Vehicle refrigerator compressor control method, device and equipment, vehicle refrigerator and vehicle

Abstract

This application provides a method, apparatus, device, vehicle refrigerator, and vehicle for controlling a vehicle refrigerator compressor, relating to the field of vehicle technology. The method includes acquiring the resonant speed of the vehicle refrigerator compressor and a pre-constructed set of operating speeds; the pre-constructed set of operating speeds includes compressor speeds corresponding to different vibration and noise performance characteristics; selecting a target operating speed from the pre-constructed set of operating speeds that avoids the resonant speed, and controlling the compressor to operate at the target operating speed. This application alleviates the limitations of traditional methods that solely limit speed in pursuit of NVH (Noise, Vibration, and Harshness), achieving a dynamic balance between NVH performance and cooling efficiency in vehicle refrigerators, effectively resolving the contradiction between slow cooling and vibration noise, and significantly improving user experience and overall vehicle comfort.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method, apparatus, equipment, vehicle refrigerator, and vehicle for controlling a vehicle refrigerator compressor. Background Technology

[0002] To meet the requirements of quietness inside the vehicle, existing in-vehicle refrigerators typically use software strategies to hard limit the maximum speed of the compressor in order to avoid generating significant vibration and noise.

[0003] However, this limitation results in insufficient compressor cooling power and a slow cooling rate. For example, in short-distance driving scenarios (such as less than 1 hour), when the vehicle arrives at its destination and is locked, the temperature of the items inside the refrigerator often has not yet dropped to the set value, affecting the user's actual experience of using the refrigeration function. Summary of the Invention

[0004] The purpose of this application is to provide a method, apparatus, equipment, vehicle refrigerator and vehicle for controlling a vehicle refrigerator compressor, so as to alleviate the above-mentioned technical problems existing in the prior art.

[0005] In a first aspect, the present invention provides a method for controlling a vehicle-mounted refrigerator compressor, comprising: Obtain the resonant speed of the vehicle refrigerator compressor; Target operating speeds that avoid the resonant speed are selected from a pre-constructed set of operating speeds; the set of operating speeds includes compressor speeds corresponding to different vibration and noise performance levels; Control the compressor to operate at the target operating speed.

[0006] In an optional implementation, obtaining the resonant rotational speed of the vehicle refrigerator compressor includes: Acquire pre-stored real vehicle frequency sweep test data; Based on the actual vehicle frequency sweep test data, the resonant rotation speed that causes resonance in the vehicle body or refrigerator compartment was identified.

[0007] In an optional implementation, pre-stored real-vehicle frequency sweep test data is acquired, including: During the frequency sweep operation of the vehicle refrigerator compressor from the lowest speed to the highest speed, the noise values ​​at each speed are recorded by microphones arranged around the vehicle refrigerator, and the vibration values ​​at each speed are recorded by accelerometers arranged on the surface and guard plate of the passenger dashboard armrest. The noise and vibration values ​​at various speeds were used as the actual vehicle frequency sweep test data.

[0008] In an optional implementation, before selecting a target operating speed that avoids the resonant speed from a pre-built set of operating speeds, the method further includes: Multiple RPM levels were obtained from real vehicle frequency sweep test data; The set of operating speeds is constructed based on the multiple speed ranges.

[0009] In an optional implementation, the set of operating speeds is constructed based on the plurality of speed gears, including: Select the speed gears corresponding to different vibration and noise performance levels from the multiple speed gears; The set of operating speeds is constructed based on the speed ranges corresponding to different vibration and noise performance levels.

[0010] In an optional implementation, selecting a target operating speed that avoids the resonant speed from a pre-built set of operating speeds includes: Real-time acquisition of vehicle driving status signals and occupant status signals; Based on the vehicle driving status signal and the occupant status signal, a target operating speed that avoids the resonant speed is selected from the pre-constructed set of operating speeds.

[0011] In an optional implementation, based on the vehicle driving state signal and the occupant state signal, a target operating speed that avoids the resonant speed is selected from the pre-constructed set of operating speeds, including: Based on the vehicle driving status signal and the occupant status signal, determine the current scene type; The target operating speed is selected from the pre-built set of operating speeds based on the scenario type.

[0012] In an optional implementation, the vehicle driving status signal includes the vehicle's real-time speed signal, and the occupant status signal includes the occupant's presence status signal. Based on the vehicle driving status signal and the occupant status signal, determine the current scenario type, including: When the real-time vehicle speed signal is zero and the presence status signal indicates that there is someone in the vehicle, the current scenario type is determined to be a static parking scenario with people in the vehicle. When the real-time vehicle speed signal is zero and the presence status signal indicates that there is no one in the vehicle, it is determined that the current scene type is a static parking unmanned scene. When the real-time vehicle speed signal is greater than zero and less than or equal to a preset low-speed threshold, the current scene type is determined to be a low-speed driving scene. When the real-time vehicle speed signal is greater than a preset high-speed threshold, the current scene type is determined to be a high-speed driving scene.

[0013] In an optional implementation, selecting a corresponding target operating speed from the pre-built set of operating speeds based on the scenario type includes: When the current scenario is a static parking scenario with people, the speed gear corresponding to the first vibration and noise performance level is selected from the pre-built set of operating speeds as the target operating speed; When it is determined that the current scenario is a static parking unmanned scenario, the speed gear corresponding to the third vibration and noise performance level is selected from the pre-constructed set of working speeds as the target working speed; When it is determined that the current scene type is a low-speed driving scene, the speed gear corresponding to the second vibration and noise performance level is selected from the pre-constructed set of working speeds as the target working speed; When it is determined that the current scenario is a high-speed driving scenario, the speed gear corresponding to the third vibration and noise performance level is selected from the pre-constructed set of working speeds as the target working speed; Among them, the speed range corresponding to the first vibration and noise performance level is greater than the speed range corresponding to the second vibration and noise performance level, and greater than the speed range corresponding to the third vibration and noise performance level.

[0014] In an optional implementation, the method further includes: Obtain the real-time temperature inside the vehicle refrigerator; If the real-time temperature is lower than the preset shutdown temperature threshold, the compressor will be shut down. If the real-time temperature rises back to the preset restart temperature threshold, the compressor is controlled to restart.

[0015] In an optional implementation, the preset restart temperature threshold is higher than the preset shutdown temperature threshold.

[0016] In a second aspect, the present invention provides a vehicle-mounted refrigerator compressor control device, comprising: The resonant speed acquisition unit is used to acquire the resonant speed of the on-board refrigerator compressor; A speed screening unit is used to select target operating speeds that avoid the resonant speed from a pre-constructed set of operating speeds; the set of operating speeds includes compressor speeds corresponding to different vibration and noise performance levels; The control unit is used to control the compressor to operate at the target operating speed.

[0017] Thirdly, the present invention provides a vehicle-mounted refrigerator compressor control device, comprising: Memory, used to store computer programs; A processor is configured to execute the computer program to implement the steps of the vehicle refrigerator compressor control method as described in any of the foregoing embodiments.

[0018] Fourthly, the present invention provides a vehicle-mounted refrigerator, comprising: Refrigerator body; A compressor, located in the refrigerator body, is used to provide cooling capacity to the refrigerator body; As described in the foregoing embodiments, the vehicle-mounted refrigerator compressor control device is electrically connected to the compressor and is used to control the operation of the compressor.

[0019] Fifthly, the present invention provides a vehicle comprising: Body; The vehicle-mounted refrigerator as described in the foregoing embodiments is located inside the vehicle body.

[0020] The vehicle-mounted refrigerator compressor control method, device, equipment, vehicle-mounted refrigerator, and vehicle provided in this application obtain the resonant speed of the vehicle-mounted refrigerator compressor and establish a pre-constructed set of operating speeds containing different NVH performance levels. This pre-emptively eliminates dangerous speed zones that could cause structural resonance, fundamentally preventing abnormal vibration and noise during compressor operation. Based on this, a target operating speed that avoids the resonant speed is selected from this set and the compressor operation is controlled, ensuring that the compressor always operates at a safe and controllable speed setting. This guarantees quiet comfort and provides a reliable basis for on-demand speed adjustment. This method alleviates the limitations of traditional methods that simply limit speed in pursuit of NVH, achieving a dynamic balance between NVH performance and cooling efficiency in vehicle-mounted refrigerators. It effectively resolves the contradiction between slow cooling and vibration noise, significantly improving user experience and overall vehicle comfort. Attached Figure Description

[0021] To more clearly illustrate the technical solutions in the specific embodiments of this application or the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0022] Figure 1 A flowchart of a vehicle-mounted refrigerator compressor control method provided in this application embodiment; Figure 2 A flowchart for frequency sweep testing of NVH performance of a vehicle refrigerator compressor is provided as an embodiment of this application; Figure 3 A flowchart illustrating a vehicle-mounted refrigerator compressor speed control strategy is provided in an embodiment of this application. Figure 4 A structural diagram of a vehicle-mounted refrigerator compressor control device provided in an embodiment of this application; Figure 5This is a structural diagram of a vehicle-mounted refrigerator compressor control device provided in an embodiment of this application. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. The components of the embodiments of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0024] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0025] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0026] This application provides a method for controlling a vehicle-mounted refrigerator compressor; see [link to relevant documentation]. Figure 1 As shown, the method mainly includes the following steps: S110, obtain the resonant speed of the vehicle refrigerator compressor.

[0027] Resonance speed refers to the speed at which the compressor's excitation frequency couples with the natural frequency of the vehicle's sub-dashboard, refrigerator body, or other adjacent structural components, causing structural resonance and resulting in a sharp increase in in-vehicle noise and vibration. By conducting real-vehicle frequency sweep tests to obtain the noise decibel and vibration acceleration values ​​at each speed point, and analyzing the collected data, the speed range causing resonance can be identified.

[0028] S120, Select a target operating speed that avoids the resonance speed from a pre-constructed set of operating speeds; the set of operating speeds includes compressor speeds corresponding to different vibration and noise performance levels.

[0029] The pre-built set of operating speeds is a group of speed ranges at which the compressor can operate safely, calibrated through prior real-vehicle frequency sweep tests. These speed ranges completely avoid the resonance region and are divided into different levels based on the quality of vibration and noise performance, such as the speed providing the best NVH performance, the speed balancing NVH and cooling capacity, and the highest safe speed that prioritizes cooling rate. This set serves as the basic database for subsequent scenario-based speed selection.

[0030] In one implementation, the vehicle refrigerator to be tested can be fixed in a predetermined location inside the vehicle (e.g., inside the center console or trunk) using a mass production assembly method. Noise sensors and vibration acceleration sensors are placed around the refrigerator and in key areas such as the passenger-side dashboard armrest. The refrigerator is activated in cooling mode, and the compressor is controlled to smoothly increase from the minimum permissible speed to the maximum permissible speed, recording the noise decibel value and vibration acceleration value at each speed point throughout the process.

[0031] Analysis of the collected data identified several representative operating speeds: First, the speed at which vibration and noise performance (NVH) is optimal, resulting in minimal noise and vibration, suitable for scenarios with extremely high quietness requirements; second, the speed at which vibration and noise performance is second best (NVH performance is slightly higher than optimal), with slightly higher noise and vibration but improved cooling capacity; and third, the highest safe speed achievable after avoiding resonance, offering the fastest cooling speed but relatively poorer NVH performance (i.e., the third vibration and noise performance level). These three speeds together constitute a pre-constructed set of operating speeds. In subsequent control, the compressor will only switch between these speeds, always avoiding the resonance zone.

[0032] The system intelligently matches the most suitable compressor speed based on the vehicle's current real-time status (such as speed and whether there are passengers). Since users have different noise tolerances and expectations for cooling speed in different scenarios, a single speed cannot meet all needs. For example, when the vehicle is parked and someone is inside, users are extremely sensitive to refrigerator noise and should prioritize the optimal NVH speed; when the vehicle is parked and no one is inside, the highest speed can be prioritized for rapid cooling; while driving, as vehicle speed increases, wind and road noise will mask refrigerator noise, so the compressor speed can be gradually increased to accelerate cooling.

[0033] S130, control the compressor to operate at the target operating speed.

[0034] In practice, the vehicle refrigerator controller acquires real-time vehicle driving data (mainly vehicle speed signals) and occupant status signals (obtainable through seat occupancy sensors, seatbelt buckle signals, or a separate occupant identification module) via the CAN bus. The controller determines the current scenario based on these signals and then selects the corresponding target operating speed from a pre-built set of operating speeds. To prevent frequent speed jumps near critical values, the controller incorporates hysteresis comparison logic: when the vehicle speed transitions from a low-speed range to a high-speed range, a higher threshold must be exceeded before switching; conversely, when returning from a high-speed range to a low-speed range, the speed must fall below a lower threshold. Furthermore, the controller monitors the refrigerator's internal temperature in real-time. When the internal temperature drops below a certain value below the set temperature, the compressor stops to save energy; when the temperature rises above the set temperature, the compressor restarts.

[0035] The vehicle refrigerator compressor control method provided in this application identifies the resonant speed in advance and establishes a graded speed set through frequency sweep testing. Then, the compressor speed is dynamically switched according to vehicle speed and passenger status. This not only completely avoids the NVH deterioration caused by the resonant zone, but also achieves the best balance between cooling performance and quiet comfort in different scenarios, significantly improving the user experience of the vehicle refrigerator.

[0036] For ease of understanding, the method provided in this application is described in detail below, including the specific process of frequency sweep testing, the method for identifying resonant rotational speed, the calibration value of graded rotational speed, the refined logic for scene judgment, and specific implementation methods such as temperature hysteresis control.

[0037] In one implementation, the acquisition of the resonant speed and the pre-constructed set of operating speeds can be achieved through a real-vehicle frequency sweep test. First, pre-stored real-vehicle frequency sweep test data is acquired, and the resonant speeds causing resonance in the vehicle body or refrigerator compartment are identified based on this data. Then, multiple speed ranges avoiding the resonant speeds are determined, and from these ranges, speed ranges corresponding to a first vibration and noise performance level, a second vibration and noise performance level, and a third vibration and noise performance level are selected to construct the pre-constructed set of operating speeds. The speed ranges corresponding to the first, second, and third vibration and noise performance levels correspond to different vibration and noise performance levels. For example, the speed range corresponding to the first vibration and noise performance level is the optimal NVH speed, the speed range corresponding to the second optimal NVH speed is the suboptimal speed, and the speed range corresponding to the third vibration and noise performance level is the safest speed for cooling.

[0038] The specific data collection method for the above-mentioned vehicle frequency sweep test is as follows: The car refrigerator is fixed in a predetermined position inside the vehicle (such as the center console). Microphones are placed around the car refrigerator (usually one each at the front, rear, left, right, and top, about 1 meter away from the center of the compressor). Three-dimensional acceleration sensors are placed on the surface and trim of the passenger dashboard armrest. The compressor is controlled to perform a frequency sweep operation from the lowest to the highest speed, and the noise value and vibration value at the passenger dashboard armrest position are recorded at each speed. By analyzing this data, the resonant speed and the optimal and second-best speed points for NVH performance can be accurately identified.

[0039] Preparation for the frequency sweep test requires strict simulation of real vehicle conditions. The test environment should be relatively quiet, with the vehicle engine or motor turned off, the air conditioning fan off, and the windows closed to reduce background noise interference. The compressor speed should be gradually increased from the minimum allowable value to the maximum allowable value, with a step size of 50 rpm or 100 rpm. After each speed point is stabilized for several seconds, the data should be recorded. After the test, the data should be plotted as a "speed-noise" curve and a "speed-vibration" curve. Analyze the speed points with lower noise and vibration amplitudes on the curves. The speed corresponding to the minimum value is the speed range corresponding to the first vibration and noise performance level (optimal NVH speed); the speed corresponding to the second minimum value is the speed range corresponding to the second vibration and noise performance level (second-optimal NVH speed); and, without resonating, the highest achievable speed is selected as the speed range corresponding to the third vibration and noise performance level (strongest cooling speed). At the same time, record the speed points where abnormal peaks of noise and vibration appear on the curves; these are the resonant speeds, and these resonant speeds are stored in a list of prohibited speeds.

[0040] The above method quantifies abstract NVH issues into specific speed values ​​through real vehicle frequency sweep testing, providing a reliable basis for control strategies and avoiding omissions or misjudgments that may occur when relying on experience or simulation.

[0041] Furthermore, selecting the target operating speed that avoids the resonant speed from the pre-built set of operating speeds requires real-time acquisition of vehicle driving status signals and occupant status signals. The vehicle driving status signals include at least the vehicle's real-time speed signal, and the occupant status signals include at least the occupant's presence status (e.g., determining occupant presence via seat occupancy sensors or door lock status). Then, based on these signals, the current scenario type is determined, and the corresponding target operating speed is selected from the pre-built set of operating speeds according to the scenario type.

[0042] The rules for determining the scene type can be as follows: 1) When the real-time vehicle speed signal is zero and the presence status signal indicates that there are people in the vehicle, determine that the current scene type is a static parking scene with people. 2) When the real-time vehicle speed signal is zero and the presence status signal indicates that there is no one in the vehicle, determine that the current scenario type is a static parking unmanned scenario; 3) When the real-time vehicle speed signal is greater than zero and less than or equal to a preset low-speed threshold (e.g., 5 km / h), determine that the current scenario type is a low-speed driving scenario; 4) When the real-time vehicle speed signal is greater than the preset high-speed threshold (e.g., 30km / h), determine that the current scene type is a high-speed driving scene.

[0043] The above thresholds are not fixed and can be calibrated according to vehicle models and user preferences. Hysteresis intervals can also be introduced to avoid frequent jumps.

[0044] The selection results for the target operating speed are as follows for different scenarios: In a static parking scenario with people in the car, since the user is inside the vehicle and the vehicle is stationary, the ambient background noise is extremely low. Any noise or vibration from the refrigerator will be clearly perceived. Therefore, the target operating speed should be selected at the speed gear corresponding to the first vibration and noise performance level (the optimal speed for NVH), such as 2600 rpm, to ensure extreme quietness.

[0045] In a static parking unmanned scenario, the user has left the vehicle, so there is no need to consider NVH. The priority should be to cool down the items in the refrigerator as quickly as possible. Therefore, select the speed gear corresponding to the third vibration and noise performance level (the highest cooling speed) as the target operating speed, such as 4000 rpm, to run at maximum power.

[0046] In low-speed driving scenarios (such as vehicle speed 0~5km / h or 5~30km / h), the vehicle itself will generate some road noise and motor noise, but it is still at a low level. At this time, select the speed gear corresponding to the second vibration and noise performance level (NVH suboptimal speed) as the target operating speed, such as 2800rpm, and appropriately increase the cooling capacity while ensuring an acceptable noise level.

[0047] In high-speed driving scenarios (e.g., vehicle speed > 30km / h), wind noise and tire noise increase significantly, enough to mask the operating noise of the refrigerator compressor. Therefore, the speed setting corresponding to the third vibration noise performance level (4000rpm) can be selected as the target operating speed to obtain the fastest cooling speed.

[0048] Furthermore, to prevent the compressor speed from frequently switching around the vehicle speed threshold, hysteresis control can be introduced. For example, when the vehicle speed increases from low speed to above 30 km / h, it switches to high speed mode; when the vehicle speed decreases from high speed to 25 km / h (below 30 km / h), it switches back to low speed mode. This avoids speed oscillations caused by vehicle speed fluctuations around 30 km / h. Similarly, for static parking scenarios, when the vehicle speed changes from 0 to non-zero, a very small speed threshold (such as 1 km / h) can be set to ensure a smooth transition.

[0049] The above-mentioned method deeply correlates compressor speed with vehicle speed and occupant status, realizing scene-adaptive intelligent control. This ensures both user comfort when they are present and rapid cooling efficiency after they leave the vehicle, greatly enhancing the user experience.

[0050] Furthermore, when managing the compressor's start and stop temperature, it is also necessary to control the compressor's start and stop temperature hysteresis. The real-time temperature inside the vehicle refrigerator is acquired (via a built-in temperature sensor). If the real-time temperature is lower than the preset stop temperature threshold, the compressor is controlled to stop; if the real-time temperature rises to the preset restart temperature threshold, the compressor is controlled to restart. The preset restart temperature threshold is higher than the preset stop temperature threshold, forming a hysteresis range.

[0051] For example, suppose the user sets the target temperature for the refrigerator to -5℃. To prevent frequent compressor start-stop cycles, a shutdown temperature threshold of -5.5℃ (0.5℃ below the set value) and a restart temperature threshold of -3.5℃ (1.5℃ above the set value) can be set, with a hysteresis of 2℃. When the internal temperature of the refrigerator drops below -5.5℃, the controller issues a shutdown command, the compressor stops running, and the low temperature is maintained only by the insulation layer. As the refrigerator exchanges heat with the outside environment, the internal temperature gradually rises. When the temperature reaches -3.5℃, the controller restarts the compressor and runs it at the target operating speed selected according to the current scenario type, starting a new round of cooling. This hysteresis-based control method effectively reduces the number of compressor start-stop cycles, extends the compressor's lifespan, and avoids temperature overshoot.

[0052] This solution works independently yet collaboratively with the aforementioned speed selection strategy: speed selection determines how quickly the compressor cools, while temperature control determines when the compressor operates and when it rests. Together, they provide a complete, efficient, and comfortable control solution for vehicle refrigerators.

[0053] Considering the inherent patterns in vehicle driving and passenger status (e.g., specific routes during commuting hours, long-distance travel during holidays), one optional implementation can record users' historical driving habits in the controller to predict upcoming scenarios. For example, each time the vehicle is turned off and locked, if the internal temperature of the refrigerator is detected to be higher than a set value, and historical data shows that the user typically does not return to the vehicle within 15 minutes of locking, the controller can automatically run the compressor at its highest speed for a period after locking the vehicle before reverting to quiet mode. This predictive control can further shorten the cooling time of items and improve the user experience.

[0054] Optionally, a self-learning predictive strategy based on historical usage habits can also be implemented. The controller records the interval between each time the user locks and re-uses the vehicle, as well as the corresponding temperature change trend inside the refrigerator. Through statistical analysis, if the system identifies that the user typically waits a long time (e.g., more than 2 hours) after locking the vehicle before using it again, and the current temperature of the items inside the refrigerator is high, the controller automatically runs the compressor at the highest safe speed after locking the vehicle for a period of time (e.g., 30 minutes) or until the internal temperature drops to the set value, and then stops the compressor. Conversely, if the user typically returns within a short time, a lower speed is maintained to avoid over-cooling and energy consumption. This method can significantly improve the user's satisfaction with the cooling when they re-enter the vehicle without increasing hardware costs.

[0055] Furthermore, the aforementioned compressor speed control can also be optimized in conjunction with other NVH sources within the vehicle. Specifically, in addition to receiving vehicle speed and occupant status, the controller also obtains information such as the air conditioning fan speed, seat ventilation status, and audio volume via the CAN bus. When the air conditioning fan is at a high speed or the audio volume is high, the background noise inside the vehicle is already high. At this time, even if the compressor runs at a high speed, the user will not notice an increase in refrigerator noise. Therefore, the controller can appropriately raise the lower limit of the compressor speed to accelerate cooling. Conversely, when the air conditioning is off and the audio is muted, the controller strictly limits the compressor speed to the optimal NVH setting. This multi-source information fusion strategy can maximize cooling efficiency without the user noticing, achieving intelligent NVH scheduling for the entire vehicle.

[0056] Preferably, a magnetic door switch sensor can be added to the refrigerator door, with the signal connected to the controller. When the refrigerator door is detected to be open, cold air escapes rapidly, and the temperature sensor response is delayed. At this time, the controller immediately increases the compressor speed to the maximum safe speed (regardless of the current vehicle speed or the status of the occupants), maintains it for a period of time (e.g., 3 minutes), and then returns to the original speed to quickly compensate for the loss of cold air. Simultaneously, to avoid the discomfort caused by the sudden change in speed when the door is opened, a soft start program can be set: the speed increases smoothly at a certain slope per second, rather than a step change. Furthermore, if the refrigerator door is not closed for an extended period (more than 30 seconds), the controller issues a local beep and temporarily limits the maximum speed to prevent excessive cooling and ice buildup. This strategy addresses the user pain point of slow temperature recovery after the refrigerator door is opened, while also considering user experience and energy consumption.

[0057] This embodiment provides a control strategy for a vehicle-mounted refrigerator compressor, which includes two main stages: the first stage is a real-vehicle frequency sweep test to determine the compressor's resonant speed and a pre-built set of operating speeds; the second stage is speed control based on vehicle status to automatically select the most suitable compressor speed under different scenarios.

[0058] See Figure 2In the actual vehicle frequency sweep test phase shown, firstly, the in-vehicle refrigerator was fixed inside the vehicle (e.g., inside the center console) according to mass production assembly methods. Noise collection equipment was arranged around the refrigerator: one microphone was placed in front, behind, left, right, and above the refrigerator, with the microphones approximately 100 cm away from the center of the compressor. At the same time, a three-dimensional accelerometer was placed at the center of the sub-dashboard (CNSL) armrest surface and on each of the side panels to measure the vibration of the armrest area.

[0059] After completing the sensor setup, start the refrigerator and set it to cooling mode. Control the compressor to gradually increase from the lowest permissible speed to the highest permissible speed in increments (e.g., 50 rpm), performing continuous frequency sweep operation. After stabilizing for several seconds at each speed point, record the noise values ​​(in decibels) collected by each microphone and the vibration values ​​(in meters per second squared) collected by each accelerometer.

[0060] The recorded data were plotted as "speed-noise" curves and "speed-vibration" curves. Analysis of the curves leads to the following conclusions: Speed ​​1: The speed point with minimal noise and vibration, i.e., the speed at which NVH performance is optimal. For example, this speed is 2600 rpm.

[0061] Speed ​​2: The second-best speed for noise and vibration after speed 1, i.e., the second-best speed for NVH performance. For example, this speed is 2800 rpm.

[0062] Speed ​​3: The highest safe speed other than the resonance speed, i.e., the strongest cooling speed. For example, this speed is 4000 rpm.

[0063] Speed ​​Series 4: A series of speeds where abnormal spikes in noise and vibration occur, i.e., the speed range that causes resonance in the sub-instrument panel. These speeds must be avoided in subsequent control.

[0064] Store rotation speed 1, rotation speed 2, and rotation speed 3 into a pre-built set of working rotation speeds, and store the rotation speed 4 series into a blacklist of resonant rotation speeds.

[0065] Figure 3 The diagram illustrates the refrigerator compressor speed control phase. The on-board refrigerator controller acquires real-time vehicle driving status signals and occupant status signals via the CAN bus. The driving status signal primarily indicates the real-time vehicle speed, while the occupant status signal indicates whether anyone is inside the vehicle (e.g., from a seat occupancy sensor).

[0066] The controller determines the scenario and selects the rotation speed based on the following logic: Scenario a: The car is parked statically and there are people inside. When the vehicle speed is 0 and the occupant status signal indicates that someone is inside the vehicle, the controller determines that the user is resting or staying inside. At this time, the system is extremely sensitive to noise and vibration; therefore, the optimal NVH speed (2600 rpm) is selected as the target operating speed. The compressor operates at 2600 rpm, providing a virtually silent cooling experience.

[0067] Scenario b: The car is parked statically and no one is inside. When the vehicle speed is 0 and the occupant status signal indicates no one is inside, the user has already left the vehicle. At this point, there is no need to worry about refrigerator noise; the priority should be to cool the refrigerator quickly. Therefore, select the strongest cooling speed 3 (4000 rpm) as the target operating speed. The compressor will run at 4000 rpm to quickly reduce the temperature of the items inside the refrigerator to the set value.

[0068] Scenario c: Low-speed driving To prevent frequent speed jumps, a low-speed threshold (e.g., 5 km / h) is set. When the vehicle speed is greater than 0 and less than or equal to 5 km / h, or between 5 and 30 km / h, the controller determines it to be a low-speed driving scenario. At this time, the road noise and motor noise generated by the vehicle are relatively small, but refrigerator noise still needs to be controlled. Therefore, the second-optimal speed 2 (2800 rpm) is selected as the target operating speed.

[0069] Scene d: High-speed driving Set a high-speed threshold (e.g., 30 km / h). When the vehicle speed exceeds 30 km / h, wind and tire noise increase significantly, enough to mask the operating noise of the refrigerator compressor. At this point, the cooling rate is prioritized, and speed 3 (4000 rpm) is selected as the target operating speed. To increase stability, hysteresis control is used: the vehicle only switches back to low-speed mode (speed 2) when the speed drops from high speed to below 25 km / h.

[0070] Under no circumstances will the controller allow the compressor to operate at the resonant speed (Speed ​​4 series). If vehicle speed or other conditions cause the selected speed to fall within the resonant zone, the controller will automatically round down or up to the nearest safe speed.

[0071] In addition, the refrigerator is equipped with temperature hysteresis control. When the internal temperature of the refrigerator is 0.5°C lower than the set temperature, the compressor stops; when the temperature rises to 1.5°C higher than the set temperature, the compressor restarts and selects its speed according to the above scenario logic.

[0072] Through the coordinated work of the two stages described above, this embodiment achieves intelligent, comfortable, and efficient control of the vehicle refrigerator compressor under all operating conditions.

[0073] In summary, this application pre-identifies the compressor's resonant speed through real-vehicle frequency sweep testing, constructing a pre-built set of operating speeds including optimal, suboptimal, and strongest cooling speeds for NVH (Noise, Vibration, and Harshness), fundamentally avoiding noise and vibration caused by operation in the resonant zone. Based on this, the target speed is dynamically matched according to the vehicle's real-time speed and the status of the occupants: the quietest speed is selected to ensure comfort when the vehicle is parked and occupied; the highest speed is selected for rapid cooling when the vehicle is unoccupied; and the cooling capacity is gradually increased with vehicle speed during driving. Hysteresis control and temperature hysteresis management are also introduced to prevent frequency jumps. This method achieves an intelligent balance between NVH performance and cooling rate, significantly shortening cooling time while ensuring a quiet experience for passengers, thus improving the user-perceived value of the in-vehicle refrigerator and the overall vehicle comfort level.

[0074] Based on the above method embodiments, this application also provides a vehicle-mounted refrigerator compressor control device, see [link to relevant documentation]. Figure 4 As shown, the device includes the following parts: The resonance speed acquisition unit 410 is used to acquire the resonance speed of the vehicle refrigerator compressor; The speed screening unit 420 is used to screen out target operating speeds that avoid resonance speeds from a pre-built set of operating speeds; the set of operating speeds includes compressor speeds corresponding to different vibration and noise performance levels; Control unit 430 is used to control the compressor to operate at the target operating speed.

[0075] In one feasible implementation, the resonant speed acquisition unit 410 is specifically used for: Acquire pre-stored real vehicle frequency sweep test data; The resonant rotation speed that causes resonance in the vehicle body or refrigerator compartment is identified based on real vehicle frequency sweep test data; In one feasible implementation, the resonant speed acquisition unit 410 is further configured to: During the frequency sweep operation of the vehicle refrigerator compressor from the lowest speed to the highest speed, the noise values ​​at each speed are recorded by microphones arranged around the vehicle refrigerator, and the vibration values ​​at each speed are recorded by accelerometers arranged on the surface and guard plate of the passenger dashboard armrest. The noise and vibration values ​​at various speeds were used as the actual vehicle frequency sweep test data.

[0076] In one feasible implementation, it further includes: a rotational speed set construction unit, used for: Before selecting a target operating speed that avoids the resonance speed from a pre-constructed set of operating speeds, multiple speed ranges are obtained from real vehicle frequency sweep test data; The set of operating speeds is constructed based on the multiple speed ranges.

[0077] In one feasible implementation, the rotational speed set construction unit is used for: Select the speed gears corresponding to different vibration and noise performance levels from the multiple speed gears; The set of operating speeds is constructed based on the speed ranges corresponding to different vibration and noise performance levels.

[0078] In one feasible implementation, the aforementioned rotational speed screening 420 is specifically used for: Real-time acquisition of vehicle driving status signals and occupant status signals; Based on vehicle driving status signals and occupant status signals, target operating speeds that avoid resonance speeds are selected from a pre-built set of operating speeds.

[0079] In one feasible implementation, the aforementioned rotational speed screening 420 is further used for: The current scenario type is determined based on vehicle driving status signals and occupant status signals. The target operating speed is selected from the pre-built set of operating speeds based on the scenario type.

[0080] In one feasible implementation, the vehicle driving status signal includes the vehicle's real-time speed signal, and the occupant status signal includes the occupant's presence status signal. The aforementioned speed screening of 420 is further used for: When the real-time vehicle speed signal is zero and the presence status signal indicates that there are people in the vehicle, the current scenario type is determined to be a static parking scenario with people in the vehicle. When the real-time vehicle speed signal is zero and the presence status signal indicates that there is no one in the vehicle, the current scenario type is determined to be a static parking unmanned scenario. When the real-time vehicle speed signal is greater than zero and less than or equal to the preset low speed threshold, the current scene type is determined to be a low-speed driving scene. When the real-time vehicle speed signal is greater than the preset high-speed threshold, the current scene type is determined to be a high-speed driving scene.

[0081] In one feasible implementation, the aforementioned rotational speed screening 420 is further used for: When the current scenario is determined to be a static parking scenario with people, the speed gear corresponding to the first vibration and noise performance level is selected from the pre-built set of operating speeds as the target operating speed. When the current scenario is determined to be a static parking unmanned scenario, the speed gear corresponding to the third vibration and noise performance level is selected from the pre-built set of working speeds as the target working speed. When the current scenario is determined to be a low-speed driving scenario, the speed gear corresponding to the second vibration and noise performance level is selected from the pre-built set of working speeds as the target working speed. When the current scenario is determined to be a high-speed driving scenario, the speed gear corresponding to the third vibration and noise performance level is selected from the pre-built set of operating speeds as the target operating speed.

[0082] In one feasible implementation, the device further includes a shutdown / restart control module for: Obtain the real-time temperature inside the vehicle refrigerator; If the real-time temperature is lower than the preset shutdown temperature threshold, the compressor will be shut down. If the real-time temperature rises back to the preset restart temperature threshold, the compressor will be restarted.

[0083] In one feasible implementation, the preset restart temperature threshold is higher than the preset shutdown temperature threshold.

[0084] The device provided in this application embodiment has the same implementation principle and technical effect as the aforementioned method embodiment. For the sake of brevity, any parts of the device embodiment not mentioned can be referred to the corresponding content in the aforementioned method embodiment.

[0085] This application also provides a vehicle-mounted refrigerator compressor control device, such as... Figure 5 The diagram shows the structure of the vehicle refrigerator compressor control device 100, which includes a processor 51 and a memory 50. The memory 50 stores computer-executable instructions that can be executed by the processor 51. The processor 51 executes the computer-executable instructions to implement any of the above methods.

[0086] exist Figure 5 In the illustrated embodiment, the vehicle refrigerator compressor control device further includes a bus 52 and a communication interface 53, wherein the processor 51, the communication interface 53, and the memory 50 are connected via the bus 52.

[0087] The memory 50 may include high-speed random access memory (RAM) or non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 53 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 52 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 52 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0088] The processor 51 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of the processor 51 or by instructions in software form. The processor 51 may be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in the memory, and the processor 51 reads the information in the memory and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiment.

[0089] This application provides a vehicle-mounted refrigerator, including a refrigerator body, a compressor, and the aforementioned vehicle-mounted refrigerator compressor control device. The compressor is located in the refrigerator body and is used to provide cooling capacity; the control device is electrically connected to the compressor, and internally stores a list of resonant speeds obtained through frequency sweep testing and a pre-built set of operating speeds, and can obtain vehicle speed and occupant status signals from the vehicle's CAN bus. The control device selects a target speed from the preset set according to the current scenario type, controls the compressor to operate, and executes start-stop logic based on the internal temperature.

[0090] This application also provides a vehicle, including a vehicle body and the aforementioned vehicle-mounted refrigerator. The vehicle-mounted refrigerator is fixed inside the vehicle body (such as the center console or trunk) and connected to the vehicle's power supply and CAN bus. When the vehicle is moving or parked, the refrigerator control device automatically adjusts the compressor speed using vehicle speed and occupant status signals to achieve a dynamic balance between NVH performance and cooling rate.

[0091] This application also provides a computer-readable storage medium storing computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions cause the processor to implement the above-described method. For specific implementation details, please refer to the foregoing method embodiments, which will not be repeated here.

[0092] The vehicle refrigerator compressor control method, apparatus, equipment, vehicle refrigerator, and vehicle computer program product provided in this application include a computer-readable storage medium storing program code. The instructions included in the program code can be used to execute the methods in the preceding method embodiments. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0093] Unless otherwise specifically stated, the relative steps, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of this application.

[0094] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0095] In the description of this application, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of the invention is in use. They are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application. In addition, the terms "first," "second," and "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0096] In the description of this application, it should also be noted that, unless otherwise expressly specified and limited, the terms "set up," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0097] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for controlling a vehicle-mounted refrigerator compressor, characterized in that, include: Obtain the resonant speed of the vehicle refrigerator compressor; Target operating speeds that avoid the resonant speed are selected from a pre-constructed set of operating speeds; the set of operating speeds includes compressor speeds corresponding to different vibration and noise performance levels; Control the compressor to operate at the target operating speed.

2. The method according to claim 1, characterized in that, Obtain the resonant speed of the vehicle refrigerator compressor, including: Acquire pre-stored real vehicle frequency sweep test data; Based on the actual vehicle frequency sweep test data, the resonance speed that causes resonance in the vehicle body or refrigerator compartment is identified.

3. The method according to claim 2, characterized in that, Obtain pre-stored real vehicle frequency sweep test data, including: During the frequency sweep operation of the vehicle refrigerator compressor from the lowest speed to the highest speed, the noise values ​​at each speed are recorded by microphones arranged around the vehicle refrigerator, and the vibration values ​​at each speed are recorded by accelerometers arranged on the surface and guard plate of the passenger dashboard armrest. The noise and vibration values ​​at various speeds were used as the actual vehicle frequency sweep test data.

4. The method according to claim 1, characterized in that, Before selecting a target operating speed that avoids the resonant speed from a pre-built set of operating speeds, the process further includes: Multiple RPM levels were obtained from real vehicle frequency sweep test data; The set of operating speeds is constructed based on the multiple speed ranges.

5. The method according to claim 4, characterized in that, The set of operating speeds is constructed based on the multiple speed ranges, including: Select the speed gears corresponding to different vibration and noise performance levels from the multiple speed gears; The set of operating speeds is constructed based on the speed ranges corresponding to different vibration and noise performance levels.

6. The method according to claim 1, characterized in that, Selecting target operating speeds that avoid the resonant speed from a pre-built set of operating speeds includes: Real-time acquisition of vehicle driving status signals and occupant status signals; Based on the vehicle driving status signal and the occupant status signal, a target operating speed that avoids the resonant speed is selected from the set of operating speeds.

7. The method according to claim 6, characterized in that, Based on the vehicle driving status signal and the occupant status signal, a target operating speed that avoids the resonant speed is selected from the set of operating speeds, including: Based on the vehicle driving status signal and the occupant status signal, determine the current scene type; The target operating speed is selected from the set of operating speeds based on the scenario type.

8. The method according to claim 7, characterized in that, The vehicle driving status signal includes the vehicle's real-time speed signal, and the occupant status signal includes the occupant's presence status signal. Based on the vehicle driving status signal and the occupant status signal, determine the current scenario type, including: When the real-time vehicle speed signal is zero and the presence status signal indicates that there is someone in the vehicle, the current scenario type is determined to be a static parking scenario with people in the vehicle. When the real-time vehicle speed signal is zero and the presence status signal indicates that there is no one in the vehicle, it is determined that the current scene type is a static parking unmanned scene. When the real-time vehicle speed signal is greater than zero and less than or equal to a preset low-speed threshold, the current scene type is determined to be a low-speed driving scene. When the real-time vehicle speed signal is greater than a preset high-speed threshold, the current scene type is determined to be a high-speed driving scene.

9. The method according to claim 7, characterized in that, Based on the scenario type, the corresponding target operating speed is selected from the set of operating speeds, including: When the current scenario is a static parking scenario with people, the speed gear corresponding to the first vibration and noise performance level is selected from the pre-built set of operating speeds as the target operating speed; When the current scenario is a static parking unmanned scenario, the speed gear corresponding to the third vibration and noise performance level is selected from the set of working speeds as the target working speed; When the current scenario is a low-speed driving scenario, the speed gear corresponding to the second vibration and noise performance level is selected from the pre-constructed set of working speeds as the target working speed; When the current scenario is a high-speed driving scenario, the speed gear corresponding to the third vibration and noise performance level is selected from the set of working speeds as the target working speed; Among them, the speed range corresponding to the first vibration and noise performance level is greater than the speed range corresponding to the second vibration and noise performance level, and greater than the speed range corresponding to the third vibration and noise performance level.

10. The method according to any one of claims 1 to 9, characterized in that, Also includes: Obtain the real-time temperature inside the vehicle refrigerator; If the real-time temperature is lower than the preset shutdown temperature threshold, the compressor will be shut down. If the real-time temperature rises back to the preset restart temperature threshold, the compressor is controlled to restart.

11. A vehicle-mounted refrigerator compressor control device, characterized in that, include: The resonant speed acquisition unit is used to acquire the resonant speed of the on-board refrigerator compressor; A speed screening unit is used to select target operating speeds that avoid the resonant speed from a pre-constructed set of operating speeds; the set of operating speeds includes compressor speeds corresponding to different vibration and noise performance levels; The control unit is used to control the compressor to operate at the target operating speed.

12. A vehicle-mounted refrigerator compressor control device, characterized in that, include: Memory, used to store computer programs; A processor, configured to implement the steps of the vehicle refrigerator compressor control method as described in any one of claims 1 to 10 when executing the computer program.

13. A vehicle-mounted refrigerator, characterized in that, include: Refrigerator body; A compressor, located in the refrigerator body, is used to provide cooling capacity to the refrigerator body; The vehicle-mounted refrigerator compressor control device as described in claim 12, wherein the vehicle-mounted refrigerator compressor control device is electrically connected to the compressor and is used to control the operation of the compressor.

14. A vehicle, characterized in that, include: Body; The vehicle refrigerator as described in claim 13 is located inside the vehicle body.

15. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions that, when invoked and executed by a processor, cause the processor to perform the method according to any one of claims 1 to 10.

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