A method and system for assessing the convenience of getting on and off a vehicle for drivers and passengers

Abstract

This invention discloses a method and system for assessing the convenience of getting in and out of a vehicle for drivers and passengers, belonging to the field of automotive development technology. It includes: establishing a hard-point boundary coordinate system model based on a pre-set human-machine hardware model; selecting key and implicit key dimensions affecting driver and passenger entry and exit based on the human-machine hardware model and the hard-point boundary coordinate system model, determining the correlation between key and implicit key dimensions, and calculating influence factors; adjusting the key and / or implicit key dimensions based on the influence factors to determine the convenience impact boundary range of the vehicle to be assessed. This method can more accurately identify the advantages and disadvantages of the convenience of getting in and out of the vehicle and the satisfaction boundary, improving efficiency; it solves the problems of existing assessments of driver and passenger entry and exit convenience having certain limitations and data that is not intuitive and lacks persuasiveness.

Description

Technical Field

[0001] This invention relates to the field of automotive development technology, and in particular to a method and system for assessing the ease of getting in and out of a vehicle for drivers and passengers. Background Technology

[0002] The statements in this section merely refer to the background art related to this invention and do not necessarily constitute prior art.

[0003] In the past, people's understanding of cars was limited to transportation. However, with the continuous development of technology, vehicles have become mobile living spaces that integrate travel and office work. People's demand for vehicle comfort is getting higher and higher, and the convenience and adaptability of getting in and out of the vehicle for drivers and passengers are the most intuitive manifestations of vehicle comfort.

[0004] Currently, in the development of automobile products, subjective surveys and scoring by different groups of people are used to evaluate the ease of getting in and out of the newly developed vehicle model. Although this method can identify the general direction of optimization for the newly developed model, it cannot identify the specific parameter values ​​for optimization, and thus has certain limitations. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a method, system, electronic device, and computer-readable storage medium for assessing the convenience of getting in and out of a vehicle for drivers and passengers. This method can intuitively identify subtle differences in the convenience of getting in and out of a vehicle for drivers and passengers, and clarify the optimization direction for the vehicle to be evaluated.

[0006] In a first aspect, the present invention provides a method for evaluating the convenience of getting on and off a vehicle for drivers and passengers;

[0007] A method for assessing the convenience of getting in and out of a vehicle for drivers and passengers includes:

[0008] Based on the pre-defined human-machine hardware model, a hard point boundary coordinate system model is established.

[0009] Based on the human-machine hardware model and the hard point boundary coordinate system model, the key dimensions and hidden key dimensions that affect passengers getting on and off the vehicle are screened, the correlation between key dimensions and hidden key dimensions is determined, and the influence factors are calculated.

[0010] Based on the impact factors, adjust the critical dimensions and / or hidden critical dimensions to determine the boundary range of the convenience impact on the vehicle to be evaluated.

[0011] In some implementations, the hard point boundary coordinate system model is a coordinate axis with the human body H point as the origin, the vehicle's height direction as the Z-axis, the vehicle's length direction as the X-axis, and the vehicle's width direction as the Y-axis.

[0012] In some implementations, the influence factor is expressed as:

[0013] S = CW001 × H5;

[0014] In the formula, CW001 is the Y-direction distance between the human body H point and the outermost edge of the side of the vehicle when the side door is open, and H5 is the Z-direction distance between the human body H point and the unloaded ground.

[0015] In some implementations, the step of screening the key dimensions and hidden key dimensions affecting passengers getting on and off the vehicle based on the human-machine hardware model and the hard point boundary coordinate system model specifically involves determining the key dimensions and hidden key dimensions affecting passengers getting on and off the vehicle based on the balance relationship between the human-machine hard points, knee points, heel points and the ground in the platform architecture.

[0016] In some implementations, it also includes:

[0017] Based on the impact factors, the optimization direction of the vehicle to be evaluated is determined according to the evaluation cost and platform cost.

[0018] In some implementations, determining the optimization direction of the vehicle to be evaluated based on the impact factors and the assessment cost and platform cost specifically means: adjusting the critical dimensions or hidden critical dimensions based on the range of impact factors that ensure the convenience of getting in and out of the vehicle for drivers and passengers, with the aim of minimizing the assessment cost and platform cost.

[0019] Secondly, the present invention provides a system for assessing the convenience of getting in and out of a vehicle for drivers and passengers;

[0020] A system for assessing the ease of getting in and out of a vehicle for drivers and passengers includes:

[0021] The model building module is configured to: establish a hard point boundary coordinate system model based on a preset human-machine hardware model;

[0022] The evaluation module is configured to: screen the critical and hidden critical dimensions that affect passengers getting in and out of the vehicle based on the human-machine hardware model and the hard point boundary coordinate system model, determine the correlation between the critical and hidden critical dimensions, and calculate the influence factors;

[0023] The optimization module is configured to: adjust key dimensions and / or hidden key dimensions based on the impact factors to determine the boundary range of the convenience impact on the vehicle to be evaluated.

[0024] Thirdly, the present invention provides an electronic device;

[0025] An electronic device includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, wherein the computer instructions, when executed by the processor, complete the steps of the above-described method for assessing the convenience of getting on and off a vehicle for drivers and passengers.

[0026] Fourthly, the present invention provides a computer-readable storage medium;

[0027] A computer-readable storage medium for storing computer instructions, which, when executed by a processor, complete the steps of the above-described method for assessing the convenience of getting on and off a vehicle for drivers and passengers.

[0028] Compared with the prior art, the beneficial effects of the present invention are:

[0029] 1. The technical solution provided by this invention is based on the relationship between the H-point, knee point, heel point, and ground in automotive ergonomics. By finding the key dimension CW001 that affects passengers getting on and off the vehicle, it captures the influence and constraints of the hidden key dimension H5. It then derives a multiplicative relationship between the two dimensions, which is equivalent to the determining factor of area size. That is, the comparison of the area enclosed by the passenger's thighs and calves, the seat height H-point, and the ground. By linking the convenience of getting on and off the vehicle and the causal relationship through the product relationship, a balance is achieved between convenience and the four elements. This yields the influence factor S value used to evaluate the convenience of getting on and off the vehicle. The difference of this factor parameter is accurate to the single digit. The magnitude of the difference value can intuitively give a quantitative parameter result of the degree of advantage or disadvantage.

[0030] 2. The technical solution provided by this invention can intuitively identify subtle differences in the convenience of getting in and out of the vehicle for drivers and passengers by setting the influence factor S value. This allows for a clear focus on a specific direction to achieve maximum comfort. Under the premise of optimizing a certain number of parameter quantification values, the best performance-cost effect can be achieved. Attached Figure Description

[0031] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0032] Figure 1 A schematic diagram of the architecture of the hard point boundary coordinate system model provided in an embodiment of the present invention;

[0033] Figure 2 This is a flowchart provided for an embodiment of the present invention;

[0034] Figure 3 A schematic diagram of the hard point boundary coordinate system model provided in an embodiment of the present invention;

[0035] Figure 4 This is a schematic diagram of the balance relationship provided for an embodiment of the present invention. Detailed Implementation

[0036] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0037] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments of the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. Furthermore, it should be understood that the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0038] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0039] Example 1

[0040] Existing methods for assessing the convenience of getting in and out of vehicles are subject to the subjective influence of the assessors, and the accuracy and persuasiveness of the data need to be improved. Therefore, this invention provides a method for assessing the convenience of getting in and out of vehicles.

[0041] Next, combined Figures 1-4 This embodiment provides a detailed description of a method for assessing the convenience of getting on and off a vehicle for drivers and passengers. The method includes the following steps:

[0042] S1. Based on the preset human-machine hardware model, establish a hard point boundary coordinate system model; where, for example... Figure 3 As shown, the hard point boundary coordinate system model is a coordinate system with the human body H point as the origin, the vehicle height direction as the Z-axis, the vehicle length direction as the X-axis (the direction of the vehicle's front is negative), and the vehicle width direction as the Y-axis (the direction of the driver's left-hand side is negative).

[0043] In this embodiment, the H-point of the human body refers to the intersection of the torso line and the thigh line of the three-dimensional human body model. The human-computer hardware model is as follows: Figure 1 As shown.

[0044] S2. Based on the human-machine hardware model and the hard point boundary coordinate system model, screen the critical dimensions and hidden critical dimensions that affect passengers getting on and off the vehicle, determine the correlation between the critical dimensions and the hidden critical dimensions, and calculate the influence factors.

[0045] Specifically, based on the balance relationship between the human-machine hard points, knee points, heel points and the ground in the platform architecture, the key dimensions and hidden key dimensions that affect the getting in and out of the vehicle for drivers and passengers are determined.

[0046] The H-point of the human-machine interface is used to assess the passenger's seating height, while the knee point, heel point, and vehicle side wall are used to assess the risk of leg scraping when getting in and out of the vehicle. The ground is used to assess whether the feet can reach the ground when getting out of the vehicle. The human-machine interface hard point, knee point, heel point, vehicle side wall, and ground form key correlation points in the platform-based architecture, which interact with each other and form an influencing and restrictive relationship on the convenience of getting in and out of the vehicle.

[0047] like Figure 4 As shown, let L1 be the line connecting the human-machine point H and the knee, and L2 be the line connecting the knee and the heel. The lengths of L1 and L2 remain constant. As the human-machine point H rises, the lower leg inevitably moves closer to the inside of the vehicle; as the human-machine point H descends, the lower leg can extend outwards. This relationship is a constant within a certain range. Therefore, based on this relationship, the variable factors affecting the convenience of getting in and out of the vehicle can be identified as the critical dimension CW001 and the hidden dimension H5. CW001 represents the Y-axis distance between the human-machine point H and the outermost edge of the side door when it is open, and H5 represents the Z-axis distance from the human-machine point H to the unloaded ground. Based on the critical dimension and the hidden dimension, the influencing factor is obtained, expressed as:

[0048] S = CW001 × H5;

[0049] In the formula, S represents the influence factor.

[0050] Assuming a fixed leg length, the higher the H5, the smaller the value of CW001 must be to ensure ease of getting on and off the vehicle. Conversely, as the H5 decreases, the value of CW001 can be appropriately increased to still meet the ease of getting on and off the vehicle. By locking the passenger's thigh length and the architectural attribute parameters of the platform-based H5, it is proposed to use a factor to evaluate the impact of multiplying CW001 and H5 (area parameterization). The smaller the impact factor, the better the ease of getting on and off the vehicle for drivers and passengers.

[0051] The impact factor S value is expressed as S = CW001 × H5. The difference in this impact factor, accurate to the single digit, can provide a very intuitive quantitative parameter result of the degree of superiority or inferiority.

[0052] S3. Based on the influencing factors, adjust the key dimensions to determine the boundary range of the convenience impact of the vehicle to be evaluated; based on the evaluation cost and platform cost, determine the optimization direction of the vehicle to be evaluated.

[0053] In this embodiment, by measuring and comparing CW001 and H5 of different brands of vehicles already in mass production on the market, the range of influencing factors ensuring the convenience of getting in and out of the vehicle for drivers and passengers is determined. To ensure the convenience of getting in and out of the vehicle for drivers and passengers, CW001 or H5 should be prioritized. H5 is a relatively critical value in the overall vehicle design process. It originates from the human-machine H-point (the human-machine hard point of the platform architecture) and the overall vehicle architecture strategy. It is affected by the platform bandwidth and the vehicle's passability definition requirements. Generally, it is a fixed value in the vehicle platform architecture (only slightly adjusted with tire size and suspension) and cannot be adjusted on a large scale.

[0054] Therefore, within the range of factors affecting the convenience of getting in and out of the vehicle for drivers and passengers, this embodiment provides the boundary point and optimization direction of the entire convenience impact by adjusting the value of CW001. At the same time, considering the cost of adjusting the value of CW001 and the convenience of getting in and out of the vehicle for drivers and passengers, the final value of CW001 is determined so that it minimizes the cost while ensuring the convenience of getting in and out of the vehicle for drivers and passengers.

[0055] Next, by combining the results of comfort differences from real-world feedback on best-selling cars with their corresponding calculated influencing factor values, the correctness and feasibility of this method are verified.

[0056] The evaluation results of a certain vehicle model using the method described in this embodiment are shown below:

[0057] Model CW001 H5 Impact Factor S A 1 460 702 322920 A 2 450 702 315900 A 3 440 702 308880 B1 470 702 329940 B2 451 670 302170 B3 440 710 312400 B4 461 705 325005 B5 435 701 304935 B6 456 713 325128 B7 447 707 316029 B8 456 685 312360 B9 459 703 322677

[0058] As shown in the table above, column 1 represents the vehicle model, and column 4 represents the S-value of the influencing factor for ease of getting on and off the vehicle. Among them, models A1 to A3 are a certain development model (the three S-value results reflected by the optimization of CW001 from 460 to 440mm), and models B1 to B9 are mass-produced models on the market (the influencing factor S-value results obtained from actual measurement). The comparison results are as follows:

[0059] CW001: Comparison of ease of getting on and off the vehicle (460mm):

[0060] B2>B5>B8>B3>B7>B9>A1>B4>B6>B1.

[0061] CW001: Comparison of ease of getting on and off the vehicle (450mm):

[0062] B2>B5>B8>B3>A2>B7>B9>B4>B6>B1.

[0063] CW001: Comparison of ease of getting on and off the vehicle (440mm):

[0064] B2>B5>A 3>B8>B3>B7>B9>B4>B6>B1.

[0065] In actual subjective evaluation of the actual vehicle, the B2 model received the highest score for ease of getting in and out of the vehicle. Combined with the above comparison results, it can be seen that the B2 model's ease of getting in and out of the vehicle, obtained using the method described in this embodiment, also ranks first, which is consistent with the final customer evaluation conclusion.

[0066] While ensuring the platform's H5 value, the method described in this embodiment quickly assesses that CW001, defined by a parameter value of 460mm, has poorer ease of getting in and out of the vehicle compared to most vehicles. Optimizing CW001 to a value of 440mm would increase the cost of floor safety collision protection. Considering the platform's reuse cost and economy, optimizing to 450mm provides a comfortable level that is essentially average. In terms of overall platform reuse and safety, this is the most cost-effective option, without causing market problems. The conclusion of an optimization boundary value of 450mm is quickly reached, avoiding vague range investigation and risk prediction. It also reduces the verification steps of subjective evaluation and model making, saving product development time.

[0067] Example 2

[0068] This embodiment discloses a system for assessing the convenience of getting in and out of a vehicle for drivers and passengers, including:

[0069] The model building module is configured to: establish a hard point boundary coordinate system model based on a preset human-machine hardware model;

[0070] The evaluation module is configured to: screen the critical and hidden critical dimensions that affect passengers getting in and out of the vehicle based on the human-machine hardware model and the hard point boundary coordinate system model, determine the correlation between the critical and hidden critical dimensions, and calculate the influence factors;

[0071] The optimization module is configured to: adjust key dimensions and / or hidden key dimensions based on the impact factors to determine the boundary range of the convenience impact on the vehicle to be evaluated.

[0072] It should be noted that the model building module, evaluation module, and optimization module described above correspond to the steps in Embodiment 1. The examples and application scenarios implemented by these modules and their corresponding steps are the same, but they are not limited to the content disclosed in Embodiment 1. It should also be noted that these modules, as part of the system, can be executed in a computer system, such as a set of computer-executable instructions.

[0073] Example 3

[0074] Embodiment 3 of the present invention provides an electronic device, including a memory and a processor, as well as computer instructions stored in the memory and running on the processor. When the computer instructions are executed by the processor, they complete the steps of the above-mentioned method for assessing the convenience of getting on and off the vehicle for drivers and passengers.

[0075] Example 4

[0076] Embodiment 4 of the present invention provides a computer-readable storage medium for storing computer instructions, which, when executed by a processor, complete the steps of the above-described method for assessing the convenience of getting on and off a vehicle for drivers and passengers.

[0077] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0078] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0079] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment, whereby a series of operational steps are performed to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0080] The descriptions of each embodiment in the above embodiments have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0081] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for assessing the convenience of getting on and off a vehicle for drivers and passengers, characterized in that, include: Based on the preset human-machine hardware model, a hard point boundary coordinate system model is established; the hard point boundary coordinate system model is a coordinate axis with the human body H point as the origin, the vehicle height direction as the Z axis direction, the vehicle length direction as the X axis direction, and the vehicle width direction as the Y axis direction. Based on the human-machine hardware model and the hard point boundary coordinate system model, the key dimensions and hidden key dimensions that affect passengers getting on and off the vehicle are screened, the correlation between key dimensions and hidden key dimensions is determined, and the influence factors are calculated. Based on the impact factors, the critical dimensions and / or hidden critical dimensions are adjusted to determine the boundary range of the convenience impact on the vehicle to be evaluated; the impact factors are expressed as: S = CW001 × H5; In the formula, CW001 is the Y-direction distance between the human body H point and the outermost edge of the side of the vehicle when the side door is open, and H5 is the Z-direction distance between the human body H point and the unloaded ground.

2. The method for assessing the convenience of getting on and off the vehicle for drivers and passengers as described in claim 1, characterized in that, The process of selecting key and hidden key dimensions affecting passengers getting on and off the vehicle based on the human-machine hardware model and hard point boundary coordinate system model is as follows: Based on the balance relationship between the human-machine hard points, knee points, heel points and the ground in the platform architecture, the key and hidden key dimensions affecting passengers getting on and off the vehicle are determined.

3. The method for assessing the convenience of getting on and off the vehicle for drivers and passengers as described in claim 1, characterized in that, The influencing factor is inversely proportional to the ease of getting in and out of the vehicle for drivers and passengers.

4. The method for assessing the convenience of getting on and off the vehicle for drivers and passengers as described in claim 1, characterized in that, Also includes: Based on the impact factors, the optimization direction of the vehicle to be evaluated is determined according to the evaluation cost and platform cost.

5. The method for assessing the convenience of getting on and off the vehicle for drivers and passengers as described in claim 4, characterized in that, The optimization direction for the vehicle to be evaluated, based on the influencing factors and the assessment cost and platform cost, is specifically determined as follows: based on the range of influencing factors that ensure the convenience of getting in and out of the vehicle for drivers and passengers, and with the aim of minimizing the assessment cost and platform cost, the critical dimensions or hidden critical dimensions are adjusted.

6. A system for assessing the convenience of passengers getting on and off a vehicle, characterized in that, include: The model building module is configured to: establish a hard point boundary coordinate system model based on a preset human-machine hardware model; the hard point boundary coordinate system model is a coordinate system with the human body H point as the origin, the vehicle height direction as the Z-axis direction, the vehicle length direction as the X-axis direction, and the vehicle width direction as the Y-axis direction. The evaluation module is configured to: based on the hard-point boundary coordinate system model of the human-machine hardware model, screen the critical and hidden critical dimensions affecting passengers getting in and out of the vehicle, determine the correlation between the critical and hidden critical dimensions, and calculate the influence factor; the influence factor is expressed as: S = CW001 × H5; In the formula, CW001 is the Y-direction distance between the human body H point and the outermost edge of the side of the vehicle when the side door is open, and H5 is the Z-direction distance between the human body H point and the unloaded ground. The optimization module is configured to: adjust key dimensions and / or hidden key dimensions based on the impact factors to determine the boundary range of the convenience impact on the vehicle to be evaluated.

7. An electronic device, characterized in that, It includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, which, when executed by the processor, complete the method for assessing the ease of getting in and out of a vehicle as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, Used to store computer instructions, which, when executed by a processor, complete the method for assessing the convenience of getting on and off a vehicle for drivers and passengers as described in any one of claims 1-5.

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