Vehicle underbody scraping safety performance testing methods, devices, electronic equipment and media

Abstract

This application relates to the field of vehicle technology, and in particular to a method, apparatus, electronic device, and medium for testing the undercarriage scraping safety performance of a vehicle. The method includes: determining at least one test condition; controlling the vehicle under test to perform an undercarriage scraping test in each test condition, and collecting undercarriage structural mechanics data, undercarriage acceleration data, and battery pack data for each test condition, wherein the undercarriage acceleration data is acceleration perpendicular to the vehicle's direction to the ground; and generating performance test results for the vehicle under test based on the undercarriage structural mechanics data, undercarriage acceleration data, and battery pack data for each test condition. This solves the problems of low test condition coverage, lack of standardization, neglect of thermal runaway risk, and insufficient test condition coverage in related technologies, thereby improving safety.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, device, electronic device and medium for testing the safety performance of vehicle bottom scraping. Background Technology

[0002] The power batteries in electric vehicles are usually arranged in the middle of the chassis. This arrangement exposes the battery pack to the space under the vehicle. When passing over potholes or protruding obstacles, the battery pack is prone to being scratched, collided, or even punctured, which can lead to serious safety accidents such as battery short circuits and thermal runaway.

[0003] In the relevant technologies, two main approaches are adopted: (1) vehicle passability test, which mainly focuses on parameters such as the vehicle's minimum ground clearance, approach angle and departure angle; (2) simple static indentation test or low-speed sliding test.

[0004] However, due to the use of static or low-speed operating conditions, lack of unified standards for test parameters, neglect of battery system response, and single test conditions in related technologies, problems such as low operating condition fit, lack of standardized specifications, neglect of thermal runaway risk, and insufficient operating condition coverage urgently need to be solved. Summary of the Invention

[0005] This application provides a method, device, electronic device, and medium for testing the safety performance of vehicle bottom scraping, in order to solve the problems of low working condition fit, lack of standardization, neglect of thermal runaway risk, and insufficient working condition coverage in related technologies, thereby improving safety.

[0006] To achieve the above objectives, the first aspect of this application provides a method, apparatus, electronic device, and medium for testing the undercarriage scraping safety performance of a vehicle, comprising the following steps: Identify at least one test condition; The vehicle under test is controlled to perform a scraping test under each test condition, and the vehicle bottom structure mechanical data, bottom acceleration data and battery pack data are collected for each test condition. The bottom acceleration data is the acceleration perpendicular to the vehicle ground direction. The performance test results of the vehicle under test are generated based on the vehicle's underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition.

[0007] According to one embodiment of this application, generating the performance test results of the vehicle under test based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition includes: The degree of structural damage and thermal runaway results for each test condition were determined based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition. The safety evaluation level for each test condition is determined based on the degree of structural damage and the results of thermal runaway in each test condition. The performance test results are obtained based on the safety evaluation level of each test condition.

[0008] According to one embodiment of this application, after generating the performance test results of the vehicle under test based on the vehicle underside structural mechanics data, underside acceleration data, and battery pack data for each test condition, the method further includes: Based on the performance test results, optimization suggestions are generated for the vehicle under test; The optimization suggestions include at least one of the following: battery pack guard plate thickness suggestion, battery pack guard plate material selection suggestion, battery pack layout suggestion, and matching suspension system stiffness parameter suggestion.

[0009] According to one embodiment of this application, before controlling the vehicle under test to perform a scraping test in each test condition, the method further includes: The bottom of the vehicle under test is checked to see if it meets the preset structural integrity conditions. If the bottom of the vehicle under test does not meet the preset structural integrity conditions, an integrity warning will be issued until the bottom of the vehicle under test meets the preset structural integrity conditions.

[0010] According to one embodiment of this application, determining at least one test condition includes: The parameters of the obstacle are determined, including the obstacle type and the obstacle material. The obstacle type includes hemispherical, wedge-shaped and cylindrical, and the obstacle material includes steel, aluminum, rubber and concrete. Determine the obstacle height, the drive mode of the vehicle under test, the test speed, and the load status; The at least one test condition is determined based on the obstacle height, the driving mode of the vehicle under test, the test speed, and the load status.

[0011] The vehicle undercarriage scraping safety performance testing method proposed in this application involves controlling the vehicle under test to perform undercarriage scraping tests under defined test conditions and collecting test data. Performance test results for the vehicle under test are then generated based on the test data. This solves the problems of low working condition fit, lack of standardization, neglect of thermal runaway risk, and insufficient working condition coverage in related technologies, thereby improving safety.

[0012] To achieve the above objectives, a second aspect of this application provides a vehicle underbody scraping safety performance testing device, comprising: Identify the module and at least one test condition; The data acquisition module controls the vehicle under test to perform a scraping test under each test condition, and collects the vehicle's bottom structural mechanical data, bottom acceleration data and battery pack data under each test condition. The bottom acceleration data is the acceleration perpendicular to the vehicle's ground direction. The testing module generates performance test results for the vehicle under test based on the vehicle's underside structural mechanics data, underside acceleration data, and battery pack data for each test condition.

[0013] According to one embodiment of this application, the testing module is specifically used for: The degree of structural damage and thermal runaway results for each test condition were determined based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition. The safety evaluation level for each test condition is determined based on the degree of structural damage and the results of thermal runaway in each test condition. The performance test results are obtained based on the safety evaluation level of each test condition.

[0014] According to one embodiment of this application, after generating the performance test results of the vehicle under test based on the vehicle underside structural mechanics data, underside acceleration data, and battery pack data for each test condition, the test module is further configured to: Based on the performance test results, optimization suggestions are generated for the vehicle under test; The optimization suggestions include at least one of the following: battery pack guard plate thickness suggestion, battery pack guard plate material selection suggestion, battery pack layout suggestion, and matching suspension system stiffness parameter suggestion.

[0015] According to one embodiment of this application, before controlling the vehicle under test to perform a bottom scraping test under each test condition, the data acquisition module further includes: The bottom of the vehicle under test is checked to see if it meets the preset structural integrity conditions. If the bottom of the vehicle under test does not meet the preset structural integrity conditions, an integrity warning will be issued until the bottom of the vehicle under test meets the preset structural integrity conditions.

[0016] According to one embodiment of this application, the determining module is specifically used for: The parameters of the obstacle are determined, including the obstacle type and the obstacle material. The obstacle type includes hemispherical, wedge-shaped and cylindrical, and the obstacle material includes steel, aluminum, rubber and concrete. Determine the obstacle height, the drive mode of the vehicle under test, the test speed, and the load status; The at least one test condition is determined based on the obstacle height, the driving mode of the vehicle under test, the test speed, and the load status.

[0017] The vehicle undercarriage scraping safety performance testing device proposed in this application controls the vehicle under test to perform undercarriage scraping tests under defined test conditions and collects test data. Based on the test data, it generates performance test results for the vehicle under test. This solves the problems of low working condition fit, lack of standardization, neglect of thermal runaway risk, and insufficient working condition coverage in related technologies, thereby improving safety.

[0018] To achieve the above objectives, a third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle bottom scraping safety performance test method as described in the above embodiments.

[0019] To achieve the above objectives, a fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the vehicle bottom scraping safety performance test method as described in the above embodiments.

[0020] To achieve the above objectives, a fifth aspect of this application provides a computer program product, which, when executed by a processor, implements the vehicle bottom scraping safety performance test method as described in the above embodiments.

[0021] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0022] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart of a vehicle bottom scraping safety performance test method according to an embodiment of this application; Figure 2 This is a block diagram of a vehicle bottom scraping safety performance testing device provided according to an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0023] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0024] The following describes, with reference to the accompanying drawings, a method, apparatus, electronic device, and medium for testing the safety performance of vehicle bottom scraping according to embodiments of this application. First, the method for testing the safety performance of vehicle bottom scraping according to embodiments of this application will be described with reference to the accompanying drawings.

[0025] Figure 1 This is a flowchart of a vehicle bottom scraping safety performance test method according to an embodiment of this application.

[0026] like Figure 1 As shown, the test method for the vehicle's bottom scraping safety performance includes the following steps: In step S101, at least one test condition is determined.

[0027] Optionally, in some embodiments, determining at least one test condition includes: determining the parameters of an obstacle, the obstacle parameters including obstacle type and obstacle material, the obstacle type including hemispherical, wedge-shaped and cylindrical, the obstacle material including steel, aluminum, rubber and concrete; determining the obstacle height, the driving mode of the vehicle under test, the test vehicle speed and load status; and determining at least one test condition based on the obstacle height, the driving mode of the vehicle under test, the test vehicle speed and load status.

[0028] Among them, test conditions refer to a set of standardized and repeatable test parameters and environmental conditions that are pre-set to simulate the actual working scenarios or usage conditions of the target object.

[0029] Specifically, this application embodiment defines at least one test condition, which requires comprehensive consideration of multiple key parameters. This application embodiment requires setting up obstacles, which are fixed to the ground and whose tops need to be higher than the ground by a set height to simulate stones, speed bumps, road protrusions, etc. in actual roads. Force sensors or pressure membranes can be attached to the surface of the obstacles to measure the contact force distribution.

[0030] Furthermore, this application embodiment includes a modular obstacle quick-locking device, which can quickly replace the standardized connection and fixing structure of obstacles of different types, materials, and sizes, achieving obstacle disassembly and assembly in seconds, with replacement time not exceeding 30 seconds. The shapes of the obstacles include hemispherical, wedge-shaped, and cylindrical, covering 90% of real road excitations; the size range of the obstacles can be 10mm to 200mm in height; and the materials of the obstacles include steel, aluminum, rubber, and concrete.

[0031] Furthermore, embodiments of this application require determining the height of the obstacle, such as at least one of 30mm, 50mm, 80mm, and 120mm; determining the driving mode of the vehicle under test, such as at least one of constant speed passage, acceleration passage, and deceleration passage; determining the test speed of the vehicle under test, such as at least one of 20km / h, 40km / h, 60km / h, and 80km / h; and determining the load state of the vehicle under test, such as at least one of empty, half-loaded, and fully loaded.

[0032] Based on the obstacle parameters, obstacle height, drive mode of the vehicle under test, test speed of the vehicle under test, and load status of the vehicle under test determined above, at least one test condition that meets the test requirements is determined, and each test condition is repeated at least 3 times to ensure data repeatability.

[0033] In step S102, the vehicle under test is controlled to perform a scraping test under each test condition, and the vehicle bottom structure mechanical data, bottom acceleration data and battery pack data of the vehicle under test under each test condition are collected. The bottom acceleration data is the acceleration perpendicular to the vehicle ground direction.

[0034] Specifically, a driver or autonomous driving system controls the vehicle under test to pass through obstacles under defined test conditions. For example, an autonomous driving robot is used to perform high-precision closed-loop control of the vehicle's speed, with a speed control error not exceeding ±1 km / h. This autonomous driving robot includes a centering and guiding mechanism to ensure that the vehicle accurately passes through obstacles along a preset trajectory, with a lateral offset error controlled within ±20 mm. Furthermore, during the test, mechanical data of the vehicle's underbody structure is simultaneously collected, including stress, strain, and contact force data of load-bearing components such as chassis longitudinal beams, cross beams, and battery pack protective bottom plates; underbody acceleration data perpendicular to the ground direction of the vehicle under test is collected; and battery pack operating status data is collected, including battery pack strain, cell voltage changes, temperature, and real-time monitoring data from the battery management system. Furthermore, a high-speed camera system records the deformation process at the moment of contact between the underbody and the obstacle. The high-speed camera system is synchronized with GPS (Global Positioning System) at the nanosecond level to achieve precise time alignment between visual image data and positioning data during the test, with a time synchronization error controlled within ±50 ns.

[0035] Furthermore, before conducting the scraping test, this embodiment of the application needs to record basic parameters such as the curb weight, wheelbase, minimum ground clearance, and battery pack installation position and dimensions of the vehicle under test. Temperature, voltage, strain, and acceleration sensors are placed at key locations inside the battery pack to achieve real-time monitoring and data acquisition of multi-dimensional physical quantities of the battery pack during the test. High-speed camera equipment is installed at preset points in the test area to record the structural dynamic deformation characteristics and contact state during the scraping process between the vehicle's bottom and the obstacle. A standardized test site is planned and constructed, including functional zones such as a straight-line acceleration section, an obstacle placement area, and a braking buffer zone, to ensure that the vehicle under test can stably reach the test speed and pass through the target obstacle, while ensuring safety and controllability throughout the test. This embodiment of the application is also equipped with 32 BNC (Bayonet Neill-Concelman) interfaces, which can simultaneously connect test components such as strain gauges, acceleration sensors, and force sensors to achieve synchronous acquisition of test data. The interface housing adopts a waterproof and sealed design, allowing stable operation in complex outdoor environments such as rain and dust.

[0036] In step S103, the performance test results of the vehicle under test are generated based on the vehicle bottom structure mechanical data, bottom acceleration data and battery pack data for each test condition.

[0037] Optionally, in some embodiments, the performance test results of the vehicle under test are generated based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition, including: determining the degree of structural damage and thermal runaway results for each test condition based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition; obtaining the safety evaluation level for each test condition based on the degree of structural damage and thermal runaway results for each test condition; and obtaining the performance test results based on the safety evaluation level for each test condition.

[0038] Among them, the degree of structural damage refers to the quantitative indicators of the deformation, stress accumulation, and component failure of the load-bearing structure at the bottom of the vehicle under the impact of scraping. Thermal runaway refers to the irreversible failure process in which the battery system, when subjected to triggering factors such as mechanical impact, electrical short circuit, and high temperature, causes the internal heat generation rate to continuously exceed the heat dissipation rate, resulting in the continuous accumulation of heat and triggering a chain exothermic reaction, ultimately leading to a sharp rise in battery temperature, structural damage, or even fire and explosion.

[0039] Specifically, after the undercarriage scraping test, this embodiment of the application checks whether cracks, deformations, or perforations appear on the bottom of the vehicle, and whether the battery pack experiences displacement, leakage, smoke, or fire. After collecting test data, this embodiment of the application establishes a bottom structure response database, extracts key parameters such as maximum acceleration, maximum strain, and maximum contact force, and, based on the temperature change curve of the battery pack during the test, determines whether the battery shows signs of impending thermal runaway by monitoring key indicators such as the temperature rise rate (e.g., temperature rise rate ≥ 1°C / s and / or voltage ≥ 5%). Based on this, and combining the degree of structural damage with the battery's dynamic response data, an undercarriage scraping safety evaluation level system is established, such as dividing the safety evaluation level into four levels: Level-0 (no damage), Level-1 (minor deformation), Level-2 (structural failure), and Level-3 (thermal runaway). The threshold for determining level 0-3 damage is determined by measurable structural indentation depth and residual bolt preload, eliminating the subjectivity of manual evaluation and ensuring the repeatability and comparability of test results. This embodiment of the application obtains performance test results based on the safety evaluation level.

[0040] Therefore, this application provides a test method for the bottom scraping test of electric vehicles, which can simulate the real scenario of the bottom of the vehicle scraping or colliding with obstacles under different driving conditions, evaluate the impact resistance of the bottom structure and the safety of the battery pack, and solve the problems of unrealistic test conditions, incomplete evaluation indicators and lack of standardized procedures in related technologies.

[0041] Furthermore, in order to improve the vehicle's bottom scratch resistance and battery safety, after generating the performance test results of the vehicle to be tested, this application embodiment generates optimization suggestions based on the results.

[0042] Optionally, in some embodiments, after generating the performance test results of the vehicle under test based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition, the method further includes: generating optimization suggestions for the vehicle under test based on the performance test results; wherein the optimization suggestions include at least one of the following: battery pack guard plate thickness suggestion, battery pack guard plate material selection suggestion, battery pack placement suggestion, and matching suspension system stiffness parameter suggestion.

[0043] Specifically, this application embodiment compares the collected test data with the simulation model to invert the force transmission path and stress distribution characteristics of the underside of the vehicle under test during the bottoming-out impact process, thereby optimizing the design of the underside protective structure of the vehicle under test. This application embodiment summarizes the test data, images, videos, and sensor records during the testing process to form a complete test data archive. Based on this, a test report is written including the test objective, test method, test process, test results, conclusions, and improvement suggestions. Furthermore, this application embodiment provides optimization suggestions based on the structural performance damage observed during the test. These optimization suggestions include at least one of the following: recommendations for battery pack guard plate thickness, battery pack guard plate material selection, battery pack placement, and matching suspension system stiffness parameters.

[0044] This enabled the test vehicle to improve its performance from passive protection to active avoidance, thereby enhancing the safety of vehicle use.

[0045] Furthermore, in order to ensure the accuracy of the undercarriage test results, the vehicle to be tested needs to be inspected before the test is conducted.

[0046] Optionally, in some embodiments, before controlling the vehicle under test to perform a bottom scraping test under each test condition, the method further includes: detecting whether the bottom of the vehicle under test meets a preset structural integrity condition; if the bottom of the vehicle under test does not meet the preset structural integrity condition, an integrity warning is issued until the bottom of the vehicle under test meets the preset structural integrity condition.

[0047] The preset structural integrity conditions can be user-defined conditions, conditions obtained through a limited number of experiments, or conditions obtained through a limited number of computer simulations. Integrity warning refers to an automatic notification and alarm mechanism that is triggered when the detection results do not meet the preset structural integrity conditions.

[0048] Specifically, before testing, this embodiment of the application requires checking the integrity of the bottom structure of the vehicle to be tested, and conducting a scraping test on the vehicle without any prior damage. If the test results show that there are non-compliance items such as structural cracks, plastic deformation, loose bolts, or missing protective components, an integrity warning is triggered. The scraping test can only be started after targeted repairs are completed and the bottom structure is confirmed to meet the preset conditions through retesting.

[0049] This avoids interference with test results due to initial structural defects in the vehicle under test, ensuring the consistency of initial conditions and the accuracy of test results in the undercarriage scraping test.

[0050] Therefore, through dynamic real-vehicle tests, the bottom scraping process of vehicles under different speeds and obstacle conditions is realistically reproduced; comprehensive data from multiple dimensions such as structure, mechanics, heat, and electricity are collected to fully assess bottom safety; a unified test preparation, execution, and evaluation system is established to improve test comparability and repeatability; the risk of battery pack thermal runaway is included in the core indicators of bottom scraping test evaluation; data and methodological support is provided for the formulation of national or industry standards for electric vehicle bottom protection; and the test data feedback guides the optimization design of the vehicle and battery pack structure to improve safety.

[0051] To help those skilled in the art to further understand the vehicle bottom scraping safety performance test method proposed in this application, the following description is provided in conjunction with specific embodiments.

[0052] For example, the preparations before the test are as follows: The vehicle to be tested is a pure electric SUV (Electric Sport Utility Vehicle) with a curb weight of 1950kg, a battery pack capacity of 70kWh, located in the middle of the chassis, and a minimum ground clearance of 150mm; the obstacle is a steel hemisphere with a diameter of 100mm and a height of 80mm, fixed to a concrete surface; the vehicle to be tested travels at a speed of 40km / h, passing over the obstacle at a constant speed, with no load; one triaxial acceleration sensor is placed at the bottom, middle, and rear of the battery pack, four strain gauges are placed on the battery pack shell, and six thermocouples are placed on the surface of the battery mold; a voltage detection module is connected to the BMS (Battery Management System) communication interface.

[0053] The test conditions involved the vehicle accelerating from a standstill to 40 km / h and maintaining a constant speed while traversing obstacles, entirely controlled by an autonomous driving robot to ensure speed accuracy within ±1 km / h. The test results were as follows: a slight dent appeared on the underbody protection plate of the vehicle; the maximum acceleration was 18g; the maximum temperature rise of the battery pack was 3.2°C; no voltage abnormalities were observed; and the safety rating was determined to be Level-1.

[0054] The test conditions were as follows: vehicle speed 80 km / h, obstacle height 120 mm, wedge-shaped steel material used to simulate protruding stones on the road surface. Test results showed: significant deformation of the bottom longitudinal beam, scratches on the battery pack casing, maximum acceleration of 42g, local temperature rise rate of 0.8°C / s, no thermal runaway, classified as Level-2. The recommended test is to add an aluminum alloy protective plate to the bottom of the battery pack, increasing its thickness from 1.5 mm to 3 mm.

[0055] The test condition involved loading the test vehicle to its maximum gross weight of 2300 kg, approaching an obstacle at 60 km / h, and decelerating to 30 km / h to pass it, simulating an emergency deceleration scenario encountered by the driver. The test results showed that due to the increased load, the impact force on the bottom increased, causing the rear suspension to compress and reducing the minimum ground clearance by 20 mm. The rear of the battery pack came into contact with the obstacle, resulting in slight displacement, and the BMS reported a fault code. The recommended solution is to optimize the suspension travel limit design.

[0056] The vehicle undercarriage scraping safety performance testing method proposed in this application involves controlling the vehicle under test to perform an undercarriage scraping test under defined test conditions and collecting test data. Performance test results for the vehicle under test are then generated based on the test data. This solves the problems of low working condition fit, lack of standardization, neglect of thermal runaway risk, and insufficient working condition coverage in related technologies, thereby improving safety. Next, referring to the accompanying drawings, a vehicle bottom scraping safety performance testing device according to an embodiment of this application is described.

[0057] Figure 2 This is a block diagram of a vehicle bottom scraping safety performance testing device according to an embodiment of this application.

[0058] like Figure 2 As shown, the vehicle bottom scraping safety performance testing device 10 includes: a determination module 100, a data acquisition module 200, and a testing module 300.

[0059] Identify module 100 and determine at least one test condition; The data acquisition module 200 controls the vehicle under test to perform a scraping test under each test condition, and collects the vehicle's bottom structural mechanical data, bottom acceleration data and battery pack data under each test condition. The bottom acceleration data is the acceleration perpendicular to the vehicle's ground direction. The test module 300 generates performance test results for the vehicle under test based on the vehicle's underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition.

[0060] According to one embodiment of this application, the test module 300 is specifically used for: The degree of structural damage and thermal runaway results for each test condition were determined based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition. The safety evaluation level for each test condition is determined based on the degree of structural damage and thermal runaway results for each test condition. Performance test results are obtained based on the safety evaluation level of each test condition.

[0061] According to one embodiment of this application, after generating performance test results for the vehicle under test based on the vehicle underside structural mechanics data, underside acceleration data, and battery pack data for each test condition, the test module 300 is further configured to: Based on the performance test results, optimization suggestions are generated for the vehicle under test; The optimization recommendations include at least one of the following: recommendations for battery pack guard plate thickness, recommendations for battery pack guard plate material selection, recommendations for battery pack placement, and recommendations for matching suspension system stiffness parameters.

[0062] According to one embodiment of this application, before controlling the vehicle under test to perform a scraping test under each test condition, the data acquisition module 200 further includes: Check whether the bottom of the vehicle under test meets the preset structural integrity conditions; If the bottom of the vehicle under test does not meet the preset structural integrity conditions, an integrity warning will be issued until the bottom of the vehicle under test meets the preset structural integrity conditions.

[0063] According to one embodiment of this application, the determining module 100 is specifically used for: Determine the parameters of the obstacles, including obstacle type and obstacle material. Obstacle types include hemispherical, wedge-shaped and cylindrical, and obstacle materials include steel, aluminum, rubber and concrete. Determine the obstacle height, the drive method of the vehicle under test, the test speed, and the load status; At least one test condition is determined based on the obstacle height, the driving mode of the vehicle under test, the test speed, and the load status.

[0064] It should be noted that the foregoing explanation of the vehicle bottom scraping safety performance test method embodiment also applies to the vehicle bottom scraping safety performance test device of this embodiment, and will not be repeated here.

[0065] The vehicle undercarriage scraping safety performance testing device proposed in this application controls the vehicle under test to perform undercarriage scraping tests under defined test conditions and collects test data. Based on the test data, it generates performance test results for the vehicle under test. This solves the problems of low working condition fit, lack of standardization, neglect of thermal runaway risk, and insufficient working condition coverage in related technologies, thereby improving safety.

[0066] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. The electronic device may include: The memory 301, the processor 302, and the computer program stored on the memory 301 and capable of running on the processor 302.

[0067] When the processor 302 executes the program, it implements the vehicle bottom scraping safety performance test method provided in the above embodiments.

[0068] Furthermore, electronic devices also include: Communication interface 303 is used for communication between memory 301 and processor 302.

[0069] The memory 301 is used to store computer programs that can run on the processor 302.

[0070] The memory 301 may include high-speed RAM (Random Access Memory) memory, and may also include non-volatile memory, such as at least one disk storage.

[0071] If the memory 301, processor 302, and communication interface 303 are implemented independently, then the communication interface 303, memory 301, and processor 302 can be interconnected via a bus to complete communication between them. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0072] Optionally, in a specific implementation, if the memory 301, processor 302, and communication interface 303 are integrated on a single chip, then the memory 301, processor 302, and communication interface 303 can communicate with each other through an internal interface.

[0073] Processor 302 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention.

[0074] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described vehicle bottom scraping safety performance test method.

[0075] This application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps in any of the above embodiments of the vehicle bottom scraping safety performance test method.

[0076] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0077] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0078] Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this application.

Claims

1. A method for testing the underbody scraping safety performance of a vehicle, characterized by, include: Identify at least one test condition; The vehicle under test is controlled to perform a scraping test under each test condition, and the vehicle bottom structure mechanical data, bottom acceleration data and battery pack data are collected for each test condition. The bottom acceleration data is the acceleration perpendicular to the vehicle ground direction. The performance test results of the vehicle under test are generated based on the vehicle's underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition.

2. The method of claim 1, wherein, The process of generating performance test results for the vehicle under test based on the vehicle's underside structural mechanics data, underside acceleration data, and battery pack data for each test condition includes: The degree of structural damage and thermal runaway results for each test condition were determined based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition. The safety evaluation level for each test condition is determined based on the degree of structural damage and the results of thermal runaway in each test condition. The performance test results are obtained based on the safety evaluation level of each test condition.

3. The method according to claim 1 or 2, characterized in that, After generating the performance test results of the vehicle under test based on the vehicle underside structural mechanics data, underside acceleration data, and battery pack data for each test condition, the process also includes: Based on the performance test results, optimization suggestions are generated for the vehicle under test; The optimization suggestions include at least one of the following: battery pack guard plate thickness suggestion, battery pack guard plate material selection suggestion, battery pack layout suggestion, and matching suspension system stiffness parameter suggestion.

4. The method according to claim 1, characterized in that, Before controlling the vehicle under test to perform the undercarriage scraping test under each test condition, the following is also included: The bottom of the vehicle under test is checked to see if it meets the preset structural integrity conditions. If the bottom of the vehicle under test does not meet the preset structural integrity conditions, an integrity warning will be issued until the bottom of the vehicle under test meets the preset structural integrity conditions.

5. The method according to claim 1, characterized in that, Determining at least one test condition includes: The parameters of the obstacle are determined, including the obstacle type and the obstacle material. The obstacle type includes hemispherical, wedge-shaped and cylindrical, and the obstacle material includes steel, aluminum, rubber and concrete. Determine the obstacle height, the drive mode of the vehicle under test, the test speed, and the load status; The at least one test condition is determined based on the obstacle height, the driving mode of the vehicle under test, the test speed, and the load status.

6. A vehicle undercarriage scraping safety performance testing device, characterized in that, include: Identify the module and at least one test condition; The data acquisition module controls the vehicle under test to perform a scraping test under each test condition, and collects the vehicle's bottom structural mechanical data, bottom acceleration data and battery pack data under each test condition. The bottom acceleration data is the acceleration perpendicular to the vehicle's ground direction. The testing module generates performance test results for the vehicle under test based on the vehicle's underside structural mechanics data, underside acceleration data, and battery pack data for each test condition.

7. The apparatus according to claim 6, characterized in that, The test module is specifically used for: The degree of structural damage and thermal runaway results for each test condition were determined based on the vehicle underbody structural mechanics data, underbody acceleration data, and battery pack data for each test condition. The safety evaluation level for each test condition is determined based on the degree of structural damage and the results of thermal runaway in each test condition. The performance test results are obtained based on the safety evaluation level of each test condition.

8. An electronic device, characterized in that, include: The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the vehicle bottom scraping safety performance test method as described in any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the vehicle bottom scraping safety performance test method as described in any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the vehicle bottom scraping safety performance test method as described in any one of claims 1-5.

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