Fault processing method and device for vehicle-mounted air conditioner, storage medium and electronic equipment

Abstract

The invention discloses a fault processing method and device for a vehicle-mounted air conditioner, a storage medium and electronic equipment. The method comprises the steps that in response to the fact that an evaporator temperature sensor of a vehicle-mounted air conditioner of a target vehicle breaks down, the in-vehicle temperature and the out-vehicle temperature of the target vehicle and the rotating speed parameter of an electric compressor are obtained; inputting the in-vehicle temperature, the out-vehicle temperature and the rotation speed parameter into an evaporator temperature prediction model to obtain the real output temperature of the target evaporator; and controlling the output temperature of the target evaporator to be adjusted to a preset temperature threshold value by utilizing the real output temperature. The technical problem that due to the fact that the evaporator temperature sensor breaks down, the real evaporator temperature cannot be obtained, and the performance of the vehicle-mounted air conditioner is too poor is solved.

Description

Technical Field

[0001] This application relates to the field of computers, and more specifically, to a method and apparatus for troubleshooting vehicle air conditioning, a storage medium, and electronic equipment. Background Technology

[0002] Currently, in related technologies, when the evaporator temperature sensor of a vehicle air conditioner malfunctions, the electric compressor of the vehicle air conditioner is usually shut off directly to achieve the purpose of safety control. However, this method will undoubtedly lead to a decrease in passenger comfort, that is, the temperature inside the vehicle cannot be adjusted and controlled in a timely manner. In summary, there is a technical problem in related technologies where the evaporator temperature sensor malfunctions and cannot obtain the true evaporator temperature, resulting in poor performance of the vehicle air conditioner.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a method and apparatus for troubleshooting vehicle air conditioners, a storage medium, and an electronic device to at least solve the technical problem that the vehicle air conditioner's performance is poor due to the inability to obtain the true evaporator temperature caused by a malfunctioning evaporator temperature sensor.

[0005] According to one aspect of the embodiments of this application, a fault handling method for an in-vehicle air conditioner is provided, comprising: in response to a fault in the evaporator temperature sensor of the in-vehicle air conditioner of a target vehicle, acquiring the interior temperature, exterior temperature, and rotational speed parameters of the electric compressor of the target vehicle, wherein the evaporator temperature sensor is used to detect the output temperature of the target evaporator, and the in-vehicle air conditioner includes the target evaporator and the electric compressor; inputting the interior temperature, exterior temperature, and rotational speed parameters into an evaporator temperature prediction model to obtain the actual output temperature of the target evaporator, wherein the model parameters of the evaporator temperature prediction model are obtained by fitting sample interior temperature, sample exterior temperature, sample rotational speed parameters, and sample evaporator output temperature corresponding to multiple historical time points; and using the actual output temperature to control the output temperature of the target evaporator to be adjusted to a preset temperature threshold.

[0006] According to another aspect of the embodiments of this application, a fault handling device for an in-vehicle air conditioner is also provided, comprising: an acquisition module, configured to acquire the interior temperature, exterior temperature, and rotational speed parameters of the electric compressor of the target vehicle in response to a fault in the evaporator temperature sensor of the in-vehicle air conditioner of the target vehicle, wherein the evaporator temperature sensor is used to detect the output temperature of the target evaporator, and the in-vehicle air conditioner includes the target evaporator and the electric compressor; a determination module, configured to input the interior temperature, exterior temperature, and rotational speed parameters into an evaporator temperature prediction model to obtain the true output temperature of the target evaporator, wherein the model parameters of the evaporator temperature prediction model are obtained by fitting sample interior temperature, sample exterior temperature, sample rotational speed parameters, and sample evaporator output temperature corresponding to multiple historical time points; and a control module, configured to control the output temperature of the target evaporator to adjust to a preset temperature threshold using the true output temperature.

[0007] Optionally, the device is further configured to: input the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature corresponding to the plurality of historical time points into an initial evaporator temperature prediction model to obtain a plurality of predicted output temperature change rates, wherein one of the plurality of predicted output temperature change rates corresponds to one of the plurality of historical time points, and the sample evaporator output temperature represents the temperature detected when the evaporator temperature sensor is not faulty; perform calculations based on the sample evaporator output temperatures corresponding to the plurality of historical time points to obtain a plurality of calculated output temperature change rates; and perform parameter estimation using the plurality of predicted output temperature change rates and the plurality of calculated output temperature change rates to obtain target model parameters, wherein the model parameters of the evaporator temperature prediction model are the target model parameters, and the target model parameters represent the model parameters with the smallest sum of errors between the predicted output temperature change rates and the calculated output temperature change rates corresponding to each historical time point.

[0008] Optionally, the device is used to input the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature corresponding to the plurality of historical time points into an initial evaporator temperature prediction model in the following manner to obtain a plurality of predicted output temperature change rates: perform feature extraction operations on the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature corresponding to the plurality of historical time points to determine a plurality of feature vectors; convert the plurality of feature vectors into matrix form and input them as independent variables of the objective function to obtain the plurality of predicted output temperature change rates.

[0009] Optionally, the device is further configured to: acquire the flow gain of the electric compressor supplying refrigerant to the target evaporator, a first heat transfer coefficient between the internal air and the refrigerant of the target evaporator, a second heat transfer coefficient between the external air and the refrigerant of the target evaporator, the mass and specific heat capacity of the refrigerant in the target evaporator, and the inlet heat transfer area and outlet heat transfer area of ​​the target evaporator; determine a first heat parameter absorbed by the target evaporator from the external air based on the flow gain, the first heat transfer coefficient, the inlet heat transfer area, the sample rotation speed parameter, and the sample vehicle outside temperature; determine a second heat parameter dissipated by the target evaporator to the external air based on the second heat transfer coefficient, the outlet heat transfer area, the sample evaporator output temperature, and the sample vehicle outside temperature; and determine the difference between the first heat parameter and the second heat parameter as the product of the mass and specific heat capacity of the refrigerant and the predicted output temperature change rate.

[0010] Optionally, the device is used to obtain target model parameters by using the plurality of predicted output temperature change rates and the plurality of measured output temperature change rates for parameter estimation in the following manner: by using the plurality of predicted output temperature change rates and the plurality of measured output temperature change rates for parameter estimation through the least squares method to obtain the target model parameters, wherein, under the target model parameters, the sum of squared errors between the predicted output temperature change rates and the measured output temperature change rates corresponding to each historical time point is minimized.

[0011] Optionally, the device is configured to, in response to a malfunction of the evaporator temperature sensor of the vehicle's air conditioning system, acquire the vehicle's interior temperature, exterior temperature, and electric compressor rotation speed parameters in the following manner: in response to a malfunction of the evaporator temperature sensor of the vehicle's air conditioning system, determine whether the control mode of the vehicle's air conditioning system is a single evaporator mode; if the control mode of the vehicle's air conditioning system is determined to be the single evaporator mode, adjust the acquisition mode of the target evaporator's output temperature from acquisition from the evaporator temperature sensor to determination by the evaporator temperature prediction model; and acquire the vehicle's interior temperature, exterior temperature, and electric compressor rotation speed parameters.

[0012] Optionally, the device is further configured to: control the blower output air volume of the vehicle air conditioner to adjust to a preset fixed air volume; stop acquiring the temperature adjustment interactive operation of the vehicle air conditioner and display a target prompt message, wherein the target prompt message is used to indicate that the evaporator temperature sensor has malfunctioned.

[0013] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, wherein a computer program is stored in the computer program, and the computer program is configured to execute the above-described fault handling method for vehicle air conditioning when it is run.

[0014] According to another aspect of the embodiments of this application, a computer program product or computer program is provided, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the fault handling method for a vehicle air conditioner as described above.

[0015] According to another aspect of the embodiments of this application, an electronic device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the above-described vehicle air conditioner fault handling method through the computer program.

[0016] In this embodiment, in response to a malfunction of the evaporator temperature sensor of the vehicle's air conditioning system, the system acquires the vehicle's interior temperature, exterior temperature, and electric compressor rotation speed parameters. The evaporator temperature sensor detects the output temperature of the target evaporator. The vehicle air conditioning system includes the target evaporator and an electric compressor. The interior temperature, exterior temperature, and rotation speed parameters are input into an evaporator temperature prediction model to obtain the true output temperature of the target evaporator. The model parameters of the evaporator temperature prediction model are obtained by fitting sample interior temperatures, sample exterior temperatures, sample rotation speed parameters, and sample evaporator output temperatures corresponding to multiple historical time points. By using the true output temperature to control the output temperature of the target evaporator to adjust to a preset temperature threshold, the system can determine the true evaporator temperature through the evaporator temperature prediction model even when the evaporator temperature sensor malfunctions. This improves the overall comfort of the vehicle air conditioning system and enhances its fault tolerance performance. Furthermore, it solves the technical problem of poor vehicle air conditioning performance caused by the inability to obtain the true evaporator temperature due to evaporator temperature sensor malfunction. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a schematic diagram of the application environment for an optional vehicle air conditioning fault handling method according to an embodiment of this application;

[0019] Figure 2This is a flowchart illustrating an optional vehicle air conditioner fault handling method according to an embodiment of this application.

[0020] Figure 3 This is a schematic diagram of an optional vehicle air conditioner fault handling method according to an embodiment of this application;

[0021] Figure 4 This is a schematic diagram of another optional vehicle air conditioner fault handling method according to an embodiment of this application;

[0022] Figure 5 This is a schematic diagram of another optional vehicle air conditioner fault handling method according to an embodiment of this application;

[0023] Figure 6 This is a schematic diagram of the structure of an optional vehicle air conditioner fault handling device according to an embodiment of this application;

[0024] Figure 7 This is a schematic diagram of the structure of an optional vehicle air conditioning fault handling product according to an embodiment of this application;

[0025] Figure 8 This is a schematic diagram of the structure of an optional electronic device according to an embodiment of this application. Detailed Implementation

[0026] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] The present application will be described below with reference to embodiments:

[0029] According to one aspect of the embodiments of this application, a fault handling method for a vehicle air conditioner is provided. Optionally, in this embodiment, the above-mentioned fault handling method for a vehicle air conditioner can be applied to, for example... Figure 1 The hardware environment shown consists of server 101 and terminal device 103. For example... Figure 1 As shown, server 101 is connected to terminal device 103 via a network and can be used to provide services to terminal device or application 107 installed on terminal device. The application can be video application, instant messaging application, browser application, educational application, game application, etc. Database 105 can be set up on the server or independently of the server to provide data storage services for server 101, such as a game data storage server. The network mentioned above can include, but is not limited to, wired networks and wireless networks. The wired network includes local area networks, metropolitan area networks, and wide area networks. The wireless network includes Bluetooth, WIFI, and other networks that enable wireless communication. Terminal device 103 can be a terminal configured with an application, and can include, but is not limited to, at least one of the following: mobile phones (such as Android phones, iOS phones, etc.), laptops, tablets, handheld computers, MID (Mobile Internet Devices), PADs, desktop computers, smart TVs, smart voice interaction devices, smart home appliances, vehicle terminals, aircraft, virtual reality (VR) terminals, augmented reality (AR) terminals, mixed reality (MR) terminals, and other computer devices. The server mentioned above can be a single server, a server cluster composed of multiple servers, or a cloud server.

[0030] Combination Figure 1 As shown, the above-mentioned fault handling method for vehicle air conditioning can be executed by an electronic device, which can be a terminal device or a server. The above-mentioned fault handling method for vehicle air conditioning can be implemented by the terminal device or the server respectively, or by the terminal device and the server together.

[0031] The above is merely an example, and this embodiment does not impose any specific limitations.

[0032] Alternatively, as an alternative implementation method, such as Figure 2 As shown, the troubleshooting methods for the above-mentioned vehicle air conditioning system include:

[0033] S202, in response to a malfunction of the evaporator temperature sensor of the vehicle's air conditioning system, the vehicle's interior temperature, exterior temperature, and electric compressor rotation speed parameters are acquired. The evaporator temperature sensor is used to detect the output temperature of the target evaporator. The vehicle air conditioning system includes the target evaporator and the electric compressor.

[0034] Optionally, in this application embodiment, the target vehicle may include, but is not limited to, automobiles, trucks, etc. The vehicle air conditioner refers to an air conditioning system installed inside the target vehicle for regulating the temperature and humidity inside the vehicle. It may be composed of, but is not limited to, the electric compressor, condenser, target evaporator, and control panel, etc. The evaporator temperature sensor is used to obtain the temperature of the evaporator of the vehicle air conditioner. The interior temperature of the target vehicle refers to the temperature of the air inside the target vehicle, and the exterior temperature refers to the temperature of the environment around the vehicle.

[0035] For example, Figure 3 This is a schematic diagram of an optional vehicle air conditioner fault handling method according to an embodiment of this application. The vehicle air conditioner may include, but is not limited to, the following: Figure 3 As shown, it includes an electric compressor, condenser, target evaporator, evaporator temperature sensor, battery direct cooling heat exchanger, pressure sensor, condenser fan, etc.

[0036] S204. Input the vehicle interior temperature, vehicle exterior temperature, and rotation speed parameters into the evaporator temperature prediction model to obtain the actual output temperature of the target evaporator. The model parameters of the evaporator temperature prediction model are obtained by fitting the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameters, and sample evaporator output temperature corresponding to multiple historical time points.

[0037] Optionally, in the embodiments of this application, the above-mentioned evaporator temperature prediction model may include, but is not limited to, the following: Where, m c C represents the mass of refrigerant in the target evaporator. c T represents the specific heat capacity of the refrigerant in the target evaporator. c This represents the actual output temperature mentioned above, while This represents the rate of change of evaporator temperature over time. This indicates the heat transferred from the passenger compartment of the target vehicle to the aforementioned target evaporator. This refers to the heat released by the target evaporator to the environment in which the target vehicle is located; however, this application does not impose any limitations on this.

[0038] For example, during the refrigerant evaporation process, heat is absorbed from the interior air of the target vehicle. Simultaneously, heat transfer is also affected by the refrigerant flow rate, which is positively correlated with the compressor speed. The effect of compressor speed on flow rate can be set as a gain accumulation term K. Therefore, the above evaporator temperature prediction model can be further simplified to obtain a simplified evaporator temperature prediction model, specifically:

[0039] S1, It can be represented as: Among them, h in A represents the heat exchange between the target evaporator and the air inside the passenger compartment of the target vehicle. in It is the heat transfer area, T in N is the temperature of the air inside the target vehicle, N is the actual speed of the compressor, and K is the flow gain of the electric compressor in transporting refrigerant.

[0040] S2, It can be represented as: Among them, h out A represents the heat exchange between the target evaporator and the air in the environment where the target vehicle is located. out It is the heat transfer area, T out It is the temperature of the air outside the car;

[0041] S3, which combines the above S1 and S2. By combining the results and substituting them into the evaporator temperature prediction model, we obtain... After simplifying the formula, the evaporator temperature prediction model is expressed as follows:

[0042] Furthermore, the model parameters of the above-mentioned evaporator temperature prediction model are A, B, C, D, and k. These model parameters can be determined by fitting the above-mentioned sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameters, and sample evaporator output temperature. Specifically, this includes, but is not limited to, using the least squares method to identify the model parameters and obtain the specific values ​​of the above-mentioned model parameters.

[0043] Understandably, the aforementioned historical time points can be flexibly set. For example, several in-vehicle temperatures obtained within the past year can be used as the sample in-vehicle temperatures. Similarly, several out-of-vehicle temperatures obtained within the past year can be used as the sample out-of-vehicle temperatures.

[0044] S206, use the actual output temperature as the output temperature of the target evaporator to control the output temperature of the target evaporator to be adjusted to a preset temperature threshold.

[0045] Optionally, in the embodiments of this application, the above-mentioned preset temperature threshold can be flexibly set, and this application does not impose any limitations on it.

[0046] For example, during normal operation of the vehicle air conditioner, if the evaporator temperature sensor does not malfunction, the output temperature of the target evaporator can be directly detected by the evaporator temperature sensor; conversely, if the evaporator temperature sensor malfunctions, that is, the temperature of the target evaporator detected by the evaporator temperature sensor is inaccurate, then in this case, the true output temperature can be obtained by using the evaporator temperature prediction model as described in the embodiments of this application, and then the output temperature of the target evaporator can be determined as the true output temperature. The electric compressor performs closed-loop temperature control on the output temperature of the target evaporator, so that the output temperature of the target evaporator is adjusted to the preset temperature threshold.

[0047] In one exemplary embodiment, the vehicle air conditioning fault handling method proposed in this application may include, but is not limited to, the following: Figure 4 As shown:

[0048] S402: Determine whether the evaporator temperature sensor of the vehicle air conditioner is faulty (including short ground, short power or open circuit fault, etc.) based on the voltage value of the evaporator temperature sensor of the vehicle air conditioner. If yes, execute S404; otherwise, execute S412.

[0049] S404, Obtain the air conditioning thermal management control mode. If the air conditioning thermal management control mode is single evaporation control mode, execute S406; if the air conditioning thermal management control mode is dual evaporation control mode or single battery control mode, execute S408.

[0050] S406, The actual evaporator temperature is switched from being obtained from the sensor to being obtained based on the evaporator temperature prediction model;

[0051] S408, the electric compressor switches to pressure control to control the pressure at the outlet of the battery direct cooling plate;

[0052] S410, the blower airflow is set to a fixed airflow, and the driver will not be able to adjust the airflow, indicating a malfunction in the air conditioning system;

[0053] S412, End.

[0054] Through the application embodiments, in response to a malfunction of the evaporator temperature sensor of the vehicle's air conditioning system, the system acquires parameters such as the vehicle's interior temperature, exterior temperature, and electric compressor rotation speed. The evaporator temperature sensor detects the output temperature of the target evaporator, and the vehicle air conditioning system includes the target evaporator and the electric compressor. The interior temperature, exterior temperature, and rotation speed parameters are input into an evaporator temperature prediction model to obtain the true output temperature of the target evaporator. The model parameters of the evaporator temperature prediction model are obtained by fitting sample interior temperatures, sample exterior temperatures, sample rotation speed parameters, and sample evaporator output temperatures corresponding to multiple historical time points. The true output temperature is used as the output temperature of the target evaporator to control its output temperature to adjust to a preset temperature threshold. This achieves the technical effect of determining the true evaporator temperature through the evaporator temperature prediction model even when the evaporator temperature sensor malfunctions, thereby improving the overall comfort of the vehicle air conditioning system and its fault handling tolerance. Furthermore, it solves the technical problem of poor vehicle air conditioning performance caused by the inability to obtain the true evaporator temperature due to evaporator temperature sensor malfunction.

[0055] As an optional approach, the method further includes: inputting the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameters, and sample evaporator output temperature corresponding to the multiple historical time points into an initial evaporator temperature prediction model to obtain multiple predicted output temperature change rates, wherein one of the multiple predicted output temperature change rates corresponds to one of the multiple historical time points, and the sample evaporator output temperature represents the temperature detected when the evaporator temperature sensor is not malfunctioning; calculating multiple calculated output temperature change rates based on the sample evaporator output temperatures corresponding to the multiple historical time points; and using the multiple predicted output temperature change rates and the multiple calculated output temperature change rates to perform parameter estimation to obtain target model parameters, wherein the model parameters of the evaporator temperature prediction model are the target model parameters, and the target model parameters represent the model parameters with the smallest sum of errors between the predicted output temperature change rates and the calculated output temperature change rates corresponding to each historical time point.

[0056] Optionally, in the embodiments of this application, the aforementioned initial evaporator temperature prediction model refers to the aforementioned evaporator temperature prediction model whose model parameters have not yet been determined. This may include, but is not limited to, using the least squares method to identify the model parameters and determine the specific values ​​of the model parameters in order to obtain the evaporator temperature prediction model.

[0057] For example, when the evaporator temperature sensor is not malfunctioning, the evaporator output temperature of each of the aforementioned historical time points is collected, and the interior temperature, exterior temperature, and rotation speed parameters of the sample vehicle corresponding to these historical time points can be directly obtained. Specifically:

[0058] The above-mentioned sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameters, and sample evaporator output temperature are input into the initial evaporator temperature prediction model to obtain multiple predicted output temperature change rates. These multiple predicted output temperature change rates correspond to the above-mentioned historical time points. For example, the initial evaporator temperature prediction model is expressed as follows:

[0059]

[0060] make Therefore, the initial evaporator temperature prediction model becomes:

[0061]

[0062] Assuming there are n time points, the above-mentioned sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature can be expressed as: {T c (t i ),T in (t i ),T out (t i ),N(t i )}i=1,2……n, further, including but not limited to obtaining the above-calculated output temperature change rate through numerical methods such as the finite difference method:

[0063] The calculated output temperature change rate represents the difference in output temperature of the target evaporator at two adjacent historical time points.

[0064] Therefore, solving for the above model parameters is transformed into a linear regression problem of the following form: y = Xθ:

[0065]

[0066] It should be noted that the above model parameters are represented as θ, and further, the predicted output temperature change rate is represented as y = x * θ.

[0067] For example, based on the above-mentioned multiple predicted output temperature change rates y and multiple calculated output temperature change rates Parameter estimation is performed, including but not limited to obtaining the target model parameters using the least squares method. The model parameters that minimize the sum of errors between the predicted output temperature change rate and the calculated output temperature change rate are then used as the target model parameters. For example, when α = 1, β = 2, γ = 3, and δ = 4, the sum of errors between the predicted output temperature change rate and the calculated output temperature change rate is minimized. Then, the above... The target model parameters (A, B, C, D, k) are determined, and the above evaporator temperature prediction model is obtained.

[0068] As an optional approach, the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature corresponding to the above-mentioned multiple historical time points are input into the initial evaporator temperature prediction model to obtain multiple predicted output temperature change rates. This includes: performing feature extraction operations on the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature corresponding to the above-mentioned multiple historical time points to determine multiple feature vectors; converting the above-mentioned multiple feature vectors into matrix form and inputting them as independent variables of the objective function to obtain the above-mentioned multiple predicted output temperature change rates.

[0069] Optionally, in the embodiments of this application, the above feature extraction operation can be understood as follows: assuming the least squares method is used to determine the target model parameters, in other words, its purpose is to determine the parameter vector θ such that the sum of squared errors between the predicted output temperature change rate and the measured output temperature change rate is minimized. The above objective function can be understood as the cost function, i.e., minimizing the sum of squared errors, which can be expressed as: Where, x i This is the feature vector of the i-th observation obtained through the feature extraction operation described above. Furthermore, converting it into matrix form yields:

[0070]

[0071] Furthermore, when J(θ) reaches its minimum value, the predicted output temperature change rate is y. i .

[0072] As an optional approach, the method further includes: obtaining the flow gain of the electric compressor supplying refrigerant to the target evaporator, a first heat transfer coefficient between the internal air and the refrigerant of the target evaporator, a second heat transfer coefficient between the external air and the refrigerant of the target evaporator, the mass and specific heat capacity of the refrigerant in the target evaporator, and the inlet heat transfer area and outlet heat transfer area of ​​the target evaporator; determining a first heat parameter absorbed by the target evaporator from the external air based on the flow gain, the first heat transfer coefficient, the inlet heat transfer area, the sample rotation speed parameter, and the sample vehicle outside temperature; determining a second heat parameter dissipated by the target evaporator to the external air based on the second heat transfer coefficient, the outlet heat transfer area, the sample evaporator output temperature, and the sample vehicle outside temperature; and determining the difference between the first heat parameter and the second heat parameter as the product of the mass and specific heat capacity of the refrigerant and the predicted output temperature change rate.

[0073] For example, suppose the evaporator temperature prediction model is expressed as Where k represents the aforementioned flow gain, h in h represents the first heat parameter mentioned above. out This represents the second heat parameter mentioned above, m. c C represents the mass of the refrigerant mentioned above. c A represents the specific heat capacity of the above refrigerant. in A represents the heat transfer area at the inlet end of the aforementioned target evaporator. out This indicates the heat transfer area at the outlet end of the aforementioned target evaporator.

[0074] Furthermore, the aforementioned first thermal parameter refers to the heat that the target evaporator needs to absorb from the air inside the target vehicle, and the aforementioned second thermal parameter refers to the heat of the target evaporator itself after absorbing the air inside the target vehicle. In this case, the aforementioned first thermal parameter is expressed as... The second heat parameter mentioned above is expressed as: Represented as:

[0075] As an optional approach, parameter estimation is performed using the aforementioned multiple predicted output temperature change rates and multiple calculated output temperature change rates to obtain target model parameters. This includes: using the aforementioned multiple predicted output temperature change rates and multiple calculated output temperature change rates to perform parameter estimation using the least squares method to obtain the aforementioned target model parameters. Among these, under the aforementioned target model parameters, the sum of squared errors between the aforementioned predicted output temperature change rates and the aforementioned calculated output temperature change rates corresponding to the aforementioned historical time points is minimized.

[0076] In an exemplary embodiment, an objective function is established using the aforementioned multiple predicted output temperature change rates and multiple calculated output temperature change rates. The minimum value of the objective function is then obtained by using the least squares method. In this process, the sum of squared errors between the predicted output temperature change rate and the calculated output temperature change rate at each historical time point is minimized. That is, the optimal parameter combination is found so that the fitting effect of the objective model parameters is the best, thereby improving the accuracy and predictive ability of the evaporator temperature prediction model.

[0077] As an optional solution, in response to a malfunction of the evaporator temperature sensor of the target vehicle's onboard air conditioning, the following steps are taken to obtain the vehicle's interior temperature, exterior temperature, and electric compressor rotation speed parameters: In response to the malfunction of the evaporator temperature sensor of the target vehicle's onboard air conditioning, determining whether the control mode of the onboard air conditioning is a single evaporator mode; if the control mode of the onboard air conditioning is determined to be the single evaporator mode, adjusting the acquisition mode of the target evaporator's output temperature from acquisition from the evaporator temperature sensor to determination by the evaporator temperature prediction model; and acquiring the interior temperature, exterior temperature, and electric compressor rotation speed parameters.

[0078] Optionally, in the embodiments of this application, the above-mentioned single evaporator mode can be understood as the electric compressor regulating the operation of the vehicle air conditioner only by controlling the temperature.

[0079] For example, if the vehicle's air conditioning control mode is a single evaporator mode, that is, only one target evaporator is used to cool the air, and the evaporator temperature sensor malfunctions and cannot accurately obtain the evaporator's output temperature, then the evaporator's output temperature can be determined by using an evaporator temperature prediction model.

[0080] As an optional solution, the above method further includes: controlling the blower output air volume of the vehicle air conditioner to adjust to a preset fixed air volume; stopping the acquisition of the temperature adjustment interactive operation of the vehicle air conditioner and displaying a target prompt message, wherein the target prompt message is used to indicate that the evaporator temperature sensor has malfunctioned.

[0081] Optionally, in the embodiments of this application, the above-mentioned temperature adjustment interactive operation may include, but is not limited to, touch operation implemented on a touch screen, or touch operation performed by input devices such as a mouse, keyboard, or stylus. The above-mentioned target prompt message may include, but is not limited to, text, images, voice, video, etc. The above-mentioned preset fixed air volume is an air volume that is preset by the user, and this application does not limit it.

[0082] For example, when the air volume of the vehicle's air conditioner is adjusted to a preset fixed air volume, the user's operation to adjust the air conditioning temperature is stopped, and a prompt message is displayed to inform the user that the evaporator temperature sensor in the air conditioning system has malfunctioned. For example, when the driver tries to adjust the temperature setting of the vehicle's air conditioner, the system may automatically adjust the air volume to a preset fixed air volume and display a message prompting "Evaporator temperature sensor malfunction, please check the air conditioning system".

[0083] In an exemplary embodiment, the fault handling method for vehicle air conditioning proposed in this application can be applied to an automotive electronic air conditioning control system, specifically:

[0084] Since the current thermal management system relies on the compressor's closed-loop control of the evaporator temperature to achieve the passenger cabin cooling function, if the evaporator temperature sensor fails, the signal source will be distorted. The post-fault handling strategy in this scenario will directly affect the cooling comfort of the passenger cabin. When the evaporator temperature sensor in a vehicle's thermal management control system malfunctions (mainly including short-ground, short-power, and open-circuit faults), current solutions in related technologies involve directly shutting down the compressor to alert the driver to the malfunction and require repair. While this approach alerts the driver to the air conditioning system malfunction, it affects the cooling control of the passenger compartment, sacrificing passenger comfort at high temperatures and causing driver complaints. Furthermore, it can impact battery cooling if needed. To optimize comfort and address the after-sales service for such malfunctions, this application, based on the analysis of the evaporator temperature heat transfer physical model (the aforementioned evaporator temperature prediction model), establishes a differential equation mathematical model of the evaporator heat transfer process. By identifying the model parameters using the least squares method, the evaporator temperature is estimated, enabling a replacement for the evaporator temperature sensor malfunction mode. The system then categorizes and processes the malfunction according to the system control mode, using malfunction-mode cooling and a fixed medium-range blower airflow to achieve the effect of normal passenger compartment cooling while alerting the driver to the malfunction. This improves the overall comfort of the air conditioning system and enhances the fault tolerance of the air conditioning thermal management system.

[0085] Specifically, the air conditioning thermal management control mode is determined according to the needs of the vehicle air conditioning system. In the dual-evaporation control mode or single-battery control mode, if the temperature sensor of the evaporator fails, the Cabin valve (in-cabin valve) is closed, and the electric compressor continues to control the battery cooling. In the single-evaporation control mode, if the temperature sensor of the evaporator fails, the output temperature of the evaporator is determined according to the differential equation of the evaporator heat transfer model. The electric compressor performs closed-loop temperature control based on this, and the Cabin valve (in-cabin valve) does not need to be closed.

[0086] For example, a mathematical model of the temperature change of the evaporator in an automotive air conditioning system is established using a differential equation. According to the law of conservation of energy, the evaporator in an automotive air conditioning system is a heat exchanger through which heat from the air is transferred to the refrigerant (usually Freon gas), causing the temperature inside the evaporator to decrease. The following energy balance equation describes the temperature change of the evaporator:

[0087]

[0088] in:

[0089] m c It refers to the mass of the refrigerant in the evaporator.

[0090] C c It is the specific heat capacity of the refrigerant.

[0091] T c This is the actual evaporator temperature output.

[0092] It is the rate of change of evaporator temperature over time.

[0093] This indicates the heat transferred from the passenger compartment of the target vehicle to the aforementioned target evaporator.

[0094] This indicates the amount of heat released by the target evaporator into the environment where the target vehicle is located.

[0095] During the refrigerant evaporation process, heat is absorbed from the air inside the car. Simultaneously, heat transfer is also affected by the refrigerant flow rate (the flow rate of refrigerant (such as Freon, ammonia, carbon dioxide, etc.) through the system per unit time). The flow rate is positively correlated with the compressor speed. To simplify the model, the effect of compressor speed on flow rate is set as a gain accumulation term K, which can be represented by the following equation:

[0096]

[0097] Among them, h in A represents the heat exchange between the target evaporator and the air inside the passenger compartment of the target vehicle. in It is the heat transfer area, T in N is the temperature of the air inside the car, N is the actual speed of the electric compressor, and k is the flow gain of the electric compressor in transporting refrigerant.

[0098] On the other hand, during the process of the evaporator transferring cooling energy to the car's interior, heat is transferred from the refrigerant to the air inside the car, which can be represented by the following equation:

[0099]

[0100] Among them, h out A represents the heat exchange between the target evaporator and the air in the environment where the target vehicle is located. out It is the heat transfer area, T out It is the temperature of the air outside the car.

[0101] Furthermore, combining the above equations, we obtain a mathematical model of differential equations describing the temperature change in the evaporator:

[0102]

[0103] The formula can be simplified to Among them, T c T represents the actual evaporator temperature output. in T out N and N are the inputs for the vehicle interior temperature, the actual exterior temperature, and the actual speed of the electric compressor, respectively. Therefore, for the differential equation mathematical model, only five parameters (A, B, C, D, and k) need to be determined for the evaporator heat transfer temperature model. The least squares method is used to identify the model parameters.

[0104] Specifically, the differential equation is as follows:

[0105] make Therefore, the above equation becomes: The constructed differential equation contains the following input and output variables: {T c (t i ),T in (t i ),T out (t i ),N(t i )}i=1,2,,n, calculated using the numerical method finite difference method

[0106]

[0107] Therefore, we obtain the following form of linear regression problem:

[0108] y = Xθ;

[0109] in:

[0110]

[0111] For example, in the least squares method, the objective is to determine the parameter vector θ such that the sum of squared errors between the predicted value Xθ and the actual observed value y is minimized. The objective function can be expressed as:

[0112]

[0113] Where, x i Let be the feature vector of the i-th observation. To simplify the calculation, the objective function is transformed into matrix form: J(θ)=(y-Xθ) T (y-Xθ), then, expand the objective function:

[0114] J(θ=(y T -θ T X T (y-Xθ);

[0115] J(θ=y T yy T Xθ-θ T X T y+θ T X T Xθ;

[0116] To find θ that minimizes the objective function, we need to differentiate J(θ) and set the derivative to zero. First, calculate the gradient: Set the derivative to zero to find the minimum: -2X T y+2X T Xθ = 0; simplify and solve the above equation:

[0117] X T Xθ=X T y;

[0118] Therefore, the final result of optimizing the solution for the parameters to be identified is:

[0119] θ=(X T X) -1 X T y;

[0120] In one exemplary embodiment, Figure 5 This is a schematic diagram of another optional fault handling method for vehicle air conditioning according to an embodiment of this application. The specific calculation process is as follows: Figure 5 As shown.

[0121] It is understood that in the specific embodiments of this application, data such as user information are involved. When the above embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0122] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0123] According to another aspect of the embodiments of this application, a fault handling device for a vehicle air conditioner is also provided for implementing the above-described fault handling method for a vehicle air conditioner. For example... Figure 6 As shown, the device includes:

[0124] The acquisition module 602 is used to acquire the interior temperature, exterior temperature and rotational speed parameters of the electric compressor of the target vehicle in response to a malfunction of the evaporator temperature sensor of the vehicle air conditioner. The evaporator temperature sensor is used to detect the output temperature of the target evaporator. The vehicle air conditioner includes the target evaporator and the electric compressor.

[0125] The determination module 604 is used to input the vehicle interior temperature, vehicle exterior temperature and rotation speed parameters into the evaporator temperature prediction model to obtain the actual output temperature of the target evaporator. The model parameters of the evaporator temperature prediction model are obtained by fitting the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameters and sample evaporator output temperature corresponding to multiple historical time points.

[0126] The control module 606 is used to use the actual output temperature as the output temperature of the target evaporator, so as to control the output temperature of the target evaporator to be adjusted to a preset temperature threshold.

[0127] As an optional solution, the above-mentioned device is further configured to: input the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature corresponding to the multiple historical time points into an initial evaporator temperature prediction model to obtain multiple predicted output temperature change rates, wherein one of the multiple predicted output temperature change rates corresponds to one of the multiple historical time points, and the sample evaporator output temperature represents the temperature detected when the evaporator temperature sensor is not malfunctioning; calculate based on the sample evaporator output temperature corresponding to the multiple historical time points to obtain multiple calculated output temperature change rates; and perform parameter estimation using the multiple predicted output temperature change rates and the multiple calculated output temperature change rates to obtain target model parameters, wherein the model parameters of the evaporator temperature prediction model are the target model parameters, and the target model parameters represent the model parameters with the smallest sum of errors between the predicted output temperature change rates and the calculated output temperature change rates corresponding to each historical time point.

[0128] As an optional approach, the aforementioned device is used to input the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature corresponding to the aforementioned multiple historical time points into an initial evaporator temperature prediction model to obtain multiple predicted output temperature change rates: Perform feature extraction operations on the sample vehicle interior temperature, sample vehicle exterior temperature, sample rotation speed parameter, and sample evaporator output temperature corresponding to the aforementioned multiple historical time points to determine multiple feature vectors; convert the aforementioned multiple feature vectors into matrix form and input them as independent variables of the objective function to obtain the aforementioned multiple predicted output temperature change rates.

[0129] As an optional embodiment, the above-mentioned device is further configured to: obtain the flow gain of the electric compressor supplying refrigerant to the target evaporator, the first heat transfer coefficient between the internal air and the refrigerant of the target evaporator, the second heat transfer coefficient between the external air and the refrigerant of the target evaporator, the mass and specific heat capacity of the refrigerant in the target evaporator, and the inlet heat transfer area and outlet heat transfer area of ​​the target evaporator; determine the first heat parameter absorbed by the target evaporator from the external air based on the flow gain, the first heat transfer coefficient, the inlet heat transfer area, the sample rotation speed parameter, and the sample vehicle outside temperature; determine the second heat parameter dissipated by the target evaporator to the external air based on the second heat transfer coefficient, the outlet heat transfer area, the sample evaporator output temperature, and the sample vehicle outside temperature; and determine the difference between the first heat parameter and the second heat parameter by multiplying the mass and specific heat capacity of the refrigerant by the predicted output temperature change rate.

[0130] As an optional solution, the above-mentioned device is used to estimate parameters using the multiple predicted output temperature change rates and multiple measured output temperature change rates in the following manner to obtain target model parameters: the multiple predicted output temperature change rates and multiple measured output temperature change rates are used to estimate parameters using the least squares method to obtain the target model parameters, wherein, under the target model parameters, the sum of squared errors between the predicted output temperature change rates and the measured output temperature change rates corresponding to each historical time point is minimized.

[0131] As an optional solution, the above-mentioned device is used to obtain the vehicle interior temperature, vehicle exterior temperature, and electric compressor rotation speed parameters of the target vehicle in response to a malfunction of the evaporator temperature sensor of the vehicle's air conditioning system in the following manner: in response to a malfunction of the evaporator temperature sensor of the target vehicle's air conditioning system, determining whether the control mode of the vehicle's air conditioning system is a single evaporator mode; if it is determined that the control mode of the vehicle's air conditioning system is the single evaporator mode, adjusting the acquisition mode of the target evaporator's output temperature from acquisition from the evaporator temperature sensor to determination by the evaporator temperature prediction model; and acquiring the vehicle interior temperature, the vehicle exterior temperature, and the electric compressor rotation speed parameters.

[0132] As an optional solution, the above-mentioned device is also used to: control the blower output air volume of the vehicle air conditioner to adjust to a preset fixed air volume; stop acquiring the temperature adjustment interactive operation of the vehicle air conditioner, and display a target prompt message, wherein the target prompt message is used to indicate that the evaporator temperature sensor has malfunctioned.

[0133] In this application embodiment, the terms "module" or "unit" refer to a computer program or part of a computer program that has a predetermined function and works with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.

[0134] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0135] According to one aspect of this application, a computer program product is provided, the computer program product comprising a computer program.

[0136] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0137] Figure 7 A schematic block diagram of a computer system architecture for implementing an electronic device according to embodiments of the present application is shown.

[0138] It should be noted that, Figure 7 The computer system 700 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0139] like Figure 7As shown, the computer system 700 includes a central processing unit (CPU) 701, which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) 702 or programs loaded from storage section 708 into random access memory (RAM) 703. The RAM 703 also stores various programs and data required for system operation. The CPU 701, ROM 702, and RAM 703 are interconnected via a bus 704. An input / output interface 705 (I / O interface) is also connected to the bus 704.

[0140] The following components are connected to the input / output interface 705: an input section 706 including a keyboard, mouse, etc.; an output section 707 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a local area network card, modem, etc. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the input / output interface 705 as needed. A removable medium 711, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 710 as needed so that computer programs read from it can be installed into the storage section 708 as needed.

[0141] Specifically, according to embodiments of this application, the processes described in the various method flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 709, and / or installed from removable medium 711. When the computer program is executed by central processing unit 701, it performs various functions defined in the system of this application.

[0142] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 709, and / or installed from the removable medium 711. When the computer program is executed by the central processing unit 701, it performs various functions provided in the embodiments of this application.

[0143] According to another aspect of the embodiments of this application, an electronic device for implementing the above-described fault handling method for vehicle air conditioning is also provided. This electronic device may be... Figure 1 The terminal device or server shown. This embodiment uses this electronic device as an example for illustration. Figure 8 As shown, the electronic device includes a memory 802 and a processor 804. The memory 802 stores a computer program, and the processor 804 is configured to execute the steps in any of the above method embodiments via the computer program.

[0144] Optionally, in this embodiment, the aforementioned electronic device may be located in at least one of a plurality of network devices in a computer network.

[0145] Optionally, in this embodiment, the processor may be configured to execute the methods in the embodiments of this application via a computer program.

[0146] Alternatively, as those skilled in the art will understand, Figure 8 The structure shown is for illustrative purposes only. Figure 8 This does not limit the structure of the aforementioned electronic devices. For example, the electronic device may also include components that are more... Figure 8 The more or fewer components shown (such as network interfaces, etc.), or having the same Figure 8 The different configurations shown.

[0147] The memory 802 can be used to store software programs and modules, such as the program instructions / modules corresponding to the vehicle air conditioner fault handling method and device in this embodiment. The processor 804 executes various functional applications and data processing by running the software programs and modules stored in the memory 802, thereby realizing the aforementioned vehicle air conditioner fault handling method. The memory 802 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 802 may further include memory remotely located relative to the processor 804, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. Specifically, the memory 802 may be used, but is not limited to, to store information such as evaporator temperature prediction models. As an example, such as... Figure 8 As shown, the memory 802 may include, but is not limited to, the acquisition module 602, the determination module 604, and the control module 606 in the vehicle air conditioner fault handling device. Furthermore, it may include, but is not limited to, other module units in the vehicle air conditioner fault handling device, which will not be described in detail in this example.

[0148] Optionally, the transmission device 806 described above is used to receive or send data via a network. Specific examples of the network described above may include wired networks and wireless networks. In one example, the transmission device 806 includes a Network Interface Controller (NIC), which can be connected to other network devices and a router via a network cable to communicate with the Internet or a local area network. In another example, the transmission device 806 is a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0149] In addition, the aforementioned electronic device also includes: a display 808 for displaying the aforementioned evaporator temperature prediction model; and a connection bus 810 for connecting the various module components in the aforementioned electronic device.

[0150] In other embodiments, the aforementioned terminal device or server can be a node in a distributed system, wherein the distributed system can be a blockchain system, which is a distributed system formed by connecting multiple nodes through network communication. The nodes can form a peer-to-peer network, and any form of computing device, such as a server, terminal, or other electronic device, can become a node in the blockchain system by joining this peer-to-peer network.

[0151] According to one aspect of this application, a computer-readable storage medium is provided, wherein a processor of an electronic device reads computer instructions from the computer-readable storage medium, and executes the computer instructions, causing the electronic device to perform the vehicle air conditioner fault handling method provided in the various alternative implementations of the above-described vehicle air conditioner fault handling aspect.

[0152] Optionally, in this embodiment, the computer-readable storage medium described above may be configured to store methods for performing the embodiments of this application.

[0153] Optionally, in this embodiment, those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a computer-readable storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0154] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0155] If the integrated units in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in the aforementioned computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause one or more electronic devices to execute all or part of the steps of the methods described in the various embodiments of this application.

[0156] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0157] In the several embodiments provided in this application, it should be understood that the disclosed application can be implemented in other ways. The device embodiments described above are merely illustrative; for example, 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 displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0158] 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.

[0159] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0160] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A failure processing method of a vehicle air conditioner, characterized by comprising: The method comprises: In response to a failure of an evaporator temperature sensor of a vehicle-mounted air conditioner of a target vehicle, obtaining an indoor temperature, an outdoor temperature and a rotating speed parameter of an electric compressor of the target vehicle, wherein the evaporator temperature sensor is used to detect an output temperature of a target evaporator, and the vehicle-mounted air conditioner comprises the target evaporator and the electric compressor; inputting the indoor temperature, the outdoor temperature and the rotating speed parameter into an evaporator temperature prediction model to obtain an actual output temperature of the target evaporator, wherein model parameters of the evaporator temperature prediction model are fitted by sample indoor temperatures, sample outdoor temperatures, sample rotating speed parameters and sample evaporator output temperatures corresponding to a plurality of historical time points; controlling the output temperature of the target evaporator to adjust to a preset temperature threshold value by using the actual output temperature.

2. The method of claim 1, wherein, The method further comprises: inputting the sample indoor temperatures, the sample outdoor temperatures, the sample rotating speed parameters and the sample evaporator output temperatures corresponding to the plurality of historical time points into an initial evaporator temperature prediction model to obtain a plurality of predicted output temperature change rates, wherein one predicted output temperature change rate of the plurality of predicted output temperature change rates corresponds to one historical time point of the plurality of historical time points, and the sample evaporator output temperature represents a temperature detected when the evaporator temperature sensor does not fail; calculating a plurality of calculated output temperature change rates based on the sample evaporator output temperatures corresponding to the plurality of historical time points; performing parameter estimation by using the plurality of predicted output temperature change rates and the plurality of calculated output temperature change rates to obtain target model parameters, wherein the model parameters of the evaporator temperature prediction model are the target model parameters, and the target model parameters represent model parameters with minimum errors between the predicted output temperature change rates and the calculated output temperature change rates corresponding to each historical time point.

3. The method of claim 2, wherein, The method further comprises: performing a feature extraction operation on the sample indoor temperatures, the sample outdoor temperatures, the sample rotating speed parameters and the sample evaporator output temperatures corresponding to the plurality of historical time points to determine a plurality of feature vectors; converting the plurality of feature vectors into a matrix form and inputting the matrix form as an independent variable of an objective function into the objective function to obtain the plurality of predicted output temperature change rates.

4. The method of claim 3, wherein, The method further comprises: obtaining a flow gain of the electric compressor conveying refrigerant to the target evaporator, a first heat transfer coefficient between internal air of the target evaporator and the refrigerant, a second heat transfer coefficient between external air of the target evaporator and the refrigerant, mass and specific heat capacity of the refrigerant in the target evaporator, and heat transfer areas of an air inlet end and an air outlet end of the target evaporator; determining a first heat parameter of the target evaporator absorbed from the external air according to the flow gain, the first heat transfer coefficient, the heat transfer area at the inlet end, the sample rotation speed parameter, and the sample external temperature of the vehicle; determining a second heat parameter of the target evaporator dissipated to the external air according to the second heat transfer coefficient, the heat transfer area at the outlet end, the sample evaporator output temperature, and the sample external temperature of the vehicle; determining a product of the mass and specific heat capacity of the refrigerant and the predicted output temperature change rate as a difference between the first heat parameter and the second heat parameter.

5. The method of claim 2, wherein, The parameter estimation using the plurality of predicted output temperature change rates and the plurality of calculated output temperature change rates includes: The parameter estimation using the plurality of predicted output temperature change rates and the plurality of calculated output temperature change rates by least square method to obtain the target model parameter, wherein the error square sum between the predicted output temperature change rate and the calculated output temperature change rate corresponding to each historical time point is minimum under the target model parameter.

6. The method of claim 1, wherein, The method further includes: determining whether the control mode of the vehicle-mounted air conditioner is a single evaporator mode in response to the evaporator temperature sensor of the vehicle-mounted air conditioner of the target vehicle being faulty; adjusting the output temperature of the target evaporator from being obtained from the evaporator temperature sensor to being determined by the evaporator temperature prediction model in a case where the control mode of the vehicle-mounted air conditioner is determined to be the single evaporator mode; obtaining the indoor temperature, the outdoor temperature, and the rotation speed parameter of the electric compressor.

7. The method according to any one of claims 1 to 6, characterized in that, The method further includes: controlling the air volume output of the air blower of the vehicle-mounted air conditioner to be adjusted to a preset fixed air volume; stopping obtaining the temperature adjustment interaction operation of the vehicle-mounted air conditioner, and displaying a target prompt message, wherein the target prompt message is used to indicate that the evaporator temperature sensor is faulty.

8. A failure processing device for a vehicle air conditioner, characterized by comprising: The method further includes: an obtaining module, configured to obtain an indoor temperature, an outdoor temperature, and a rotation speed parameter of an electric compressor of a target vehicle in response to an evaporator temperature sensor of a vehicle-mounted air conditioner of the target vehicle being faulty, wherein the evaporator temperature sensor is used to detect an output temperature of a target evaporator, and the vehicle-mounted air conditioner includes the target evaporator and the electric compressor; a determining module, configured to input the indoor temperature, the outdoor temperature, and the rotation speed parameter into an evaporator temperature prediction model to obtain an actual output temperature of the target evaporator, wherein model parameters of the evaporator temperature prediction model are fitted from sample indoor temperatures, sample outdoor temperatures, sample rotation speed parameters, and sample evaporator output temperatures corresponding to a plurality of historical time points; a control module, configured to control the output temperature of the target evaporator to be adjusted to a preset temperature threshold value by using the actual output temperature.

9. A computer readable storage medium, characterized in that, The computer readable storage medium includes a stored computer program, wherein the computer program is executable by the electronic device to perform the method of any one of claims 1-7.

10. A computer program product comprising a computer program, characterized in that, The computer program, when executed by the processor, implements the steps of the method of any one of claims 1-7.

11. An electronic device comprising a memory and a processor, characterized in that The memory stores a computer program, and the processor is configured to execute the method of any one of claims 1-7 by using the computer program.

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