CN110243384B - Method, device, equipment and medium for determining actual driving emission test route - Google Patents

Method, device, equipment and medium for determining actual driving emission test route Download PDF

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CN110243384B
CN110243384B CN201910501400.3A CN201910501400A CN110243384B CN 110243384 B CN110243384 B CN 110243384B CN 201910501400 A CN201910501400 A CN 201910501400A CN 110243384 B CN110243384 B CN 110243384B
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target vehicle
route
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emission
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CN110243384A (en
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陈正东
于翔
李洪波
李保权
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Changchun Automotive Test Center Co ltd
FAW Group Corp
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FAW Group Corp
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3469Fuel consumption; Energy use; Emission aspects
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M17/00Testing of vehicles
    • G01M17/007Wheeled or endless-tracked vehicles

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Abstract

The invention discloses a method, a device, equipment and a medium for determining an actual driving emission test route, wherein the method comprises the following steps: collecting working condition parameters of a target vehicle in the driving process of a driving route to be tested; determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters; and verifying the normality and integrity of the CO2 window according to the instantaneous emission of CO2 based on the verification result of the driving condition and the dynamic characteristic of the target vehicle so as to determine the target driving route. The embodiment of the invention avoids the problems of complex operation and high cost caused by adopting PEMS equipment, and realizes simple and convenient determination of an RDE test route while improving the test efficiency and reducing the cost.

Description

Method, device, equipment and medium for determining actual driving emission test route
Technical Field
The embodiment of the invention relates to vehicle technology, in particular to a method, a device, equipment and a medium for determining an actual driving emission test route.
Background
With the improvement of living standard of people, the holding amount of motor vehicles shows a rapid growth trend. However, the motor vehicle emission pollution has become one of the main sources of atmospheric pollutants, and in order to more accurately detect the actual road driving pollutant conditions of vehicles and alleviate the increasingly serious atmospheric environmental pollution problems, an actual driving emission experiment (RDE) is proposed as a method for detecting the actual driving pollutant emission.
In order to ensure the success rate of the RDE test, before the RDE test is performed, an RDE route selection test needs to be performed, that is, a reasonable driving route is selected to perform the RDE test.
Currently, a Portable Emission Measurement System (PEMS) is used to perform an RDE driving route selection test. FIG. 1 is a schematic illustration of a prior art PEMS device installed on a target vehicle. As shown in fig. 1, the device has a large volume, and unknown road conditions cannot be predicted in the road spectrum acquisition process, so that the vehicle passing ability of a test vehicle is greatly reduced after the device is installed; the equipment is complex to install and disassemble, so that a lot of inconvenience and low efficiency are caused in the test process; the preheating and calibration time is long when the equipment runs; the equipment has high use cost and purchase price, and the equipment has high requirement on the equipping capacity; the RDE driving route selection needs to acquire a large amount of road spectrums, the required test data amount is large, but the road spectrum acquisition and verification does not need all emission measurement data of the equipment, and resource waste is caused.
Disclosure of Invention
In view of the above, the invention provides a method, an apparatus, a device and a medium for determining an actual driving emission test route, which can simply and conveniently determine an RDE driving route while improving test efficiency and reducing cost.
In a first aspect, an embodiment of the present invention provides a method for determining an actual driving emission test route, including:
collecting working condition parameters of a target vehicle in the driving process of a driving route to be tested;
determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters;
and verifying the normality and integrity of a CO2 window according to the instantaneous emission of the CO2 based on the verification result of the driving condition and the dynamic characteristic of the target vehicle so as to determine a target driving route.
In a second aspect, an embodiment of the present invention further provides an apparatus for determining an RDE driving route, including:
the acquisition module is used for acquiring working condition parameters of the target vehicle in the driving process of the driving route to be detected;
the first determination module is used for determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters;
and the second determination module is used for verifying the normality and integrity of a CO2 window according to the instantaneous emission of the CO2 based on the verification result of the running condition and the dynamic characteristic of the target vehicle so as to determine a target driving route.
In a third aspect, an embodiment of the present invention further provides an apparatus, where the apparatus includes:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of determining an actual emissions test route for driving as described in any of the above.
In a fourth aspect, a computer-readable storage medium has stored thereon a computer program which, when executed by a processor, implements a method of determining an actual-travel emission test course as recited in any of the above.
According to the method, the working condition parameters are collected through common data acquisition equipment, the instantaneous emission of CO2 is obtained through calculation, the normality and integrity of a CO2 window are verified according to the instantaneous emission of CO2 based on the verification result of the dynamic characteristics of the driving working condition of the target vehicle, the target driving route is determined, the problems of complexity and high cost of PEMS equipment are solved, the testing efficiency is improved, the cost is reduced, and meanwhile, the RDE testing route is determined simply and conveniently.
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FIG. 1 is a flow chart of a method for determining an actual emission test route according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for determining an actual emission test route according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a system for determining an actual emission test route according to an embodiment of the present invention;
FIG. 4 is a flow chart of another RDE trial route determination method provided by an embodiment of the invention;
FIG. 5 is a schematic diagram illustrating a driving route to be tested according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a verification result of a trip dynamics verification provided by an embodiment of the present invention;
FIG. 7 is a diagram illustrating the results of the normality and integrity verification of the CO2 window provided by the embodiment of the invention;
fig. 8 is a block diagram of an apparatus for determining an actual emission test route according to an embodiment of the present invention;
fig. 9 is a schematic diagram of a hardware structure of an apparatus according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
It should be noted that, in the process of the RDE test, although the driving route to be adopted by the target vehicle is not unified, the RDE test strictly defines the driving route, the driving condition, and the trip dynamics of the target vehicle during driving, and introduces verification methods such as "driving condition", "trip dynamics characteristic verification", and "normality and integrity verification of the CO2 window". When any of the three verification methods described above does not meet the requirements, the RDE test fails. However, in an actual driving test, due to the influence of various factors such as traffic conditions (e.g., congestion, normal and smooth), vehicle states (e.g., engine state, mileage and maintenance state), actual road conditions (e.g., road surface quality, road surface width and gradient), the above requirements are not met, and thus the test result fails. Therefore, the route of the RDE test needs to be reasonably selected and planned so as to ensure the success rate of the RDE test.
In the prior art, a PEMS device is adopted to select an RDE test route, but the PEMS device comprises a main control unit, a measuring unit, a flowmeter, a mounting bracket, a computer device (placed in a target vehicle) and the like, so that the defects of large volume, complex operation and purchase cost of the PEMS device are caused. The embodiment of the invention provides a method for simply and conveniently determining an RDE test route by adopting common data acquisition equipment.
Fig. 2 is a flowchart of a method for determining an actual emission test route according to an embodiment of the present invention, which may be implemented by an apparatus for determining an actual emission test route, and may be applied to a case where an RDE test route is simply and conveniently determined, where the method may be implemented by hardware and/or software, and may be generally integrated into a device for determining an actual emission test route. In an embodiment, the determination device of the actual emission test course is a computer device.
Referring to fig. 2, the method specifically includes the following steps:
and S110, collecting working condition parameters of the target vehicle in the driving process of the driving route to be tested.
The driving route to be tested refers to a route which accords with the RDE test route selection principle in the national six standards. Before the route of the RDE test is selected, in order to ensure the success rate of the RDE test, all driving routes on the set electronic map may be screened according to the route selection principle of the RDE test in the national six standards, so as to obtain a route meeting the route selection principle of the RDE test in the national six standards, and the route meeting the route selection principle of the RDE test is used as the driving route to be tested. Illustratively, table 1 is a comparison table of RDE trial routing rules, and as shown in table 1, the route sequence, total journey time, trial temperature, trial altitude and altitude between the starting and ending points in the RDE trial routing rules are specified. Of course, the RDE routing rule may also include the definition of other parameters, and the route sequence, the total travel time, and other parameters in the RDE routing rule are only exemplarily and specifically described herein.
TABLE 1 comparison table of RDE test route selection principle
Figure BDA0002090356170000051
Figure BDA0002090356170000061
It can be understood that, during the running process of the target vehicle in the high-speed section, the situation that the target vehicle runs according to the low-speed section can occur; however, during the low-speed travel, the travel may not be performed in the high-speed or medium-speed range. Wherein, in a low-speed section, the speed of the vehicle is 0-60 kilometers per hour (km/h); in the middle speed section, the speed is 60-90 km/h; in the high-speed section, the vehicle speed is 90-140 km/h.
Of course, in the RDE test routing principle, the driving condition of the target vehicle is also defined. Table 2 is a comparison table of the driving condition requirements of each road section in the RDE test route.
TABLE 2 comparison table of driving condition requirements of each road section in RDE test route
Figure BDA0002090356170000062
Figure BDA0002090356170000071
Here, the driving in urban areas, suburban areas, and highway sections is divided according to the instantaneous vehicle speed. Namely, the urban area is a low-speed section, the suburb is a medium-speed section, and the high speed is a high-speed section.
In the embodiment, after the driving route to be tested adopted by the target vehicle is determined, the working condition parameters of the target vehicle in the driving process of the driving route to be tested need to be collected. Wherein the operating condition parameters include one or more of: vehicle speed, engine speed, instantaneous fuel consumption, engine temperature, and accelerator pedal position. Wherein, different working condition parameters can be obtained by converting corresponding signals. Illustratively, table 3 is a table of Electronic Control Unit (ECU) signals and parameter names. As shown in table 3, the parameter names corresponding to different signals are also different. For example, the instantaneous oil consumption can be obtained by converting a FuelConsultiationInst signal. Wherein, the unit of the FuelConsumerationInst is ml/100ms, and the unit of the instantaneous oil consumption is ml/s, so that the instantaneous oil consumption can be obtained according to the FuelConsumerationInst conversion. Of course, other parameters can be obtained by converting the corresponding signals as shown in table 3.
TABLE 3 comparison table of ECU signals and parameter names
Signal Parameter name
VehicleSpeed_ABS Vehicle speed
EngineSpeed Rotational speed of engine
FuelConsumptionInst Instantaneous oil consumption
EngineTemperature Temperature of engine
AccelerationPedalPosition Position of accelerator pedal
And S120, determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters.
It should be noted that after the operating condition parameters of the target vehicle in the driving process of the driving route to be measured are obtained, the instantaneous emission of CO2 of the target vehicle is calculated according to the relationship between the operating condition parameters and the instantaneous emission of CO 2. In an embodiment, the instantaneous emission of CO2 of the target vehicle may be calculated directly based on the relationship between the instantaneous fuel consumption of the target vehicle and the instantaneous emission of CO 2. The relationship between the instantaneous fuel consumption and the instantaneous emission of CO2 may be preset.
And S130, verifying normality and integrity of a CO2 window according to the instantaneous emission of CO2 based on the verification result of the driving condition and the dynamic characteristic of the target vehicle so as to determine a target driving route.
The target driving route refers to a route where the target vehicle can perform an RDE test. In the embodiment, the travel dynamics characteristic of the driving route to be tested and the normality and integrity of a CO2 window are verified according to a dynamics-specific verification method and a normality and integrity verification method of a CO2 window in the national six standards, and if the driving condition, the dynamics characteristic and the normality and integrity of the CO2 window of a target vehicle meet preset standard requirements in the driving process of the driving route to be tested, the driving route to be tested is an RDE test route. The driving conditions, dynamics, and the normative requirements for normality and integrity of the CO2 window can be referred to in the prior art, and are not described in detail herein.
On the basis of the embodiment, the working condition parameters of the target vehicle in the driving process of the driving route to be tested can be acquired through the data acquisition equipment connected with an On Board Diagnostics (OBD) interface.
The data acquisition equipment refers to mobile equipment which can be used for acquiring working condition parameters of the target vehicle in the driving process in real time. Fig. 3 is a schematic structural diagram of a system for determining an actual driving emission test route according to an embodiment of the present invention. As shown in fig. 3, the OBD interface 210 is an interface on the target vehicle for monitoring the working conditions of the engine electronic control system and other functional modules of the vehicle in real time, and the data acquisition device 220 may establish a connection with the target vehicle through the OBD interface 210 to obtain the working condition parameters of the target vehicle in real time. Meanwhile, the data acquisition device 220 may establish a connection with the computer device 230 through its own USB interface to send the real-time acquired operating condition parameters to the computer device 230.
For example, the data acquisition device 220 may be an ISAAC tachograph. It should be noted that, when the ISAAC automobile data recorder is used to collect the operating condition parameters, the operating software and the computer real-time display software corresponding to the automobile data recorder need to be installed on the computer device 230 connected to the ISAAC automobile data recorder, and then the operating condition parameters can be analyzed and processed through the software. It should be noted that the ISAAC tachograph only needs to be connected to a Controller Area Network (CAN) bus in the OBD interface 210 to obtain the operating condition parameters acquired by the OBD in real time.
On the basis of the embodiment, the instantaneous emission of carbon dioxide CO2 of the target vehicle is determined according to the working condition parameters, specifically: and calculating the instantaneous emission of CO2 of the target vehicle according to the instantaneous oil consumption.
The calculation formula of the instantaneous emission of CO2 is as follows:
Figure BDA0002090356170000091
wherein, CO2The average value of (1) is the instantaneous emission of CO2, the value of FC1 is the instantaneous oil consumption, and the value of D is the density of the test fuel oil at 288K (15 ℃).
In the embodiment, in the process of acquiring the working condition parameters of the target vehicle in the driving process of the driving route to be detected, the instantaneous emission of CO2 of the target vehicle can be calculated directly according to a calculation formula between the instantaneous oil consumption and the instantaneous emission of CO2 by the acquired instantaneous oil consumption of the target vehicle. The calculation formula between the instantaneous oil consumption and the instantaneous emission of CO2 can be calculated according to the calculation formula about the fuel consumption of the vehicle with the gasoline engine. Specifically, the calculation formula of the fuel consumption of the vehicle equipped with the gasoline engine in the fuel consumption test method of the light automobile is as follows:
FC=0.1154/D×[0.866×HC+0.422×CO+0.273×CO2] (1)
wherein FC is fuel consumption, and the unit is liter per 100 kilometers (L/100 km); HC is measured hydrocarbon emissions in grams per kilometer (g/km); CO is measured as carbon monoxide emissions in grams per kilometer (g/km); CO22Measured as carbon dioxide emissions in grams per kilometer (g/km); d is the density of the test fuel at 288K (15 ℃), in kilograms per kilogramLiters (kg/L).
Carrying out a national model six I emission Test of a Worldwide unified Light vehicle Test Cycle (WLTC) Cycle on two Test vehicles respectively to obtain emission pollutant measured values of CO2, HC and CO, wherein the unit is gram per kilometer (g/km), and Test results are shown in table 1, namely, the fuel consumption proportion of NO. 1 vehicle CO2, CO and HC is respectively 99.782%, 0.00742% and 0.211%; the proportion of CO2, CO and HC in the No. 2 vehicle is 99.239%, 0.732% and 0.031%, respectively. The formula shows that the fuel consumption depends on CO2, CO and HC in exhaust pollutants, wherein the ratio of CO2 is more than 99.2%, so the influence of CO and HC on the fuel consumption is negligible. Equation (1) can be simplified as:
FC=0.1154/D×(0.273×CO2) (2)
converting equation (2) to obtain:
FC1=0.1154/D×(0.273×CO2)/100×1000×Vi/3600 (3)
wherein Vi is the instantaneous speed of the vehicle, and the unit is kilometers per hour (km/h); FC1 is the instantaneous fuel consumption in milliliters per second (ml/s). Wherein the instantaneous fuel consumption is instantaneous fuel consumption.
According to the measured instantaneous vehicle speed Vi and the measured carbon dioxide value CO of the vehicle2Can deduce CO2The instantaneous emissions measurement, which may also be recorded as the instantaneous CO2 emissions, yields:
CO2_1=CO2×Vi/3600 (4)
wherein, CO21 is CO2Instantaneous emissions measurements in grams per second (g/s).
Substituting equation (4) into equation (3) can obtain a calculation equation of the instantaneous emission of CO2, as follows:
Figure BDA0002090356170000111
wherein, CO2The average value of (1) is the instantaneous emission of CO2, the value of FC1 is the instantaneous oil consumption, and the value of D is the density of the test fuel oil at 288K (15 ℃).
In the embodiment, the corresponding instantaneous emission of CO2 can be directly obtained through instantaneous oil consumption calculation in the working condition parameters, the calculated instantaneous emission of CO2 is divided into a plurality of windows, and normality and integrity of a CO2 window are verified based on a CO2 characteristic curve, so that the normality and integrity of the CO2 window are simply and conveniently verified.
On the basis of the above embodiment, the determination method of the driving route to be tested includes:
screening all driving routes on a preset map based on a preset route selection condition; and taking the driving route which meets the preset route selection condition as the driving route to be tested.
The preset route selection condition refers to the route selection principle of the RDE test in the national six standards. In an embodiment, all driving routes on a preset map can be screened according to the RDE test route selection principle in the national six standard to obtain a route which meets the RDE test route selection principle in the national six standard, and the route is used as a driving route to be tested. The preset map is an electronic map in the prior art, such as a Baidu map, a Gade map, and the like. In the embodiment, all the existing routes on the electronic map are screened according to the preset route selection condition to obtain the driving route to be tested.
Fig. 4 is a flowchart of another method for determining an RDE test route according to an embodiment of the present invention. Referring to fig. 4, the method specifically includes the following steps:
and S310, measuring and collecting the CO2 emission value of the target vehicle in a preset laboratory.
The preset laboratory refers to a space where the target vehicle can perform a national six WLTC working condition emission test. It should be noted here that, in order to verify the integrity and normality of the CO2 window, the CO2 characteristic curve of the WLTC standard is obtained. Specifically, the window size may be defined based on the CO2 emissions of the WLTC test cycle according to the CO2 moving average window method. Wherein, the target vehicle is required to be placed in a preset laboratory for carrying out the national six WLTC working condition emission test, and the target vehicle is measured at a low-speed section, a high-speed section and an ultrahigh-speed section of the cycleThe average vehicle speed and the corresponding CO2 emissions are respectively recorded as Mco2_ Low speed、Mco2- _ high speed、Mco2_ ultra high speedThe unit is g/km. Meanwhile, the window is divided by taking the total emission of CO2 in the WTLC cycle as a reference value. Wherein, dividing according to the average speed of each window, and taking windows in urban areas when the average speed is less than 45km/h, suburban windows when the average speed is 45-80km/h, and high-speed windows when the average speed is more than 80 km/h. After the average vehicle speeds of the low speed section, the high speed section and the ultrahigh speed section and the corresponding CO2 emission amount are obtained, a CO2 emission characteristic curve is calculated so as to compare the CO2 instantaneous emission amount with the CO2 emission characteristic curve.
And S320, screening according to preset route selection conditions to obtain the driving route to be tested.
In the embodiment, all routes on the preset electronic map are screened according to the requirements in table 1 and table 2 in the above embodiment, so as to obtain a route which meets the rule of route selection about the RDE test in the national six standards, and the route is used as the driving route to be tested. Fig. 5 is a schematic display diagram of a driving route to be tested according to an embodiment of the present invention. Referring to fig. 5, the starting point in fig. 5 is a position where the target vehicle is to be started, the ending point is a destination to be reached by the target vehicle, and the route from the starting point to the ending point is a driving route to be measured to be traveled by the target vehicle.
And S330, acquiring road spectrum data of the target vehicle on the driving route to be tested.
In the embodiment, after the target vehicle finishes the logarithmic acquisition equipment, the target vehicle is actually driven on the driving route to be tested according to the working condition requirements in the national six standards. When the data acquisition equipment is an ISAAC (inverse synthetic aperture radar) automobile data recorder, the ISAAC automobile data recorder records working condition parameters of the whole test process from ignition to flameout of the engine at a frequency of 1HZ, wherein the working condition parameters can refer to parameter information shown in a table 3, and after the collection of the working condition parameters is completed, a test data file, namely road spectrum data, can be obtained.
S340, verifying the dynamic characteristics of the target vehicle in the driving process.
In the embodiment, after the road spectrum data of the target vehicle in the driving process of the driving route to be tested is obtained, the road spectrum data is compared with the preset working condition requirement for analysis, whether the road spectrum data meets the preset working condition requirement or not is determined, and if the road spectrum data meets the preset working condition requirement, the driving route to be tested meets the travel dynamics characteristics. In the embodiment, the dynamic characteristics of the target vehicle in the running process are verified by adopting a stroke dynamic characteristic verification program written by program software MATLAB. Fig. 6 is a schematic diagram of a verification result of a stroke dynamics verification provided in an embodiment of the present invention. As shown in fig. 6, the ratio between the total distance traveled by the target vehicle on the driving route to be tested, the urban mileage, the suburban mileage, and the high-speed mileage, and the total distance, and the average speed of each speed range are verified. For example, as shown in fig. 6, the urban mileage is 30.8km, which accounts for 37.6% of the total journey, and conforms to 29-44% specified in table 2, and for the verification of other parameters, the above verification method may be referred to, and details are not repeated here.
It should be noted that the target vehicle is greatly affected by road conditions and traffic conditions during traveling. In order to better assess the smoothness of the target vehicle during driving, the Relative Positive Acceleration (RPA) of each speed segment (e.g., urban, suburban, and high speed) and v × apos [95] in each speed segment can be used to determine whether the driving is smooth or violent. Where v apos [95] refers to the 95 th percentile of v apos in each velocity group. Wherein RPA is to ensure that the driving is not too gentle, and v apos [95] is to ensure that the driving is not too violent. For example, v × apos [95] ≦ 24.3556 in suburbs is standard, and RPA ≧ 0.058375 is also standard. Namely, the target vehicle does not have too gentle and too violent conditions in the driving process of the driving route to be tested.
And S350, verifying the normality and integrity of the CO2 window of the target vehicle in the driving process.
In the embodiment, the emission value of CO2 in the WLTC circulation working condition in the step S310 and the instantaneous emission value of CO2 of the target vehicle are verified, and whether the CO2 window of the target vehicle in the driving route to be tested in the driving process meets the normality and integrity of the CO2 window is determined. When the number of windows of the urban section, the suburban section and the high-speed section respectively accounts for more than 15% of the total number of windows, the integrity of the CO2 window is considered to pass the verification; when the windows of the urban, suburban and high-speed sections of more than 50% fall within the basic tolerance range defined by the specific curve of CO2, the normality verification of the CO2 window can be considered to be passed. Fig. 7 is a diagram illustrating the results of the verification of normality and integrity of a CO2 window according to an embodiment of the present invention. As shown in fig. 7, the total CO2 windows are 5672, wherein the urban CO2 windows are 3190, and the percentage is 56.2%; the suburb CO2 windows are 1342, and the percentage is 23.7%; the number of the high-speed CO2 windows is 1140, and the percentage is 20.1%, so that the number of the CO2 windows in each speed section reaches more than 15% of the total number of the windows, and the integrity verification of the CO2 windows is considered to be passed. Correspondingly, the emission of CO2 in the driving process of the driving route to be tested is verified according to the method for verifying the normality of the CO2 window in the prior art, and details are not repeated here.
And S360, determining a target driving route according to the driving condition of the target vehicle in the driving process, the verification result of the dynamic characteristic and the verification result of the normality and integrity of the CO2 window.
In an embodiment, when the running condition of the target vehicle in the running process, the verification result of the dynamic characteristic and the verification result of the normality and integrity of the CO2 window are all verified, it can be determined that the driving route to be tested meets the requirement of the RDE test route, that is, the driving route to be tested can be used as the RDE test route. Of course, in the actual acquisition process of the RDE test route, one-time success often cannot be achieved, and the driving route to be tested needs to be optimized and verified for multiple times, so that the RDE test route requirement can be met.
Fig. 8 is a block diagram of an apparatus for determining an emission test route in actual driving according to an embodiment of the present invention, which is suitable for determining an RDE test route simply and conveniently, and may be implemented by hardware/software. As shown in fig. 8, the apparatus includes: an acquisition module 410, a first determination module 420, and a second determination module 430.
The acquisition module 410 is used for acquiring working condition parameters of a target vehicle in the driving process of a driving route to be detected;
the first determination module 420 is used for determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters;
and the second determination module 430 is used for verifying the normality and the integrity of a CO2 window according to the instantaneous emission of the CO2 based on the verification result of the running condition and the dynamic characteristic of the target vehicle so as to determine a target driving route.
According to the technical scheme of the embodiment, working condition parameters are collected through common data acquisition equipment, instantaneous emission of CO2 is obtained through calculation, the normality and integrity of a CO2 window are verified according to the instantaneous emission of CO2 based on the verification result of the dynamic characteristics of the driving working condition of the target vehicle, the target driving route is determined, the problems that the adoption of PEMS equipment is complex and high in cost are solved, the testing efficiency is improved, the cost is reduced, and meanwhile, the RDE testing route is determined simply and conveniently.
On the basis of the above embodiment, the acquisition module is specifically configured to:
and acquiring working condition parameters of the target vehicle in the driving process of the driving route to be detected through data acquisition equipment connected with an OBD interface of the vehicle-mounted automatic diagnosis system.
On the basis of the above embodiment, the operating condition parameters include one or more of the following: vehicle speed, engine speed, instantaneous fuel consumption, engine temperature, and accelerator pedal position.
On the basis of the foregoing embodiment, the first determining module is specifically configured to:
and calculating the instantaneous emission of CO2 of the target vehicle according to the instantaneous oil consumption.
On the basis of the above embodiment, the calculation formula of the instantaneous emission of CO2 is as follows:
Figure BDA0002090356170000151
wherein, CO2The average value of (1) is the instantaneous emission of CO2, the value of FC1 is the instantaneous oil consumption, and the value of D is the density of the test fuel oil at 288K (15 ℃).
On the basis of the above embodiment, the determination method of the driving route to be tested includes:
screening all driving routes on a preset map based on a preset route selection condition;
and taking the driving route which meets the preset route selection condition as the driving route to be tested.
The device for determining the actual driving emission test route can execute the method for determining the actual driving emission test route provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 9 is a schematic diagram of a hardware structure of an apparatus according to an embodiment of the present invention. The apparatus in the embodiment of the present invention is explained taking as an example a determination apparatus for actually running an emission test course. As shown in fig. 9, the apparatus for determining an actual emission test course according to the embodiment of the present invention includes: a processor 510 and a memory 520, an input device 530, and an output device 540. The processor 510 in the determination device of the actual driving emission test route may be one or more, and fig. 9 illustrates one processor 510, and the processor 510, the memory 520, the input device 530 and the output device 540 in the determination device of the actual driving emission test route may be connected by a bus or in other ways, and fig. 9 illustrates connection by a bus. In the embodiment, the determination device that actually drives the emission test route is taken as a computer device as an example.
The memory 520 of the actual driving emission test route determination device is used as a computer readable storage medium for storing one or more programs, which may be software programs, computer executable programs and modules, such as program instructions/modules corresponding to the actual driving emission test route determination method provided by the embodiment of the present invention (for example, the modules in the charging management device shown in fig. 8, including the acquisition module 410, the first determination module 420 and the second determination module 430). The processor 510 executes various functional applications of the determination device of the actual-travel emission test course and data processing, that is, a determination method of the actual-travel emission test course in the above-described method embodiment, by executing software programs, instructions, and modules stored in the memory 520.
The memory 520 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory 520 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 520 may further include memory located remotely from processor 510, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 530 may be used to receive numeric or character information input by a user to generate key signal inputs related to user settings and function control of the terminal device. The output device 540 may include a display device such as a display screen.
And, when one or more programs included in the above-described computer device are executed by the one or more processors 510, the programs perform the following operations:
collecting working condition parameters of a target vehicle in the driving process of a driving route to be tested; determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters; and verifying the normality and integrity of a CO2 window according to the instantaneous emission of the CO2 based on the verification result of the driving condition and the dynamic characteristic of the target vehicle so as to determine a target driving route.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for determining an actual driving emission test route, the method including:
collecting working condition parameters of a target vehicle in the driving process of a driving route to be tested; determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters; and verifying the normality and integrity of a CO2 window according to the instantaneous emission of the CO2 based on the verification result of the driving condition and the dynamic characteristic of the target vehicle so as to determine a target driving route.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (7)

1. A method of determining an actual emissions test course, comprising:
collecting working condition parameters of a target vehicle in the driving process of a driving route to be tested;
the working condition parameters comprise instantaneous oil consumption;
the operating condition parameters further include one or more of: vehicle speed, engine temperature, and accelerator pedal position;
determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters;
the method for determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters comprises the following steps:
calculating the instantaneous emission of CO2 of the target vehicle according to the instantaneous oil consumption;
the calculation formula of the instantaneous emission of CO2 is as follows:
Figure FDA0003085376190000011
wherein, CO21 is the instantaneous emission of CO2, FC1 is the instantaneous oil consumption, and D is the density of the test fuel oil at 288K (15 ℃);
based on the verification result of the driving condition and the dynamic characteristic of the target vehicle, and according to the instantaneous emission of CO2, verifying the normality and the integrity of a CO2 window to determine a target driving route;
verifying the dynamics of the target vehicle, including:
after road spectrum data of the target vehicle in the driving process of the driving route to be tested are obtained, the road spectrum data and preset working condition requirements are compared and analyzed, whether the road spectrum data meet the preset working condition requirements or not is determined, and if yes, the driving route to be tested meets the dynamic characteristics.
2. The method of claim 1, wherein the collecting of the operating condition parameters of the target vehicle during the driving process of the driving route to be tested comprises:
and acquiring working condition parameters of the target vehicle in the driving process of the driving route to be detected through data acquisition equipment connected with an OBD interface of the vehicle-mounted automatic diagnosis system.
3. The method according to claim 1, wherein the driving route to be tested is determined in a manner comprising:
screening all driving routes on a preset map based on a preset route selection condition;
and taking the driving route which meets the preset route selection condition as the driving route to be tested.
4. An apparatus for determining an actual emission test course, comprising:
the acquisition module is used for acquiring working condition parameters of the target vehicle in the driving process of the driving route to be detected;
the working condition parameters comprise instantaneous oil consumption;
the operating condition parameters further include one or more of: vehicle speed, engine temperature, and accelerator pedal position;
the first determination module is used for determining the instantaneous emission of carbon dioxide CO2 of the target vehicle according to the working condition parameters;
the first determining module is specifically configured to:
calculating the instantaneous emission of CO2 of the target vehicle according to the instantaneous oil consumption;
the calculation formula of the instantaneous emission of CO2 is as follows:
Figure FDA0003085376190000021
wherein, CO21 is the instantaneous emission of CO2, FC1 is the instantaneous oil consumption, and D is the density of the test fuel oil at 288K (15 ℃);
the second determination module is used for verifying normality and integrity of a CO2 window according to the instantaneous emission of the CO2 based on the verification result of the driving condition and the dynamic characteristic of the target vehicle so as to determine a target driving route;
verifying the dynamics of the target vehicle, including:
after road spectrum data of the target vehicle in the driving process of the driving route to be tested are obtained, the road spectrum data and preset working condition requirements are compared and analyzed, whether the road spectrum data meet the preset working condition requirements or not is determined, and if yes, the driving route to be tested meets the dynamic characteristics.
5. The device according to claim 4, wherein the acquisition module is specifically configured to:
and acquiring working condition parameters of the target vehicle in the driving process of the driving route to be detected through data acquisition equipment connected with an OBD interface of the vehicle-mounted automatic diagnosis system.
6. An electronic device, characterized in that the device comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method of determining an actual emissions test route of travel as claimed in any one of claims 1 to 3.
7. A computer-readable storage medium on which a computer program is stored, the program, when being executed by a processor, implementing the method of determining an actual-travel emission test course according to any one of claims 1 to 3.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030187623A1 (en) * 2002-03-06 2003-10-02 Bayard David S. High accuracy inertial sensors from inexpensive components
CN102162772A (en) * 2010-12-24 2011-08-24 财团法人车辆研究测试中心 Device and the method for monitoring vehicle emissions
CN107883973A (en) * 2016-09-29 2018-04-06 奥迪股份公司 Method for selecting route for emission test
CN108562442A (en) * 2018-04-16 2018-09-21 沃尔沃汽车公司 Vehicle actual travel emission test device and method
CN108871362A (en) * 2018-06-12 2018-11-23 山东理工大学 A kind of environmentally friendly trip route planing method of automobile dynamic

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030187623A1 (en) * 2002-03-06 2003-10-02 Bayard David S. High accuracy inertial sensors from inexpensive components
CN102162772A (en) * 2010-12-24 2011-08-24 财团法人车辆研究测试中心 Device and the method for monitoring vehicle emissions
CN107883973A (en) * 2016-09-29 2018-04-06 奥迪股份公司 Method for selecting route for emission test
CN108562442A (en) * 2018-04-16 2018-09-21 沃尔沃汽车公司 Vehicle actual travel emission test device and method
CN108871362A (en) * 2018-06-12 2018-11-23 山东理工大学 A kind of environmentally friendly trip route planing method of automobile dynamic

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