Method and device for testing low-temperature icing risk of vehicle, electronic equipment and medium

Abstract

The invention provides a method and device for testing the low-temperature icing risk of a vehicle, electronic equipment and a medium, and the method comprises the steps: controlling the vehicle to sequentially go through a high-pressure spraying stage, a dynamic driving stage and a low-temperature standing stage on a test bench; in the testing process, electrical safety performance data, mechanical function performance data, vehicle body sealing performance data and intelligent system sensor performance data of the vehicle are monitored in real time; based on the monitored electrical safety performance data, the mechanical function performance data, the vehicle body sealing performance data and the intelligent system sensor performance data, scores of the electrical safety performance, the mechanical function performance, the vehicle body sealing performance and the intelligent system sensor performance of the vehicle are calculated through a preset quantitative evaluation model; and generating a comprehensive evaluation result. Through the method, standardization of test conditions and comparability of results are realized, comprehensiveness and authenticity of the test are improved, and objectification of the evaluation process is realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicles, in particular to a vehicle low-temperature icing risk test method and device, electronic equipment and a medium. BACKGROUND

[0002] In winter, especially in cold regions, after washing, the vehicle is prone to icing due to residual water at low temperature, resulting in functional failure. Such problems frequently occur in the areas of vehicle door locks, charging port covers, and sensors of intelligent driving systems (such as cameras, laser radars, etc.), seriously affecting the normal use experience and driving safety of users, and becoming a high-frequency problem of user complaints.

[0003] Therefore, before the vehicle is shipped, the vehicle after washing usually needs to be tested for low-temperature icing risk. At present, the test of the low-temperature icing risk of the vehicle in the industry mainly relies on the traditional rain test or simple road test after washing in the open air. However, these existing methods have many limitations: first, the open-air test is completely subject to the natural environment, and the test conditions (such as temperature, humidity, and wind speed) are uncontrollable, resulting in that the test results cannot be reproduced, and there is a lack of comparability between the test data of different vehicle models or batches. Second, the traditional method can only simulate static water spraying or simple driving conditions, and cannot fully reproduce the complete chain of "immediately performing emergency acceleration, emergency braking, high-speed cruising, etc. after high-pressure washing, and then standing overnight in a low-temperature environment" in the real scene of the user. High-speed airflow and vehicle vibration can accelerate the penetration and retention of water into the sealed gap, and the subsequent low-temperature standing is the key link to cause icing and jam. The existing test methods generally ignore this multi-factor coupling failure mechanism. In addition, the judgment of the test results seriously depends on manual operation and subjective visual inspection, which is low in efficiency. SUMMARY

[0004] Therefore, the purpose of the present application is to provide a vehicle low-temperature icing risk test method, device, electronic equipment and medium to realize the standardization of test conditions and the comparability of results, improve the comprehensiveness and authenticity of the test, and realize the objectivity of the evaluation process.

[0005] In a first aspect, an embodiment of the present application provides a vehicle low-temperature icing risk test method, which comprises: After a test bench integrated with an environmental wind tunnel, a chassis dynamometer and a high-pressure spraying system is built, a vehicle is controlled to sequentially experience a high-pressure spraying stage, a dynamic driving stage and a low-temperature standing stage on the test bench; wherein in the high-pressure spraying stage, the vehicle is executed high-pressure spraying by the high-pressure spraying system; in the dynamic driving stage, the vehicle is executed to apply simulated road load by the chassis dynamometer; in the low-temperature standing stage, the environmental temperature is reduced to a target low temperature and maintained by the environmental wind tunnel; In the test process, the electrical safety performance data, the mechanical function performance data, the vehicle body sealing performance data and the intelligent system sensor performance data of the vehicle are monitored in real time; Based on the monitored electrical safety performance data, mechanical function performance data, vehicle body sealing performance data and intelligent system sensor performance data, the scores of the electrical safety performance, mechanical function performance, vehicle body sealing performance and intelligent system sensor performance of the vehicle are calculated respectively through a preset quantitative evaluation model, and a comprehensive evaluation result is generated.

[0006] In combination with the first aspect, the first possible implementation manner of the first aspect is provided, and in the high-pressure spraying stage, the high-pressure spraying system sprays the vehicle, comprising: In the high-pressure spraying stage, the matrix nozzle array in the high-pressure spraying system sprays the vehicle at an adjustable angle and timing, and the vehicle surface is dried after spraying to be free of visible water droplets; In the dynamic driving stage, the chassis dynamometer applies simulated road load to the vehicle, comprising: In the dynamic driving stage, the chassis dynamometer simulates road load containing acceleration, deceleration, braking, high-speed cruising and climbing conditions.

[0007] In combination with the first aspect, the second possible implementation manner of the first aspect is provided, and the real-time monitoring of the electrical safety performance data of the vehicle comprises: The high-voltage insulation sensor arranged in the high-voltage distribution box of the vehicle is used to monitor the insulation resistance value of the high-voltage positive and negative electrodes to the vehicle in real time; The digital humidity sensor arranged in the battery pack of the vehicle is used to monitor the first relative humidity value inside the battery pack in real time; The CAN bus data acquisition card is used to monitor the fault code state reported by the vehicle control unit in real time; The score of the electrical safety performance of the vehicle is calculated based on the monitored electrical safety performance data through a preset quantitative evaluation model, comprising: According to the value interval of the insulation resistance value, the insulation resistance score is determined, wherein the insulation resistance value and the insulation resistance score are positively correlated; According to the maximum value of the first relative humidity value in the entire test period, the first humidity score is determined, wherein the maximum value of the first relative humidity value and the first humidity score are negatively correlated; According to the fault code state, the fault code score is determined; The insulation resistance score, the first humidity score and the fault code score are calculated by a preset quantitative evaluation model to obtain a score of the electrical safety performance of the vehicle.

[0008] With reference to the first aspect, in a third possible implementation of the first aspect, the real-time monitoring of the mechanical function performance data of the vehicle comprises: For at least one target mechanical component, a real-time current waveform is collected by a current sensor connected in series to a motor drive circuit of the target mechanical component, the target mechanical component comprising a door handle and / or a charging port cover; A video stream of the mechanical action is recorded by a video acquisition device arranged near the target mechanical component; The score of the mechanical function performance of the vehicle is calculated by a preset quantitative evaluation model based on the monitored mechanical function performance data, and the score of the mechanical function performance of the vehicle is calculated by a preset quantitative evaluation model based on the monitored mechanical function performance data. The mechanical action success rate score is calculated by the following formula :

[0009] wherein, represents the total number of tests of the same target mechanical component; represents the determination result of the nth test; when the current waveform of the nth test is normal and the target mechanical component is identified to be popped to the position based on the video stream, = 1, otherwise 0; The mechanical action success rate score is taken as the score of the mechanical function performance.

[0010] With reference to the third possible implementation of the first aspect, in a fourth possible implementation of the first aspect, when the target mechanical component is a door handle, the real-time monitoring of the mechanical function performance data of the vehicle further comprises: The opening resistance of the vehicle door is measured by a strain gauge sensor installed in a door sealing strip of the vehicle door; The method further comprises: Based on the collected door lock current waveform, the average current and the peak current of the mechanical action are calculated; If the peak current is greater than a preset current threshold and the current waveform presents a flat top feature of stall, it is diagnosed that the door lock mechanism is frozen; If the opening resistance of the vehicle door is greater than a preset resistance threshold and the peak current is in a threshold interval where the current threshold is located, it is diagnosed that the sealing strip is frozen; If the average current is near 0A, it is diagnosed that there is an electronic fault; Otherwise, it is diagnosed that there is a mechanical jam.

[0011] With reference to the first aspect, the embodiments of the present application provide a fifth possible implementation manner of the first aspect, wherein the real-time monitoring of the vehicle body sealing performance data of the vehicle comprises: acquiring, by an image acquisition device arranged at a key area of the vehicle body, an image of a water-sensitive test paper pasted on the key area after testing; acquiring, by a borescope camera arranged inside a door trim panel and at a wire harness interface, an image of the area after testing; real-time monitoring, by a distributed digital humidity sensor arranged in a cavity of the door trim panel, under a seat, and in a spare tire groove of a trunk, of a second relative humidity value at each monitoring position; the calculating of the score of the vehicle body sealing performance of the vehicle based on the monitored vehicle body sealing performance data comprises: based on the image of the water-sensitive test paper after testing and a reference image before testing, identifying a discoloration area of the test paper caused by water ingress by an image processing algorithm, and calculating a pixel area proportion of the discoloration area; determining an image analysis score according to the pixel area proportion; wherein the pixel area proportion and the image analysis score are in a negative correlation relationship; acquiring a maximum value of the second relative humidity monitored by each distributed digital humidity sensor during the entire test period; for a monitoring position in a non-battery pack area, determining a second humidity score of the position according to the maximum value of the second relative humidity; wherein the maximum value of the second relative humidity and the second humidity score are in a negative correlation relationship; calculating the score of the vehicle body sealing performance according to the image analysis score and the second humidity score.

[0012] With reference to the first aspect, the embodiments of the present application provide a sixth possible implementation manner of the first aspect, wherein the real-time monitoring of the intelligent system sensor performance data of the vehicle comprises: for a laser radar on the vehicle, a standard corner reflector is arranged at a fixed distance in front of the vehicle, and the average number of point clouds on the standard corner reflector before and after washing the vehicle is recorded respectively; for a camera on the vehicle, after completing the high-pressure spraying stage, before the vehicle enters the dynamic driving stage, the camera is aligned with a point light source in a dark environment, and a camera image collected by the camera after washing the vehicle is acquired to analyze the pixel area of the glare area in the camera image; for an ultrasonic radar on the vehicle, a standard obstacle is arranged at a fixed distance in front of the ultrasonic radar, and the echo signal strength before and after washing the vehicle is recorded; For the millimeter wave radar on the vehicle, the number of times of reporting false targets in the real target area during the dynamic driving stage and the low-temperature standing stage after washing the vehicle is monitored to obtain the number of false alarms; The score of the intelligent system sensor performance of the vehicle is calculated through a preset quantitative evaluation model based on the monitored intelligent system sensor performance data, including: The ratio of the average point cloud quantity on the standard corner reflector before and after washing the vehicle is calculated, and the ratio is taken as the lidar score; The camera score is calculated by the following formula :

[0013] Wherein, K is a preset amplification coefficient; The ratio of the echo signal strength before and after washing the vehicle is calculated, and the ratio is taken as the ultrasonic radar score; The millimeter wave radar score is calculated by the following formula :

[0014] Wherein, C is a preset deduction coefficient; The lowest score among the lidar score, the camera score, the ultrasonic radar score and the millimeter wave radar score is taken as the score of the intelligent system sensor performance of the vehicle.

[0015] In a second aspect, the embodiments of the present application also provide a vehicle low-temperature icing risk testing device, comprising: A control module is configured to control the vehicle to sequentially experience a high-pressure spraying stage, a dynamic driving stage and a low-temperature standing stage on a test bench integrated with an environmental wind tunnel, a chassis dynamometer and a high-pressure spraying system after the test bench is built; wherein, in the high-pressure spraying stage, the high-pressure spraying system is used to perform high-pressure spraying on the vehicle; in the dynamic driving stage, the chassis dynamometer is used to apply simulated road load to the vehicle; and in the low-temperature standing stage, the environmental wind tunnel is used to reduce the environmental temperature to a target low temperature and maintain it; A monitoring module is configured to monitor the electrical safety performance data, the mechanical function performance data, the vehicle body sealing performance data and the intelligent system sensor performance data of the vehicle in real time during the test; A first calculation module is configured to calculate the scores of the electrical safety performance, the mechanical function performance, the vehicle body sealing performance and the intelligent system sensor performance of the vehicle through a preset quantitative evaluation model based on the monitored electrical safety performance data, the mechanical function performance data, the vehicle body sealing performance data and the intelligent system sensor performance data, and generate a comprehensive evaluation result.

[0016] In a third aspect, the embodiments of the present application further provide an electronic device, comprising a processor, a memory and a bus, the memory stores machine readable instructions executable by the processor, when the electronic device is running, the processor communicates with the memory through the bus, and the machine readable instructions are executed by the processor to perform the steps in any possible implementation manner of the first aspect.

[0017] In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium, the computer readable storage medium stores a computer program, when the computer program is run by a processor, the steps in any possible implementation manner of the first aspect are performed.

[0018] The vehicle low-temperature icing risk test method, device, electronic device and medium provided by the embodiments of the present application can convert the original uncontrollable outdoor test into a standardized process in the laboratory through the "test bench integrated with an environmental wind tunnel, a chassis dynamometer and a high-pressure spraying system" and "experiencing the high-pressure spraying stage, the dynamic driving stage and the low-temperature standing stage in sequence". This completely eliminates the influence of natural environmental fluctuations, ensures that the boundary conditions of each test are strictly consistent, and makes the test results highly repeatable and comparable, thereby providing a reliable data benchmark for vehicle comparison and design iteration. Moreover, through the multi-factor composite test process of "high-pressure spraying-dynamic driving-low-temperature standing", the complete user scenario leading to water penetration aggravation (dynamic driving) and residual water icing and stagnation (low-temperature standing) is actively simulated and reproduced. This sequential stress loading can more fully trigger potential failure modes (such as chronic leakage and icing) that are difficult to expose under single-factor testing, thereby more comprehensively and realistically evaluating the low-temperature icing risk of the vehicle. Moreover, through "real-time monitoring of various performance data" and "calculating the scores of various performances through a preset quantitative evaluation model", the traditional qualitative and subjective judgment relying on experience is changed into objective and quantitative scoring. This not only greatly improves the test efficiency and automation level, reduces the dependence on manual work, but also generates a quantitative comprehensive evaluation result, thereby providing clear and direct data support for design decisions, which is conducive to shortening the period of research and development testing and problem rectification.

[0019] In order to make the above objectives, characteristics and advantages of the present application more apparent, clear and easy to understand, the following preferred embodiments are specifically described below with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. It should be understood that the following drawings only show some of the embodiments of the present application, and therefore should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can also be obtained without creative labor.

[0021] Figure 1 A flowchart of a test method for vehicle low-temperature icing risk provided by an embodiment of the present application is shown; Figure 2 An integrated diagram of a test bench provided by an embodiment of the present application is shown; Figure 3 A structural schematic diagram of a test device for vehicle low-temperature icing risk provided by an embodiment of the present application is shown; Figure 4 A structural schematic diagram of an electronic device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of the present application.

[0023] In the winter vehicle washing scenario, there is a common problem of icing failure of vehicle door lock and intelligent driving system sensor caused by low temperature environment, and the vehicle door sealing strip is prone to icing failure caused by residual water leakage after washing, which seriously affects the normal use of the vehicle and user experience. However, there is no effective experimental verification method for the icing problem in the above specific scenario at present, which cannot provide reliable data support for the research and optimization of related anti-icing technology.

[0024] The main pain points of the prior art are as follows when performing performance testing of new energy vehicles after washing: 1) Test conditions are uncontrollable, and results are not comparable. Open-air testing is completely subject to the natural environment (ambient temperature, humidity, wind speed). The test results, especially in new energy vehicles, cannot be reproduced and have poor repeatability. There is a lack of comparability between test data of different models and different batches, and it is difficult to make scientific comparisons.

[0025] 2) The working condition simulation is not sufficient, and the key risks are missed. Traditional methods can only simulate static water spraying and cannot reproduce "sudden acceleration and deceleration, emergency braking, long uphill and downhill, high-speed cruising, and frequent start comprehensive road cycle" These harsh user scenarios. High-speed airflow can exacerbate the penetration and retention of moisture into the sealing gap, which is the core reason for chronic leakage. According to existing test data, this risk point has not been mentioned in existing tests.

[0026] 3) Unable to simulate low-temperature icing conditions. Existing technology cannot perform car washing tests in low-temperature environments, completely ignoring the significant functional failure risk of door, charging cover plate, sensor, and other mechanisms due to residual water icing after washing in cold regions. In particular, the inability to open the door is a high-frequency problem for user complaints.

[0027] 4) Lack of in-depth monitoring of intelligent networked vehicles. Traditional methods lack real-time monitoring of new energy vehicle high-voltage systems (insulation resistance, battery pack internal humidity) throughout the journey, making it impossible to quantify and assess electrical safety risks. It also ignores the performance degradation of intelligent vehicle sensors (cameras, laser radars, ultrasonic radars, and millimeter wave radars) after washing.

[0028] 5) Low efficiency and strong subjectivity. It relies heavily on manual operation and subjective visual inspection, which is time-consuming and labor-intensive. For hidden areas such as interior panel interiors and wire harness interfaces, problems can only be found after disassembly, making it impossible to locate the leakage point in real time, resulting in extremely low problem troubleshooting efficiency and prolonged development cycle.

[0029] 6) Lack of quantitative evaluation standards. The existing technology's evaluation of results is usually qualitative (such as "slight water ingress" and "functional failure") rather than quantitative. There is a lack of a unified and scientific quantitative evaluation system to determine "how good is good and how bad is bad", resulting in ambiguous standards and complete reliance on the experience of test personnel.

[0030] In summary, the existing technology has the following core pain points when verifying the car washing performance of new energy vehicles, especially intelligent networked and hybrid vehicles: uncontrollable, insufficient, not comprehensive, low efficiency, and strong subjectivity. These pain points make it impossible for traditional testing methods to effectively expose the potential quality risks faced by modern vehicles in complex use environments, so a new, scientific, and quantifiable testing and evaluation method is needed to replace it.

[0031] Based on this, the embodiment of the application provides a vehicle low-temperature icing risk test method, device, electronic equipment and medium, which are described below through embodiments.

[0032] To facilitate the understanding of the present embodiment, first, a vehicle low-temperature icing risk test method disclosed by the present embodiment is introduced in detail. As shown in the figure Figure 1 , the following steps are included: S101: After the test bench integrated with the environmental wind tunnel, the chassis dynamometer and the high-pressure spraying system is built, the vehicle is controlled to sequentially experience the high-pressure spraying stage, the dynamic driving stage and the low-temperature standing stage on the test bench; wherein, in the high-pressure spraying stage, the high-pressure spraying system is used to perform high-pressure spraying on the vehicle; in the dynamic driving stage, the chassis dynamometer is used to apply simulated road load to the vehicle; in the low-temperature standing stage, the environmental wind tunnel is used to reduce the environmental temperature to the target low temperature and maintain it; S102: During the test, the electrical safety performance data, the mechanical function performance data, the vehicle body sealing performance data and the intelligent system sensor performance data of the vehicle are monitored in real time; S103: Based on the monitored electrical safety performance data, mechanical function performance data, vehicle body sealing performance data and intelligent system sensor performance data, the scores of the electrical safety performance, mechanical function performance, vehicle body sealing performance and intelligent system sensor performance of the vehicle are calculated respectively through the preset quantitative evaluation model, and a comprehensive evaluation result is generated.

[0033] In step S101, as shown in the figure Figure 2 , the test bench is integrated with the environmental wind tunnel, the chassis dynamometer and the high-pressure spraying system, wherein the environmental wind tunnel can control the environmental temperature (-30℃~+50℃), humidity and wind speed (simulate high-speed driving, 0-200km / h simulation); the chassis dynamometer simulates the driving of the vehicle under various road conditions (such as acceleration, braking, climbing, etc.); the high-pressure spraying system can adjust the water pressure, angle and water temperature to simulate the real car washing process.

[0034] Among them, the high-pressure spraying system and the "high pressure" in the high-pressure spraying stage refer to the spraying pressure that can simulate the working state of a commercial car washer and is sufficient to make the water flow overcome the surface tension of the vehicle and penetrate into the potential sealing gap. The pressure of the high-pressure spraying system is adjustable, and in a preferred embodiment, a pressure of 17 MPa is used for testing to effectively simulate a high-pressure car washing environment.

[0035] In the low-temperature settling stage, "low temperature" refers to the ambient temperature at which residual moisture on the vehicle's surface and in internal gaps undergoes a freezing phase change, leading to mechanical malfunction or electrical degradation. The target low temperature for the low-temperature settling stage is set below the freezing point of water. In a preferred embodiment, the temperature for the low-temperature settling stage is set between -20°C and -30°C to accelerate the freezing process and effectively trigger the malfunction.

[0036] During the test, the vehicle sequentially underwent a high-pressure spraying phase, a dynamic driving phase, and a low-temperature static phase. In the high-pressure spraying phase, the wind tunnel central controller preset parameters such as water pressure (adjustable 17MPa), water temperature (18℃), spray angle (adjustable 45°), and nozzle speed (16.5 / min) to control the high-pressure spraying system, simulating a car wash, followed by drying. In the dynamic driving phase, a chassis dynamometer applied simulated road loads to the vehicle, simulating urban, highway, and hill-climbing road conditions. In the low-temperature static phase, the environmental wind tunnel lowered the ambient temperature to a target low and maintained it, rapidly cooling to -20℃ to -30℃ to simulate overnight freezing. Each test only takes 10 hours, reducing the testing cycle by more than 50% compared to traditional road tests.

[0037] In one possible implementation, during the high-pressure spraying stage, the vehicle is sprayed at an adjustable angle and timing using a matrix nozzle array in the high-pressure spraying system, and the vehicle exterior is dried until no visible water droplets remain after spraying; during the dynamic driving stage, a chassis dynamometer is used to simulate road loads including acceleration and deceleration, braking, high-speed cruising, and hill climbing conditions.

[0038] In this embodiment, a matrix nozzle array is used to spray various parts of the vehicle at a 45-degree angle and different timings (from front to back, from left to right, or from back to front, from right to left). Specific parts (such as the front of the vehicle and the door sills of SUV models) are washed with special attention. After spraying, the vehicle is wiped dry with a cloth to simulate (manual car washing) or dried with high-temperature warm air in a wind tunnel laboratory to simulate fully automatic car washing conditions. The standard is that no water droplets are visible on the surface.

[0039] After the car was washed, during the dynamic driving phase, the chassis dynamometer simulated road loads, including: custom driving conditions (including acceleration and deceleration, urban driving conditions, high-speed driving conditions, braking conditions), and hill climbing conditions.

[0040] During the low-temperature settling phase, the temperature is uniformly reduced to the set target low temperature (-20℃ to -30℃) within 1 hour. The low-temperature settling phase needs to be maintained for a certain period of time (e.g., 4 hours) to ensure that the residual moisture has enough time to freeze, thereby triggering the malfunction.

[0041] In this embodiment, the combination of multiple factors increases the potential fault detection rate to 95% (compared to only 65% ​​for traditional methods).

[0042] Comprehensive upgrade of vehicle model coverage: suitable for BEV, PHEV, HEV and intelligent networked vehicle series model working condition coverage: covering high-pressure car washing, urban driving, high-speed driving, and real use scenarios such as low-temperature standing after car washing.

[0043] In steps S102 and S103, the test method mainly monitors and quantitatively evaluates the performance of the following four aspects: electrical safety performance, mechanical function performance, vehicle body sealing performance, and intelligent system sensor performance.

[0044] Next, the analysis of electrical safety performance is described in detail.

[0045] In one possible implementation, when performing step S102 to monitor the electrical safety performance data of the vehicle in real time, the following steps can be performed: The high-voltage insulation sensor arranged in the high-voltage distribution box of the vehicle is used to monitor the insulation resistance value of the high-voltage positive and negative electrodes to the vehicle in real time; The digital humidity sensor arranged in the battery pack of the vehicle is used to monitor the first relative humidity value inside the battery pack in real time; The CAN bus data acquisition card is used to monitor the fault code state reported by the vehicle control unit in real time.

[0046] In this embodiment, the high-voltage insulation sensor is installed in the high-voltage distribution box to detect the insulation resistance value (unit: MΩ) of the high-voltage positive and negative electrodes to the vehicle in real time. The digital humidity sensor is arranged in the core area of the battery pack to detect the first relative humidity value (%RH). The CAN bus data acquisition card mainly monitors whether the vehicle has a fault code.

[0047] When performing step S103 to calculate the score of the electrical safety performance of the vehicle based on the monitored electrical safety performance data through the preset quantitative evaluation model, the following steps can be performed: According to the value interval of the insulation resistance value, the insulation resistance score is determined: the insulation resistance value and the insulation resistance score are positively correlated; the higher the insulation resistance value, the higher the insulation resistance score; the lower the insulation resistance value, the lower the insulation resistance score; According to the maximum value of the first relative humidity value in the entire test period, the first humidity score is determined; wherein the maximum value of the first relative humidity value and the first humidity score are negatively correlated; the higher the maximum value of the first relative humidity value, the lower the first humidity score; the lower the maximum value of the first relative humidity value, the higher the first humidity score; According to the fault code state, the fault code score is determined; The insulation resistance score, the first humidity score and the fault code score are weighted and calculated by a preset quantitative evaluation model to obtain the score of the electrical safety performance of the vehicle.

[0048] In this embodiment, when the insulation resistance score Si is determined according to the value interval in which the insulation resistance value R is located, the following steps are specifically included: When the insulation resistance value R is greater than 500 MΩ, the insulation resistance score Si is 100 points; When 100 MΩ < the insulation resistance value R ≤ 500 MΩ, the insulation resistance score Si is 80 points; When 50 MΩ < the insulation resistance value R ≤ 100 MΩ, the insulation resistance score Si is 60 points; When the insulation resistance value R is less than or equal to 50 MΩ, the insulation resistance score Si is 0 point.

[0049] When the first humidity score Sh is determined according to the maximum value Hmax of the first relative humidity value in the entire test cycle, the following steps are included: When the maximum value Hmax of the first relative humidity value is less than or equal to 70% RH, the first humidity score Sh is 100 points; When 70% RH < the maximum value Hmax of the first relative humidity value ≤ 75% RH, the first humidity score Sh is 80 points; When 75% RH < the maximum value Hmax of the first relative humidity value ≤ 80% RH, the first humidity score Sh is 60 points; When 80% RH < the maximum value Hmax of the first relative humidity value ≤ 85% RH, the first humidity score Sh is 40 points; When the maximum value Hmax of the first relative humidity value is greater than 85% RH, the first humidity score Sh is 0 point.

[0050] When the fault code score Sv is determined according to the fault code state, the following steps are included: Sv is a Boolean value, when there is no any fault code in the entire test cycle, the fault code score Sv is 100 points; when there is a historical fault code but no current fault code, the fault code score Sv is 70 points; when there is a current fault code, the fault code score Sv is 0 point.

[0051] When the insulation resistance score, the first humidity score and the fault code score are weighted and calculated by a preset quantitative evaluation model to obtain the score of the electrical safety performance of the vehicle, the following steps are included: The score Selec of the electrical safety performance of the vehicle is calculated by the following formula: Selec = 0.5 × Si + 0.3 × Sh + 0.2 × Sv Next, the mechanical function performance of the vehicle is described in detail.

[0052] In a possible implementation, when performing the step S102 of monitoring the mechanical function performance data of the vehicle in real time, the following steps can be specifically performed: For at least one target mechanical component, a real-time current waveform is collected by a current sensor in series with a motor drive circuit of the target mechanical component at a sampling frequency; the target mechanical component includes a door handle and / or a charging port cover; A video stream of the operation process is recorded by a video acquisition device arranged near the target mechanical component.

[0053] In this embodiment, a motor current Hall type sensor is in series with a motor drive circuit of a target mechanical component, a sampling frequency is 1KHZ, and a real-time current waveform is collected; a video acquisition device (such as a miniature high-definition camera) is arranged near the door handle and the charging port cover to record an operation video stream for monitoring, and this function is mainly used for evaluation and diagnosis of mechanical functions after low-temperature standing.

[0054] In a possible implementation, when performing the step S103 of calculating the score of the mechanical function performance of the vehicle based on the monitored mechanical function performance data by using a preset quantitative evaluation model, the following steps can be specifically performed: The mechanical operation success rate score is calculated by the following formula :

[0055] Wherein, represents the total number of tests of the same target mechanical component; is the determination result of the nth test; when the current waveform of the nth test is normal, and the target mechanical component is identified to be popped to the position based on the video stream, = 1, otherwise 0; The mechanical operation success rate score is taken as the score of the mechanical function performance.

[0056] In this embodiment, is a Boolean function, and returns 1 for the nth test success and returns 0 for the nth test failure, and the determination condition of success or failure is whether the current waveform is normal and whether the door handle is identified to be popped to the position or the charging cover is identified to be popped to the position.

[0057] In a possible implementation, when performing the step S102 of monitoring the mechanical function performance data of the vehicle in real time, the following steps can be specifically performed: The opening resistance of the vehicle door is measured by a strain gauge sensor installed in the door sealing strip.

[0058] In this embodiment, a strain gauge sensor (sealing strip resistance sensor) is installed in the door sealing strip to measure the opening resistance of the vehicle door.

[0059] The method can also be performed according to the following steps: Based on the collected door lock current waveform, the average current and peak current of the mechanical action are calculated; If the peak current is greater than the preset current threshold, and the current waveform presents a flat top feature, it is diagnosed as door lock mechanism icing; If the door opening resistance is greater than the preset resistance threshold, and the peak current is in the threshold interval where the current threshold is located, it is diagnosed as sealing strip icing; If the average current is near 0A, it is diagnosed as an electronic fault; Otherwise, it is diagnosed as mechanical jamming.

[0060] In this embodiment, when the door handle mechanical action fails, the intelligent diagnosis process is performed: Based on the collected door lock current waveform, the peak current Ipeak and average current Iavg of the action are calculated:

[0061]

[0062] If the peak current Ipeak is greater than the preset current threshold, and the current waveform presents a flat top feature, it is diagnosed as door lock mechanism icing; If the door opening resistance is greater than the preset resistance threshold, and the peak current Ipeak is approximately equal to the current threshold, it is diagnosed as sealing strip icing; If the average current Iavg is approximately equal to 0A, it is diagnosed as an electronic fault; Otherwise, it is diagnosed as mechanical jamming.

[0063] This function can determine that the fault positioning accuracy reaches the component level (can accurately locate to a specific sealing strip), and this process is applied in the intermediate inspection stage after low temperature standing.

[0064] In one possible implementation, when performing step S102 to monitor the vehicle body sealing performance data in real time, the following steps can be performed in particular: Through the image acquisition device arranged in the key area of the vehicle body, the image of the water-sensitive test paper pasted in the key area after testing is collected; Through the endoscope camera arranged inside the door trim and at the wire harness interface, the image of the area after testing is collected; Through the distributed digital humidity sensor arranged in the cavity of the door trim, under the seat and in the spare tire groove of the trunk, the second relative humidity value of each monitoring position is monitored in real time.

[0065] In this embodiment, an image acquisition device (such as a high-resolution industrial camera) is used to take pictures of the water-sensitive test paper and color development test paper pasted on the key areas, and an endoscope camera is used to check the internal parts of the door trim, wire harness interface and other invisible places.

[0066] The key areas include: around the door gap, door handle mounting slot / hole, joint between the window glass and door frame, around the trunk / sealing strip, front engine cover joint, front and rear lamp (headlight, taillight) and vehicle body mounting interface, chassis hole plug, wire harness through hole, wheel arch lining joint, charging port cover, front and rear windshield and vehicle body bonding, sunroof drain groove and drain pipe interface.

[0067] In a possible implementation, when the score of the vehicle body sealing performance is calculated based on the monitored vehicle body sealing performance data by a preset quantitative evaluation model in step S103, the following steps can be performed specifically: Based on the test image after the water-sensitive test paper and the reference image before the test, the color change area of the test paper caused by water ingress is identified by an image processing algorithm, and the pixel area ratio of the color change area is calculated; The image analysis score is determined according to the pixel area ratio; wherein the pixel area ratio and the image analysis score are negatively correlated; the higher the pixel area ratio, the lower the image analysis score; the lower the pixel area ratio, the higher the image analysis score; The maximum value of the second relative humidity monitored by each distributed digital humidity sensor during the entire test period is obtained; For the monitoring position of the non-battery pack area, the second humidity score of the position is determined according to the maximum value of the second relative humidity; wherein the maximum value of the second relative humidity and the second humidity score are negatively correlated; the greater the maximum value of the second relative humidity, the lower the second humidity score; the smaller the maximum value of the second relative humidity, the higher the second humidity score; The score of the vehicle body sealing performance is calculated according to the image analysis score and the second humidity score.

[0068] In this embodiment, when the color change area of the test paper caused by water ingress is identified by an image processing algorithm based on the test image after the water-sensitive test paper and the reference image before the test, and the pixel area ratio of the color change area is calculated, it includes: The image acquisition device (such as a high-resolution industrial camera) automatically captures the test paper image Iafter (test image) and the reference image Ibefore. Convert the image from RGB color space to HSV color space to better separate color information. Calculate the color change amount ΔE of each pixel point, and set a threshold Tcolor to generate a binary mask image Imask, where the white area represents color change (water leakage), and the black represents no color change: If the color change amount ΔE of the pixel point is greater than the set threshold Tcolor, the value at the pixel point in the binary mask image is 1; if the color change amount ΔE of the pixel point is less than or equal to the set threshold Tcolor, the value at the pixel point in the binary mask image is 0.

[0069] The pixel area ratio Aleak of the white area in the binary mask image Imask is calculated, that is, the pixel area ratio Aleak of the color change area is calculated.

[0070] In the determination of the image analysis score according to the pixel area ratio, it includes: When the pixel area ratio Aleak = 0, the image analysis score Ssealing = 100 points; When 0 < the pixel area ratio Aleak ≤ Ath1, the image analysis score Ssealing = 50 points (slight wetness); When Ath1 < the pixel area ratio Aleak ≤ Ath2, the image analysis score Ssealing = 20 points (with water droplets); When the pixel area ratio Aleak > Ath2, the image analysis score Ssealing = 0 points (obvious water accumulation); Wherein, Ath1 and Ath2 are area thresholds calibrated by testing, Ath1 < Ath2.

[0071] In the monitoring position of the non-battery pack area, the second humidity score of the position is determined according to the maximum value Hmax of the second relative humidity, which includes: When the maximum value Hmax of the second relative humidity is less than or equal to 85% RH, the second humidity score S(humidity) = 100 points; When 85% RH < the maximum value Hmax of the second relative humidity ≤ 90% RH, the second humidity score S(humidity) = 50 points; When the maximum value Hmax of the second relative humidity is greater than 90% RH, the second humidity score S(humidity) = 0 points.

[0072] By analyzing the change trend of H(t), the type of water source is determined. The humidity instantaneously rises after spraying, indicating direct water. The humidity slowly rises and slowly decreases in the high-speed blowing stage, indicating that the sealing strip is leaking. The humidity reading abnormally increases after low-temperature standing, indicating condensation.

[0073] In this embodiment, the score Sseal of the body sealing performance is calculated by the following formula: Sseal = 0.5 × Ssealing + 0.5 × S(humidity).

[0074] In a possible implementation, when the step S102 of monitoring the intelligent system sensor performance data of the vehicle in real time is performed, the following steps can be specifically performed: For the laser radar on the vehicle, a standard corner reflector is arranged at a fixed distance in front of the vehicle, and the average point cloud number on the standard corner reflector before and after washing the vehicle is recorded respectively; For the camera on the vehicle, after the high-pressure spraying stage is completed, the camera is aligned with a point light source in a dark environment before the vehicle enters the dynamic driving stage, and the camera image collected by the camera after washing the vehicle is collected to analyze the pixel area of the glare area in the camera image; For the ultrasonic radar on the vehicle, a standard obstacle is arranged at a fixed distance in front of the ultrasonic radar, and the echo signal strength before and after washing the vehicle is recorded; For the millimeter wave radar on the vehicle, the number of times that the millimeter wave radar reports a false target in a real target area is monitored during the dynamic driving stage and the low-temperature standing stage after washing the vehicle, and the number of false alarms is obtained.

[0075] In this embodiment, when testing the laser radar, the integrity of the point cloud number is mainly monitored, and therefore a standard corner reflector is placed at a fixed distance in front of the vehicle. Before washing the vehicle, the average point cloud number on the corner reflector is recorded as a reference value. After washing and low-temperature standing, the average point cloud number is recorded again under the same conditions.

[0076] When testing the camera on the vehicle, the image glare and the area ratio of the light spot are mainly observed. Therefore, after the lights in the wind tunnel test are turned off, the camera is aligned with a point light source in a dark environment. After washing, the image is collected. Through an image recognition algorithm, the pixel area ratio of the glare and the light spot area generated by the lens effect of the water droplets is calculated.

[0077] When testing the ultrasonic radar, the echo signal strength is mainly detected. During the test, a standard obstacle is placed at a fixed distance in front of each ultrasonic radar. Before washing the vehicle, the reference value of the echo signal strength is measured and recorded. After washing, the echo signal strength is measured again under the same conditions.

[0078] When testing the millimeter wave radar, the false alarm rate is mainly evaluated. Therefore, during the standing and driving stages after washing, the number of times that the millimeter wave radar reports a target in a real target area (such as the side wall of the wind tunnel) is monitored.

[0079] In a possible implementation, when the step S103 of calculating the score of the intelligent system sensor performance of the vehicle based on the monitored intelligent system sensor performance data by using a preset quantitative evaluation model is performed, the following steps can be specifically performed: The ratio of the average point cloud number on the standard corner reflector before and after washing the vehicle is calculated, and the ratio is taken as the score of the laser radar: The laser radar score Slidar=(average number of point clouds after washing car / average number of point clouds before washing car)×100.

[0080] The camera score is calculated by the following formula :

[0081] Wherein, K is a preset magnification coefficient.

[0082] The ratio of the echo signal intensity before and after washing the car is calculated, and the ratio is taken as the ultrasonic radar score: The ultrasonic radar score Suss=(echo signal intensity after washing car / echo signal intensity before washing car)×100.

[0083] The millimeter wave radar score is calculated by the following formula :

[0084] Wherein, C is a preset deduction coefficient; The lowest score among the laser radar score, the camera score, the ultrasonic radar score and the millimeter wave radar score is taken as the score of the sensor performance of the intelligent system of the vehicle.

[0085] In this embodiment, the analytic hierarchy process (AHP) is used to determine the weight index, and a four-dimensional evaluation model is constructed: electrical safety performance (weight 0.5); body sealing performance (weight 0.2); mechanical function performance (weight 0.2); sensor and intelligent system performance (weight 0.15).

[0086] When step S103 is performed, the comprehensive evaluation result Stotal can be calculated by the following formula: Stotal=0.5×Selec+0.2×Sseal+0.2×Smech+0.1×Ssmart Wherein, Selec is the score of the electrical safety performance; Sseal is the score of the body sealing performance; Smech is the score of the mechanical function performance; Ssmart is the score of the sensor performance of the intelligent system.

[0087] Based on the same technical concept, the embodiments of the present application also provide a testing device for the low-temperature icing risk of a vehicle, as shown in Figure 3 The device comprises: The control module 301 is configured to control the vehicle to sequentially undergo a high-pressure spraying stage, a dynamic driving stage and a low-temperature standing stage on a test bench integrated with an environmental wind tunnel, a chassis dynamometer and a high-pressure spraying system after the test bench is built; in the high-pressure spraying stage, the high-pressure spraying system sprays the vehicle; in the dynamic driving stage, the chassis dynamometer applies simulated road loads to the vehicle; and in the low-temperature standing stage, the environmental wind tunnel lowers the environmental temperature to a target low temperature and maintains the temperature. The monitoring module 302 is configured to monitor, in real time, electrical safety performance data, mechanical function performance data, vehicle body sealing performance data and intelligent system sensor performance data of the vehicle during the test. The first calculation module 303 is configured to calculate, based on the monitored electrical safety performance data, mechanical function performance data, vehicle body sealing performance data and intelligent system sensor performance data, scores of electrical safety performance, mechanical function performance, vehicle body sealing performance and intelligent system sensor performance of the vehicle by using a preset quantitative evaluation model, and generate a comprehensive evaluation result.

[0088] Optionally, the control module 301, when used to spray the vehicle by using the high-pressure spraying system in the high-pressure spraying stage, is specifically configured to: In the high-pressure spraying stage, the vehicle is sprayed by using a matrix nozzle array in the high-pressure spraying system at an adjustable angle and timing, and the vehicle is dried after spraying to remove visible water droplets. The control module 301, when used to apply simulated road loads to the vehicle by using the chassis dynamometer in the dynamic driving stage, is specifically configured to: In the dynamic driving stage, the chassis dynamometer simulates road loads including acceleration, deceleration, braking, high-speed cruising and climbing.

[0089] Optionally, the monitoring module 302, when used to monitor, in real time, the electrical safety performance data of the vehicle, is specifically configured to: A high-voltage insulation sensor arranged in a high-voltage distribution box of the vehicle is used to monitor, in real time, an insulation resistance value of a high-voltage positive and negative electrode pair of the vehicle. A digital humidity sensor arranged in a battery pack of the vehicle is used to monitor, in real time, a first relative humidity value in the battery pack. A CAN bus data acquisition card is used to monitor, in real time, a fault code state reported by a vehicle control unit. The first calculation module 303, when used to calculate, based on the monitored electrical safety performance data, the score of the electrical safety performance of the vehicle by using the preset quantitative evaluation model, is specifically configured to: determine an insulation resistance score according to the insulation resistance value, wherein the insulation resistance value and the insulation resistance score are in a positive correlation relationship; determine a first humidity score according to a maximum value of the first relative humidity value in the entire test cycle, wherein the maximum value of the first relative humidity value and the first humidity score are in a negative correlation relationship; determine a fault code score according to the fault code state; perform weighted calculation on the insulation resistance score, the first humidity score and the fault code score through a preset quantitative evaluation model to obtain the score of the electrical safety performance of the vehicle.

[0090] Optionally, the control module 301 is specifically configured to, when monitoring the mechanical function performance data of the vehicle in real time, specifically configured to: for at least one target mechanical component, collect a real-time current waveform according to a sampling frequency through a current sensor connected in series in a motor driving circuit of the target mechanical component; the target mechanical component includes a door handle and / or a charging port cover; record a video stream of a motion process through a video acquisition device arranged near the target mechanical component; The first calculation module 303 is specifically configured to, when calculating the score of the mechanical function performance of the vehicle through a preset quantitative evaluation model based on the monitored mechanical function performance data, specifically configured to: calculate the mechanical motion success rate score through the following formula :

[0091] wherein, represents the total number of tests of the same target mechanical component; is a determination result of the nth test; when the current waveform of the nth test is normal and the video stream is used to identify that the target mechanical component is popped to a position, = 1, otherwise, = 0; use the mechanical motion success rate score as the score of the mechanical function performance.

[0092] Optionally, when the target mechanical component is a door handle, the monitoring module 302 is specifically configured to, when monitoring the mechanical function performance data of the vehicle in real time, further specifically configured to: measure the door opening resistance through a strain gauge sensor installed in a door sealing strip; The device further includes: a second calculation module configured to calculate the average current and the peak current of the mechanical motion based on the collected door lock current waveform; a diagnosis module configured to: ​If the peak current is greater than the preset current threshold, and the current waveform presents a flat top feature, it is diagnosed as door lock mechanism icing; If the door opening resistance is greater than the preset resistance threshold, and the peak current is in the threshold interval where the current threshold is located, it is diagnosed as a sealing strip icing; If the average current is near 0A, it is diagnosed as an electronic fault; Otherwise, it is diagnosed as a mechanical jam.

[0093] Optionally, the control module 301 is used for monitoring the vehicle body sealing performance data in real time, specifically for: Through the image acquisition device arranged in the key area of the vehicle body, the image of the water-sensitive test paper pasted on the key area after testing is collected; Through the endoscope camera arranged inside the door trim panel and at the wire harness interface, the image of the area after testing is collected; Through the distributed digital humidity sensor arranged in the cavity of the door trim panel, under the seat and in the spare tire groove of the trunk, the second relative humidity value of each monitoring position is monitored in real time; The first calculation module 303 is used for calculating the score of the vehicle body sealing performance of the vehicle based on the monitored vehicle body sealing performance data through the preset quantitative evaluation model, specifically for: Based on the image of the water-sensitive test paper after testing and the reference image before testing, the discoloration area of the test paper caused by water ingress is identified through an image processing algorithm, and the pixel area ratio of the discoloration area is calculated; The pixel area ratio is determined according to the image analysis score; wherein the pixel area ratio and the image analysis score are negatively correlated; The maximum value of the second relative humidity monitored by each distributed digital humidity sensor during the entire test period is obtained; For the monitoring position of the non-battery pack area, the second humidity score of the position is determined according to the maximum value of the second relative humidity; wherein the maximum value of the second relative humidity and the second humidity score are negatively correlated; According to the image analysis score and the second humidity score, the score of the vehicle body sealing performance is calculated.

[0094] Optionally, the control module 301 is used for monitoring the intelligent system sensor performance data of the vehicle in real time, specifically for: For the laser radar on the vehicle, a standard corner reflector is arranged at a fixed distance in front of the vehicle, and the average point cloud number on the standard corner reflector before and after washing the car is recorded respectively; For the camera on the vehicle, after the high-pressure spraying stage is completed, before the vehicle enters the dynamic driving stage, a light source is aligned in a dark environment, and a camera image collected by the camera after washing the vehicle is collected to analyze the area of the stray light region in the camera image; For the ultrasonic radar on the vehicle, a standard obstacle is arranged at a fixed distance in front of it, and the echo signal strength before and after washing the vehicle is recorded; For the millimeter wave radar on the vehicle, the number of times of reporting false targets in the real target area during the dynamic driving stage and the low-temperature standing stage after washing the vehicle is monitored to obtain the number of false alarms; The first calculation module 303 is specifically configured to: calculate the ratio of the average number of point clouds on the standard corner reflector before and after washing the vehicle, and take the ratio as the laser radar score; The camera score is calculated by the following formula :

[0095] Wherein, K is a preset amplification coefficient; calculate the ratio of the echo signal strength before and after washing the vehicle, and take the ratio as the ultrasonic radar score; The millimeter wave radar score is calculated by the following formula :

[0096] Wherein, C is a preset deduction coefficient; The lowest score among the laser radar score, the camera score, the ultrasonic radar score and the millimeter wave radar score is taken as the score of the intelligent system sensor performance of the vehicle.

[0097] Figure 4 A structural schematic diagram of an electronic device provided by the embodiment of the application includes a processor 401, a memory 402 and a bus 403. The memory 402 stores machine-readable instructions executable by the processor 401. When the electronic device runs the above information processing method, the processor 401 and the memory 402 communicate through the bus 403. The processor 401 executes the machine-readable instructions to perform the method steps described in embodiment one.

[0098] The embodiment of the application further provides a computer-readable storage medium, which stores a computer program. When the computer program is run by a processor, the method steps described in embodiment one are executed.

[0099] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working processes of the apparatus, the electronic device and the computer readable storage medium described above can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

[0100] In several embodiments provided in the present application, it should be understood that the disclosed methods, apparatuses, electronic devices and computer readable storage media can be implemented in other ways. The apparatus embodiments described above are only schematic. For example, the division of the modules is only a logical function division, and actual implementation can have another division manner. For example, a plurality of modules or components can be combined or integrated into another system, or some features can be omitted or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed elements can be indirect coupling or communication connection through some communication interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0101] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e. they can be located in one place or distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

[0102] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit.

[0103] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solutions of the present application essentially or the parts that make contributions to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various media that can store program codes.

[0104] Finally, it should be noted that the above-described embodiments are merely specific embodiments of the present application, which are used to illustrate the technical solutions of the present application, but not to limit the same. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that any skilled person in the art can still modify or easily think of changes to the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some of the technical features, within the technical range disclosed by the present application. The modifications, changes or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method of testing a vehicle for risk of low temperature icing, characterized in that, The method comprises: After the test bench integrated with an environmental wind tunnel, a chassis dynamometer and a high-pressure spraying system is built, the vehicle is controlled to sequentially experience a high-pressure spraying stage, a dynamic driving stage and a low-temperature standing stage on the test bench; in the high-pressure spraying stage, the high-pressure spraying system is used to perform high-pressure spraying on the vehicle; in the dynamic driving stage, the chassis dynamometer is used to apply simulated road load to the vehicle; in the low-temperature standing stage, the environmental wind tunnel is used to reduce the environmental temperature to a target low temperature and maintain the temperature; During the test, the electrical safety performance data, the mechanical function performance data, the vehicle body sealing performance data and the intelligent system sensor performance data of the vehicle are monitored in real time; Based on the monitored electrical safety performance data, mechanical function performance data, vehicle body sealing performance data and intelligent system sensor performance data, the scores of the electrical safety performance, mechanical function performance, vehicle body sealing performance and intelligent system sensor performance of the vehicle are calculated respectively by using a preset quantitative evaluation model, and a comprehensive evaluation result is generated.

2. The method of claim 1, wherein, In the high-pressure spraying stage, the high-pressure spraying system is used to perform high-pressure spraying on the vehicle, comprising: In the high-pressure spraying stage, the matrix nozzle array in the high-pressure spraying system is used to spray the vehicle at an adjustable angle and timing, and the vehicle surface is dried after spraying to remove visible water droplets; In the dynamic driving stage, the chassis dynamometer is used to simulate road load including acceleration, deceleration, braking, high-speed cruising and climbing conditions. The real-time monitoring of the electrical safety performance data of the vehicle comprises:

3. The method of claim 1, wherein, The high-voltage insulation sensor arranged in the high-voltage distribution box of the vehicle is used to monitor the insulation resistance value of the high-voltage positive and negative electrodes to the vehicle in real time; The digital humidity sensor arranged in the battery pack of the vehicle is used to monitor the first relative humidity value inside the battery pack in real time; The CAN bus data acquisition card is used to monitor the fault code state reported by the vehicle control unit in real time; Based on the monitored electrical safety performance data, the score of the electrical safety performance of the vehicle is calculated by using a preset quantitative evaluation model, comprising: According to the value interval of the insulation resistance value, the insulation resistance score is determined: the insulation resistance value and the insulation resistance score are positively correlated; According to the maximum value of the first relative humidity value in the entire test period, the first humidity score is determined: the maximum value of the first relative humidity value and the first humidity score are negatively correlated; According to the fault code state, the fault code score is determined; The insulation resistance score, the first humidity score and the fault code score are weighted and calculated by using the preset quantitative evaluation model to obtain the score of the electrical safety performance of the vehicle. The real-time monitoring of the mechanical function performance data of the vehicle comprises:

4. The method of claim 1, wherein, ​ For at least one target mechanical component, a real-time current waveform is collected at a sampling frequency through a current sensor connected in series in a motor drive circuit of the target mechanical component; the target mechanical component includes a door handle and / or a charging port cover; A video stream of the mechanical action is recorded through a video acquisition device arranged near the target mechanical component; The mechanical function performance data of the vehicle is monitored in real time, and a score of the mechanical function performance of the vehicle is calculated based on the monitored mechanical function performance data through a preset quantitative evaluation model, including: The mechanical action success rate score is calculated by the following equation : wherein, represents the total number of tests of the same target mechanical component; is the decision result of the nth test; when the current waveform of the nth test is normal, and the target mechanical component is identified to pop up to the position based on the video stream, = 1, otherwise 0; The mechanical action success rate score is taken as the score of the mechanical function performance.

5. The method of claim 4, wherein, When the target mechanical component is a door handle, the real-time monitoring of the mechanical function performance data of the vehicle further includes: The opening resistance of the vehicle door is measured through a strain gauge sensor installed in the vehicle door sealing strip; The method further includes: Based on the collected door lock current waveform, the average current and the peak current of the mechanical action are calculated; If the peak current is greater than a preset current threshold, and the current waveform presents a flat top feature, it is diagnosed as door lock mechanism icing; If the opening resistance of the vehicle door is greater than a preset resistance threshold, and the peak current is in the threshold interval where the current threshold is located, it is diagnosed as sealing strip icing; If the average current is near 0A, it is diagnosed as an electronic fault; Otherwise, it is diagnosed as mechanical jamming.

6. The method of claim 1, wherein, The vehicle body sealing performance data of the vehicle is monitored in real time, including: Images of water-sensitive test paper pasted on the key area after testing are collected through image acquisition devices arranged in the key area; Images of the area after testing are collected through endoscopic cameras arranged inside the vehicle door trim and at the wire harness interface; Second relative humidity values of each monitoring position are monitored in real time through distributed digital humidity sensors arranged in the cavity of the vehicle door trim, under the seat and in the spare tire groove of the trunk; Based on the monitored vehicle body sealing performance data, a score of the vehicle body sealing performance of the vehicle is calculated through a preset quantitative evaluation model, including: Based on the images of the water-sensitive test paper after testing and the baseline images before testing, the discoloration area of the test paper caused by water ingress is identified through an image processing algorithm, and the pixel area ratio of the discoloration area is calculated; The pixel area ratio and the image analysis score are negatively correlated; The maximum value of the second relative humidity monitored by each distributed digital humidity sensor within the entire test period is obtained; For the monitoring position of the non-battery pack area, the second humidity score of the position is determined according to the maximum value of the second relative humidity; the maximum value of the second relative humidity and the second humidity score are negatively correlated; The score of the vehicle body sealing performance is calculated according to the image analysis score and the second humidity score.

7. The method of claim 1, wherein, The intelligent system sensor performance data of the vehicle is monitored in real time, including: For the laser radar on the vehicle, a standard corner reflector is arranged at a fixed distance in front of the vehicle, and the average point cloud number on the standard corner reflector before and after washing the vehicle is recorded respectively; For the camera on the vehicle, after the high-pressure spraying stage is completed, before the vehicle enters the dynamic driving stage, a light source is aligned in a dark environment, and a camera image collected by the camera after washing the vehicle is collected to analyze the area of the stray light region in the camera image; For the ultrasonic radar on the vehicle, a standard obstacle is arranged at a fixed distance in front of it, and the echo signal strength before and after washing the vehicle is recorded; For the millimeter wave radar on the vehicle, the number of times of reporting false targets in the real target area during the dynamic driving stage and the low-temperature standing stage after washing the vehicle is monitored to obtain the number of false alarms; The score of the intelligent system sensor performance of the vehicle is calculated based on the monitored intelligent system sensor performance data of the vehicle through a preset quantitative evaluation model, including: The ratio of the average point cloud number on the standard corner reflector before and after washing the vehicle is calculated, and the ratio is taken as the laser radar score; The camera score is calculated by the following equation : Wherein, K is a preset amplification coefficient; The ratio of the echo signal strength before and after washing the vehicle is calculated, and the ratio is taken as the ultrasonic radar score; The millimeter wave radar score is calculated by the following equation : Wherein, C is a preset deduction coefficient; The lowest score among the laser radar score, the camera score, the ultrasonic radar score and the millimeter wave radar score is taken as the score of the intelligent system sensor performance of the vehicle.

8. A device for testing the risk of low temperature icing of a vehicle, characterized in that Including: The control module is used for controlling the vehicle to sequentially experience a high-pressure spraying stage, a dynamic driving stage and a low-temperature standing stage on the test bench integrated with an environmental wind tunnel, a chassis dynamometer and a high-pressure spraying system after the test bench is built; wherein, in the high-pressure spraying stage, the high-pressure spraying system is used to perform high-pressure spraying on the vehicle; in the dynamic driving stage, the chassis dynamometer is used to apply simulated road load to the vehicle; in the low-temperature standing stage, the environmental wind tunnel is used to reduce the environmental temperature to a target low temperature and maintain it; The monitoring module is used for monitoring the electrical safety performance data, mechanical function performance data, vehicle body sealing performance data and intelligent system sensor performance data of the vehicle in real time during the test; The first calculation module is used for calculating the scores of the electrical safety performance, mechanical function performance, vehicle body sealing performance and intelligent system sensor performance of the vehicle based on the monitored electrical safety performance data, mechanical function performance data, vehicle body sealing performance data and intelligent system sensor performance data through a preset quantitative evaluation model, and generating a comprehensive evaluation result.

9. An electronic device, comprising: Including: The processor, the memory and the bus, the memory stores machine readable instructions executable by the processor, when the electronic device runs, the processor and the memory communicate through the bus, the machine readable instructions are executed by the processor to execute the steps of the method in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, the computer program is executed by the processor to execute the steps of the method in any one of claims 1 to 7.

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