Vehicle-mounted refrigerator intelligent power saving method and device, electronic equipment and storage medium

Abstract

The application discloses a vehicle-mounted refrigerator intelligent power-saving method and device, an electronic device and a storage medium. The method comprises the following steps: monitoring the door opening frequency and the single door opening time length of a target vehicle-mounted refrigerator; determining the user usage state based on the door opening frequency and the single door opening time length; obtaining the current temperature fluctuation data and the battery remaining capacity corresponding to the target vehicle-mounted refrigerator; determining a dynamic adjustment strategy based on the user usage state, the current temperature fluctuation data and the battery remaining capacity, and dynamically adjusting the refrigeration power of the target vehicle-mounted refrigerator based on the dynamic adjustment strategy. In the embodiment of the application, the refrigeration power is dynamically adjusted by monitoring the door opening frequency and the time length, combining the temperature fluctuation and the battery capacity, so as to balance the energy consumption, the preservation effect and the battery protection, and solve the problems of the contradiction between the energy consumption and the temperature fluctuation, the poor scene adaptation and the insufficient linkage with the vehicle-mounted battery in the traditional technology.

Description

Technical Field

[0001] This application relates to the field of home appliance technology, and in particular to a smart energy-saving method, device, electronic device and storage medium for a vehicle refrigerator. Background Technology

[0002] Energy management and battery protection are core requirements for the automatic control technology of in-vehicle refrigerators in the in-vehicle environment. Traditional in-vehicle refrigerators often rely on timers or battery power thresholds to achieve automatic shutdown; however, this approach has many drawbacks. On the one hand, there is a contradiction between energy consumption and temperature fluctuations. Frequent opening and closing of the door can cause the internal temperature of the refrigerator to rise. For example, a single door opening may cause the internal temperature to rise by 5-8°C. If the user takes out items multiple times in a short period of time, the compressor needs to start more frequently to restore the set temperature, which will significantly increase battery consumption. On the other hand, scenario-based needs are not met. After the vehicle is turned off, if the user does not use the refrigerator for a long time, such as when parking overnight, traditional timers may still force the refrigerator to shut down even when the battery power is sufficient, affecting the preservation effect. Conversely, if the user uses the refrigerator frequently, such as frequently taking out cold drinks while camping, the existing solution cannot dynamically adjust the shutdown strategy, which may cause excessive battery discharge. Summary of the Invention

[0003] Therefore, it is necessary to provide a smart energy-saving method, device, electronic device, and storage medium for vehicle refrigerators to address the above-mentioned technical problems and solve at least one of the problems existing in the prior art.

[0004] Firstly, a smart energy-saving method for in-vehicle refrigerators is provided, including:

[0005] Monitor the frequency of door opening and the duration of each door opening of the target vehicle refrigerator;

[0006] The user's usage status is determined based on the frequency of door opening and the duration of each door opening.

[0007] Obtain the current temperature fluctuation data and remaining battery capacity of the target vehicle refrigerator;

[0008] Based on the user's usage status, current temperature fluctuation data, and remaining battery capacity, a dynamic adjustment strategy is determined to dynamically adjust the cooling power of the target vehicle refrigerator.

[0009] In one possible implementation, after determining the user's usage status based on the door opening frequency and the duration of each door opening, the method further includes:

[0010] Construct a frequency-off time mapping model;

[0011] Based on the frequency-closing time mapping model and combined with the user's usage status, a basic closing rule corresponding to the door opening frequency is determined. The basic closing rule is used to determine the basic closing time of the target vehicle refrigerator based on the door opening frequency per unit time.

[0012] Based on user usage habit data, the basic shutdown rules are dynamically modified to generate optimized shutdown rules adapted to the target user, wherein the optimized shutdown rules are linked with the dynamic adjustment strategy.

[0013] In one possible implementation, the optimized shutdown rule is linked to the dynamic adjustment strategy, including:

[0014] If the optimized shutdown rule is to extend the basic shutdown duration, the dynamic adjustment strategy will simultaneously extend the maintenance time of the current cooling power.

[0015] If the optimized shutdown rule is to shorten the basic shutdown time, the dynamic adjustment strategy will trigger the cooling power to enter the low power consumption level in advance at a preset time.

[0016] In one possible implementation, determining the user's usage status based on the door opening frequency and the duration of each door opening includes:

[0017] Based on the opening frequency and the duration of a single opening, dynamic change data of the opening frequency of the target vehicle refrigerator is obtained. The dynamic change data includes the decrease in opening frequency within a preset time, the duration of the frequency being zero, and the interval between opening the door and closing it again.

[0018] Based on the dynamic change data of door opening frequency, determine the rules for user usage needs;

[0019] Based on the user usage demand rules, the user usage status is determined.

[0020] In one possible implementation, determining the user's usage status based on the user usage demand rules includes:

[0021] If the decrease in the frequency of door opening within a preset time exceeds a preset threshold, it is determined that the user has no short-term need for use, and the target vehicle refrigerator will automatically turn off after a preset delay.

[0022] If the duration of a continuous zero frequency exceeds the preset duration, it is determined that the user has stopped using the device, and the target vehicle refrigerator is immediately turned off.

[0023] If the interval between closing and reopening the target car refrigerator is less than the preset interval, it is determined to be a temporary user retrieval scenario, and the target car refrigerator will be automatically woken up and restored to its operating state before being closed.

[0024] In one possible implementation, determining the user's usage status based on the door opening frequency and the duration of each door opening includes:

[0025] If the frequency of door opening within a preset time range is greater than the first preset number of times, then the user's usage state is a high-frequency state, and the automatic shut-off time of the refrigerator is extended by the first preset duration.

[0026] If the frequency of door opening within the preset time range is less than the second preset number of times, then the user's usage state is a low-frequency state, and the automatic shut-off time of the refrigerator is shortened by the second preset duration.

[0027] In one possible implementation, the monitoring of the frequency of door openings and the duration of each door opening of the target vehicle refrigerator includes:

[0028] The opening and closing status data of the target vehicle refrigerator door are collected by a preset door sensor;

[0029] The switch status data is subjected to anti-interference processing, which includes at least one of dynamic filtering and temperature drift compensation; wherein, dynamic filtering uses a Kalman filtering algorithm to reduce noise in the switch status data, and temperature drift compensation is used to obtain the real-time ambient temperature and dynamically adjust the voltage trigger threshold range of the preset door sensor according to the preset temperature-voltage threshold mapping relationship.

[0030] Based on the switch status data after anti-interference processing, the door opening frequency and the duration of a single door opening are obtained.

[0031] Secondly, a smart energy-saving device for a vehicle-mounted refrigerator is provided, comprising:

[0032] The door opening status monitoring unit is used to monitor the frequency of door opening and the duration of each door opening of the target vehicle refrigerator;

[0033] The user usage status determination unit is used to determine the user usage status based on the door opening frequency and the duration of a single door opening.

[0034] The refrigerator operation data acquisition unit is used to acquire the current temperature fluctuation data and the remaining battery capacity of the target vehicle refrigerator.

[0035] The power dynamic adjustment unit is used to determine a dynamic adjustment strategy based on the user's usage status, current temperature fluctuation data, and remaining battery capacity, so as to dynamically adjust the cooling power of the target vehicle refrigerator based on the dynamic adjustment strategy.

[0036] Thirdly, an electronic device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor, when executing the computer-readable instructions, implements the steps of the intelligent power-saving method for a vehicle refrigerator as described above.

[0037] Fourthly, a readable storage medium is provided, the readable storage medium storing computer-readable instructions, which, when executed by a processor, implement the steps of the intelligent power-saving method for vehicle refrigerators as described above.

[0038] The aforementioned intelligent energy-saving method, device, electronic device, and storage medium for vehicle refrigerators include the following steps: monitoring the opening frequency and duration of each door opening of the target vehicle refrigerator; determining the user's usage status based on the opening frequency and duration; acquiring the current temperature fluctuation data and remaining battery capacity of the target vehicle refrigerator; and determining a dynamic adjustment strategy based on the user's usage status, the current temperature fluctuation data, and the remaining battery capacity, so as to dynamically adjust the cooling power of the target vehicle refrigerator based on the dynamic adjustment strategy. This application embodiment can flexibly adjust the cooling power according to the user's actual usage (reflected by the frequency and duration of each door opening) and the temperature changes inside the refrigerator, avoiding unnecessary energy consumption increases caused by frequent door openings and closings, thus resolving the contradiction between energy consumption and temperature fluctuations in traditional technologies. Furthermore, it can rationally allocate energy based on the remaining capacity of the vehicle battery, ensuring the refrigerator's preservation effect while meeting the usage needs of different scenarios. For example, when the remaining battery capacity is sufficient and the user uses the refrigerator frequently, the cooling power can be appropriately increased to maintain temperature stability; when the remaining battery capacity is insufficient and the user uses the refrigerator infrequently, the cooling power can be reduced to save energy. This effectively solves the problems of unmet scenario-based needs and insufficient linkage with the vehicle battery status in traditional technologies, achieving a good balance between energy consumption control, preservation effect, and battery protection for the vehicle refrigerator. Attached Figure Description

[0039] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart illustrating an embodiment of the intelligent power-saving method for a vehicle-mounted refrigerator in this application;

[0041] Figure 2 This is a schematic diagram of the structure of an intelligent energy-saving device for a vehicle refrigerator according to one embodiment of this application;

[0042] Figure 3 This is a schematic diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0043] 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, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0044] In one embodiment, such as Figure 1 As shown, a smart energy-saving method for a vehicle refrigerator is provided, including the following steps:

[0045] In step S110, the frequency of door opening and the duration of each door opening are monitored for the target vehicle refrigerator.

[0046] Optionally, the door status of the vehicle refrigerator can be detected in real time using a door sensor, which includes at least one or any combination of a Hall sensor, capacitive sensor, optical sensor, microswitch, and ranging sensor. A multimodal sensor fusion approach can be preferred for detecting the door status and recording the duration of each door opening. For example, the complementary functions of a Hall sensor and a capacitive sensor can solve the problem of misjudgment under vehicle environment conditions (vibration, temperature fluctuations). Specifically, the Hall sensor accurately determines the door opening / closing status by sampling the voltage difference (ΔV) corresponding to changes in the door's magnetic field in real time, combined with a 200ms time threshold to filter instantaneous interference; the capacitive sensor uses differential capacitance technology to distinguish between condensation caused by temperature fluctuations and actual object placement, avoiding false detections caused by environmental influences from a single sensor, thus jointly improving the stability and accuracy of door status recognition.

[0047] Specifically, the Hall sensor can be pre-fixed to the refrigerator door area (such as the middle of the side frame of the door), and a paired permanent magnet can be installed at the same horizontal height on the side of the refrigerator body to ensure that the Hall sensor is within the optimal magnetic field sensing range. When the door is opened, the distance between the sensor and the permanent magnet increases, the magnetic field strength weakens, and the sensor output voltage drops accordingly, forming a recognizable voltage difference (ΔV). When the door is closed, the magnetic field strengthens, and the voltage rises. Only when ΔV continuously exceeds a preset threshold and is maintained for ≥200ms is it determined that the door is open, effectively filtering out false triggers caused by momentary door shaking due to vehicle bumps.

[0048] In addition, two identical capacitive sensing electrodes can be symmetrically fixed (e.g., glued) inside the refrigerator door, such as on the side wall of the storage compartment (near the edge of the door, avoiding the bottom of the door where condensation easily accumulates), with a certain distance between the two electrodes, forming a differential detection structure. When condensation occurs on the door due to temperature fluctuations, the condensate adheres evenly to the electrode surface, and the capacitance value between the two electrodes increases slowly and slightly (e.g., change < 5pF). When an item is placed in the storage compartment and near the electrode, the item (e.g., a plastic bottle or metal can) changes the electric field distribution around the electrode, causing the capacitance value to increase rapidly and significantly (e.g., change ≥ 15pF). The system uses differential capacitance technology to compare the rate and magnitude of capacitance change between the two electrodes, accurately distinguishing between condensation and the placement of an item, avoiding misjudging condensation as an item blocking the door from closing, or misjudging temporary placement of an item as condensation leading to poor door sealing.

[0049] It should be noted that the operating status of the car refrigerator can be configured in advance. If set to the off state, the refrigerator will remain off regardless of whether the vehicle is running or off. If set to the running state, the car refrigerator will run even when the vehicle is off. In this case, the following judgments can be made regarding the empty refrigerator status, number of door openings, running time, and battery voltage: Determine if the refrigerator is empty (e) (this can be detected using a photoelectric sensor; 0 indicates an empty refrigerator, 1 indicates a non-empty refrigerator); determine the number of door openings (n) (this can be detected using a Hall effect sensor; the count starts after the car is turned off and resets every 48 hours); determine the running time (t) (the count starts after the car is turned off and resets after the car is started); and determine the small battery voltage (V) (V is used to assess the remaining charge of the small battery). The small battery refers to the battery in the car used to power the car refrigerator and other in-vehicle electrical equipment.

[0050] If the vehicle refrigerator is detected to be empty, it will automatically shut down until the user presses the power button to start it, saving electricity. If the vehicle refrigerator is detected to be not empty (e=1), but V<11.1V, it will automatically shut down to ensure the small battery has enough power to start the vehicle and other equipment. If the vehicle refrigerator is detected to be not empty (e=1), and V>11.1V, it can continue to run: if the running time t>48 hours and the number of times the refrigerator door is opened n=0, it will automatically shut down; if n>=1, it will extend the running time by 48 hours (accumulated to 96 hours). Thereafter, a judgment can be made every 48 hours, such as when the running time t... If the running time t > 48 + 48 + 48 and the refrigerator door opening count n = 0, the refrigerator will automatically shut down. If n >= 1, the running time will be extended by 48 hours (accumulated to 144 hours). If the running time t > 48 + 48 + 48 and the refrigerator door opening count n = 0, the refrigerator will automatically shut down. If n >= 1, the running time will be extended by 48 hours (accumulated to 192 hours). If the running time t > 48 + 48 + 48 + 48 and the refrigerator door opening count n = 0, the refrigerator will automatically shut down. If n >= 1, the running time will be extended by 24 hours, meaning the refrigerator will automatically shut down after accumulating 9 days of operation. Simultaneously, the system can monitor the frequency of door openings and the duration of each door opening. It should be noted that in all the above operating states, if V < 11.1V is detected, the refrigerator will automatically shut down to ensure sufficient remaining power to start the vehicle.

[0051] In step S120, the user's usage status is determined based on the door opening frequency and the duration of each door opening.

[0052] Optionally, the door status data collected by the door sensor is used to count the total number of times the door is opened per unit time (e.g., 1 hour, 2 hours) (i.e., door opening frequency), and the duration of each door opening from opening to complete closing (i.e., single door opening duration) is also recorded. This data is then combined with preset thresholds to determine the user's usage status. For example, if the door opening frequency is greater than 5 times within 1 hour and the cumulative single door opening duration is greater than 10 minutes, it is determined to be a high-frequency usage status (corresponding to scenarios where the user frequently retrieves or places items within a short period, such as repeatedly taking out cold drinks while camping); if the door opening frequency is ≤2 times within 1 hour and the cumulative single door opening duration is ≤3 minutes, it is determined to be a low-frequency usage status (corresponding to scenarios where the user's needs are moderate, such as occasionally retrieving items during a commute); if there is no door opening operation for more than 3 hours (frequency is 0, cumulative duration is 0), it is determined to be a suspended usage status (corresponding to scenarios where the user does not need to use the door temporarily, such as parking and resting). The entire process uses dual-dimensional data coupling of frequency and duration to avoid misjudgments caused by relying solely on frequency (such as the different impacts of frequent short-term door openings and a few long-term door openings on the refrigerator load), ensuring that the determination of user usage status is more in line with actual needs.

[0053] In step S130, the current temperature fluctuation data and the remaining battery capacity corresponding to the target vehicle refrigerator are obtained;

[0054] Optionally, the current temperature fluctuation data needs to be collected in real time by a high-precision temperature sensor (such as an NTC thermistor) installed inside the refrigerator. It is necessary not only to record the actual temperature inside the refrigerator, but also to calculate the temperature change amplitude and rate of change per unit time (such as 1 minute or 5 minutes) to reflect the temperature stability inside the refrigerator under the influence of door opening and closing and ambient temperature. The remaining battery capacity can be the remaining capacity of the vehicle's main battery or the remaining capacity of the small battery: if it is the remaining capacity of the small battery, it is obtained through the communication interface between the refrigerator and the small battery power supply circuit (or a dedicated power management module), and the SOC data output by the small battery BMS is read directly; if it is the remaining capacity of the vehicle's main battery, it is obtained through the communication between the refrigerator and the vehicle's OBD interface (or CAN bus), and the SOC data of the main battery output by the vehicle's BMS is read. In both scenarios, the current voltage, discharge current and other auxiliary data of the corresponding battery are collected synchronously. Through voltage-capacity curve calibration and current integration algorithm, capacity misjudgment caused by battery virtual charge under low temperature environment is eliminated. The collected data can then be transmitted to the refrigerator control board via real-time communication protocols (such as CAN bus and UART). The data collection frequency is matched with the user status determination frequency to ensure data timeliness and provide an accurate basis for adjusting the cooling strategy based on the remaining battery capacity.

[0055] In step S140, a dynamic adjustment strategy is determined based on the user's usage status, current temperature fluctuation data, and remaining battery capacity, so as to dynamically adjust the cooling power of the target vehicle refrigerator based on the dynamic adjustment strategy.

[0056] Optionally, user usage status reflects the intensity of user demand for the refrigerator. For example, frequent and prolonged door opening indicates frequent item retrieval and high demand. Current temperature fluctuation data, collected in real-time by temperature sensors inside the refrigerator, reflects changes in internal temperature due to user operation or external environment. Large temperature fluctuations indicate that the cooling system needs to work harder to maintain the set temperature. Remaining battery capacity, obtained through communication with the vehicle's main battery or the small battery powering the refrigerator, relates to the sustainability of power supply. By integrating the above data, a dynamic adjustment strategy can be formulated. For example, if user usage is frequent, temperature fluctuations are large, and battery capacity is sufficient, cooling power can be increased to quickly bring the internal temperature back to the set value and maintain stability. If user usage becomes less frequent, temperature fluctuations are small, and battery capacity is insufficient, cooling power can be reduced to save energy while meeting basic preservation needs, ensuring the vehicle can start normally later. This achieves intelligent, efficient, and energy-saving dynamic adjustment of the vehicle refrigerator's cooling power. If the remaining battery capacity is below a preset threshold, the refrigerator will shut down regardless of whether user usage is frequent or temperature fluctuations are large.

[0057] In this embodiment, by monitoring the frequency and duration of door openings of the target refrigerator, the user's usage status can be accurately determined. Simultaneously, the current temperature fluctuation data and remaining battery capacity of the target refrigerator are acquired. Based on the user's usage status, temperature fluctuation data, and remaining battery capacity, a dynamic adjustment strategy is determined, thereby dynamically adjusting the cooling power of the target refrigerator. This allows for flexible adjustment of cooling power based on actual user usage (reflected by door opening frequency and duration) and internal temperature changes, avoiding unnecessary energy consumption increases due to frequent door openings and resolving the contradiction between energy consumption and temperature fluctuations in traditional technologies. Furthermore, by considering the remaining vehicle battery capacity, energy can be rationally allocated while ensuring the refrigerator's preservation effect, meeting the usage needs of different scenarios. For example, when the remaining battery capacity is sufficient and the user uses the refrigerator frequently, the cooling power can be appropriately increased to maintain temperature stability; when the remaining battery capacity is insufficient and the user uses the refrigerator infrequently, the cooling power can be reduced to save energy. This effectively solves the problems of unmet scenario-based needs and insufficient linkage with vehicle battery status in traditional technologies, achieving a good balance between energy consumption control, preservation effect, and battery protection for vehicle-mounted refrigerators.

[0058] In one embodiment of this application, after determining the user's usage status based on the door opening frequency and the duration of each door opening, the method further includes:

[0059] Construct a frequency-off time mapping model;

[0060] Based on the frequency-closing time mapping model and combined with the user's usage status, a basic closing rule corresponding to the door opening frequency is determined. The basic closing rule is used to determine the basic closing time of the target vehicle refrigerator based on the door opening frequency per unit time.

[0061] Based on user usage habit data, the basic shutdown rules are dynamically modified to generate optimized shutdown rules adapted to the target user, wherein the optimized shutdown rules are linked with the dynamic adjustment strategy.

[0062] Optionally, firstly, a frequency-closing time mapping model is constructed. This model is generated based on the historical door opening frequency data of the target vehicle refrigerator and the statistical results of reasonable closing times under corresponding scenarios, including the correlation between different door opening frequencies and the corresponding basic closing time of the door. For example, when the door opening frequency is >3 times / hour and the user's usage status is high-frequency, the automatic closing time is extended to 30 minutes; when the frequency is <1 time / hour and the user's usage status is low-frequency, it is shortened to 10 minutes, striking a balance between energy saving and ease of use. Next, based on this model and combined with the determined user usage status, a basic closing rule corresponding to the current door opening frequency is determined. This can be understood as providing a basic closing time standard for the vehicle refrigerator door based on the door opening frequency per unit time. Finally, using user habit data, such as the user's door opening patterns during specific time periods (commuting, rest, etc.) and preferences for the duration of each item retrieval, the basic closing rule is dynamically adjusted to generate an optimized closing rule that is more suitable for the target user. It should be noted that the optimized closing rule is not independent; it is linked to the strategy of dynamically adjusting the cooling power. For example, when the optimized closing rule extends the door closing time, the cooling power maintains the current level for an extended period. When the optimized closing rule shortens the door closing time, the cooling power can enter the low-power level earlier, thereby ensuring the user experience while achieving energy-efficient operation of the car refrigerator.

[0063] It's worth noting that personalized models can be built using LSTM (Long Short-Term Memory) or decision tree algorithms to dynamically optimize basic door-closing rules. Specifically, historical user data can be continuously collected and analyzed to train the personalized model. This allows for the identification of high-frequency usage scenarios, such as high door-opening frequency and stable single-opening duration during commuting hours (e.g., 7-9 AM and 5-7 PM), while low-frequency usage is identified after rest periods during long journeys (e.g., 2-4 PM). LSTM, with its strong ability to capture time-series data, can accurately uncover patterns in usage habits across different time periods; while decision tree algorithms can generate clear decision rules by classifying features such as time period, frequency, and duration. Based on learned user habits, the original basic shutdown rules (such as a basic shutdown duration of 15 minutes for high-frequency use) are dynamically modified. For example, for users who frequently retrieve items during their commute, the shutdown duration for that period is extended to 20 minutes; for users who frequently retrieve items during long-distance travel, the shutdown duration for the corresponding period is shortened to 8 minutes. This generates optimized shutdown rules that are fully adapted to the target user's behavior patterns, taking into account both ease of use and energy saving.

[0064] In one embodiment of this application, the optimized shutdown rule is linked to the dynamic adjustment strategy, including:

[0065] If the optimized shutdown rule is to extend the basic shutdown duration, the dynamic adjustment strategy will simultaneously extend the maintenance time of the current cooling power.

[0066] If the optimized shutdown rule is to shorten the basic shutdown time, the dynamic adjustment strategy will trigger the cooling power to enter the low power consumption level in advance at a preset time.

[0067] Optionally, by linking optimized closing rules with dynamic adjustment strategies, the door closing time control and cooling power adjustment of the vehicle refrigerator can form a coordinated response, avoiding energy waste or poor user experience caused by the two operating independently. Specifically, when the optimized closing rule determines that the basic closing time needs to be extended (e.g., during high-frequency item retrieval periods, extending the closing time facilitates continuous item retrieval), the dynamic adjustment strategy will simultaneously extend the maintenance time of the current cooling power. In this case, because the extended closing time reduces the frequency of door opening, the total amount of cold air loss inside the cabinet is reduced. Maintaining the current cooling power can quickly stabilize the temperature inside the cabinet at the set value, preventing the temperature from rising due to premature power reduction, thus ensuring the freshness of items when retrieved later. Conversely, when the optimized closing rule determines that the basic closing time needs to be shortened (e.g., when the user enters a low-frequency usage state, shortening the closing time reduces ineffective standby), the dynamic adjustment strategy will trigger the cooling power to enter a low-power mode in advance. In this case, the probability of the user using the cabinet again in the short term after the door is closed is low, and reducing the power can reduce battery consumption. At the same time, combined with the temperature fluctuation data inside the cabinet, it ensures that the basic insulation requirements can still be maintained in the low-power state, ultimately achieving a dual balance between ensuring user experience and saving vehicle energy.

[0068] In one embodiment of this application, determining the user's usage status based on the door opening frequency and the duration of each door opening includes:

[0069] Based on the opening frequency and the duration of a single opening, dynamic change data of the opening frequency of the target vehicle refrigerator is obtained. The dynamic change data includes the decrease in opening frequency within a preset time, the duration of the frequency being zero, and the interval between opening the door and closing it again.

[0070] Based on the dynamic change data of door opening frequency, determine the rules for user usage needs;

[0071] Based on the user usage demand rules, the user usage status is determined.

[0072] Optionally, the system first extracts dynamic change data on the door opening frequency of the target vehicle refrigerator based on the opening frequency and duration of each opening within a preset time period (e.g., 1 hour, 3 hours, etc.). This data includes not only the decrease in opening frequency within the preset time period (e.g., from 5 times to 0 times in 1 hour), but also the duration of zero opening frequency (e.g., 3 hours without opening) and the interval between opening the door and closing it again (e.g., 10 minutes after closing). This comprehensively captures the trend changes in user behavior. Next, based on this dynamic change data, user usage demand rules are constructed. For example, if the frequency decreases by 100% within 1 hour, it is determined as a short-term pause demand; if the frequency remains zero for more than 3 hours, it is determined as a termination demand. Finally, based on the constructed user usage demand rules, the system matches the current user's behavioral characteristics to accurately determine the user's usage status (e.g., high-frequency use, low-frequency use, short-term no use demand, terminated use, etc.).

[0073] In one embodiment of this application, determining the user's usage status based on the user usage demand rules includes:

[0074] If the decrease in the frequency of door opening within a preset time exceeds a preset threshold, it is determined that the user has no short-term need for use, and the target vehicle refrigerator will automatically turn off after a preset delay.

[0075] If the duration of a continuous zero frequency exceeds the preset duration, it is determined that the user has stopped using the device, and the target vehicle refrigerator is immediately turned off.

[0076] If the interval between closing and reopening the target car refrigerator is less than the preset interval, it is determined to be a temporary user retrieval scenario, and the target car refrigerator will be automatically woken up and restored to its operating state before being closed.

[0077] Optionally, when the decrease in the frequency of door opening within a preset time exceeds a preset threshold (e.g., a decrease of 100% from 5 times to 0 times within 1 hour), it is determined that the user has no short-term need for use, and the target car refrigerator will be controlled to delay for a preset time (e.g., 15 minutes) before automatically shutting down. If the duration of zero door opening frequency after the last opening and closing of the target car refrigerator exceeds a preset duration (e.g., 3 hours), it indicates that the user has no further need for use, and it is determined that the user has finished using it. The car refrigerator can be shut down to save the car battery power to the greatest extent. If the interval between the user opening the door again after the car refrigerator is shut down is shorter than the preset interval (e.g., 10 minutes), it corresponds to a high-frequency scenario of the user temporarily retrieving items, and it is determined that the user has a temporary need for retrieving items. The car refrigerator can be automatically woken up and restored to the operating state before it was shut down (e.g., maintaining the original cooling temperature), without the user having to manually restart it, thus taking into account both ease of use and internal temperature stability.

[0078] In one embodiment of this application, determining the user's usage status based on the door opening frequency and the duration of each door opening includes:

[0079] If the frequency of door opening within a preset time range is greater than the first preset number of times, then the user's usage state is a high-frequency state, and the automatic shut-off time of the refrigerator is extended by the first preset duration.

[0080] If the frequency of door opening within the preset time range is less than the second preset number of times, then the user's usage state is a low-frequency state, and the automatic shut-off time of the refrigerator is shortened by the second preset duration.

[0081] Optionally, if the frequency of door opening within a preset time range (e.g., 1 hour) exceeds a first preset number (e.g., more than 3 times), the user's usage state is considered high-frequency, and the automatic shut-off time of the refrigerator is extended by a first preset duration (e.g., extended by 30 minutes). If the frequency of door opening within the preset time range (e.g., 1 hour) is less than a second preset number (e.g., less than 1 time), the user's usage state is considered low-frequency, and the automatic shut-off time of the refrigerator is shortened by a second preset duration (e.g., 10 minutes). This balances energy saving and ease of use.

[0082] In one embodiment of this application, the frequency of door opening and the duration of each door opening of the target vehicle refrigerator being monitored include:

[0083] The opening and closing status data of the target vehicle refrigerator door are collected by a preset door sensor;

[0084] The switch status data is subjected to anti-interference processing, which includes at least one of dynamic filtering and temperature drift compensation; wherein, dynamic filtering uses a Kalman filtering algorithm to reduce noise in the switch status data, and temperature drift compensation is used to obtain the real-time ambient temperature and dynamically adjust the voltage trigger threshold range of the preset door sensor according to the preset temperature-voltage threshold mapping relationship.

[0085] Based on the switch status data after anti-interference processing, the door opening frequency and the duration of a single door opening are obtained.

[0086] Optionally, since the data collected by the sensors is easily affected by factors such as vibration and high temperature in the vehicle environment (e.g., instantaneous signal fluctuations caused by vehicle bumps, and sensor voltage drift caused by high temperature), false detection problems are likely to occur. Therefore, after collecting the open / closed status data of the target vehicle refrigerator door, anti-interference processing can be performed to ensure the accuracy of the user's door operation data, laying the foundation for subsequent user status determination. Specifically, firstly, the refrigerator door's opening and closing status data is collected in real time using preset door sensors (such as Hall sensors, magnetic door switches, etc.) to capture the raw signals of the door opening / closing. Next, to address the issue of data distortion caused by vibrations and temperature fluctuations in the vehicle environment, the collected opening and closing status data undergoes anti-interference processing. If dynamic filtering is used, Kalman filtering algorithms can be employed to reduce noise in the raw data (such as momentary false triggering signals caused by vibration), preserving the true changes in opening and closing status. If temperature drift compensation is used, the real-time ambient temperature is first acquired, and then the voltage trigger threshold range of the sensor is dynamically adjusted based on a preset temperature-voltage threshold mapping relationship to avoid sensor sensitivity shifts caused by temperature changes. Finally, based on the accurate opening and closing status data after anti-interference processing (dynamic filtering or temperature drift compensation, or a combination of both), the total number of times the door opens per unit time is counted to obtain the door opening frequency, and the duration of each door opening from opening to complete closing is recorded to obtain the single door opening duration.

[0087] In this embodiment, by monitoring the frequency and duration of door openings of the target refrigerator, the user's usage status can be accurately determined. Simultaneously, the current temperature fluctuation data and remaining battery capacity of the target refrigerator are acquired. Based on the user's usage status, temperature fluctuation data, and remaining battery capacity, a dynamic adjustment strategy is determined, thereby dynamically adjusting the cooling power of the target refrigerator. This allows for flexible adjustment of cooling power based on actual user usage (reflected by door opening frequency and duration) and internal temperature changes, avoiding unnecessary energy consumption increases due to frequent door openings and resolving the contradiction between energy consumption and temperature fluctuations in traditional technologies. Furthermore, by considering the remaining vehicle battery capacity, energy can be rationally allocated while ensuring the refrigerator's preservation effect, meeting the usage needs of different scenarios. For example, when the remaining battery capacity is sufficient and the user uses the refrigerator frequently, the cooling power can be appropriately increased to maintain temperature stability; when the remaining battery capacity is insufficient and the user uses the refrigerator infrequently, the cooling power can be reduced to save energy. This effectively solves the problems of unmet scenario-based needs and insufficient linkage with vehicle battery status in traditional technologies, achieving a good balance between energy consumption control, preservation effect, and battery protection for vehicle-mounted refrigerators.

[0088] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0089] In one embodiment, a smart energy-saving device for a vehicle refrigerator is provided, which corresponds one-to-one with the smart energy-saving method for a vehicle refrigerator described in the above embodiments. For example... Figure 2 As shown, the intelligent energy-saving device for the vehicle-mounted refrigerator includes a door opening status monitoring unit 10, a user usage status determination unit 20, a refrigerator operation data acquisition unit 30, and a power dynamic adjustment unit 40. Detailed descriptions of each functional module are as follows:

[0090] The door opening status monitoring unit 10 is used to monitor the frequency of door opening and the duration of each door opening of the target vehicle refrigerator.

[0091] User usage status determination unit 20 is used to determine user usage status based on the door opening frequency and the duration of a single door opening;

[0092] The refrigerator operation data acquisition unit 30 is used to acquire the current temperature fluctuation data and the remaining battery capacity of the target vehicle refrigerator.

[0093] The power dynamic adjustment unit 40 is used to determine a dynamic adjustment strategy based on the user's usage status, current temperature fluctuation data, and remaining battery capacity, so as to dynamically adjust the cooling power of the target vehicle refrigerator based on the dynamic adjustment strategy.

[0094] In one embodiment of this application, the device further includes a rule optimization shutdown unit, used for:

[0095] Construct a frequency-off time mapping model;

[0096] Based on the frequency-closing time mapping model and combined with the user's usage status, a basic closing rule corresponding to the door opening frequency is determined. The basic closing rule is used to determine the basic closing time of the target vehicle refrigerator based on the door opening frequency per unit time.

[0097] Based on user usage habit data, the basic shutdown rules are dynamically modified to generate optimized shutdown rules adapted to the target user, wherein the optimized shutdown rules are linked with the dynamic adjustment strategy.

[0098] In one embodiment of this application, disabling the rule optimization unit is further configured to:

[0099] If the optimized shutdown rule is to extend the basic shutdown duration, the dynamic adjustment strategy will simultaneously extend the maintenance time of the current cooling power.

[0100] If the optimized shutdown rule is to shorten the basic shutdown time, the dynamic adjustment strategy will trigger the cooling power to enter the low power consumption level in advance at a preset time.

[0101] In one embodiment of this application, the user usage status determination unit 20 is further configured to:

[0102] Based on the opening frequency and the duration of a single opening, dynamic change data of the opening frequency of the target vehicle refrigerator is obtained. The dynamic change data includes the decrease in opening frequency within a preset time, the duration of the frequency being zero, and the interval between opening the door and closing it again.

[0103] Based on the dynamic change data of door opening frequency, determine the rules for user usage needs;

[0104] Based on the user usage demand rules, the user usage status is determined.

[0105] In one embodiment of this application, the user usage status determination unit 20 is further configured to:

[0106] If the decrease in the frequency of door opening within a preset time exceeds a preset threshold, it is determined that the user has no short-term need for use, and the target vehicle refrigerator will automatically turn off after a preset delay.

[0107] If the duration of a continuous zero frequency exceeds the preset duration, it is determined that the user has stopped using the device, and the target vehicle refrigerator is immediately turned off.

[0108] If the interval between closing and reopening the target car refrigerator is less than the preset interval, it is determined to be a temporary user retrieval scenario, and the target car refrigerator will be automatically woken up and restored to its operating state before being closed.

[0109] In one embodiment of this application, the user usage status determination unit 20 is further configured to:

[0110] If the frequency of door opening within a preset time range is greater than the first preset number of times, then the user's usage state is a high-frequency state, and the automatic shut-off time of the refrigerator is extended by the first preset duration.

[0111] If the frequency of door opening within the preset time range is less than the second preset number of times, then the user's usage state is a low-frequency state, and the automatic shut-off time of the refrigerator is shortened by the second preset duration.

[0112] In one embodiment of this application, the device further includes: an anti-interference unit, used for:

[0113] The opening and closing status data of the target vehicle refrigerator door are collected by a preset door sensor;

[0114] The switch status data is subjected to anti-interference processing, which includes at least one of dynamic filtering and temperature drift compensation; wherein, dynamic filtering uses a Kalman filtering algorithm to reduce noise in the switch status data, and temperature drift compensation is used to obtain the real-time ambient temperature and dynamically adjust the voltage trigger threshold range of the preset door sensor according to the preset temperature-voltage threshold mapping relationship.

[0115] Based on the switch status data after anti-interference processing, the door opening frequency and the duration of a single door opening are obtained.

[0116] In this embodiment, by monitoring the frequency and duration of door openings of the target refrigerator, the user's usage status can be accurately determined. Simultaneously, the current temperature fluctuation data and remaining battery capacity of the target refrigerator are acquired. Based on the user's usage status, temperature fluctuation data, and remaining battery capacity, a dynamic adjustment strategy is determined, thereby dynamically adjusting the cooling power of the target refrigerator. This allows for flexible adjustment of cooling power based on actual user usage (reflected by door opening frequency and duration) and internal temperature changes, avoiding unnecessary energy consumption increases due to frequent door openings and resolving the contradiction between energy consumption and temperature fluctuations in traditional technologies. Furthermore, by considering the remaining vehicle battery capacity, energy can be rationally allocated while ensuring the refrigerator's preservation effect, meeting the usage needs of different scenarios. For example, when the remaining battery capacity is sufficient and the user uses the refrigerator frequently, the cooling power can be appropriately increased to maintain temperature stability; when the remaining battery capacity is insufficient and the user uses the refrigerator infrequently, the cooling power can be reduced to save energy. This effectively solves the problems of unmet scenario-based needs and insufficient linkage with vehicle battery status in traditional technologies, achieving a good balance between energy consumption control, preservation effect, and battery protection for vehicle-mounted refrigerators.

[0117] Specific limitations regarding the intelligent energy-saving device for vehicle refrigerators can be found in the limitations of the intelligent energy-saving method for vehicle refrigerators mentioned above, and will not be repeated here. Each module in the aforementioned intelligent energy-saving device for vehicle refrigerators can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of the electronic device in hardware form or independently of it, or stored in the memory of the electronic device in software form, so that the processor can call and execute the corresponding operations of each module.

[0118] In one embodiment, an electronic device is provided, which may be a terminal device, and its internal structure diagram may be as follows: Figure 3 As shown, the electronic device includes a processor, memory, and network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a readable storage medium storing computer-readable instructions. The network interface communicates with external terminals via a network connection. When the computer-readable instructions are executed by the processor, a smart energy-saving method for a vehicle-mounted refrigerator is implemented. The readable storage medium provided in this embodiment includes both non-volatile and volatile readable storage media.

[0119] In this application embodiment, an electronic device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, it implements the steps of the above-described intelligent power-saving method for a vehicle refrigerator.

[0120] In this embodiment of the application, a readable storage medium is provided, which stores computer-readable instructions. When the computer-readable instructions are executed by a processor, they implement the steps of the above-described intelligent power-saving method for a vehicle refrigerator.

[0121] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware with computer-readable instructions. These computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0122] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0123] 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 of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A smart energy-saving method for a vehicle-mounted refrigerator, characterized in that, The method includes: The system collects the opening and closing status data of the target vehicle refrigerator door using a preset door sensor, performs dynamic filtering and temperature drift compensation on the opening and closing status data to prevent interference, and obtains the opening frequency and single opening duration of the target vehicle refrigerator based on the anti-interference processing of the opening and closing status data. Based on the opening frequency and the duration of a single opening, dynamic change data of the opening frequency of the target vehicle refrigerator is obtained. The dynamic change data of the opening frequency includes the decrease in the opening frequency within a preset time, the duration of the frequency being zero, and the interval between opening the door and opening it again after closing. The user's usage status is then determined. The user's usage status includes high frequency status, low frequency status, short-term no-use-need status, temporary item retrieval scenario status, and completed usage status. Obtain the current temperature fluctuation data and remaining battery capacity corresponding to the target vehicle refrigerator. The current temperature fluctuation data includes the temperature change amplitude and rate of change per unit time. Based on the user's usage status, current temperature fluctuation data, and remaining battery capacity, a dynamic adjustment strategy is determined to dynamically adjust the cooling power of the target vehicle refrigerator. The dynamic adjustment strategy is linked to an optimized shutdown rule adapted to the target user, which is generated based on a frequency-shutdown time mapping model and user usage habit data.

2. The intelligent energy-saving method for a vehicle-mounted refrigerator as described in claim 1, characterized in that, After determining the user's usage status based on the door opening frequency and the duration of each door opening, the process further includes: Construct a frequency-off time mapping model; Based on the frequency-closing time mapping model and combined with the user's usage status, a basic closing rule corresponding to the door opening frequency is determined. The basic closing rule is used to determine the basic closing time of the target vehicle refrigerator based on the door opening frequency per unit time. Based on user usage habit data, the basic shutdown rules are dynamically modified to generate optimized shutdown rules adapted to the target user, wherein the optimized shutdown rules are linked with the dynamic adjustment strategy.

3. The intelligent energy-saving method for a vehicle-mounted refrigerator as described in claim 2, characterized in that, The optimized shutdown rule is linked to the dynamic adjustment strategy, including: If the optimized shutdown rule is to extend the basic shutdown duration, the dynamic adjustment strategy will simultaneously extend the maintenance time of the current cooling power. If the optimized shutdown rule is to shorten the basic shutdown time, the dynamic adjustment strategy will trigger the cooling power to enter the low power consumption level in advance at a preset time.

4. The intelligent energy-saving method for a vehicle-mounted refrigerator as described in claim 1, characterized in that, The process of determining the user's usage status based on the door opening frequency and the duration of each door opening includes: Based on the opening frequency and the duration of a single opening, dynamic change data of the opening frequency of the target vehicle refrigerator is obtained. The dynamic change data includes the decrease in opening frequency within a preset time, the duration of the frequency being zero, and the interval between opening the door and closing it again. Based on the dynamic change data of door opening frequency, determine the rules for user usage needs; Based on the user usage demand rules, the user usage status is determined.

5. The intelligent energy-saving method for a vehicle-mounted refrigerator as described in claim 4, characterized in that, The process of determining the user's usage status based on the user usage demand rules includes: If the decrease in the frequency of door opening within a preset time exceeds a preset threshold, it is determined that the user has no short-term need for use, and the target vehicle refrigerator will automatically turn off after a preset delay. If the duration of a continuous zero frequency exceeds the preset duration, it is determined that the user has stopped using the device, and the target vehicle refrigerator is immediately turned off. If the interval between closing and reopening the target car refrigerator is less than the preset interval, it is determined to be a temporary user retrieval scenario, and the target car refrigerator will be automatically woken up and restored to its operating state before being closed.

6. The intelligent energy-saving method for a vehicle-mounted refrigerator as described in claim 1, characterized in that, The process of determining the user's usage status based on the door opening frequency and the duration of each door opening includes: If the frequency of door opening within a preset time range is greater than the first preset number of times, then the user's usage state is a high-frequency state, and the automatic shut-off time of the refrigerator is extended by the first preset duration. If the frequency of door opening within the preset time range is less than the second preset number of times, then the user's usage state is a low-frequency state, and the automatic shut-off time of the refrigerator is shortened by the second preset duration.

7. The intelligent energy-saving method for a vehicle-mounted refrigerator as described in any one of claims 1-6, characterized in that, The dynamic filtering uses a Kalman filter algorithm to reduce noise in the switch state data. Temperature drift compensation is used to obtain the real-time ambient temperature. The voltage trigger threshold range of the preset door sensor is dynamically adjusted according to the preset temperature-voltage threshold mapping relationship.

8. A smart energy-saving device for a vehicle-mounted refrigerator, characterized in that, The device includes: The door opening status monitoring unit is used to collect the opening and closing status data of the target vehicle refrigerator door through a preset door sensor, perform dynamic filtering and temperature drift compensation anti-interference processing on the opening and closing status data, and obtain the opening frequency and single opening duration of the target vehicle refrigerator based on the anti-interference processing opening and closing status data. The user usage status determination unit is used to obtain dynamic change data of the door opening frequency of the target vehicle refrigerator based on the door opening frequency and the duration of a single door opening. The dynamic change data of the door opening frequency includes the decrease in the door opening frequency within a preset time, the duration of the frequency being zero, and the interval between opening the door again after closing. The user usage status is then determined, including high frequency status, low frequency status, short-term no-use-need status, temporary item retrieval scenario status, and ended-of-use status. The refrigerator operation data acquisition unit is used to acquire the current temperature fluctuation data and the remaining battery capacity of the target vehicle refrigerator. The current temperature fluctuation data includes the temperature change amplitude and rate of change per unit time. The power dynamic adjustment unit is used to determine a dynamic adjustment strategy based on the user's usage status, current temperature fluctuation data, and remaining battery capacity, so as to dynamically adjust the cooling power of the target vehicle refrigerator based on the dynamic adjustment strategy. The dynamic adjustment strategy is linked with the optimized shutdown rule adapted to the target user. The optimized shutdown rule is generated based on the frequency-shutdown time mapping model and user usage habit data.

9. An electronic device comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, characterized in that, When the processor executes the computer-readable instructions, it implements the steps of the intelligent energy-saving method for a vehicle refrigerator as described in any one of claims 1-7.

10. A readable storage medium storing computer-readable instructions, characterized in that, When the computer-readable instructions are executed by the processor, they implement the steps of the intelligent energy-saving method for a vehicle refrigerator as described in any one of claims 1-7.

Images