KR100593416B1 - Dynamic ride comfort analysis method and dynamic ride comfort analysis device - Google Patents

Abstract

It was developed to compensate for the lack of credibility of the evaluation caused by the development work based on only subjective evaluation regarding the dynamic ride comfort when the automobile company develops a new vehicle. By integrating and synthesizing the items and the contents of ISO 2631 (Mechanical vibration and shock-Evaluation of human exposure to whole-body vibration) based on ergonomics, evaluating subjective evaluation by completely replacing it with objective measurement. It aims to build credibility, to develop more improved vehicles in terms of dynamic ride comfort, to shorten vehicle development time, and to utilize human resources efficiently.

Dynamic ride comfort, human vibration, subjective evaluation, objective evaluation, correlation analysis, frequency weighting function, vibration evaluation index, dynamic riding index, ergonomics, psychophysical square law, multilateral variation, personal variation

Description

Dynamic Ride-Comfort Analysis Method and Device

1A to 1D are configuration diagrams and a flowchart for explaining a dynamic ride comfort analysis apparatus according to an embodiment of the present invention.

<Description of Reference Numbers for Main Parts of Drawings>

100: dynamic ride analysis device data acquisition unit

200: vehicle 210: vehicle seat 211, 212, 220: axis to be measured

300: dynamic ride comfort analysis device data processing unit first step

400: second step of the dynamic ride analysis device data processing unit

500: third step of the dynamic ride analysis device data processing unit

600: dynamic ride comfort analysis device data output unit

The present invention relates to a dynamic ride comfort analysis apparatus that enables an objective dynamic ride comfort evaluation, and more particularly, to a dynamic ride comfort analysis apparatus capable of replacing a task performed based on subjective evaluation only in an objective evaluation.

Subjective dynamic ride evaluation has long been conducted for the purpose of evaluating the dynamic ride comfort of a vehicle, but due to the two problems of subjective evaluation, inter-variability and intra-variability, reliable dynamic ride evaluation is achieved. Because it was difficult to carry, it was difficult to carry out the automobile development work related to the dynamic ride, and it was inevitable to consume a lot of time and human resources.

In addition, each automaker wanted to help the vehicle development by setting the dynamic ride comfort index in its own way, but it was a dynamic ride comfort rating that was set using empirical formulas rather than theoretical and systematic grounds. It is not applicable to the item or is not disclosed to the outside.

Therefore, the technical problem of the present invention is to integrate subjective evaluation results of dynamic ride comfort evaluation items owned by automobile companies and measurement system constructed based on ISO 2631 through correlation analysis based on ergonomics. By evaluating internally and by evaluating the system internally, it is possible to determine the appropriate driving conditions for each case by various dynamic ride comfort items, and to derive the appropriate dynamic ride comfort index for each case directly based on clear theoretical basis. The present invention provides a dynamic ride comfort analysis apparatus of a system concept that integrates a series of processes that can be applied to a vehicle to completely replace the subjective evaluation with an objective measurement.

According to an aspect of the present invention, there is provided a dynamic ride comfort analysis apparatus comprising: a data acquisition unit for acquiring a vibration acceleration signal generated in a human body in a vehicle state, and using the acquired data to determine a dynamic ride comfort. It consists of a data processing unit in which a detailed algorithm for replacing subjective evaluations with objective measurement evaluations, and a data output unit for displaying in real time the contents and results of the data acquisition unit and processing unit. The data acquisition unit is for obtaining a vibration acceleration signal in the human body part related to the dynamic ride comfort, and the translational and rotational movement of the hip region, the translational movement of the back region and the translational movement of the foot region as defined in ISO 2631 Accelerometers and tachometers are used as instruments. The instrument is converted into a voltage signal through an appropriate signal conditioner, and the voltage signal is transmitted to the data processing unit through an analog to digital (AD) converter. The three-step data processing unit includes the ability to completely replace the subjective assessment of dynamic ride comfort with an objective measurement assessment. The contents of the data acquiring unit and the data processing unit and the dynamic riding comfort evaluation result for the development target vehicle derived from them are transmitted to the user through the output unit and the data file to help the analysis of the analysis situation and in terms of the dynamic riding comfort. It is used as a data for setting the development direction of the vehicle.
The data processing unit of the dynamic ride comfort analysis apparatus is a data processing unit first step of building a measurement database by performing a pre-processing filtering to perform the vibration evaluation index measurement based on ISO 2631 for various vehicles and driving conditions, and the first data processing unit The data processing unit 2nd step of deriving the dynamic riding comfort index and the appropriate driving condition for each dynamic riding comfort item by receiving the result of the subjective evaluation performed separately from the first step of the data processing unit and the result of the second step of the data processing unit The data processing unit is a third step of deriving a ride comfort evaluation result through real-time measurement without performing the subjective evaluation test. Details of the data processing unit are as follows.

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When a vehicle travels on various preset road surfaces (for example, roads that provide various vehicle movements), the 12-axis vibration transmitted to the human body in a seated state is measured in acceleration units in real time. translation of three seat cushion translations (xs, ys, zs) and three axes of rotation (rx, ry, rz) and seat back translation (xb, yb, zb) and foot based on ischial bone tuberosity It is three axes (xf, yf, zf).
The first step of the data processing unit according to the present invention applies a frequency weighting function for human vibration defined in ISO 2631 to these 12 axes, and the following equation 1 defined in ISO 2631. The two vibration evaluation indexes (vibration index) are calculated in real time and stored including the vehicle and driving conditions.

[Equation 1]

In Equation 1, a _w is the acceleration to which the frequency weighting function is applied, Tt is the measurement time, and N is the number of data acquisitions.

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In the second step of the data processing unit, the data processing unit 1 receives as inputs the result data derived by being performed for various vehicles and driving conditions and evaluation data through subjective evaluation performed separately from the data processing unit 1.
In addition, each vibration evaluation index acts as an effective factor for various dynamic riding comfort items in a combined vibration index (CVl) such as Equation 2 including a combination of RMS of 12 axes, RMQ of 12 axes, and VDV of 12 axes. Independent weighting factors w for 36 vibration evaluation indices are set to determine whether the
Then, for the weighting factors (w), the correlation analysis of the results obtained by applying the vehicle-specific vibration evaluation indexes in all driving conditions to the combined vibration evaluation index of Equation 2 and the subjective evaluation results for each vehicle By internally adjusting the weighting factors (w), a combination vibration evaluation index and a driving condition most suitable for each dynamic riding comfort item are derived.
In this case, the combination vibration evaluation index is applied to a psychophysical power law, such as Equation 3, which expresses the sensibility of the stimulus in ergonomic theory, to derive a new dynamic ride index for each dynamic riding comfort item. In addition, statistical background data such as correlation coefficients and confidence intervals are stored together with preprocessing-filtering conditions.

[Equation 2]

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Where w _{aaB is the} weighting factor (aa is the axis, B is the S (RMS), Q (RMQ), V (VDV) value)

[Equation 3]

Where Ψ: sensitivity (dynamic ride comfort), Φ: magnitude of magnetic pole (combined vibration evaluation index: CVI-> vibration evaluation index), k: constant, and β: exponent.

In the third step of the data processing unit, the dynamic riding comfort item to be evaluated in the driving condition determined to be the most suitable for the dynamic riding comfort item, which is the test object, is the result of the second step of the data processing unit as an input for the vehicle to be newly evaluated. Automatic pre-filtering and measurement conditions are set automatically to perform real-time measurements on the ISO 2631 vibration evaluation index. In addition, the combined vibration evaluation index (CVI) is obtained by applying the weighting factor obtained in the second step to the vibration evaluation index.
Thereafter, the dynamic riding comfort index (k and β) and the combined vibration evaluation index corresponding to the dynamic riding comfort item to be tested among the results of the second step of the data processor are applied to Equation 3 to obtain the dynamic riding comfort (Ψ). do. This allows for a complete transition to the experimental measurement of subjective evaluation.

Since Equation 3 is a relational function consisting of a square function, the correlation analysis in the second step is performed by taking a logarithm function on both sides of Equation 3, and thus all correlations are logarithmic. Means that.

If the data acquisition unit and the data processing unit proceed from the first to the third stages, subjective evaluations can be converted into measurement evaluations under the same theoretical background for the dynamic ride evaluation items having different systems for each automobile company.

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the present invention will be described in detail.

FIG. 1A is an overall configuration diagram of a dynamic ride comfort analyzing apparatus according to an embodiment of the present invention, and FIGS. 1B to 1D are flowcharts illustrating a data processor of the dynamic ride comfort analyzing apparatus.

Referring to FIG. 1A, the dynamic ride comfort analyzing apparatus according to the present embodiment acquires data of 12-axis (211, 212, 220) vibrations defined by ISO 2631 for a human body seated on a seat 210 of a vehicle 200. The measuring unit 110, the signal controller 120, and the AD (analog to digital) converter 130 constituting the unit 100 are converted into numerical values that can be used in the program. The acceleration data converted into numerical values in the above manner is used to derive the vibration evaluation index prescribed in ISO 2631 in the first step (first data processing unit) 300 of the data processing unit, and the data processing unit performed on the vehicles for constructing the database. The result of the first step is transferred to the second step (second data processor) 400 of the data processor. In the second step 400 of the data processor, the results of the subjective evaluation 230 performed separately are delivered together, and a new dynamic ride comfort index and a constant are derived through the weighting factor setting and the correlation analysis through the data processor. Delivered. The third step (the third data processor) 500 of the data processor plays a role of completely replacing the subjective evaluation test with the objective measurement evaluation using the result received from the second step 400 of the data processor. The contents and the step-by-step results of the data acquisition unit and the data processing unit are provided to the user through the corresponding data output unit 600 so as to grasp the overall analysis situation.
If the database is sufficiently secured in the first stage, the result obtained in the second stage of the data processor includes effective dynamic ride index, preprocessing-filtering conditions, and statistical background data for all the ride comfort items. The process up to now does not need to be performed again, and afterwards, only the third step is performed to evaluate the dynamic ride measurement for the new vehicle to be evaluated.

Referring to FIG. 1B, the first step 300 of the dynamic ride comfort analyzing apparatus data processing unit according to the present embodiment includes a seat cushion defined in ISO 2631 for a human body seated on the seat 210 of the vehicle 200. The preprocessing filtering 310 is performed on a signal obtained in real time (100) of the 6-axis 211, the 3-axis 212 on the seat back, and the 3-axis 220 corresponding to the foot vibration on the floor. Will be performed.
Since the pre-processing filtering 310 is limited in the number of road conditions that actually exist, it does not depend on the actual road shape evaluation of each riding comfort item by draining virtual road conditions from existing road surfaces. The dynamic ride comfort items are based on the theoretical basis that they are related to the combination of frequency domain and human body vibration, and to provide various driving conditions based on the frequency domain to derive suitable driving conditions for various dynamic ride comfort items.
The preprocessing filtering 310 proposed in the present invention includes implementing a low pass filter based on the resonance frequency of the seat cushion, implementing a high pass filter, and low pass based on a frequency lower than the resonance frequency. Examples include implementing a filter, implementing a high pass filter based on a frequency higher than the resonance frequency, implementing an arbitrary band pass filter, and the like.

The acceleration signal in which the preprocessing filtering 310 is completed is subjected to the ISO 2631 frequency weighting function 320 set differently for each of the 12 axes, and the acceleration signal to which the weighting function is applied is the vibration evaluation index 330 described in Equation 1 in real time. The calculated results are stored in the data file method 340 together with the information of the vehicle and the driving conditions, and the same experiment is performed on the various vehicles and the driving conditions, so that the data processing unit 340 performs the second step. Is delivered to.

Referring to FIG. 1C, the second step 400 of the dynamic ride comfort analyzing apparatus data processing unit according to the present exemplary embodiment may include the results 340 for each vehicle and driving condition received as a data file from the first step 300 of the data processor. And the subjective evaluation result 230 for each vehicle that is performed separately from the first step 300 of the data processor and the data processing unit are all performed in the form of a data file, and as described in Equation 2, a total of 24 vibration evaluation indices To perform a correlation analysis 420 between the combined vibration evaluation index and the subjective evaluation result for all the combined cases through the function 410 of setting the weighting factors w of the two and internally adjusting the weighting factors w; do.
The subjective assessment 230 here is better than the general public, so that factors such as changes in evaluators and changes in personal conditions that do not occur as much as possible, such that the aforementioned multilateral and personal changes are minimized as much as possible. It is advisable to conduct a trained test engineer, and build these subjective evaluation results into a database.
In the correlation analysis 420, the magnitude of the correlation coefficient for each case is compared, and the driving condition (speed condition and pre-filtering condition on the road surface) and the combined vibration evaluation index having the largest correlation coefficient for each dynamic riding comfort item By deriving, it is possible to select the combination vibration evaluation index and the corresponding operating conditions having the best correlation for each dynamic riding comfort item (430). In addition, when the psychophysical square law shown in Equation 3 is applied, a new dynamic ride comfort index is derived 440 for each dynamic ride comfort item, and a new dynamic ride comfort index 440 derived for each dynamic ride comfort item and its operating conditions and The combined vibration evaluation index 430 and the like are transmitted to the data processing unit 3 by the data file method 450.

Referring to FIG. 1D, the third step 500 of the dynamic ride comfort analyzing apparatus data processing unit according to the present embodiment includes a new dynamic ride comfort index 440 derived from the second step of the data processing unit for each dynamic ride comfort item, driving conditions thereof, and The combined vibration evaluation index 430 is delivered in the form of a data file 450 to perform real-time measurement. The driving conditions including the road surface, the speed, and the pre-processing filtering conditions are determined for each dynamic riding comfort item in the second step of the data processor. After acquiring data (510) in real time on a road surface and a speed condition specified according to the corresponding driving conditions, and performing preprocessing filtering 520 on the obtained acceleration signal as set in the corresponding driving conditions, 12 24 vibration evaluation indices (540) are applied to the vibration acceleration signal to which the axial frequency weighting function 530 is applied and the weighting function is applied. ) And the results may be stored in data file 550 and used for expansion of the database if desired.
The calculated vibration evaluation indices 540 are applied to the combined vibration evaluation index 560 for the corresponding dynamic riding comfort item transmitted from the second step of the data processing unit, and the riding comfort evaluation result excludes multilateral and personal variation through objective measurement. The dynamic ride comfort index calculation 570 for deriving the data is completed, and all the derived results are stored in the data file 580.

As described above, according to the dynamic ride comfort analysis apparatus according to the present invention, the task of performing only the subjective evaluation in the field of automobile development is replaced by the objective evaluation, which is the two problems of the subjective evaluation, which are multi-variability and personal A reliable dynamic ride comfort assessment can be made by excluding intra-variability.
Based on this, it is possible to develop improved vehicles in terms of dynamic ride comfort, shorten the vehicle development period and efficiently utilize human resources.

Claims (5)

Pre-processing filtering step of flowing out the vibration acceleration signal for each of various road conditions suitable for each ride comfort item from the vibration acceleration signal obtained through the data acquisition unit for obtaining the vibration acceleration signal transmitted to the human body seated in the vehicle, the pre-processing filtering is applied A weighting function applying step of applying a frequency weighting function to the vibration acceleration signal for each road condition, a vibration evaluation index calculating step of calculating a vibration evaluation index for the acceleration signal to which the weighting function is applied, the vibration evaluation index and the corresponding vehicle information and A first step of a data processor including a data transfer step of transferring the driving condition to a next step in a data file method; The weighted part applying step of applying the vibration evaluation index weighting factor to each vibration evaluation index of the first step of the data processor, and the combined vibration evaluation index and the subjective evaluation result obtained for each riding comfort item Correlation analysis step of adjusting the weighting factor and analyzing the correlation, and when the operating condition and the combination vibration evaluation index satisfying the correlation for each riding comfort item are determined from the correlation analysis step, the combined vibration evaluation index and subjective evaluation result Is applied to the psychophysical square law to derive a dynamic ride comfort index for each ride comfort item, and delivers the data to the next stage in the data file method. A second step of a data processor including a step; And The vibration evaluation indexes derived from the real-time vibration evaluation index measurement step for the new evaluation target vehicle performed in the driving condition for each dynamic riding comfort item derived in the second step of the data processing unit, and the vibration evaluation indexes derived from the real-time vibration evaluation index measurement step Applying the combined vibration evaluation index and the dynamic ride comfort index derived in the step, applying the combined vibration evaluation index and the dynamic ride comfort index to generate a ride comfort evaluation value for the new vehicle to be evaluated subjective evaluation to evaluation through objective measurement And a third step of a data processor including a measurement evaluation step for completely replacing the data and a data storage step of storing the results in a data file manner. The preprocessing filtering step of the first step of the data processor comprises: Implementing a low pass filter and a high pass filter based on the resonance frequency of the sheet, Implementing a low pass filter based on a frequency lower than the resonance frequency of the sheet, and a frequency higher than the resonance frequency of the sheet Implementing a high pass filter as a reference and implementing an arbitrary band pass filter, and using any one of them for each ride comfort item. According to claim 1, wherein the correlation analysis step of the second step of the data processing unit, the values of each of the ride comfort evaluation items based on the logarithmic value of the combined vibration evaluation index and the subjective evaluation results based on the first functional relationship Dynamic itinerary analysis method characterized in that the iteration is performed by adjusting the weight to satisfy. A data acquisition unit for acquiring a vibration acceleration signal transmitted to a human body seated in a vehicle; Pre-processing filtering is performed so that the virtual acceleration signal for each road condition suitable for each riding comfort item is extracted from the vibration acceleration signal acquired through the data acquisition unit, and frequency weighting is applied to the vibration acceleration signal for each road condition to which the pre-processing filtering is applied. A first data processor applying a function and calculating a vibration evaluation index with respect to the acceleration signal to which the weighting function is applied; The combined vibration evaluation index is generated by applying a vibration evaluation index weighting factor to each vibration evaluation index of the first data processing unit, and the combined vibration evaluation index for the subjective evaluation results obtained for each combination vibration evaluation index and each riding comfort item. Analyze the correlation by adjusting the weighting factors, determine the operating condition and combination vibration evaluation index satisfying the correlation for each riding comfort item, and calculate the combined vibration evaluation index and subjective evaluation result as psychophysical square law A second data processor which derives a dynamic ride comfort index for each ride comfort item by applying to a; For the new vehicle to be evaluated, the real-time vibration evaluation index is measured under the driving conditions for each dynamic riding comfort item derived from the second data processing unit, and the vibration evaluation indexes are combined vibration evaluation index and dynamic riding comfort derived from the second data processing unit. A third data processor which applies to the index and generates a dynamic ride evaluation value for the new evaluation target vehicle; And And a data output unit configured to display contents and results of the data acquisition unit and the first to third data processing units in real time. The method of claim 4, wherein the preprocessing filtering of the first data processing unit is performed. Low pass filter implemented based on the resonance frequency of the sheet, High pass filter implemented based on the resonance frequency of the sheet, Low pass filter implemented based on a frequency lower than the resonance frequency of the sheet, Resonance of the sheet A dynamic ride comfort analysis apparatus, which can be classified into a high pass filter implemented on a frequency higher than a frequency and an arbitrary band pass filter, and any one of them is used for each ride comfort item.

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