A vehicle refrigerator control method and system based on vehicle-computer interaction

Abstract

The present application relates to the field of refrigeration equipment control technology, and in particular to a vehicle refrigerator control method and system based on vehicle-computer interaction. The method includes: obtaining the type of stored items, and determining the basic temperature requirement according to the type of stored items; obtaining vehicle driving state information, analyzing the vehicle driving state, and determining the real-time control strategy based on the basic temperature requirement; obtaining the in-vehicle environmental parameters, analyzing the in-vehicle environmental parameters, and determining the frosting intervention control strategy based on the real-time control strategy; performing low-frosting temperature control on the vehicle refrigerator according to the basic temperature requirement, the real-time control strategy, and the frosting intervention control strategy. The present application realizes low-frosting temperature control of the vehicle refrigerator, so that the refrigeration temperature inside the vehicle refrigerator can remain stable under the continuously changing vehicle driving conditions, while reducing the amount of frost inside the vehicle refrigerator, and reducing the negative impact of frost inside the vehicle refrigerator on the stability of the refrigeration temperature.

Description

Technical Field

[0001] The present application relates to the technical field of refrigeration equipment control, and in particular to a vehicle refrigerator control method and system based on vehicle-computer interaction. Background Art

[0002] Modern people pay more and more attention to convenient and healthy lifestyles. Car refrigerators can conveniently carry fresh food, drinks and medicines, meeting the needs of people's daily travel and short trips. With the rise of smart homes, car refrigerators are also developing in the direction of intelligence, improving the user experience.

[0003] However, the interaction between existing car refrigerators and vehicles is extremely limited, and it is difficult for car refrigerators to be intelligently adjusted according to the real-time status of the vehicle. As a result, it is difficult for existing car refrigerators to strike a balance between user experience, energy utilization efficiency and storage effect, resulting in fragmented user experience and reduced overall system stability in the car. Summary of the invention

[0004] The present application provides a vehicle refrigerator control method and system based on vehicle-computer interaction to solve the above problems.

[0005] In a first aspect, the present application provides a vehicle refrigerator control method based on vehicle-machine interaction, the method comprising:

[0006] Acquire the type of stored items, and determine the basic temperature requirement according to the type of stored items;

[0007] Acquire vehicle driving state information, analyze the vehicle driving state, and determine a real-time control strategy based on the basic temperature requirement;

[0008] Acquiring in-vehicle environmental parameters, analyzing the in-vehicle environmental parameters, and determining a frosting intervention control strategy based on the real-time control strategy;

[0009] According to the basic temperature requirement, the real-time control strategy and the frosting intervention control strategy, the vehicle refrigerator is subjected to low frosting temperature control.

[0010] Through the above technical scheme, the basic temperature requirement of the items stored in the car refrigerator is determined according to the type of stored items, and combined with the driving status of the vehicle, the real-time control strategy of the car refrigerator during driving is determined. At the same time, combined with the in-vehicle environmental parameters, the frost intervention control strategy is determined to achieve low-frost temperature control of the car refrigerator, so that the refrigeration temperature inside the car refrigerator can remain stable under the continuously changing driving conditions of the vehicle, while reducing the amount of frost inside the car refrigerator, reducing the negative impact of frost inside the car refrigerator on the refrigeration temperature stability.

[0011] Optionally, the vehicle driving state includes a changing inclination angle, a driving speed, an acceleration, and a bump intensity, and the analyzing the vehicle driving state and determining a real-time control strategy based on the basic temperature requirement includes:

[0012] Analyzing the changing inclination angle and the driving speed to determine the inclination angle interaction influence coefficient;

[0013] Analyzing the acceleration and the driving speed to determine an acceleration interaction influence coefficient;

[0014] Analyzing the bump intensity and the driving speed to determine a bump interaction coefficient;

[0015] According to the basic temperature requirement, the inclination interaction coefficient, the acceleration interaction coefficient and the turbulence interaction coefficient, the real-time target power is determined with reference to the following formula:

[0016] ;

[0017] in, is the real-time target power, is the preset cooling power influence coefficient, is the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, It is the preset cooling power impact index;

[0018] The real-time target power is determined according to the real-time target power.

[0019] Through the above technical scheme, the changing inclination angle, driving speed, acceleration and bump intensity are analyzed, and the inclination angle interaction coefficient, acceleration interaction coefficient and bump interaction coefficient are determined respectively. Then, through a mathematical formula, the above influence coefficients are combined to accurately quantify the real-time target power that needs to be adjusted for the car refrigerator compressor under the current vehicle driving state, so that the refrigeration temperature of the car refrigerator can remain stable under different vehicle driving conditions, thereby improving the preservation effect of the car refrigerator on internal items and optimizing the user experience.

[0020] Optionally, the changing inclination angle and the driving speed are analyzed to determine the inclination angle interaction coefficient, referring to the following formula:

[0021] ;

[0022] in, is the inclination interaction coefficient, is the first-order effect coefficient of the preset inclination angle, is the changing inclination angle, is the second-order effect coefficient of the preset inclination angle, is the first-order effect coefficient of preset speed, is the driving speed, is the preset speed second-order effect coefficient.

[0023] Through the above technical scheme, mathematical formulas are used to describe the linear and nonlinear effects of the inclination angle change on the temperature inside the car refrigerator, and at the same time, the linear and nonlinear effects of the driving speed on the inclination angle change are described. After combining the above linear and nonlinear effects, the inclination angle interaction coefficient that reflects the impact of the vehicle inclination angle change on the temperature of the car refrigerator is accurately obtained, so that the inclination angle interaction coefficient conforms to the actual situation, and at the same time makes the inclination angle interaction coefficient more comprehensive and accurate.

[0024] Optionally, the acceleration and the driving speed are analyzed to determine the acceleration interaction coefficient, referring to the following formula:

[0025] ;

[0026] in, is the acceleration interaction coefficient, is the acceleration, is the preset acceleration threshold, is the preset acceleration first-order effect coefficient, is the preset acceleration second-order effect coefficient, is the preset inclination interaction effect coefficient.

[0027] Through the above technical scheme, mathematical formulas are used to describe the linear and nonlinear effects of acceleration on the internal temperature of the car refrigerator, and at the same time describe the effect of driving speed on acceleration, so as to quantify the acceleration interaction influence coefficient that reflects the effect of acceleration on the internal temperature of the car refrigerator, so that the acceleration interaction influence coefficient conforms to the actual vehicle driving state, and improves the comprehensiveness and accuracy of the acceleration interaction influence coefficient.

[0028] Optionally, the bump intensity and the driving speed are analyzed to determine the bump interaction coefficient, referring to the following formula:

[0029] ;

[0030] in, is the turbulence interaction coefficient, is the preset first-order effect coefficient of turbulence, is the turbulence intensity, is the preset second-order effect coefficient of turbulence, is the third-order effect coefficient of preset speed.

[0031] Through the above technical scheme, mathematical formulas are used to describe the linear and nonlinear effects of bump intensity on the internal temperature of the car refrigerator, and at the same time describe the effect of driving speed on the bump intensity, so as to quantify the bump interaction coefficient that reflects the effect of bump intensity on the internal temperature of the car refrigerator, so that the bump interaction coefficient is consistent with the actual vehicle driving state, and the comprehensiveness and accuracy of the bump interaction coefficient are improved.

[0032] Optionally, the in-vehicle environmental parameter includes in-vehicle air humidity, and the analyzing the in-vehicle environmental parameter and determining the frosting intervention control strategy based on the real-time control strategy includes:

[0033] Comparing the air humidity in the vehicle with a preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range;

[0034] If the air humidity in the vehicle exceeds the preset low frosting humidity range, determining a current air humidity difference according to the air humidity in the vehicle and the preset low frosting humidity range;

[0035] Determining a target temperature difference according to the current air humidity difference and the basic temperature requirement;

[0036] Determining intervention adjustment power according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index;

[0037] According to the intervention power adjustment, a frosting intervention control strategy is determined.

[0038] Through the above technical scheme, when the air humidity in the car will significantly increase the amount of frost inside the car refrigerator, the current air humidity difference is determined according to the air humidity in the car and the preset low frost humidity range, and the target temperature difference is determined according to the previous air humidity difference and the basic temperature requirement. Then, based on the target temperature difference, the preset refrigeration power influence coefficient and the preset refrigeration power influence index, the intervention adjustment power required for the current car refrigerator to maintain low frost is determined, and the frosting intervention control strategy is determined according to the intervention adjustment power, so that the frosting intervention control strategy can maintain low frost in the car refrigerator under high air humidity in the car, thereby reducing the negative impact of frost in the car refrigerator on the preservation of items.

[0039] Optionally, the target temperature difference is determined according to the current air humidity difference and the basic temperature requirement, referring to the following formula:

[0040] ;

[0041] in, is the target temperature difference, is the preset floating scale factor, is the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, To preset the humidity influence coefficient, is the current air humidity difference.

[0042] Through the above technical solution, mathematical formulas are used to quantify the target temperature difference based on the current air humidity difference and basic temperature requirements, so that the target temperature difference conforms to the actual situation of the current car refrigerator, thereby improving the comprehensiveness and accuracy of the target temperature difference.

[0043] Optionally, the intervention adjustment power is determined according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index, with reference to the following formula:

[0044] ;

[0045] in, adjusting power for the intervention, is the preset cooling power influence coefficient, is the preset proportional control coefficient, is the target temperature difference, is the preset integral control coefficient, is the preset differential control coefficient, is the preset refrigeration power impact index.

[0046] Through the above technical scheme, mathematical formulas are used and the proportional-integral-differential mathematical analysis method is used to quantify the intervention adjustment power according to the target temperature difference, the preset refrigeration power influence coefficient and the preset refrigeration power influence index. The intervention adjustment power can accurately reflect the compressor power value required to adjust the vehicle refrigerator in the current actual high humidity vehicle environment to maintain low frost, thereby further reducing the amount of frost inside the vehicle refrigerator.

[0047] Optionally, the low-frosting temperature control of the vehicle refrigerator according to the basic temperature requirement, the real-time control strategy and the frosting intervention control strategy includes:

[0048] Acquiring a real-time refrigeration temperature of the vehicle refrigerator, comparing the real-time refrigeration temperature with the basic temperature requirement, and determining whether the real-time refrigeration temperature reaches the basic temperature requirement;

[0049] If the real-time cooling temperature reaches the basic temperature requirement, executing the real-time control strategy;

[0050] When executing the real-time control strategy, the air humidity in the vehicle is compared with the preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range;

[0051] If the air humidity in the vehicle exceeds the preset low frosting humidity range, the vehicle air conditioning system is controlled to perform dehumidification, and at the same time the frosting intervention control strategy is executed to perform low frosting temperature control on the vehicle refrigerator.

[0052] Through the above technical scheme, the execution conditions of the real-time control strategy are clarified, and the intervention conditions of the frosting intervention control strategy are clarified, so as to improve the control efficiency of the low-frosting temperature control of the vehicle refrigerator, and at the same time improve the stability of the low-frosting temperature control process.

[0053] In a second aspect, the present application provides a vehicle refrigerator control system based on vehicle-computer interaction, the system comprising:

[0054] A basic analysis module, used to obtain the type of stored items and determine the basic temperature requirement according to the type of stored items;

[0055] A real-time strategy determination module, used to obtain vehicle driving state information, analyze the vehicle driving state, and determine a real-time control strategy based on the basic temperature requirement;

[0056] An intervention strategy determination module, used for acquiring in-vehicle environmental parameters, analyzing the in-vehicle environmental parameters, and determining a frosting intervention control strategy based on the real-time control strategy;

[0057] The control module is used to perform low-frosting temperature control on the vehicle refrigerator according to the basic temperature requirement, the real-time control strategy and the frosting intervention control strategy.

[0058] Optionally, the real-time strategy determination module is specifically used to:

[0059] Analyzing the changing inclination angle and the driving speed to determine the inclination angle interaction influence coefficient;

[0060] Analyzing the acceleration and the driving speed to determine an acceleration interaction influence coefficient;

[0061] Analyzing the bump intensity and the driving speed to determine a bump interaction coefficient;

[0062] According to the basic temperature requirement, the inclination interaction coefficient, the acceleration interaction coefficient and the turbulence interaction coefficient, the real-time target power is determined with reference to the following formula:

[0063] ;

[0064] in, is the real-time target power, is the preset cooling power influence coefficient, is the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, It is the preset cooling power impact index;

[0065] The real-time target power is determined according to the real-time target power.

[0066] Optionally, the real-time strategy determination module refers to some formulas when analyzing the changing inclination angle and the driving speed to determine the inclination angle interaction influence coefficient:

[0067] ;

[0068] in, is the inclination interaction coefficient, is the first-order effect coefficient of the preset inclination angle, is the changing inclination angle, is the second-order effect coefficient of the preset inclination angle, is the first-order effect coefficient of preset speed, is the driving speed, is the preset speed second-order effect coefficient.

[0069] Optionally, the real-time strategy determination module refers to the following formula when analyzing the acceleration and the driving speed to determine the acceleration interaction influence coefficient:

[0070] ;

[0071] in, is the acceleration interaction coefficient, is the acceleration, is the preset acceleration threshold, is the preset acceleration first-order effect coefficient, is the preset acceleration second-order effect coefficient, is the preset inclination interaction effect coefficient.

[0072] Optionally, the real-time strategy determination module refers to the following formula when analyzing the bump intensity and the driving speed to determine the bump interaction influence coefficient:

[0073] ;

[0074] in, is the turbulence interaction coefficient, is the preset first-order effect coefficient of turbulence, is the turbulence intensity, is the preset second-order effect coefficient of turbulence, is the third-order effect coefficient of preset speed.

[0075] Optionally, the intervention strategy determination module is specifically used to:

[0076] Comparing the air humidity in the vehicle with a preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range;

[0077] If the air humidity in the vehicle exceeds the preset low frosting humidity range, determining a current air humidity difference according to the air humidity in the vehicle and the preset low frosting humidity range;

[0078] Determining a target temperature difference according to the current air humidity difference and the basic temperature requirement;

[0079] Determining intervention adjustment power according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index;

[0080] According to the intervention power adjustment, a frosting intervention control strategy is determined.

[0081] Optionally, the intervention strategy determination module refers to the following formula when determining the target temperature difference according to the current air humidity difference and the basic temperature requirement:

[0082] ;

[0083] in, is the target temperature difference, is the preset floating scale factor, is the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, To preset the humidity influence coefficient, is the current air humidity difference.

[0084] Optionally, the intervention strategy determination module refers to the following formula when determining the intervention adjustment power according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index:

[0085] ;

[0086] in, adjusting power for the intervention, is the preset cooling power influence coefficient, is the preset proportional control coefficient, is the target temperature difference, is the preset integral control coefficient, is the preset differential control coefficient, is the preset refrigeration power impact index.

[0087] Optionally, the control module is specifically used to:

[0088] Acquiring a real-time refrigeration temperature of the vehicle refrigerator, comparing the real-time refrigeration temperature with the basic temperature requirement, and determining whether the real-time refrigeration temperature reaches the basic temperature requirement;

[0089] If the real-time cooling temperature reaches the basic temperature requirement, executing the real-time control strategy;

[0090] When executing the real-time control strategy, the air humidity in the vehicle is compared with the preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range;

[0091] If the air humidity in the vehicle exceeds the preset low frosting humidity range, the vehicle air conditioning system is controlled to perform dehumidification, and at the same time the frosting intervention control strategy is executed to perform low frosting temperature control on the vehicle refrigerator. BRIEF DESCRIPTION OF THE DRAWINGS

[0092] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0093] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0094] Figure 2 A flow chart of a vehicle refrigerator control method based on vehicle-machine interaction provided in one embodiment of the present application;

[0095] Figure 3 A schematic structural diagram of a vehicle refrigerator control system based on vehicle-computer interaction provided in one embodiment of the present application. DETAILED DESCRIPTION

[0096] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0097] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0098] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0099] The interaction between existing car refrigerators and vehicles is extremely limited, and it is difficult for car refrigerators to be intelligently adjusted according to the real-time status of the vehicle. As a result, it is difficult for existing car refrigerators to strike a balance between user experience, energy utilization efficiency and storage effect, resulting in fragmented user experience and reduced stability of the overall system in the car.

[0100] Based on this, the present application provides a vehicle refrigerator control method and system based on vehicle-computer interaction. According to the type of stored items, the basic temperature requirements of the stored items in the vehicle refrigerator are determined, and combined with the vehicle driving state, the real-time control strategy of the vehicle refrigerator during the vehicle driving process is determined, and at the same time, combined with the in-vehicle environmental parameters, the frosting intervention control strategy is determined to achieve low frosting temperature control of the vehicle refrigerator, so that the refrigeration temperature inside the vehicle refrigerator can remain stable under the continuously changing vehicle driving state, and at the same time reduce the amount of frost inside the vehicle refrigerator, and reduce the negative impact of frost inside the vehicle refrigerator on the stability of the refrigeration temperature.

[0101] Figure 1 A schematic diagram of an application scenario provided by the present application. During vehicle driving, the method provided by the present application is applied to perform low-frost temperature control on the vehicle refrigerator based on the type of items stored in the vehicle refrigerator, the vehicle driving state and the vehicle interior environment, so that the internal refrigeration temperature of the vehicle refrigerator remains stable during vehicle driving while maintaining low frost in the vehicle refrigerator.

[0102] Specifically, the method provided in the present application is installed in any vehicle computer, which communicates with a vehicle refrigerator and at the same time communicates with several parameter sensors built into the vehicle. The type of storage items selected by the user is obtained through the vehicle computer, and the basic temperature requirement of the storage items in the vehicle refrigerator is determined according to the type of storage items. Then, the vehicle driving status provided by the several parameter sensors is obtained and analyzed, and a real-time control strategy for the vehicle refrigerator during vehicle driving is determined. At the same time, the in-vehicle environmental parameters provided by the several parameter sensors are obtained and analyzed, and a frosting intervention control strategy is determined to achieve low-frosting temperature control of the vehicle refrigerator, so that the refrigeration temperature inside the vehicle refrigerator can remain stable under the continuously changing vehicle driving status, while reducing the amount of frost inside the vehicle refrigerator and reducing the negative impact of frost inside the vehicle refrigerator on the refrigeration temperature stability.

[0103] For specific implementation methods, please refer to the following embodiments.

[0104] Figure 2 This is a flow chart of a vehicle refrigerator control method based on vehicle-machine interaction provided in an embodiment of the present application. The method of this embodiment can be applied to the vehicle-machine in the above scenario. Figure 2 As shown, the method includes:

[0105] S201. Obtain the type of stored items, and determine the basic temperature requirement according to the type of stored items.

[0106] The storage item type may be the type of items stored in the vehicle refrigerator, such as food, medicine, and the like.

[0107] The basic temperature requirement may be the basic storage temperature required for items in the vehicle refrigerator.

[0108] Specifically, car refrigerators are mostly used to store food and medicine. Different types of items in the car refrigerator require different refrigeration temperatures. To ensure the storage effect of items in the car refrigerator, after the user places the items into the car refrigerator, the car system prompts the user to select the type of items stored in the car refrigerator. According to the type of storage items selected by the user through the human-computer interaction device, the preset basic temperature database for storing the corresponding storage temperatures of different types of items is queried to determine the basic temperature requirement corresponding to the current type of storage items.

[0109] S202: Acquire vehicle driving status information, analyze the vehicle driving status, and determine a real-time control strategy based on basic temperature requirements.

[0110] The vehicle driving state information may be parameter information used to describe the current vehicle driving state, such as driving speed, acceleration, etc. The vehicle driving state information may be obtained through several parameter sensors built into the vehicle.

[0111] The real-time control strategy may be a strategy for making real-time control of the power of the vehicle refrigerator compressor according to different vehicle driving states during the vehicle driving process.

[0112] Specifically, different driving conditions of the vehicle will affect factors such as the air flow inside and outside the vehicle, the vehicle's power load, and the intensity of vehicle bumps, which will indirectly affect the refrigeration effect of the car refrigerator in the vehicle. If the compressor power in the car refrigerator is not adjusted according to the actual driving condition of the vehicle, the temperature in the car refrigerator will not be able to stably meet the temperature requirements of the items during the driving of the vehicle, resulting in poor preservation of the items in the car refrigerator, especially for drugs that are sensitive to temperature, such as insulin, which can easily cause the active ingredients in the drugs to lose their activity, thereby causing a negative impact on the user's physical condition. Therefore, the vehicle driving condition is analyzed through mathematical analysis, and then the real-time control strategy is determined based on the basic temperature requirements corresponding to the items.

[0113] S203: Obtain in-vehicle environmental parameters, analyze the in-vehicle environmental parameters, and determine a frosting intervention control strategy based on a real-time control strategy.

[0114] The in-vehicle environmental parameters may be relevant environmental parameters in the vehicle that may affect the refrigeration process of the vehicle refrigerator during driving, such as air humidity, etc. The in-vehicle environmental parameters may be obtained through several parameter sensors built into the vehicle.

[0115] The frost intervention control strategy may be a control strategy capable of reducing frost inside the vehicle refrigerator.

[0116] Specifically, during the driving process of the vehicle, the in-vehicle environmental parameters will change, such as air humidity. The changes in the in-vehicle environmental parameters will cause an increase in the amount of frost inside the car refrigerator. Specifically, when the in-vehicle air humidity is too high, the air in the car enters the car refrigerator, and the moisture in the air is affected by the low temperature inside the car refrigerator and condenses into frost inside the car refrigerator, resulting in poor air circulation inside the car refrigerator, causing the internal temperature of the car refrigerator to be unstable, and then causing a negative impact on items such as food and medicines stored in the car refrigerator. The in-vehicle environmental parameter sensors built into the vehicle, such as temperature and humidity sensors, are used to obtain the in-vehicle environmental parameters, and the in-vehicle environmental parameters are analyzed through mathematical analysis methods to clarify the impact of the in-vehicle environmental parameters on the frosting of the car refrigerator, and then determine the frosting intervention control strategy to reduce the frosting of the car refrigerator.

[0117] S204: performing low-frost temperature control on the vehicle refrigerator according to the basic temperature requirement, the real-time control strategy and the frosting intervention control strategy.

[0118] Low-frost temperature control can be an automated control process for the purpose of maintaining the refrigeration temperature stability in the vehicle refrigerator under the premise of reducing the amount of frost in the vehicle refrigerator.

[0119] Specifically, according to the basic temperature requirements, real-time control strategy and frost intervention control strategy, the power of the compressor inside the car refrigerator is automatically adjusted through vehicle-computer interaction, so that the car refrigerator can maintain a stable internal refrigeration temperature during driving, while reducing the amount of frost in the car refrigerator, so as to achieve low-frost temperature control of the car refrigerator.

[0120] Through the method provided in this embodiment, the basic temperature requirement of the items stored in the vehicle refrigerator is determined according to the type of stored items, and in combination with the driving status of the vehicle, the real-time control strategy of the vehicle refrigerator during driving is determined, and at the same time, in combination with the in-vehicle environmental parameters, the frost intervention control strategy is determined to achieve low-frost temperature control of the vehicle refrigerator, so that the refrigeration temperature inside the vehicle refrigerator can remain stable under the continuously changing driving status of the vehicle, and at the same time reduce the amount of frost inside the vehicle refrigerator, thereby reducing the negative impact of frost inside the vehicle refrigerator on the refrigeration temperature stability.

[0121] In some embodiments, the changing inclination angle and the driving speed are analyzed to determine the inclination angle interaction coefficient; the acceleration and the driving speed are analyzed to determine the acceleration interaction coefficient; the bump intensity and the driving speed are analyzed to determine the bump interaction coefficient; according to the basic temperature requirement, the inclination angle interaction coefficient, the acceleration interaction coefficient and the bump interaction coefficient, refer to the following formula (1) to determine the real-time target power:

[0122] (1)

[0123] in, is the real-time target power, is the preset cooling power influence coefficient, As the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, The preset cooling power impact index is used; the real-time target power is determined according to the real-time target power.

[0124] The vehicle driving state includes a changing inclination angle, a driving speed, an acceleration and a bump intensity.

[0125] The variable inclination angle can be the angle formed between the vehicle body and the vertical direction of the ground due to the influence of slopes, curves, crosswinds, etc. during the driving process of the vehicle. The variable inclination angle can be obtained through the vehicle's built-in DSC (dynamic stability control system).

[0126] The driving speed may be the real-time speed of the vehicle during driving, and the driving speed may be obtained through a speed sensor built into the vehicle.

[0127] Acceleration can be the degree to which the vehicle's speed changes while driving, and the acceleration can be obtained through the vehicle's built-in IMU (inertial measurement unit).

[0128] The bump intensity may be used for the bump intensity inside the current vehicle, and the bump intensity may be acquired through an IMU (inertial measurement unit) built into the vehicle.

[0129] The inclination angle interaction coefficient may be the influence of the inclination angle change occurring at the current driving speed of the vehicle on the temperature stability in the vehicle refrigerator.

[0130] The acceleration interaction influence coefficient may be the influence of the acceleration change occurring at the current driving speed of the vehicle on the temperature stability in the vehicle refrigerator.

[0131] The bump interaction coefficient may be the effect of bumps occurring at the current driving speed of the vehicle on the temperature stability in the vehicle refrigerator.

[0132] The real-time target power may be a target power required for adjusting the compressor to maintain the stability of the refrigeration temperature in the vehicle refrigerator during driving of the vehicle.

[0133] The preset refrigeration power influence coefficient may be an influence coefficient of temperature difference on the power of the vehicle refrigerator compressor.

[0134] The preset refrigeration power impact index may be an impact index of temperature difference on the power of the vehicle refrigerator compressor.

[0135] Specifically, during the driving process of the vehicle, various dynamic factors will affect the temperature stability of the vehicle refrigerator. Among them, the changing inclination angle of the vehicle will cause uneven air flow in the vehicle refrigerator, resulting in a decrease in the refrigeration temperature stability. The change in the driving speed of the vehicle will affect the power supply stability of the vehicle refrigerator, thereby causing poor refrigeration temperature stability. The acceleration change and bumping of the vehicle will hinder the flow of refrigerant inside the vehicle refrigerator, further reducing the refrigeration temperature stability. Therefore, during the driving process of the vehicle, the changing inclination angle, driving speed, acceleration and bumping intensity are comprehensively analyzed through mathematical analysis methods, and then the inclination angle interaction coefficient, the inclination angle interaction coefficient and the bumping interaction coefficient are respectively obtained. The above coefficients are combined through formula (1) to quantify the real-time target power that the vehicle refrigerator compressor needs to adjust under the current vehicle driving state to ensure the refrigeration temperature stability.

[0136] Through the method provided in this embodiment, the changing inclination angle, driving speed, acceleration and bump intensity are analyzed, and the inclination angle interaction coefficient, acceleration interaction coefficient and bump interaction coefficient are determined respectively. Then, through a mathematical formula, the above-mentioned influence coefficients are combined to accurately quantify the real-time target power that needs to be adjusted by the vehicle refrigerator compressor under the current vehicle driving state, so that the refrigeration temperature of the vehicle refrigerator can be kept stable under different vehicle driving conditions, thereby improving the preservation effect of the vehicle refrigerator on the internal items and optimizing the user experience.

[0137] In some embodiments, the changing inclination angle and the driving speed are analyzed to determine the inclination angle interaction coefficient, referring to the following formula (2):

[0138] (2)

[0139] in, is the inclination interaction coefficient, is the first-order effect coefficient of the preset inclination angle, is the changing inclination angle, is the second-order effect coefficient of the preset inclination angle, is the first-order effect coefficient of preset speed, is the driving speed, is the preset speed second-order effect coefficient.

[0140] The preset first-order effect coefficient of the inclination angle may be a coefficient reflecting the direct linear effect of the change in the inclination angle on the internal temperature of the vehicle refrigerator. The preset first-order effect coefficient of the inclination angle may be obtained by performing a linear regression analysis on the experimental data of the vehicle refrigerator.

[0141] The preset second-order effect coefficient of the inclination angle may be a coefficient reflecting the nonlinear effect of the inclination angle change on the internal temperature of the vehicle refrigerator. The preset second-order effect coefficient of the inclination angle may be obtained by performing a polynomial fitting analysis on the implementation data of the vehicle refrigerator.

[0142] The first-order effect coefficient of the preset speed may be a coefficient reflecting the linear regulation effect of the driving speed on the change of the inclination angle, and the first-order effect coefficient of the preset speed may be obtained by performing a linear regression analysis on the vehicle driving data.

[0143] The preset speed second-order effect coefficient may be a coefficient of the nonlinear regulating effect of the driving speed on the tilt angle change, and the preset speed second-order effect coefficient may be obtained by performing a polynomial fitting analysis on the vehicle driving data.

[0144] Specifically, when the vehicle inclination angle changes slightly, its effect on the refrigeration temperature in the vehicle refrigerator is direct and linear, because within a small angle range, the effect of gravity on the flow of cold air inside the refrigerator will not change dramatically. However, when the vehicle inclination angle changes significantly, its effect is no longer a simple linear relationship. A large inclination angle change may cause a drastic change in the position of items in the refrigerator, affecting the flow of cold air and causing complex heat exchange phenomena. Therefore, through formula (2), , expressing the linear and nonlinear effects of the tilt angle change on the temperature inside the car refrigerator.

[0145] Furthermore, when the driving speed is low or the change is small, the regulating effect of speed on the inclination angle is linear. This is because the driving speed at this time does not significantly change the way the inclination angle affects the vehicle system. It is only a simple proportional relationship. When the driving speed is high or the change is fast, the vehicle will show complex dynamic performance. At this time, the effect of driving speed on the change of inclination angle is nonlinear. Therefore, through formula (2) , expressing the linear and nonlinear effects of driving speed on the inclination change, and then using formula (2) to derive the inclination interaction coefficient that can reflect the effect of vehicle inclination change on the temperature of the vehicle refrigerator.

[0146] Through the method provided in this embodiment, mathematical formulas are used to describe the linear and nonlinear effects of the inclination angle change on the temperature inside the vehicle refrigerator, and at the same time, the linear and nonlinear effects of the driving speed on the inclination angle change are described. After combining the above linear and nonlinear effects, the inclination angle interaction coefficient that reflects the effect of the vehicle inclination angle change on the temperature of the vehicle refrigerator is accurately obtained, so that the inclination angle interaction coefficient conforms to the actual situation, and at the same time makes the inclination angle interaction coefficient more comprehensive and accurate.

[0147] In some embodiments, the acceleration and the driving speed are analyzed to determine the acceleration interaction coefficient, referring to the following formula (3):

[0148] (3)

[0149] in, is the acceleration interaction coefficient, is the acceleration, is the preset acceleration threshold, is the preset acceleration first-order effect coefficient, is the preset acceleration second-order effect coefficient, is the preset inclination interaction effect coefficient.

[0150] The preset acceleration threshold may be a lower limit of vehicle acceleration that will significantly affect the internal temperature of the vehicle refrigerator.

[0151] The preset acceleration first-order effect coefficient may be a coefficient reflecting the direct linear effect of the acceleration change on the internal temperature of the vehicle refrigerator. The preset acceleration first-order effect coefficient may be obtained by performing a linear regression analysis on the experimental data of the vehicle refrigerator.

[0152] The preset acceleration second-order effect coefficient may be a coefficient reflecting the nonlinear effect of acceleration change on the internal temperature of the vehicle refrigerator. The preset acceleration second-order effect coefficient may be obtained by performing a polynomial fitting analysis on the experimental data of the vehicle refrigerator.

[0153] The preset tilt angle interaction effect coefficient may be a coefficient used to describe how the vehicle's driving speed corrects or amplifies the tilt effect caused by acceleration. The preset tilt angle interaction effect coefficient may be obtained by performing a linear regression analysis on the vehicle's driving data.

[0154] Specifically, the influence of vehicle acceleration on the internal temperature of the car refrigerator also includes linear influence and nonlinear influence. Specifically, when the vehicle is accelerating or decelerating normally, the acceleration is small, and the car refrigerator is only affected by inertia within the normal range. At this time, the influence of acceleration on the internal temperature of the car refrigerator is linear. When the vehicle acceleration is large, such as sudden braking, it will cause disturbances in the internal components of the car refrigerator. At this time, the influence of acceleration on the internal temperature of the car refrigerator is nonlinear. Therefore, through formula (2), Describe the linear and nonlinear effects of acceleration on the internal temperature of the car refrigerator, and at the same time The influence of driving speed on acceleration is described to quantify the acceleration interaction coefficient that can accurately reflect the influence of acceleration on the internal temperature of the vehicle refrigerator.

[0155] Through the method provided in this embodiment, mathematical formulas are used to describe the linear and nonlinear effects of acceleration on the internal temperature of the vehicle refrigerator, and at the same time describe the effect of driving speed on acceleration, so as to quantify the acceleration interaction influence coefficient that reflects the effect of acceleration on the internal temperature of the vehicle refrigerator, so that the acceleration interaction influence coefficient conforms to the actual vehicle driving state, and improves the comprehensiveness and accuracy of the acceleration interaction influence coefficient.

[0156] In some embodiments, the bump intensity and the driving speed are analyzed to determine the bump interaction coefficient, referring to the following formula (4):

[0157] (4)

[0158] in, is the turbulence interaction coefficient, is the preset first-order effect coefficient of turbulence, is the bump intensity, is the preset second-order effect coefficient of turbulence, is the third-order effect coefficient of preset speed.

[0159] The preset first-order effect coefficient of bumping may be a coefficient reflecting the direct linear influence of the bumping intensity on the internal temperature of the vehicle refrigerator. The preset first-order effect coefficient of bumping may be obtained by performing a linear regression analysis on the experimental data of the vehicle refrigerator.

[0160] The preset bump second-order effect coefficient may be a coefficient reflecting the nonlinear effect of bump intensity on the internal temperature of the vehicle refrigerator. The preset bump second-order effect coefficient may be obtained by performing a polynomial fitting analysis on the experimental data of the vehicle refrigerator.

[0161] The third-order effect coefficient of the preset speed may be a coefficient reflecting the influence of the driving speed on the bump intensity, and the third-order effect coefficient of the preset speed may be obtained by performing a polynomial fitting analysis on the vehicle driving data.

[0162] Specifically, the impact of vehicle bump intensity on the internal temperature of the car refrigerator also includes linear impact and nonlinear impact. Specifically, when the vehicle is bumped normally, the heat convection between the air inside the car refrigerator and the outside air is enhanced. At this time, the impact of vehicle bump intensity on the internal temperature of the car refrigerator is linear. When the vehicle is bumped violently, the circulation of the refrigeration liquid inside the refrigerator may change, causing nonlinear fluctuations in refrigeration efficiency. At this time, the impact of vehicle bump intensity on the internal temperature of the car refrigerator is nonlinear. Therefore, through formula (4), Describe the linear and nonlinear effects of vehicle bump intensity on the internal temperature of the car refrigerator. At the same time, because the vehicle dynamic effect caused by bumps at high speed is much more serious than that at low speed, The influence of driving speed on the bump intensity is quantified, and then the bump interaction coefficient that can reflect the impact of the bump intensity on the internal temperature of the vehicle refrigerator is obtained through formula (4).

[0163] Through the method provided in this embodiment, mathematical formulas are used to describe the linear and nonlinear effects of bump intensity on the internal temperature of the vehicle refrigerator, and at the same time, the effect of driving speed on the bump intensity is described, so as to quantify the bump interaction influence coefficient that reflects the effect of bump intensity on the internal temperature of the vehicle refrigerator, so that the bump interaction influence coefficient conforms to the actual vehicle driving state, and improves the comprehensiveness and accuracy of the bump interaction influence coefficient.

[0164] In some embodiments, the air humidity inside the vehicle is compared with a preset low frosting humidity range to determine whether the air humidity inside the vehicle exceeds the preset low frosting humidity range; if the air humidity inside the vehicle exceeds the preset low frosting humidity range, the current air humidity difference is determined based on the air humidity inside the vehicle and the preset low frosting humidity range; the target temperature difference is determined based on the current air humidity difference and the basic temperature requirement; the intervention adjustment power is determined based on the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index; and the frosting intervention control strategy is determined based on the intervention adjustment power.

[0165] The preset low frosting humidity range may be an air humidity range that can maintain a low frosting state in the vehicle refrigerator, and the preset low frosting humidity range may be obtained by analyzing experimental data of the vehicle refrigerator.

[0166] The current air humidity difference may be a difference between the air humidity in the vehicle and an upper limit of a preset low frosting humidity range.

[0167] The target temperature difference may be a difference between the current temperature inside the vehicle refrigerator and the allowable rising temperature for maintaining low frost at the current air humidity.

[0168] Specifically, frost in a car refrigerator is mainly caused by excessive humidity in the car. After the air in the car enters the refrigerator, it is affected by the low temperature in the refrigerator and condenses into frost that adheres to the inside of the car refrigerator. When the humidity in the car is too high, it is necessary to increase the temperature in the car refrigerator and reduce the temperature difference between the inside and outside of the car refrigerator to reduce frost in the refrigerator. However, the duration of the process of increasing the temperature in the car refrigerator should be as short as possible to avoid deterioration of items in the refrigerator. The process of increasing the temperature in the car refrigerator should be coordinated with the dehumidification operation of the vehicle air-conditioning system. That is, when the air humidity in the car exceeds the preset low frosting humidity range, the vehicle air-conditioning system is controlled to perform a dehumidification operation. During the dehumidification operation, the control The temperature in the vehicle refrigerator is increased within an allowable range to minimize the amount of frost in the vehicle refrigerator. Therefore, according to the air humidity in the vehicle and the preset low frost humidity range, the difference between the air humidity in the vehicle and the upper limit of the preset low frost humidity range is determined as the current air humidity difference, and according to the current air humidity difference and the basic temperature requirement, the target temperature difference is determined through mathematical analysis, and further mathematical analysis is used to determine the intervention adjustment power required for the current vehicle refrigerator to maintain low frost on the basis of the target temperature difference, the preset refrigeration power influence coefficient and the preset refrigeration power influence index, so as to determine the frost intervention control strategy.

[0169] Through the method provided by this embodiment, when the air humidity in the car will significantly increase the amount of frost inside the car refrigerator, the current air humidity difference is determined according to the air humidity in the car and the preset low frost humidity range, and the target temperature difference is determined according to the previous air humidity difference and the basic temperature requirement. Then, based on the target temperature difference, the preset refrigeration power influence coefficient and the preset refrigeration power influence index, the intervention adjustment power required for the current car refrigerator to maintain low frost is determined, and the frosting intervention control strategy is determined according to the intervention adjustment power, so that the frosting intervention control strategy can maintain low frost in the car refrigerator even when the air humidity in the car is high, thereby reducing the negative impact of frost in the car refrigerator on the preservation of items.

[0170] In some embodiments, the target temperature difference is determined according to the current air humidity difference and the basic temperature requirement, referring to the following formula:

[0171] (5)

[0172] in, is the target temperature difference, is the preset floating scale factor, As the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, To preset the humidity influence coefficient, The current air humidity difference.

[0173] The preset floating proportional factor may be the ratio of the temperature in the vehicle refrigerator that is allowed to rise while maintaining the items in the vehicle refrigerator from deterioration.

[0174] The preset humidity influence coefficient may be a coefficient that expresses the degree of influence of the humidity inside the vehicle on the ambient temperature inside the vehicle.

[0175] Specifically, through formula (5) Describes the temperature value that the car refrigerator is allowed to reach after the temperature rises under the current high humidity condition in the car, and then The effect of humidity inside the car on the internal temperature of the car refrigerator is described, and the inclination interaction coefficient, acceleration interaction coefficient and bump interaction coefficient are combined to accurately quantify the target temperature difference.

[0176] Through the method provided in this embodiment, mathematical formulas are used to quantify the target temperature difference based on the current air humidity difference and the basic temperature requirement, so that the target temperature difference conforms to the actual situation of the current vehicle refrigerator, thereby improving the comprehensiveness and accuracy of the target temperature difference.

[0177] In some embodiments, the intervention adjustment power is determined according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index, referring to the following formula (6):

[0178] (6)

[0179] in, To adjust the power for intervention, is the preset cooling power influence coefficient, is the preset proportional control coefficient, is the target temperature difference, is the preset integral control coefficient, is the preset differential control coefficient, It is the preset cooling power impact index.

[0180] The preset proportional control coefficient may be a coefficient used to control the sensitivity of proportional adjustment, and the preset proportional control coefficient may be obtained by analyzing experimental data of the vehicle refrigerator.

[0181] The preset integral control coefficient may be a coefficient used to reduce the oscillation of the integral process, and the preset integral control coefficient may be obtained by analyzing experimental data of the vehicle refrigerator.

[0182] The preset differential control coefficient may be a coefficient used to reduce the oscillation of the differential process, and the preset integral control coefficient may be obtained by analyzing experimental data of the vehicle refrigerator.

[0183] Specifically, through the proportional control term in formula (6) Quickly determine the impact of target temperature differences on intervention adjustment power through integral control terms Eliminate the steady-state error in the formula and use the differential control term Improve the accuracy of interventional power adjustment, make the interventional power adjustment conform to the actual situation through the above-mentioned proportional-integral-differential mathematical analysis method, and finally combine the preset cooling power influence coefficient and the preset cooling power influence index to quantify the interventional power adjustment.

[0184] Through the method provided in this embodiment, mathematical formulas are used and the proportional-integral-differential mathematical analysis method is used to quantify the intervention adjustment power based on the target temperature difference, the preset refrigeration power influence coefficient and the preset refrigeration power influence index. The intervention adjustment power can accurately reflect the compressor power value required to adjust the vehicle refrigerator to maintain low frost in the current actual high humidity vehicle environment, thereby further reducing the amount of frost inside the vehicle refrigerator.

[0185] In some embodiments, the real-time cooling temperature of the vehicle refrigerator is obtained, and the real-time cooling temperature is compared with the basic temperature requirement to determine whether the real-time cooling temperature reaches the basic temperature requirement; if the real-time cooling temperature reaches the basic temperature requirement, the real-time control strategy is executed; when executing the real-time control strategy, the air humidity in the vehicle is compared with the preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range; if the air humidity in the vehicle exceeds the preset low frosting humidity range, the vehicle air-conditioning system is controlled to dehumidify, and at the same time the frosting intervention control strategy is executed to perform low frosting temperature control on the vehicle refrigerator.

[0186] The real-time refrigeration temperature may be the current refrigeration temperature inside the vehicle refrigerator, and the real-time refrigeration temperature may be obtained through a temperature sensor inside the vehicle refrigerator.

[0187] Specifically, the execution process of the real-time control strategy and the intervention control strategy is to control the power of the vehicle refrigerator compressor through a serial communication protocol bus, such as a CAN bus.

[0188] Through the method provided in this embodiment, the execution conditions of the real-time control strategy are clarified, and the intervention conditions of the frosting intervention control strategy are clarified, so as to improve the control efficiency of the low-frosting temperature control of the vehicle refrigerator, and at the same time improve the stability of the low-frosting temperature control process.

[0189] Figure 3 A schematic diagram of a vehicle refrigerator control system based on vehicle-machine interaction provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the vehicle refrigerator control system 300 based on vehicle-machine interaction of this embodiment includes: a basic analysis module 301 , a real-time strategy determination module 302 , an intervention strategy determination module 303 and a control module 303 .

[0190] A basic analysis module 301 is used to obtain the type of stored items and determine the basic temperature requirement according to the type of stored items;

[0191] A real-time strategy determination module 302 is used to obtain vehicle driving state information, analyze the vehicle driving state, and determine a real-time control strategy based on the basic temperature requirement;

[0192] An intervention strategy determination module 303 is used to obtain in-vehicle environmental parameters, analyze the in-vehicle environmental parameters, and determine a frosting intervention control strategy based on the real-time control strategy;

[0193] The control module 304 is used to perform low-frost temperature control on the vehicle refrigerator according to the basic temperature requirement, the real-time control strategy and the frosting intervention control strategy.

[0194] Optionally, the real-time strategy determination module 302 is specifically configured to:

[0195] Analyzing the changing inclination angle and the driving speed to determine the inclination angle interaction influence coefficient;

[0196] Analyzing the acceleration and the driving speed to determine an acceleration interaction influence coefficient;

[0197] Analyzing the bump intensity and the driving speed to determine a bump interaction coefficient;

[0198] According to the basic temperature requirement, the inclination interaction coefficient, the acceleration interaction coefficient and the turbulence interaction coefficient, the real-time target power is determined with reference to the following formula:

[0199] ;

[0200] in, is the real-time target power, is the preset cooling power influence coefficient, is the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, It is the preset cooling power impact index;

[0201] The real-time target power is determined according to the real-time target power.

[0202] Optionally, the real-time strategy determination module 302 refers to some formulas when analyzing the changing inclination angle and the driving speed to determine the inclination angle interaction influence coefficient:

[0203] ;

[0204] in, is the inclination interaction coefficient, is the first-order effect coefficient of the preset inclination angle, is the changing inclination angle, is the second-order effect coefficient of the preset inclination angle, is the first-order effect coefficient of preset speed, is the driving speed, is the preset speed second-order effect coefficient.

[0205] Optionally, the real-time strategy determination module 302 refers to the following formula when analyzing the acceleration and the driving speed to determine the acceleration interaction influence coefficient:

[0206] ;

[0207] in, is the acceleration interaction coefficient, is the acceleration, is the preset acceleration threshold, is the preset acceleration first-order effect coefficient, is the preset acceleration second-order effect coefficient, is the preset inclination interaction effect coefficient.

[0208] Optionally, the real-time strategy determination module 302 refers to the following formula when analyzing the bump intensity and the driving speed to determine the bump interaction coefficient:

[0209] ;

[0210] in, is the turbulence interaction coefficient, is the preset first-order effect coefficient of turbulence, is the turbulence intensity, is the preset second-order effect coefficient of turbulence, is the third-order effect coefficient of preset speed.

[0211] Optionally, the intervention strategy determination module 303 is specifically configured to:

[0212] Comparing the air humidity in the vehicle with a preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range;

[0213] If the air humidity in the vehicle exceeds the preset low frosting humidity range, determining a current air humidity difference according to the air humidity in the vehicle and the preset low frosting humidity range;

[0214] Determining a target temperature difference according to the current air humidity difference and the basic temperature requirement;

[0215] Determining intervention adjustment power according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index;

[0216] According to the intervention power adjustment, a frosting intervention control strategy is determined.

[0217] Optionally, the intervention strategy determination module 303 refers to the following formula when determining the target temperature difference according to the current air humidity difference and the basic temperature requirement:

[0218] ;

[0219] in, is the target temperature difference, is the preset floating scale factor, is the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, To preset the humidity influence coefficient, is the current air humidity difference.

[0220] Optionally, the intervention strategy determination module 303 refers to the following formula when determining the intervention adjustment power according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index:

[0221] ;

[0222] in, adjusting power for the intervention, is the preset cooling power influence coefficient, is the preset proportional control coefficient, is the target temperature difference, is the preset integral control coefficient, is the preset differential control coefficient, is the preset refrigeration power impact index.

[0223] Optionally, the control module 304 is specifically configured to:

[0224] Acquiring a real-time refrigeration temperature of the vehicle refrigerator, comparing the real-time refrigeration temperature with the basic temperature requirement, and determining whether the real-time refrigeration temperature reaches the basic temperature requirement;

[0225] If the real-time cooling temperature reaches the basic temperature requirement, executing the real-time control strategy;

[0226] When executing the real-time control strategy, the air humidity in the vehicle is compared with the preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range;

[0227] If the air humidity in the vehicle exceeds the preset low frosting humidity range, the vehicle air conditioning system is controlled to perform dehumidification, and at the same time the frosting intervention control strategy is executed to perform low frosting temperature control on the vehicle refrigerator.

[0228] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A vehicle refrigerator control method based on vehicle-computer interaction, characterized in that: include: Acquire the type of stored items, and determine the basic temperature requirement according to the type of stored items; Acquire vehicle driving state information, analyze the vehicle driving state, and determine a real-time control strategy based on the basic temperature requirement; Acquiring in-vehicle environmental parameters, analyzing the in-vehicle environmental parameters, and determining a frosting intervention control strategy based on the real-time control strategy; According to the basic temperature requirement, the real-time control strategy and the frosting intervention control strategy, the vehicle refrigerator is subjected to low frosting temperature control; The vehicle driving state includes a changing inclination angle, a driving speed, an acceleration, and a bump intensity, and the analyzing the vehicle driving state and determining a real-time control strategy based on the basic temperature requirement include: Analyzing the changing inclination angle and the driving speed to determine the inclination angle interaction influence coefficient; Analyzing the acceleration and the driving speed to determine an acceleration interaction influence coefficient; Analyzing the bump intensity and the driving speed to determine a bump interaction coefficient; According to the basic temperature requirement, the inclination interaction coefficient, the acceleration interaction coefficient and the turbulence interaction coefficient, the real-time target power is determined with reference to the following formula: ； in, is the real-time target power, is the preset cooling power influence coefficient, is the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, It is the preset cooling power impact index; Determining the real-time target power according to the real-time target power; The analysis of the changing inclination angle and the driving speed to determine the inclination angle interaction coefficient is performed with reference to the following formula: ； in, is the inclination interaction coefficient, is the first-order effect coefficient of the preset inclination angle, is the changing inclination angle, is the second-order effect coefficient of the preset inclination angle, is the first-order effect coefficient of preset speed, is the driving speed, is the preset speed second-order effect coefficient.

2. The method according to claim 1, characterized in that The acceleration and the driving speed are analyzed to determine the acceleration interaction coefficient, referring to the following formula: ； in, is the acceleration interaction coefficient, is the acceleration, is the preset acceleration threshold, is the preset acceleration first-order effect coefficient, is the preset acceleration second-order effect coefficient, is the preset inclination interaction effect coefficient.

3. The method according to claim 1, characterized in that: The bump intensity and the driving speed are analyzed to determine the bump interaction coefficient, referring to the following formula: ； in, is the turbulence interaction coefficient, is the preset first-order effect coefficient of turbulence, is the turbulence intensity, To preset the second-order effect coefficient of turbulence, is the third-order effect coefficient of preset speed.

4. The method according to claim 1, characterized in that The in-vehicle environmental parameter includes the in-vehicle air humidity, and the analyzing the in-vehicle environmental parameter and determining the frosting intervention control strategy based on the real-time control strategy includes: Comparing the air humidity in the vehicle with a preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range; If the air humidity in the vehicle exceeds the preset low frosting humidity range, determining a current air humidity difference according to the air humidity in the vehicle and the preset low frosting humidity range; Determining a target temperature difference according to the current air humidity difference and the basic temperature requirement; Determining intervention adjustment power according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index; According to the intervention power adjustment, a frosting intervention control strategy is determined.

5. The method according to claim 4, characterized in that The target temperature difference is determined according to the current air humidity difference and the basic temperature requirement, referring to the following formula: ； in, is the target temperature difference, is the preset floating scale factor, is the basic temperature requirement, is the inclination interaction coefficient, is the acceleration interaction coefficient, is the turbulence interaction coefficient, To preset the humidity influence coefficient, is the current air humidity difference.

6. The method according to claim 4, characterized in that The intervention adjustment power is determined according to the target temperature difference, the preset cooling power influence coefficient and the preset cooling power influence index, referring to the following formula: ； in, adjusting power for the intervention, is the preset cooling power influence coefficient, is the preset proportional control coefficient, is the target temperature difference, is the preset integral control coefficient, is the preset differential control coefficient, is the preset refrigeration power impact index.

7. The method according to claim 4, characterized in that According to the basic temperature requirement, the real-time control strategy and the frosting intervention control strategy, the vehicle refrigerator is subjected to low frosting temperature control, including: Acquiring a real-time refrigeration temperature of the vehicle refrigerator, comparing the real-time refrigeration temperature with the basic temperature requirement, and determining whether the real-time refrigeration temperature reaches the basic temperature requirement; If the real-time cooling temperature reaches the basic temperature requirement, executing the real-time control strategy; When executing the real-time control strategy, the air humidity in the vehicle is compared with the preset low frosting humidity range to determine whether the air humidity in the vehicle exceeds the preset low frosting humidity range; If the air humidity in the vehicle exceeds the preset low frosting humidity range, the vehicle air conditioning system is controlled to perform dehumidification, and at the same time the frosting intervention control strategy is executed to perform low frosting temperature control on the vehicle refrigerator.

8. A vehicle refrigerator control system based on vehicle-computer interaction, characterized in that: The method as claimed in any one of claims 1 to 7 comprises: A basic analysis module, used to obtain the type of stored items and determine the basic temperature requirement according to the type of stored items; A real-time strategy determination module, used to obtain vehicle driving state information, analyze the vehicle driving state, and determine a real-time control strategy based on the basic temperature requirement; An intervention strategy determination module, used for acquiring in-vehicle environmental parameters, analyzing the in-vehicle environmental parameters, and determining a frosting intervention control strategy based on the real-time control strategy; The control module is used to perform low-frosting temperature control on the vehicle refrigerator according to the basic temperature requirement, the real-time control strategy and the frosting intervention control strategy.

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