JPS6370144A - Method and apparatus for inspecting vehicle running - Google Patents

Abstract

PURPOSE:To obtain proper running information under varying running environmental conditions, by dividing running environmental conditions in terms of several factors and the factors are subdivided into one or more levels to compare date under combined conditions in respective factor divisions. CONSTITUTION:Factors of running environmental conditions such as wind velocity, wind direction, weather, condition of road surface are divided into several stages and a reference vehicle runs under running conditions as combination of all divisions to obtain a specified measuring data as reference test data. On the other hand, a vehicle to be inspected runs to obtain running data of the vehicle being inspected under a combinational condition of specified factor divisions. Then, running data under specified factor divisions of the vehicle being inspected is compared to a data corresponding to a running data involving the specified factor divisions of the vehicle being inspected among reference running data of the reference vehicle to determine and discriminate the performance level of the vehicle being inspected.

Description

DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a vehicle running test method and apparatus for conducting a running test of a vehicle.
The present invention relates to a vehicle running inspection method and apparatus for facilitating running inspections under various changing driving environment conditions such as weather and road surface conditions.

Generally, as a test and inspection method for finished products, standard data collected by operating a standard product under predetermined conditions is prepared in advance, and the finished product (inspected product) to be tested and inspected is tested and inspected under the same conditions. An inspection method is adopted in which the test data is obtained by operating the product under the conditions mentioned above, and compared with the standard data mentioned above to determine whether the performance or level is within the allowable range and whether the product is of good quality. .

This type of method is currently being adopted in the automobile industry, where data measuring instruments such as accelerometers, sound level meters, vibration meters, pedal force needles, etc. are mounted on completed and standard cars and the cars are run on a test course. The obtained measurement data of various inspected vehicles and
Compare with standard test data obtained by driving a standard vehicle type to determine whether automatic transmission shock, noise level, high-speed vehicle body vibration, various noise levels, etc. meet the performance or standard within the specified range. Tests are being conducted to determine this.

In this case, the standard test data is a standard vehicle (actual vehicle) that has been adjusted for ride comfort level, high-speed vehicle body vibration, wheel imbalance, noise such as cabin noise, gear shift shock, etc. using various measuring instruments to obtain the above data. The samples are collected by driving the vehicle on a test course. Of course,
Even if the vehicle is driven on the same test course, the standard test data obtained will naturally be different if the driving environment conditions are different. In other words, the environmental conditions when driving are generated by changes in multiple factors such as wind speed, wind direction, weather, and road surface conditions. Water droplets that hit the wheel house or the bottom of the floor may be detected as vibrations, or
There is a problem that the noise is detected as noise and causes a decrease in the evaluation of the vehicle being inspected. Due to these problems, measurement data errors due to differences in driving environmental conditions are either ignored or
Alternatively, it has been common practice to drive the vehicle under test only under predefined driving environment conditions and collect measurement data. Therefore, it is virtually difficult to perform driving inspections on all completed vehicles that are produced in large quantities, or the accuracy and reliability of inspections is low, forcing the test driver to rely on his or her intuitive judgment. It has been pointed out that there are also problems.

The present invention has been made to overcome such inconveniences, and it is possible to obtain predetermined measurement data by running a vehicle that is to be a standard, use this as standard test data, and run a vehicle to be inspected to obtain predetermined measurement data. A vehicle running system that compares predetermined measurement data with the standard test data, and performs a vehicle running test by obtaining suitable running information under various driving environment conditions such as wind speed, wind direction, weather, and road surface conditions. The object of the present invention is to provide a vehicle running inspection method and device that can be carried out efficiently and accurately, thereby contributing to improving the quality and reliability of vehicles.

In order to achieve the above object, the present invention classifies driving environmental conditions into multiple factors such as wind direction, temperature, wind speed, etc., further divides the factors into one or more, and sets a standard vehicle under combination conditions of each factor classification. By running the test vehicle under the conditions, standard running data such as vibration and wind noise of the standard vehicle is obtained for each factor category, and on the other hand, by running the vehicle to be inspected, the combination conditions of the factor categories specified during the run are determined. The running data of the inspected vehicle such as vibration and wind noise is obtained under the following, and the running data under the specific factor category of the inspected vehicle and the running data related to the specific factor category of the inspected vehicle in the standard running data of the standard vehicle are obtained. The feature is that the performance level of the inspected vehicle is understood and determined by comparing it with the corresponding data.

Further, the present invention uses an on-vehicle data measuring instrument to drive a standard vehicle to obtain predetermined measurement data as standard test data, and uses the on-vehicle data measuring instrument to drive a vehicle to be inspected to obtain predetermined measurement data. A vehicle running inspection device that performs a running inspection of a vehicle by comparing the measurement data of the above with the standard test data, the vehicle running inspection device classifying a plurality of running environment factors into a plurality of stages, respectively,
The standard test data is obtained by driving the standard vehicle under each driving environment condition based on all combinations of each classification, and the standard test data recording means stores the standard test data, and the test vehicle when the test vehicle is driven. An input means for inputting driving environmental conditions is provided, and the predetermined measurement data obtained by driving the vehicle to be inspected and the standard test data obtained under driving environmental conditions matching the driving environmental conditions of the vehicle to be inspected are provided. It is characterized by selection and comparison.

Next, preferred embodiments of the vehicle running inspection method according to the present invention in relation to the apparatus for carrying out the method will be listed.
A detailed description will be given below with reference to the accompanying drawings.

FIG. 1 is a block diagram showing the configuration of a vehicle running inspection device according to the present invention, and this vehicle running inspection device basically consists of an on-vehicle data measuring device 12 and a data management device 14. The on-vehicle data measuring instrument 12 is composed of a data measuring unit 16 and a CPU unit 1-18, and can be connected to a data management device 14, input/output device 24 such as a printer, a keyboard, etc. via a connector 20.22. It has become. This vehicle-mounted data measuring instrument 12 is integrally incorporated in a carrying case (not shown) or the like so that it can be mounted on a standard vehicle or a vehicle to be inspected.

In the data measurement unit 16, reference numeral 26 indicates a noise microphone, and the sound inside the vehicle detected through the noise microphone 26 is passed through a bandpass filter 28 to a sound level meter 30.
is input. Measurement data measured by the sound level meter 30 is sent to the CPU unit 18 and recorded. Reference numeral 32 indicates a pedal pedal, and the brake pedal force detected thereby is sent to the CPU unit 18 via the strain gauge amplifier 34 and recorded in the same manner as described above. Note that reference numbers 36a, 36b, and 38 indicate the horizontal direction (vehicle length direction), horizontal direction (vehicle width direction), and vertical direction (vertical direction), respectively.
The acceleration signals obtained by these servo accelerometers 36a, 36b, and 38 are sent to the CPU via a low-pass filter 40.
It is sent to unit 18 and recorded.

The CPU unit 18 basically consists of a processor 42, a memory 44, a control storage 46, an input/output interface 48, 50, 52, and an A/D converter 54, and the measurement data obtained through the sound level meter 30 is inputted. It is stored in memory 44 through output interface 48 . On the other hand, the measurement data obtained from the pedal pedal and the horizontal and vertical servo accelerometers 36a, 36b, and 38 are transmitted through the strain gauge amplifier 34 and the low-pass filter 4, respectively.
0, the analog signal is converted into a digital signal by the A/D converter 54, and stored in the memory 44. The processor 42 is for performing the above measurement data collection process and data analysis described below under the control of the control storage 4G.

The data management device 14 includes a host processor 56 and a memory 58, and uses measurement data obtained by driving a standard vehicle on a test course using the in-vehicle data measuring device 12 as standard test data, and pairs it with the driving environment conditions at that time. The data is then recorded in the memory 58. The driving environment conditions are configured so that they can be input to the on-vehicle data measuring device 12 and the data management device 14 via the input/output device 24 and the input/output interface 52 .

The apparatus for carrying out the vehicle running inspection method according to the present invention is basically constructed as described above, and its operation and effects will be explained next.

As mentioned above, the standard test data collected by driving a standard vehicle will naturally vary depending on the driving environment conditions. Therefore, in the present invention, the factors that form driving environment conditions such as wind speed, wind direction, weather, and road surface conditions are divided into a plurality of stages, and the on-vehicle data measuring device A standard car is loaded with the standard test data, and is driven on a test course to obtain predetermined measurement data, which is then recorded in the data management device 14 along with the standard test data 17. Therefore, the memory 5 of the data management device 14
8, the driving environment conditions when the standard car was driven and the standard test data obtained at that time are recorded in pairs, and the necessary information is recorded when performing a comparative analysis with the measured data of the specific gravity. It is configured so that standard test data can be searched and output.

For example, as shown in Table 1, the driving environment conditions include wind speed, wind direction,
Each factor such as temperature is divided into multiple stages, and standard test data is collected from all combinations of each stage. In the case of Table 1, there are four levels of wind speed, four directions of wind, and five levels of temperature, so 4X4X5=80, resulting in the following environmental conditions.

Table 1 Of course, it is possible to further add road surface conditions to the factors in Table 1, and it is also possible to further refine the stage divisions.

Next, the vehicle-mounted data measuring device 12 is mounted on the vehicle to be inspected and predetermined measurements similar to the standard test data are taken. The stage classification is input into the data management device 14 using the keyboard of the input/output device 24. That is, upon input of the driving environment conditions of the vehicle to be inspected, the host processor 56 of the data management device 14 searches the memory 58, reads standard test data collected under driving environment conditions that match the driving environment conditions, and It is sent to the CPU unit 18 of the vehicle-mounted data measuring instrument 12 via the connector 20 and stored in the memory 44.

Note that the measurement results of the driving environment factors during the driving test of the vehicle to be inspected may be input into the data management device 14 by automatic measurement (although it is of course possible to separately measure and input them manually). be.

In this way, the vehicle-mounted data measuring device 12, which stores standard test data that matches the driving environment conditions of the vehicle to be inspected, is mounted on the vehicle to be inspected, and the vehicle is driven on a test course.
, pedal pedal 32, servo accelerometer 36a, 36b, 3
The data measured by 8 is compared and analyzed with the standard test course read into the CPU unit 18 to determine whether the performance level of the inspected vehicle is within a predetermined range and is a good product.

Examples of measurement items include: ■ Shock during automatic gear shifting, 0 ride comfort level, ■ High-speed vehicle body vibration, ■ Muffled noise inside the vehicle, ■ Wind noise, ■ Brake pedal force and deceleration, etc. Shocks during automatic gear shifting and high-speed vehicle body vibrations are detected by horizontal and vertical servo accelerometers 35a.
, 36b, and 38, for example, using the Full Wave CountMethod
) to obtain data.

The measurement data thus obtained is then compared with standard test data obtained in a similar manner using a standard vehicle to determine whether or not the performance is at the predetermined performance level as described above. Regarding the full wave method, for example, see "Metal Fatigue and Design" published by Corona Publishing (3rd edition, March 20, 1978).
Mechanical Engineering Department 7, co-authored by Minoru Kawamoto et al. P, 124-P, 137
P. 129).

For example, the ride comfort level can be evaluated using the servo accelerometer 362.
The human force waveforms measured by 36b and 38 are processed by the full-wave method, and the oscillation degree (strength rank and number of times of acceleration) corresponding to the vibration amplitude and strong acceleration in a certain frequency band (test frequency band) is calculated. The product is calculated to determine the dew value (m/5ec2) within a unit time (measurement time), and this value is compared with a preset dew value to determine and evaluate. This makes it possible to perform -,5 objective and quantified evaluation. The details of this evaluation direction will be explained below.

Figure 2a shows the servo accelerometer 36a, 36b or 38
It is a diagram showing a measurement waveform W, which is a measurement waveform W,
When approximated to a sine wave W2 at polarization points P+, Pz, P*, etc., a waveform as shown in FIG. 2 is obtained. The amplitude of this waveform is determined as follows: a=(ah-al')/2 am=(ah+all)/2, and 1 is added to the memory location corresponding to this amplitude and frequency. When the first superimposed wave is removed, the waveform shown in FIG. 2C remains. By repeating the above operation until this waveform becomes a DC component, the frequency number (
Three-dimensional frequency data called N) is obtained. FIG. 2d shows this in the form of contour lines. This waveform processing and analysis method is known as the full-wave method, and is detailed in the aforementioned literature.

Data corresponding to a predetermined test frequency band is extracted from the three-dimensional frequency data of amplitude, frequency, and frequency thus obtained. This test frequency band can be selected depending on the evaluation item, and frequency bands corresponding to tire components, damper components, frame components, engine components, etc. can be used, and can be used to estimate the cause of vibration generation. .

The product of the amplitude (a) and the frequency number (N) is calculated from the three-dimensional frequency data extracted in the above test frequency band (B
), and the standard test data collected by driving a standard car and calculated by the same method, the product of frequency and amplitude (A), is divided by (B)/(A), and the percentage is calculated and displayed. , it is possible to determine whether the product is acceptable or not by comparing it with a separately set tolerance value. If it is determined to be defective, the standard test data (three-dimensional frequency data: contour line pattern in Figure 2 d) on the standard vehicle and the measurement data (three-dimensional frequency data) on the vehicle to be inspected are combined, for example, with the standard test data. By subtracting the measured data of the vehicle being inspected from the above, taking the difference, etc., and comparing the results, the amplitude and frequency of the measured data of the vehicle being inspected can be used to determine the impact on the ride comfort level of tire components, damper components, frame components, engine components, etc. It is also possible to estimate the source of the vibration component.

FIG. 3 is a flowchart illustrating the above processing procedure. In step 1, vibration is measured by a servo accelerometer, and in step 2, waveform analysis is performed using the full wave method detailed in FIG. 2. In step 3, the resulting three-dimensional frequency data is accumulated, and in step 4, data in the test frequency band is extracted. Then step 5
Now, find the product (B) of the frequency number (N) and the amplitude (a).

Next, in step 6, the product (A) of the number of steps (N) and the amplitude in the standard 4t test data is obtained, and division (B)/(A) is performed. A comparison is then made between the standard test data and the measured data on the vehicle being inspected, and the percent distribution is calculated (step 7), which is displayed in step 8.

Next, the ride comfort vibration is caused by acceleration (G
), that is, it is determined by the relationship between stress (amplitude) and frequency (Ilz). Therefore, we specified the test frequency range and
While driving a standard car, the servo accelerometers 36a, 36b,
38, data is obtained at a three-dimensional frequency using the aforementioned full-wave method, and the sum of G within the test frequency range is determined, and this is used as the standard value. Next, in the same test frequency range, the vehicle to be inspected is driven in the same manner, and measurements and processing are performed to determine the sum of the G's of the vehicle to be inspected.

Then, by determining the ratio of the G of the standard vehicle to the G of the inspected vehicle, it is determined whether the performance is at a desired level based on whether it is within a predetermined range.

Figure 4a is for obtaining ride comfort vibration data for the standard type, and the verification frequency range is from n, llz to nJz
has been selected. In this test frequency range, 0.
3G has 10 pieces, while 0.1G has 3 pieces. The number of G measurements at the test frequency of 1·n is not taken into consideration.

Figure 4 is for obtaining ride comfort vibration data on the vehicle being inspected, and the inspection frequency range is n as above.
, Ilz to n211z.

In this verification frequency range, there are 10 0.4Gs,
On the other hand, 0.2G is 5 pieces. Again, the number of G measurements outside the test frequency range is not taken into consideration.

Therefore, it is determined whether the inspected vehicle is within a predetermined range with respect to the standard type data using the following equation.

(0゜4Gx10+0.2Gx5)/(0,3GxlO
+0. IGx3) > 1 In this case, preferably, the inspected vehicle data must be less than the standard table data selected to obtain the limit value, so that it is determined that the inspected vehicle does not exist in the desired range. Ru.

Regarding wind noise (2), the measurement data collected by the noise microphone 26 is compared with standard test data obtained by the standard type to determine. With this wind noise,
As shown in FIG. 5, whether or not the performance level is at a predetermined level is determined by the correlation between frequency and sound pressure level. That is, a test frequency range is specified, and the sound pressure level in the standard type is measured in this test frequency range (Figure 5a).
. Meanwhile, the sound pressure level of the vehicle to be inspected is measured in the same verification frequency range as described above (FIG. 5b). The two sound pressure levels obtained in this way are compared, and when the sound pressure level of the vehicle under test is higher than the standard sound pressure level for determining the limit value (see solid line C in Figure 5), the desired On the other hand, when the sound pressure level is lower than the standard sound pressure level (see the broken line in FIG. 5C), it is determined that the wind noise performance is within the desired performance level.

As described above, during a driving test of a vehicle to be inspected, standard test data collected from the data management device 14 under driving environmental conditions matching those of the vehicle to be inspected is sent to CPtJ unit 8 of the on-vehicle data measuring device 12. The explanation was given as Mr. Ji5'f2g who reads the measured data of the inspected vehicle using the on-vehicle data measuring device 12 mounted on the inspected vehicle and performs comparative analysis with the standard test data, but the reverse is true, that is,
An on-vehicle data measuring device 12 is mounted on the vehicle to be inspected, the measurement data of the vehicle to be inspected obtained by driving the vehicle is transferred to the data management device 14, and the driving environment conditions of the vehicle to be inspected while driving are transmitted to the data management device 14. input, the data management device 14 selects standard test data obtained under driving environment conditions that match the driving management conditions of the vehicle to be inspected, and performs a comparative analysis with the measured data of the vehicle to be inspected. You can also do it.

As explained above, the vehicle running inspection method and device according to the present invention classifies a plurality of running environment factors into a plurality of stages, and tests the standard type under each running environment condition by combining all three of each classification. According to the driving environmental conditions when the vehicle to be inspected is driven, standard test data obtained under driving environmental conditions that match the driving environmental conditions are selected, and the standard test data is accumulated. Since the configuration compares the measurement data obtained by driving the vehicle with the standard test data, it is possible to conduct running inspections of completed vehicles under any environmental conditions, greatly improving inspection efficiency and This has the advantage that it is possible to conduct a running test on all the vehicles. Additionally, if new driving environmental conditions occur for which standard test data has not been collected, the standard model can be run under those conditions, standard test data can be collected, and it can be easily added to the database. It also has advantages.

Furthermore, since the configuration is configured to compare the standard test data collected under driving environmental conditions that match the driving environmental conditions of the tested vehicle with the measured data of the tested vehicle, it is possible to compare the driving environmental conditions of the tested vehicle and the standard test data. It has various advantages, such as being able to minimize errors in measurement data due to differences in standard driving environment conditions when data is collected, and improving inspection accuracy and reliability. There is.

Although the present invention has been described above by citing preferred embodiments, the present invention is not limited to these embodiments, and various improvements and design changes can be made without departing from the gist of the present invention. Of course.

[Brief explanation of the drawing]

FIG. 1 is a block diagram showing the configuration of a vehicle running inspection device using an on-vehicle data measuring instrument according to the present invention; FIGS. 2a to 2d are diagrams illustrating measurement waveform processing for evaluating ride comfort level; Figure 3 is a flowchart showing the processing procedure, Figure 4a
and b are explanatory diagrams showing the relationship between acceleration and frequency for obtaining ride quality vibration data for the standard vehicle and the tested vehicle, respectively. Figures 5a to 5C are sound pressure levels and frequencies for obtaining wind noise data. FIG. 12... Vehicle-mounted data measuring device 14... Data management device 16... Data measuring unit 18... CPU unit 24... Input/output device 26... Noise microphone 32... Stepped pedal 34... ...Strain gauge amplifiers 36a, 36b, 38...Servo accelerometer 42
...Processor 44...Memory 46.
...Control storage 54...A/D converter 56...Host processor 58...Memory FI
G, 4

Claims (2)

[Claims] (1) By classifying driving environmental conditions into multiple factors such as wind direction, temperature, wind speed, etc., and further classifying the factors into one or more, and driving a standard vehicle under a combination of each factor classification, each factor can be determined. Standard driving data such as vibration and wind noise of the standard vehicle is obtained for each category, and on the other hand, the vehicle to be inspected is run and vibration, wind noise, etc. Obtain driving data of the vehicle to be inspected,
The performance level of the inspected vehicle is understood by comparing the running data of the inspected vehicle under the specific factor category with the data corresponding to the running data related to the specific factor category of the inspected vehicle in the standard running data of the standard vehicle. A vehicle running inspection method characterized by determining. (2) Using an on-vehicle data measuring instrument, a standard vehicle is run to obtain predetermined measurement data, which is used as standard test data, and the on-vehicle data measuring instrument is used to drive a vehicle to be inspected, and the predetermined measurement data is obtained. A vehicle running inspection device that performs a running inspection of a vehicle by comparing data with the standard test data, which classifies a plurality of driving environment factors into a plurality of stages, and tests each driving environment condition based on all combinations of each classification. comprising a standard test data recording means for driving the standard vehicle to obtain the standard test data and accumulating the standard test data; and an input means for inputting the driving environment conditions of the vehicle to be inspected when the vehicle to be inspected is running; A vehicle characterized in that the predetermined measurement data obtained by driving the vehicle to be inspected and the standard test data obtained under driving environmental conditions matching the driving environmental conditions of the vehicle to be inspected are selected and compared. Running inspection equipment.