A method and system for reverse development of HVAC system control in a complete vehicle state

Abstract

The present invention relates to a reverse development method and system for HVAC system control in a whole vehicle state, the method comprising establishing a whole vehicle thermal management system database; screening competing vehicle models of the development vehicle model in the whole vehicle thermal management system database; establishing a relationship between parameters when the thermal management system is working in all working conditions and when only the HVAC system is working; determining an optimal corresponding relationship; substituting expected in-vehicle noise data values ​​when the automobile thermal management system is working in all working conditions into the whole vehicle thermal management system database, the whole vehicle thermal management system database will obtain the HVAC system noise data values ​​based on the above-mentioned corresponding relationship and reversely infer, and finally adjust the control strategy through the HVAC system noise data values; the HVAC system control strategy developed by the reverse inference method of the present invention can effectively reduce the later actual vehicle tuning and optimization work, improve the project development efficiency, and reduce user complaints.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile noise reduction control, and relates to a reverse development method and system for HVAC system control in a complete vehicle state. Background Art

[0002] The working noise of the car HVAC system is the main source of noise inside the car, which has a great impact on the noise inside the car and affects the ride comfort of the whole car. In order to ensure the ride comfort and reduce the noise inside the car, it is necessary to control the working noise of the car HVAC system. HVAC: Heating, Ventilation and Air Conditioning, is defined as the system responsible for heating, ventilation and air conditioning in the car, which is the air conditioning box assembly in the car air conditioning system. The blower is an important part of this assembly.

[0003] The existing technology for the development of noise and vibration performance control of HVAC systems of new energy vehicles is usually based on strong benchmarking, that is, through noise and vibration testing of competing vehicles, and exploring their control strategies through test data analysis, and exploring their layout through disassembly analysis of the entire vehicle. In the project development stage, the layout and control strategy of the HVAC system of competing vehicles are directly borrowed. The disadvantage of this method is that due to the differences in the layout environment of the components in the whole vehicle and the differences in the performance of the components themselves, the actual vehicle test results are often significantly different from the expected results, and do not meet the vehicle goals. The actual vehicle often needs to be optimized in many ways to meet the engineering goals. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the above-mentioned problems existing in the prior art and provide a method and system for reverse development of HVAC system control in a complete vehicle state.

[0005] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0006] In order to solve the above technical problems, the present invention is implemented by adopting the following technical solutions:

[0007] A method for reverse development of HVAC system control in a complete vehicle state includes the following steps:

[0008] S1. Establish a vehicle thermal management system database;

[0009] S2. Select the competitive vehicle models of the developed vehicle model in the vehicle thermal management system database;

[0010] S3. The vehicle interior noise value variable under all working conditions of the vehicle thermal management system is regarded as the dependent variable, and the working gear, blower speed, cooling fan speed, compressor speed, and water pump speed are regarded as independent variables. The linear mathematical model quantitative relationship between the variables is established as follows:

[0011] P1=γ1+α1D+β1W+θ1U+σ1C+μ1Y+ε1

[0012] Where: P1-in-vehicle noise data value; D-working gear; W-blower speed; U-cooling fan speed; C-compressor speed; Y-water pump speed;

[0013] γ1-constant; α1, β1, θ1, σ1, μ1-corresponding independent variable coefficients; ε1-error term;

[0014] S4. When only the HVAC system is working, the linear mathematical model quantitative relationship between the vehicle interior noise data value, working gear, and blower working speed is established as follows:

[0015] P2=γ2+α2D+β2W+ε2

[0016] Where: P2-in-vehicle noise data value; D-working gear; W-blower speed;

[0017] γ2-constant when only the HVAC system is working; α2, β2-coefficients of the corresponding independent variables; ε2-error term when only the HVAC system is working;

[0018] S5. Use the least squares method to find the coefficients γ1, α1, β1, θ1, σ1, μ1, ε1, γ2, α2, β2, ε2, and calculate the objective function to determine the corresponding relationship:

[0019] P3=P2-P1

[0020] P3 is a newly constructed function curve of five variables, namely D-working gear; W-blower speed; U-cooling fan speed; C-compressor speed; and Y-water pump speed, based on P1 and P2.

[0021] "Operating the objective function" refers to operating P1 and P2.

[0022] It is a prior art to use the least squares method to calculate the coefficients γ1, α1, β1, θ1, σ1, μ1, ε1, γ2, α2, β2, and ε2.

[0023] The least squares method is a commonly used method in statistics and regression analysis. Its goal is to minimize the residual sum of squares of all observations. In the process of solving P1 and P2, γ1 and γ2 are intercepts, α1, β1, θ1, σ1, μ1, ε1, α2, β2, ε2 are slopes, and the core of the least squares method is to select these parameters (γ1, α1, β1, θ1, σ1, μ1, ε1) so that the residual sum of squares of all observations is minimized.

[0024] S6. Substitute the expected in-vehicle noise data values ​​when the automobile thermal management system is working in all working conditions into the vehicle thermal management system database. The vehicle thermal management system database will obtain the HVAC system noise data values ​​based on the above-mentioned corresponding relationship and reversely infer them. Finally, all control strategies of the HVAC system noise are adjusted according to the noise data values.

[0025] Furthermore, a method for reverse development of HVAC system control in a complete vehicle state further includes:

[0026] Organize subjective evaluation and scoring of the HVAC system: the number of evaluators for subjective evaluation and scoring should be at least 10, including personnel from different business fields, and at least 4 evaluators should be professionals with vibration and noise evaluation qualifications or personnel who have received relevant training. If the subjective score does not reach 8 points, further optimization is required; 1 to 5 points are generally considered unacceptable; 6 to 10 points are generally considered acceptable.

[0027] Furthermore, the establishment of the vehicle thermal management system database in S1 is based on a large amount of project development experience accumulation, benchmarking analysis of project competing vehicles, and industry communication and reference methods. The working gears, in-vehicle noise data values ​​and blower speeds of the new energy vehicle thermal management system under all working conditions and when only the HVAC system is working are sorted out and summarized in detail to form a database.

[0028] Furthermore, the vehicle thermal management system database in S2 automatically fits the multi-dimensional functional relationship of all parameters in all selected competitive models.

[0029] Furthermore, there are multiple variables when the automotive thermal management system is working in all working conditions and when only the HVAC system is working, including working gear, in-vehicle noise data value and blower speed. Among the related variables, one variable is regarded as the dependent variable, and the other multiple variables are regarded as independent variables. A quantitative relationship of a linear mathematical model between the multiple variables is established, and a statistical analysis method of analyzing sample data is used to establish an objective function equation.

[0030] Furthermore, the expected in-vehicle noise data values ​​for all operating conditions of the automotive thermal management system in the S6 are obtained based on vehicle grade positioning, cost and project experience accumulation, and expert discussions in actual projects.

[0031] A reverse development system for HVAC system control in a complete vehicle state, comprising:

[0032] Establish a database module to establish the vehicle thermal management system database;

[0033] A screening module is used to screen competing vehicle models of the development model in the vehicle thermal management system database;

[0034] Establish an objective function module to establish the relationship between the parameters when the thermal management system is working in all working conditions and when only the HAVC system is working;

[0035] The reverse inference module is used for the vehicle thermal management system database to reversely obtain the HVAC system noise data value based on the corresponding relationship, and finally adjust its control strategy through the HVAC system noise data value.

[0036] Furthermore, a reverse development system for HVAC system control in a complete vehicle state also includes: a subjective evaluation module for organizing subjective evaluation and scoring of the HVAC system.

[0037] An apparatus comprising one or more processors;

[0038] A memory for storing one or more programs;

[0039] When the one or more programs are executed by the one or more processors, the one or more processors implement the method as described above.

[0040] A computer-readable storage medium stores a computer program, which implements the method described above when executed by a processor.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The HVAC system control strategy developed by the reverse deduction method in the present invention can effectively reduce the subsequent actual vehicle tuning and optimization work, improve the project development efficiency, and reduce user complaints. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The present invention will be further described below in conjunction with the accompanying drawings:

[0044] Figure 1 This is a schematic diagram of the vehicle thermal management system database;

[0045] Figure 2 To develop a flowchart for reverse engineering;

[0046] Figure 3 It is a graph describing the subjective evaluation level;

[0047] Figure 4A schematic diagram of the expected in-vehicle noise data values ​​when the thermal management system is working in a certain working condition;

[0048] Figure 5 Schematic diagram for filtering competing cars in the database;

[0049] Figure 6 A multi-dimensional functional relationship diagram when working for an HVAC system. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical scheme and advantages of the implementation of the present invention clearer, the technical scheme in the embodiment of the present invention will be described in more detail below in conjunction with the drawings in the embodiment of the present invention. In the drawings, the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The described embodiments are part of the embodiments of the present invention, not all of the embodiments. The embodiments described below with reference to the drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limitations on the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. The embodiments of the present invention are described in detail below in conjunction with the drawings.

[0051] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the scope of protection of the present invention.

[0052] The present invention is described in detail below in conjunction with the accompanying drawings:

[0053] The reverse method proposed in the present invention establishes a corresponding objective function based on the vehicle thermal management system database, and uses the objective function to find the relationship between the optimal parameters of the thermal management system when all working conditions are working and when only the HVAC system is working. Assuming a set of expected in-vehicle noise data values ​​when the vehicle thermal management system is working in all working conditions, and substituting the data values ​​into the database, the database reversely infers the noise values ​​of the HVAC system when each working gear is working based on the corresponding relationship, and adjusts its control strategy through the noise value, thereby obtaining the HVAC system control strategy under the vehicle state.

[0054] See also Figure 2 The present invention provides an embodiment, a method for reverse development of HVAC system control in a complete vehicle state, and the specific process is as follows:

[0055] 1. See Figure 1 , establish a vehicle thermal management system database. The establishment of this database is based on a large amount of project development experience accumulation, project competitive vehicle benchmarking analysis and industry communication and reference. The working gear, in-vehicle noise data value and blower speed of the new energy vehicle thermal management system under all working conditions and only the HVAC system are working are summarized and summarized to form a database.

[0056] 2. Select the competing vehicle models of the developed vehicle from the vehicle thermal management system database. The vehicle thermal management system database automatically fits the multi-dimensional functional relationship of all parameters in all selected competing vehicle models.

[0057] 3. For example, when the thermal management system of a new energy vehicle is working in all working conditions and when only the HVAC system is working, there are multiple variables, namely, working gear, in-vehicle noise data value and blower speed, etc. Among the related variables, one variable is regarded as the dependent variable, and the other multiple variables are regarded as independent variables. The quantitative relationship of the linear mathematical model between the multiple variables is established, and the statistical analysis method of analyzing the sample data is used to establish the objective function equation.

[0058] 4. According to the multivariate linear regression analysis model, the in-vehicle noise value variable of the new energy vehicle thermal management system under a certain working condition is regarded as the dependent variable, and the working gear, blower speed, cooling fan speed, compressor speed, and water pump speed are regarded as independent variables. The quantitative relationship of the linear mathematical model between multiple variables is established as follows:

[0059] P1=γ1+α1D+β1W+θ1U+σ1C+μ1Y+ε1

[0060] Where: P1-in-vehicle noise data value; D-working gear; W-blower speed; U-cooling fan speed; C-compressor speed; Y-water pump speed;

[0061] γ1-constant; α1, β1, θ1, σ1, μ1-corresponding independent variable coefficients; ε1-error term

[0062] The thermal management system of new energy vehicles can establish functional equations under each working condition. The method of establishing the equations is the same, but the expressions of the functional equations are different.

[0063] 5. Similarly, see Figure 6 When only the HVAC system is working, the linear mathematical model quantitative relationship between the vehicle interior noise data value, the working gear, and the blower working speed is established as follows:

[0064] P2=γ2+α2D+β2W+ε2

[0065] Where: P2-in-vehicle noise data value; D-working gear; W-blower speed

[0066] γ2-constant when only the HVAC system is working; α2, β2-coefficients of the corresponding independent variables; ε2-error term when only the HVAC system is working.

[0067] 6. Use the least squares method to find the coefficients γ1, α1, β1, θ1, σ1, μ1, ε1, γ2, α2, β2, ε2, and calculate the objective function to determine the optimal corresponding relationship.

[0068] P3=P2-P1

[0069] P3 is a function curve of five variables, namely, working gear, blower speed, cooling fan speed, compressor speed, and water pump speed, constructed based on P1 and P2;

[0070] The above calculation obtains a corresponding relationship between the in-vehicle noise data value and the HVAC system when it is working, and reverse deduction can be achieved based on the corresponding relationship.

[0071] 7. Substitute the expected in-vehicle noise data values ​​of the new energy vehicle thermal management system under all working conditions into the vehicle thermal management system database. The vehicle thermal management system database will obtain the corresponding relationship based on the above steps 1 to 6 and reversely obtain the HVAC system noise data values, and finally adjust its control strategy through the HVAC system noise data values.

[0072] The expected in-vehicle noise data values ​​for all working conditions of the thermal management system of new energy vehicles are obtained through expert discussions based on vehicle grade positioning, cost and project experience accumulation in actual projects.

[0073] Organize subjective evaluation and scoring for HVAC system. The following requirements are imposed on the evaluators: at least 10 evaluators are responsible for subjective evaluation and scoring, including personnel from different business fields, and at least 4 evaluators are professionals with vibration and noise evaluation qualifications or personnel who have received relevant training. If the subjective score does not reach 8 points, further optimization is required. For the description of subjective evaluation levels, please refer to Figure 3 ; Note: 1 to 5 points are generally considered unacceptable; 6 to 10 points are generally considered acceptable.

[0074] Taking a new energy vehicle thermal management system as an example, suppose the expected in-vehicle noise data value when the new energy vehicle works in this working condition is as follows: Figure 4 As shown by the blue line, it is substituted into the vehicle thermal management system database;

[0075] Screen the competitive vehicle models of the development model in the vehicle thermal management system database;

[0076] Figure 4 It is the expected in-vehicle noise data value when a certain new energy vehicle thermal management system is working under a certain working condition in the example;

[0077] The vehicle thermal management system database will eventually form an interface. Figure 5 Display an interface in the vehicle thermal management system database, in which the core benchmark vehicles in the project are selected;

[0078] The vehicle thermal management system database is reversed to obtain the multi-dimensional functional relationship between the working gear of the HVAC system, the noise data value inside the vehicle, and the blower speed. Figure 6 As shown;

[0079] Finally, the control strategy of the HVAC system in the whole vehicle is obtained according to the data value of the noise inside the vehicle when the HVAC system is working, that is, the terminal voltage of each gear when the HVAC system is working is: 3.4V, 4.0V, 5.1V, 5.9V, 6.9V, 8.6V and 12V. The speed of the blower and the voltage of the blower are one-to-one corresponding. It can be understood that one speed corresponds to one voltage. In the actual vehicle control strategy, the input signal to the blower is voltage instead of speed.

[0080] The blower speed W can be calculated based on P3. The blower speed W is directly proportional to the blower terminal voltage.

[0081] The present invention provides another embodiment, a reverse development system for HVAC system control in a complete vehicle state, comprising:

[0082] Establish a database module to establish the vehicle thermal management system database;

[0083] A screening module is used to screen competing vehicle models of the development model in the vehicle thermal management system database;

[0084] Establish an objective function module to establish the relationship between the parameters when the thermal management system is working in all working conditions and when only the HAVC system is working;

[0085] The reverse inference module is used for the vehicle thermal management system database to reversely obtain the HVAC system noise data value based on the corresponding relationship, and finally adjust its control strategy through the HVAC system noise data value.

[0086] The subjective evaluation module is used to organize subjective evaluation and scoring of the HVAC system.

[0087] Based on the above-mentioned reverse development method of HVAC system control in the whole vehicle state, the present invention provides another device. The device includes but is not limited to: one or more processors and memories.

[0088] The memory, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions corresponding to the reverse development method of the HVAC system control in the whole vehicle state in the embodiment of the present invention. The processor executes various functional applications and data processing of the vehicle by running the software programs, instructions and modules stored in the memory, that is, realizing the reverse development method of the HVAC system control in the whole vehicle state.

[0089] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage devices.

[0090] The present invention also provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, a method for reverse development of HVAC system control in a complete vehicle state is implemented. The method for reverse development of HVAC system control in a complete vehicle state comprises the following steps:

[0091] S1. Establish a vehicle thermal management system database;

[0092] S2. Select the competitive vehicle models of the developed vehicle model in the vehicle thermal management system database;

[0093] S3. The vehicle interior noise value variable when the vehicle thermal management system is working in all working conditions is regarded as the dependent variable, and the working gear, blower speed, cooling fan speed, compressor speed, and water pump speed are regarded as independent variables, and a linear mathematical model quantitative relationship between the variables is established;

[0094] S4, when only the HVAC system is working, the linear mathematical model quantitative relationship between the noise data value in the vehicle and the working gear and the blower working speed is established;

[0095] S5. Use the least square method to find the coefficients γ1, α1, β1, θ1, σ1, μ1, ε1, γ2, α2, β2, and ε2, and calculate the objective function to determine the optimal corresponding relationship;

[0096] S6. Substitute the expected in-vehicle noise data values ​​when the automobile thermal management system is working in all working conditions into the vehicle thermal management system database. The vehicle thermal management system database will obtain the HVAC system noise data values ​​based on the above-mentioned corresponding relationship and reversely deduce them, and finally adjust its control strategy through the HVAC system noise data values.

[0097] The computer-readable storage medium provided by the present invention has computer executable instructions that are not limited to the method operations described above, and can also execute related operations in the reverse development method for HVAC system control in the whole vehicle state provided by any embodiment of the present invention.

[0098] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0099] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loading and executing computer program instructions on a computer, the process or function described in the embodiment of the present invention is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be transmitted from a website site, a computer, a server or a data center to another website site, a computer, a server or a data center by wired (for example, coaxial cable, optical fiber, digital subscriber line DSL) or wireless (for example, infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server, a data center, etc. that contains one or more available media integrated. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid-state hard disk Solid State Disk, SSD), etc.

[0100] In the above embodiments, the various units and modules included are only divided according to functional logic, but are not limited to the above divisions, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0101] The above is only a specific implementation of the present invention, but the protection scope of the present invention is not limited thereto. Any modification, equivalent replacement and improvement made by any person skilled in the art within the technical scope disclosed by the present invention and within the spirit and principle of the present invention shall be covered within the protection scope of the present invention. At the same time, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

Claims

1. A method for reverse development of HVAC system control in a complete vehicle state, characterized in that: The following steps are involved: S1. Establish a vehicle thermal management system database; S2. Select the competitive vehicle models of the developed vehicle model in the vehicle thermal management system database; S3. The vehicle interior noise value variable under all working conditions of the vehicle thermal management system is regarded as the dependent variable, and the working gear, blower speed, cooling fan speed, compressor speed, and water pump speed are regarded as independent variables. The linear mathematical model quantitative relationship between the variables is established as follows: P1=γ1+α1D+β1W+θ1U+σ1C+μ1Y+ε1 Where: P1-in-vehicle noise data value; D-working gear; W-blower speed; U-cooling fan speed; C-compressor speed; Y-water pump speed; γ1-constant; α1, β1, θ1, σ1, μ1-corresponding independent variable coefficients; ε1-error term; S4. When only the HVAC system is working, the linear mathematical model quantitative relationship between the vehicle interior noise data value, working gear, and blower operating speed is: P2=γ2+α2D+β2W+ε2 Where: P2-in-vehicle noise data value; D-working gear; W-blower speed; γ2-constant when only the HVAC system is working; α2, β2-coefficients of the corresponding independent variables; ε2-error term when only the HVAC system is working; S5. Use the least squares method to find the coefficients γ1, α1, β1, θ1, σ1, μ1, ε1, γ2, α2, β2, ε2, and calculate the objective function to determine the corresponding relationship: P3=P2-P1 P3 is a function curve of five variables, namely, working gear, blower speed, cooling fan speed, compressor speed, and water pump speed, constructed based on P1 and P2; S6. Substituting the expected in-vehicle noise data values ​​when the vehicle thermal management system is working in all working conditions into the vehicle thermal management system database, the vehicle thermal management system database will obtain the HVAC system noise data values ​​based on the above-mentioned corresponding relationship and reversely infer, and finally adjust the HVAC system noise control strategy according to the noise data values; The establishment of the vehicle thermal management system database in S1 is based on a large amount of project development experience accumulation, benchmarking analysis of project competing vehicles, and industry communication and reference methods. The working gears, in-vehicle noise data values ​​and blower speeds of the new energy vehicle thermal management system under all working conditions and when only the HVAC system is working are sorted out and summarized in detail to form a database.

2. The method for reverse development of HVAC system control in a complete vehicle state according to claim 1, characterized in that: Also includes: Organize subjective evaluation and scoring of the HVAC system: the number of evaluators for subjective evaluation and scoring should be at least 10, including personnel from different business fields, and at least 4 evaluators should be professionals with vibration and noise evaluation qualifications or personnel who have received relevant training. If the subjective score does not reach 8 points, further optimization is required; 1 to 5 points are generally considered unacceptable; 6 to 10 points are generally considered acceptable.

3. The method for reverse development of HVAC system control in a complete vehicle state according to claim 1, characterized in that: The vehicle thermal management system database in S2 automatically fits the multi-dimensional functional relationship of all parameters in all selected competitive models.

4. The method for reverse development of HVAC system control in a complete vehicle state according to claim 1, characterized in that: There are multiple variables when the automotive thermal management system is working in all working conditions and when only the HVAC system is working, including working gear, in-vehicle noise data value and blower speed. Among the related variables, one variable is regarded as the dependent variable, and the other multiple variables are regarded as independent variables. The quantitative relationship of the linear mathematical model between the multiple variables is established, and the statistical analysis method of sample data is used to analyze the objective function equation.

5. The method for reverse development of HVAC system control in a complete vehicle state according to claim 1, characterized in that: The expected in-vehicle noise data values ​​for all operating conditions of the automotive thermal management system in S6 are obtained based on the vehicle grade positioning, cost and project experience accumulation, and expert discussions in actual projects.

6. The system of the method for reverse development of HVAC system control in a complete vehicle state according to claim 1, characterized in that: include: Establish a database module to establish the vehicle thermal management system database; A screening module is used to screen competing vehicle models of the development model in the vehicle thermal management system database; Establish an objective function module to establish the relationship between the parameters when the thermal management system is working in all working conditions and when only the HVAC system is working; The reverse inference module is used for the vehicle thermal management system database to reversely obtain the HVAC system noise data value based on the corresponding relationship, and finally adjust its control strategy through the HVAC system noise data value.

7. The system according to claim 6, characterized in that Also includes: The subjective evaluation module is used to organize subjective evaluation and scoring of the HVAC system.

8. A device, characterized in that: comprising one or more processors; A memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 5 is implemented.

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