A simulation management system for automotive air conditioning controllers

Abstract

This invention relates to the field of automotive air conditioning control technology, specifically disclosing a simulation management system for an automotive air conditioning controller. The system includes a processing module that obtains a function graph of the temperature regulation coefficient changing over time based on the simulation results of a test command. This graph is then compared with a preset second graph. Based on the comparison results, the system determines whether to adjust the air conditioning controller. The temperature regulation coefficient is calculated based on corresponding parameters affecting human senses. This invention can determine whether a purchased air conditioning controller can control the automotive air conditioning to provide a better driving and riding experience for the driver and passengers during temperature adjustment, thus meeting deeper needs in automotive production and maintenance.

Description

Technical Field

[0001] This invention relates to the field of automotive air conditioning control technology, and more specifically, to a simulation management system for an automotive air conditioning controller. Background Technology

[0002] Vehicle air conditioning simulation can be set with different vehicle condition parameters. By simulating the operation, potential problems with the air conditioning system under the current vehicle condition parameters can be identified in advance. This provides data support for adjusting the controller during production and maintenance. In particular, for manufacturers of controllers, the simulation system can greatly reduce the complicated procedures in adapting to different vehicle models.

[0003] Typically, simulation testing can be used to check whether the various functions of the air conditioning system are normal under current vehicle conditions, such as cooling, heating, and ventilation, as well as to check whether parameters such as pressure and temperature of the air conditioning system are within normal ranges. In other words, the purpose of current automotive air conditioning system simulation testing is to verify whether each functional module meets the requirements after being adapted to a new vehicle, and to provide a basis for modifying parameters of controllers that do not meet the requirements.

[0004] However, some manufacturers and drivers of repaired vehicles have higher requirements for the controller, hoping that the adapted controller can control the car air conditioning to provide a better driving and riding experience for the driver and passengers during the temperature adjustment process. At present, the simulated operation of the car air conditioning system can only be used to verify whether the various functional modules are qualified after being adapted to different vehicles, and cannot meet this further requirement.

[0005] In view of this, the present invention proposes a simulation management system for an automotive air conditioning controller. During the simulated operation of the automotive air conditioning system, the system monitors the changes in parameters such as cooling and heating power and fan speed that affect the driving and riding experience of the driver and passengers, providing data support for the control and modification of these parameters that affect the driving and riding experience of the driver and passengers. Summary of the Invention

[0006] The purpose of this invention is to provide a simulation management system for an automotive air conditioning controller, solving the following technical problems:

[0007] How can we monitor and adjust parameters such as cooling and heating power and fan speed that affect the driving and riding experience of drivers and passengers during the simulated operation of an automotive air conditioning system, thereby providing data support for controlling and modifying parameters that affect the driving and riding experience of drivers and passengers?

[0008] The objective of this invention can be achieved through the following technical solutions:

[0009] A simulation management system for an automotive air conditioning controller, comprising:

[0010] The simulation platform includes a storage module, a display unit, a loading interface, and multiple simulation load units. The loading interface is used to connect the simulation platform to the air conditioning controller. The simulation load units include simulation load devices corresponding to various components of the vehicle controlled by the air conditioning controller. The display unit displays the simulation results.

[0011] The instruction module includes a verification instruction set and a test instruction set. The test instructions are used to simulate the process of the air conditioning controller controlling the current vehicle to adjust and maintain the temperature.

[0012] The storage module is used to store pre-stored data and data generated during the operation of the simulation platform;

[0013] The processing module simulates the connected air conditioner controller on a simulation platform based on the received verification and test commands. Then, it verifies whether the control functions of the air conditioner controller can operate normally under a preset simulation environment based on the simulation results of the verification commands. If all the verification results of the control functions of the air conditioner controller are normal, the processing module obtains a function graph of the temperature regulation coefficient changing over time based on the simulation results of the test commands as a first graph, and compares the first graph with a preset second graph. Based on the comparison results, it determines whether to adjust the air conditioner controller. The temperature regulation coefficient is calculated based on the corresponding parameters that affect human senses.

[0014] The above technical solution provides a simulation platform for an automotive air conditioning controller and its various management modules. Specifically, the invention controls the operation of the simulation platform with the simulated environment set up through the instruction module, and judges whether the air conditioning controller is functioning normally based on the operation results, and whether the air conditioning controller can make the temperature adjustment coefficient of the air conditioning in the current simulated environment meet the requirements under normal conditions. In this way, it can be determined whether the purchased air conditioning controller can control the automotive air conditioning to provide a better driving and riding experience for the driver and passengers during the temperature adjustment process, and meet the deeper needs in the automotive production and maintenance process.

[0015] As a further technical solution of the present invention: the process of obtaining the temperature regulation coefficient includes:

[0016] At any point during the actual operation of the vehicle and the operation of the simulation platform simulating vehicle conditions, the formula is used:

[0017]

[0018] Obtain the temperature control coefficient At, where m is the total number of adjustable parameters affecting human senses during the automotive temperature process, i∈m, σ i X is the weight coefficient corresponding to the i-th adjustable parameter. iX is the specific value of the i-th adjustable parameter at the current moment. s It is a standard value selected from the range of values ​​in which the i-th adjustable parameter in the pre-stored data is comfortable for the human body.

[0019] The above technical solution provides a method for obtaining the temperature regulation coefficient. Specifically, this invention obtains a fixed parameter to represent the driver's feeling by weighted summing of all adjustable parameters that affect the driving experience during the car air conditioning temperature regulation process. On the one hand, this simplifies the reporting and analysis process of the air conditioning controller simulation results, and on the other hand, it can provide a data-driven reflection of the driving experience of the occupants.

[0020] As a further technical solution of the present invention: the step of comparing the first graphic with the preset second graphic includes:

[0021] Through the formula:

[0022]

[0023] Obtain the deviation coefficient Dev, where t1 and t2 are the time start and end points of the first and second graphs, respectively, and f is the function relationship of the first graph corresponding to the currently selected standard value. 0 It is the functional relationship of the second figure corresponding to the currently selected standard value, S is the area of ​​the standard figure preset under the currently selected standard value, N is the number of intersection points of the first and second figures corresponding to the currently selected standard value, and R and r are both transformation functions preset based on experience.

[0024] The deviation coefficient determines whether the air conditioner controller needs adjustment.

[0025] As a further technical solution of the present invention: the process of determining whether to adjust the air conditioner controller based on the deviation coefficient includes:

[0026] The deviation coefficient is compared with the preset comparison interval [D1, D2].

[0027] If the deviation coefficient is lower than the preset comparison range, it is determined that no adjustment is needed to the air conditioner controller;

[0028] If the deviation coefficient falls within the preset comparison range, it is determined that the current air conditioner controller is unstable and a second judgment is required.

[0029] If the deviation coefficient exceeds the preset comparison range, it is determined that the current simulation platform is not suitable for the air conditioner controller.

[0030] The above technical solution provides a process for obtaining the deviation coefficient and a process for determining whether to adjust the air conditioner controller based on the deviation coefficient. Specifically, the present invention obtains the deviation coefficient, which represents the degree of deviation between the two images, by converting and summing the ratio of the area enclosed by the first and second images to the area of ​​the standard image and the number of their intersections. The deviation coefficient allows for a more intuitive judgment of whether the air conditioner simulator is running as expected on the current simulation platform, improving the judgment speed through a WYSIWYG approach.

[0031] As a further technical solution of the present invention: the secondary judgment process includes:

[0032] Set n standard values ​​X within the range of values ​​that make the human body feel comfortable. s Then, through the formula:

[0033]

[0034] Obtain the judgment coefficient Gev, where j∈n, t1 and t2 are the time start and time end points of the first and second figures, respectively, and f j It is the functional relationship of the first graph corresponding to the j-th standard value. S is the functional relationship of the second graph corresponding to the j-th standard value. j It is the area of ​​the standard shape preset under the j-th standard value, N j R is the number of intersection points of the first and second figures corresponding to the j-th standard value, and R and r are also conversion functions preset based on experience.

[0035] A secondary judgment is made based on the judgment coefficient. The results of the secondary judgment include whether the air conditioner controller does not need to be adjusted or whether the current simulation platform is not suitable for the air conditioner controller.

[0036] As a further technical solution of the present invention: the process of performing a secondary judgment based on the judgment coefficient includes:

[0037] like Then it is determined that the current simulation platform is not suitable for the air conditioner controller;

[0038] like It is determined that no adjustment is needed to the air conditioner controller, where δ∈[0,0.3].

[0039] The above technical solution provides a process for obtaining the judgment coefficient and a process for secondary judgment based on the judgment coefficient. Specifically, in the process of judging whether to adjust the air conditioner controller based on the deviation coefficient, there is a fuzzy area that is difficult to judge accurately. Therefore, by adding a secondary judgment method, the air conditioner controller can be judged more accurately, thereby further improving the simulation efficiency and reducing the workload of the controller manufacturer.

[0040] As a further technical solution of the present invention: the simulation platform includes a report generation unit, which records all simulation data through a storage module, generates a data report, and displays it through a display unit.

[0041] As a further technical solution of the present invention: the simulation platform includes a remote communication unit, the input end of the remote communication unit is communicatively connected to the output end of the storage module, and the remote communication unit is communicatively connected to the output end of the report generation unit.

[0042] As a further technical solution of the present invention: the simulation platform includes a fault simulation unit, which simulates different fault environments by controlling the simulated load equipment, so that the air conditioner controller can operate under different simulated fault environments.

[0043] The beneficial effects of this invention are:

[0044] (1) The present invention controls the operation of the simulation platform with the simulation environment set by the instruction module, and judges whether the air conditioner controller is functioning normally and whether the air conditioner controller can make the temperature adjustment coefficient of the air conditioner in the current simulation environment meet the requirements in the temperature adjustment process under normal functioning environment. Thus, it can be judged whether the purchased air conditioner controller can control the car air conditioner to give the driver and passengers a better driving experience in the temperature adjustment process, and meet the deeper needs in the car production and maintenance process.

[0045] (2) This invention obtains a fixed parameter to represent the driver's feeling by weighted summing of all adjustable parameters that affect the driving experience during the car air conditioning temperature adjustment process. On the one hand, it simplifies the reporting and analysis process of the air conditioning controller simulation results, and on the other hand, it can reflect the driving experience of the people in the car in a data-driven way.

[0046] (3) The present invention obtains a deviation coefficient representing the degree of deviation between the two images by converting and summing the ratio of the area enclosed by the first and second images to the area of ​​the standard image and the number of their intersections. The deviation coefficient allows for a more intuitive judgment of whether the air conditioner simulator is running as expected on the current simulation platform, thus improving the judgment speed.

[0047] (4) In the process of determining whether to adjust the air conditioner controller based on the deviation coefficient, there is a fuzzy area that is difficult to judge accurately. Therefore, by adding a second judgment method, the air conditioner controller can be judged more accurately, thereby further improving the simulation efficiency and reducing the workload of the controller manufacturer. Attached Figure Description

[0048] The invention will now be further described with reference to the accompanying drawings.

[0049] Figure 1This is a diagram showing the relationship between the components of the simulation management system of the present invention;

[0050] Figure 2 This is a schematic diagram of the relationship between the constituent units of the simulation platform of this invention;

[0051] Figure 3 This is a schematic diagram of the instruction module composition of the present invention. Detailed Implementation

[0052] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0053] Please see Figures 1-3 As shown, in one embodiment, a simulation management system for an automotive air conditioning controller is provided, including: a simulation platform, such as... Figure 2 As shown, the simulation platform includes a storage module, a display unit, a loading interface, and multiple simulation load units. The loading interface is used to connect the simulation platform to the air conditioning controller. The simulation load units include simulation load devices corresponding to various components of the vehicle controlled by the air conditioning controller. The load simulation devices can modify parameters to simulate different vehicle conditions and include at least a simulated compressor, a simulated fan, and a simulated defroster. The display unit displays the simulation results.

[0054] refer to Figure 3 The instruction module includes a verification instruction set and a test instruction set. The test instructions are used to simulate the process of the air conditioning controller controlling the current vehicle to adjust and maintain the temperature. The verification instruction set is composed of multiple verification instructions, usually a single control instruction, such as controlling the fan speed or the compressor power. Similarly, the test instruction set is composed of multiple test instructions, which are combined instructions under specific conditions. The combined control parameters are all the parts that affect human comfort during the air conditioning start-up process. For example, in new energy vehicles, the test instruction can be a combination of cooling power and fan speed or heating power and fan speed when maintaining and moving towards a balanced temperature. It should be noted that in the winter conditions of fuel vehicles, when maintaining and moving towards a balanced temperature, it is equivalent to adjusting the opening ratio of the hot air vents and cold air vents in the vehicle to adjust the heating power. That is, for fuel vehicles that are heated by the engine, the test instruction is a combination of the opening ratio of the hot air vents and cold air vents and the fan speed.

[0055] The storage module is used to store pre-stored data and data generated during the operation of the simulation platform;

[0056] The processing module simulates the connected air conditioner controller on a simulation platform based on the received verification and test commands. Then, it verifies whether the control functions of the air conditioner controller can operate normally in a preset simulation environment based on the simulation results of the verification commands. The preset simulation environment consists of multiple simulated load units with preset parameters. If all the control functions of the air conditioner controller are verified to be normal, the processing module obtains a function graph of the temperature regulation coefficient changing over time based on the simulation results of the test commands as the first graph. The first graph is compared with a preset second graph, and the air conditioner controller is adjusted based on the comparison results. The temperature regulation coefficient is calculated based on the corresponding parameters that affect human senses.

[0057] This embodiment provides a simulation platform for an automotive air conditioning controller and its various management modules. Specifically, the invention controls the operation of the simulation platform with the simulated environment set up through the instruction module, and judges whether the air conditioning controller is functioning normally based on the operation results, and whether the air conditioning controller can make the temperature adjustment coefficient of the air conditioning in the current simulated environment meet the requirements under normal functioning conditions. In this way, it can be determined whether the purchased air conditioning controller can control the automotive air conditioning to provide a better driving and riding experience for the driver and passengers during the temperature adjustment process, and meet the deeper needs in the automotive production and maintenance process.

[0058] The process of obtaining the temperature regulation coefficient includes:

[0059] At any point during the actual operation of the vehicle and the operation of the simulation platform simulating vehicle conditions, the formula is used:

[0060]

[0061] Obtain the temperature regulation coefficient At, where m is the total number of adjustable parameters affecting human senses during the vehicle's temperature conditions. Adjustable parameters are those that can be adjusted by the air conditioning controller, including but not limited to cooling / heating power and fan speed. If the fan angle is controllable, it should be included in the adjustable parameters. In other words, the more related devices the air conditioning controller controls, the more types of adjustable parameters it can control. Specifically, in gasoline vehicles, the engine's waste heat is used to provide heating; therefore, the temperature regulation coefficient during the heating process of gasoline vehicles is usually only related to the fan speed, i∈m, σ i X is the weight coefficient corresponding to the i-th adjustable parameter. i X is the specific value of the i-th adjustable parameter at the current moment. s It is a standard value selected from the range of values ​​in which the i-th adjustable parameter in the pre-stored data is comfortable for the human body.

[0062] This embodiment provides a method for obtaining the temperature regulation coefficient. Specifically, the present invention obtains a fixed parameter to represent the driver's feeling state by weighted summing of all adjustable parameters that affect the driving experience during the car air conditioning temperature regulation process. On the one hand, this simplifies the reporting and analysis process of the air conditioning controller simulation results, and on the other hand, it can reflect the driving experience of the occupants in the vehicle in a data-driven manner.

[0063] The steps for comparing the first graphic with the preset second graphic include:

[0064] Through the formula:

[0065]

[0066] Obtain the deviation coefficient Dev, where t1 and t2 are the start and end times of the first and second graphs, respectively. The comparison process requires controlling variables; therefore, the start and end times of the first and second graphs are the same. f is the function relationship of the first graph corresponding to the currently selected standard value, which is the function curve of At changing with time t during the simulation platform's operation. 0 It is the functional relationship of the second figure corresponding to the currently selected standard value, and it is the preset functional relationship. S is the area of ​​the preset standard figure under the currently selected standard value, N is the number of intersection points of the first and second figures corresponding to the currently selected standard value, and R and r are both preset transformation functions based on experience, such as lookup table functions, used to unify the comparison scale.

[0067] It should be noted that the selected standard value may be a single number or a combination of numbers, depending on the type of adjustable parameters. In the combination of numbers, any change in the specific value of any single number is considered a new standard value.

[0068] The deviation coefficient determines whether the air conditioner controller needs adjustment.

[0069] The process of determining whether to adjust the air conditioner controller based on the deviation coefficient includes:

[0070] The deviation coefficient is compared with the preset comparison interval [D1, D2], where D1 and D2 are obtained based on empirical data;

[0071] If the deviation coefficient is lower than the preset comparison range, it is determined that no adjustment is needed to the air conditioner controller;

[0072] If the deviation coefficient falls within the preset comparison range, it is determined that the current air conditioner controller is unstable and a second judgment is required.

[0073] Generally, the air conditioning controller purchased by car manufacturers or repair personnel will not differ too much from the condition of the vehicle they want to match. Therefore, if the deviation coefficient exceeds the preset comparison range, it is determined that the current simulation platform is not suitable for the air conditioning controller, and the simulation platform should be replaced or the air conditioning controller should be manually recalibrated.

[0074] This embodiment provides a process for obtaining the deviation coefficient and a process for determining whether to adjust the air conditioner controller based on the deviation coefficient. Specifically, the present invention obtains the deviation coefficient, which represents the degree of deviation between the two images, by converting and summing the ratio of the area enclosed by the first and second images to the area of ​​the standard image and the number of their intersections. The deviation coefficient allows for a more intuitive judgment of whether the air conditioner simulator is running as expected on the current simulation platform, improving the judgment speed through a WYSIWYG approach.

[0075] It should be noted that, due to the rated power characteristics of electrical equipment, a smaller deviation coefficient under simulation means that the current air conditioning controller can consistently maintain a suitable temperature regulation coefficient, which also means that the controller has a large adjustment range and a high degree of adaptability. Conversely, when the deviation coefficient is large, the current air conditioning controller cannot maintain a suitable temperature regulation coefficient, and therefore the air conditioning controller reaches its control limit under the current simulation environment. Thus, it can be judged that the degree of adaptability is low and can only meet general needs.

[0076] The process of secondary judgment includes:

[0077] Set n standard values ​​X within the range of values ​​that make the human body feel comfortable. s Then, through the formula:

[0078]

[0079] Obtain the judgment coefficient Gev, where j∈n, t1 and t2 are the time start and time end points of the first and second figures, respectively, and f j It represents the functional relationship of the first graph corresponding to the j-th standard value, which is the function curve of At changing with time t during the simulation platform operation. S is the functional relationship of the second graph corresponding to the j-th standard value. j It is the area of ​​the standard shape preset under the j-th standard value, N j R is the number of intersection points of the first and second figures corresponding to the j-th standard value. R and r are also conversion functions preset based on experience, such as lookup table functions.

[0080] A secondary judgment is made based on the judgment coefficient. The results of the secondary judgment include whether the air conditioner controller does not need to be adjusted or whether the current simulation platform is not suitable for the air conditioner controller.

[0081] The process of making a secondary judgment based on the judgment coefficient includes:

[0082] like Then it is determined that the current simulation platform is not suitable for the air conditioner controller;

[0083] like It is determined that no adjustment is needed to the air conditioner controller, where δ∈[0,0.3], and δ is obtained by statistical analysis of historical data from simulation results and actual conditions.

[0084] This embodiment provides the process of obtaining the judgment coefficient and the process of making a secondary judgment based on the judgment coefficient. Specifically, in the process of judging whether to adjust the air conditioner controller based on the deviation coefficient, there is a fuzzy area that is difficult to judge accurately. Therefore, by adding a secondary judgment method, the air conditioner controller can be judged more accurately, thereby further improving the simulation efficiency and reducing the workload of the controller manufacturer.

[0085] The simulation platform includes a report generation unit, which records all simulation data through a storage module, generates data reports, and displays them through a display unit to help users analyze simulation results and optimize the design of air conditioning controllers.

[0086] The simulation platform includes a remote communication unit. The input end of the remote communication unit is connected to the output end of the storage module, and the output end of the remote communication unit is connected to the output end of the report generation unit. It can transmit the simulation process data and the generated data report to the air conditioner controller manufacturer through remote communication means such as wireless network, so as to facilitate the manufacturer's commissioning personnel to connect and verify.

[0087] The simulation platform includes a fault simulation unit, which simulates different fault environments by controlling simulated load equipment, so that the air conditioning controller can operate under different simulated fault environments to test the fault identification and fault handling capabilities of the air conditioning controller.

[0088] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. An analog management system for an automotive air conditioning controller, characterized by, include: The simulation platform includes a display unit, a loading interface, and multiple simulation load units. The loading interface is used to connect the simulation platform to the air conditioning controller. The simulation load units include simulation load devices corresponding to various components of the vehicle controlled by the air conditioning controller. The display unit displays the simulation results. The instruction module includes a verification instruction set and a test instruction set. The test instructions are used to simulate the process of the air conditioning controller controlling the current vehicle to adjust and maintain the temperature. The storage module is used to store pre-stored data and data generated during the operation of the simulation platform; The processing module simulates the connected air conditioner controller on a simulation platform based on the received verification and test commands. Then, it verifies whether the control functions of the air conditioner controller can operate normally in a preset simulation environment based on the simulation results of the verification commands. If all the control functions of the air conditioner controller are verified to be normal, the processing module obtains a function graph of the temperature regulation coefficient changing over time as a first graph based on the simulation results of the test commands. The first graph is compared with a preset second graph, and the air conditioner controller is adjusted based on the comparison results. The temperature regulation coefficient is calculated based on the corresponding parameters that affect human senses. The process of obtaining the temperature regulation coefficient includes: At any point during the actual operation of the vehicle and the operation of the simulation platform simulating vehicle conditions, the formula is used: Obtaining a temperature modulation coefficient wherein is the total number of adjustable parameters affecting the human senses during the car temperature condition process, , is the weight coefficient corresponding to the adjustable parameter, is the specific value of the adjustable parameter at the current time, is a standard value of the adjustable parameter selected from the value range in which the human body feels comfortable in the pre-stored data; The steps for comparing the first graphic with the preset second graphic include: Through the formula: Obtaining deviation coefficient wherein, are a time start point and a time end point of the first graph and the second graph respectively, is a function relation of the first graph corresponding to the currently selected standard value, is a function relation of the second graph corresponding to the currently selected standard value, is a preset standard graph area under the currently selected standard value, is a number of intersection points of the first graph and the second graph corresponding to the currently selected standard value, ; The deviation coefficient determines whether the air conditioner controller needs adjustment.

2. The analog management system for an automotive air conditioning controller according to claim 1, characterized in that, The process of determining whether to adjust the air conditioner controller based on the deviation coefficient includes: Compare the deviation coefficient with the preset comparison range Compare; If the deviation coefficient is lower than the preset comparison range, it is determined that no adjustment is needed to the air conditioner controller; If the deviation coefficient falls within the preset comparison range, it is determined that the current air conditioner controller is unstable and a second judgment is required. If the deviation coefficient exceeds the preset comparison range, it is determined that the current simulation platform is not suitable for the air conditioner controller.

3. The analog management system for an automotive air conditioning controller according to claim 2, characterized in that, The process of the second judgment includes: Set within the range of values ​​that make the human body feel comfortable. Standard values Then, through the formula: Obtain the judgment coefficient , These are the start and end points of time for the first and second figures, respectively. It is the first The functional relationship of the first graph corresponding to each standard value. It is the first The functional relationship of the second graph corresponding to each standard value. It is the first The area of ​​a pre-defined standard shape under a certain standard value. It is the first The number of intersections between the first and second figures corresponding to each standard value. and All are transformation functions pre-set based on experience; A secondary judgment is made based on the judgment coefficient. The results of the secondary judgment include whether the air conditioner controller does not need to be adjusted or whether the current simulation platform is not suitable for the air conditioner controller.

4. The analog management system for an automotive air conditioning controller according to claim 3, characterized in that, The process of making a secondary judgment based on the judgment coefficient includes: like Then it is determined that the current simulation platform is not suitable for the air conditioner controller; like If so, it is determined that no adjustment is needed to the air conditioner controller. .

5. The analog management system for an automotive air conditioning controller according to claim 1, characterized in that, The simulation platform includes a report generation unit, which records all simulation data through a storage module, generates a data report, and displays it through a display unit.

6. The analog management system for an automotive air conditioning controller according to claim 5, characterized in that, The simulation platform includes a remote communication unit, the input of which is communicatively connected to the output of the storage module, and the output of the report generation unit is communicatively connected to the remote communication unit.

7. The analog management system for an automotive air conditioning controller according to claim 1, characterized in that, The simulation platform includes a fault simulation unit, which simulates different fault environments by controlling the simulated load equipment, so that the air conditioning controller can operate under the simulated different fault environments.

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