CN116046416A

CN116046416A - Method and device for testing running resistance of vehicle, electronic equipment and medium

Info

Publication number: CN116046416A
Application number: CN202310147241.8A
Authority: CN
Inventors: 谢飞; 郭平; 周立斌; 廖庚华; 史彦博; 侯添伟; 安博野
Original assignee: FAW Jiefang Automotive Co Ltd
Current assignee: FAW Jiefang Automotive Co Ltd
Priority date: 2023-02-21
Filing date: 2023-02-21
Publication date: 2023-05-02

Abstract

The invention discloses a method, a device, electronic equipment and a medium for testing running resistance of a vehicle. The method comprises the following steps: acquiring to-be-processed sliding data corresponding to a vehicle to be tested, and processing the to-be-processed sliding data to obtain to-be-used sliding data; acquiring at least one test taxi speed corresponding to each taxi reference speed, and dividing the at least one test taxi speed to obtain at least one sectional speed interval and at least one taxi test speed in the sectional speed interval; determining the running resistance of the vehicle to be tested based on at least one sliding test vehicle speed in the current sectional speed interval, the corresponding sliding attribute and the whole vehicle mass of the vehicle to be tested; and determining a test result based on the running resistance, and determining whether to reacquire the interval sliding data of the speed interval to be supplemented corresponding to the test result for carrying out the supplementing test. The method and the device have the advantages of improving the quality of sliding data, improving the testing accuracy and achieving the effect of reducing the testing cost.

Description

Method and device for testing running resistance of vehicle, electronic equipment and medium

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, an electronic device, and a medium for testing running resistance of a vehicle.

Background

In recent years, the running resistance of the whole vehicle is an important factor affecting the economy of the whole vehicle, and the running resistance of the whole vehicle is usually tested before or during the online application of the whole vehicle. Meanwhile, due to the characteristics of large mass and long sliding distance of some heavy vehicles, the test vehicle speed needs to be measured in a partitioned manner by adopting a sectional sliding method.

When the test is performed by using the sectional sliding method, a large amount of test data is collected to test the running resistance. In the process, the problem of poor accuracy of the test result due to poor quality of the collected data exists, and meanwhile, if the test result is invalid, all running resistance tests need to be carried out again in a selected period, so that the problems of test resource waste, test period extension and the like are caused.

Disclosure of Invention

The invention provides a method, a device, electronic equipment and a medium for testing vehicle running resistance, which are used for improving the testing accuracy and reducing the testing cost while improving the quality of sliding data.

According to an aspect of the present invention, there is provided a method of testing a running resistance of a vehicle, the method comprising:

acquiring to-be-processed sliding data corresponding to a vehicle to be tested, and processing the to-be-processed sliding data to obtain to-be-used sliding data;

acquiring at least one test taxi speed corresponding to each reference taxi speed from the taxi data to be used, and dividing the at least one test taxi speed to obtain at least one sectional speed interval and at least one taxi test vehicle speed in the sectional speed interval;

for each segmented speed interval, determining the running resistance of the vehicle to be tested based on at least one sliding test vehicle speed and corresponding sliding attribute in the current segmented speed interval and the whole vehicle mass of the vehicle to be tested;

and determining a test result for testing the running resistance of the vehicle to be tested based on the running resistance, and determining whether to reacquire the interval sliding data of the speed interval to be supplemented corresponding to the test result to carry out the supplement test on the running resistance of the vehicle to be tested.

According to another aspect of the present invention, there is provided an apparatus for testing running resistance of a vehicle, the apparatus comprising:

The to-be-used sliding data determining module is used for acquiring to-be-processed sliding data corresponding to the vehicle to be tested, and processing the to-be-processed sliding data to obtain to-be-used sliding data;

the sectional speed interval determining module is used for acquiring at least one test sliding speed corresponding to each sliding reference speed from the sliding data to be used, dividing the at least one test sliding speed, and obtaining at least one sectional speed interval and at least one sliding test speed in the sectional speed interval;

the running resistance determining module is used for determining the running resistance of the vehicle to be tested based on at least one sliding test vehicle speed in the current sectional speed interval, the corresponding sliding attribute and the whole vehicle mass of the vehicle to be tested;

and the test result determining module is used for determining a test result for testing the running resistance of the vehicle to be tested based on the running resistance and determining whether to re-acquire the interval sliding data of the speed interval to be supplemented corresponding to the test result to supplement the running resistance of the vehicle to be tested.

According to another aspect of the present invention, there is provided an electronic apparatus including:

At least one processor; and

a memory communicatively coupled to the at least one processor; wherein,,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of testing vehicle resistance to travel according to any one of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute a method of testing vehicle running resistance according to any one of the embodiments of the present invention.

According to the technical scheme, the to-be-used sliding data are obtained by acquiring to-be-processed sliding data corresponding to the vehicle to be tested and processing the to-be-processed sliding data; acquiring at least one test taxi speed corresponding to each reference taxi speed from taxi data to be used, and dividing the at least one test taxi speed to obtain at least one sectional speed interval and at least one taxi test vehicle speed in the sectional speed interval; determining the running resistance of the vehicle to be tested based on at least one sliding test vehicle speed in the current sectional speed interval, the corresponding sliding attribute and the whole vehicle mass of the vehicle to be tested; the method comprises the steps of determining a test result of testing the running resistance of the vehicle to be tested based on the running resistance, determining whether to re-acquire interval sliding data of a speed interval to be supplemented corresponding to the test result to supplement the running resistance of the vehicle to be tested, solving the problems of poor accuracy and long period of the test result caused by a segmented sliding method test in the prior art, processing the to-be-processed sliding data after the to-be-tested sliding data are acquired, obtaining high-quality to-be-used sliding data, further determining the test sliding speed in the to-be-used sliding data according to each sliding reference speed, dividing at least one test sliding speed, and ensuring the accuracy of division of the segmented speed interval and the quality of data in the interval.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method of testing vehicle travel resistance according to a first embodiment of the present invention;

FIG. 2 is a schematic diagram of characterizing segment speed intervals provided in accordance with an embodiment of the present invention;

FIG. 3 is a flow chart of a method for testing vehicle resistance to travel provided in accordance with a second embodiment of the present invention;

FIG. 4 is a flow chart of a method of testing vehicle travel resistance according to a third embodiment of the invention;

FIG. 5 is a schematic representation of a characterization contrast curve provided in accordance with a third embodiment of the present invention;

FIG. 6 is a schematic diagram of a method for testing a driving resistance of a vehicle according to a fourth embodiment of the present invention;

FIG. 7 is a schematic view of a device for testing the running resistance of a vehicle according to a fifth embodiment of the present invention;

fig. 8 is a schematic structural view of an electronic device implementing a method of testing running resistance of a vehicle according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Before the technical scheme is introduced, an application scene can be described. For example, before a vehicle is on line or during use, in order to ensure driving safety, a whole vehicle sliding test method is generally applied to test the driving resistance of the vehicle, and after test data of the whole vehicle sliding test are collected, the test data can be analyzed to determine a test result for testing the driving resistance of the vehicle. Specifically, the technical scheme provided by the embodiment of the invention can be adopted for implementation.

Example 1

Fig. 1 is a flowchart of a method for testing vehicle running resistance according to an embodiment of the present invention, where the method may be performed by a device for testing vehicle running resistance, and the device for testing vehicle running resistance may be implemented in hardware and/or software, and the device for testing vehicle running resistance may be configured in a computing device. As shown in fig. 1, the method includes:

s110, acquiring to-be-processed sliding data corresponding to the vehicle to be tested, and processing the to-be-processed sliding data to obtain to-be-used sliding data.

The vehicle to be tested is understood to be a vehicle whose running resistance properties need to be determined, for example a heavy vehicle. The to-be-processed taxi data can include, but is not limited to, a test taxi speed, mileage and time corresponding to each test taxi speed, and the like.

In this embodiment, a whole vehicle sliding test method may be used to perform a sliding test on a vehicle to be tested, in the sliding process of the vehicle, sliding test data may be collected, and the sliding test data may be used as to-be-processed sliding data, where the to-be-processed sliding data is raw untreated whole vehicle sliding test data. In order to improve the test accuracy of the sliding test, whether the data is valid or not can be judged by automatically processing the sliding data to be processed, for example, the data which accords with the conditions is regarded as valid, the data is regarded as the sliding data to be used, and the data which does not accord with the conditions is screened out or processed to a certain extent, and the data is converted into valid data to be used as the sliding data to be used. The condition may be preset, for example, may be a filtering condition such as an invalid value, a missing value, etc., for example, assuming that the to-be-processed sliding data includes a record of the missing data, the record may be marked as invalid, and the record may be updated by using an average value replacement manner, so that the record is valid, and the correctness of the data is ensured.

S120, acquiring at least one test coasting speed corresponding to each coasting reference speed from the coasting data to be used.

The reference sliding vehicle speed can be a test vehicle speed used in a sliding test process. The respective sliding reference vehicle speeds have a certain sequence, and in practical application, the whole vehicle sliding test is performed based on the sequence of the respective sliding reference vehicle speeds, for example, 85, 80, 75, 70, 65, 60, 55, 50, 45, 40, etc., and the vehicle speed unit may be km/h.

In the present embodiment, the test coasting speed that coincides with each coasting reference speed may be extracted from the coasting data to be used based on each coasting reference speed in the vehicle speed test sequence.

For example, according to a target test sequence (for example, the respective reference vehicle speeds of the taxis are 85, 80, 75, 70, 65, 60, 55, 50 in sequence), the corresponding vehicle speed, time, distance and other data in the to-be-used taxis data may be extracted, and the test taxis sequentially extracted may be: 85. 80, 75, 85, 80, 75, 70, 80, 75, 70, 65, etc., such that each of the extracted test coast speeds corresponds to a coast reference vehicle speed.

S130, dividing at least one test coasting speed to obtain at least one sectional speed section and at least one coasting test speed in the sectional speed section.

It should be noted that, in order to improve the accuracy of the running resistance test of the vehicle to be tested, the test vehicle speed may be measured in intervals by adopting a sectional sliding method. For example, according to the segmented speed intervals, the sliding test of one speed interval is continuously completed according to the sequence from high speed interval to low speed interval, for example, the sliding test of the next speed interval is continuously completed from 85 to 75, for example, the sliding test of the next speed interval is completed from 80 to 70, 85 to 75 are one speed interval, 80 to 70 are one speed interval, and the sliding test of each speed interval obtains multiple groups of test data. For example, the test data are: 85. 80, 75; 85. 80, 75; 85. 80, 75, representing that the 85-75 glide interval was tested 3 times, containing three sets of test data. Accordingly, the taxi data to be used has a segmentation attribute.

In the present embodiment, a plurality of segment speed sections may be identified by analyzing each of the test coast speeds, and the test coast speed contained in each segment speed section may be taken as the coast test speed. Specifically, the implementation manner of dividing the at least one test coasting speed to obtain the at least one segment speed interval and the at least one coasting test vehicle speed in the segment speed interval may be: determining at least one coasting deceleration zone based on each test coasting speed; at least one of the at least one segment speed interval and the at least one coast test vehicle speed in the segment speed interval is determined based on the same coast reduction interval and the corresponding coast vehicle speed.

In this embodiment, the deceleration section may be identified based on each test coasting speed, and the deceleration section may be defined as a coasting deceleration section, for example, 85, 80, 75 are defined as one coasting deceleration section. Accordingly, a plurality of coasting deceleration zones can be obtained. The same coast deceleration zone may be taken as one segment speed zone, and the coast speeds in the coast deceleration zone may all be taken as the coast test speeds in the segment speed zone. For example, referring to FIG. 2, the coast test vehicle speeds in the segment speed intervals 85-75 are 85, 80, 75; 85. 80, 75; 85. 80, 75; 85. 80, 75. The coasting test vehicle speed in the segment speed interval 80-70 is 80, 75, 70; 80. 75, 70; 80. 75, 70; 80. 75, 70.

For example, an effective coast deceleration zone in each test coast speed may be identified, start and stop points of continuous effective coast deceleration may be determined, and relevant data may be extracted. According to the sliding deceleration interval and sequence recorded in the test process, the extracted vehicle speed range (namely the segmented speed interval) and the test times are automatically generated, and all process data can be stored into a result file for use.

And S140, for each sectional speed interval, determining the running resistance of the vehicle to be tested based on at least one sliding test vehicle speed and corresponding sliding attribute in the current sectional speed interval and the whole vehicle mass of the vehicle to be tested.

Wherein, the sliding attribute comprises sliding time, sliding distance and the like.

In the actual vehicle running process, the running resistance of the whole vehicle includes air resistance, rolling resistance, gradient resistance, acceleration resistance, and the like. Because the acceleration process is not carried out in the sliding test, that is, the acceleration resistance is not carried out, the gradient of the test road is smaller and is generally calculated in the rolling resistance, the running resistance of the whole vehicle in the sliding process comprises the air resistance and the rolling resistance. The running resistance of the vehicle to be tested corresponding to each segment speed interval is determined in the same way, and any segment speed interval can be used as the current segment speed interval for description.

In practical application, the air resistance can be calculated according to a dynamic formula of vehicle running, such as an air resistance calculation formula, by combining at least one sliding test vehicle speed in the current sectional speed interval and information such as sliding attribute corresponding to each sliding test vehicle speed. The rolling resistance can be calculated according to the rolling resistance calculation formula and the whole vehicle mass and the like of the vehicle to be combined and measured. The sum of the air resistance and the rolling resistance can be used as the running resistance of the vehicle to be measured.

In this embodiment, based on at least one coasting test vehicle speed and a corresponding coasting attribute in the current segment speed interval and the entire vehicle mass of the vehicle to be measured, the implementation manner of determining the running resistance of the vehicle to be measured may be: determining the total sliding duration corresponding to the current sectional speed interval based on the sliding time corresponding to at least one sliding test vehicle speed; determining a taxi acceleration corresponding to the current segment speed interval based on at least one taxi test vehicle speed and a total taxi duration; determining the windward area and the air density corresponding to the vehicle to be tested in the sliding test, and determining the air resistance to be used based on the windward area and the air density, the sliding acceleration and a preset wind resistance coefficient; and determining rolling resistance to be used based on the mass of the whole vehicle and a preset rolling resistance coefficient, and determining running resistance based on the air resistance to be used and the rolling resistance to be used.

The preset wind resistance coefficient can be set by combining information such as the shape of the vehicle, the speed of the vehicle, the windward area of the vehicle and the like, and can also be set by staff according to actual working conditions. The preset rolling resistance coefficient may be set in combination with information such as the type of road surface, the vehicle speed, the structure of the tire, the material, the air pressure, etc., or may be set by a worker according to the actual working condition, and is not particularly limited.

In this embodiment, for the current segment speed interval, the total duration of the sliding corresponding to the current segment speed interval may be calculated based on the sliding time corresponding to each sliding test vehicle speed in the current segment speed interval. For example, the sliding time of the first sliding test vehicle speed may be subtracted from the sliding time of the final sliding test vehicle speed in the current segment speed interval, and the difference between the two sliding time is used as the total sliding time length, or the sliding time lengths of the groups of sliding deceleration intervals in the current segment speed interval are accumulated to obtain the total sliding time length. The maximum sliding test vehicle speed in the current sectional speed interval can be subtracted by the minimum sliding test vehicle speed to obtain a speed difference value, and then the speed difference value and the total sliding duration can be processed by a quotient, and the obtained quotient is used as the sliding acceleration. Furthermore, the sliding acceleration, the windward area and the air density corresponding to the vehicle to be tested in the sliding test and the preset wind resistance coefficient can be input into a preset air resistance calculation function, and the output air resistance result is used as the air resistance to be used. The quality of the whole vehicle and a preset rolling resistance coefficient can be input into a preset rolling resistance calculation function, and the output rolling resistance result is used as rolling resistance to be used. The air resistance to be used and the rolling resistance to be used may be added, and the sum may be taken as the running resistance.

Illustratively, the air resistance calculation function may be

Wherein F1 represents air resistance, C _D The wind resistance coefficient is preset, A is the windward area, ρ is the air density, and a is the sliding acceleration. The rolling resistance calculation function may be f2=wf, F2 represents rolling resistance, W represents the mass of the whole vehicle, and F represents a preset rolling resistance coefficient.

S150, determining a test result for testing the running resistance of the vehicle to be tested based on the running resistance, and determining whether to reacquire the interval sliding data of the speed interval to be supplemented corresponding to the test result to carry out the supplement test on the sliding resistance of the vehicle to be tested.

Wherein the test result includes whether coasting is effective or not.

In this embodiment, a test result for testing the running resistance of the vehicle to be tested may be obtained by analyzing whether the running resistance meets a preset requirement. For example, if the running resistance is less than the preset resistance threshold, the test result is considered to be test valid, and if the running resistance is not less than the preset resistance threshold, the test result is considered to be test invalid. Or, the test result may be determined by analyzing whether the rolling resistance and the air resistance in the running resistance meet the preset requirements, for example, if the rolling resistance and the air resistance are smaller than the corresponding preset resistance thresholds, the test result is considered to be valid, and if the rolling resistance and the air resistance are not smaller than the corresponding preset resistance thresholds, the test result is considered to be invalid. Further, it may be determined whether the taxi data of the taxi speed section corresponding to the test result satisfies the test requirement based on the test result. If the test result is that the test is invalid, the corresponding sliding data of the sliding speed interval cannot meet the test requirement, and the sliding speed interval can be used as a speed interval to be supplemented at the moment, and the sliding data corresponding to the speed interval to be supplemented, namely the interval sliding data, can be obtained again. For example, the taxi data corresponding to the speed interval to be supplemented may be obtained from the original taxi data to be processed as interval taxi data. And then the interval sliding data is used for carrying out supplementary test on the sliding resistance of the vehicle to be tested. For example, the section sliding data may be re-used as the sliding data to be processed, so as to process the sliding data to be processed, obtain the sliding data to be used, and continue to execute steps S120, S130, S140, S150, and so on, to perform the supplemental test. The method solves the problems of test resource waste, project period extension and the like caused by the fact that whether the supplementary test should be carried out on the failure part data immediately cannot be judged in the prior art, and the whole running resistance test needs to be carried out again in a selected period, realizes the segmented supplementary test, fully utilizes test resources and achieves the technical effect of improving the working efficiency.

According to the technical scheme, the to-be-used sliding data are obtained by obtaining to-be-processed sliding data corresponding to the vehicle to be tested and processing the to-be-processed sliding data; acquiring at least one test taxi speed corresponding to each reference taxi speed from taxi data to be used, and dividing the at least one test taxi speed to obtain at least one sectional speed interval and at least one taxi test vehicle speed in the sectional speed interval; determining the running resistance of the vehicle to be tested based on at least one sliding test vehicle speed in the current sectional speed interval, the corresponding sliding attribute and the whole vehicle mass of the vehicle to be tested; the method comprises the steps of determining a test result of testing the running resistance of the vehicle to be tested based on the running resistance, determining whether to re-acquire interval sliding data of a speed interval to be supplemented corresponding to the test result to supplement the running resistance of the vehicle to be tested, solving the problems of poor accuracy and long period of the test result caused by a segmented sliding method test in the prior art, processing the to-be-processed sliding data after the to-be-tested sliding data are acquired, obtaining high-quality to-be-used sliding data, further determining the test sliding speed in the to-be-used sliding data according to each sliding reference speed, dividing at least one test sliding speed, and ensuring the accuracy of division of the segmented speed interval and the quality of data in the interval.

Example two

Fig. 3 is a flowchart of a method for testing the running resistance of a vehicle according to a second embodiment of the present invention, and S110 is further refined based on the foregoing embodiment. The specific implementation manner can be seen in the technical scheme of the embodiment. Wherein, the technical terms identical to or corresponding to the above embodiments are not repeated herein.

As shown in fig. 3, the method specifically includes the following steps:

s210, acquiring to-be-processed sliding data corresponding to the vehicle to be tested.

S220, determining at least one abnormal vehicle speed in the sliding data to be processed, and setting the abnormal vehicle speed as a preset first vehicle speed to obtain the sliding data to be screened.

The preset first vehicle speed may be 0.

In this embodiment, whether the vehicle speed in the coasting data to be processed is valid may be determined based on a preset data determination condition, and an invalid vehicle speed value may be used as the abnormal vehicle speed. For example, vehicle speed data in which a blank is missing in the coasting data to be processed, an abnormally high vehicle speed value, or the like may be used as the abnormal vehicle speed. The abnormal vehicle speed may be replaced with the preset first vehicle speed. Correspondingly, the processed sliding data are used as sliding data to be screened.

For example, the data cleaning process may be performed on the sliding data to be processed, and the blank value and the highest vehicle speed value in the original sliding data are replaced by 0, where the sliding data after the cleaning process is used as the sliding data to be screened.

S230, screening the sliding data to be screened based on a preset upper vehicle speed limit and a preset lower vehicle speed limit to obtain the sliding data to be corrected.

In practical application, the screening processing can be performed on at least one vehicle speed to be screened in the sliding data to be screened through a preset vehicle speed upper limit and a preset vehicle speed lower limit. For example, the vehicle speed to be screened that is greater than the preset vehicle speed upper limit or less than the preset vehicle speed lower limit may be screened, and the screened vehicle speed to be screened may be used as the sliding data to be corrected.

It should be noted that the speed ranges of different sectional sliding intervals are different, so as to improve the effectiveness of screening data and ensure the data quality. And the effective vehicle speed data can be identified through the data median and the data change normal interval.

In this embodiment, screening the sliding data to be screened based on a preset upper vehicle speed limit and a preset lower vehicle speed limit to obtain the sliding data to be corrected includes: determining at least one vehicle speed to be screened in a current moving window in the sliding data to be screened; determining an effective vehicle speed upper limit and an effective vehicle speed lower limit based on a speed average value corresponding to at least one vehicle speed to be screened, a preset vehicle speed upper limit and a preset vehicle speed lower limit; and screening at least one vehicle speed to be screened based on the effective vehicle speed upper limit and the effective vehicle speed lower limit to obtain the sliding data to be corrected.

The sliding data to be screened comprises a plurality of speeds to be screened. The current moving window comprises window attributes, wherein the window attributes are the number of vehicle speeds, and the window attributes can also be the sliding duration or the sliding distance. For example, if the window attribute is the number of vehicle speeds a, the number of vehicle speeds to be screened corresponding to the current moving window is a.

Specifically, by setting moving windows, each moving window is used as a vehicle speed data screening interval, and each vehicle speed data screening interval contains the vehicle speed to be screened corresponding to the window attribute. And carrying out average processing on at least one vehicle speed to be screened in the current moving window to obtain a speed average value. Further, the speed average value and a preset upper vehicle speed limit can be subjected to sum calculation, and the sum value is taken as an effective upper vehicle speed limit. And subtracting the speed average value from a preset vehicle speed lower limit, and taking the difference value as an effective vehicle speed lower limit. The vehicle speed to be screened which is larger than the upper limit of the effective vehicle speed or smaller than the lower limit of the effective vehicle speed in the current moving window can be screened, and the screened vehicle speed to be screened is reserved. Correspondingly, all reserved vehicle speeds to be screened can be used as the sliding data to be corrected. It should be noted that, the speed average may also be replaced by at least one median of the vehicle speeds to be screened in the current moving window, so as to determine an effective upper vehicle speed limit and an effective lower vehicle speed limit based on the median, the preset upper vehicle speed limit and the preset lower vehicle speed limit.

For example, the effective upper vehicle speed limit may be determined using the following equation (1), and the effective lower vehicle speed limit may be determined using equation (2).

Wherein N represents window attribute of a moving window, represents quantity of vehicle speed, v _i Representing the ith speed of the vehicle to be screened in the moving window; v _high Is an effective upper vehicle speed limit; v _hlimt The upper limit of the reasonable range of the vehicle speed (namely, the preset upper limit of the vehicle speed); v _low Is the effective lower speed limit; v _llimt The lower limit of the reasonable range of the vehicle speed (namely, the preset lower limit of the vehicle speed) is set.

S240, determining the vehicle speed to be corrected, which corresponds to the preset first vehicle speed, in the sliding data to be corrected, and correcting the vehicle speed to be corrected to obtain the sliding data to be analyzed, which corresponds to the sliding data to be corrected.

In practical application, the vehicle speed information in the sliding data to be corrected can be used as the vehicle speed to be corrected. The vehicle speed to be corrected, which is the preset first vehicle speed, in the sliding data to be corrected is found, and the value of the vehicle speed to be corrected is 0 at the moment. The corrected vehicle speed to be corrected and the vehicle speed to be corrected which is not the preset first vehicle speed can be used as the data to be analyzed to analyze whether the data is valid or not based on the data to be analyzed.

It should be noted that the to-be-corrected sliding data contains a large number of to-be-corrected vehicle speeds with different vehicle speed values, so that in order to improve correction accuracy and ensure data quality, a moving average method can be adopted to correct the vehicle speed, thereby not only effectively preventing the abnormality caused by the loss of a signal of a vehicle speed part, but also preventing the abnormality caused by acquisition errors and improving data quality.

In this embodiment, correcting the vehicle speed to be corrected to obtain the to-be-analyzed sliding data corresponding to the to-be-corrected sliding data includes: determining a first association vehicle speed of a preset first quantity associated with the vehicle speed to be corrected; determining a vehicle speed average value based on each first associated vehicle speed; the speed to be corrected is adjusted to be the average value of the speed; and determining the to-be-analyzed sliding data based on the adjusted to-be-corrected vehicle speed in the to-be-corrected sliding data and the to-be-corrected vehicle speed which is not the preset first vehicle speed.

The preset first number may be 10 or 5, and may be determined by a technician according to an actual working situation, which is not limited herein.

Specifically, a preset first number of vehicle speeds adjacent to the vehicle speed to be corrected can be used as a first associated vehicle speed associated with the vehicle speed to be corrected; or acquiring the preset first quantity of vehicle speed information before the vehicle speed acquisition time to be corrected and the preset first quantity of vehicle speed information after the vehicle speed acquisition time to be corrected as the second associated vehicle speed. And carrying out average processing on each first associated vehicle speed to obtain a vehicle speed average value. The vehicle speed to be corrected may be adjusted from a preset first vehicle speed to a vehicle speed average value. Further, the adjusted vehicle speed to be corrected and the vehicle speed to be corrected which is not the preset first vehicle speed in the sliding data to be corrected can be used as sliding data to be analyzed.

For example, after setting the abnormal vehicle speed to a preset first vehicle speed until the coasting data to be corrected is obtained, the vehicle speed may be corrected using the following formula (3):

wherein V is _t+1 The corrected vehicle speed is t+1 seconds; n is the number of moving average terms, represents a preset first number, corrects the vehicle speed in a low-speed interval, and can be set with a larger value to improve the data quality. And (3) correcting the vehicle speed in the high-speed interval, wherein N can be set to a smaller value, so that excessive correction is avoided.

S250, carrying out validity analysis on the sliding data to be analyzed, and determining an analysis result.

In practical application, whether the sliding data to be analyzed is effective or not can be analyzed, so that an analysis result is obtained, filtering processing is carried out on the sliding data to be analyzed under the condition that the data is effective, and the sliding data to be screened is returned to be continuously screened under the condition that the data is ineffective.

In this embodiment, validity analysis is performed on the sliding data to be analyzed, and an implementation manner of determining an analysis result may be: determining the speed change rate of the sliding data to be analyzed; and determining an analysis result of analyzing the sliding data to be analyzed based on at least one to-be-compared vehicle speed in the sliding data to be analyzed, a preset high-speed threshold value, a vehicle speed change rate and a preset change rate.

Specifically, the acceleration may be calculated according to each speed value in the coasting data to be analyzed, and the acceleration may be used as the vehicle speed change rate. Furthermore, the speed change rate and the preset change rate can be compared, the speeds to be compared are respectively compared with a preset high-speed threshold value, or the maximum value in the speeds to be compared is compared with the preset high-speed threshold value, and the analysis result for analyzing the sliding data to be analyzed is determined based on the comparison result. For example, if the rate of change of the vehicle speed is less than a preset rate of change, or each vehicle speed to be compared is less than a preset high speed threshold, then the analysis result is considered as data valid. If the speed change rate is not smaller than the preset change rate or the speed to be compared which is larger than the preset high-speed threshold value exists, the analysis result is considered as invalid data.

The vehicle speed effectiveness is determined after the vehicle speed change rate is determined according to the numerical characteristics of the driving data, the corrected sliding data to be analyzed can be determined based on the whole vehicle configuration, and if the distribution of the highest vehicle speed and the vehicle speed change rate meets the technical parameters (comprising the preset change rate and the preset high-speed threshold) required by the whole vehicle configuration, the condition is considered to be met, namely the analysis result is that the data is effective; otherwise, the analysis result is considered as invalid data, and the step S240 is returned to adjust the preset first quantity to correct the vehicle speed to be corrected again.

And S260, judging whether the analysis result is data effective, if not, executing the step S270, and if so, executing the step S280.

S270, adjusting the preset first quantity to redetermine the first association vehicle speed of the preset first quantity related to the vehicle speed to be corrected based on the adjusted preset first quantity, so as to correct the vehicle speed to be corrected based on each first association vehicle speed, and obtain the sliding data to be analyzed.

Specifically, the preset first quantity is adjusted, and the step of returning to the step of S240 corrects the vehicle speed to be corrected again based on the adjusted preset first quantity to obtain the data to be analyzed, further, whether the analysis result of the data to be analyzed is effective or not is determined, the validity of the data is ensured, and the accuracy of the running resistance test is improved.

S280, filtering the sliding data to be analyzed to obtain the sliding data to be used.

It should be noted that, in the actual vehicle sliding test process, the difference between the vehicle speed values with shorter time distance may be smaller, for example 80.001 and 80.002, in order to facilitate data processing, to make the unit of the sliding reference vehicle speed consistent with that of the vehicle speed value in the sliding data to be analyzed may be subjected to rounding processing. After the rounding process, there may be adjacent vehicle speed values that are the same, such as 80, 80. In order to improve the accuracy of the subsequent searching of the test sliding speed corresponding to the sliding reference speed, threshold value and standard deviation filtering processing can be carried out on the sliding data to be analyzed in the rounding processing so as to filter out the speed points which do not accord with the current working condition data characteristics and obtain the sliding data to be used.

In this embodiment, filtering processing is performed on the sliding data to be analyzed, and the implementation manner of obtaining the sliding data to be used may be: rounding the comparison vehicle speeds in the sliding data to be analyzed to obtain the sliding data to be filtered; the sliding data to be filtered comprise a plurality of speeds to be filtered; for a plurality of vehicle speeds to be filtered, determining a preset second number of second associated vehicle speeds associated with the current vehicle speed to be filtered from the sliding data to be filtered; determining a vehicle speed mean value and a vehicle speed standard deviation based on a second associated vehicle speed and a preset second quantity; determining a difference value between the current vehicle speed to be filtered and a vehicle speed average value, and determining an intermediate value based on a preset judgment parameter and a vehicle speed standard deviation; if the difference value is larger than the intermediate value, the current vehicle speed to be filtered is removed, and if the difference value is not larger than the intermediate value, the current vehicle speed to be filtered is reserved, so that the sliding data to be used are obtained.

The filtering processing in different vehicle speed intervals can be processed by applying different preset second numbers. The preset determination parameter may be understood as a vehicle speed threshold determination condition based on a change in a vehicle speed, for example, may be 0.5, or 1.2, and may be determined by a technician according to an actual working situation without limitation.

Specifically, the vehicle speed to be compared in the sliding data to be analyzed can be rounded, for example, 80.001 is rounded to 80. And taking the rounded sliding data to be analyzed as sliding data to be filtered, wherein the sliding data to be filtered comprises a plurality of vehicle speeds to be filtered, such as 80, 75, 65 and 65. It should be noted that the filtering processing manner is the same for each vehicle speed to be filtered, and any vehicle speed to be filtered can be used as the current vehicle speed to be filtered.

Further, a preset second number of vehicle speed information adjacent to the current vehicle speed to be filtered time can be determined from the sliding data to be filtered and used as a second associated vehicle speed associated with the current vehicle speed to be filtered; or acquiring the preset second quantity of vehicle speed information before the current vehicle speed to be filtered and the preset second quantity of vehicle speed information after the current vehicle speed to be filtered as the second associated vehicle speed. And calculating the mean value and standard deviation corresponding to the second associated vehicle speed through all the second associated vehicle speeds and preset second quantity, taking the mean value as a vehicle speed mean value and taking the standard deviation as a vehicle speed standard deviation. And (3) performing difference on the current vehicle speed to be filtered and the average value of the vehicle speed to obtain a difference value. Further, the preset determination parameter and the standard deviation of the vehicle speed may be multiplied, and the multiplied value may be used as the intermediate value. And comparing the difference value with the intermediate value, if the difference value is larger than the intermediate value, considering the current vehicle speed to be filtered as the vehicle speed which does not accord with the data characteristic of the working condition, eliminating the current vehicle speed to be filtered at the moment, and if the difference value is not larger than the intermediate value, considering the current vehicle speed to be filtered as the vehicle speed which accords with the data characteristic of the working condition, and reserving the current vehicle speed to be filtered. The remaining vehicle speed to be filtered may be used as coasting data.

For example, the mean absolute deviation and standard deviation combined filtering mode may be used to determine and filter the sliding data to be filtered, and the filtering formula is shown in the following formula (4):

|x _i -v _i |>B*l _i (4)

wherein: x is x _i The vehicle speed value is the vehicle speed value of the ith time point in the sliding data to be filtered; v _i Is the average value, x of the vehicle speed of the second associated vehicle speed in the interval of 2K at the ith time point _i+j Represents x _i Is the j-th second associated vehicle speed; k is the calculated term number, namely a second number is preset, and different term numbers can be applied to different vehicle speed intervals to carry out filtering solution; l (L) _i Is the standard deviation of the vehicle speed; b is a vehicle speed threshold judgment condition based on the change of the vehicle speed, namely a preset judgment parameter; if the vehicle speed value at the ith time point meets the value of |x _i -v _i |>B*l _i If the judgment condition is satisfied, x is determined as _i Filtered to v _i Otherwise x is _i As the coasting data to be used.

S290, obtaining at least one test taxi speed corresponding to each taxi reference vehicle speed from the taxi data to be used, and dividing the at least one test taxi speed to obtain at least one sectional speed interval and at least one taxi test vehicle speed in the sectional speed interval.

S2100, for each segment speed interval, determining the running resistance of the vehicle to be tested based on at least one sliding test vehicle speed and corresponding sliding attribute in the current segment speed interval and the whole vehicle mass of the vehicle to be tested.

S2110, determining a test result for testing the running resistance of the vehicle to be tested based on the running resistance, and determining whether to reacquire the interval sliding data of the speed interval to be supplemented corresponding to the test result to carry out the supplement test on the running resistance of the vehicle to be tested.

According to the technical scheme, at least one abnormal vehicle speed in the sliding data to be processed is determined, the abnormal vehicle speed is set to be a preset first vehicle speed, the sliding data to be screened is obtained, the sliding data to be screened is further screened based on the preset upper vehicle speed limit and the preset lower vehicle speed limit, the sliding data to be corrected is obtained, and the data quality is guaranteed. Further, determining the vehicle speed to be corrected, which corresponds to the preset first vehicle speed, in the sliding data to be corrected, correcting the vehicle speed to be corrected, improving the accuracy of the data, further performing validity analysis on the sliding data to be analyzed, which corresponds to the sliding data to be corrected, determining an analysis result, and performing filtering processing on the sliding data to be analyzed when the analysis result is that the data is valid, so as to obtain the sliding data to be used, and improving the accuracy of the test result while ensuring the validity of the data.

Example III

Fig. 4 is a flowchart of a method for testing the running resistance of a vehicle according to the third embodiment of the present invention, and S150 is further refined based on the foregoing embodiment. The specific implementation manner can be seen in the technical scheme of the embodiment. Wherein, the technical terms identical to or corresponding to the above embodiments are not repeated herein.

As shown in fig. 4, the method specifically includes the following steps:

s310, acquiring to-be-processed sliding data corresponding to the vehicle to be tested, and processing the to-be-processed sliding data to obtain to-be-used sliding data.

S320, acquiring at least one test coasting speed corresponding to each coasting reference speed from the coasting data to be used.

S330, dividing the at least one test coasting speed to obtain at least one sectional speed interval and at least one coasting test speed in the sectional speed interval.

S340, for each sectional speed interval, determining the running resistance of the vehicle to be tested based on at least one sliding test vehicle speed and corresponding sliding attribute in the current sectional speed interval and the whole vehicle mass of the vehicle to be tested.

S350, determining a zero order coefficient and a quadratic coefficient corresponding to the running resistance.

Specifically, after the running resistance of the whole vehicle is determined according to the running test vehicle speed, the whole vehicle acceleration and the whole vehicle mass, the zero-order term and the quadratic term coefficient of the running resistance can be calculated by using an application software or algorithm model.

S360, correcting the zero order coefficient and the quadratic coefficient respectively to obtain a corrected zero order coefficient and a corrected quadratic coefficient.

In this embodiment, the weather conditions may be corrected for the zero-order term coefficient and the quadratic term coefficient corresponding to the running resistance according to the weather correction method specified by the running resistance measurement standard of the whole vehicle. For example, the zero-order term coefficient and the quadratic term coefficient and the required correction parameter may be input into a preset correction formula, and the corrected zero-order term coefficient and quadratic term coefficient may be output.

The preset correction formula may be:

f ₀ ^′ ＝f ₀ *[1+k _t *(T-T ₀ )]；

in the preset correction formula: f (f) ₀ ^′ The zero-order term coefficient after correction; f (f) ₀ The zero-order term coefficient before correction; u (u) ₀ The rolling resistance coefficient is irrelevant to the vehicle speed; k (k) _t The roll resistance correction coefficient for temperature can be 8.6x10 ^-3 a/DEG C; t is the test environment temperature; t (T) ₀ Is a standard ambient temperature, such as 20 ℃; f (f) ₂ ^′ For school ofThe positive quadratic term coefficient; f (f) ₂ The correction is performed on the coefficients of the prior quadratic term; p is p ₀ Is at standard atmospheric pressure, such as may be 100kPa; p is the test atmospheric pressure; u (u) ^′ For a vehicle speed dependent rolling resistance coefficient, e.g. 19x10 ^-6 (km/h) ^-2 。

S370, determining the rolling resistance to be compared based on the corrected zero-order term coefficient, and determining the air resistance to be compared based on the corrected quadratic term coefficient.

Specifically, according to a dynamic formula of vehicle running, wind resistance and rolling resistance can be solved based on the corrected zero-order term coefficient and the corrected quadratic term coefficient. For example, the zero order coefficient may be used as the rolling resistance to be compared, and the quadratic coefficient may be used as the air resistance to be compared.

S380, determining a test result for testing the running resistance of the vehicle to be tested based on the rolling resistance to be compared and the preset rolling resistance threshold value, and the air resistance to be compared and the preset air resistance threshold value.

In this embodiment, the rolling resistance to be compared and the preset rolling resistance threshold may be compared, and the effectiveness of the sliding result may be determined. For example, if the rolling resistance to be compared is smaller than the preset rolling resistance threshold, the test result is considered to be effective in sliding, and if the rolling resistance to be compared is not smaller than the preset rolling resistance threshold, the test result is considered to be ineffective in sliding. And the air resistance to be compared and a preset air resistance threshold value can be compared, and the effectiveness of the sliding result is judged. For example, if the air resistance to be compared is less than the preset air resistance threshold, the test result is considered to be effective for sliding, and if the air resistance to be compared is not less than the preset air resistance threshold, the test result is considered to be ineffective for sliding. And the test result can be determined by combining the comparison result of the rolling resistance to be compared and the preset rolling resistance threshold value and the comparison result of the air resistance to be compared and the preset air resistance threshold value. For example, after the rolling resistance to be compared and the air resistance to be compared are solved, the effectiveness of the sliding test result can be judged according to a reasonable expected range corresponding to the rolling resistance to be compared and the air resistance to be compared. And the test speed interval of the problem can be extracted from the generated sectional sliding test results according to the test results of different sectional speed intervals.

S390, judging whether the test result is that the sliding is invalid, if so, executing the step S3100, and if not, executing the step S3110.

S3100, determining a speed interval to be supplemented corresponding to the sliding invalidity; determining interval sliding data corresponding to a speed interval to be supplemented; and carrying out supplementary test on the sliding resistance of the vehicle to be tested based on the interval sliding data.

In this embodiment, if the test result is that the test is invalid, it is indicated that the sliding data of the corresponding sliding speed interval cannot meet the test requirement, and at this time, the sliding speed interval may be taken as the speed interval to be supplemented, and the sliding data corresponding to the speed interval to be supplemented may be obtained again as the interval sliding data. For example, the taxi data corresponding to the speed interval to be supplemented may be obtained from the original taxi data to be processed as interval taxi data. And then the interval sliding data is used for carrying out supplementary test on the sliding resistance of the vehicle to be tested. For example, the section sliding data may be re-used as the sliding data to be processed, so as to process the sliding data to be processed, obtain the sliding data to be used, and continue to execute steps S120, S130, S140, S150, and so on, to perform the supplemental test. The benefits of this arrangement are: the method solves the problems of test resource waste, project period extension and the like caused by the fact that whether the supplementary test should be carried out on the failure part data immediately cannot be judged in the prior art, and the whole running resistance test needs to be carried out again in a selected period, realizes the segmented supplementary test, fully utilizes test resources and achieves the technical effect of improving the working efficiency.

For example, a supplemental test can be performed for the extracted problem vehicle speed interval (i.e., the speed interval to be supplemented), then the original problem vehicle speed interval data is replaced, and the test data is reprocessed, so as to realize a failure interval retest.

S3110, outputting the test result.

In this embodiment, if the test result is not invalid in sliding, the test validity judgment is considered to be satisfied, and the fitting value and the comparison curve of the running resistance of the whole vehicle can be output. For example, the comparison curve can be seen in fig. 5.

According to the technical scheme, the zero-order term coefficient and the quadratic term coefficient corresponding to the running resistance are determined, and then the zero-order term coefficient and the quadratic term coefficient are corrected respectively, so that the corrected zero-order term coefficient and quadratic term coefficient are obtained; the rolling resistance to be compared is determined based on the corrected zero-order term coefficient, the air resistance to be compared is determined based on the corrected quadratic term coefficient, the rolling resistance to be compared is compared with a preset rolling resistance threshold value, the air resistance to be compared is compared with the preset air resistance threshold value, a test result for testing the running resistance of the vehicle to be tested is obtained, and the effectiveness and the accuracy of the test result are guaranteed.

Example IV

As an alternative embodiment of the foregoing embodiment, fig. 6 is a schematic diagram of a method for testing a running resistance of a vehicle according to a fourth embodiment of the present invention. In particular, reference may be made to the following details.

Referring to fig. 6, after original test vehicle speed data (i.e., to-be-processed sliding data) in the running resistance test process of the vehicle is collected, the automatic processing of the sectional sliding test data can be realized by cleaning, identifying and the like the to-be-processed sliding data, so that the working efficiency is improved, and the test resource utilization rate is improved. The specific implementation manner of data processing can be as follows: firstly, data cleaning is carried out on sliding data to be processed to obtain sliding data to be screened. For example, the blank data in the to-be-processed coasting data and the value of the highest vehicle speed of the vehicle are replaced by a preset first vehicle speed (such as 0). Further, the effective range of the sliding data to be screened can be identified through the data median and the normal range of the data change. For example, the formula can be used

Determining an effective upper vehicle speed limit, wherein N represents window attribute of a moving window, and represents the quantity of vehicle speed, v _i Representing the ith speed of the vehicle to be screened in the moving window; v _high Is an effective upper vehicle speed limit; v _hlimt For the upper limit of the reasonable range of vehicle speed (i.e. pre-determinedSetting an upper limit of the vehicle speed). By the formula->

Determining a lower limit of the effective vehicle speed, v _low Is the effective lower speed limit; v _llimt The lower limit of the reasonable range of the vehicle speed (namely, the preset lower limit of the vehicle speed) is set. And taking the upper limit of the effective vehicle speed to the lower limit of the effective vehicle speed as a data effective range, and screening at least one vehicle speed to be screened to obtain the sliding data to be corrected. Furthermore, the vehicle speed correction processing can be performed on the sliding data to be corrected to obtain the sliding data to be analyzed, for example, the vehicle speed is corrected by a moving average value method, and the abnormality caused by the loss of a signal of a vehicle speed part is prevented. For example, using the formula

Correcting the vehicle speed, wherein V _t+1 The corrected vehicle speed is t+1 seconds; n is the number of moving average terms, represents a preset first number, corrects the vehicle speed in a low-speed interval, and can be set with a larger value to improve the data quality. And (3) correcting the vehicle speed in the high-speed interval, wherein N can be set to a smaller value, so that excessive correction is avoided. Further, determining the speed change rate of the sliding data to be analyzed according to the numerical characteristics of the driving data, analyzing whether the speed data in the sliding data to be analyzed is effective, if so, judging the corrected speed based on the whole vehicle configuration, and if the distribution of the highest speed and the speed change rate meets the technical parameters of the vehicle, conforming to the condition and enabling the speed data to be effective; otherwise, the preset first quantity is adjusted and revised again. And if the vehicle speed data are valid, rounding the vehicle speed data in the to-be-analyzed sliding data to obtain the to-be-filtered sliding data, so that the rounded vehicle speed corresponds to the set mark value of the target sliding vehicle speed. And further, judging and filtering the sliding data to be filtered by using the mean absolute deviation and the standard deviation, and filtering the vehicle speed points which do not accord with the data characteristics of the working condition. For example, using the filter formula |x _i -v _i |>B*l _i The method comprises the steps of carrying out a first treatment on the surface of the Wherein,,

x _i the vehicle speed value is the vehicle speed value of the ith time point in the sliding data to be filtered; v _i Is the average value, x of the vehicle speed of the second associated vehicle speed in the interval of 2K at the ith time point _i+j Represents x _i Is the j-th second associated vehicle speed; k is the calculated term number, namely a second number is preset, and different term numbers can be applied to different vehicle speed intervals to carry out filtering solution; l (L) _i Is the standard deviation of the vehicle speed; b is a vehicle speed threshold judgment condition based on the change of the vehicle speed, namely a preset judgment parameter; if the vehicle speed value at the ith time point meets the value of |x _i -v _i |>B*l _i If the judgment condition is satisfied, x is determined as _i Filtered to v _i Otherwise x is _i As the coasting data to be used. Further, according to the target test sequence, corresponding speed, time and distance data in the sliding data to be used are extracted, effective sliding deceleration intervals in the processing data are identified, starting and stopping points of continuous effective sliding deceleration are judged, and effective sliding data are extracted. According to the test vehicle speed interval and sequence arrangement recorded in the test process, automatically generating an extracted vehicle speed range (namely a segmented speed interval) and times, and storing all process data into a result file. Further, generating test results according to the test flow, and carrying out average value calculation and time accumulation statistics on the test results to generate a result file of the sliding test. And solving the acceleration of the whole vehicle according to the test vehicle speed and time, solving the running resistance of the whole vehicle by combining the test vehicle mass, and calculating the zero-order term and the quadratic term coefficient of the running resistance. The weather conditions are corrected for the running resistance according to the weather correction method specified by the running resistance measurement standard of the whole vehicle, for example, by the formula f ₀ ^′ ＝f ₀ *[1+k _t *(T-T ₀ )]Sum formula

And determining the corrected zero-order term and quadratic term coefficient. Wherein f ₀ ^′ For corrected zero-order term coefficients；f ₀ The zero-order term coefficient before correction; u (u) ₀ The rolling resistance coefficient is irrelevant to the vehicle speed; k (k) _t The roll resistance correction coefficient for temperature can be 8.6x10 ^-3 a/DEG C; t is the test environment temperature; t (T) ₀ Is a standard ambient temperature, such as 20 ℃; f (f) ₂ ^′ The corrected quadratic term coefficient; f (f) ₂ The correction is performed on the coefficients of the prior quadratic term; p is p ₀ Is at standard atmospheric pressure, such as may be 100kPa; p is the test atmospheric pressure; u (u) ^′ For a vehicle speed dependent rolling resistance coefficient, e.g. 19x10 ^-6 (km/h) ^-2 . Further, according to a dynamic formula of vehicle running, solving wind resistance and rolling resistance of the corrected zero-order term and second-order term resistance to obtain the wind resistance and the rolling resistance. And judging the effectiveness of the sliding test result according to the solved wind resistance and rolling resistance values and a reasonable expected range of the test result, and outputting a fitting value and a comparison curve of the running resistance of the whole vehicle if the test result is effective. If the test result is invalid, extracting a test vehicle speed interval (namely a speed interval to be supplemented) of a problem by combining the generated sectional sliding test result; and carrying out a supplementing test aiming at the extracted speed interval to be supplemented, replacing the data of the original problem vehicle speed interval, and carrying out reprocessing of test data.

Example five

Fig. 7 is a schematic structural diagram of a device for testing running resistance of a vehicle according to a fifth embodiment of the present invention. As shown in fig. 7, the apparatus includes: the coasting data determination module 710, the segment speed interval determination module 720, the running resistance determination module 730, and the test result determination module 740 are to be used.

The to-be-used sliding data determining module 710 is configured to obtain to-be-processed sliding data corresponding to a vehicle to be tested, and process the to-be-processed sliding data to obtain to-be-used sliding data; the segment speed interval determining module 720 is configured to obtain at least one test running speed corresponding to each running reference speed from the running data to be used, and divide the at least one test running speed to obtain at least one segment speed interval and at least one running test speed in the segment speed interval; a running resistance determining module 730, configured to determine, for each segment speed interval, a running resistance of the vehicle to be tested based on at least one running test vehicle speed and a corresponding running attribute in the current segment speed interval, and a vehicle mass of the vehicle to be tested; the test result determining module 740 is configured to determine a test result for testing the running resistance of the vehicle to be tested based on the running resistance, and determine whether to re-acquire the interval sliding data of the speed interval to be supplemented, which corresponds to the test result, to perform a supplemental test on the running resistance of the vehicle to be tested.

On the basis of the above device, optionally, the to-be-used sliding data determining module 710 includes a to-be-screened sliding data determining unit, a to-be-corrected sliding data determining unit, an to-be-analyzed sliding data determining unit, an analysis result determining unit, and a to-be-used sliding data determining unit.

The to-be-screened sliding data determining unit is used for determining at least one abnormal vehicle speed in the to-be-screened sliding data, setting the abnormal vehicle speed as a preset first vehicle speed and obtaining to-be-screened sliding data;

the to-be-corrected sliding data determining unit is used for screening the to-be-screened sliding data based on a preset vehicle speed upper limit and a preset vehicle speed lower limit to obtain to-be-corrected sliding data;

the to-be-analyzed sliding data determining unit is used for determining to-be-corrected vehicle speed corresponding to a preset first vehicle speed in the to-be-corrected sliding data, and correcting the to-be-corrected vehicle speed to obtain to-be-analyzed sliding data corresponding to the to-be-corrected sliding data;

the analysis result determining unit is used for carrying out validity analysis on the sliding data to be analyzed and determining an analysis result;

and the to-be-used sliding data determining unit is used for carrying out filtering processing on the to-be-analyzed sliding data if the analysis result is that the data are valid, so as to obtain the to-be-used sliding data.

On the basis of the device, the to-be-corrected sliding data determining unit comprises a to-be-screened vehicle speed determining subunit, a vehicle speed upper and lower limit determining subunit and a to-be-corrected sliding data determining subunit.

The to-be-screened vehicle speed determining subunit is used for determining at least one to-be-screened vehicle speed in a current moving window in the to-be-screened sliding data; the current moving window comprises window attributes, wherein the window attributes are the vehicle speed quantity;

the vehicle speed upper and lower limit determining subunit is used for determining an effective vehicle speed upper limit and an effective vehicle speed lower limit based on a speed average value corresponding to the at least one vehicle speed to be screened, a preset vehicle speed upper limit and a preset vehicle speed lower limit;

and the to-be-corrected sliding data determining subunit is used for screening the at least one to-be-screened vehicle speed based on the effective vehicle speed upper limit and the effective vehicle speed lower limit to obtain to-be-corrected sliding data.

On the basis of the device, optionally, the to-be-analyzed sliding data determining unit comprises a first associated vehicle speed determining subunit, a vehicle speed average value determining subunit, a vehicle speed adjusting subunit and a to-be-analyzed sliding data determining subunit.

A first associated vehicle speed determining subunit, configured to determine a preset first number of first associated vehicle speeds associated with the vehicle speed to be corrected;

A vehicle speed average value determination subunit configured to determine a vehicle speed average value based on each of the first associated vehicle speeds;

the vehicle speed adjusting subunit is used for adjusting the vehicle speed to be corrected to the average value of the vehicle speed;

and the to-be-analyzed sliding data determining subunit is used for determining the to-be-analyzed sliding data based on the adjusted to-be-corrected vehicle speed and the to-be-corrected vehicle speed which is not the preset first vehicle speed.

On the basis of the device, optionally, the analysis result determining unit comprises a vehicle speed change rate determining subunit and an analysis result determining subunit.

The vehicle speed change rate determining subunit is used for determining the vehicle speed change rate corresponding to the sliding data to be analyzed;

and the analysis result determining subunit is used for determining an analysis result for analyzing the to-be-analyzed sliding data based on at least one to-be-compared vehicle speed in the to-be-analyzed sliding data and a preset high-speed threshold value, and the vehicle speed change rate and the preset change rate.

On the basis of the device, optionally, the to-be-used sliding data determining unit comprises a to-be-filtered sliding data determining subunit, a second associated vehicle speed determining subunit, a standard deviation determining subunit, an intermediate value determining subunit and a to-be-used sliding data determining subunit.

The to-be-filtered sliding data determining subunit is used for rounding the to-be-compared vehicle speeds in the to-be-analyzed sliding data to obtain to-be-filtered sliding data; wherein the sliding data to be filtered comprises a plurality of speeds to be filtered;

a second associated vehicle speed determining subunit, configured to determine, for the plurality of vehicle speeds to be filtered, a preset second number of second associated vehicle speeds associated with the current vehicle speed to be filtered from the sliding data to be filtered;

a standard deviation determining subunit, configured to determine a vehicle speed average value and a vehicle speed standard deviation based on the second associated vehicle speed and the preset second number;

the intermediate value determining subunit is used for determining a difference value between the current vehicle speed to be filtered and the vehicle speed average value and determining an intermediate value based on a preset judging parameter and the vehicle speed standard deviation;

and the sliding data to be used is determined by a sub-unit, and is used for eliminating the current vehicle speed to be filtered if the difference value is larger than the intermediate value, and reserving the current vehicle speed to be filtered if the difference value is not larger than the intermediate value so as to obtain the sliding data to be used.

On the basis of the above device, optionally, the segment speed interval determining module 720 includes a coasting deceleration interval determining unit and a segment speed interval determining unit.

A coasting deceleration zone determination unit configured to determine at least one coasting deceleration zone based on each of the test coasting vehicle speeds;

and the segmented speed interval determining unit is used for determining at least one segmented speed interval and at least one coasting test vehicle speed in the segmented speed interval based on the same coasting deceleration interval and the corresponding coasting vehicle speed.

On the basis of the above device, the sliding attribute includes a sliding time, and optionally, the running resistance determining module 730 includes a total sliding duration determining unit, a sliding acceleration determining unit, an air resistance to be used determining unit, and a running resistance determining unit.

The total sliding time length determining unit is used for determining the total sliding time length corresponding to the current sectional speed interval based on the sliding time corresponding to the at least one sliding test vehicle speed;

a coasting acceleration determining unit configured to determine a coasting acceleration corresponding to the current segment speed section based on the at least one coasting test vehicle speed and the total coasting duration;

the to-be-used air resistance determining unit is used for determining the windward area and the air density corresponding to the vehicle to be tested in a sliding test and determining the to-be-used air resistance based on the windward area and the air density, the sliding acceleration and a preset wind resistance coefficient;

And the running resistance determining unit is used for determining rolling resistance to be used based on the whole vehicle mass and a preset rolling resistance coefficient and determining the running resistance based on the air resistance to be used and the rolling resistance to be used.

On the basis of the above device, optionally, the test result determining module 740 includes a coefficient determining unit, a correcting unit, a to-be-compared air resistance determining unit, and a test result determining unit.

A coefficient determination unit configured to determine a zero-order term coefficient and a quadratic term coefficient corresponding to the running resistance;

the correction unit is used for respectively correcting the zero-order term coefficient and the quadratic term coefficient to obtain a corrected zero-order term coefficient and a corrected quadratic term coefficient;

the air resistance to be compared determining unit is used for determining rolling resistance to be compared based on the corrected zero-order term coefficient and determining air resistance to be compared based on the corrected quadratic term coefficient;

the test result determining unit is used for determining a test result for testing the running resistance of the vehicle to be tested based on the rolling resistance to be compared and a preset rolling resistance threshold value, and the air resistance to be compared and a preset air resistance threshold value; wherein the test result includes a coasting valid or a coasting invalid.

On the basis of the above device, optionally, the test result determining module 740 further includes a speed interval determining unit to be supplemented, an interval sliding data determining unit, and a supplementing test unit.

The speed interval to be supplemented determining unit is used for determining a speed interval to be supplemented corresponding to the invalid sliding if the test result is invalid sliding;

the interval sliding data determining unit is used for determining interval sliding data corresponding to the speed interval to be supplemented;

and the supplementary test unit is used for carrying out supplementary test on the sliding resistance of the vehicle to be tested based on the interval sliding data.

The device for testing the running resistance of the vehicle provided by the embodiment of the invention can execute the method for testing the running resistance of the vehicle provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.

Example six

Fig. 8 is a schematic structural view of an electronic device implementing a method of testing running resistance of a vehicle according to an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 8, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the respective methods and processes described above, for example, a method of testing the running resistance of the vehicle.

In some embodiments, the method of testing vehicle travel resistance may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method of testing vehicle running resistance described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method of testing the vehicle running resistance in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. A method of testing vehicle travel resistance comprising:

2. The method of claim 1, wherein the processing the taxi data to be processed to obtain taxi data to be used comprises:

determining at least one abnormal vehicle speed in the sliding data to be processed, and setting the abnormal vehicle speed as a preset first vehicle speed to obtain the sliding data to be screened;

screening the sliding data to be screened based on a preset upper vehicle speed limit and a preset lower vehicle speed limit to obtain sliding data to be corrected;

determining a to-be-corrected vehicle speed corresponding to a preset first vehicle speed in the to-be-corrected sliding data, and correcting the to-be-corrected vehicle speed to obtain to-be-analyzed sliding data corresponding to the to-be-corrected sliding data;

Carrying out validity analysis on the sliding data to be analyzed, and determining an analysis result;

and if the analysis result is that the data is valid, filtering the sliding data to be analyzed to obtain the sliding data to be used.

3. The method according to claim 2, wherein the screening the sliding data to be screened based on the preset upper vehicle speed limit and the preset lower vehicle speed limit to obtain sliding data to be corrected includes:

determining at least one vehicle speed to be screened in a current moving window in the sliding data to be screened; the current moving window comprises window attributes, wherein the window attributes are the vehicle speed quantity;

determining an effective vehicle speed upper limit and an effective vehicle speed lower limit based on a speed average value corresponding to the at least one vehicle speed to be screened, a preset vehicle speed upper limit and a preset vehicle speed lower limit;

and screening the at least one vehicle speed to be screened based on the effective vehicle speed upper limit and the effective vehicle speed lower limit to obtain the sliding data to be corrected.

4. The method of claim 2, wherein the modifying the vehicle speed to be modified to obtain the skid data to be analyzed corresponding to the skid data to be modified comprises:

Determining a first association vehicle speed of a preset first quantity associated with the vehicle speed to be corrected;

determining a vehicle speed average value based on each first associated vehicle speed;

the vehicle speed to be corrected is adjusted to be the average value of the vehicle speed;

and determining the to-be-analyzed sliding data based on the adjusted to-be-corrected vehicle speed and the to-be-corrected vehicle speed which is not the preset first vehicle speed.

5. The method of claim 2, wherein the performing validity analysis on the taxi data to be analyzed, determining an analysis result, comprises:

determining a vehicle speed change rate corresponding to the sliding data to be analyzed;

and determining an analysis result of analyzing the to-be-analyzed sliding data based on at least one to-be-compared vehicle speed in the to-be-analyzed sliding data, a preset high-speed threshold value, the vehicle speed change rate and the preset change rate.

6. The method according to claim 2, wherein the filtering the taxi data to be analyzed to obtain the taxi data to be used includes:

rounding the comparison vehicle speeds in the sliding data to be analyzed to obtain sliding data to be filtered; wherein the sliding data to be filtered comprises a plurality of speeds to be filtered;

For the plurality of vehicle speeds to be filtered, determining a preset second number of second associated vehicle speeds associated with the current vehicle speed to be filtered from the sliding data to be filtered;

determining a vehicle speed mean value and a vehicle speed standard deviation based on the second associated vehicle speed and the preset second quantity;

determining a difference value between the current vehicle speed to be filtered and the vehicle speed average value, and determining an intermediate value based on a preset judgment parameter and the vehicle speed standard deviation;

and if the difference value is larger than the intermediate value, rejecting the current vehicle speed to be filtered, and if the difference value is not larger than the intermediate value, reserving the current vehicle speed to be filtered to obtain the sliding data to be used.

7. The method of claim 1, wherein said dividing said at least one test taxi speed into at least one segmented speed interval and at least one taxi test vehicle speed in said segmented speed interval comprises:

determining at least one coasting deceleration zone based on each test coasting speed;

at least one segment speed interval and at least one coasting test vehicle speed in the segment speed interval are determined based on the same coasting deceleration interval and the corresponding coasting vehicle speed.

8. The method of claim 1, wherein the coasting attribute comprises a coasting time, and wherein the determining the travel resistance of the vehicle based on the at least one coasting test vehicle speed and the corresponding coasting attribute in the current segment speed interval and the vehicle mass of the vehicle under test comprises:

determining the total sliding duration corresponding to the current sectional speed interval based on the sliding time corresponding to the at least one sliding test vehicle speed;

determining a taxi acceleration corresponding to the current segment speed interval based on the at least one taxi test vehicle speed and the total taxi duration;

determining the windward area and the air density corresponding to the vehicle to be tested in a sliding test, and determining the air resistance to be used based on the windward area and the air density, the sliding acceleration and a preset wind resistance coefficient;

and determining rolling resistance to be used based on the whole vehicle mass and a preset rolling resistance coefficient, and determining the running resistance based on the air resistance to be used and the rolling resistance to be used.

9. The method according to claim 1, wherein the determining a test result of the test for the running resistance of the vehicle to be tested based on the running resistance includes:

Determining a zero order coefficient and a quadratic coefficient corresponding to the running resistance;

respectively correcting the zero order term coefficient and the quadratic term coefficient to obtain a corrected zero order term coefficient and a corrected quadratic term coefficient;

determining rolling resistance to be compared based on the corrected zero-order term coefficient, and determining air resistance to be compared based on the corrected quadratic term coefficient;

determining a test result for testing the running resistance of the vehicle to be tested based on the rolling resistance to be compared and a preset rolling resistance threshold value and the air resistance to be compared and a preset air resistance threshold value; wherein the test result includes a coasting valid or a coasting invalid.

10. The method according to claim 1, wherein the determining whether to reacquire section coasting data of a speed section to be supplemented corresponding to the test result performs a supplemental test on the vehicle coasting resistance to be tested, includes:

if the test result is that the sliding is invalid, determining a speed interval to be supplemented corresponding to the sliding invalidity;

determining interval sliding data corresponding to the speed interval to be supplemented;

and carrying out supplementary test on the sliding resistance of the vehicle to be tested based on the interval sliding data.