management urgency is than any country
It is all strong.If heavy-duty commercial vehicle oil consumption reduces by 10%, even if pressing heavy-duty commercial vehicle ownership more than 1,400 ten thousand of the end of the year 2012
Calculate, can at least save more than 900 ten thousand tons of petrol and diesel oils every year, is equivalent to the Fuel Dosage of more than 900 ten thousand family-sized cars, fuel-economizing effect
Fruit is huge.
The energy conservation of heavy-duty commercial vehicle and pollutant prevention and treatment are the key problems of China's motor vehicle Green Development.With energy consumption,
Emission regulation is increasingly stringent, and heavy-duty commercial vehicle faces bigger challenge in energy-conserving and emission-cutting technology optimization.China is to motor vehicle reality
The NO of operating conditionXMultinomial statutory standard has been promulgated in discharge, and especially in 2017, national government or local government are closely issued
Or the normative document relevant to the supervision of heavy-duty commercial vehicle actual discharge that will be issued or exposure draft up to eight.Wherein,
In April, 2017, GB3847 exposure draft is issued；July, publication HJ 845-2017 " diesel automobile in use exhaust contaminant measurement
Method and technique requirement "；Issue HJ 857-2017 " heavy-duty diesel vehicle, gaseous fuel vehicle exhaust pollutant vehicle load measurement October
Method and technique requirement "；Especially in December, 2017, Beijing Environmental Protection Agency has issued DB11/965-2017 " heavy-duty car simultaneously
Tailpipe emission limit value and measurement method (vehicle-mounted method Section IV, V stage) ", " heavy-duty car exhaust is dirty by DB11/1475-2017
Contaminate object emission limit and measurement method (the IV, the V stage of OBD method) ", " heavy-duty car nitrogen oxides is quick by DB11/1476-2017
Detection method and emission limit ", and implement December 20 in 2017.These Standard andRegulations are directed to the practical fortune of heavy-duty commercial vehicle
The detection of row discharge shows that environmental protection administration increasingly payes attention to the actual discharge supervision of heavy-duty commercial vehicle, is also increasingly stringenter.This
The implementation of a little regulations forms comprehensive supervision to the actual motion discharge of heavy-duty commercial vehicle.
The emphases of supervision of automobile pollution emission control turns to actual motion supervision substantially, is gradually forming full-time
The monitoring network of empty, a variety of detection techniques.But vehicle drum test room is also rested on for the supervision of heavy-duty commercial vehicle oil consumption,
GB/T27840-2011 " heavy type commercial vehicle fuel consumption measurement method " defines heavy-duty commercial vehicle using C-WTVC operating condition
Fuel consumption is measured, GB 30510-2014 " heavy type commercial vehicle fuel consumption limit value " defines heavy type commercial
The fuel consumption limit value of vehicle.However, heavy goods vehicles commercial vehicle is in actual use, fuel consumption is above type approval
Fuel consumption values, generally there is this phenomenon in entire automobile industry in this.Therefore, in existing fuel consumption measuring method and limit value
Under it is required that, the high oil consumption operating condition of heavy-duty commercial vehicle in actual operation is extracted in diagnosis, for supporting the excellent of VE Vehicle Economy
Change and demarcate, meets the fuel economy of vehicle in actual use, effectively reduce the fuel consumption of heavy-duty commercial vehicle, be conducive to
Reduce consumption of the entire automobile industry to petroleum-based energy.
The present invention monitors the fuel consumption and phase of heavy-duty commercial vehicle actual motion using car-mounted terminal online monitoring system
Operating parameter, the method and apparatus for inventing a kind of high oil consumption operating condition of dynamic diagnosis are closed, real time dynamic diagnosis and the high oil consumption of extraction are disliked
Bad operating condition, to provide high oil consumption bad working environments region and technical support for the oil consumption of heavy-duty commercial vehicle optimization.
Summary of the invention
The present invention diagnoses interface by the OBD in heavy-duty commercial vehicle and installs car-mounted terminal online monitoring system, acquires in real time
The signals such as speed, diesel engine running state parameter, the engine fuel flow of heavy-duty commercial vehicle actual motion, the data letter of acquisition
Breath uploads to cloud monitoring platform by GPRS technology in real time, and the high oil of heavy-duty commercial vehicle actual motion is devised in cloud monitoring platform
Diagnostic module, the high oil consumption bad working environments extraction module of bad working environments are consumed, and is saved in database in real time, is realized to heavy type commercial
The dynamic diagnosis of the high oil consumption bad working environments of vehicle actual motion and extraction.
A kind of method that high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion are claimed in the present invention first,
It is characterized by:
A: interface is diagnosed by the OBD in heavy-duty commercial vehicle, car-mounted terminal online monitoring system is installed, acquisition is heavy in real time
The signals such as speed, diesel engine running state parameter, the engine fuel flow of commercial vehicle actual motion；
B: speed, diesel engine running state parameter, engine fuel flow of the heavy-duty commercial vehicle actual motion of acquisition etc.
Signal data information uploads to cloud monitoring platform by GPRS technology in real time；
C: it according to the high oil consumption bad working environments diagnostic model of the heavy-duty commercial vehicle actual motion designed in cloud monitoring platform, adopts
Real-time diagnosis and high oil consumption operating mode's switch are carried out to the oil consumption of heavy-duty commercial vehicle with diagnosis algorithm；
D: the data after real-time diagnosis and high oil consumption operating mode's switch are carried out to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
By the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data stream information of synchronization, by operating condition piece
Segment data information is stored with cellular data mode, and is numbered.
Preferably, interface is diagnosed by the OBD in heavy-duty commercial vehicle in the step A and car-mounted terminal on-line monitoring system is installed
System acquires the signals such as speed, diesel engine running state parameter, the engine fuel flow of heavy-duty commercial vehicle actual motion in real time and wants
Asking should meet: the acquisition data frequency of speed is 1Hz.
Further, the high oil of heavy-duty commercial vehicle actual motion that the basis in the step C designs in cloud monitoring platform
Bad working environments diagnostic model is consumed, real-time diagnosis is carried out to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm and high oil consumption operating condition is known
Not, diagnosis algorithm specifically includes:
Step 1: operating condition divides；
Step 2: calculating the segment oil consumption of casual labourer's condition；
Step 3: calculating the opposite oil consumption factor；
Step 4: high oil consumption segment diagnosis.
Further, real-time diagnosis and high oil consumption the step D: are carried out to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
Data after operating mode's switch pass through the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data of synchronization
Stream information stores operating condition fragment data information with cellular data mode, and before being numbered, further includes:
It will be labeled as FHiHigh oil consumption bad working environments segment and its synchronization traffic flow information in the form of data group from original
It is extracted in data flow.
Further, real-time diagnosis and high oil consumption the step D: are carried out to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
Data after operating mode's switch pass through the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data of synchronization
Stream information stores operating condition fragment data information with cellular data mode, and after being numbered, further includes:
High oil consumption segment is extracted according to opposite oil consumption factor size, can carry out relevant vehicle working condition analysis,
The analytic functions such as engine operating condition analysis.
A kind of device of high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion is also claimed in the present invention,
It is characterized in that, comprising: car-mounted terminal online monitoring system, cloud monitoring platform and data inventory library, wherein
Car-mounted terminal online monitoring system is mounted on the OBD diagnosis interface of diesel vehicle, for acquiring heavy type commercial in real time
The signals such as speed, diesel engine running state parameter, the engine fuel flow of vehicle actual motion；
Cloud monitoring platform can be realized reception, diagnosis, the extraction to car-mounted terminal online monitoring system acquisition data
Operating condition, database storage function receive speed, the diesel engine running state parameter, hair of the heavy-duty commercial vehicle actual motion of acquisition
The signals such as motivation fuel flow rate pass through the real-time upload of GPRS technology, and further according to the weight designed in cloud monitoring platform
The high oil consumption bad working environments diagnostic model of type commercial vehicle actual motion carries out the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm real-time
Diagnosis and high oil consumption operating mode's switch carry out real-time diagnosis to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm and high oil consumption operating condition are known
Data after not pass through the extracting method of cloud monitoring platform, and the high oil consumption segment of extraction and the Monitoring data flow of synchronization are believed
Breath, operating condition fragment data information is stored with cellular data mode, and is numbered.
For the present invention there is high oil consumption operating condition in heavy-duty commercial vehicle actual motion, the heavy-duty commercial vehicle of proposition is real
Border runs the diagnosis and extracting method of high oil consumption bad working environments, severe for high oil consumption in heavy-duty commercial vehicle actual motion for enterprise
Conditioned area Optimal improvements control strategy provides technical support.
Detailed description of the invention
It is included to provide the attached drawing further recognized to published subject, this specification will be incorporated into and constitute this and said
A part of bright book.Attached drawing also illustrates the realization of published subject, and disclosed for explaining together with detailed description
The realization principle of theme.It is not attempt to show to be more than the knot needed to the basic comprehension of published subject and its a variety of practice modes
Structure details.
Attached drawing 1 is a kind of claimed high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion of the present invention
Method work flow diagram；
Attached drawing 2 is a kind of claimed high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion of the present invention
Device function structure chart.
Specific embodiment
Advantages of the present invention, feature and reach the method for the purpose will be bright by attached drawing and subsequent detailed description
Really.
Referring to attached drawing 1, it is severe that a kind of high oil consumption of Dynamic Recognition heavy-duty commercial vehicle actual motion is claimed in the present invention first
The method of operating condition, it is characterised in that:
A: interface is diagnosed by the OBD in heavy-duty commercial vehicle, car-mounted terminal online monitoring system is installed, acquisition is heavy in real time
The signals such as speed, diesel engine running state parameter, the engine fuel flow of commercial vehicle actual motion；
B: speed, diesel engine running state parameter, engine fuel flow of the heavy-duty commercial vehicle actual motion of acquisition etc.
Signal data information uploads to cloud monitoring platform by GPRS technology in real time；
C: it according to the high oil consumption bad working environments diagnostic model of the heavy-duty commercial vehicle actual motion designed in cloud monitoring platform, adopts
Real-time diagnosis and high oil consumption operating mode's switch are carried out to the oil consumption of heavy-duty commercial vehicle with diagnosis algorithm；
D: the data after real-time diagnosis and high oil consumption operating mode's switch are carried out to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
By the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data stream information of synchronization, by operating condition piece
Segment data information is stored with cellular data mode, and is numbered.
Interface is diagnosed by the OBD in heavy-duty commercial vehicle, car-mounted terminal online monitoring system is installed, acquire heavy quotient in real time
With signals such as the speed of vehicle actual motion, diesel engine running state parameter, engine fuel flows, the data information of acquisition passes through
GPRS technology uploads to cloud monitoring platform in real time, and it is severe that the high oil consumption of heavy-duty commercial vehicle actual motion is devised in cloud monitoring platform
The diagnostic module of operating condition, high oil consumption bad working environments extraction module, and it is saved in database in real time, it realizes to heavy-duty commercial vehicle reality
Run dynamic diagnosis and the extraction of high oil consumption bad working environments.
The car-mounted terminal online monitoring system should at least meet vehicle, engine operating condition parameter and fuel stream in table 1
Measure data acquisition and frequency acquisition requirement.(refer to DB11/1475-2017 " heavy-duty car tailpipe emission limit value and measurement
Method (the IV, the V stage of OBD method) " in annex G).
The data and frequency requirement of 1 car-mounted terminal online monitoring system of table acquisition
Further, the high oil of heavy-duty commercial vehicle actual motion that the basis in the step C designs in cloud monitoring platform
Bad working environments diagnostic model is consumed, real-time diagnosis is carried out to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm and high oil consumption operating condition is known
Not, diagnosis algorithm specifically includes: persistently carrying out vehicle operating parameters and fuel flow monitoring, and completes primary oil in 5min
Consumption diagnosis
Step 1: operating condition divides；Specific power VSP and instantaneous speed v is selected to join as the characterization of vehicle transient condition mode
Number, the calculation formula of VSP are shown in formula (1).
VSP=v (1.1a+0.132)+0.000302v3 (1)
In formula, VSP is vehicle specific power, kW/t；V is Vehicle Speed, m/s；A is vehicle instantaneous acceleration, m/s2。
Referring to the heavy goods vehicles Emission data analysis method of MOVES, microcosmic operational modal VSP Bin interval division is determined.Root
The section VSP Bin of vehicle is determined according to the different operating statuses (deceleration, idling, acceleration and at the uniform velocity) of vehicle and instantaneous VSP data.
Wherein the operating status of vehicle divides are as follows: deceleration, idling, 0~40km/h, the 5 speed areas 40~80km/h and 80km/h or more
Between section；For the demarcation interval of VSP since≤- 8kW/t, increment 2kW/t increases to 12kW/t or more, is altogether 12 sections.
It determines that VSP Bin is 38 sections by travel condition of vehicle and VSP Joint Distribution in this way, is shown in Table 1.Wherein Bin0 and Bin1 difference
It indicates to slow down and idling section, Bin2-13 is low speed (being less than 40km/h) section, Bin14-25 is the area middling speed (40-80km/h)
Between, Bin26-37 is high speed (being greater than 80km/h) section.Based on VSP Bin, according to the speed of instantaneous operating point, acceleration and
Instantaneous operating point is divided into different VSP Bin by VSP value according to the partitioning standards for meeting Bin, instantaneous operating point
The information flows such as fuel consumption values and engine speed, torque are divided into corresponding Bin with operating point.
The method is characterized in that the average fuel consumption per hundred kilometers that 5min short-term traffic flow adheres to different VSP Bin separately is calculated separately,
And the operating condition ratio that fuel economy regulation standard testing circulation C-WTVC operating condition adheres to different VSP Bin separately is calculated, by each VSP Bin's
Operating condition ratio product in the VSP Bin of average fuel consumption per hundred kilometers and C-WTVC operating condition is simultaneously summed, and obtains 5min traffic in short-term
Stream normalizes to the average fuel consumption per hundred kilometers of C-WTVC.Innovation of the invention is the 5min short-term traffic flow base of real-time monitoring
The C-WTVC operating condition for oil consumption detection is normalized in VSP Bin, and is compared with the oil consumption limit value of statutory standard, is judged
Whether real-time operating condition oil consumption belongs to high oil consumption operating condition.
2 v-VSP subregion of table
Step 2: calculating the segment oil consumption of casual labourer's condition；
Every 5min short-movie section running conditions of vehicle and fuel consumption data are divided into the corresponding microcosmic operational modal Bin of v-VSP
It is interior, it calculates all transient condition point oil consumption, calculation formula in each Bin and sees formula (2).
In formula, FRiIndicate total oil consumption of all operating points in i-th of Bin, L；FRjIndicate the oil consumption of instantaneous operating point, L/
h；TiIndicate the operating point number in i-th of Bin.
Operating point accumulated distance in each Bin is calculated, calculation formula is shown in formula (3).
In formula, MiIndicate the accumulated distance of all operating points in i-th of Bin, km；vjIndicate the speed of instantaneous operating point,
km/h；TiIndicate the operating point number in i-th of Bin.
The average fuel consumption per hundred kilometers in each Bin is calculated, calculation formula is shown in formula (4).
In formula, FCiIndicate the average fuel consumption per hundred kilometers of i-th of Bin, L/100km；FRiIndicate all operating conditions in i-th of Bin
Total oil consumption of point, L；MiIndicate the accumulated distance of all operating points in i-th of Bin, km.
According to the operating condition ratio of the average fuel consumption per hundred kilometers and 5min short-movie section of each Bin in each Bin, vehicle is calculated
The weighted average fuel consumption per hundred kilometers of 5min short-movie section, calculation formula are shown in formula (5).
In formula, FSkIndicate the weighted average fuel consumption per hundred kilometers of k-th of 5min short-movie section, L/100km；FCiIt indicates i-th
The average fuel consumption per hundred kilometers of Bin, L/100km；PiThe operating condition ratio for being 5min short-movie section operating condition in different Bin, dimensionless；
Step 3: calculating the opposite oil consumption factor；
Present invention introduces dimensionless group, the opposite oil consumption factor is shown in formula (6).
In formula, FkFor the opposite oil consumption factor in k-th of 5min short-movie section, dimensionless；FSkIndicate k-th of 5min short-movie section
Weighted average fuel consumption per hundred kilometers, L/100km；FlimitFor the oil consumption limit value of setting, the present invention refers to existing heavy type commercial vehicle
Fuel consumption standard limit GB30510-2014 determines fuel consumption limit value according to vehicle maximum design total mass (GVM)；
Step 4: high oil consumption segment diagnosis；
The opposite oil consumption factor for calculating k-th of 5min short-movie section sets opposite oil consumption factor limit as 1.0 (statistics experiences
Value, for reference), the opposite oil consumption factor is labeled as maximum discharge segment beyond 1.0 k-th of 5min short-movie section, by the fragment label
For FHi。
Further, real-time diagnosis and high oil consumption the step D: are carried out to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
Data after operating mode's switch pass through the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data of synchronization
Stream information stores operating condition fragment data information with cellular data mode, and before being numbered, further includes:
It will be labeled as FHiHigh oil consumption bad working environments segment and its synchronization traffic flow information in the form of data group from original
It is extracted in data flow.
Further, real-time diagnosis and high oil consumption the step D: are carried out to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
Data after operating mode's switch pass through the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data of synchronization
Stream information stores operating condition fragment data information with cellular data mode, and after being numbered, further includes:
High oil consumption segment is extracted according to opposite oil consumption factor size, can carry out relevant vehicle working condition analysis,
The analytic functions such as engine operating condition analysis.
A kind of device of high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion is also claimed in the present invention,
It is characterized in that, comprising: car-mounted terminal online monitoring system, cloud monitoring platform and data inventory library, wherein
Car-mounted terminal online monitoring system is mounted on the OBD diagnosis interface of diesel vehicle, for acquiring heavy type commercial in real time
The signals such as speed, diesel engine running state parameter, the engine fuel flow of vehicle actual motion；
Cloud monitoring platform can be realized reception, diagnosis, the extraction to car-mounted terminal online monitoring system acquisition data
Operating condition, database storage function receive speed, the diesel engine running state parameter, hair of the heavy-duty commercial vehicle actual motion of acquisition
The signals such as motivation fuel flow rate pass through the real-time upload of GPRS technology, and further according to the weight designed in cloud monitoring platform
The high oil consumption bad working environments diagnostic model of type commercial vehicle actual motion carries out the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm real-time
Diagnosis and high oil consumption operating mode's switch carry out real-time diagnosis to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm and high oil consumption operating condition are known
Data after not pass through the extracting method of cloud monitoring platform, and the high oil consumption segment of extraction and the Monitoring data flow of synchronization are believed
Breath, operating condition fragment data information is stored with cellular data mode, and is numbered.
Preferably, the car-mounted terminal online monitoring system of the OBD diagnosis interface installation of the heavy-duty commercial vehicle, acquires in real time
The semaphore requests such as speed, diesel engine running state parameter, the engine fuel flow of heavy-duty commercial vehicle actual motion should meet: vehicle
The acquisition data frequency of speed is 1Hz.
The cloud monitoring platform includes high oil consumption bad working environments diagnostic module, high oil consumption bad working environments extraction module；
The high oil consumption diagnostic module includes diagnosis algorithm；
The high oil consumption bad working environments diagnostic model of the heavy-duty commercial vehicle actual motion of design in the cloud monitoring platform uses
Diagnosis algorithm carries out real-time diagnosis to the oil consumption of heavy-duty commercial vehicle and high oil consumption operating mode's switch, diagnosis algorithm specifically include:
Step 1: operating condition divides；
Step 2: calculating the segment oil consumption of casual labourer's condition；
Step 3: calculating the opposite oil consumption factor；
Step 4: high oil consumption segment diagnosis.
The oil consumption diagnosis algorithm, step 1: operating condition divides.Select vehicle specific power VSP and instantaneous speed v as vehicle
The characterization parameter of microcosmic operational modal, the calculation formula of VSP are shown in formula (1).
(3) diagnosis algorithm, step 2: calculating the segment oil consumption of casual labourer's condition.By every 5min short-movie section running conditions of vehicle and
Fuel consumption data is divided into the corresponding microcosmic operational modal Bin of v-VSP, calculates all transient condition point oil consumption in each Bin, meter
It calculates formula and sees formula (2).Operating point accumulated distance in each Bin is calculated, the average fuel consumption per hundred kilometers in each Bin is calculated, is calculated
Formula is shown in formula (4).According to the operating condition ratio of the average fuel consumption per hundred kilometers and 5min short-movie section of each Bin in each Bin, calculate
The weighted average fuel consumption per hundred kilometers of vehicle 5min short-movie section, calculation formula are shown in formula (5).
(4) diagnosis algorithm, step 3: calculating the opposite oil consumption factor.Present invention introduces dimensionless group, opposite oil consumption
The factor, the present invention refer to existing heavy type commercial vehicle fuel consumption standard limit GB30510-2014, are set according to vehicle maximum
Meter gross mass (GVM) determines fuel consumption limit value.
(5) diagnosis algorithm, step 4: high oil consumption segment diagnosis.Calculate the opposite oil consumption of k-th of 5min short-movie section because
Son, setting opposite oil consumption factor limit is 1.0, the opposite oil consumption factor beyond 1.0 k-th of 5min short-movie section labeled as maximum discharge
The fragment label is FH by segmenti。
It will be mentioned labeled as the high oil consumption bad working environments segment of FHi and its traffic flow information of synchronization with data mode
It takes, and is stored, and realize calling and maximum discharge bad working environments fragment analysis.
The high oil consumption bad working environments extraction module, further includes:
It will be labeled as FHiHigh oil consumption bad working environments segment and its synchronization traffic flow information in the form of data group from original
It is extracted in data flow.
The high oil consumption bad working environments extraction module, further includes:
High oil consumption segment is extracted according to opposite oil consumption factor size, can carry out relevant vehicle working condition analysis,
The analytic functions such as engine operating condition analysis.
The invention patent provides the above case study on implementation just for the sake of the description purpose of the present invention, and is not intended to limit this hair
Bright range.The scope of the present invention is defined by the following claims.It does not depart from spirit and principles of the present invention and makes various
Equivalent alterations and modifications should all cover within the scope of the present invention.
Claims (10)
1. a kind of method of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion, it is characterised in that:
A: interface is diagnosed by the OBD in heavy-duty commercial vehicle, car-mounted terminal online monitoring system is installed, acquire heavy type commercial in real time
The signals such as speed, diesel engine running state parameter, the engine fuel flow of vehicle actual motion；
B: the signals such as speed, diesel engine running state parameter, engine fuel flow of the heavy-duty commercial vehicle actual motion of acquisition
Data information uploads to cloud monitoring platform by GPRS technology in real time；
C: according to the high oil consumption bad working environments diagnostic model of the heavy-duty commercial vehicle actual motion designed in cloud monitoring platform, using examining
Disconnected algorithm carries out real-time diagnosis and high oil consumption operating mode's switch to the oil consumption of heavy-duty commercial vehicle；
D: the data after being carried out real-time diagnosis and high oil consumption operating mode's switch to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm are passed through
The extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data stream information of synchronization, by operating condition segments
It is believed that breath is stored with cellular data mode, and it is numbered.
2. a kind of method of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion as described in claim 1,
It is characterized in that:
Interface is diagnosed by the OBD in heavy-duty commercial vehicle in the step A, car-mounted terminal online monitoring system is installed, acquired in real time
The semaphore requests such as speed, diesel engine running state parameter, the engine fuel flow of heavy-duty commercial vehicle actual motion should meet: vehicle
The acquisition data frequency of speed is 1Hz.
3. a kind of method of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion as described in claim 1,
It is characterized in that:
The high oil consumption bad working environments diagnosis of the heavy-duty commercial vehicle actual motion that basis in the step C designs in cloud monitoring platform
Model carries out real-time diagnosis to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm and high oil consumption operating mode's switch, diagnosis algorithm is specific
Include:
Step 1: operating condition divides；
Step 2: calculating the segment oil consumption of casual labourer's condition；
Step 3: calculating the opposite oil consumption factor；
Step 4: high oil consumption segment diagnosis.
4. a kind of dynamic diagnosis as described in claim 1 extracts diesel vehicle actual motion NOXThe method of maximum discharge bad working environments,
It is characterized by:
The step D: after carrying out real-time diagnosis and high oil consumption operating mode's switch to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
Data pass through the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data stream information of synchronization, by work
Condition fragment data information is stored with cellular data mode, and before being numbered, further includes:
It will be labeled as FHiHigh oil consumption bad working environments segment and its synchronization traffic flow information in the form of data group from initial data
It is extracted in stream.
5. a kind of dynamic diagnosis as described in claim 1 extracts diesel vehicle actual motion NOXThe method of maximum discharge bad working environments,
It is characterized by:
The step D: after carrying out real-time diagnosis and high oil consumption operating mode's switch to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
Data pass through the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data stream information of synchronization, by work
Condition fragment data information is stored with cellular data mode, and after being numbered, further includes:
High oil consumption segment is extracted according to opposite oil consumption factor size, relevant vehicle working condition analysis can be carried out, started
The analytic functions such as machine performance analysis.
6. a kind of device of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion characterized by comprising vehicle-mounted
Terminal online monitoring system, cloud monitoring platform and data inventory library, wherein
Car-mounted terminal online monitoring system is mounted on the OBD diagnosis interface of diesel vehicle, real for acquiring heavy-duty commercial vehicle in real time
The signals such as speed, diesel engine running state parameter, the engine fuel flow of border operation；
Cloud monitoring platform can be realized to the car-mounted terminal online monitoring system acquisition reception of data, diagnosis, extract operating condition,
Database storage function receives speed, the diesel engine running state parameter, engine combustion of the heavy-duty commercial vehicle actual motion of acquisition
The signals such as stream amount pass through the real-time upload of GPRS technology, and further according to the heavy type commercial designed in cloud monitoring platform
The high oil consumption bad working environments diagnostic model of vehicle actual motion, using diagnosis algorithm to the oil consumption of heavy-duty commercial vehicle carry out real-time diagnosis and
High oil consumption operating mode's switch, after carrying out real-time diagnosis and high oil consumption operating mode's switch to the oil consumption of heavy-duty commercial vehicle using diagnosis algorithm
Data pass through the extracting method of cloud monitoring platform, by the high oil consumption segment of extraction and the monitoring data stream information of synchronization, by work
Condition fragment data information is stored with cellular data mode, and is numbered.
7. a kind of device of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion as claimed in claim 7,
It is characterized in that, further includes:
The car-mounted terminal online monitoring system of the OBD diagnosis interface installation of the heavy-duty commercial vehicle, acquires heavy-duty commercial vehicle in real time
The semaphore requests such as speed, diesel engine running state parameter, the engine fuel flow of actual motion should meet: the acquisition number of speed
It is 1Hz according to frequency.
8. a kind of device of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion as claimed in claim 7,
It is characterized in that, further includes:
The cloud monitoring platform includes high oil consumption bad working environments diagnostic module, high oil consumption bad working environments extraction module；
The high oil consumption diagnostic module includes diagnosis algorithm；
The high oil consumption bad working environments diagnostic model of the heavy-duty commercial vehicle actual motion of design in the cloud monitoring platform, using diagnosis
Algorithm carries out real-time diagnosis to the oil consumption of heavy-duty commercial vehicle and high oil consumption operating mode's switch, diagnosis algorithm specifically include:
Step 1: operating condition divides；
Step 2: calculating the segment oil consumption of casual labourer's condition；
Step 3: calculating the opposite oil consumption factor；
Step 4: high oil consumption segment diagnosis.
9. a kind of device of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion as claimed in claim 9,
It is characterized in that, further includes:
The high oil consumption bad working environments extraction module, further includes:
It will be labeled as FHiHigh oil consumption bad working environments segment and its synchronization traffic flow information in the form of data group from initial data
It is extracted in stream.
10. a kind of device of the high oil consumption bad working environments of Dynamic Recognition heavy-duty commercial vehicle actual motion as claimed in claim 9,
It is characterized in that, further includes:
The high oil consumption bad working environments extraction module, further includes:
High oil consumption segment is extracted according to opposite oil consumption factor size, relevant vehicle working condition analysis can be carried out, started
The analytic functions such as machine performance analysis.
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