Vehicle-mounted refrigerator working condition simulation test method, device and equipment and storage medium

Abstract

The invention relates to a vehicle-mounted refrigerator working condition simulation test method, device and equipment and a storage medium, and the method comprises the steps: obtaining a corresponding simulation test case used for testing the abnormal sound performance of a vehicle-mounted refrigerator, and enabling the simulation test case to comprise working condition simulation parameters, the working condition simulation test parameters describe the staged movement process of a vehicle carrying the vehicle-mounted refrigerator through a plurality of parameters; the working condition simulation parameters are converted into electromechanical control parameters, the electromechanical control parameters are used for controlling a motor in preset working condition simulation test equipment to drive a rotating disc to move, and the rotating disc drives the vehicle-mounted refrigerator to simulate the staged movement process; the method comprises the following steps: acquiring audio data formed by audio acquisition of the vehicle-mounted refrigerator by audio acquisition equipment, and determining noise parameters of the vehicle-mounted refrigerator based on the audio data. Electromechanical control is carried out through the simulation test case, efficient, accurate and comprehensive vehicle-mounted refrigerator abnormal sound test is realized, the cost is reduced, and the objectivity and reliability of the test are improved.

Description

Technical Field

[0001] The present application relates to the technology of in-vehicle refrigerators, and particularly to a method, device, equipment and storage medium for simulating and testing the working conditions of in-vehicle refrigerators. Background Art

[0002] In the modern automotive industry, in-vehicle refrigerators, as important devices for enhancing the driving and riding experience, have received extensive attention for their performance and reliability. Especially during vehicle driving, the abnormal noise problem of in-vehicle refrigerators directly affects the user experience and the market competitiveness of products. The abnormal noise may not only stem from the failures of internal components of the refrigerator, but also be closely related to the motion state of the vehicle. Therefore, accurately testing the abnormal noise performance of in-vehicle refrigerators under different vehicle working conditions is a key link to ensure product quality and meet consumer demands.

[0003] Traditional methods for testing abnormal noises of in-vehicle refrigerators rely on actual road tests, which are costly, time-consuming and inefficient. In actual road tests, it is necessary to drive a vehicle loaded with an in-vehicle refrigerator on specific road conditions to simulate different vehicle motion working conditions, such as braking, turning and accelerating. Testers need to collect audio data during vehicle driving and judge whether there is an abnormal noise problem with the refrigerator based on this data. This method is not only restricted by actual road conditions, but also the test results largely depend on the subjective judgment of testers, lacking objectivity and accuracy.

[0004] In addition, actual road tests cannot simulate all possible vehicle motion working conditions, especially those rare or extreme situations. This leads to limitations in the test coverage and increases the risk of unknown abnormal noise problems after the product is launched into the market. Therefore, there is an urgent need in the industry for a simulation test method that can simulate various vehicle motion working conditions to comprehensively and accurately evaluate the abnormal noise performance of in-vehicle refrigerators. Summary of the Invention

[0005] The purpose of the present application is to solve the above problems and provide a method for simulating and testing the working conditions of in-vehicle refrigerators, as well as its corresponding device, equipment, non-volatile readable storage medium, and computer program product.

[0006] According to one aspect of the present application, there is provided a method for simulating and testing the working conditions of in-vehicle refrigerators, including:

[0007] Obtaining a simulation test case corresponding to testing the abnormal noise performance of an in-vehicle refrigerator, where the simulation test case includes working condition simulation parameters, and the working condition simulation test parameters describe the staged motion process of a vehicle carrying the in-vehicle refrigerator through multiple parameters;

[0008] Convert the working condition simulation parameters into electromechanical control parameters, and use the electromechanical control parameters to control the motor in a preset working condition simulation test device to drive the turntable to move, so that the turntable drives the vehicle-mounted refrigerator to simulate the phased movement process;

[0009] Obtain the audio data formed by the audio acquisition device for audio acquisition of the vehicle-mounted refrigerator, and determine the noise parameters of the vehicle-mounted refrigerator based on the audio data.

[0010] According to another aspect of the present application, there is provided a vehicle-mounted refrigerator working condition simulation test device, including:

[0011] A use case calling module, configured to obtain a simulation test use case corresponding to testing the abnormal sound performance of the vehicle-mounted refrigerator, and the simulation test use case includes working condition simulation parameters;

[0012] A test running module, configured to convert the working condition simulation parameters into electromechanical control parameters, and use the electromechanical control parameters to control the motor in a preset working condition simulation test device to drive the turntable to move, so that the turntable drives the vehicle-mounted refrigerator to simulate the phased movement process;

[0013] A noise detection module, configured to obtain the audio data formed by the audio acquisition device for audio acquisition of the vehicle-mounted refrigerator, and determine the noise parameters of the vehicle-mounted refrigerator based on the audio data.

[0014] According to another aspect of the present application, there is provided a vehicle-mounted refrigerator working condition simulation test device, including a motor, a turntable driven by the motor to rotate, an audio acquisition device, and a control unit electrically connected to the motor and the audio acquisition device respectively. The turntable is provided with a vehicle-mounted refrigerator installation part, and the audio acquisition device is used to collect the audio data generated by the vehicle-mounted refrigerator when it makes a sound. The control unit includes a central processing unit and a memory, and the central processing unit is used to call and run the computer program stored in the memory to execute the steps of the method described in the present application.

[0015] According to another aspect of the present application, there is provided a non-volatile readable storage medium, which stores in the form of computer-readable instructions a computer program implemented according to the vehicle-mounted refrigerator working condition simulation test method described above. When the computer program is called and run by a computer, it executes the steps included in the method.

[0016] According to another aspect of the present application, there is provided a computer program product, including computer programs / instructions, and when the computer programs / instructions are executed by a processor, the steps of the method are implemented.

[0017] The on-vehicle refrigerator working condition simulation test method proposed in this application has achieved significant technological progress and efficiency improvement compared to traditional actual road tests. By simulating vehicle motion conditions through simulation test cases, this method breaks through the limitations of field tests, enhances the flexibility of testing, allows for rapid switching of test cases in a controlled laboratory environment, realizes a continuous and efficient test process, significantly shortens the test cycle and reduces costs. At the same time, the motion of the turntable is precisely controlled using electromechanical control parameters, ensuring the consistency and repeatability of test conditions, improving the accuracy and reliability of test results, and reducing the interference of human factors. In addition, this method can simulate extreme or rare working conditions, expands the test coverage, enhances the performance guarantee of the product in complex environments, helps to identify potential problems in advance, and reduces market risks. Finally, by using an audio acquisition device to record and analyze the running sound of the on-vehicle refrigerator in real time, this method can accurately identify abnormal sound problems, provide test results based on data, facilitate analysis and comparison, and can be used for continuous improvement of product design and manufacturing to improve product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a schematic electromechanical structure diagram of the on-vehicle refrigerator working condition simulation test device of this application;

[0019] Figure 2 is a schematic flow diagram of an embodiment of the on-vehicle refrigerator working condition simulation test method of this application;

[0020] Figure 3 is a schematic flow diagram of creating a simulation test case based on the actual motion data of a vehicle in an embodiment of this application;

[0021] Figure 4 is a schematic flow diagram of expanding a simulation test case in an embodiment of this application;

[0022] Figure 5 is a schematic block diagram of the on-vehicle refrigerator working condition simulation test device of this application;

[0023] Figure 6 is a schematic structure diagram of another on-vehicle refrigerator working condition simulation test device adopted in this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0024] As Figure 1 shown, an exemplary on-vehicle refrigerator working condition simulation test device of this application can simulate and test the abnormal sound performance of the on-vehicle refrigerator 80 under different vehicle working conditions. The device mainly includes key components such as a control unit 30, a motor 31, a turntable 32, and an audio acquisition device 33. They cooperate with each other through electrical connection and data transmission to jointly complete the simulation test task.

[0025] The control unit 30 serves as the brain of the entire test device and is responsible for coordinating and controlling the operation of each component. The control unit 30 includes a central processing unit and a memory. The memory stores a computer program product, which contains code instructions for implementing the steps of the on-vehicle refrigerator operating condition simulation test method of the present application. When the computer program product is called and executed by the central processing unit, the control unit 30 can obtain the simulation test cases and generate corresponding electromechanical control parameters according to the preset operating condition simulation parameters therein, so as to accurately control the operation of the motor 31.

[0026] The motor 31 is the power source of the simulation test device. It receives the electromechanical control parameters from the control unit 30 and drives the turntable 32 to move according to these parameters. The turntable 32 usually uses its central part to receive the output torque of the motor 31 and is driven by the output torque of the motor 31 to perform circumferential movement. The surface of the turntable 32 is directly used to carry the on-vehicle refrigerator 80. Specifically, the surface of the turntable 32 can provide an installation part for fixing the on-vehicle refrigerator 80. The movement generated by the turntable 32 under the control of the electromechanical control parameters serves to simulate the movement process of the vehicle under actual operating conditions. The installation part of the turntable 32 allows the on-vehicle refrigerator 80 to be installed on it, enabling the on-vehicle refrigerator 80 to be directly affected by the working condition conditions such as the centrifugal acceleration, rotation direction, and movement action time generated by the drive of the motor 31.

[0027] The audio acquisition device 33 is responsible for capturing the audio data generated during the operation of the on-vehicle refrigerator 80 in real time during the simulation test process. These data can be used to determine the noise parameters of the on-vehicle refrigerator 80 under different operating conditions. The audio acquisition device 33 is electrically connected to the control unit 30 to ensure that the audio data can be transmitted and processed in real time. The audio acquisition device 33 includes, but is not limited to, directional microphones, stereo microphone arrays, electronic stethoscopes, high-sensitivity pickups, etc. These devices can accurately capture the sound wave signals generated by the refrigerator under various operating conditions and convert them into audio data. These audio acquisition devices 33 can be selected and configured according to the specific requirements and environmental conditions of the test to ensure that clear and accurate audio data can be obtained, providing a reliable basis for subsequent noise analysis.

[0028] When the working condition simulation test device is working, first, the control unit 30 converts the working condition simulation parameters into electromechanical control parameters according to the stored simulation test cases. Then, the control unit 30 sends these parameters to the motor 31, and the motor 31 drives the turntable 32 to move according to the received parameters, simulating the phased movement process of the vehicle. At the same time, any abnormal noise generated during the movement of the in-vehicle refrigerator 80 on the turntable 32 will be captured by the audio acquisition device 33 and form audio data. These audio data are then transmitted to the control unit 30 for preprocessing and analysis, and finally the noise parameters of the in-vehicle refrigerator 80 under the corresponding working conditions are determined. In this way, the simulation test device of the present application can accurately simulate different working conditions of the vehicle and accurately evaluate the abnormal noise performance of the in-vehicle refrigerator 80, providing an efficient and reliable solution for the performance test of the in-vehicle refrigerator 80.

[0029] Please refer to Figure 2 , according to a method for simulating the working conditions of an in-vehicle refrigerator provided by the present application, it can be implemented as a computer program product installed and running in an in-vehicle refrigerator working condition simulation test device. After its operation, an automated test system is constructed to realize the simulation test of the phased movement process of the in-vehicle refrigerator in the vehicle and determine the corresponding noise parameters. In some of its embodiments, the following steps are included:

[0030] Step S3100: Obtain a simulation test case corresponding to testing the abnormal noise performance of the in-vehicle refrigerator. The simulation test case includes working condition simulation parameters, and the working condition simulation test parameters describe the phased movement process of the vehicle carrying the in-vehicle refrigerator through multiple parameters;

[0031] The simulation test case is a set of pre-defined parameter sets. Each simulation test case simulates various movement working conditions that the in-vehicle refrigerator may encounter in an actual vehicle through one or more sets of working condition simulation parameters, such as different working conditions like braking, turning, and accelerating (deceleration is the same). Each working condition simulation parameter describes the phased movement process of the vehicle under the corresponding working condition through multiple parameters. In one embodiment, the working condition simulation parameters include, but are not limited to, different parameters such as centrifugal acceleration, movement direction, and movement action time. In another embodiment, considering that the tester can flexibly adjust the azimuth relationship between the in-vehicle refrigerator and the turntable of the working condition simulation test device by himself / herself, the movement direction parameter may not be provided in the working condition simulation parameters.

[0032] The centrifugal acceleration in the working condition simulation parameters can be converted according to the actual acceleration characteristic value of the vehicle under a specific working condition, and is used to simulate the influence of vehicle movement on the in-vehicle refrigerator. The movement direction describes the directionality of vehicle movement, such as turning left or accelerating forward. The movement action time refers to the duration of each working condition, which is crucial for simulating the phased characteristics of vehicle movement.

[0033] In some embodiments, a single working condition may correspond to a simulation test case, and multiple data records may be given in the working condition simulation parameters of this working condition. Each data record contains the same parameters, such as centrifugal acceleration, movement direction, and movement action time. Between the movement action times of different data records, their chronological relationship is maintained. In this way, through the changes in centrifugal acceleration and / or movement direction corresponding to different time sequences, for example, the centrifugal acceleration of the latter time sequence has a change exceeding a certain amplitude relative to the centrifugal acceleration of the previous time sequence, a more complex phased movement process can be simulated. For example, under a certain working condition, when the vehicle is moving at a given acceleration, it encounters a pothole or obstacle on the ground, resulting in a sudden change in its acceleration. Then, the steep change between the centrifugal acceleration changes in the data records of the front and rear time sequences can be used to simulate this situation.

[0034] Multiple specific embodiments can be adopted to prepare simulation test cases. For example, the acceleration characteristic values can be extracted from the actual movement data of the vehicle, and then based on these characteristic values, simulation test cases generated from the actual movement data can be created. These data can be collected during actual driving through the vehicle's motion sensors or the vehicle head unit data interface, and then processed by data analysis software to extract the acceleration characteristic values corresponding to different working conditions. Then, these characteristic values are converted into centrifugal acceleration parameters, and combined with the movement direction and movement action time, a complete set of working condition simulation parameters is formed.

[0035] In addition, these working condition simulation parameters can also be generated through simulation software. For example, a vehicle dynamics model is used to simulate different working conditions on a computer, and then the corresponding working condition simulation parameters are extracted from the simulation results; or, by using the simulation test cases generated from the actual movement data, with the help of a preset algorithm, the generation rules of the working condition simulation parameters corresponding to various working conditions are summarized, and new working condition simulation parameters are automatically expanded according to the generation rules and form new simulation test cases. Thus, the time for preparing simulation test cases can be greatly saved, the preparation efficiency of simulation test cases can be improved, and thereby the test efficiency of the in-vehicle refrigerator can be improved.

[0036] The simulation test cases encapsulated by the working condition simulation parameters can be saved in a database to form a use case database for being called during testing. It can be seen that the simulation test cases can be prepared from actual data or simulation data and are used to define the movement parameters of various working conditions that the in-vehicle refrigerator may encounter during the vehicle's movement. These parameter sets provide the necessary inputs for subsequent test steps, enabling the test equipment to simulate the actual vehicle movement process and accurately test and evaluate the abnormal noise performance of the in-vehicle refrigerator.

[0037] Step S3200: Convert the working condition simulation parameters into electromechanical control parameters, and use the electromechanical control parameters to control the motor in the preset working condition simulation test equipment to drive the turntable to move, so that the turntable drives the vehicle-mounted refrigerator to simulate the phased movement process;

[0038] To simulate the motion effects caused by the actual driving of the vehicle, it is necessary to convert the working condition simulation parameters into electromechanical control parameters. Therefore, the working condition simulation parameters describing the vehicle motion process, such as centrifugal acceleration, motion direction, and motion action time, are correspondingly converted into specific parameters that can control the operation of the motor in the working condition simulation test equipment of the present application, that is, electromechanical control parameters. Usually, these parameters include the rotational speed, rotation direction, and operation time of the motor, which directly determine the motion state of the turntable, thereby simulating the actual motion process of the vehicle. In embodiments where the working condition simulation parameters do not provide the parameter of the motion direction, the motor can operate in the default rotation direction, and in this case, there is no need to implement the conversion from the motion direction to the rotation direction.

[0039] Specifically, the centrifugal acceleration parameter is used to calculate the required rotational speed of the turntable. Similarly, it is equivalent to the rotational speed of the rotating shaft for which the motor is responsible for outputting torque. Through physical formulas, the centrifugal acceleration a can be related to the angular velocity ω and radius r of the turntable, that is:

[0040] a = ω 2 ·r

[0041] The relationship between the rotational speed n of the turntable and the angular velocity is expressed by the following formula:

[0042] ω = 2πn

[0043] Therefore, by combining the two formulas, the calculation formula for the rotational speed n can be solved as:

[0044]

[0045] Among them, for the convenience of calculation, the units of each variable can be unified. For example, the unit of the centrifugal acceleration a is meters per square second, the radius unit is meters, and the unit of the rotational speed n is RPM, that is, the rotational speed per minute.

[0046] The rotational speed n can be calculated through the above formula. Therefore, after the centrifugal acceleration a is given, the corresponding rotational speed can be calculated as one of the electromechanical control parameters.

[0047] The motion direction parameter determines the rotation direction of the turntable. In the working condition simulation test equipment, the motor can rotate clockwise or counterclockwise through specific control logic to simulate the working conditions of the vehicle turning left or right. Correspondingly, when the working condition simulation parameters provide the motion direction, it is correspondingly converted into the corresponding clockwise or counterclockwise direction.

[0048] The motion action time parameter specifies the duration for which the turntable needs to maintain a specific motion state under each working condition. This parameter ensures that the working condition simulation test equipment can execute the test according to the time characteristics of the actual vehicle motion, thus more accurately simulating the phased characteristics of the vehicle motion. The motion action time can be represented using timestamps or time length values. For the case of multiple data records for the same working condition, the chronological relationship between the respective motion action times in different data records can be represented by sorting them in sequence; the same applies to multiple working conditions, and the corresponding motion action times of multiple working conditions can be arranged in sequence to represent the chronological relationship and corresponding actions.

[0049] In practice, various methods can be used to achieve parameter conversion. For example, an algorithm can be designed that automatically calculates the corresponding electromechanical control parameters based on the input working condition simulation parameters and sends them to the motor controller. This algorithm can be integrated into the software of the control unit or implemented as an independent module. Additionally, a preset conversion table can be used to achieve rapid parameter conversion, which predefines the corresponding relationship between different working condition simulation parameters and electromechanical control parameters based on historical data and empirical formulas.

[0050] Thus, through the working condition simulation parameters in the simulation test cases, the phased motion process of the in-vehicle refrigerator in the vehicle can be simulated. These parameters include centrifugal acceleration, motion direction, and motion action time, etc. They act together on the working condition simulation test equipment to accurately drive the turntable to simulate the motion state of the vehicle. Among them, the centrifugal acceleration parameter determines the acceleration level that the turntable needs to reach, the motion direction parameter guides the rotation direction of the turntable, and the motion action time parameter specifies the duration for which each motion state should last. The combination of these parameters forms a phased motion process. For example, when simulating the working condition of the vehicle braking, the centrifugal acceleration parameter will suddenly change to reflect the rapid reduction of the vehicle speed and simulate the vehicle oscillation effect. For the entire test case, multiple phased motion processes can be linked together by continuously implementing different working condition simulation parameters to form a complete test sequence. Such a sequence can simulate a series of complex working conditions that the vehicle experiences during actual driving, such as accelerating first, then turning, and finally braking. In this way, the working condition simulation test equipment can reproduce the continuous motion process that the in-vehicle refrigerator may encounter during actual use, providing a more realistic and comprehensive test environment for testing and evaluating the performance of the in-vehicle refrigerator.

[0051] Step S3300: Obtain the audio data formed by the audio acquisition device for audio acquisition of the in-vehicle refrigerator, and determine the noise parameter of the in-vehicle refrigerator based on the audio data.

[0052] To detect the sound performance of the in-vehicle refrigerator under test, the working condition simulation test equipment provides an audio acquisition device, which is used to capture the noise generated by the refrigerator during the simulated vehicle movement and analyze its noise characteristics accordingly. Specifically, the audio acquisition device can be arranged near the test equipment, for example, detecting by being close to any side of the in-vehicle refrigerator, or detecting by being built into the indoor space of the refrigerator, etc., to record in real time the sound emitted by the in-vehicle refrigerator during the simulated movement. The audio acquisition device can be a high-sensitivity microphone, which can capture the subtle sounds during the operation of the refrigerator, including but not limited to the vibration sound of the compressor, the noise of the fan, and other possible sounds.

[0053] The collected audio data is then transmitted to the control unit for processing. During the data processing, preprocessing is first carried out, which includes removing background noise and non-target frequency components to more accurately extract the audio features related to the refrigerator noise. Based on the obtained audio features, other possible noise sources in the test environment, such as the motor sound of the test equipment or environmental noise, have been removed, making it purer and more helpful for accurately determining the noise parameters corresponding to the noise generated by the in-vehicle refrigerator during each stage of the movement process.

[0054] The preprocessed audio data can be further analyzed to extract the abnormal sound feature spectrum. For this purpose, algorithms such as the Fast Fourier Transform (FFT) can be applied to convert the time-domain signal into a frequency-domain signal to obtain the abnormal sound feature spectrum, thereby reflecting the intensity of different frequency components. By analyzing these spectra, the main noise sources and noise levels of the refrigerator under different working conditions can be determined.

[0055] The peak detection algorithm is used to identify the peaks in the abnormal sound feature spectrum, and these peaks correspond to the most significant noise components. The decibel value corresponding to the peak is determined as the noise parameter of the in-vehicle refrigerator under the corresponding working condition. These parameters are directly related to the user's usage experience and the safety of the product, and are important indicators for evaluating the performance of the refrigerator. They can be associated with the in-vehicle refrigerator and stored as personalized test data for product traceability and quality inspection.

[0056] Through the above embodiments of the present application, it is possible to accurately measure and evaluate the noise performance of the in-vehicle refrigerator under various vehicle movement working conditions, thereby ensuring that the product meets the established noise standards and performance requirements before being launched on the market. This not only improves the accuracy and reliability of the test, but also provides strong data support for the design optimization and quality control of the refrigerator.

[0057] It is not difficult to understand from the above embodiments that the present application has achieved significant beneficial effects compared with the traditional actual road test method, including but not limited to:

[0058] First, by using the working condition simulation parameters in the simulation test cases to simulate different motion conditions of the vehicle, this application makes the test no longer restricted by actual road conditions, greatly improving the flexibility and efficiency of the test. In a laboratory environment, different simulation test cases can be quickly switched, or multiple sets of working condition simulation parameters can be provided for each working condition in the simulation test case, enabling continuous and efficient testing of the in-vehicle refrigerator, significantly shortening the test cycle and reducing the test cost.

[0059] Second, by precisely controlling the movement of the turntable in the working condition test equipment through electromechanical control parameters, this application ensures the consistency and repeatability of the test conditions, improving the accuracy and reliability of the test results. This precise control eliminates the interference of human factors, making the test results more objective and reducing the errors caused by the subjective judgment of the test personnel.

[0060] Furthermore, this application can effectively simulate extreme or rare working conditions that are difficult to encounter in actual road tests through working condition simulation parameters, thereby expanding the coverage of the test and improving the performance guarantee of the in-vehicle refrigerator in various complex environments. This is crucial for evaluating the stability and durability of the product under extreme usage conditions, helping to detect potential problems in advance and reducing the risks after the product is launched on the market.

[0061] In addition, this application uses an audio acquisition device to record the running sound of the in-vehicle refrigerator under simulated working conditions in real time and determines the noise parameters based on the audio data, enabling precise identification of abnormal noises in the refrigerator. The test results based on data are not only convenient for analysis and comparison but also can be used to continuously improve the product design and manufacturing process, enhancing product quality.

[0062] Based on any embodiment of the method of this application, please refer to Figure 3 , before obtaining the simulation test case corresponding to testing the abnormal noise performance of the in-vehicle refrigerator, it includes:

[0063] Step S1100: Collect the actual motion data of the vehicle used to transport the in-vehicle refrigerator under different working conditions;

[0064] To prepare simulation test cases corresponding to the abnormal noise performance of in-vehicle refrigerators, it is first necessary to collect the actual motion data of the vehicle carrying the in-vehicle refrigerator under different working conditions. To this end, the vehicle can be placed in a variety of actual road environments and made to perform various predetermined working condition operations, such as accelerating, decelerating, turning, reversing, jolting, etc., in order to collect the motion data of the vehicle under these working conditions. The collection of these data can be achieved through various sensors installed on the vehicle, such as accelerometers, gyroscopes, speed sensors, etc., which can accurately measure the motion state of the vehicle in different directions and at different time points. Given that current intelligent vehicles are basically integrated with these sensors, it is also possible to call the data reading interface provided by the vehicle's in-vehicle system to read the actual motion data generated by these sensors.

[0065] The collection of actual motion data can be carried out under a variety of typical road conditions, including urban roads, highways, rugged mountain roads, etc., to ensure that the collected data can comprehensively cover various motion situations that the in-vehicle refrigerator may encounter. For example, on urban roads, the vehicle may frequently start, stop, and turn; while on highways, it mainly travels in a straight line for a long time and accelerates. On rugged mountain roads, the vehicle will experience a large number of jolts and tilts, all of which can provide important data support for simulation tests.

[0066] The collected actual motion data will be used for the subsequent creation of simulation test cases and are the key inputs for constructing an accurate simulation environment. These data not only include the acceleration changes of the vehicle but may also include the speed changes, steering angles, driving distances, etc., of the vehicle. Through a detailed analysis of these data, the motion characteristics of the vehicle under specific working conditions can be extracted, providing a reference standard in the real world for simulation tests.

[0067] In a specific embodiment, the acquisition of actual motion data involves the collaborative work of multiple sensors to ensure that the collected data can comprehensively cover various situations that the in-vehicle refrigerator may encounter during vehicle movement. These data include the acceleration and deceleration of the vehicle at different speeds, the centripetal acceleration during turning, the vibration frequency caused by bumpy roads, and the total distance traveled by the vehicle, etc. For example, in the braking condition, the deceleration value obtained by the accelerometer directly corresponds to the centripetal acceleration parameter in the working condition simulation parameters, which is used to simulate the impact on the refrigerator when the vehicle decelerates; in the turning condition, the angular velocity measured by the gyroscope is converted into centripetal acceleration, which is combined with the motion direction in the simulation parameters to simulate the impact of vehicle turning on the refrigerator; and in the bumpy condition, the vibration frequency recorded by the speed sensor corresponds to the motion action time, which simulates the vibration suffered by the refrigerator when the vehicle travels on an uneven road surface. Through precise mathematical conversion and parameter setting, these data finally form a complete set of working condition simulation parameters, including centripetal acceleration, motion direction, and motion action time, providing accurate input for the simulation test and ensuring the accuracy and reliability of the test results.

[0068] Step S1200: Extract the corresponding acceleration characteristic values of the vehicle under multiple target working conditions according to the actual motion data;

[0069] After collecting the actual motion data of the vehicle under different working conditions, continue to extract the corresponding acceleration characteristic values of the vehicle under multiple target working conditions. By converting the actual motion data into key parameters such as acceleration characteristic values that can be used for simulation tests, the motion environment encountered by the in-vehicle refrigerator during actual use can be simulated.

[0070] Acceleration characteristic values are key parameters that describe the motion changes of the vehicle under specific working conditions. They reflect the dynamic characteristics of the vehicle during operations such as braking, accelerating, turning, or reversing through quantitative values. These characteristic values not only capture the intensity of vehicle motion but also reveal the mechanical environment that may affect the in-vehicle refrigerator. For example, in the emergency braking condition, a high deceleration characteristic value indicates that the vehicle decelerates rapidly, and this sharp change may cause a greater impact on the components inside the refrigerator; while in the smooth acceleration condition, a steadily increasing acceleration characteristic value indicates that the vehicle motion is relatively gentle. These characteristic values play a role in simulating the actual vehicle motion in the simulation test, enabling the simulation test equipment to reproduce the motion state of the vehicle under different driving conditions, thereby evaluating the performance and durability of the in-vehicle refrigerator in actual use. The accuracy and comprehensiveness of the acceleration characteristic values directly affect the reliability of the simulation test results and are important factors to ensure the accuracy of the quality control and performance evaluation of the in-vehicle refrigerator.

[0071] Extracting the acceleration eigenvalue requires analyzing the actual motion data collected, mainly focusing on the acceleration changes of the vehicle under specific operations. For example, under the braking condition, focus on the deceleration value when the vehicle decelerates; under the acceleration or reverse condition, focus on the acceleration value when the vehicle accelerates; and under the turning condition, focus on the centripetal acceleration of the vehicle. These acceleration eigenvalues can be obtained through mathematical processing means such as filtering, integrating, and differentiating the sensor data. For example, the displacement can be obtained by integrating the accelerometer data, and the acceleration can be obtained by differentiating the velocity. At the same time, a peak detection algorithm can be used to determine the maximum acceleration and deceleration under specific conditions; or it can also be directly obtained through the data reading interface of the vehicle-mounted system.

[0072] In addition to the acceleration value, other eigenvalues related to the vehicle motion can also be extracted as needed, such as the angular velocity when the vehicle turns, or the vibration frequency on the bumpy road surface for optimizing the corresponding motion action time, etc. These eigenvalues together constitute the motion characteristics of the vehicle under different conditions, providing rich data support for the simulation test.

[0073] The process of extracting the acceleration eigenvalue can also be assisted by machine learning algorithms. By training a classifier or regression model, the acceleration eigenvalues related to specific conditions can be automatically identified and extracted from a large amount of sensor data. This method can improve the accuracy and efficiency of eigenvalue extraction, especially in the case of large and complex data.

[0074] Step S1300: Convert the acceleration eigenvalue into the centripetal acceleration corresponding to the rotation of the turntable in the working condition simulation test device;

[0075] Determining the corresponding relationship between the acceleration eigenvalues of the vehicle under different conditions and the centripetal acceleration value of the turntable in the working condition simulation test device can ensure that the test device can accurately simulate the impact of the actual vehicle motion on the vehicle-mounted refrigerator.

[0076] In one embodiment, the acceleration eigenvalue directly collected based on the actual motion data can be directly used as the centripetal acceleration. In some embodiments, to improve the accuracy of the simulation, multiple acceleration data points under the same working condition can be collected, and then the average value or median value of these data points can be calculated and used as the input value of the centripetal acceleration. This method can reduce the random error in a single measurement and provide more stable and reliable simulation parameters.

[0077] In actual operation, a most suitable conversion method can be determined according to the specific parameters of the test equipment and the actual motion data of the vehicle. For example, if the centripetal acceleration of the vehicle is relatively large during turning, it may be necessary to adjust the rotation speed of the turntable to ensure that the centrifugal acceleration generated by the turntable can simulate the actual motion state of the vehicle. In this way, it can be ensured that the turntable in the simulation test equipment can accurately reproduce the motion of the vehicle under various working conditions, providing a real test environment for the abnormal noise test of the in-vehicle refrigerator.

[0078] Step S1400: Create a simulation test case and store it in the use case database. Each simulation test case corresponds to each working condition and contains a set of working condition simulation parameters. The working condition simulation parameters include the centrifugal acceleration, motion direction, and motion action time determined according to the motion data.

[0079] After the extraction and conversion of the acceleration eigenvalue are completed, simulation test cases can be created and stored in the use case database. For this purpose, parameters such as the centrifugal acceleration, motion direction, and motion action time obtained previously are integrated for each working condition to form the working condition simulation parameters for each working condition, and the working condition simulation parameters of multiple working conditions are combined into a simulation test case. Each test case can be designed for one or more specific working conditions and can accurately simulate the motion characteristics of the vehicle under one or more working conditions.

[0080] Specifically, the determination of the working condition simulation parameters is based on the analysis results of the actual motion data. For example, if the analysis results show the deceleration eigenvalue of the vehicle during emergency braking, then this value will be set as the centrifugal acceleration parameter for the corresponding braking working condition. Similarly, the centripetal acceleration and motion action time of the vehicle during turning will also be set as the parameters for the turning working condition. These parameters together constitute a set of working condition simulation parameters, which can further be encapsulated into the simulation test case to guide the test equipment to simulate the motion of the vehicle under the corresponding working conditions.

[0081] When creating the simulation test case, various working condition combinations can be designed according to different requirements and test purposes. For example, a test case containing multiple consecutive working conditions can be created, such as first simulating acceleration, then simulating turning, and finally simulating braking, to evaluate the performance of the in-vehicle refrigerator during a series of complex motions. In addition, according to the capabilities of the test equipment, the specific values of the parameters can be adjusted to ensure the safety and effectiveness of the test. After the creation of the simulation test case is completed, these test cases will be stored in the use case database for subsequent test calls and data analysis.

[0082] In this embodiment, by collecting the actual motion data under different working conditions according to the actual application scenarios of the vehicle, constructing the working condition simulation parameters based on the actual motion data, further encapsulating the working condition simulation parameters into simulation test cases, and storing them in the use case database to complete the construction of the use case database, not only the fidelity of the simulation test cases is improved, but also the management of the test cases is facilitated, and the test efficiency is increased, because the testers can directly select the required test cases from the database for simulation testing without having to recreate them each time. In addition, the use case database can also be used as a knowledge base to accumulate and save historical test data, providing data support for future product improvement and test method optimization.

[0083] Based on any embodiment of the method of the present application, converting the working condition simulation parameters into electro-mechanical control parameters, and using the electro-mechanical control parameters to control the motor in a preset working condition simulation test device to drive the turntable to move, including:

[0084] Step S3210: Correspondingly determine the required rotation speed and rotation direction of the turntable according to the centripetal acceleration and motion direction included in each working condition simulation parameter;

[0085] After the control unit receives the working condition simulation parameters including the centripetal acceleration and motion direction, it is necessary to convert these parameters into specific control parameters of the motor, that is, electro-mechanical control parameters. The centripetal acceleration is directly related to the rotation speed of the turntable, because the turntable needs to rotate at a corresponding speed to simulate the acceleration generated by the vehicle under specific working conditions. For example, if the vehicle generates a specific deceleration during emergency braking, then the turntable needs to rotate at a speed that can generate a corresponding centripetal force to simulate the impact of this deceleration on the in-vehicle refrigerator. The rotation speed can be calculated through physical formulas. As described above, the required rotation speed is calculated through the relationship between the centripetal acceleration and the radius of the turntable.

[0086] The motion direction parameter determines the rotation direction of the turntable, which is particularly important for simulating the turning conditions of the vehicle. For example, if the vehicle generates a specific centripetal acceleration when turning left, then the turntable needs to rotate in the corresponding direction to simulate the impact of the vehicle turning left on the in-vehicle refrigerator. The control unit adjusts the control strategy of the motor according to the motion direction information provided in the working condition simulation parameters, so that the turntable rotates in the correct direction.

[0087] Step S3220: Take the determined rotation speed, rotation direction, and the motion action time included in the working condition simulation parameters as electro-mechanical control parameters, control the motor to rotate, so that the turntable moves according to the rotation speed and rotation direction, and maintains until the end of the motion action time.

[0088] In this step, the control unit generates precise control signals based on the rotational speed and rotation direction parameters determined in the previous steps. These signals will be used to drive the motor. After receiving the control signals, the motor starts the turntable at a predetermined rotational speed and rotation direction. For example, if the working condition simulation parameters require simulating the stability of a vehicle during high-speed driving, the control unit will send signals to make the motor run at the corresponding high speed, so that the turntable generates sufficient centrifugal force to simulate the dynamic environment of the vehicle during high-speed driving.

[0089] Meanwhile, the control unit also sets the duration of the test according to the motion action time specified in the working condition simulation parameters. This means that once the turntable starts to move according to the set parameters, the control unit will start a timer. When the set time is reached, the control unit will send a signal to the motor to make the turntable decelerate to a stop or continue to move according to new parameters to simulate the next working condition. For example, if a braking working condition needs to simulate the vehicle decelerating from high speed to a stop within 5 seconds, the control unit will ensure that the turntable accurately decelerates at the 5-second time point.

[0090] Throughout the process, the control unit is also responsible for monitoring the operating states of the motor and the turntable to ensure that they operate precisely according to the predetermined parameters. This may include adjusting the input power of the motor in real time, monitoring whether the rotational speed of the turntable conforms to the set value, and ensuring the stability of the turntable during movement. In addition, the control unit also needs to handle any possible deviations, such as rotational speed fluctuations caused by load changes or motor performance differences, and make corresponding adjustments to ensure the accuracy and consistency of the test.

[0091] It can be seen from this embodiment that when the valid parameters in the working condition simulation parameters are constrained, the working condition simulation test equipment can accurately simulate the movement of the vehicle under various working conditions, provide a real test environment for the in-vehicle refrigerator, and thus conduct effective abnormal noise tests. This method improves the accuracy and reliability of the test, and also enhances the repeatability and comparability of the test results, providing a solid foundation for the performance evaluation of the in-vehicle refrigerator.

[0092] Based on any embodiment of the method of the present application, the simulation test case includes multiple sets of working condition simulation test parameters. Among them, the first set of working condition simulation test parameters is set corresponding to the braking working condition of the vehicle carrying the in-vehicle refrigerator, the second set of working condition simulation test parameters is set corresponding to the turning working condition of the vehicle carrying the in-vehicle refrigerator, and the third set of working condition simulation test parameters is set corresponding to the acceleration or deceleration working condition of the vehicle carrying the in-vehicle refrigerator.

[0093] The design of the simulation test cases is to comprehensively simulate various dynamic working conditions that the in-vehicle refrigerator may encounter during actual vehicle use. These test cases consist of multiple groups of working condition simulation test parameters, and each group of parameters targets a specific vehicle movement working condition to ensure the comprehensiveness and accuracy of the test. In this embodiment, the simulation test cases are optimized by giving combinations of multiple working conditions, and different working conditions play a more active role, including:

[0094] First of all, the first group of working condition simulation test parameters specifically targets the braking condition of the vehicle. This group of parameters includes the deceleration of the vehicle during braking, the vehicle's speed change rate, and the duration during the braking process. These parameters can simulate the impact on the in-vehicle refrigerator when the vehicle decelerates from a moving state to a stop, which is crucial for evaluating the performance and stability of the refrigerator in case of emergency braking.

[0095] Secondly, the second group of working condition simulation test parameters targets the turning condition of the vehicle. This group of parameters covers the centripetal acceleration, turning radius, and duration during the turning of the vehicle. By simulating the lateral force and centripetal force generated when the vehicle turns, the performance of the in-vehicle refrigerator during curve driving can be evaluated, especially the stability and abnormal noise of the refrigerator in case of high-speed turning or sharp turning.

[0096] Furthermore, the third group of working condition simulation test parameters targets the acceleration or deceleration condition of the vehicle. This group of parameters includes the acceleration, speed change rate, and duration of acceleration or deceleration of the vehicle. These parameters are very important for simulating the impact on the in-vehicle refrigerator when the vehicle starts, overtakes, or goes uphill, etc., and can help evaluate the performance and durability of the refrigerator during these dynamic changes.

[0097] In addition, the fourth group of working condition simulation test parameters is set corresponding to the reverse condition of the vehicle with a moving in-vehicle refrigerator. Its parameter composition can be the same as that of the acceleration condition.

[0098] It can be seen that in this embodiment, by integrating the above simulation test parameters for working conditions such as braking, turning, acceleration, and reverse, a comprehensive simulation test case can be constructed, covering various movement situations that the in-vehicle refrigerator may encounter during actual use. By accurately simulating these working conditions, the test equipment can provide a real test environment for the in-vehicle refrigerator, thereby conducting effective abnormal noise tests and performance evaluations. Thereby, not only the efficiency and accuracy of the test are improved, but also the test cost is reduced, and the reliability and repeatability of the test results are improved, providing strong data support for the design optimization and quality control of the in-vehicle refrigerator.

[0099] Based on any embodiment of the method of this application, audio data formed by the audio acquisition device for audio acquisition of the in-vehicle refrigerator is obtained, and noise parameters of the in-vehicle refrigerator are determined based on the audio data, including:

[0100] Step S3310: Use an audio acquisition device to record in real time the audio data generated during the operation of the in-vehicle refrigerator during the staged movement.

[0101] In the working condition simulation test of the in-vehicle refrigerator, an audio acquisition device is used to capture the noise generated by the refrigerator during the simulated vehicle movement. Specifically, an audio acquisition device, such as a high-sensitivity microphone, is arranged in the test environment to record the running sound of the refrigerator in real time when it undergoes staged movement.

[0102] The audio acquisition device can capture the vibration sound of the refrigerator compressor, the noise of the fan operation, and other possible abnormal sounds. To ensure the accuracy and availability of the audio data, the acquisition device is usually placed near the refrigerator or directly installed inside the refrigerator to directly record the noise changes caused by the movement. During the staged movement, that is, each stage when the turntable simulates vehicle movement, the audio acquisition device continuously works and records all the sounds emitted by the refrigerator to form audio data.

[0103] These audio data include the responses of the refrigerator under different working conditions, such as the sound changes during simulated braking, turning, accelerating, or reversing. By detailed analysis of these audio data, the behavior patterns of the refrigerator under specific working conditions can be identified, thereby evaluating its performance and potential abnormal sound problems. The acquisition of audio data includes not only the intensity of the sound, but also may include the frequency, duration, and the pattern of sound changes of the sound, which are all important parameters for evaluating the abnormal sound performance of the refrigerator.

[0104] In actual operation, the audio acquisition device is connected to the control unit through a data cable or wirelessly to ensure that the audio data can be transmitted and stored in real time. These data will be used for subsequent noise analysis to determine the noise level of the refrigerator under different working conditions.

[0105] Step S3320: Preprocess the audio data, remove background noise and non-target frequency components, and extract the audio features corresponding to the sound of the in-vehicle refrigerator to obtain an abnormal sound feature spectrum.

[0106] The preprocessing of the audio data first requires filtering the audio signal originally collected by the audio acquisition device to eliminate the noise irrelevant to the abnormal sound of the refrigerator, such as environmental noise, electromagnetic interference, etc. This can be achieved through filters in digital signal processing technology, such as low-pass filters, high-pass filters, or band-pass filters, which can remove signals outside a specific frequency range according to needs. For example, if the sound during the normal operation of the refrigerator is mainly concentrated in the low-frequency band, then a high-pass filter can be used to remove the noise below the low frequency in the audio signal.

[0107] Next, perform spectral analysis on the filtered audio signal to extract audio features. Specifically, it can be achieved by converting the audio signal through the Fast Fourier Transform (FFT), converting the audio signal in the time domain into a frequency domain signal, thereby obtaining the frequency distribution of the sound as the abnormal sound feature spectrum. In the spectrum, the main noise components during the operation of the refrigerator can be identified, such as the compressor vibration sound, the fan operation sound, etc., which usually appear as peaks in the spectrum.

[0108] In addition, the preprocessing also includes amplitude correction and normalization processing of the audio signal to eliminate the influence brought by the volume difference under different recording conditions. Through these processes, the noise levels of the refrigerator under different test conditions can be compared more accurately.

[0109] During the preprocessing process, noise suppression algorithms can also be used to further reduce the influence of background noise, such as spectral subtraction, Wiener filtering, etc. These algorithms estimate the spectrum of the background noise and subtract the noise spectrum from the total spectrum to improve the clarity of the target sound in the signal.

[0110] After the above processing, the abnormal sound feature spectrum is obtained based on the audio data, providing a clear frequency domain view for evaluating the noise performance of the refrigerator. Based on this frequency domain view, the noise performance of the refrigerator under different working conditions can be accurately identified and analyzed.

[0111] Step S3330: Use the peak detection algorithm to determine the peaks of the abnormal sound feature spectrum, and determine the decibel value corresponding to the peak as the noise parameter of the vehicle-mounted refrigerator under the corresponding working condition.

[0112] Based on the preprocessing and feature extraction of the audio data, use the peak detection algorithm to determine the peaks in the abnormal sound feature spectrum, and accordingly determine the noise parameters of the vehicle-mounted refrigerator under the corresponding working conditions. The peak detection algorithm can identify the most significant noise components in the abnormal sound feature spectrum, and these components usually correspond to the peaks in the spectrum.

[0113] Specifically, the peak detection algorithm scans the entire abnormal sound feature spectrum to find the frequency points that reach local maxima. These peak points represent the frequency components with the most concentrated energy in the sound signal, and they are generally generated by the noise of the refrigerator's compressor, fan or other moving parts. The algorithm records the frequency and the corresponding amplitude (i.e., intensity) of each peak, and these data will be used to determine the noise parameters of the refrigerator.

[0114] During the peak detection process, different strategies can be adopted to determine the peaks. For example, set a threshold, and only the peaks exceeding this threshold are considered significant. In addition, the effectiveness of the peaks can be further confirmed by the width of the peaks and the distance between adjacent peaks to avoid misidentifying noise as the abnormal sound of the refrigerator.

[0115] After determining the peak value, convert the corresponding amplitude value to decibel value, which is a commonly used unit for measuring sound intensity. The calculation of decibel value is based on a logarithmic scale, which can better reflect the human ear's perception of sound intensity. By converting the amplitude of the peak value to decibel value, a quantified noise level index can be obtained, which is used to evaluate the noise performance of the refrigerator under different working conditions.

[0116] For example, if the amplitude corresponding to a peak value is 0.1 volts, it can be converted to decibel value according to the specific parameters of the sound signal acquisition and processing system. This conversion process usually involves comparing the voltage value with a reference value (such as the reference sound pressure level of 0.0002 volts) and applying logarithmic conversion. The obtained decibel value will be used as the noise parameter of the refrigerator under this specific working condition for subsequent performance evaluation and quality control.

[0117] Compared with other embodiments of the present application, the unique and significant technical advantage of this embodiment is that it can accurately capture and analyze the noise generated by the vehicle-mounted refrigerator during the simulated vehicle movement, so as to provide more detailed and accurate noise parameters. By using a high-sensitivity audio acquisition device to record the running sound of the refrigerator in real time and combining advanced digital signal processing technologies, such as fast Fourier transform and peak detection algorithms, this embodiment can extract key noise features from complex audio data and accurately determine the noise level. This method not only improves the accuracy and reliability of noise testing, but also enhances the repeatability and comparability of test results, providing strong data support for the design optimization, performance improvement and quality control of vehicle-mounted refrigerators. In addition, through the quantified noise parameters, this embodiment is convenient for comparing the performance of the refrigerator under different test conditions, providing an efficient, accurate and comprehensive test platform for manufacturers, accelerating the product development cycle, improving market competitiveness, and at the same time providing consumers with a safer and more reliable product choice.

[0118] Based on any embodiment of the method of the present application, after obtaining the audio data formed by the audio acquisition device for audio acquisition of the vehicle-mounted refrigerator and determining the noise parameters of the vehicle-mounted refrigerator based on the audio data, it includes:

[0119] Step S4100: Compare the noise parameters obtained by testing the vehicle-mounted refrigerator under the action of the simulation parameter groups of each working condition with the preset noise threshold of the corresponding working condition, and determine the noise score of the vehicle-mounted refrigerator under each working condition;

[0120] For each operating condition, after determining the noise parameters of the in-vehicle refrigerator based on audio data, these noise parameters can be compared with the preset noise thresholds for this operating condition to determine the noise score of the refrigerator under each specific operating condition. The noise thresholds are pre-set performance criteria, which represent the maximum acceptable noise level of the refrigerator under the corresponding operating conditions. These noise thresholds are set based on the design parameters of the refrigerator and the expected usage environment, and can vary depending on different vehicle models and refrigerator models.

[0121] When making the comparison, for each operating condition, the actual noise parameters collected during the test are matched one by one with these preset thresholds. For example, if the noise parameter in the test shows that the refrigerator generates 70 decibels of noise under the braking condition, and the preset noise threshold for this condition is 75 decibels, it is considered that the performance of the refrigerator under this condition is qualified. On the contrary, if the noise level exceeds the preset threshold, it is considered that the performance of the refrigerator under this condition does not meet the standard. Based on the comparison results corresponding to each operating condition, the noise score under the corresponding operating condition can be determined.

[0122] The noise score for each operating condition can be a simple pass / fail judgment, or a more detailed scoring system, such as a rating from 1 to 5, where 1 indicates that the noise level is far below the threshold, and 5 indicates that the noise level is far above the threshold. The noise score can not only intuitively reflect whether the refrigerator meets the noise standard, but also provide more details about its noise performance.

[0123] In actual operation, this comparison and scoring can be completed through an automated software system, which can receive the noise parameters and noise thresholds as inputs and output the noise score for each operating condition. This software system can be integrated into the in-vehicle refrigerator operating condition simulation test equipment, making the entire test and scoring process more efficient and accurate. In this way, manufacturers can quickly obtain the noise performance feedback of the refrigerator under different operating conditions and make product improvements accordingly.

[0124] Step S4200: Perform data fusion on the noise scores under each operating condition to determine a comprehensive score to characterize the overall noise performance of the in-vehicle refrigerator under multiple operating conditions;

[0125] After determining the noise score of the in-vehicle refrigerator under each operating condition, these noise scores can be fused to obtain the overall noise performance score of the refrigerator under multiple operating conditions. By summarizing and analyzing the noise scores under each operating condition, a comprehensive evaluation result can be provided to reflect the comprehensive noise performance of the refrigerator under different operating conditions.

[0126] There can be multiple methods for data fusion. A simple method is to calculate the average of the noise scores under all working conditions as the comprehensive score, thereby giving an overall noise level assessment. Another method is weighted average, where the noise scores for each working condition are assigned different weights according to their importance or frequency, and the weighted average result of the noise scores for multiple working conditions is used as the comprehensive score. For example, if the braking condition has the greatest impact on the noise performance of the in-vehicle refrigerator, then the noise score for this condition may be assigned a higher weight when calculating the comprehensive score.

[0127] In addition, more complex statistical methods or machine learning algorithms can be used for data fusion, such as principal component analysis (PCA) or clustering analysis. These methods can identify the main factors affecting the noise performance based on considering all working condition scores and give a comprehensive score accordingly.

[0128] After completing data fusion, the obtained comprehensive score can provide a manufacturer with an intuitive indicator to evaluate and compare the noise performance of different in-vehicle refrigerator models or different test batches. The comprehensive score can also be used as part of quality control to help the manufacturer identify and solve potential noise problems, thereby improving the overall performance and market competitiveness of the product.

[0129] Step S4300: Generate a personalized test report characterizing the noise performance of the in-vehicle refrigerator, and store the personalized test report associated with the unique identifier of the in-vehicle refrigerator in the traceability database. The personalized test report includes the working condition simulation parameters, noise parameters, and noise scores under each working condition, as well as the comprehensive score characterizing the overall noise performance.

[0130] In the current in-vehicle refrigerator market, the service ability of product quality traceability has not been popularized, and this ability is of great significance for product quality management and consumer trust. Product quality traceability can track the key information in the production, testing, and use processes of products, providing data support for product quality control and problem diagnosis. For in-vehicle refrigerators, providing a personalized test report means being able to accurately understand its performance at the factory stage, such as the noise performance under different working conditions in this embodiment, thus facilitating continuous improvement and optimization of the product.

[0131] The service of providing a personalized test report is precisely to meet this need. The personalized test report details the test results of the in-vehicle refrigerator under each working condition, including the working condition simulation parameters, noise parameters, and noise scores, as well as the comprehensive score. These information together constitute a comprehensive view of the refrigerator's noise performance. By associating the test report with the unique identifier of the refrigerator and storing it in the traceability database, the manufacturer can achieve traceability and analysis of the noise performance of each product.

[0132] The generation of personalized test reports involves collecting and integrating noise test data under various operating conditions. This data includes the noise levels measured under conditions such as braking, turning, accelerating, or reversing, as well as the comparison results with preset noise thresholds. The test report will also include the noise scores for each operating condition, and a comprehensive score calculated based on these scores, which reflects the overall noise performance of the refrigerator under a series of operating conditions.

[0133] The generation of the report can be achieved through an automated software system that can receive the test data as input and generate a detailed test report according to the format and content in the preset report template. These reports not only contain quantitative data but can also include qualitative analysis of the test results, such as possible causes of abnormal noise and improvement suggestions, providing in-depth insights for manufacturers.

[0134] The personalized test reports stored in the traceability database can be in various formats, such as PDF, HTML, or XML, etc., for easy access and reading by different users. The design of the database needs to consider data security, accessibility, and scalability to ensure that the information in the test reports can be effectively managed and protected. In this way, the noise performance data of each vehicle-mounted refrigerator can be stored for a long time and retrieved quickly, providing support for the full life cycle management of the product.

[0135] The unique and significant technical advantage of this embodiment lies in its ability to provide a comprehensive noise performance assessment for vehicle-mounted refrigerators and achieve product quality traceability. By comparing the noise parameters of the vehicle-mounted refrigerator under various operating conditions with the preset thresholds and determining the noise scores accordingly, this embodiment can accurately quantify the noise performance of the refrigerator and identify any deviations from the standards. Further, through data fusion technology, this embodiment can integrate the noise scores of each operating condition to obtain a comprehensive score that comprehensively reflects the overall noise performance of the refrigerator, which provides an intuitive indicator for manufacturers to evaluate and improve product performance. Finally, the generation and storage of personalized test reports in the traceability database not only enhance product transparency and trust but also provide a solid data foundation for product quality management, problem diagnosis, and continuous improvement. This comprehensive assessment and traceability ability give this embodiment an obvious advantage in ensuring product quality and enhancing market competitiveness.

[0136] Based on any embodiment of the method of this application, please refer to Figure 4 , before obtaining the simulation test cases corresponding to the abnormal noise performance test of the vehicle-mounted refrigerator, it includes:

[0137] Step S2100: Retrieve multiple simulation test cases obtained based on the actual motion data of the vehicle from the use case database, and each simulation test case contains the working condition simulation parameters corresponding to multiple working conditions;

[0138] In this embodiment, historical data in the use case database can be utilized, especially historical simulation test cases determined based on the actual motion data of the vehicle, to expand more simulation test cases, thereby saving the costs of constructing simulation test cases.

[0139] To this end, it is first necessary to retrieve multiple simulation test cases obtained based on the actual motion data of the vehicle from the use case database. These use cases were previously obtained through the collection and analysis of actual vehicle motion data and have been converted into a set of parameters that can be used for simulation testing. Each simulation test case contains a set of working condition simulation parameters corresponding to at least one specific working condition, such as centrifugal acceleration, motion direction, and motion action time. These parameters jointly describe the motion characteristics of the vehicle under specific working conditions and provide the necessary input conditions for simulation testing.

[0140] The use case database is a data set that stores these parameter sets, which allows test engineers to retrieve and select suitable test cases as needed. For example, if it is necessary to test the abnormal noise performance of an in-vehicle refrigerator during emergency braking, the engineer can retrieve test cases containing emergency braking working condition parameters from the database. These test cases may include data collected from different vehicles, different road surface conditions, or different speeds, thus providing diverse test scenarios.

[0141] In actual operation, the retrieval process can be carried out through a dedicated software interface, which allows users to quickly find the corresponding test cases according to specific query conditions, such as vehicle model, working condition type, or test results. In addition, the retrieval results can be presented in the form of a list or a chart to facilitate users to evaluate and select the most suitable test cases for simulation testing.

[0142] Step S2200: For each working condition, map the working condition simulation parameters of the corresponding working condition in multiple simulation test cases to a preset multi-dimensional numerical space to form scattered data points, and remove the outlier data points. The dimensions of the multi-dimensional numerical space respectively correspond to different parameter settings carried by the working condition simulation parameters;

[0143] In this embodiment, the working condition simulation parameters based on the actual motion data are regarded as a data point in the preset multi-dimensional numerical space, and each parameter in the working condition simulation parameters serves as a dimension in the multi-dimensional numerical space. By representing each set of working condition simulation parameters as a point in the multi-dimensional space, where each dimension corresponds to a specific parameter, such as centrifugal acceleration, motion direction, and motion action time. Such a multi-dimensional numerical space can intuitively represent the complexity of vehicle motion under different working conditions and provide a framework for analyzing and comparing the similarities and differences between different test cases.

[0144] For each specific working condition, all simulation test cases containing that working condition can be retrieved from the use case database. These test cases contain the working condition simulation parameters corresponding to that working condition. For example, if the focus is on the braking working condition of a vehicle, then all simulation test cases related to braking will be selected. Then, the working condition simulation parameters in these test cases are mapped into the same multi-dimensional numerical space, with each parameter constituting a dimension of this space. For example, the centripetal acceleration, direction of motion, and duration of motion action correspond to the X-axis, Y-axis, and Z-axis of a three-dimensional space respectively. In this way, the working condition simulation parameters of each test case form a data point in this multi-dimensional numerical space, and all data points related to the braking working condition will be mapped into this three-dimensional space, forming a set of data points regarding the braking working condition.

[0145] This set of data points reflects the parameter distribution of the vehicle's motion characteristics under the braking working condition and can be used to analyze the noise characteristics and behavior patterns of the in-vehicle refrigerator under the braking working condition. In this way, it is possible to more intuitively understand and compare the performance of different test cases under the same working condition, providing a basis for subsequent data analysis and the generation of simulation test cases.

[0146] Based on the pre-constructed multi-dimensional numerical space, to achieve the mapping of data points to the multi-dimensional numerical space, the specific numerical values of each working condition simulation parameter can be assigned to the corresponding dimension. For example, if the centripetal acceleration in a working condition simulation parameter is 5 m / s 2 , the direction of motion is 90 degrees, and the duration of motion action is 3 seconds, then the coordinates of the data point corresponding to this working condition simulation parameter in the multi-dimensional numerical space are (5, 90, 3). In this way, the parameter set of each test case can be mapped into the multi-dimensional numerical space to form a data point.

[0147] After the mapping is completed, theoretically, the data points corresponding to the same working condition are relatively evenly scattered within a local distribution space range in the corresponding multi-dimensional numerical space, but it cannot be excluded that there are some abnormal data points. Therefore, the outlier points in the set of data points can also be removed. Outlier points refer to those points that are significantly different from most data points and may be caused by measurement errors or extreme conditions. Removing these outlier points can improve the accuracy and reliability of data analysis. The identification of outlier points can be achieved through statistical methods, such as the standard deviation method or the quartile method.

[0148] In one embodiment, the identification and processing of outliers can be carried out through the following steps: First, determine the statistical characteristics of each parameter in the data point set, such as the mean and standard deviation. Taking the three parameters of centrifugal acceleration, motion direction, and motion action time as an example, calculate the mean and standard deviation of these parameters in the entire data point set. Then, set a threshold. For example, it is stipulated that if any parameter value exceeds the range of the mean ± 3 times the standard deviation, then this point is considered an outlier. Specifically, for the centrifugal acceleration parameter, calculate the mean and standard deviation of the acceleration values of all relevant data points, and then find those points whose acceleration values are lower than the mean minus 3 times the standard deviation or higher than the mean plus 3 times the standard deviation. These points are considered outliers and are marked. The same calculation method also applies to the motion direction and motion action time parameters. After the marking is completed, these outliers will be removed from the data set, leaving valid data points for subsequent analysis.

[0149] After the removal of outliers, a set of "clean" data points is obtained, which more accurately reflects the parameter distribution of the test case. This process not only helps to understand the behavior of the in-vehicle refrigerator under different working conditions but also provides a solid foundation for the generation of subsequent simulation test cases.

[0150] Step S2300: For each working condition, determine the distribution space that minimizes the enclosing of all the remaining data points corresponding to this working condition, randomly determine a spatial position in the distribution space, and construct the parameters obtained from the corresponding dimensions of this spatial position as the new working condition simulation parameters for the corresponding working condition.

[0151] After removing outliers, for each specific working condition, determine a distribution space that can minimize the enclosing of all the remaining data points, and randomly determine a new spatial position within this space, new working condition simulation parameters can be generated, thereby realizing the expansion of the existing simulation test cases and increasing the coverage and diversity of the test by creating a new parameter set.

[0152] Multiple mathematical techniques can be used to determine the method of minimizing the enclosing distribution space, such as the ConvexHull algorithm or the K-dimensional tree (K-D tree) algorithm. These algorithms can define a boundary that can contain all non-outlier data points while minimizing the volume of the boundary. For example, the ConvexHull algorithm will form a polygon (in two-dimensional space) or a polyhedron (in three-dimensional space) that contains all the data points without any data points outside this polygon or polyhedron.

[0153] After determining the distribution space that encloses all the remaining data points, the next step is to randomly determine new spatial positions within this distribution space. This can be achieved through various random sampling techniques, such as uniform random sampling or the Monte Carlo method. These methods can randomly generate new points within the defined boundaries, and these points represent new sets of working condition simulation parameters.

[0154] For each newly determined spatial position, the values corresponding to each dimension are used as new working condition simulation parameters. For example, if the distribution space is defined in a three-dimensional space and a point (X, Y, Z) is randomly selected, then these three coordinate values can respectively correspond to the new parameter values of centrifugal acceleration, movement direction, and movement action time. In this way, each new spatial position constructs a new set of working condition simulation parameters.

[0155] Through this method, new working condition simulation parameters can be systematically generated. These parameters are not only based on actual vehicle motion data but also can explore new motion states and conditions that are not covered by existing test cases. This enhances the comprehensiveness of the simulation test and helps to more accurately predict and evaluate the performance of the in-vehicle refrigerator under various actual usage scenarios.

[0156] Step S2400: Package the new working condition simulation parameters generated for multiple working conditions into extended simulation test cases and store them in the use case database for future invocation and acquisition.

[0157] After generating the new working condition simulation parameters, package these parameters into extended simulation test cases and store them in the use case database for future simulation tests.

[0158] Packaging the new working condition simulation parameters includes assigning a unique identifier to each parameter set and associating the parameter values with the corresponding working conditions. For example, if the newly generated parameter set is for the vehicle emergency braking working condition, then this parameter set will be marked as the emergency braking working condition, and the corresponding parameter values such as centrifugal acceleration, movement direction, and movement action time will be stored.

[0159] One or more working condition simulation parameters can be packaged into new simulation test cases. Each packaged simulation test case needs to contain sufficient information to reproduce the corresponding vehicle motion working condition in the simulation test device. In practice, the extended working condition simulation parameters corresponding to multiple working conditions can be assembled as needed to construct new simulation test cases. Among them, for each working condition, multiple sets of working condition simulation parameters under this working condition can also be assembled into the simulation test case to achieve a more complex definition.

[0160] After completing the packaging of the simulation test cases, they can be stored in the use case database, and the corresponding extended identifier can be added to distinguish them from the simulation test cases generated based on motion data, thereby enriching the samples in the use case database.

[0161] The unique and remarkable technical advantages of this embodiment lie in:

[0162] First of all, this embodiment can efficiently expand and enrich the simulation test case library while maintaining the relevance and practicality of the test cases. By retrieving historical simulation test cases obtained from actual vehicle motion data from the use case database and mapping their parameters to a multi-dimensional numerical space, not only can the existing test data be reused, but also the distribution space enclosing the data points can be determined to be minimized through mathematical algorithms, and then new operating condition simulation parameters can be randomly generated within this space. This method effectively simulates the motion characteristics of the vehicle under various operating conditions, improving the coverage and diversity of the simulation test.

[0163] Secondly, this embodiment ensures the quality of the data and the accuracy of the analysis by removing outliers, avoiding the influence of abnormal data on the test results. Using random sampling technology to generate new operating condition simulation parameters within the determined distribution space, this embodiment can create new test scenarios that may cover situations not encountered in actual use or not covered by historical data, thus enhancing the predictability and adaptability of the test.

[0164] Finally, packaging these newly generated operating condition simulation parameters into extended simulation test cases and storing them in the use case database provides more options and flexibility for future simulation tests. This method not only improves the generation efficiency of test cases, reduces the test cost, but also improves the systematicness and scientific nature of the test, providing more comprehensive and reliable data support for the performance evaluation and quality control of the in-vehicle refrigerator. Therefore, this embodiment has obvious advantages in improving the efficiency, accuracy, and comprehensiveness of the simulation test, helping manufacturers optimize product designs, improve product quality, and ultimately enhance the market competitiveness of the products.

[0165] Please refer to Figure 5 , a device for simulating the operating conditions of an in-vehicle refrigerator provided according to one aspect of the present application, including a use case calling module 3100, a test running module 3200, and a noise detection module 3300. Among them, the use case calling module 3100 is configured to obtain a simulation test case corresponding to testing the abnormal noise performance of the in-vehicle refrigerator, and the simulation test case includes operating condition simulation parameters; the test running module 3200 is configured to convert the operating condition simulation parameters into electromechanical control parameters, use the electromechanical control parameters to control the motor in a preset operating condition simulation test device to drive the turntable to move, so that the turntable drives the in-vehicle refrigerator to simulate the staged motion process; the noise detection module 3300 is configured to obtain audio data formed by audio collection of the in-vehicle refrigerator by an audio collection device, and determine the noise parameters of the in-vehicle refrigerator based on the audio data.

[0166] Based on any embodiment of the device of the present application, the device of the present application further includes: a motion data acquisition module configured to acquire the actual motion data of the vehicle carrying the vehicle-mounted refrigerator under different working conditions; an acceleration feature extraction module configured to extract the corresponding acceleration feature values of the vehicle under multiple target working conditions according to the actual motion data; a speed data conversion module configured to convert the acceleration feature values into the centrifugal acceleration corresponding to the rotation of the turntable in the working condition simulation test device; a user creation and storage module configured to create simulation test cases and store them in the use case database, and each simulation test case corresponds to each working condition and includes a set of working condition simulation parameters, and the working condition simulation parameters include the centrifugal acceleration, motion direction, and motion action time determined according to the motion data.

[0167] Based on any embodiment of the device of the present application, the test operation module 3200 includes: a parameter conversion and determination module configured to correspondingly determine the required rotation speed and rotation direction of the turntable according to the centrifugal acceleration and motion direction included in each working condition simulation parameter; an electromechanical control execution module configured to use the determined rotation speed, rotation direction, and the motion action time included in the working condition simulation parameters as electromechanical control parameters to control the rotation of the motor, so that the turntable moves according to the rotation speed and rotation direction and maintains until the end of the motion action time.

[0168] Based on any embodiment of the device of the present application, the simulation test case includes multiple sets of working condition simulation test parameters. Among them, the first set of working condition simulation test parameters is set corresponding to the braking working condition of the vehicle carrying the vehicle-mounted refrigerator, the second set of working condition simulation test parameters is set corresponding to the turning working condition of the vehicle carrying the vehicle-mounted refrigerator, the third set of working condition simulation test parameters is set corresponding to the acceleration or deceleration working condition of the vehicle carrying the vehicle-mounted refrigerator, and the fourth set of working condition simulation test parameters is set corresponding to the reverse working condition of the vehicle carrying the vehicle-mounted refrigerator.

[0169] Based on any embodiment of the device of the present application, the noise detection module 3300 includes: an audio data recording module configured to use an audio acquisition device to record the audio data generated during the operation of the vehicle-mounted refrigerator in real time during the staged motion process; an audio feature extraction module configured to preprocess the audio data, remove background noise and non-target frequency components, and extract the audio features corresponding to the noise of the vehicle-mounted refrigerator to obtain an abnormal noise feature spectrum; a noise parameter determination module configured to use a peak detection algorithm to determine the peak of the abnormal noise feature spectrum and determine the decibel value corresponding to the peak as the noise parameter of the vehicle-mounted refrigerator under the corresponding working condition.

[0170] Based on any embodiment of the device in the present application, the device of the present application further includes: a noise score determination module configured to compare the noise parameters obtained by testing the vehicle-mounted refrigerator under the action of the simulation parameters of each group of working conditions with the preset noise thresholds of the corresponding working conditions, and determine the noise score of the vehicle-mounted refrigerator under each working condition; a comprehensive score determination module configured to perform data fusion on the noise scores under each working condition to determine a comprehensive score to characterize the overall noise performance of the vehicle-mounted refrigerator under multiple working conditions; a traceability report preparation module configured to generate a personalized test report characterizing the noise performance of the vehicle-mounted refrigerator, and store the personalized test report associated with the unique identifier of the vehicle-mounted refrigerator in a traceability database, where the personalized test report includes the simulation parameters of each working condition, the noise parameters and the noise scores under each working condition, and the comprehensive score characterizing the overall noise performance.

[0171] Based on any embodiment of the device in the present application, the device of the present application further includes: a historical use case invocation module 3100 configured to retrieve a plurality of simulation test cases obtained based on the actual motion data of the vehicle from a use case database, and each simulation test case includes the simulation parameters of a plurality of working conditions corresponding thereto; a numerical space mapping module configured to, for each working condition, map the simulation parameters of the corresponding working condition in a plurality of simulation test cases into a preset multi-dimensional numerical space to form scattered data points, and remove the outlier data points therefrom, where the dimensions of the multi-dimensional numerical space respectively correspond to different parameter settings carried by the simulation parameters of the working condition; a distribution space determination module configured to, for each working condition, determine a distribution space that minimizes the enclosing of all the remaining data points corresponding to the working condition, randomly determine a spatial position in the distribution space, and construct the parameters obtained by corresponding the spatial position to each dimension as the new simulation parameters of the corresponding working condition; a test case extension module configured to encapsulate the new simulation parameters generated for a plurality of working conditions into an extended simulation test case and store it in the use case database for subsequent invocation and acquisition.

[0172] Another embodiment of the present application further provides a vehicle-mounted refrigerator working condition simulation test device. As Figure 6 shown, it is a schematic internal structure diagram of the vehicle-mounted refrigerator working condition simulation test device. The vehicle-mounted refrigerator working condition simulation test device includes a processor, a computer-readable storage medium, a memory and a network interface connected through a system bus. Among them, the computer-readable non-volatile storage medium of the vehicle-mounted refrigerator working condition simulation test device stores an operating system, a database and computer-readable instructions, and the database can store information sequences. When the computer-readable instructions are executed by the processor, the processor can implement a vehicle-mounted refrigerator working condition simulation test method.

[0173] The processor of the vehicle-mounted refrigerator working condition simulation test device is used to provide computing and control capabilities to support the operation of the entire vehicle-mounted refrigerator working condition simulation test device. Computer-readable instructions can be stored in the memory of the vehicle-mounted refrigerator working condition simulation test device. When the computer-readable instructions are executed by the processor, the processor can execute the vehicle-mounted refrigerator working condition simulation test method of this application. The network interface of the vehicle-mounted refrigerator working condition simulation test device is used to connect and communicate with the terminal.

[0174] Those skilled in the art can understand that Figure 6 the structure shown in is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the vehicle-mounted refrigerator working condition simulation test device to which the solution of this application is applied. The specific vehicle-mounted refrigerator working condition simulation test device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0175] In this embodiment, the processor is used to execute Figure 5 the specific functions of each module in. The memory stores the program codes and various types of data required to execute the above modules or sub-modules. The network interface is used to implement data transmission between the user terminal or the server. In this embodiment, the non-volatile readable storage medium stores the program codes and data required to execute all modules in the vehicle-mounted refrigerator working condition simulation test device of this application, and the server can call the program codes and data of the server to execute the functions of all modules.

[0176] This application also provides a non-volatile readable storage medium storing computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors are caused to execute the steps of the vehicle-mounted refrigerator working condition simulation test method of any embodiment of this application.

[0177] This application also provides a computer program product, including computer programs / instructions. When the computer programs / instructions are executed by one or more processors, the steps of the method described in any embodiment of this application are implemented.

[0178] Those of ordinary skill in the art can understand that to implement all or part of the processes in the above embodiments of the method of this application, it can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, the foregoing storage medium can be a computer-readable storage medium such as a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM), etc.

[0179] In summary, the present application has realized a complete technical solution for the simulation test of the working conditions of in-vehicle refrigerators, covering multiple links from the acquisition of simulation test cases, the conversion of working condition simulation parameters, the precise control of electromechanical control parameters, to the acquisition and analysis of audio data. In this way, the present application not only improves the test efficiency and accuracy, reduces costs, but also enhances the consistency and repeatability of test conditions, and reduces the interference of human factors. In addition, the present application can simulate various vehicle motion states including extreme or rare working conditions, expands the coverage of the test, and improves the performance guarantee of the product in different environments. Through the real-time recording by the audio acquisition device and the data-based analysis of noise parameters, the present application can accurately identify and locate abnormal noise problems, facilitate the analysis, comparison of problems and subsequent product improvement, thereby improving the overall performance and reliability of the in-vehicle refrigerator. The application advantages of these technical solutions are that they can provide a manufacturer with an efficient, accurate and comprehensive test platform, accelerate the product development cycle, improve market competitiveness, and at the same time provide consumers with a safer and more reliable product choice.

Claims

1. A vehicle refrigerator working condition simulation test method, characterized in that: include: Acquire a simulation test case corresponding to the abnormal sound performance of the vehicle refrigerator, wherein the simulation test case includes a working condition simulation parameter, and the working condition simulation test parameter describes a staged motion process of a vehicle carrying the vehicle refrigerator through multiple parameters; Converting the working condition simulation parameters into electromechanical control parameters, and using the electromechanical control parameters to control a motor in a preset working condition simulation test device to drive the turntable to move, so that the turntable drives the vehicle refrigerator to simulate the staged motion process; Audio data generated by audio collection of the vehicle refrigerator by an audio collection device is acquired, and noise parameters of the vehicle refrigerator are determined based on the audio data.

2. The vehicle refrigerator operating condition simulation test method according to claim 1, characterized in that: Before obtaining the simulation test cases corresponding to the abnormal noise performance of the vehicle refrigerator, including: Collect actual movement data of vehicles used to transport car refrigerators under different working conditions; Extracting acceleration characteristic values ​​corresponding to the vehicle under multiple target working conditions according to the actual motion data; Converting the acceleration characteristic value into the centrifugal acceleration corresponding to the rotation of the turntable in the working condition simulation test equipment; The created simulation test cases are stored in the case database, each simulation test case corresponding to each working condition includes a set of working condition simulation parameters, and the working condition simulation parameters include centrifugal acceleration, motion direction and motion action time determined according to the motion data.

3. The vehicle refrigerator operating condition simulation test method according to any one of claim 1, characterized in that: The working condition simulation parameters are converted into electromechanical control parameters, and the electromechanical control parameters are used to control a motor in a preset working condition simulation test device to drive the turntable to move, including: According to the centrifugal acceleration and movement direction included in the simulation parameters of each working condition, the required speed and rotation direction of the turntable are determined accordingly; The determined rotation speed, rotation direction and motion action time included in the working condition simulation parameters are used as electromechanical control parameters to control the rotation of the motor so that the turntable moves at the speed and rotation direction and maintains the movement until the motion action time ends.

4. The vehicle refrigerator operating condition simulation test method according to claim 1, characterized in that: The simulation test case includes multiple groups of operating condition simulation test parameters, wherein a first group of operating condition simulation test parameters correspond to the braking condition settings of a vehicle carrying a vehicle refrigerator, a second group of operating condition simulation test parameters correspond to the turning condition settings of a vehicle carrying a vehicle refrigerator, a third group of operating condition simulation test parameters correspond to the acceleration or deceleration condition settings of a vehicle carrying a vehicle refrigerator, and a fourth group of operating condition simulation test parameters correspond to the reversing condition settings of a vehicle carrying a moving vehicle refrigerator.

5. The vehicle refrigerator operating condition simulation test method according to any one of claims 1 to 4, characterized in that: Acquiring audio data generated by audio acquisition equipment for the vehicle refrigerator, and determining noise parameters of the vehicle refrigerator based on the audio data, including: Using an audio acquisition device to record in real time the audio data generated by the vehicle refrigerator during operation during the staged movement; Preprocessing the audio data to remove background noise and non-target frequency components, extracting audio features corresponding to the sound of the vehicle refrigerator, and obtaining an abnormal sound feature spectrum; The peak value of the abnormal sound characteristic spectrum is determined by using a peak detection algorithm, and the decibel value corresponding to the peak value is determined as the noise parameter of the vehicle refrigerator under the corresponding working condition.

6. The vehicle refrigerator operating condition simulation test method according to any one of claims 1 to 4, characterized in that: After acquiring audio data generated by audio collection equipment for the vehicle refrigerator, and determining noise parameters of the vehicle refrigerator based on the audio data, the method includes: The noise parameters obtained by testing the vehicle refrigerator under the action of each group of working condition simulation parameters are compared with the preset noise threshold of the corresponding working condition to determine the noise score of the vehicle refrigerator under each working condition; The noise scores under various working conditions are fused to determine a comprehensive score to characterize the overall noise performance of the vehicle refrigerator under multiple working conditions. Generate a personalized test report characterizing the noise performance of the vehicle refrigerator, and store the personalized test report in a traceability database in association with the unique identifier of the vehicle refrigerator. The personalized test report includes operating simulation parameters, noise parameters and noise scores under various operating conditions, as well as a comprehensive score characterizing the overall noise performance.

7. The vehicle refrigerator operating condition simulation test method according to any one of claims 1 to 4, characterized in that: Before obtaining the simulation test cases corresponding to the abnormal noise performance of the vehicle refrigerator, including: Retrieving multiple simulation test cases obtained based on actual motion data of the vehicle from a case database, each simulation test case including working condition simulation parameters corresponding to multiple working conditions; For each working condition, the working condition simulation parameters of the corresponding working condition in multiple simulation test cases are mapped to a preset multi-dimensional numerical space to become scattered data points, and outlier data points are removed, and the dimensions of the multi-dimensional numerical space respectively correspond to different parameter settings carried by the working condition simulation parameters; For each working condition, determine the distribution space that minimizes all remaining data points corresponding to the working condition, randomly determine a spatial position in the distribution space, and construct the parameters obtained from each dimension corresponding to the spatial position as new working condition simulation parameters for the corresponding working condition; The new working condition simulation parameters generated corresponding to multiple working conditions are encapsulated into extended simulation test cases and stored in the case database for future call acquisition.

8. A vehicle refrigerator operating condition simulation test device, characterized in that: include: A case calling module is configured to obtain a simulation test case corresponding to the abnormal sound performance of the vehicle refrigerator, wherein the simulation test case includes working condition simulation parameters; a test operation module, configured to convert the working condition simulation parameters into electromechanical control parameters, and use the electromechanical control parameters to control a motor in a preset working condition simulation test device to drive the turntable to move, so that the turntable drives the vehicle refrigerator to simulate the staged motion process; The noise detection module is configured to obtain audio data generated by an audio acquisition device performing audio acquisition on the vehicle refrigerator, and determine noise parameters of the vehicle refrigerator based on the audio data.

9. A vehicle refrigerator operating condition simulation test device, characterized in that: The invention comprises a motor, a turntable driven to rotate by the motor, an audio acquisition device, and a control unit electrically connected to the motor and the audio acquisition device respectively, wherein the turntable is provided with a vehicle refrigerator installation portion, the audio acquisition device is used to collect audio data generated by the sound of the vehicle refrigerator, and the control unit comprises a central processing unit and a memory, wherein the central processing unit is used to call and run a computer program stored in the memory to execute the steps of the method according to any one of claims 1 to 7, so as to realize a working condition simulation test of the vehicle refrigerator.

10. A non-volatile readable storage medium, characterized in that: It stores a computer program implemented according to the method described in any one of claims 1 to 7 in the form of computer-readable instructions, and when the computer program is called and executed by a computer, the steps included in the corresponding method are executed.

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