Automobile air conditioner blower fan control method and device

Abstract

The application is suitable for the field of air conditioner blower control, and particularly relates to a vehicle air conditioner blower control method and device. The vehicle air conditioner blower control method comprises the following steps: obtaining vehicle interior information to understand the vehicle interior environment and driving conditions. Based on the analysis and processing of the vehicle interior information, first adjustment information and second adjustment information are obtained. Based on the first adjustment information and the second adjustment information, a certain algorithm is used to calculate the comprehensive adjustment score of the air conditioner blower, aiming to adjust the mode of the vehicle blower in combination with different actual factors. Based on the comprehensive adjustment score of the air conditioner blower, the operation mode of the air conditioner blower is obtained according to a preset rule. Finally, based on the operation mode of the air conditioner blower and the vehicle interior information, the air conditioner blower is controlled to operate, so as to fully adapt to the changing vehicle interior environment, reduce the comprehensive energy consumption, improve the fuel efficiency of the vehicle, adapt to the requirements of energy saving and environmental protection, improve the comfort of the driver and passengers, and reduce the safety hidden danger caused by the blower factor.

Description

Technical Field

[0001] This application belongs to the field of air conditioning blower control, and particularly relates to a method and equipment for controlling an automotive air conditioning blower. Background Technology

[0002] The automotive air conditioning blower is a key component of the vehicle's air conditioning system, responsible for delivering cool or hot air into the vehicle interior to regulate the temperature and provide a comfortable driving environment. Therefore, the blower's operating status and mode directly affect the comfort of the driver and passengers, as well as the vehicle's energy efficiency and safety.

[0003] In existing technologies, automotive air conditioning blowers are often manually adjusted, making it difficult for them to fully adapt to changing in-vehicle environments during operation. This leads to increased energy consumption, reduced vehicle fuel efficiency, failure to meet energy conservation and environmental protection requirements, reduced comfort for drivers and passengers, and potential safety hazards. Summary of the Invention

[0004] This application provides a method and device for controlling an automotive air conditioning blower, which can solve the problems that the air conditioning blower is difficult to adapt to the changing in-vehicle environment during operation, resulting in increased energy consumption, reduced vehicle fuel efficiency, inability to meet energy conservation and environmental protection requirements, reduced comfort for drivers and passengers, and potential safety hazards.

[0005] In a first aspect, embodiments of this application provide a method for controlling an automotive air conditioning blower, including:

[0006] Acquire in-vehicle information; wherein, the in-vehicle information includes information reflecting the in-vehicle environment and driving conditions;

[0007] Based on the in-vehicle information, first adjustment information and second adjustment information are obtained; wherein the first adjustment information and the second adjustment information are different.

[0008] Based on the first adjustment information and the second adjustment information, the comprehensive adjustment score of the air conditioner blower is obtained;

[0009] Based on the comprehensive adjustment score of the air conditioner blower, the air conditioner blower operating mode is obtained; wherein, the air conditioner blower operating mode is the optimal power consumption mode or the optimal comfort mode;

[0010] The operation of the air conditioning blower is controlled based on the air conditioning blower operating mode and the in-vehicle information.

[0011] The technical solutions described in this application embodiment have at least the following technical effects:

[0012] The automotive air conditioning blower control method provided in this application acquires in-vehicle information to understand the in-vehicle environment and driving conditions. Based on the analysis and processing of the in-vehicle information, first adjustment information and second adjustment information are obtained, reflecting different factors. Based on the first and second adjustment information, a comprehensive adjustment score for the air conditioning blower is calculated using a specific algorithm. This score is an indicator that weighs different factors, aiming to adjust the vehicle blower mode in conjunction with various practical factors.

[0013] Based on the overall adjustment score of the air conditioning blower, the operating mode of the air conditioning blower is obtained according to preset rules. Finally, based on the operating mode of the air conditioning blower and the in-vehicle information, the operation of the air conditioning blower is controlled to fully adapt to the changing in-vehicle environment, reduce overall energy consumption, improve vehicle fuel efficiency, meet the requirements of energy conservation and environmental protection, improve the comfort of the driver and passengers, and reduce safety hazards caused by blower factors.

[0014] In one possible implementation of the first aspect, acquiring in-vehicle information includes:

[0015] Obtain the vehicle's air conditioning set temperature information;

[0016] Obtain in-vehicle navigation information; wherein, the in-vehicle navigation information includes information reflecting the vehicle's driving time;

[0017] Acquire in-vehicle temperature sensor information and infrared temperature imaging information; wherein, the in-vehicle temperature sensor information includes information from multiple temperature sensors.

[0018] In one possible implementation of the first aspect, obtaining the first adjustment information based on the in-vehicle information includes:

[0019] Based on the in-vehicle temperature sensor information and the infrared temperature imaging information, the in-vehicle temperature distribution is analyzed.

[0020] Based on the results of the analysis of the temperature distribution inside the vehicle, data simulation of the airflow inside the vehicle is performed;

[0021] Based on the results of the data simulation of the airflow inside the vehicle, the airflow data inside the vehicle is obtained;

[0022] Based on the in-vehicle airflow data, the average in-vehicle temperature data is obtained; wherein, the average in-vehicle temperature data includes data reflecting the overall ambient temperature inside the vehicle;

[0023] Based on the average temperature data inside the vehicle and the set temperature information of the vehicle's air conditioning, the temperature change difference is obtained;

[0024] Based on the temperature change difference, the first regulation information reflecting environmental influencing factors is obtained.

[0025] In one possible implementation of the first aspect, obtaining the second adjustment information based on the in-vehicle information includes:

[0026] Based on the in-vehicle navigation information, the remaining driving time information of the vehicle is obtained;

[0027] Based on the remaining driving time information, second adjustment information reflecting the time-related factors is obtained.

[0028] In one possible implementation of the first aspect, obtaining the comprehensive adjustment score of the air conditioner blower based on the first adjustment information and the second adjustment information includes:

[0029] Perform a linear transformation on the first adjustment information and the second adjustment information;

[0030] Based on the result of the linear transformation, the mapping value of the first adjustment information and the mapping value of the second adjustment information are obtained;

[0031] A weighted average is taken between the mapping values ​​of the first adjustment information and the mapping values ​​of the second adjustment information;

[0032] Based on the weighted average of the mapping values ​​of the first adjustment information and the second adjustment information, the comprehensive adjustment score of the air conditioner blower is obtained.

[0033] In one possible implementation of the first aspect, obtaining the air conditioner blower operating mode based on the comprehensive adjustment score of the air conditioner blower includes:

[0034] The overall adjustment score of the air conditioner blower is pattern matched according to preset rules;

[0035] Based on the result of pattern matching of the comprehensive adjustment score of the air conditioner blower according to the preset rules, the operating mode of the air conditioner blower is obtained.

[0036] In one possible implementation of the first aspect, obtaining the air conditioner blower operating mode based on the result of pattern matching of the comprehensive adjustment score of the air conditioner blower according to preset rules includes:

[0037] When the overall adjustment score of the air conditioner blower is greater than or equal to the preset value, the air conditioner blower operating mode is confirmed to be the optimal comfort mode.

[0038] When the overall adjustment score of the air conditioner blower is less than the preset value, the air conditioner blower operating mode is confirmed to be the optimal power consumption mode.

[0039] In one possible implementation of the first aspect, controlling the operation of the air conditioning blower based on the air conditioning blower operating mode and the in-vehicle information includes:

[0040] Based on the air conditioning blower operating mode and the in-vehicle information, determine the blower speed operating time curve;

[0041] The operation of the air conditioner blower is controlled based on the blower speed operation time curve.

[0042] In one possible implementation of the first aspect, determining the blower speed operating time curve based on the air conditioning blower operating mode and the in-vehicle information includes:

[0043] When the air conditioner blower is in the optimal comfort mode, the possible curve for the first blower speed is determined based on the predefined comfort operation time curve.

[0044] Based on the possible curve of the first blower speed operating time, determine the air volume curve of the blower speed operating time;

[0045] Based on the in-vehicle airflow data, the path and distribution of in-vehicle airflow are obtained;

[0046] Based on the path and distribution of airflow inside the vehicle and the air volume curve of the blower setting operation time, the dynamic noise value generated during airflow is obtained.

[0047] Based on the dynamic noise value generated during airflow and the possible curve of the blower speed operation time, the case where the dynamic noise value exceeds the noise threshold and the duration exceeds the time threshold is analyzed.

[0048] Based on the analysis of the situation where the dynamic noise value exceeds the noise threshold and the duration exceeds the time threshold, the possible curve of the first blower speed running time is modified.

[0049] Based on the results of modifying the possible curve of the first blower speed operation time, the first blower speed operation time curve in the optimal comfort mode is obtained.

[0050] Secondly, embodiments of this application provide an automotive air conditioning blower control device, comprising:

[0051] An acquisition unit is used to acquire in-vehicle information; wherein, the in-vehicle information includes information reflecting the in-vehicle environment and driving conditions;

[0052] The first generation unit is configured to obtain first adjustment information and second adjustment information based on the in-vehicle information; wherein the first adjustment information and the second adjustment information are different.

[0053] The second generation unit is used to obtain the comprehensive adjustment score of the air conditioner blower based on the first adjustment information and the second adjustment information;

[0054] The selection unit is used to obtain the air conditioner blower operating mode based on the comprehensive adjustment score of the air conditioner blower; wherein the air conditioner blower operating mode is either the optimal power consumption mode or the optimal comfort mode.

[0055] The control unit is used to control the operation of the air conditioning blower based on the air conditioning blower operating mode and the in-vehicle information.

[0056] Thirdly, embodiments of this application provide an automotive air conditioning blower control device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method described in any of the first aspects above.

[0057] Fourthly, embodiments of this application provide a computer program product that, when run on a terminal device, causes the terminal device to execute the method described in any of the first aspects above.

[0058] It is understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art 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.

[0060] Figure 1 This is a schematic flowchart of an embodiment of the automotive air conditioning blower control method provided in this application;

[0061] Figure 2 This is a flowchart illustrating step S100 in an embodiment of the automotive air conditioning blower control method provided in this application.

[0062] Figure 3 This is a flowchart illustrating step S200 of an automotive air conditioning blower control method provided in an embodiment of this application;

[0063] Figure 4 This is another schematic flowchart of step S200 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0064] Figure 5This is a flowchart illustrating step S300 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0065] Figure 6 This is a flowchart illustrating step S400 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0066] Figure 7 This is a flowchart illustrating step S420 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0067] Figure 8 This is a flowchart illustrating step S500 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0068] Figure 9 This is a flowchart illustrating step S510 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0069] Figure 10 This is a flowchart illustrating step S520 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0070] Figure 11 This is another flowchart illustrating step S510 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0071] Figure 12 This is another flowchart illustrating step S520 of the automotive air conditioning blower control method provided in an embodiment of this application;

[0072] Figure 13 This is a schematic diagram of the structure of an automotive air conditioning blower control device provided in one embodiment of this application;

[0073] Figure 14 This is a schematic diagram of the structure of an automotive air conditioning blower control device provided in one embodiment of this application. Detailed Implementation

[0074] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0075] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0076] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0077] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0078] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0079] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0080] In existing technologies, automotive air conditioning blowers are often manually adjusted, making it difficult for them to fully adapt to changing in-vehicle environments during operation. This leads to increased energy consumption, reduced vehicle fuel efficiency, failure to meet energy conservation and environmental protection requirements, reduced comfort for drivers and passengers, and potential safety hazards.

[0081] To address the aforementioned problems, this application provides a method and device for controlling an automotive air conditioning blower. The method acquires in-vehicle information to understand the in-vehicle environment and driving conditions. Based on the analysis and processing of the in-vehicle information, first adjustment information and second adjustment information are obtained, reflecting different factors. Based on the first and second adjustment information, a comprehensive adjustment score for the air conditioning blower is calculated using a specific algorithm. This score is an indicator that balances different factors, aiming to adjust the blower mode in conjunction with various practical factors. Based on the comprehensive adjustment score, the air conditioning blower operating mode is obtained according to preset rules. Finally, based on the air conditioning blower operating mode and in-vehicle information, the air conditioning blower is controlled to fully adapt to the changing in-vehicle environment, reduce overall energy consumption, improve vehicle fuel efficiency, meet energy conservation and environmental protection requirements, enhance driver and passenger comfort, and reduce safety hazards caused by blower factors.

[0082] The automotive air conditioning blower control method provided in this application embodiment can be applied to a terminal device. In this case, the terminal device is the executing entity of the automotive air conditioning blower control method provided in this application embodiment. This application embodiment does not impose any restrictions on the specific type of terminal device.

[0083] For example, terminal devices can be vehicle control systems (including the vehicle's built-in controllers), in-vehicle equipment, augmented reality (AR) / virtual reality (VR) devices, computing devices or other processing devices connected to a wireless modem, vehicle networking terminals, computers, etc.

[0084] To better understand the automotive air conditioning blower control method provided in the embodiments of this application, the specific implementation process of the automotive air conditioning blower control method provided in the embodiments of this application will be described by way of example below.

[0085] Figure 1 This illustration shows a schematic flowchart of an automotive air conditioning blower control method provided in an embodiment of this application. The automotive air conditioning blower control method includes:

[0086] S100, acquires in-vehicle information; the in-vehicle information includes information reflecting the in-vehicle environment and driving conditions.

[0087] As we can understand, in-vehicle information refers to data collected inside a car through various sensors and devices to help monitor, adjust, and improve the vehicle's status, performance, and passenger experience. Real-time access to data related to the in-vehicle environment and driving conditions helps to more intelligently and automatically adjust the operation of the in-vehicle air conditioning blower, thereby improving driving and passenger comfort.

[0088] In one possible implementation, please refer to Figure 2 S100, obtains in-vehicle information, including:

[0089] S110, obtains the vehicle's air conditioning set temperature information.

[0090] It's understood that in-vehicle air conditioning set temperature information refers to the desired temperature value set by the driver or passengers using the vehicle's air conditioning system inside the car. Methods for obtaining this information include reading data from the vehicle control center, recognizing voice commands, computer vision, and image processing. Reading vehicle control center data can be done by connecting to the vehicle via the OBD-II port. Using a suitable OBD-II scanning tool, vehicle parameters, including air conditioning-related information, can be read. Alternatively, the air conditioning set temperature can be obtained by recognizing voice commands. Voice recognition technology can convert the user's speech into text, then extract and understand information related to the air conditioning settings. Computer vision and image processing can involve using an in-vehicle camera to capture images of the control panel. Computer vision technology and image processing algorithms can then be used to identify and extract the numerical or icon-based air conditioning set temperature.

[0091] S120, obtain in-vehicle navigation information; the in-vehicle navigation information includes information reflecting the vehicle's driving time.

[0092] It's understandable that in-vehicle navigation information refers to the information provided by the vehicle's internal navigation system, designed to assist the driver in planning and executing driving routes. In-vehicle navigation information may include current location, navigation route, remaining driving distance, and estimated arrival time. It can also be information obtained in real-time from the vehicle control center, including the time already traveled and the estimated remaining driving time. Obtaining in-vehicle navigation information helps to better adjust the blower operation based on driving conditions, improving driving convenience and comfort.

[0093] S130 acquires in-vehicle temperature sensor information and infrared temperature imaging information; the in-vehicle temperature sensor information includes information from multiple temperature sensors.

[0094] Understandably, vehicles are typically equipped with multiple temperature sensors installed in different areas, such as seats, dashboards, and doors. These sensors measure the temperature in each area, providing comprehensive temperature data to the vehicle's systems. Real-time data from these temperature sensors can be obtained through the vehicle's electronic control unit (ECU) or onboard network. Infrared radiation data can also be obtained through infrared cameras or sensors installed in the vehicle, interpreting the data to obtain temperature information about objects inside the vehicle. Acquiring and using this information allows for a more intelligent and comfortable driving and riding experience.

[0095] S200 obtains first adjustment information and second adjustment information based on in-vehicle information; wherein the first adjustment information and the second adjustment information are different.

[0096] It is understandable that the acquired in-vehicle information can be analyzed and processed to generate primary and secondary adjustment information for controlling the air conditioning blower's operating mode. By combining the primary and secondary adjustment information with the entire driving process, the air conditioning blower's operation control becomes more personalized and intelligent. While meeting comfort requirements, it also considers factors such as energy efficiency, safety, and user interaction, thus enhancing the driving and riding experience and aligning with the modern trend of intelligent and human-centered automotive development.

[0097] In one possible implementation, please refer to Figure 3 S200, based on in-vehicle information, obtains first adjustment information and second adjustment information, including:

[0098] S211 analyzes the temperature distribution inside the vehicle based on information from in-vehicle temperature sensors and infrared temperature imaging.

[0099] Understandably, the vehicle interior can be divided into different zones based on preset rules governing the distribution of in-vehicle temperature sensors, such as the front seat area, rear seat area, dashboard area, and door areas. Preset statistical methods, such as mean, median, and standard deviation, can then be used to calculate the basic statistical characteristics of the overall in-vehicle temperature. The infrared temperature image is then compared with the sensor data; the infrared image provides intuitive visualization, aiding in a better understanding of the temperature distribution. This allows for a more precise understanding of the temperature distribution in different areas.

[0100] S212, based on the analysis of the temperature distribution inside the vehicle, performs data simulation of the airflow inside the vehicle.

[0101] Understandably, the results of extracting the temperature distribution inside the vehicle can be input into a pre-set in-vehicle fluid dynamics model for data simulation to understand the airflow inside the vehicle. The pre-set in-vehicle fluid dynamics model is the initial model used when simulating airflow inside the vehicle. This model includes key elements such as the vehicle's geometry, air conditioning system vents, windows, seats, and boundary conditions relevant to the simulation.

[0102] S213, based on the results of data simulation of airflow inside the vehicle, obtain airflow data inside the vehicle.

[0103] It's understandable that air velocity data for different areas inside the vehicle can be extracted from the simulation output of the vehicle's fluid dynamics model. Based on this data and a preset flow rate rule algorithm, an airflow trajectory map can be generated. The rules can be based on the magnitude and direction of the flow velocity, as well as other factors. The generated airflow trajectory map can display the airflow path at different points inside the vehicle, identifying airflow paths and potential mixing areas. Through simulation, potential thermal unevenness issues inside the vehicle can be identified, allowing for control of the air conditioning blower's operation and preventing the driver or passengers from feeling overheated or undercooled in certain areas.

[0104] S214, based on the airflow data inside the vehicle, obtain the average temperature data inside the vehicle; the average temperature data inside the vehicle includes data reflecting the overall ambient temperature inside the vehicle.

[0105] It is understandable that airflow trajectory maps can be generated based on airflow velocity data according to preset rules, the arithmetic mean of the temperature at each location can be calculated, and the contribution of different regions to the overall temperature can be weighted according to preset rules to distribute the average temperature of different regions, thereby obtaining an overall average temperature that more closely reflects the actual situation. The average temperature data reflecting the overall ambient temperature inside the vehicle, obtained based on in-vehicle airflow data, has a guiding role in the regulation and improvement of the vehicle's interior environment, helping to provide a more comfortable in-vehicle environment that is adaptable to different weather conditions.

[0106] S215 calculates the temperature change difference based on the average in-vehicle temperature data and the in-vehicle air conditioning set temperature information.

[0107] It's understandable that a difference calculation rule can be used to obtain the temperature change difference based on the vehicle's air conditioning set temperature information and the obtained average interior temperature data. The temperature change difference can be a positive number, a negative number, or zero, representing that the actual interior temperature is higher than, lower than, or equal to the set temperature, respectively. The temperature change difference can help the terminal device better understand the pattern of temperature changes inside the vehicle to cope with different driving conditions and environmental changes.

[0108] S216, based on the temperature change difference, obtains the first regulation information reflecting environmental influencing factors.

[0109] It is understandable that the calculated temperature change difference can be output as primary adjustment information reflecting environmental influencing factors based on predetermined rules. This primary adjustment information can be a numerical value used to guide the adjustment of the vehicle's air conditioning blower. The temperature change difference and the primary adjustment information are two sets of data with equal values ​​but different meanings. The temperature change difference is a value obtained by subtracting actual data, and therefore contains practical significance. The primary adjustment information, derived from the temperature change difference, reflects environmental influencing factors and is blower adjustment data that can be understood by the terminal equipment.

[0110] In one possible implementation, please refer to Figure 4 S200, based on in-vehicle information, obtains first adjustment information and second adjustment information, including:

[0111] S221, based on in-vehicle navigation information, obtains information on the remaining driving time of the vehicle.

[0112] It's understandable that by acquiring real-time navigation information, the remaining travel time required for the vehicle to reach its destination can be identified, and this remaining travel time information can be output as the vehicle's remaining driving time. This can be a time value in minutes or hours. Obtaining the vehicle's remaining driving time information helps improve driver safety and comfort, optimizes vehicle usage efficiency, and ultimately enables smarter and more efficient blower control.

[0113] S222, based on the remaining driving time information, obtains second adjustment information that reflects the time-related factors.

[0114] It's understandable that the remaining driving time information can be converted into secondary adjustment information, meaning the remaining driving time information is output in a format understandable to the terminal device for subsequent adjustments. The remaining driving time information and the secondary adjustment information can be two sets of data with equal values ​​but different meanings. The remaining driving time information is data obtained based on actual navigation data and contains practical significance. The secondary adjustment information is blower adjustment data reflecting time-related factors, obtained through the conversion of the remaining driving time information, and is understandable to the terminal device.

[0115] S300, based on the first and second adjustment information, obtains the comprehensive adjustment score of the air conditioner blower.

[0116] Understandably, the first and second adjustment information can be standardized to the same scale based on preset rules so that they can be weighted and summed. Standardization can use linear scaling or other standardization methods. The standardized first and second adjustment information are then weighted and summed according to set weights. This yields a comprehensive adjustment score. This score can be a numerical value, and its range will map to the adjustment behavior the terminal should adopt.

[0117] In one possible implementation, please refer to Figure 5 S300, based on the first and second adjustment information, obtains the comprehensive adjustment score of the air conditioner blower, including:

[0118] S310, perform a linear transformation on the first adjustment information and the second adjustment information.

[0119] Linear transformation is a common data transformation method that adjusts data through scaling and translation to fit a specific range or weight. Scaling and translation factors are pre-defined for linear transformation. The choice of these factors depends on the actual needs and controls the magnitude and offset of the data. Numerical transformations can be performed according to the rules of the linear transformation algorithm. For example, the transformed first adjustment information = scaling factor × first adjustment information + translation factor; the transformed second adjustment information = scaling factor × second adjustment information + translation factor.

[0120] S320, based on the result of linear transformation, obtain the mapping value of the first adjustment information and the mapping value of the second adjustment information.

[0121] It is understandable that the previously defined linear transformation algorithm rules can be used to obtain the first and second adjustment information after linear transformation. The first and second adjustment information after linear transformation are then output as mapping values. These mapping values ​​are the results of the linear transformation, derived from a combination of in-vehicle environmental factors and driving conditions, and can be directly used for subsequent control and adjustment.

[0122] S330, perform a weighted average of the mapping values ​​of the first adjustment information and the mapping values ​​of the second adjustment information.

[0123] It is understandable that weights can be predefined for the mapping values ​​of the first and second adjustment information. The weights depend on the degree of influence of each piece of information on the final adjustment score. An algorithm for calculating the overall adjustment score can be set, for example, Overall Adjustment Score = (Weight 1 × Mapping Value 1) + (Weight 2 × Mapping Value 2), and the calculated overall adjustment score is output as the overall adjustment score of the air conditioner blower. By defining the weights, the relative weights of different information can be flexibly adjusted to obtain an overall adjustment score. This score can be used for subsequent control and decision-making.

[0124] S340, based on the weighted average of the mapping values ​​of the first and second adjustment information, the comprehensive adjustment score of the air conditioner blower is obtained.

[0125] It is understandable that, through the set algorithm logic for calculating the overall adjustment score, the values ​​corresponding to the first and second adjustment information are extracted, the corresponding algorithm logic is executed, and the overall adjustment score of the air conditioner blower is calculated. The calculated overall adjustment score is output, and this score can be used to control the operating mode of the air conditioner blower.

[0126] S400 determines the air conditioner blower operating mode based on the comprehensive adjustment score of the air conditioner blower; the air conditioner blower operating mode is either the optimal power consumption mode or the optimal comfort mode.

[0127] It's understandable that a mapping rule can be defined between the overall regulation score and the air conditioner blower operating mode. Using this defined rule, the overall regulation score of the air conditioner blower is mapped to either the optimal power consumption mode or the optimal comfort mode. This can be achieved through a series of conditional statements or mapping functions. Based on the mapping result, the final air conditioner blower operating mode is output.

[0128] In one possible implementation, please refer to Figure 6 S400, based on the comprehensive adjustment score of the air conditioning blower, obtains the air conditioning blower operating mode, including:

[0129] S410 performs pattern matching on the overall adjustment score of the air conditioner blower according to preset rules.

[0130] It is understandable that pattern matching can be performed on the overall regulation score of the air conditioner blower by using a defined matching rule between the overall regulation score and the operating mode of the air conditioner blower. This can include thresholds, ranges, linear mappings, or other logical relationships. Pattern matching of the overall regulation score can be achieved through conditional judgments or mathematical functions according to the defined rules. By setting thresholds and defining pattern matching rules, the overall regulation score can be mapped to different operating modes.

[0131] S420, based on the result of pattern matching of the comprehensive adjustment score of the air conditioner blower according to preset rules, obtains the air conditioner blower operation mode.

[0132] It is understandable that by comparing the comprehensive adjustment score with a preset threshold, its numerical range can be determined, and based on this range, it can be mapped to the optimal power consumption mode or the optimal comfort mode. This mode matching process can be customized according to actual conditions to meet design and user needs. The output of the operating mode can serve as the basis for controlling the air conditioner blower, ensuring optimal operating performance under different conditions.

[0133] Optionally, please refer to Figure 7 S420, based on the pattern matching result of the comprehensive adjustment score of the air conditioner blower according to preset rules, obtains the air conditioner blower operating mode, including:

[0134] S421, when the overall adjustment score of the air conditioner blower is greater than or equal to the preset value, confirm that the air conditioner blower is operating in the optimal comfort mode.

[0135] It is understandable that the overall adjustment score can be compared with the preset threshold to identify the numerical range of the overall adjustment score. When the overall adjustment score of the air conditioner blower is greater than or equal to the preset value, it is mapped to the air conditioner blower operating mode corresponding to that numerical range, and the output air conditioner blower operating mode is confirmed to be the optimal comfort mode.

[0136] S422, when the overall adjustment score of the air conditioner blower is less than the preset value, confirm that the air conditioner blower is in the optimal power consumption mode.

[0137] It is understandable that the overall adjustment score can be compared with the preset threshold to identify the numerical range of the overall adjustment score. When the overall adjustment score of the air conditioner blower is less than the preset value, it is mapped to the air conditioner blower operating mode corresponding to that numerical range, and the output air conditioner blower operating mode is confirmed to be the optimal power consumption mode.

[0138] The S500 controls the operation of the air conditioning blower based on the air conditioning blower's operating mode and in-vehicle information.

[0139] It's understandable that the air conditioning blower can be controlled to perform corresponding operating states based on the operating mode of the air conditioning blower and actual data from inside the vehicle. In the optimal power consumption mode, a lower fan speed and temperature setting might be used; in the optimal comfort mode, a higher fan speed and a more comfortable temperature setting might be provided. The system analyzes in-vehicle information and adjusts the air conditioning blower's operating parameters based on factors such as temperature and humidity. For example, in cold weather, the air conditioning temperature setting might need to be increased, while in a humid environment, the fan speed and air circulation mode might need to be adjusted. The adjusted operating parameters and operating states are then translated into actual control commands and sent to the air conditioning blower through the vehicle control system to regulate the blower.

[0140] In one possible implementation, please refer to Figure 8 The S500 controls the operation of the air conditioning blower based on the blower's operating mode and in-vehicle information, including:

[0141] S510 determines the blower speed operation time curve based on the air conditioning blower operating mode and in-vehicle information.

[0142] It's understandable that corresponding blower speed operating time curves can be developed for different operating modes (such as optimal power consumption mode and optimal comfort mode). Different modes may require different priorities and adjustments. The blower speed operating time curve refers to a curve relating blower speed (fan speed level) to operating time, developed based on the air conditioning blower's operating mode and in-vehicle information. Such a curve can be used to guide the blower's operating time at different blower speeds under different conditions, achieving control that adapts to environmental changes and improves energy efficiency.

[0143] Optionally, please refer to Figure 9 S510, based on the air conditioning blower operating mode and in-vehicle information, determines the blower speed operating time curve, including:

[0144] S5111, when the air conditioner blower is in the optimal comfort mode, the possible curve for the first blower speed is determined based on the predefined comfort operation time curve.

[0145] It is understandable that a predefined comfort operating time curve is a pre-designed curve based on specific conditions and objectives, used to determine the operating time of different blower settings in the optimal comfort mode. This curve can be based on data obtained from research and user experience surveys to provide the most comfortable air conditioning experience under different in-vehicle environmental conditions. When the air conditioning blower is operating in the optimal comfort mode, the predefined comfort operating time curve is used as the base curve, i.e., the possible operating time curve for the first blower setting. The operating time for the first blower setting can then be determined based on in-vehicle information. This may include interpolating or mapping the corresponding operating time onto the curve based on in-vehicle parameters.

[0146] S5112, based on the possible curve of the operating time of the first blower setting, determine the air volume curve of the operating time of the blower setting.

[0147] It's understandable that each different blower setting corresponds to a specific airflow rate at that setting. This information is determined when the air conditioner blower is manufactured. Based on this data, a mathematical model or set of rules can be pre-established to map the operating time of the first blower setting to the corresponding airflow rate. This can be a linear relationship, curve fitting, or other appropriate mathematical expression. By mapping the possible operating time curve of the first blower setting to the actual operating time and airflow rate curve of the blower setting, the corresponding blower setting and airflow rate at each time point can be confirmed.

[0148] S5113, based on the in-vehicle airflow data, obtains the path and distribution of the in-vehicle airflow.

[0149] It's understandable that air velocity data for different areas inside the vehicle can be extracted from the simulation output of the vehicle's fluid dynamics model. Based on this data and a pre-defined flow velocity rule algorithm, an airflow trajectory map can be generated. These rules can be based on factors such as the magnitude and direction of the flow velocity, as well as other factors. The generated airflow trajectory map shows the path and distribution of airflow within the vehicle, identifying airflow paths and potential mixing areas. Through simulation, potential thermal unevenness issues inside the vehicle can be identified, allowing for control of the air conditioning blower's operation and preventing the driver or passengers from feeling overheated or undercooled in certain areas.

[0150] S5114, based on the path and distribution of airflow inside the vehicle and the air volume curve of the blower setting operation time, obtains the dynamic noise value generated during airflow.

[0151] It's understandable that the path and distribution of airflow inside the vehicle can be combined with the blower's operating time and airflow curve, and input into a preset dynamic noise model to obtain the continuous dynamic noise values ​​of the air conditioning blower at different time points. A dynamic noise model describes the temporal variation of noise generated by airflow inside the vehicle. The dynamic noise model can be established using mathematical methods, such as Fourier transform, to model the noise characteristics of each dynamic factor as variations in the time and frequency domains. This helps in understanding how noise changes over time and its components at different frequencies. By using the established time-frequency noise model to simulate the temporal changes of noise inside the vehicle at different time points, the simulation results can be synchronized with the actual dynamic factors in time.

[0152] S5115, based on the dynamic noise value generated during airflow and the possible curve of blower speed operation time, analyzes the situation where the dynamic noise value exceeds the noise threshold and the duration exceeds the time threshold.

[0153] It is understandable that a threshold for dynamic noise, i.e., the maximum allowable noise level, can be pre-set based on relevant standards, user experience requirements, or other design requirements. Simultaneously, a duration threshold can be set, representing the duration of noise exceeding the threshold. Dynamic noise data can be analyzed to identify time periods where noise values ​​exceed the set threshold. This enables peak detection of time-series data or statistical analysis of periods exceeding the threshold. The duration of noise periods exceeding the threshold can be determined. This can be achieved by using a subtraction algorithm for each period exceeding the threshold.

[0154] S5116, Based on the analysis of the situation where the dynamic noise value exceeds the noise threshold and the duration exceeds the time threshold, modify the possible curve of the first blower speed running time.

[0155] Understandably, based on the previous analysis, the specific blower speed operating time period causing dynamic noise to exceed the threshold can be determined. Identifying the problem area helps in targeted optimization. Within the problem area, the operating time curve of the first blower speed can be adjusted. Under the premise of setting the optimal comfort mode requirements, the parameters of the operating time curve of the first blower speed can be adjusted to meet the noise and ventilation needs of the optimal comfort mode. This may include reducing or adjusting the operating time of this speed to lower the noise level. A modification method based on preset judgment conditions, thresholds, and mapping relationships can be used to correspondingly modify the operating time curve of the first blower speed.

[0156] S5117, based on the results of modifying the possible curve of the first blower speed running time, obtain the first blower speed running time curve in the optimal comfort mode.

[0157] It is understandable that, after modifying the possible operating time curve of the first blower setting according to preset rules, this curve can be used as the operating time curve of the first blower setting in the optimal comfort mode to guide the operation of the air conditioner blower. The operating time curve of the first blower setting is obtained by adjusting the parameters of the possible operating time curve of the first blower setting under the premise of setting the optimal comfort mode target, to meet the requirements of the optimal comfort mode. This may include adjusting the absolute value or relative proportion of the operating time. The operating time curve of the first blower setting is the result of modifying the corresponding parameters based on the possible operating time curve of the first blower setting, and it is the actual curve to be applied to guide the actual operation of the air conditioner blower.

[0158] S520 controls the operation of the air conditioner blower based on the blower speed operation time curve.

[0159] It's understandable that the appropriate blower speed and operating time can be determined based on the blower speed and operating time curve. This could be achieved through curve interpolation or mapping. Based on the determined blower speed and operating time, corresponding control commands are sent to the air conditioner blower to adjust its operating status.

[0160] Optionally, please refer to Figure 10 S520, based on the blower speed operating time curve, controls the operation of the air conditioning blower, including:

[0161] S5211 identifies the running time of different blower speeds based on the first blower speed running time curve in the optimal comfort mode.

[0162] It's understandable that, assuming the optimal comfort mode is being used, the previously obtained runtime curve for the first blower setting can be retrieved. This curve has been optimized to meet the requirements of the optimal comfort mode. Alternatively, a runtime recognition algorithm could be pre-designed, which could determine the runtime for each blower setting based on the runtime curve for the first blower setting in the optimal comfort mode and a set threshold. The algorithm might require factors such as start-up, stop, and duration.

[0163] S5212, based on the results of identifying the running time of different blower speeds, controls the air conditioner blower to run according to the running time curve of the first blower speed in the optimal comfort mode.

[0164] It is understandable that the appropriate blower setting is determined based on the identified operating time results of different blower settings. This is achieved by comparing the current time with curve data to select the most suitable blower setting. Adjusting the operating time: Based on the selected blower setting, the operating time curve of the first blower setting in the optimal comfort mode is read. The blower's operating time is adjusted according to the curve data to ensure optimal comfort in the current environment. Controlling blower operation: The adjusted blower setting operating time information is transmitted to the air conditioning system to control the operation of the air conditioning blower. This ensures the blower operates according to the operating time curve of the first blower setting in the optimal comfort mode, fully adapting to changing in-vehicle environments, reducing overall energy consumption, improving vehicle fuel efficiency, meeting energy conservation and environmental protection requirements, enhancing driver and passenger comfort, and reducing safety hazards caused by the blower.

[0165] Optionally, please refer to Figure 11 S510, based on the air conditioning blower operating mode and in-vehicle information, determines the blower speed operating time curve, including:

[0166] S5121, when the air conditioner blower is in the optimal power consumption mode, the possible curve for the second blower speed is determined based on the predefined power consumption running time curve.

[0167] It's understandable that the predefined power consumption operating time curve is a pre-designed operating time curve for each blower speed setting. This curve can be used as the possible operating time curve for the second blower speed setting, and then modified to obtain the operating time curve for the second blower speed setting under the optimal power consumption mode. This predefined power consumption operating time curve can be based on the characteristics of the air conditioning system, the engineering requirements of the vehicle model, energy-saving requirements, etc. This curve describes the operating time of each blower speed setting in the optimal power consumption mode to minimize power consumption.

[0168] S5122, based on the temperature change difference and the remaining driving time of the vehicle, fits the possible curve of the second blower gear running time.

[0169] Understandably, a mathematical model algorithm can be pre-defined to describe the relationship between the second blast mode operating time and temperature changes and remaining driving time. Possible models include linear models, polynomial models, exponential models, etc. Using the selected model algorithm, model parameters are estimated by minimizing the fitting error. This can be done by using a fitting algorithm (such as least squares) to adjust the model parameters so that the model best matches the actual data. The estimated parameters are then applied to the temperature change difference and the vehicle's remaining driving time information to generate a fitted possible curve for the second blast mode operating time. This curve represents the model's approximation of the actual data. The goal of this fitting process is to find the impact of temperature changes and remaining driving time on the second blast mode operating time through a mathematical model and generate a curve that can accurately predict operating time under different conditions.

[0170] S5123, based on the fitting results of the possible curve of the second blower speed operation time, obtains the second blower speed operation time curve under the optimal power consumption mode.

[0171] It is understandable that after fitting the possible curve of the second blower mode's operating time based on a mathematical model algorithm, the output will be the second blower mode's operating time curve, which is fitted based on the actual temperature change difference and the vehicle's remaining driving time information parameters. This second blower mode's operating time curve, adapted to the optimal power consumption mode, is a blower operation adjustment curve that can provide sufficient airflow while minimizing power consumption and maintaining the comfort of the in-vehicle environment.

[0172] Optionally, please refer to Figure 12 S520, based on the blower speed operating time curve, controls the operation of the air conditioning blower, including:

[0173] S5221 identifies the running time of different blower speeds based on the second blower speed running time curve under the optimal power consumption mode.

[0174] It's understandable that, assuming the optimal comfort mode is being used, the previously obtained runtime curve for the second blower setting can be retrieved. This curve has been optimized to meet the requirements of the optimal power consumption mode. A runtime recognition algorithm could be pre-designed, which could determine the runtime of each blower setting based on the runtime curve of the second blower setting under the optimal power consumption mode and a set threshold. The algorithm might require factors such as start-up, stop, and duration.

[0175] S5222, based on the results of identifying the running time of different blower speeds, controls the air conditioner blower to operate according to the second blower speed running time curve under the optimal power consumption mode.

[0176] It is understandable that the appropriate blower speed should be determined based on the identified operating time results of different blower speeds. This can be achieved by comparing the current time with curve data to select the most suitable blower speed. Adjusting the operating time: Based on the selected blower speed, the operating time curve of the second blower speed under the corresponding optimal power consumption mode is read. Based on the curve data, the blower's operating time is adjusted to ensure optimal power consumption in the current environment. Controlling blower operation: The adjusted blower speed operating time information is transmitted to the air conditioning system to control the operation of the air conditioning blower. This ensures the blower operates according to the second blower speed operating time curve under the optimal power consumption mode, fully adapting to the changing in-vehicle environment, reducing overall energy consumption, improving vehicle fuel efficiency, meeting energy conservation and environmental protection requirements, enhancing driver and passenger comfort, and reducing safety hazards caused by the blower.

[0177] 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.

[0178] Corresponding to the automotive air conditioning blower control method described in the above embodiments, this application also provides an automotive air conditioning blower control device, the various units of which can realize the various steps of the automotive air conditioning blower control method. Figure 13 A structural block diagram of an automotive air conditioning blower control device provided in an embodiment of this application is shown. For ease of explanation, only the parts related to the embodiment of this application are shown.

[0179] Reference Figure 13 The automotive air conditioning blower control device includes:

[0180] An acquisition unit is used to acquire in-vehicle information; wherein, the in-vehicle information includes information reflecting the in-vehicle environment and driving conditions;

[0181] The first generation unit is configured to obtain first adjustment information and second adjustment information based on the in-vehicle information; wherein the first adjustment information and the second adjustment information are different.

[0182] The second generation unit is used to obtain the comprehensive adjustment score of the air conditioner blower based on the first adjustment information and the second adjustment information;

[0183] The selection unit is used to obtain the air conditioner blower operating mode based on the comprehensive adjustment score of the air conditioner blower; wherein the air conditioner blower operating mode is either the optimal power consumption mode or the optimal comfort mode.

[0184] The control unit is used to control the operation of the air conditioning blower based on the air conditioning blower operating mode and the in-vehicle information.

[0185] It should be noted that the information interaction and execution process between the above-mentioned devices / units are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, and they will not be repeated here.

[0186] 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 merely 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. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit module can exist physically separately, or two or more unit modules can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above device can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0187] This application also provides an automotive air conditioning blower control device. Figure 14 This is a schematic diagram of the structure of an automotive air conditioning blower control device provided in one embodiment of this application. Figure 14 As shown, the automotive air conditioning blower control device 6 of this embodiment includes: at least one processor 60 ( Figure 14 Only one is shown in the image), at least one memory 61 ( Figure 14 (Only one is shown in the image) and a computer program 62 stored in the at least one memory 61 and executable on the at least one processor 60, wherein when the processor 60 executes the computer program 62, it causes the automotive air conditioning blower control device 6 to perform the steps in any of the above-described automotive air conditioning blower control method embodiments, or causes the automotive air conditioning blower control device 6 to perform the functions of each unit in the above-described device embodiments.

[0188] For example, the computer program 62 may be divided into one or more units, which are stored in the memory 61 and executed by the processor 60 to complete this application. The one or more units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 62 in the automotive air conditioning blower control device 6.

[0189] The automotive air conditioning blower control device 6 may be an automotive control system (including the vehicle's built-in controller), in-vehicle equipment, augmented reality (AR) / virtual reality (VR) devices, computing devices or other processing devices connected to a wireless modem, vehicle networking terminals, computers, etc. This automotive air conditioning blower control device may include, but is not limited to, a processor 60 and a memory 61. Those skilled in the art will understand that... Figure 14 This is merely an example of the automotive air conditioning blower control device 6 and does not constitute a limitation on the automotive air conditioning blower control device 6. It may include more or fewer components than shown, or combine certain components, or different components, such as input / output devices, network access devices, buses, etc.

[0190] The processor 60 can be a Central Processing Unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0191] In some embodiments, the memory 61 may be an internal storage unit of the automotive air conditioning blower control device 6, such as a hard disk or memory of the automotive air conditioning blower control device 6. In other embodiments, the memory 61 may be an external storage device of the automotive air conditioning blower control device 6, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the automotive air conditioning blower control device 6. Further, the memory 61 may include both internal storage units and external storage devices of the automotive air conditioning blower control device 6. The memory 61 is used to store operating systems, applications, bootloaders, data, and other programs, such as the program code of computer programs. The memory 61 can also be used to temporarily store data that has been output or will be output.

[0192] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0193] This application provides a computer program product that, when run on an electronic device, causes the electronic device to perform the steps in any of the above method embodiments.

[0194] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0195] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0196] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0197] In the embodiments provided in this application, it should be understood that the disclosed automotive air conditioning blower control device / equipment and method can be implemented in other ways. For example, the embodiments of the automotive air conditioning blower control device / equipment described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0198] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0199] The above-described 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 method for controlling an automotive air conditioning blower, characterized in that, include: Acquire in-vehicle information; wherein, the in-vehicle information includes information reflecting the in-vehicle environment and driving conditions; Based on the in-vehicle information, first adjustment information and second adjustment information are obtained; wherein the first adjustment information and the second adjustment information are different. Based on the first adjustment information and the second adjustment information, the comprehensive adjustment score of the air conditioner blower is obtained; Based on the comprehensive adjustment score of the air conditioner blower, the air conditioner blower operating mode is obtained; wherein, the air conditioner blower operating mode is the optimal power consumption mode or the optimal comfort mode; Based on the air conditioning blower operating mode and the in-vehicle information, control the operation of the air conditioning blower; The step of controlling the operation of the air conditioning blower based on the air conditioning blower operating mode and the in-vehicle information includes: Based on the air conditioning blower operating mode and the in-vehicle information, a blower speed operating time curve is determined; wherein, the blower speed operating time curve is used to guide the operating time of the blower at different blower speeds under different conditions. Based on the blower speed operating time curve, control the operation of the air conditioner blower; The step of determining the blower speed operation time curve based on the air conditioning blower operating mode and the in-vehicle information includes: When the air conditioner blower is in the optimal comfort mode, the possible curve for the first blower speed is determined based on the predefined comfort operation time curve. Based on the possible curve of the first blower speed operating time, determine the blower speed operating time air volume curve; Based on the in-vehicle airflow data, the path and distribution of the in-vehicle airflow are obtained; Based on the path and distribution of airflow inside the vehicle and the air volume curve of the blower speed operation time, the dynamic noise value generated during airflow is obtained, including: combining the path and distribution of airflow inside the vehicle with the air volume curve of the blower speed operation time and inputting it into a preset dynamic noise model to obtain the continuous dynamic noise value of the air conditioning blower at different time points; wherein, the dynamic noise model is a model describing the change of noise generated during airflow inside the vehicle over time. Based on the dynamic noise value generated during airflow and the possible curve of the blower speed operation time, the case where the dynamic noise value exceeds the noise threshold and the duration exceeds the time threshold is analyzed. Based on the analysis of the situation where the dynamic noise value exceeds the noise threshold and the duration exceeds the time threshold, the possible curve of the first blower speed running time is modified. Based on the result of modifying the possible curve of the first blower gear running time, the first blower gear running time curve in the optimal comfort mode is obtained: wherein, the first blower gear running time curve is the result obtained by modifying the corresponding parameters based on the possible curve of the first blower gear running time.

2. The automotive air conditioning blower control method as described in claim 1, characterized in that, The acquisition of in-vehicle information includes: Obtain the vehicle's air conditioning set temperature information; Obtain in-vehicle navigation information; wherein, the in-vehicle navigation information includes information reflecting the vehicle's driving time; Acquire in-vehicle temperature sensor information and infrared temperature imaging information; wherein, the in-vehicle temperature sensor information includes information from multiple temperature sensors.

3. The automotive air conditioning blower control method as described in claim 2, characterized in that, The first adjustment information obtained based on the in-vehicle information includes: Based on the in-vehicle temperature sensor information and the infrared temperature imaging information, the in-vehicle temperature distribution is analyzed. Based on the results of the analysis of the temperature distribution inside the vehicle, data simulation of the airflow inside the vehicle is performed; Based on the results of the data simulation of the airflow inside the vehicle, the airflow data inside the vehicle is obtained; Based on the in-vehicle airflow data, the average in-vehicle temperature data is obtained; wherein, the average in-vehicle temperature data includes data reflecting the overall ambient temperature inside the vehicle; Based on the average temperature data inside the vehicle and the set temperature information of the vehicle's air conditioning, the temperature change difference is obtained; Based on the temperature change difference, the first regulation information reflecting environmental influencing factors is obtained.

4. The automotive air conditioning blower control method as described in claim 3, characterized in that, The process of obtaining the second adjustment information based on the in-vehicle information includes: Based on the in-vehicle navigation information, the remaining driving time information of the vehicle is obtained; Based on the remaining driving time information, second adjustment information reflecting the time-related factors is obtained.

5. The automotive air conditioning blower control method as described in claim 4, characterized in that, The step of obtaining the comprehensive adjustment score of the air conditioner blower based on the first adjustment information and the second adjustment information includes: Perform a linear transformation on the first adjustment information and the second adjustment information; Based on the result of the linear transformation, the mapping value of the first adjustment information and the mapping value of the second adjustment information are obtained; A weighted average is taken between the mapping values ​​of the first adjustment information and the mapping values ​​of the second adjustment information; Based on the weighted average of the mapping values ​​of the first adjustment information and the second adjustment information, the comprehensive adjustment score of the air conditioner blower is obtained.

6. The automotive air conditioning blower control method as described in claim 1, characterized in that, The process of obtaining the air conditioner blower operating mode based on the comprehensive adjustment score of the air conditioner blower includes: The overall adjustment score of the air conditioner blower is pattern matched according to preset rules; Based on the result of pattern matching of the comprehensive adjustment score of the air conditioner blower according to the preset rules, the operating mode of the air conditioner blower is obtained.

7. The automotive air conditioning blower control method as described in claim 6, characterized in that, The air conditioner blower operating mode is obtained based on the result of pattern matching of the comprehensive adjustment score of the air conditioner blower according to preset rules, including: When the overall adjustment score of the air conditioner blower is greater than or equal to the preset value, the air conditioner blower operating mode is confirmed to be the optimal comfort mode. When the overall adjustment score of the air conditioner blower is less than the preset value, the air conditioner blower operating mode is confirmed to be the optimal power consumption mode.

8. A control device for an automotive air conditioning blower, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method as described in any one of claims 1 to 7.

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