Method, device and equipment for cooperatively determining parameters of suspension instrument and steering column and medium

Abstract

The embodiment of the invention discloses a suspension instrument and steering column parameter collaborative determination method and device, equipment and a medium, and the method comprises the steps: obtaining a vehicle driving environment model of a first vehicle type, and determining a man-machine model corresponding to at least one driver according to the vehicle driving environment model and based on a preset crowd; determining a first instrument view analysis result and a first driving comfort analysis result corresponding to different parameter combinations of the suspension instrument and the steering column based on the man-machine model; determining at least one candidate parameter combination in different parameter combinations according to the first instrument view analysis result and the first driving comfort analysis result, and obtaining a second instrument view analysis result and a second driving comfort analysis result of man-machine simulation driving corresponding to the at least one candidate parameter combination; and determining target design parameters according to the second instrument view analysis result and the second driving comfort analysis result. According to the technical scheme, the accuracy of the design result can be effectively guaranteed.

Description

Technical Field

[0001] The embodiments of the present invention relate to the technical field of vehicle body overall layout design, and in particular to a method, device, equipment and medium for collaboratively determining parameters of a data management suspension instrument and a steering column. Background Art

[0002] Currently, commercial vehicles both domestically and internationally are developing smart cockpits that are lightweight, technologically advanced, and comfortable, incorporating features such as floating instrument panels, large floating screens, concealed air vents, and steeply tilted steering columns. In the past, limited cab structure and layout made it difficult to achieve the steeply tilted steering columns found in passenger cars. This forced commercial vehicle drivers to maintain a relatively upright sitting position, leading to fatigue during long drives. The layout design of commercial vehicle cabs needs improvement. Summary of the Invention

[0003] The embodiments of the present invention provide a method, device, equipment and medium for collaboratively determining parameters of a suspension instrument and a steering column, which can effectively ensure the accuracy of design results and shorten the product development cycle.

[0004] In a first aspect, an embodiment of the present invention provides a method for collaboratively determining parameters of a suspension instrument and a steering column, the method comprising:

[0005] Obtaining a vehicle driving environment model for the first vehicle model and generating a human-machine model corresponding to at least one driver determined based on the vehicle driving environment model and a preset population; wherein the vehicle driving environment model includes at least reference design parameters corresponding to a suspension instrument and a steering column;

[0006] Determining, based on the human-machine model, a first instrument field of view analysis result and a first driving comfort analysis result corresponding to different parameter combinations of the suspension instrument and the steering column; wherein the parameter combinations are determined based on reference design parameters;

[0007] determining at least one candidate parameter combination from different parameter combinations based on the first instrument field of view analysis result and the first driving comfort analysis result, and obtaining a second instrument field of view analysis result and a second driving comfort analysis result of the human-machine simulated driving corresponding to the at least one candidate parameter combination;

[0008] The target design parameters are determined based on the second instrument field of view analysis results and the second driving comfort analysis results.

[0009] A second embodiment of the present invention provides a device for collaboratively determining parameters of a suspension instrument and a steering column, the device comprising:

[0010] a model determination module, configured to obtain a vehicle driving environment model of the first vehicle model and generate a human-machine model corresponding to at least one driver determined based on the vehicle driving environment model and a preset population; wherein the vehicle driving environment model includes at least reference design parameters corresponding to a suspension instrument panel and a steering column;

[0011] a model-based simulation data determination module for determining, based on the human-machine model, a first instrument field of view analysis result and a first driving comfort analysis result corresponding to different parameter combinations of the suspension instrument and the steering column; wherein the parameter combinations are determined based on reference design parameters;

[0012] a human-machine driving simulation data determination module, configured to determine at least one candidate parameter combination from different parameter combinations based on the first instrument field of view analysis result and the first driving comfort analysis result, and obtain a second instrument field of view analysis result and a second driving comfort analysis result of the human-machine simulated driving corresponding to the at least one candidate parameter combination;

[0013] The design parameter determination module is used to determine target design parameters according to the second instrument field of view analysis result and the second driving comfort analysis result.

[0014] In a third aspect, an embodiment of the present invention further provides a computer device, comprising:

[0015] one or more processors;

[0016] a memory for storing one or more programs;

[0017] When the one or more programs are executed by one or more processors, the one or more processors implement the method for collaboratively determining parameters of a suspension instrument and a steering column as provided in any embodiment of the present invention.

[0018] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method for collaboratively determining parameters of a suspension instrument and a steering column as provided in any embodiment of the present invention.

[0019] In a fifth aspect, an embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the method for collaboratively determining the parameters of the suspension instrument and steering column as provided in any embodiment of the present invention.

[0020] The embodiments of the above invention have the following advantages or beneficial effects:

[0021] In the embodiment of the present application, a vehicle driving environment model of a first vehicle model is acquired, and a man-machine model corresponding to at least one driver is determined based on the vehicle driving environment model and a preset crowd; wherein the vehicle driving environment model at least includes reference design parameters corresponding to a floating instrument and a steering column; the first instrument visual field analysis result and the first driving comfort analysis result corresponding to different parameter combinations of the floating instrument and the steering column are determined based on the man-machine model; wherein the parameter combinations are determined based on the reference design parameters; at least one candidate parameter combination is determined in the different parameter combinations according to the first instrument visual field analysis result and the first driving comfort analysis result, and the second instrument visual field analysis result and the second driving comfort analysis result of the man-machine simulation driving corresponding to the at least one candidate parameter combination are acquired; and the target design parameters are determined according to the second instrument visual field analysis result and the second driving comfort analysis result. The technical scheme of the embodiment of the present application solves the problem of the limitation of multiple vehicle layout designs, can cooperatively determine the parameters of the floating instrument and the steering column, effectively guarantees the accuracy of the design result, and shortens the product development cycle. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 is a flowchart of a floating instrument and steering column parameter cooperative determination method provided by the embodiment of the present application;

[0023] Figure 2 is a flowchart of another floating instrument and steering column parameter cooperative determination method provided by the embodiment of the present application;

[0024] Figure 3A is a flowchart of a floating instrument and steering column parameter cooperative determination method example provided by the embodiment of the present application;

[0025] Figure 3B is a data model schematic diagram of an instrument and a large-angle steering column provided by the embodiment of the present application;

[0026] Figure 3C is a human body model and driving posture schematic diagram suitable for a light truck provided by the embodiment of the present application;

[0027] Figure 4 is a structural schematic diagram of a floating instrument and steering column parameter cooperative determination device provided by the embodiment of the present application;

[0028] Figure 5 is a structural schematic diagram of a computer device provided by the embodiment of the present application. DETAILED DESCRIPTION

[0029] The present invention will be further described in detail below with reference to the accompanying drawings and examples. It will be understood that the specific embodiments described herein are intended only to illustrate the present invention and are not intended to limit the present invention. It should also be noted that, for ease of description, the accompanying drawings only illustrate portions relevant to the present invention, not all structures.

[0030] Figure 1 This is a flowchart of a method for collaboratively determining suspension instrument and steering column parameters, provided in an embodiment of the present invention. This embodiment is applicable to parameter setting scenarios in vehicle design. This method can be performed by a device for collaboratively determining suspension instrument and steering column parameters, which can be implemented using software and / or hardware and integrated into a computer device with application development capabilities.

[0031] like Figure 1 As shown, the method for collaboratively determining the parameters of the suspension instrument and the steering column of this embodiment includes the following steps:

[0032] S110: Acquire a vehicle driving environment model of a first vehicle model, and generate a human-machine model corresponding to at least one driver determined based on the vehicle driving environment model and a preset population.

[0033] The first vehicle model can be a commercial vehicle or a passenger vehicle. Commercial vehicles or passenger vehicles can also be further divided into different commercial vehicle models or different passenger vehicle models. The vehicle driving environment model of the first vehicle model can include the setting parameters of each functional module of the vehicle cabin, such as cockpit dimensions (length / width / height), seat position (fore / aft / height adjustment range), and three-dimensional coordinates of the steering wheel / pedals in the cockpit layout; as well as information such as the position and operating force of the instrument panel, central control screen, and buttons / knobs in the hardware interface dimension; it can also include environmental comfort parameters such as temperature control (air outlet location / air volume distribution, such as the front air conditioning outlet temperature difference ≤ 2°C), noise level (cabin noise ≤ 70dB at 120km / h), and light intensity (instrument panel reflectivity ≤ 5%).

[0034] In this embodiment, the vehicle driving environment model includes at least those parameters that require collaborative design analysis in the current vehicle parameter design, such as the reference design parameters for the hover instrument panel and steering column. The collaborative design of the hover height and steering column inclination is essentially a "sight path engineering" project, requiring the eye ellipse as a benchmark to find a balance between styling aesthetics and functional safety. Ensure that the core instrument information (vehicle speed, warning lights) is within the driver's natural visual cone, and that the steering wheel occlusion rate is ≤5%.

[0035] The reference design parameters can be configurable ranges of the suspension height of the floating instrument and the inclination angle of the steering column corresponding to the suspension instrument and the steering column, respectively. For example, five instrument suspension heights are set in the adjustable range, 0 / 25 / 50 / 75 / 100 mm; and the steering column adjustment range can reach 30°-42° under the premise of meeting the man-machine safety space.

[0036] The preset crowd can be a target crowd of the first vehicle type, such as a crowd of different genders or different age groups, or a crowd in different regions, or a crowd suitable for different vehicle usage scenarios. Different people of different heights sitting in the driving position have different visual ranges, and a driving personnel model of different heights can be constructed according to height data in the preset crowd. For example, the process of determining the man-machine model corresponding to at least one driving personnel can be grouping according to gender in the preset crowd to obtain a crowd grouping; then according to the height value of each crowd grouping according to the height value of the percentile, taking at least one preset height percentile corresponding to the height value as the corresponding man-machine model parameter to determine the corresponding man-machine model.

[0037] The specific modeling process can be realized by a passenger simulation tool. When a vehicle designer designs a vehicle, the vehicle driving environment data and the height and posture data of the driver and passenger can be input first, and the suspension instrument and steering column parameter coordination determination device can input the obtained data into the corresponding simulation tool to obtain the corresponding man-machine model.

[0038] S120, based on the man-machine model, determine the first instrument visual field analysis result and the first driving comfort analysis result corresponding to different parameter combinations of the suspension instrument and the steering column; wherein the parameter combination is determined based on the reference design parameter.

[0039] The reference design parameters can be configurable ranges of the suspension height of the floating instrument and the inclination angle of the steering column corresponding to the suspension instrument and the steering column, respectively. For example, five instrument suspension heights are set in the adjustable range, 0 / 25 / 50 / 75 / 100 mm; and the steering column adjustment range can reach 30°-42° under the premise of meeting the man-machine safety space. The parameter combination is determined based on the configurable range of the suspension height of the floating instrument and the inclination angle of the steering column, and a plurality of different parameter combinations can be obtained by permutation and combination of the values in the configurable range.

[0040] Based on the simulation of the man-machine model, the first instrument visual field analysis result and the first driving comfort analysis result corresponding to each parameter combination can be obtained. The first instrument visual field analysis result can include the visual range, the occlusion situation in the visual range, and other information. The first driving comfort analysis result includes arm and leg comfort analysis, and can also include comfort analysis in other dimensions.

[0041] S130, determining at least one candidate parameter combination from different parameter combinations according to the first instrument field of view analysis result and the first driving comfort analysis result, and obtaining a second instrument field of view analysis result and a second driving comfort analysis result of human-machine simulated driving corresponding to the at least one candidate parameter combination.

[0042] The at least one candidate parameter combination can be determined from different parameter combinations according to the first instrument field of view analysis result, so that parameter combinations with blocked field of view or small field of view range that do not meet the preset standard can be filtered out, and then at least one parameter combination with high comfort evaluation can be selected as the selected parameter combination from the parameter combinations that are not filtered out according to the first driving comfort analysis result.

[0043] The second instrument field of view analysis result and the second driving comfort analysis result of human-machine simulated driving corresponding to the at least one candidate parameter combination are obtained by adjusting the instrument suspension mechanism and the steering column adjustment mechanism on the light commercial vehicle human-machine physical bench according to the candidate parameter combination information, and constructing the human-machine simulated driving condition corresponding to the candidate parameter.

[0044] The height and posture of the test personnel are matched with the human-machine model in the above steps.

[0045] S140, determining the target design parameter according to the second instrument field of view analysis result and the second driving comfort analysis result.

[0046] The second instrument field of view analysis result and the second driving comfort of the test personnel matched with each human-machine model in the human-machine simulated driving environment corresponding to different candidate parameter combinations can be analyzed and calculated to obtain the average value or weighted calculation result of the analysis result. The candidate parameter corresponding to the highest value in the average value or weighted calculation result is taken as the target design parameter.

[0047] The technical solution of this embodiment is to obtain a vehicle driving environment model of a first vehicle model and, based on the vehicle driving environment model and a human-machine model corresponding to at least one driver determined based on a preset population, determine first instrument field of view analysis results and first driving comfort analysis results corresponding to different parameter combinations of the suspension instrument and the steering column based on the human-machine model, wherein the parameter combination is determined based on the reference design parameters; determine at least one candidate parameter combination from the different parameter combinations based on the first instrument field of view analysis results and the first driving comfort analysis results, obtain second instrument field of view analysis results and second driving comfort analysis results for human-machine simulated driving corresponding to the at least one candidate parameter combination; and determine target design parameters based on the second instrument field of view analysis results and the second driving comfort analysis results. The technical solution of the embodiment of the present invention solves the problem of limitations in multiple vehicle layout designs, can collaboratively determine the parameters of the suspension instrument and the steering column, effectively ensure the accuracy of the design results, and shorten the product development cycle.

[0048] Figure 2 This is a flowchart of a method for collaboratively determining parameters of a suspension instrument and steering column, provided in an embodiment of the present invention. This embodiment, along with the method for collaboratively determining parameters of a data management suspension instrument and steering column in the aforementioned embodiment, shares the same inventive concept and further describes the process of determining reference design parameters. This method can be executed by a device for collaboratively determining parameters of a suspension instrument and steering column, which can be implemented using software and / or hardware and integrated into a computer device with application development capabilities.

[0049] like Figure 2 As shown, the method for collaboratively determining the parameters of the suspension instrument and the steering column of this embodiment includes the following steps:

[0050] S210: Obtain a preset angle range corresponding to a steering column inclination angle of a steering column.

[0051] The preset angle range can be determined based on experience, conventional design parameter ranges, or can be determined based on product requirements. For example, an adjustment range of 30°-42°, or other larger or smaller angle ranges, can be achieved while ensuring human-machine safety space.

[0052] S220 , inputting the angle value within the preset angle range into a preset two-variable correlation formula corresponding to the suspension height of the suspension instrument and the steering column inclination angle, to obtain the suspension height value of the suspension instrument output by the preset two-variable correlation formula.

[0053] Among them, the preset two-variable correlation formula is a mathematical model constructed based on the historical perspective collaborative design data of the suspension instrument and steering column.

[0054] The preset bivariate correlation formula can be expressed as: h = [K*sin a + m*(L1-L2)]*n.

[0055] Wherein, h is the suspension height of the suspended instrument. K is the width of the spoke on the steering wheel for observing the instrument, the effective light transmission width of the spoke on the steering wheel (top crossbeam) for the driver to observe the instrument (unit: mm); the larger K is, the larger the potential shielding area of the steering wheel to the instrument is, and the height needs to be adjusted by sin a to compensate the line-of-sight passage. a is the tilt angle of the steering column, the angle between the steering column axis and the vertical plane (positive for forward inclination), which directly determines the spatial posture of the steering wheel; sin a converts the angle into a height compensation coefficient, when the tilt angle increases (such as the steering wheel is inclined backward), sin a decreases, and the suspension height h needs to be reduced to avoid the instrument being too high. m is the visibility coefficient of the instrument, which represents the visibility weight of the instrument display area to the driver, which is usually determined by the instrument size (such as 12.3-inch screen m = 1.2, 7-inch screen m = 1.0); display content priority (vehicle speed / warning light area m is higher); reflectivity / luminance and other optical parameters (high-reflective screen needs to increase m to improve visibility); and the like. L1 is the distance from the driver's eye point to the center of the suspended instrument, which is based on the eye ellipse model, and the straight-line distance from the 50th percentile driver's eye point to the geometric center of the instrument is taken; the larger L1 is (such as the instrument is far away from the driver), the higher the suspension height h needs to be increased to avoid the line-of-sight depression angle being too large; the difference between L1 and L2 can reflect the relative longitudinal depth of the instrument and the steering wheel, and the positive difference indicates that the instrument is more rearward. L2 is the distance from the driver's eye point to the center of the steering wheel, which measures the relative position of the steering wheel and the driver, and affects the hand operation comfort and the risk of visual obstruction: if L2 < L1 (the steering wheel is more forward), h needs to be increased by m*(L1-L2) to avoid the upper edge of the steering wheel shielding the instrument. n is a driving comfort compensation coefficient, and the adjustment range is usually 0.9-1.1, which is dimensionless, and needs to consider the seat adjustment range (adjustable seat n takes the upper limit, fixed seat takes the lower limit), the difference in the size of the driver (the 95th percentile male n = 1.05, the 5th percentile female n = 0.95), and the driving mode (n = 0.9 for sports mode to reduce the height and improve the sense of combat; n = 1.1 for comfort mode to increase the height and reduce the neck pressure).

[0056] S230, taking the suspension height range corresponding to the preset angle range and the suspension height value as the reference design parameter.

[0057] S240, obtaining a vehicle driving environment model of the first vehicle type, and obtaining a man-machine model corresponding to at least one driver based on the vehicle driving environment model and the preset crowd; wherein the vehicle driving environment model at least includes the reference design parameters corresponding to the suspended instrument and the steering column.

[0058] S250, determining the first instrument field of view analysis result and the first driving comfort analysis result corresponding to different parameter combinations of the floating instrument and the steering column based on the man-machine model; wherein the parameter combinations are determined based on the reference design parameters.

[0059] S260, determining at least one candidate parameter combination from the different parameter combinations according to the first instrument field of view analysis result and the first driving comfort analysis result, and obtaining the second instrument field of view analysis result and the second driving comfort analysis result of the man-machine simulation driving corresponding to the at least one candidate parameter combination.

[0060] S270, determining the target design parameters according to the second instrument field of view analysis result and the second driving comfort analysis result.

[0061] Further, the parameters in the preset bivariate correlation formula can be calibrated according to the target design parameters, and the preset bivariate correlation formula is optimized.

[0062] The technical scheme of the embodiment, by obtaining the preset angle range corresponding to the steering column inclination angle of the steering column; inputting the angle value in the preset angle range into the preset bivariate correlation formula corresponding to the floating height of the floating instrument and the steering column inclination angle, to obtain the floating height value of the floating instrument output by the preset bivariate correlation formula; taking the floating height range corresponding to the preset angle range and the floating height value as the reference design parameters; obtaining the vehicle driving environment model of the first vehicle type, and according to the vehicle driving environment model and the man-machine model corresponding to at least one driver determined based on the preset population; wherein the vehicle driving environment model at least includes the reference design parameters corresponding to the floating instrument and the steering column; determining the first instrument field of view analysis result and the first driving comfort analysis result corresponding to different parameter combinations of the floating instrument and the steering column based on the man-machine model; wherein the parameter combinations are determined based on the reference design parameters; determining at least one candidate parameter combination from the different parameter combinations according to the first instrument field of view analysis result and the first driving comfort analysis result, and obtaining the second instrument field of view analysis result and the second driving comfort analysis result of the man-machine simulation driving corresponding to the at least one candidate parameter combination; determining the target design parameters according to the second instrument field of view analysis result and the second driving comfort analysis result. The technical scheme of the embodiment of the application solves the problem of the limitation of multiple vehicle layout designs, can cooperatively determine the parameters of the floating instrument and the steering column, effectively guarantees the accuracy of the design result, and shortens the product development cycle.

[0063] Figure 3AThis flowchart provides a method for collaboratively determining suspension instrument and steering column parameters, provided in an embodiment of the present invention. This embodiment, while sharing the same inventive concept as the method described above, further describes the process of collaboratively determining suspension instrument and steering column parameters for a light commercial vehicle, where the first vehicle type is a light commercial vehicle. This method can be performed by a device for collaboratively determining suspension instrument and steering column parameters, which can be implemented using software and / or hardware and integrated into a computer device with application development capabilities.

[0064] like Figure 3A As shown, the method for collaboratively determining the parameters of the suspension instrument and the steering column of this embodiment includes the following steps:

[0065] At the start of the project, the layout parameters of the light commercial vehicle were designed based on the product development goals.

[0066] Step 1: Create an environmental data model related to the instrument field of view and steering column operation comfort of a light commercial vehicle in a driving environment and personnel simulation environment.

[0067] 1.1. Based on the product development goals, create a basic data model in the simulation tool environment, mainly including the vehicle body coordinate system, cab windshield and black belt line, instrument position, steering wheel and steering column, and seat R point.

[0068] Step 2: Create 95% male, 50% male, and 5% female human-machine models in the simulation tool environment. That is, the model corresponding to the 95th percentile height value of males, the model corresponding to the 50th percentile height value of males, and the model corresponding to the 5th percentile height value of females.

[0069] 2.1 In the simulation tool environment, customize three human models that best fit the target users of the product being developed, including gender, nationality, age, era, body shape, and percentile.

[0070] Step 3: Set the instrument suspension height range and steering column adjustment range (corresponding to the reference design parameters).

[0071] 3.1. Set the instrument suspension height range (the highest point of the instrument is 0-100mm above the reference surface). Based on the interior styling of the vehicle model, five instrument suspension heights can be set within the adjustable range: 0 / 25 / 50 / 75 / 100mm.

[0072] 3.2、Set the steering column adjustment range. Under the premise of meeting the human-machine safety space, the adjustment range can reach 30°-42°. For example, the adjustment range in the human-machine model can refer to Figure 3B The schematic diagram shown.

[0073] Step 4, simulate the driving and riding postures of 95% male, 50% male and 5% female personnel respectively based on the data model in the simulation tool environment, and perform instrument vision field checking and driving comfort evaluation. The riding posture schematic diagram can be referred to Figure 3C the posture schematic diagram shown.

[0074] 4.1, perform man-machine checking based on the environment data model created in step 1, simulate the driving postures of the three heights of driving personnel created in step 2 respectively, and record the discomfort scores of each human body.

[0075] 4.2, the man-machine evaluation needs to meet the corresponding regulatory requirements and product competitiveness requirements according to the different positioning of product development. According to the checking results, it is judged whether the above set parameters meet the development requirements of the product. If the checking meets the requirements, step 5 is continued. If it does not meet the requirements, step 3 is returned, and the setting of the instrument suspension height and the steering column angle parameter is modified. The product development requirement of each human body is that the discomfort is less than 3.0, and the product development goal can be achieved in the man-machine simulation evaluation link.

[0076] Step 5, a bivariate correlation formula of instrument suspension height h and steering column adjustment angle a is established through a preset data analysis tool:

[0077] h = [K * sin a + m * (L1-L2)] * n.

[0078] Wherein h is the instrument suspension height (the Z-direction distance between the highest point of the instrument and the surface of the instrument panel / mm), K is the width of the steering wheel spoke that can be used to observe the instrument (mm), a is the steering column inclination angle (°), m is the instrument visibility coefficient (0.9-1.1), L1 is the distance from the driver's eye point to the center of the suspended instrument (mm), L2 is the distance from the driver's eye point to the center of the steering wheel (mm), and n is the driving comfort compensation coefficient (0.08-0.17). In this example, by analyzing and comparing the discomfort evaluation results of step 4, the instrument suspension height that meets the discomfort value of 2.5-3.5 of all human bodies is 25-50 mm, that is, h = 25-50, and the steering column adjustment angle range is 32°-42°, that is, a = 32-42°. The above parameters are used as the design recommended parameters for subsequent verification on the man-machine physical bench.

[0079] Step 6, a man-machine evaluation team is formed based on the user characteristics of light commercial vehicles. The vehicle evaluation team has a total of 12 personnel, 7 males and 5 females, among which the male evaluation personnel correspond to 95% male and 50% male human bodies, and the female evaluation personnel correspond to 5% female human bodies.

[0080] 6.1, the male evaluation personnel correspond to 95% male and 50% male human bodies, 95% male accounts for 14%, and 50% male accounts for 75%.

[0081] 6.2. Female evaluators correspond to 5% of female bodies, accounting for 11%.

[0082] In step 7, the parameters set in step 5 are achieved by adjusting the instrument suspension mechanism and steering column adjustment mechanism on the light commercial vehicle human-machine physical test bench. The evaluation team in step 6 will complete the physical evaluation by simulating the actual vehicle usage environment on the human-machine physical test bench, and record and analyze the results.

[0083] 7.1. The subjective evaluation criteria for human-machine interaction are as follows:

[0084]

[0085] 7.2. The contents of human-machine verification are as follows:

[0086]

[0087] 7.3. Conduct an ergonomic evaluation using the scoring methods described in 7.1 and 7.2, and calculate the average team score for each solution. Compare this score to the product development goal. If the development goal is achieved, lock the instrument panel suspension height and steering column angle. If the development goal is not achieved, return to step 3 and revise the key parameter settings. This example product passed the evaluation and scoring at this stage, and the total team scores for the two preferred solutions were 7.6505 and 7.5075, respectively. Both solutions meet the product development ergonomic subjective evaluation requirement (requirement > 7.5).

[0088] Scoring for the 25mm suspended instrument height solution:

[0089]

[0090] Scoring for the 50mm suspended instrument height scheme:

[0091]

[0092] Calculate the average rating of the evaluation team for existing products and, based on the newly designed product development goals, set the target ergonomic performance score for the new product. Based on the different development requirements of each product, conduct a comparative evaluation of major competing vehicles to set more precise development goals.

[0093] In step 8, by comparing the scores of the two preferred solutions from step 7, the 25mm instrument suspension height solution was selected. The steering column tilt angle can be adjusted to a maximum of 42°, a 6° increase compared to the current production solution, achieving a breakthrough in operator comfort. The parameters of the formula applied in step 5 were also calibrated, optimizing the comfort supplement coefficient n to a range of 0.08-0.086.

[0094] The technical scheme of the embodiment can efficiently and accurately achieve the design and verification result of the floating instrument and large-inclination steering column that meet the use requirements of light truck users, effectively avoid the risk of not meeting the product development target in the later real vehicle verification stage, and significantly improve the efficiency of product development and user satisfaction.

[0095] Figure 4 A structural schematic diagram of a floating instrument and steering column parameter collaborative determination device provided by the embodiment of the present application, the embodiment of which can be applied to the scene of parameter setting in vehicle design. The floating instrument and steering column parameter collaborative determination device can be realized by software and / or hardware, and integrated in a computer terminal device with application development function.

[0096] As shown in Figure 4 , the floating instrument and steering column parameter collaborative determination device comprises a model determination module 410, a model-based simulation data determination module 420, a human-machine driving simulation data determination module 430, and a design parameter determination module 440.

[0097] The model determination module 410 is configured to obtain a vehicle driving environment model of a first vehicle model, and determine a human-machine model corresponding to at least one driver based on the vehicle driving environment model and the preset crowd; wherein the vehicle driving environment model at least comprises reference design parameters corresponding to the floating instrument and the steering column; the model-based simulation data determination module 420 is configured to determine first instrument field of view analysis results and first driving comfort analysis results corresponding to different parameter combinations of the floating instrument and the steering column based on the human-machine model; wherein the parameter combinations are determined based on the reference design parameters; the human-machine driving simulation data determination module 430 is configured to determine at least one candidate parameter combination from the different parameter combinations according to the first instrument field of view analysis results and the first driving comfort analysis results, and obtain second instrument field of view analysis results and second driving comfort analysis results of human-machine simulation driving corresponding to the at least one candidate parameter combination; and the design parameter determination module 440 is configured to determine target design parameters according to the second instrument field of view analysis results and the second driving comfort analysis results.

[0098] The technical solution of this embodiment is to obtain a vehicle driving environment model of a first vehicle model and, based on the vehicle driving environment model and a human-machine model corresponding to at least one driver determined based on a preset population, determine first instrument field of view analysis results and first driving comfort analysis results corresponding to different parameter combinations of the suspension instrument and the steering column based on the human-machine model, wherein the parameter combination is determined based on the reference design parameters; determine at least one candidate parameter combination from the different parameter combinations based on the first instrument field of view analysis results and the first driving comfort analysis results, obtain second instrument field of view analysis results and second driving comfort analysis results for human-machine simulated driving corresponding to the at least one candidate parameter combination; and determine target design parameters based on the second instrument field of view analysis results and the second driving comfort analysis results. The technical solution of the embodiment of the present invention solves the problem of limitations in multiple vehicle layout designs, can collaboratively determine the parameters of the suspension instrument and the steering column, effectively ensure the accuracy of the design results, and shorten the product development cycle.

[0099] In an optional implementation, the model determination module 410 is specifically configured to:

[0100] Obtaining a preset angle range corresponding to a steering column inclination angle of a steering column;

[0101] Inputting an angle value within a preset angle range into a preset two-variable correlation formula corresponding to the suspension height of the suspension instrument and the steering column tilt angle to obtain a suspension height value output by the preset two-variable correlation formula; wherein the preset two-variable correlation formula is a mathematical model constructed based on historical field-of-view collaborative design data of the suspension instrument and the steering column;

[0102] The preset angle range and the hovering height range corresponding to the hovering height value are used as reference design parameters.

[0103] In an optional embodiment, the preset two-variable association formula is: h=[K*sinα+m*(L1-L2)]*n;

[0104] Where h is the suspension height of the suspended instrument; K is the width of the steering wheel spoke for observing the instrument, α is the steering column inclination angle, m is the instrument visibility coefficient, L1 is the distance from the driver's eye point to the center of the suspended instrument, L2 is the distance from the driver's eye point to the center of the steering wheel, and n is the driving comfort compensation coefficient.

[0105] In an optional embodiment, the human-machine simulated driving includes a simulated driving process of a group matched with each human-machine model;

[0106] Accordingly, the design parameter determination module 440 is specifically configured to:

[0107] Calculate the average score of the second instrument visual field analysis results and the second driving comfort analysis results corresponding to the group based on the evaluation result weight of each object in the group and the object data in the group;

[0108] The candidate parameter combination corresponding to the highest score in the average scores is determined as the target design parameters.

[0109] In an optional embodiment, the apparatus for collaboratively determining parameters of the suspension instrument and the steering column further includes a parameter optimization module for:

[0110] The parameters in the preset two-variable correlation formula are calibrated according to the target design parameters.

[0111] In an optional implementation, the model determination module 410 may also be configured to:

[0112] Group the preset population by gender to obtain population groups;

[0113] According to the percentile of the height value in each population group, the height value corresponding to at least one preset height percentile is taken as the corresponding human-machine model parameter to determine the corresponding human-machine model.

[0114] In an optional embodiment, the first vehicle type includes a light commercial vehicle.

[0115] The apparatus for collaboratively determining parameters of a suspension instrument and a steering column provided by an embodiment of the present invention can execute the method for collaboratively determining parameters of a suspension instrument and a steering column provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0116] Figure 5 A schematic structural diagram of a computer device provided in an embodiment of the present invention. Figure 5 A block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention is shown. Figure 5 The computer device 12 shown is only an example and should not limit the functionality and scope of use of the embodiments of the present invention. The computer device 12 can be any terminal device with computing capabilities, such as an intelligent controller, a server, a mobile phone, or other terminal devices.

[0117] like Figure 5 As shown, computer device 12 is implemented as a general-purpose computing device. Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16, system memory 28, and a bus 18 that connects various system components (including system memory 28 and processing unit 16).

[0118] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0119] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0120] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 5 Not shown, often called a "hard drive"). Although Figure 5 Not shown, a magnetic disk drive for reading and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of the present invention.

[0121] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0122] Computer device 12 can also communicate with one or more external devices 14 such as a keyboard, a pointing device, a display 24, etc.; one or more devices that enable a user to interact with computer device 12; and / or any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication can occur via Input / Output (I / O) interface(s) 22. Still yet, computer device 12 can communicate with one or more networks, such as a local area network (LAN), a general wide area network (WAN), and / or a public network such as the Internet, via network adapter 20. As depicted, network adapter 20 communicates with the other components of computer device 12 via bus 18. It should be appreciated that although not shown, other hardware and / or software modules could be used in conjunction with computer device 12. Examples, include, but are not limited to, microcode, device drivers, redundant processing units, external disk drive arrays, Artificial Intelligence (AI) systems, tape drives, and data archival storage systems, etc. Figure 5

[0123] Processing unit 16 performs various function applications and data processing by running programs stored in system memory 28, such as implementing the method for determining parameters of a floating instrument and a steering column in cooperation provided by the embodiments of the present application, which includes:

[0124] obtaining a vehicle driving environment model of a first vehicle model, and determining a man-machine model corresponding to at least one driver based on the vehicle driving environment model and a preset crowd;

[0125] determining first instrument visual field analysis results and first driving comfort analysis results corresponding to different parameter combinations of the floating instrument and the steering column based on the man-machine model, wherein the parameter combinations are determined based on the reference design parameters;

[0126] determining at least one candidate parameter combination from the different parameter combinations according to the first instrument visual field analysis results and the first driving comfort analysis results, and obtaining second instrument visual field analysis results and second driving comfort analysis results of a man-machine simulated driving corresponding to the at least one candidate parameter combination;

[0127] determining target design parameters according to the second instrument visual field analysis results and the second driving comfort analysis results.

[0128] The embodiments of the present application also provide a computer readable storage medium, which has a computer program stored thereon, and the program is executed by a processor to implement the method for determining parameters of a floating instrument and a steering column in cooperation provided by any of the embodiments of the present application, which includes:

[0129] ​Obtain a vehicle driving environment model of the first vehicle model, and obtain a man-machine model corresponding to at least one driver based on the vehicle driving environment model and the preset crowd;

[0130] Determine the first instrument field of view analysis result and the first driving comfort analysis result corresponding to different parameter combinations of the floating instrument and the steering column based on the man-machine model; wherein the parameter combination is determined based on the reference design parameter;

[0131] Determine at least one candidate parameter combination in the different parameter combinations according to the first instrument field of view analysis result and the first driving comfort analysis result, and obtain the second instrument field of view analysis result and the second driving comfort analysis result of the man-machine simulation driving corresponding to the at least one candidate parameter combination;

[0132] Determine the target design parameter according to the second instrument field of view analysis result and the second driving comfort analysis result.

[0133] The computer storage medium of the embodiment of the application can adopt any combination of one or more computer readable media. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or component, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: electrical connections with one or more conductors, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this document, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device or component.

[0134] The computer readable signal medium can include a data signal propagating in a baseband or as a carrier wave in a propagated data signal, which carries the computer readable program code. Such a propagated data signal can take many forms, including but not limited to electro-magnetic, optical or any suitable combination thereof. The computer readable signal medium can also be any computer readable medium that can send, propagate or transmit the program for use by or in connection with an instruction execution system, device or component.

[0135] Program code embodied on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0136] The computer program code for performing the operations of the present invention can be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, Python, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0137] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the method for collaboratively determining parameters of a suspension instrument and a steering column as provided in any embodiment of the present application.

[0138] The computer program product, during implementation, may be written in one or more programming languages, or a combination thereof, for performing the operations of the present invention. The programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, Python, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0139] Those skilled in the art should understand that each module or step of the present application described above can be realized by a general computing device, which can be centralized on a single computing device or distributed on a network composed of multiple computing devices, and can be realized by computer device executable program code, which can be stored in a storage device and executed by a computing device, or can be respectively manufactured as each integrated circuit module, or can be manufactured as a single integrated circuit module for multiple modules or steps. Thus, the present application is not limited to any specific combination of hardware and software.

[0140] It is noted that the above merely describes the preferred embodiments of the present application and the applied technical principles. Those skilled in the art should understand that the present application is not limited to the specific embodiments described herein, and various obvious changes, re-adjustments and substitutions can be made by those skilled in the art without departing from the scope of the present application. Therefore, although the present application is described in detail through the above embodiments, the present application is not limited to the above embodiments, and can include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the appended claims.

Claims

1. A method for collaboratively determining parameters of a suspension instrument and a steering column, characterized in that: include: Obtaining a vehicle driving environment model of a first vehicle model, and generating a human-machine model corresponding to at least one driver determined based on the vehicle driving environment model and a preset population; wherein the vehicle driving environment model includes at least reference design parameters corresponding to a suspension instrument and a steering column; Determining, based on the human-machine model, a first instrument visual field analysis result and a first driving comfort analysis result corresponding to different parameter combinations of the suspension instrument and the steering column; wherein the parameter combinations are determined based on the reference design parameters; determining at least one candidate parameter combination from the different parameter combinations based on the first instrument field of view analysis result and the first driving comfort analysis result, and obtaining a second instrument field of view analysis result and a second driving comfort analysis result of the human-machine simulated driving corresponding to the at least one candidate parameter combination; Target design parameters are determined based on the second instrument field of view analysis result and the second driving comfort analysis result.

2. The method according to claim 1, characterized in that The process of determining the reference design parameters includes: Obtaining a preset angle range corresponding to a steering column inclination angle of the steering column; Inputting an angle value within the preset angle range into a preset two-variable correlation formula corresponding to the suspension height of the suspension instrument and the steering column tilt angle to obtain a suspension height value of the suspension instrument output by the preset two-variable correlation formula; wherein the preset two-variable correlation formula is a mathematical model constructed based on historical field of view collaborative design data of the suspension instrument and the steering column; The preset angle range and the levitation height range corresponding to the levitation height value are used as the reference design parameters.

3. The method according to claim 2, characterized in that The preset two-variable correlation formula is: h=[K*sinα+m*(L1-L2)]*n; Where h is the suspension height of the suspended instrument; K is the width of the steering wheel spoke for observing the instrument, α is the steering column inclination angle, m is the instrument visibility coefficient, L1 is the distance from the driver's eye point to the center of the suspended instrument, L2 is the distance from the driver's eye point to the center of the steering wheel, and n is the driving comfort compensation coefficient.

4. The method according to claim 1, wherein The human-machine simulated driving includes a simulated driving process of a group matched with each human-machine model; Accordingly, determining target design parameters according to the second instrument field of view analysis result and the second driving comfort analysis result includes: Calculating, based on the evaluation result weight of each object in the group and the object data in the group, an average score of the second instrument visual field analysis result and the second driving comfort analysis result corresponding to the group; The candidate parameter combination corresponding to the highest score in the average scores is determined as the target design parameters.

5. The method according to claim 2, characterized in that The method further comprises: The parameters in the preset two-variable association formula are calibrated according to the target design parameters.

6. The method according to claim 1, characterized in that The process of determining a human-machine model corresponding to at least one driver based on a preset population includes: Grouping the preset population according to gender to obtain population groups; According to the percentile of the height values ​​in each of the population groups, a height value corresponding to at least one preset height percentile is taken as a corresponding man-machine model parameter to determine the corresponding man-machine model.

7. The method according to any one of claims 1 to 6, characterized in that: The first vehicle type includes a light commercial vehicle.

8. A device for collaboratively determining parameters of a suspension instrument and a steering column, characterized in that: include: a model determination module, configured to obtain a vehicle driving environment model of the first vehicle model and determine a human-machine model corresponding to at least one driver determined based on the vehicle driving environment model and a preset population; wherein the vehicle driving environment model includes at least reference design parameters corresponding to a suspension instrument and a steering column; a model-based simulation data determination module, configured to determine, based on the human-machine model, a first instrument field of view analysis result and a first driving comfort analysis result corresponding to different parameter combinations of the suspension instrument and the steering column; wherein the parameter combinations are determined based on the reference design parameters; a human-machine driving simulation data determination module, configured to determine at least one candidate parameter combination from the different parameter combinations based on the first instrument field of view analysis result and the first driving comfort analysis result, and obtain a second instrument field of view analysis result and a second driving comfort analysis result of the human-machine simulated driving corresponding to the at least one candidate parameter combination; A design parameter determination module is used to determine target design parameters according to the second instrument field of view analysis result and the second driving comfort analysis result.

9. A computer device, characterized in that: The computer device comprises: one or more processors; a memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for collaboratively determining parameters of a suspension instrument and a steering column as described in any one of claims 1 to 7.

10. A storage medium containing computer-executable instructions, characterized in that: When executed by a computer processor, the computer executable instructions are used to execute the method for collaboratively determining suspension instrument and steering column parameters according to any one of claims 1 to 7.

Images