An evaluation method and system for vehicle ride comfort
By arranging sensors at key parts of the occupants and performing data processing, the problem of inaccurate riding comfort evaluation in the prior art is solved, and a more accurate occupant comfort evaluation is achieved.
Patent Information
- Application Number
- CN202211360660.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-02
- Publication Date
- 2025-07-04
- Estimated Expiration
- 2042-11-02
AI Technical Summary
The prior art is difficult to accurately characterize the actual car riding comfort of the occupants. The traditional method mainly relies on the acquisition of hard point data of the car and fails to fully reflect the comprehensive feelings of the occupants.
Acceleration and displacement sensors are arranged at the soles of the occupants' feet, seat cushions, back, chest and head. After data is collected, the comfort evaluation indicators are calculated through fast Fourier transform and Savitzky-Golay filtering. Combined with different car states or evaluation methods of testers, the sensor position and evaluation indicators are reasonably set.
It can more accurately characterize the actual comfort of the occupants while the vehicle is driving, and provide a more effective evaluation method.
Smart Images

Figure CN115628919B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to an automobile, and particularly to a method and a system for evaluating the ride comfort of an automobile. Background Art
[0002] With the vigorous development of the automobile industry, major enterprises have increasingly attached importance to the development of automobiles in all directions. As a part that users can clearly perceive during the driving process of an automobile, ride comfort is often used as an important indicator for evaluating the excellence of an automobile. At present, the objective evaluation method of automobile ride comfort mainly installs sensors at the hard points of the automobile and collects data to characterize the comfort. Only data is collected for the automobile to evaluate the ride comfort, while the comfort feeling of the occupants is affected by the comprehensive influence of various components. It is difficult to accurately and effectively characterize the actual comfort of the occupants by using the above evaluation method. Summary of the Invention
[0003] The object of the present invention is to propose a method and a system for evaluating the ride comfort of an automobile to more accurately and effectively characterize the actual comfort of the occupants.
[0004] A method for evaluating the ride comfort of an automobile according to the present invention includes the following steps:
[0005] Arranging sensors:
[0006] Acceleration sensors and displacement sensors are arranged at the positions of the soles of the feet, the seats, the backs, the chests and the heads of the testers.
[0007] Connecting test equipment:
[0008] Each acceleration sensor is connected to a first data acquisition module, each displacement sensor is connected to a second data acquisition module, and the first data acquisition module and the second data acquisition module are connected to a data acquisition host.
[0009] Testing and collecting test data:
[0010] The automobile to be tested enters the corresponding test road for driving according to the test requirements, and the test data of each acceleration sensor and each displacement sensor are collected.
[0011] Processing test data:
[0012] The collected test data is denoised to obtain the processed data.
[0013] Calculating comfort evaluation indexes:
[0014] Calculate the three-component displacement difference d1 and the three-component acceleration difference a1 between the tester's foot position and the tester's seat position based on the processed data, calculate the three-component displacement difference d2 and the three-component acceleration difference a2 between the tester's back position and the tester's chest position based on the processed data, calculate the three-component displacement difference d3 and the three-component acceleration difference a3 between the tester's back position and the tester's head position based on the processed data, and calculate the three-component displacement difference d4 between the tester's seat position and the tester's back position based on the processed data; transform the data of the three-component displacement difference d1, the three-component displacement difference d2, the three-component displacement difference d3, the three-component displacement difference d4, the three-component acceleration difference a1, the three-component acceleration difference a2 and the three-component acceleration difference a3 into the frequency domain by using a fast Fourier transform, and then filter the data transformed into the frequency domain by a Savitzky-Golay filter to obtain filtered data;
[0015] Evaluation of comfort:
[0016] The evaluation method for the same tester in different cars or different car states is as follows: using the filtered data of the three-component displacement difference d1, the three-component displacement difference d4, the three-component acceleration difference a1, the three-component acceleration difference a2, and the three-component acceleration difference a3 as the evaluation index of comfortable jitter, using the data of the three-component displacement difference d2 as the evaluation index of comfortable body part shaking, and using the data of the three-component displacement difference d3 as the evaluation index of comfortable head shaking;
[0017] The evaluation method for different testers in different cars or different car states is: using the filtered data of the three-component acceleration difference a1, the three-component acceleration difference a2 and the three-component acceleration difference a3 as the evaluation index of comfort jitter.
[0018] Optionally, the tester's foot sole position is the tester's feet or the place on the car floor where the tester places his feet, the tester's seat cushion position is the tester's buttocks or the seat cushion of a car seat, the tester's back position is the tester's back or the backrest of a car seat, the tester's chest position is the tester's chest, and the tester's head position is the tester's head or the headrest of a car seat.
[0019] Optionally, the test equipment connection also includes the following steps: connecting the data acquisition host to the computer, and setting the sampling frequency and signal acquisition mode in the computer.
[0020] Optionally, the test data collection further includes the following steps: before the test begins, the test vehicle is turned off and parked in a zero slope area, and data from the acceleration sensor and the displacement sensor are collected for n seconds, where n is a preset value.
[0021] Optionally, the collection of test data is specifically as follows:
[0022] Before the test starts, turn off the test vehicle and park it in a zero - slope area. Collect the data of the acceleration sensor and the displacement sensor for n seconds to obtain the pre - test data, where n is a preset value;
[0023] Wait for the test vehicle to enter the corresponding test road according to the test requirements. After the rear wheels of the test vehicle enter the test road by 3 meters, start collecting the test data of each acceleration sensor and each displacement sensor.
[0024] Optionally, the processing of test data includes the following steps:
[0025] First, calculate the average value of the pre - test data. Based on the average value of the pre - test data, use the zero - position self - learning function to remove the zero - point drift of the test data, and obtain the corrected test data;
[0026] Then, use a band - pass filter with a suitable frequency band to remove the high - frequency noise in the corrected test data;
[0027] Then, use the Kalman filtering method to optimize the corrected test data to obtain the processed data.
[0028] An automobile ride comfort evaluation system according to the present invention includes a first data acquisition module, a second data acquisition module, a plurality of acceleration sensors, and a plurality of displacement sensors,
[0029] All the plurality of acceleration sensors are connected to the first data acquisition module, and all the plurality of displacement sensors are connected to the second data acquisition module;
[0030] The plurality of acceleration sensors are respectively used to be arranged at the positions of the soles of the tester's feet, the tester's seat, the tester's back, the tester's chest, and the tester's head;
[0031] The plurality of displacement sensors are respectively used to be arranged at the positions of the soles of the tester's feet, the tester's seat, the tester's back, the tester's chest, and the tester's head.
[0032] By reasonably setting the sensor positions and the comfort evaluation indexes, the present invention can characterize the ride comfort of the vehicle during driving in the whole - vehicle driving state, and can more accurately and effectively characterize the actual comfort of the occupants. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] Figure 1 It is a flowchart of the automobile ride comfort evaluation method described in the specific implementation manner;
[0034] Figure 2Schematic diagram of the vehicle ride comfort evaluation system described in the specific implementation manner;
[0035] Figure 3 Schematic diagram of the sensor installation positions. Specific implementation manner
[0036] The present invention will be further described below with reference to the accompanying drawings.
[0037] As Figure 1 shown, a vehicle ride comfort evaluation method includes steps one to six:
[0038] Step one: Arrange sensors:
[0039] As Figure 3 shown, acceleration sensors and displacement sensors are arranged at the sole position 35 of the tester, the seat position 34 of the tester, the back position 33 of the tester, the chest position 32 of the tester, and the head position 31 of the tester.
[0040] Step two: Connect the testing equipment:
[0041] Connect each acceleration sensor to the first data acquisition module, connect each displacement sensor to the second data acquisition module, and connect the first data acquisition module and the second data acquisition module to the data acquisition host.
[0042] Step three: Test and collect test data:
[0043] Wait for the vehicle to be tested to enter the corresponding test road for driving according to the test requirements, and collect the test data of each acceleration sensor and each displacement sensor.
[0044] Step four: Process the test data:
[0045] Perform denoising processing on the collected test data to obtain the processed data.
[0046] Step five: Calculate the comfort evaluation index:
[0047] Calculate the three-component displacement difference d1 and three-component acceleration difference a1 between the sole position of the tester and the seat position of the tester based on the processed data, calculate the three-component displacement difference d2 and three-component acceleration difference a2 between the back position of the tester and the chest position of the tester based on the processed data, calculate the three-component displacement difference d3 and three-component acceleration difference a3 between the back position of the tester and the head position of the tester based on the processed data, and calculate the three-component displacement difference d4 between the seat position of the tester and the back position of the tester based on the processed data; use the fast Fourier transform (FFT) to transform the data of the three-component displacement difference d1, the three-component displacement difference d2, the three-component displacement difference d3, the three-component displacement difference d4, the three-component acceleration difference a1, the three-component acceleration difference a2, and the three-component acceleration difference a3 into the frequency domain, and then filter the data transformed into the frequency domain through a Savitzky-Golay filter (the recommended window length is 11, and the recommended order of polynomial fitting is 1) to obtain the filtered data, and analyze the amplitude sizes of each data within 5 - 50 Hz; in specific implementation, record the frequencies and amplitudes of the 5 wave peaks with the largest amplitudes in the frequency domain as the filtered data.
[0048] Step Six, Evaluate Comfort:
[0049] The evaluation method for the same tester in different vehicles or different vehicle states is as follows: Use the filtered data of the three-component displacement difference d1, the three-component displacement difference d4, the three-component acceleration difference a1, the three-component acceleration difference a2, and the three-component acceleration difference a3 as the evaluation index for comfort jitter, use the data of the three-component displacement difference d2 as the evaluation index for comfort body part sway, and use the data of the three-component displacement difference d3 as the evaluation index for comfort head sway;
[0050] The evaluation method for different testers in different vehicles or different vehicle states is as follows: Use the filtered data of the three-component acceleration difference a1, the three-component acceleration difference a2, and the three-component acceleration difference a3 as the evaluation index for comfort jitter. When this evaluation method is used for evaluation in different switches, it is required that the same tester is in the same position of the vehicle, and the sensor installation error does not exceed 5 cm.
[0051] By adopting the above-mentioned vehicle ride comfort evaluation method, through reasonable setting of the sensor positions and reasonable setting of the comfort evaluation indexes, it is possible to characterize the ride comfort of the vehicle during driving under the whole vehicle driving state, and it can more accurately and effectively characterize the actual comfort of the occupants.
[0052] In some embodiments, the position of the tester's sole is the tester's foot or the part on the vehicle floor for the tester to place their foot. The ways of arranging sensors at the position of the tester's sole include, but are not limited to, installing the sensors on the vehicle floor or wearing them on the tester's foot; the position of the tester's seat cushion is the tester's buttocks or the seat cushion of the vehicle seat. The ways of arranging sensors at the position of the tester's seat cushion include, but are not limited to, installing the sensors on the seat cushion of the vehicle seat or wearing them on the tester's buttocks; the position of the tester's back is the tester's back or the backrest of the vehicle seat. The ways of arranging sensors at the position of the tester's back include, but are not limited to, installing the sensors on the backrest of the vehicle seat or wearing them on the tester's back; the position of the tester's chest is the tester's chest. The ways of arranging sensors at the position of the tester's chest include, but are not limited to, wearing the sensors on the tester's chest; the position of the tester's head is the tester's head or the headrest of the vehicle seat. The ways of arranging sensors at the position of the tester's head include, but are not limited to, installing the sensors on the headrest of the vehicle seat or wearing them on the tester's head. Reasonably setting the sensor positions is beneficial to more accurately and effectively characterizing the actual comfort of the occupant.
[0053] In some embodiments, the connection of the test equipment further includes the following steps: Connect the data acquisition host to the computer, and set the sampling frequency and signal acquisition mode in the data acquisition software of the computer. As a specific example, set the sampling frequency to 1000 Hz in the data acquisition software, and set the storage mode to "always fast". In specific implementation, the data acquisition software can be a data acquisition software built based on the LabVIEW software platform.
[0054] In some embodiments, the acquisition of test data further includes the following steps: Before the test starts, turn off the test vehicle and park it in a zero-slope area (an area with a slope < 2°), and collect the data of the acceleration sensor and the displacement sensor for n seconds, where n is a preset value. In specific implementation, n can be set to 60. During this period, it is required that the tester remains stationary and has no obvious movements to ensure that the randomness of the collected data is caused by the noise of the equipment itself.
[0055] In some embodiments, the acquisition of test data is specifically:
[0056] Before the test starts, turn off the test vehicle and park it in a zero-slope area (an area with a slope < 2°), and collect the data of the acceleration sensor and the displacement sensor for n seconds to obtain the pre-test data, where n is a preset value. In specific implementation, n can be set to 60;
[0057] After the test starts, the vehicle to be tested enters the corresponding test road according to the test requirements. After the rear wheels of the vehicle to be tested enter the test road by 3 meters, the test data of each acceleration sensor and each displacement sensor are collected and recorded. The same test is repeated three times. During this period, it is required that the tester has no subjective actions of his own to ensure the singularity of the collected data.
[0058] In some embodiments, the processing of the test data includes the following steps:
[0059] First, calculate the average value of the data before the test. Based on the average value of the data before the test, use the zero-position self-learning function to remove the zero-point drift of the test data, and obtain the corrected test data;
[0060] Then, use a band-pass filter with a suitable frequency band (such as 30 Hz) to remove the high-frequency noise in the corrected test data; In specific implementation, the suitable frequency band for band-pass filtering is 10 Hz - 50 Hz;
[0061] Then, use the Kalman filtering method to optimize the corrected test data to obtain the processed data. Adopting the above solution is beneficial to improving the accuracy of the processed data and is beneficial to improving the accuracy of evaluating the actual comfort of the occupants.
[0062] As Figure 2 shown, the present invention also proposes an automobile ride comfort evaluation system. The automobile ride comfort evaluation system can be used to execute the above-mentioned automobile ride comfort evaluation method. The automobile ride comfort evaluation system includes a first data acquisition module, a second data acquisition module, a plurality of acceleration sensors, a plurality of displacement sensors, a data acquisition host and a computer.
[0063] A plurality of acceleration sensors are all connected to the first data acquisition module through data acquisition lines, and a plurality of displacement sensors are all connected to the second data acquisition module through data acquisition lines. The first data acquisition module and the second data acquisition module are both connected to the data acquisition host through data transmission lines, and the data acquisition host is connected to the computer through a USB data line. In order to be convenient to carry, a laptop computer can be used for the computer.
[0064] A plurality of acceleration sensors are respectively used to be arranged at the positions of the tester's soles, the tester's seat cushion, the tester's back, the tester's chest and the tester's head;
[0065] A plurality of displacement sensors are respectively used to be arranged at the positions of the tester's soles, the tester's seat cushion, the tester's back, the tester's chest and the tester's head;
[0066] The first data acquisition module is used to collect the signals of multiple acceleration sensors and transmit the collected signals to the data acquisition host. The second data acquisition module is used to collect the signals of multiple displacement sensors and transmit the collected signals to the data acquisition host. The data acquisition host can store the received signals and transmit the signals to a computer for analysis.
[0067] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics of the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine the different embodiments or examples described in this specification.
Claims
1. An evaluation method for vehicle ride comfort, characterized in that, Including the following steps: Arranging sensors: Arranging acceleration sensors and displacement sensors at the position of the tester's sole, the position of the tester's seat cushion, the position of the tester's back, the position of the tester's chest, and the position of the tester's head; Connecting test equipment: Connecting each acceleration sensor to the first data acquisition module, connecting each displacement sensor to the second data acquisition module, and connecting the first data acquisition module and the second data acquisition module to the data acquisition host; Testing and collecting test data: The vehicle to be tested enters the corresponding test road according to the test requirements, and the test data of each acceleration sensor and each displacement sensor are collected; Processing test data: Performing denoising processing on the collected test data to obtain the processed data; Calculating comfort evaluation indexes: Based on the processed data, calculating the three-component displacement difference d1 and the three-component acceleration difference a1 between the position of the tester's sole and the position of the tester's seat cushion, calculating the three-component displacement difference d2 and the three-component acceleration difference a2 between the position of the tester's back and the position of the tester's chest based on the processed data, calculating the three-component displacement difference d3 and the three-component acceleration difference a3 between the position of the tester's back and the position of the tester's head based on the processed data, and calculating the three-component displacement difference d4 between the position of the tester's seat cushion and the position of the tester's back based on the processed data; using the fast Fourier transform to transform the data of the three-component displacement difference d1, the three-component displacement difference d2, the three-component displacement difference d3, the three-component displacement difference d4, the three-component acceleration difference a1, the three-component acceleration difference a2, and the three-component acceleration difference a3 into the frequency domain, and then filtering the data transformed into the frequency domain through the Savitzky-Golay filter to obtain the filtered data; Evaluating comfort: For the evaluation method of the same tester in different vehicles or different vehicle states: Using the filtered data of the three-component displacement difference d1, the three-component displacement difference d4, the three-component acceleration difference a1, the three-component acceleration difference a2, and the three-component acceleration difference a3 as the evaluation indexes of comfort jitter, using the data of the three-component displacement difference d2 as the evaluation index of comfort body part shaking, and using the data of the three-component displacement difference d3 as the evaluation index of comfort head shaking; For the evaluation method of different testers in different vehicles or different vehicle states: Using the filtered data of the three-component acceleration difference a1, the three-component acceleration difference a2, and the three-component acceleration difference a3 as the evaluation indexes of comfort jitter.
2. The method for evaluating the ride comfort of an automobile according to claim 1, wherein The position of the tester's sole is the tester's foot or the part on the vehicle floor for the tester to place the foot, the position of the tester's seat cushion is the tester's buttocks or the seat cushion of the vehicle seat, the position of the tester's back is the tester's back or the backrest of the vehicle seat, the position of the tester's chest is the tester's chest, and the position of the tester's head is the tester's head or the headrest of the vehicle seat.
3. The method for evaluating the ride comfort of an automobile according to claim 1, characterized in that, The connection of the test equipment further includes the following steps: Connecting the data acquisition host to the computer, and setting the sampling frequency and the signal acquisition mode in the computer.
4. The method for evaluating the ride comfort of an automobile according to claim 1, wherein, The collection of test data further includes the following steps: Before the test starts, turn off the test vehicle and park it in a zero-gradient area, and collect the data of the acceleration sensor and the displacement sensor for n seconds, where n is a preset value.
5. The method for evaluating the ride comfort of an automobile according to claim 4, characterized in that, The collection of the test data is specifically as follows: Before the test starts, turn off the test vehicle and park it in a zero-gradient area, and collect the data of the acceleration sensor and the displacement sensor for n seconds to obtain the pre-test data, where n is a preset value; Wait for the test vehicle to enter the corresponding test road according to the test requirements. After the rear wheels of the test vehicle enter the test road by 3 meters, start collecting the test data of each acceleration sensor and each displacement sensor.
6. The vehicle ride comfort evaluation method according to claim 4, wherein, The processing of the test data includes the following steps: First, calculate the average value of the pre-test data. Based on the average value of the pre-test data, use the zero-position self-learning function to remove the zero drift of the test data and obtain the corrected test data; Then, use a band-pass filter with a suitable frequency band to remove the high-frequency noise in the corrected test data; Then, use the Kalman filtering method to optimize the corrected test data to obtain the processed data.
7. An automobile ride comfort evaluation system, characterized in that, The vehicle ride comfort evaluation system is used to execute the vehicle ride comfort evaluation method according to any one of claims 1-6. The vehicle ride comfort evaluation system includes a first data collection module, a second data collection module, a plurality of acceleration sensors, and a plurality of displacement sensors. A plurality of acceleration sensors are all connected to the first data collection module, and a plurality of displacement sensors are all connected to the second data collection module; A plurality of acceleration sensors are respectively used to be arranged at the sole position of the tester, the seat cushion position of the tester, the back position of the tester, the chest position of the tester, and the head position of the tester; A plurality of displacement sensors are respectively used to be arranged at the sole position of the tester, the seat cushion position of the tester, the back position of the tester, the chest position of the tester, and the head position of the tester.
Citation Information
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