Scaling method for chest impact response channels in automotive crash dummy models

Abstract

This invention provides a method for scaling the chest impact response channel of a car crash dummy. [Solution] The method according to the present invention includes the steps of: obtaining the chest mass and scaling coefficients in each direction of a car crash dummy; constructing a crash system and determining operating condition parameters; determining the relationship between mechanical parameters and the operating condition parameters based on the crash system, wherein the mechanical parameters include inertial force and chest compression; determining the scaling coefficient of the mechanical parameters based on the scaling coefficient and the relationship; and determining the chest impact response channel of the target dummy based on the scaling coefficient of the mechanical parameters, basic physical characteristic parameter values ​​of a reference dummy, basic physical characteristic parameter values ​​of a target dummy, and the chest impact response channel of the reference dummy.

Description

Technical Field

[0001] The present invention relates to the field of automobile collision safety tests, and particularly to a scaling method for the chest impact response channel of an automobile collision dummy.

Background Art

[0002] An automobile collision dummy is an important test tool for evaluating automobile safety by substituting for the actual human body. However, the collision dummies used in China are designed based on the physical characteristics of Europeans and Americans, whose geometric characteristics are significantly different from those of Chinese people. Therefore, the development of a collision dummy that reflects the physical characteristics of Chinese people is extremely important for improving the accuracy of automobile safety evaluation.

[0003] In the process of developing the chest structure of a dummy with the physical characteristics of Chinese people, the calibration test is an important verification stage. Among them, the chest impact response channel is an important indicator for evaluating the accuracy of the biofidelity of the chest of the dummy. Currently, the response limit values and channels used in the dummy are set based on the cadaver experiment data of Europeans and Americans with physical characteristics, but these data are significantly different from those of Chinese people and cannot be scientifically and accurately applied to the fidelity evaluation of the chest of Chinese people.

[0004] In view of such a situation, the present invention is proposed.

Summary of the Invention

[0005] The present invention aims to provide a scaling method for the chest impact response channel of an automobile collision dummy. The method takes into account the effects of rigidity and viscosity on the chest impact response, can be applied to the chest development of a dummy with the physical characteristics of Chinese people, and can improve the accuracy of the biofidelity of the chest of the dummy.

[0006] To achieve the above object, the present invention adopts the following technical means.

[0007] In a first aspect, the present invention acquiring the chest mass of a dummy for vehicle collision and scaling coefficients in each direction; constructing a collision system and determining operating condition parameters, where the operating condition parameters include the mass m1 of the pendulum, the chest mass m2 of the dummy, the initial velocity v0 of the pendulum, and the relative velocity v when the pendulum leaves the chest of the dummy f , the chest compression amount u(t) of the dummy at time t, the chest compression velocity v(t) of the dummy at time t, the chest combined acceleration a(t) of the dummy at time t, the equivalent stiffness K E , the equivalent viscosity C E , and including rib assembly parameters; determining the relationship between the mechanical parameters and the operating condition parameters based on the collision system, where the mechanical parameters include the inertial force F and the chest compression amount D; determining the scaling coefficient of the mechanical parameters based on the scaling coefficients and the relationship; determining the chest impact response channel of the target dummy based on the scaling coefficient of the mechanical parameters, the basic physical characteristic parameter values of the reference dummy, the basic physical characteristic parameter values of the target dummy, and the chest impact response channel of the reference dummy, and providing a method for scaling the chest impact response channel of a dummy for vehicle collision.

[0008] In a second aspect, the present invention provides an electronic device including at least one processor and at least one memory communicably connected to the processor. The memory stores instructions executable by the processor, and when the instructions are executed by the processor, the processor can execute the above method.

[0009] In a third aspect, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the above method.

[0010] Compared to conventional technology, the beneficial effects of the present invention are as follows:

[0011] The present invention provides a method for scaling the chest impact response channel of an automobile crash dummy. This method first obtains the chest mass and scaling coefficients in each direction of the automobile crash dummy, then constructs a crash system and determines the operating state parameters. Subsequently, based on the crash system, the relationship between the mechanical parameters, including the inertial force F and chest compression amount D, and the operating state parameters is determined. Furthermore, based on the scaling coefficients and the relationship, the scaling coefficients of the mechanical parameters are determined, and the chest impact response channel of the target dummy is determined based on the scaling coefficients of the mechanical parameters, the basic physical characteristic parameter values ​​of the reference dummy, the basic physical characteristic parameter values ​​of the target dummy, and the chest impact response channel of the reference dummy. In this method, equivalent stiffness and equivalent viscosity are included in the operating state parameters. Therefore, when determining the relationship between the mechanical parameters and the operating state parameters based on the collision system, the effects of stiffness and viscosity on the chest impact response are taken into consideration. As a result, the chest impact response channel of the obtained target dummy becomes more reliable, and can compensate for the lack of biomechanical verification even when cadaver experiments cannot be performed on a human population with the physical characteristics represented by the target dummy. Thus, this method can be effectively used for developing the chest of a dummy with the physical characteristics of a Chinese person, improving the accuracy of the biofidelity of the dummy's chest. [Brief explanation of the drawing]

[0012] To more clearly explain specific embodiments of the present invention or technical solutions in the prior art, the drawings used to describe specific embodiments or the prior art are briefly introduced below. Naturally, the drawings described below are only a part of the embodiments of the present invention, and those skilled in the art can easily conceive of other drawings based on these without requiring any creative effort.

[0013] [Figure 1]This is a flowchart illustrating a method for scaling the chest impact response channel of an automobile crash dummy provided by the present invention. [Figure 2] This is a schematic diagram of the structure of the collision system according to the present invention. [Figure 3] This is a schematic diagram of the structure of the rib assembly according to the present invention. [Figure 4] This is a schematic diagram of the scaling results of the chest impact response channel of a car crash dummy according to the present invention. [Figure 5] This is a schematic diagram of the structure of the electronic device provided by the present invention. [Modes for carrying out the invention]

[0014] Illustrative embodiments of this application will be described below with reference to the drawings, and the description will include various details of the embodiments of this application to aid understanding, which should be considered to be merely illustrative. Accordingly, those skilled in the art should recognize that various changes and modifications to the embodiments described herein are possible without departing from the scope and spirit of this application. Similarly, for clarity and conciseness, the following description will omit descriptions of known functions and structures.

[0015] Example 1 Figure 1 is a flowchart of a method for scaling the chest impact response channels of an automotive crash dummy provided in this embodiment. The method is performed by an automotive crash dummy chest impact response channel scaling device. This device can consist of software and / or hardware and is generally integrated into electronic equipment. For ease of understanding, each step in the control method of this embodiment is described with a computer as the executing entity.

[0016] As shown in Figure 1, this embodiment provides a method for scaling the chest impact response channel of an automobile crash dummy, and includes the following steps S110 to S150.

[0017] In S110, the chest mass of the dummy for vehicle collision and the scaling coefficients in each direction are obtained.

[0018] Optionally, the chest mass of the dummy for vehicle collision and the scaling coefficients in each direction are JPEG2026056586000002.jpg36169, where R m2 is the scaling coefficient of the chest mass, λ x is the scaling coefficient in the depth direction of the chest, λ y is the scaling coefficient in the width direction of the chest, λ z is the scaling coefficient in the height direction of the chest, (TBW) S is the chest mass of the target dummy, (TBW) H is the chest mass of the reference dummy, (CT) S is the chest depth of the target dummy, (CT) H is the chest depth of the reference dummy, (CW) S is the chest width of the target dummy, (CW) H is the chest width of the reference dummy, (CH) S is the chest height of the target dummy, (CH) H is the chest height of the reference dummy, (TW) S is the body weight of the target dummy, (TW) H is the body weight of the reference dummy, (TSH) S is the seat height of the target dummy, (TSH) H respectively indicate the seat height of the reference dummy.

[0019] When the chest dimensions and mass parameters of the target dummy and the reference dummy are known, the chest mass of the dummy for vehicle collision and the scaling coefficients in each direction are obtained by Equation (1). Also, when only the seat height and body weight of the target dummy and the reference dummy are known, the chest mass of the dummy for vehicle collision and the scaling coefficients in each direction are obtained as shown in Equation (2).

[0020] In S120, a collision system is constructed and operation status parameters are determined. The operation status parameters include the mass m1 of the pendulum, the chest mass m2 of the dummy, the initial velocity v0 of the pendulum, and the relative velocity v when the pendulum leaves the chest of the dummy. f, dummy chest compression amount u(t) at time t, dummy chest compression velocity v(t) at time t, dummy chest combined acceleration a(t) at time t, equivalent stiffness K E , equivalent viscosity C E , including rib assembly parameters.

[0021] The impact on the dummy's chest can be considered a complete collision system, in which case the collision system can be simplified to a single-degree-of-freedom collision of two rigid bodies, and as shown in Figure 2, it includes two mass blocks, one spring, and one dashpot. The two mass blocks are defined to represent the pendulum mass block (with mass m1) and the dummy's chest mass block (with mass m2), respectively, where the spring is used to indicate the overall rigidity of the collision system, and the dashpot is used to indicate the overall stiffness of the collision system, with the equivalent stiffness of the spring being K E Therefore, the equivalent viscosity of the dashpot is C E And the subscripts S and H still represent the target dummy and reference dummy, respectively, for example, (C E ) H This represents the equivalent viscosity in the reference dummy collision system.

[0022] In the collision system, the displacement of m1 at time t is y1(t), the velocity is v1(t), and the acceleration is a1(t). The displacement of m2 at time t is y2(t), the velocity is v2(t), and the acceleration is a2(t). In this case, the equations for chest compression u(t), chest compression velocity v(t), and chest composite acceleration are given by equation (3). JPEG2026056586000003.jpg34118

[0023] The collision process is divided into three stages. First, there is the compression stage, in which the pendulum mass block gradually approaches the dummy chest mass block at an initial velocity v0, and the chest compression gradually increases. Second, there is the convection stage, at which point the chest compression is at its maximum, denoted as D, and the velocity at this time is V. Third, there is the separation stage, in which the pendulum mass block gradually moves away from the dummy chest mass block. The relative velocity between the two when the pendulum mass block moves away from the dummy chest mass block is defined as the separation velocity, and the velocity is v f The speed loss coefficient is defined as e, and its formula is given by equation (4). JPEG2026056586000004.jpg33143

[0024] In S130, the relationship between the mechanical parameters and the operating condition parameters is determined based on the collision system, and the mechanical parameters include the inertial force F and the chest compression amount D.

[0025] The step of selectively determining the relationship between the dynamic parameters and the operating state parameters based on the collision system is: The steps include determining a system dynamics model based on the aforementioned collision system, The method includes the step of determining the relationship between the dynamic parameters and the operating condition parameters in accordance with the system dynamics model, system momentum conservation, system energy conservation, and system dissipation internal energy.

[0026] Specifically, in the collision process, the system dynamics model is expressed by equation (5). In the equation, m e This shows the equivalent mass of the pendulum and the dummy chest in the collision system. JPEG2026056586000005.jpg29124

[0027] As the damping ratio of the system approaches 0, the chest compression amount and chest compression velocity of the system can be approximately represented by an ellipse, and thus approximately equations for the chest compression amount u(t) and chest compression velocity v(t) can be obtained, as shown in equation (6). JPEG2026056586000006.jpg36159

[0028] Therefore, the chest compression velocity v(t) during the compression and separation phases can be expressed as equation (7). JPEG2026056586000007.jpg45142

[0029] According to the law of conservation of momentum, the system satisfies equation (8). JPEG2026056586000008.jpg26162

[0030] According to the law of conservation of energy, the energy of the system satisfies equation (9). JPEG2026056586000009.jpg25158

[0031] In the equation, E0 is the initial kinetic energy of the system, E k This is the kinetic energy when the system is at coveted speed, U k Q is the elastic potential energy when the system is co-velocating. C is the internal energy dissipated by the system. Substituting known operating condition parameters into equation (9), we obtain equation (10). JPEG2026056586000010.jpg19159

[0032] In the equation, u(t) is the derivative of u(t), that is, u(t) = v(t).

[0033] equivalent viscosity C E We define it as satisfying equation (11).

[0034] In equation 15153, ξ is the viscosity correction coefficient. Substituting equations (7), (8), and (11) into equation (10), we obtain the equation for the maximum compression amount D, which is shown in equation (12). JPEG2026056586000012.jpg24131

[0035] Assuming the dummy thoracic cavity is a semicircular rib assembly made of a continuous and uniform medium (see Figure 3), with radius r and a rectangular cross-section of depth t and height h), the inertial force F acting on the tip of the rib assembly under impact conditions is given by equation (13). At this time, it is compressed by Δr along the center of the circle. At this time, the work W done by the external force on one side of the rib assembly system is given by the external force. M This is all due to the strain energy U caused by the bending of the ribs. E and internal energy Q C It is converted to the form shown in equation (14). JPEG2026056586000013.jpg35144

[0036] In the formula, strain energy U E This can be expressed as equation (15). In the formula shown in JPEG2026056586000014.jpg22144, E is the Young's modulus of the rib assembly and I is the moment of inertia of the rectangular cross-section, and the formula is as shown in formula (16). JPEG2026056586000015.jpg32157

[0037] Based on dynamics theory, the internal energy Q of the system dissipates. C This can be expressed as equations (17) and (18). JPEG2026056586000016.jpg42170

[0038] By solving equations (12), (17), and (18) simultaneously, the viscosity correction coefficient ξ can be determined, and the result is shown in equation (19). JPEG2026056586000017.jpg23115

[0039] By solving equations (12) to (19) simultaneously, we can derive the equations for the main dynamic parameters of the collision system, which are shown in (20). JPEG2026056586000018.jpg45135

[0040] In the formula, M and N are functions of e, and the formulas are as follows: JPEG2026056586000019.jpg35144

[0041] In S140, the scaling coefficient of the mechanical parameter is determined based on the scaling coefficient and the relationship.

[0042] R F , R D and R Ke These are the dynamic parameters F and D of the reference dummy and the operating condition parameter K, respectively, relative to the target dummy. e These scaling factors are defined as such, and can be expressed by the following equations. JPEG2026056586000020.jpg51161

[0043] Furthermore, in order to simplify equation (22), R v0 , R m1 , R me , R e , R E , R M and R N These are the initial velocity v0 of the pendulum, the mass m1 of the pendulum, the mass m2 of the dummy's chest, and the sum of the pendulum and the dummy's chest mass m, respectively. e R is defined as representing the speed loss coefficient e, the scaling coefficients of the function M and N, and these coefficients are calculated according to the actual operating conditions of the reference dummy and the target dummy, and the formulas for these scaling coefficients are shown in (23). Note that unless there are special circumstances, E It is considered to be 1. JPEG2026056586000021.jpg65128

[0044] Furthermore, R h , R t and R r These are defined as scaling factors for the h, t, and r parameters of the reference dummy relative to the target dummy, and these scaling factors are determined by the dimensional scaling factor in the direction of their position, as shown in equation (24). JPEG2026056586000022.jpg34120

[0045] Therefore, F, D and K e The scaling factor can be expressed by the following formula: JPEG2026056586000023.jpg31137

[0046] In S150, the chest impact response channel of the target dummy is determined based on the scaling coefficient of the mechanical parameters, the basic physical characteristic parameter values ​​of the reference dummy, the basic physical characteristic parameter values ​​of the target dummy, and the chest impact response channel of the reference dummy.

[0047] The step of selectively determining the chest impact response channel of the target dummy based on the scaling coefficient of the mechanical parameters, the basic physical characteristic parameter values ​​of the reference dummy, the basic physical characteristic parameter values ​​of the target dummy, and the chest impact response channel of the reference dummy, The steps include determining the chest impact response limit of the target dummy based on the scaling coefficient of the mechanical parameters, the basic physical characteristic parameter values ​​of the reference dummy, the basic physical characteristic parameter values ​​of the target dummy, and the chest impact response channel of the reference dummy, The process includes the step of determining the chest impact response channels of the target dummy based on the chest impact response limit of the target dummy.

[0048] Specifically, by substituting the basic physical characteristic parameter values ​​of the target dummy and the reference dummy into equations (1) to (25), the chest impact response limit value of the target dummy can be calculated, and by connecting the limit points, the chest impact response channel of the target dummy can be determined.

[0049] Based on the method described above, the following operations are performed in this embodiment. A Hybrid III 50th male dummy is used as the reference dummy, with its basic physical characteristics parameters being a sitting height of 872 mm, a weight of 77.748 kg, and a chest weight of 16.54 kg. The impact conditions are set to a pendulum weight of 23.411 kg and an initial velocity of 6.71 m / s, and the corresponding cadaver chest impact response channel is the reference dummy channel in Figure 4.

[0050] For a dummy with the physical characteristics of a Chinese person, the sitting height was set to 918 mm, weight to 68 kg, and chest weight to 14.77 kg, and these values ​​were substituted into equation (23) to obtain R v0 =1, R m1 =1, R me =0.955, R e =1, R E =1, R M =1.026, R N We obtain = 1.018 and substitute it into equation (24) to get R h =1.052, R t =0.91, R r = 0.91 is obtained. Finally, by substituting the above coefficient into equation (25), the scaling coefficient between the compression and inertial force in the chest impact response channel, i.e., R D =0.923, R F = 1.016 is obtained. Based on this, by scaling the limit value of the reference dummy channel, the chest impact response channel of a dummy with the physical characteristics of a Chinese person (target dummy) can be derived, specifically as shown in Figure 4.

[0051] The chest impact response channel of a dummy with Chinese physical characteristics is an important indicator for evaluating the degree of biomimetic performance of the chest of the Chinese dummy. Its main role is to evaluate whether the chest mechanical response of a dummy with Chinese physical characteristics approximates the actual response of a Chinese person by referring to impact action conditions in cadaver tests conducted outside of China, performing tests to obtain displacement-inertia force curves output from the chest sensors of the Chinese dummy, and determining the relationship between the test curves and the response channel.

[0052] The scaling method for the chest impact response channel of the automobile crash dummy described above involves first obtaining the chest mass and scaling coefficients in each direction of the automobile crash dummy, then constructing a crash system and determining the operating state parameters, and subsequently determining the relationship between the mechanical parameters and the operating state parameters based on the crash system, where the mechanical parameters include the inertial force F and the chest compression amount D. Then, based on the scaling coefficients and the relationship, the scaling coefficients of the mechanical parameters are determined, and further, the chest impact response channel of the target dummy is determined based on the scaling coefficients of the mechanical parameters, the basic physical characteristic parameter values ​​of the reference dummy, the basic physical characteristic parameter values ​​of the target dummy, and the chest impact response channel of the reference dummy. In this method, since equivalent stiffness and equivalent viscosity are included in the operating state parameters, the influence of stiffness and viscosity on the chest impact response is considered when determining the relationship between the mechanical parameters and the operating state parameters based on the crash system. As a result, the obtained chest impact response channel of the target dummy becomes more reliable, and can compensate for the lack of biomechanical verification even when cadaver experiments cannot be performed on a group of people with the physical characteristics represented by the target dummy. Therefore, this method can be applied to the development of dummy chests with the physical characteristics of Chinese people, and can improve the accuracy of the biofidelity of the dummy chests.

[0053] Example 2 As shown in Figure 5, this embodiment is At least one processor (301), The processor (301) includes at least one memory (302) that is communicably connected to it, The present invention provides an electronic device in which the memory (302) stores instructions that can be executed by the processor (301), and the processor (301) can perform the above method when the instructions are executed by the processor (301). Since the processor (301) in the electronic device can perform the above method, it has at least the same advantages as the above method.

[0054] Selectively, the electronic device may further include interfaces for connecting each component, and may have high-speed and low-speed interfaces. Each component may be connected to one another via different buses and mounted on a common mainboard or in other ways as needed. The processor (301) can process instructions executed within the electronic device, including instructions stored in or on memory (302) for displaying graphical information of a GUI (Graphical User Interface) on an external input / output device (e.g., a display device coupled to the interface). In other embodiments, multiple processors (301) may be used with multiple memories (302) as needed, and / or multiple buses may be used with multiple memories (302). Similarly, multiple electronic devices (e.g., a server array, a set of blade servers, or a multiprocessor system) may be connected, each device performing some necessary operations. Figure 5 shows one processor (301) as an example.

[0055] Memory 302 can be used as a computer-readable storage medium to store software programs, computer-executable programs and modules, such as program instructions / modules corresponding to the scaling method of the chest impact response channel of the automobile crash dummy in the embodiment of the present invention. The processor 301 executes various functional applications and data processing of the device by executing the software programs, instructions and modules stored in memory 302, thereby realizing the on-the-spot steering control method of the vehicle.

[0056] Memory 302 may primarily include a program storage area capable of storing an operating system and applications necessary for at least one function, and a data storage area capable of storing data created according to the terminal's use. Memory 302 may also include high-speed random-access memory, and further may include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, memory 302 may further include memory provided remotely from the processor 301, and these remote memories can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0057] The electronic device may further include an input device 303 and an output device 304. The processor 301, memory 302, input device 303, and output device 304 can be connected via a bus or other means, and Figure 5 shows an example of connection via a bus.

[0058] The input device 303 can receive input digital or character information, and the output device 304 may include a display device, an auxiliary lighting device (e.g., an LED), and a haptic feedback device (e.g., a vibration motor). The display device may include, but is not limited to, a liquid crystal display (LCD), a light-emitting diode (LED) display, and a plasma display. In some embodiments, the display device may be a touch panel.

[0059] Example 3 This embodiment provides a computer-readable storage medium in which computer instructions for causing a computer to perform the above method are stored. The computer instructions in the computer-readable storage medium are for causing a computer to perform the above method, and therefore have at least the same advantages as the above method.

[0060] The medium in this invention may be any combination of one or more computer-readable media. The medium may be a computer-readable signal medium or a computer-readable storage medium. The medium may be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the medium (non-exclusive list) include an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. In this specification, the medium may be any tangible medium containing or storing a program, the program may be used in or in combination with an instruction execution system, apparatus, or device.

[0061] A computer-readable signal medium may include data signals propagated within the baseband or as part of a carrier wave, and may incorporate computer-readable program code. Such propagated data signals may take various forms, including, but are not limited to, electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium may further be any computer-readable medium other than a computer-readable storage medium, which can transmit, propagate, or transmit programs used in or in combination with instruction execution systems, apparatus, or devices.

[0062] Program code contained in a computer-readable medium can be transmitted through any suitable medium, including, but not limited to, wireless, wire, optical cable, RF (Radio Frequency), or any suitable combination thereof.

[0063] 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, and the programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, and also general procedural programming languages ​​such as the "C" language or similar programming languages. The program code can run entirely on the user computer, partially on the user computer, run as a standalone software package, partially on the user computer and partially on a remote computer, or run entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user computer by any network, including a local area network (LAN) or wide area network (WAN), or can be connected to an external computer (for example, via the Internet using an Internet service provider).

[0064] It should be understood that the various forms of flows described above can be rearranged, added, or deleted. For example, each step described in this application may be performed in parallel, sequentially, or in a different order, as long as the technical solutions disclosed herein achieve the desired results.

[0065] The embodiments described above are not intended to limit the scope of protection of this application. As those skilled in the art will see, various modifications, combinations, partial combinations, and substitutions can be made depending on the design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application are all included within the scope of protection of this application.

Claims

1. A method for scaling the chest impact response channel of an automotive crash dummy, performed by a processor, The steps include obtaining the chest mass and scaling factors in each direction of a car crash dummy, A step of constructing a collision system and determining operating parameters, wherein the operating parameters are the mass m of the pendulum. １ , dummy chest mass m ２ Initial velocity of the pendulum v ０ , relative velocity v when the pendulum separates from the dummy chest ｆ , dummy chest compression amount u(t) at time t, dummy chest compression velocity v(t) at time t, dummy chest composite acceleration a(t) at time t, equivalent stiffness K Ｅ , equivalent viscosity C Ｅ , a step including rib assembly parameters, A step of determining the relationship between mechanical parameters and operating condition parameters based on the collision system, wherein the mechanical parameters include inertial force F and chest compression amount D. A step of determining the scaling coefficient of the mechanical parameter based on the scaling coefficient and the relationship, The steps include determining the chest impact response channel of the target dummy based on the scaling coefficient of the mechanical parameters, the basic physical characteristic parameter values ​​of the reference dummy, the basic physical characteristic parameter values ​​of the target dummy, and the chest impact response channel of the reference dummy, A method for scaling the chest impact response channel of a car crash dummy, characterized by including the following:

2. The chest mass and scaling coefficients in each direction of the aforementioned automobile crash dummy are: and in the formula, R ｍ２ is the scaling coefficient of the chest mass, λ ｘ is the scaling coefficient in the depth direction of the chest, λ ｙ is the scaling coefficient in the width direction of the chest, λ ｚ is the scaling coefficient in the height direction of the chest, (TBW) Ｓ is the chest mass of the target dummy, (TBW) Ｈ is the chest mass of the reference dummy, (CT) Ｓ is the chest depth of the target dummy, (CT) Ｈ is the chest depth of the reference dummy, (CW) Ｓ is the chest width of the target dummy, (CW) Ｈ is the chest width of the reference dummy, (CH) Ｓ is the chest height of the target dummy, (CH) Ｈ is the chest height of the reference dummy, (TW) Ｓ is the body weight of the target dummy, (TW) Ｈ is the body weight of the reference dummy, (TSH) Ｓ is the sitting height of the target dummy, (TSH) Ｈ is the sitting height of the reference dummy A method for scaling the chest impact response channel of an automobile crash dummy according to claim 1, characterized in that

3. The collision system includes two mass blocks, one spring, and one dashpot. A method for scaling the chest impact response channel of an automobile crash dummy according to claim 1, characterized in that

4. The dummy chest compression amount u(t), the dummy chest compression velocity v(t) at time t, and the dummy chest composite acceleration a(t) at time t are given by the following equations: Calculated by, In the formula, y １ (t) is the displacement of the pendulum at time t, y ２ (t) is the displacement of the dummy chest at time t, v １ (t) is the velocity of the pendulum at time t, v ２ (t) is the velocity of the dummy chest at time t, a １ (t) is the acceleration of the pendulum at time t, a ２ (t) is the acceleration of the dummy chest at time t. A method for scaling the chest impact response channel of an automobile crash dummy according to claim 1, characterized in that

5. The step of determining the relationship between the mechanical parameters and the operating condition parameters based on the collision system is: The steps include determining a system dynamics model based on the aforementioned collision system, The steps include determining the relationship between the mechanical parameters and the operating condition parameters based on the system dynamics model, system momentum conservation, system energy conservation, and system dissipation internal energy, A method for scaling the chest impact response channel of an automobile crash dummy according to claim 1, characterized by including the following:

6. The relationship between the aforementioned mechanical parameters and the aforementioned operating condition parameters is, In the equation, M and N are functions of the velocity loss coefficient e, respectively. The formula is, And, In the formula, E is the Young's modulus of the rib assembly, h is the height of the cross-section of the rib assembly, t is the thickness of the cross-section of the rib assembly, and r is the radius of the rib assembly. A method for scaling the chest impact response channel of an automobile crash dummy according to claim 1, characterized in that

7. The scaling factor for the aforementioned mechanical parameters is: And, In the formula, R Ｆ R is the scaling factor of the inertial force F. Ｄ R is the scaling factor for chest compression amount D. Ｋｅ Equivalent stiffness K Ｅ The scaling coefficient, R Ｍ R is the scaling coefficient of the function M. ｖ０ The initial velocity of the pendulum is v. ０ The scaling coefficient, R ｍ１ The mass of the pendulum is m. １ The scaling coefficient, R ｍ２ is the dummy chest mass m ２ The scaling coefficient, R ｅ R is the scaling factor of the velocity loss coefficient e. ｍｅ m is the sum of the pendulum and the dummy chest mass. ｅ The scaling factor of λ ｚ R is the scaling factor in the height direction of the chest. Ｎ is the scaling factor of the function N. A method for scaling the chest impact response channel of an automobile crash dummy according to claim 1, characterized in that

8. The step of determining the chest impact response channel of the target dummy based on the scaling coefficient of the mechanical parameters, the basic physical characteristic parameter values ​​of the reference dummy, the basic physical characteristic parameter values ​​of the target dummy, and the chest impact response channel of the reference dummy is as follows: The steps include determining the chest impact response limit of the target dummy based on the scaling coefficient of the mechanical parameters, the basic physical characteristic parameter values ​​of the reference dummy, the basic physical characteristic parameter values ​​of the target dummy, and the chest impact response channel of the reference dummy, A method for scaling the chest impact response channel of an automobile crash dummy according to any one of claims 1 to 7, comprising the step of determining the chest impact response channel of a target dummy based on the chest impact response limit value of the target dummy.

9. It includes at least one processor and at least one memory connected to the processor in a communicative manner, The memory stores instructions that can be executed by the processor, and the processor can perform the method according to any one of claims 1 to 8 by executing the instructions.

10. A computer-readable storage medium characterized in that the medium stores computer instructions for causing a computer to perform the method described in any one of claims 1 to 8.

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