Order reduction method and device of air conditioning system simulation model, electronic equipment and medium

Abstract

The invention provides an order reduction method and device for an air conditioning system simulation model, electronic equipment and a medium, and the method comprises the steps: building an initial air conditioning system closed-loop physical simulation cycle model; the filling amount of cooling liquid used for being filled into the air conditioning system physical simulation model in the initial air conditioning system closed-circuit physical simulation circulation model is determined; determining a target opening degree of an expansion valve in the air conditioning system physical simulation model; assigning the charge quantity to the air conditioning system physical simulation model, and assigning the target opening to the expansion valve to obtain a final air conditioning system closed-loop physical simulation cycle model; reducing an air conditioning system physical simulation model in the air conditioning system closed-circuit physical simulation cycle model into an air conditioning system mathematical simulation model; wherein the compressor rotating speed, the condenser air inlet speed, the cooling liquid flow and the cooling liquid temperature serve as input of the air conditioner system mathematical simulation model, and the evaporator cooling power serves as output of the air conditioner system mathematical simulation model. Through the method, the running speed of the simulation model of the automobile air conditioning system is improved.

Description

Technical Field

[0001] The present application relates to the field of simulation technology, and in particular to a method, device, electronic equipment and medium for reducing the order of an air-conditioning system simulation model. Background Art

[0002] The simulation model of the automobile air conditioning system is usually a one-dimensional simulation model, which belongs to a physical simulation model. This kind of simulation model runs slowly during operation. If other models are integrated, such as battery models, power economy models, control strategy models, etc., the overall operation speed of the model will be seriously dragged down, resulting in low operating efficiency and even model operation crashes. Summary of the invention

[0003] In view of this, the purpose of the present application is to provide a method, device, electronic device and medium for reducing the order of an air-conditioning system simulation model, by reducing the order of the automobile air-conditioning system simulation model from a physical simulation model to a mathematical simulation model, thereby improving the running speed of the automobile air-conditioning system simulation model.

[0004] In a first aspect, an embodiment of the present application provides an order reduction method for an air conditioning system simulation model, comprising:

[0005] Constructing an initial air-conditioning system closed-loop physical simulation cycle model; wherein the initial air-conditioning system closed-loop physical simulation cycle model includes a thermodynamic cycle diagram, a simulation stop model, and a closed loop formed by sequentially connecting a battery operation and temperature calculation model, a battery coolant system, and an air-conditioning system physical simulation model; the air-conditioning system physical simulation model includes a compressor, a condenser, an expansion valve, and an evaporator connected in sequence from beginning to end;

[0006] Determining, according to the heat dissipation requirement of the battery, a charge amount of coolant required for charging into the physical simulation model of the air conditioning system when the battery dissipates heat;

[0007] By adjusting the opening of the expansion valve, determining the target opening of the expansion valve when the superheat of the evaporator is within a reasonable range;

[0008] Assigning the charging amount to the physical simulation model of the air-conditioning system, assigning the target opening to the expansion valve, and obtaining a final closed-loop physical simulation cycle model of the air-conditioning system;

[0009] The physical simulation model of the air-conditioning system in the closed-loop physical simulation cycle model of the air-conditioning system is reduced to a mathematical simulation model of the air-conditioning system; wherein the input of the mathematical simulation model of the air-conditioning system is the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature, and the output is the evaporator cooling power.

[0010] In combination with the first aspect, the embodiment of the present application provides a first possible implementation of the first aspect, wherein, before building the initial air-conditioning system closed-loop physical simulation cycle model, the method further includes:

[0011] Building an open-circuit physical simulation model of an initial air-conditioning system; wherein the open-circuit physical simulation model of the initial air-conditioning system includes an initial compressor, an initial condenser, an initial expansion valve, and an initial evaporator connected in sequence;

[0012] The boundary conditions in the thermodynamic cycle diagram are used as the input of the initial compressor and the output of the initial evaporator in the open-loop physical simulation model of the initial air-conditioning system, so as to determine the heat dissipation parameters of the initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator according to the boundary conditions in the thermodynamic cycle diagram;

[0013] The heat dissipation parameters are respectively assigned to the corresponding initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator to obtain the compressor, the condenser, the expansion valve, and the evaporator.

[0014] In combination with the first aspect, the embodiment of the present application provides a second possible implementation of the first aspect, wherein, after reducing the physical simulation model of the air-conditioning system in the closed-loop physical simulation cycle model of the air-conditioning system to a mathematical simulation model of the air-conditioning system, the method further includes:

[0015] determining a target cooling power of the evaporator according to a time taken for charging the battery;

[0016] Based on the target cooling power of the evaporator and the mathematical simulation model of the air-conditioning system, an optimization is performed to find the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature with the goal of reducing the energy consumption of the compressor.

[0017] In combination with the second possible implementation of the first aspect, the embodiment of the present application provides a third possible implementation of the first aspect, wherein, after finding the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate, and the coolant temperature, the method further includes:

[0018] The optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature are assigned to the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature respectively to obtain an optimized mathematical simulation model of the air-conditioning system.

[0019] In combination with the first aspect, an embodiment of the present application provides a fourth possible implementation of the first aspect, wherein the battery operation and temperature calculation model is used to simulate battery operation and detect battery temperature; the battery coolant system is used to use coolant to cool the battery in the battery operation and temperature calculation model; and the air-conditioning system physical simulation model is used to cool the battery coolant system.

[0020] In a second aspect, an embodiment of the present application further provides a reduced-order device for an air-conditioning system simulation model, comprising:

[0021] The first building module is used to build an initial air-conditioning system closed-loop physical simulation cycle model; wherein the initial air-conditioning system closed-loop physical simulation cycle model includes a thermodynamic cycle diagram, a simulation stop model, and a closed loop formed by sequentially connecting a battery operation and temperature calculation model, a battery coolant system, and an air-conditioning system physical simulation model; the air-conditioning system physical simulation model includes a compressor, a condenser, an expansion valve, and an evaporator connected in sequence from beginning to end;

[0022] A first determination module is used to determine the amount of coolant charged into the physical simulation model of the air conditioning system required for the heat dissipation of the battery according to the heat dissipation demand of the battery;

[0023] A second determination module is used to determine a target opening of the expansion valve when the superheat of the evaporator is within a reasonable range by adjusting the opening of the expansion valve;

[0024] A first assignment module, used for assigning the charge amount to the air conditioning system physical simulation model, assigning the target opening to the expansion valve, and obtaining a final air conditioning system closed-loop physical simulation cycle model;

[0025] A reduction module is used to reduce the physical simulation model of the air-conditioning system in the closed-loop physical simulation cycle model of the air-conditioning system to a mathematical simulation model of the air-conditioning system; wherein the input of the mathematical simulation model of the air-conditioning system is the compressor speed, the condenser inlet air speed, the coolant flow rate and the coolant temperature, and the output is the evaporator cooling power.

[0026] In combination with the second aspect, the embodiment of the present application provides a first possible implementation of the second aspect, wherein the device further includes:

[0027] The second building module is used to build an initial air-conditioning system open-circuit physical simulation model; wherein the initial air-conditioning system open-circuit physical simulation model includes an initial compressor, an initial condenser, an initial expansion valve, and an initial evaporator connected in sequence;

[0028] a third determination module, configured to use the boundary conditions in the thermodynamic cycle diagram as the input of the initial compressor and the output of the initial evaporator in the open-loop physical simulation model of the initial air-conditioning system, so as to determine the heat dissipation parameters of the initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator according to the boundary conditions in the thermodynamic cycle diagram;

[0029] The second assignment module is used to assign each of the heat dissipation parameters to the corresponding initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator to obtain the compressor, the condenser, the expansion valve, and the evaporator.

[0030] In combination with the second aspect, the embodiment of the present application provides a second possible implementation of the second aspect, wherein the device further includes:

[0031] a fourth determination module, configured to determine a target cooling power of the evaporator according to a time taken for charging the battery;

[0032] The optimization module is used to perform optimization based on the target cooling power of the evaporator and the mathematical simulation model of the air-conditioning system, with the goal of reducing the energy consumption of the compressor, and find the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature.

[0033] In combination with the second possible implementation of the second aspect, the embodiment of the present application provides a third possible implementation of the second aspect, wherein the device further includes:

[0034] The optimization module is used to assign the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature to the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature respectively, so as to obtain an optimized mathematical simulation model of the air-conditioning system.

[0035] In combination with the second aspect, an embodiment of the present application provides a fourth possible implementation of the second aspect, wherein the battery operation and temperature calculation model is used to simulate battery operation and detect battery temperature; the battery coolant system is used to use coolant to cool the battery in the battery operation and temperature calculation model; and the air-conditioning system physical simulation model is used to cool the battery coolant system.

[0036] In a third aspect, an embodiment of the present application further provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and when the machine-readable instructions are executed by the processor, the steps in any possible implementation of the first aspect above are performed.

[0037] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in any possible implementation of the first aspect described above are executed.

[0038] The embodiment of the present application provides a method, device, electronic device and medium for reducing the order of an air-conditioning system simulation model, and constructs an initial closed-loop physical simulation cycle model of the air-conditioning system; wherein the initial closed-loop physical simulation cycle model of the air-conditioning system includes a thermodynamic cycle diagram, a simulation stop model, and a closed loop formed by sequentially connecting a battery operation and temperature calculation model, a battery coolant system, and an air-conditioning system physical simulation model; the air-conditioning system physical simulation model includes a compressor, a condenser, an expansion valve, and an evaporator connected in sequence from beginning to end; according to the heat dissipation demand of the battery, the filling amount of coolant required for charging into the physical simulation model of the air-conditioning system when the battery dissipates heat is determined; by adjusting the opening of the expansion valve, the target opening of the expansion valve is determined when the superheat of the evaporator is within a reasonable range; the filling amount is assigned to the physical simulation model of the air-conditioning system, and the target opening is assigned to the expansion valve to obtain the final closed-loop physical simulation cycle model of the air-conditioning system; the closed-loop physical simulation cycle model of the air-conditioning system is reduced to a mathematical simulation model of the air-conditioning system; wherein the input of the mathematical simulation model of the air-conditioning system is the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature, and the output is the evaporator cooling power. In this embodiment, the closed-loop physical simulation cycle model of the air-conditioning system is reduced to a mathematical simulation model of the air-conditioning system, thereby improving the running speed of the simulation model of the automobile air-conditioning system.

[0039] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0041] Figure 1A flowchart of a method for reducing the order of an air conditioning system simulation model provided in an embodiment of the present application is shown;

[0042] Figure 2 A schematic structural diagram of an initial air-conditioning system open-circuit physical simulation model provided in an embodiment of the present application is shown;

[0043] Figure 3 A schematic structural diagram of a closed-loop physical simulation cycle model of an initial air-conditioning system provided in an embodiment of the present application is shown;

[0044] Figure 4 A schematic diagram of a superheat variation curve of an evaporator before and after step reduction provided in an embodiment of the present application is shown;

[0045] Figure 5 A comparison diagram of the evaporator refrigeration power before and after the step-down provided in the embodiment of the present application is shown;

[0046] Figure 6 A comparison chart of battery charging time and air conditioning system energy consumption before and after downgrading provided by an embodiment of the present application is shown;

[0047] Figure 7 A schematic diagram of the structure of a reduction-order device for an air-conditioning system simulation model provided in an embodiment of the present application is shown;

[0048] Figure 8 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0049] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0050] Considering that the physical simulation model of the air conditioning system runs slowly, if other models are integrated, such as the battery model, power economy model, control strategy model, etc., it will seriously slow down the overall running speed of the model, resulting in low running efficiency and even model operation crash. The reasons for the slow running speed of the physical simulation model of the air conditioning system may be caused by the following factors:

[0051] High model complexity: The physical simulation model of the air conditioning system (one-dimensional two-phase flow simulation model) may include complex properties such as the interaction between multiple phases, as well as the transfer process of mass, momentum and energy. This will increase the amount of calculation and slow down the simulation.

[0052] A large number of discrete units: In the physical simulation model of the air-conditioning system (one-dimensional two-phase flow simulation model), it is usually necessary to discretize the fluid and particles. If the number of discrete units is large, it will lead to a huge amount of calculation, thereby reducing the running speed of the simulation.

[0053] The time step is too small: A time step that is too small will increase the complexity of the calculation and cause the simulation to run slower. Properly increasing the time step can increase the running speed.

[0054] Improper selection of numerical algorithms: Selecting an inappropriate numerical algorithm can also affect the speed at which the simulation runs. Ensuring that the numerical algorithm is efficient and appropriate for the characteristics of the problem can improve simulation efficiency.

[0055] Insufficient computing resources: The physical simulation model of the air conditioning system (one-dimensional two-phase flow simulation model) usually requires higher computing resources to ensure operation efficiency. If the computing resources are insufficient, the simulation speed may be slow. Consider using a higher-performance computer or parallel computing to speed up the simulation.

[0056] Improper model parameter settings: Appropriate adjustment of model parameters, including grid resolution, boundary conditions, etc., can improve the running speed of the simulation.

[0057] Based on this, the embodiments of the present application provide a method, device, electronic device and medium for reducing the order of an air-conditioning system simulation model. By reducing the order of the physical simulation model of the air-conditioning system (a one-dimensional simulation model) to the mathematical simulation model of the air-conditioning system, the above problems can be solved and some beneficial effects can be brought about:

[0058] Simplify high-dimensional problems: One-dimensional reduced-order simulation (reducing the air conditioning system physical simulation model to the air conditioning system mathematical simulation model) can help simplify high-dimensional problems and convert complex multi-dimensional systems into more manageable mathematical problems. This helps reduce computational complexity and improves the efficiency of simulation operations.

[0059] Optimize computing resource utilization: Through dimensionality reduction, the complexity and computational workload of the air conditioning system physical simulation model can be reduced, thereby reducing the demand for computing resources. This helps to use computing resources more efficiently and increase the speed of simulation.

[0060] Speed ​​up the simulation process: Reducing the dimensionality of the problem usually reduces the amount of computation and increases the speed of the simulation. One-dimensional reduced-order simulation can speed up the simulation process and get results faster.

[0061] Extracting the main laws: One-dimensional reduced-order simulation can help extract the main influencing factors and laws in the system, thus helping researchers to understand the system behavior and performance more clearly.

[0062] Enhanced visualization: Reducing high-dimensional problems helps visualize the results and present more intuitive results, helping users understand the problems and results more clearly.

[0063] In general, one-dimensional order reduction simulation plays an important role in simplifying problems, improving efficiency, extracting rules and accelerating calculations. It can effectively solve the challenges brought by high-dimensional problems and improve the feasibility and practicality of simulation models. The following is a description of the embodiments.

[0064] To facilitate understanding of this embodiment, firstly, a method for reducing the order of an air conditioning system simulation model disclosed in an embodiment of this application is described in detail. Figure 1 As shown, the following steps S101-S105 are included:

[0065] S101: constructing an initial closed-loop physical simulation cycle model of the air-conditioning system; wherein, the initial closed-loop physical simulation cycle model of the air-conditioning system includes a thermodynamic cycle diagram, a simulation stop model, and a closed loop formed by sequentially connecting a battery operation and temperature calculation model, a battery coolant system, and an air-conditioning system physical simulation model; the air-conditioning system physical simulation model includes a compressor, a condenser, an expansion valve, and an evaporator connected in sequence.

[0066] S102: Determine, according to a heat dissipation requirement of the battery, a charge amount of coolant required for battery heat dissipation and for charging into a physical simulation model of the air conditioning system.

[0067] S103: By adjusting the opening of the expansion valve, a target opening of the expansion valve is determined when the superheat of the evaporator is within a reasonable range.

[0068] S104: assigning the charging amount to the physical simulation model of the air-conditioning system, assigning the target opening to the expansion valve, and obtaining a final closed-loop physical simulation cycle model of the air-conditioning system.

[0069] S105: reducing the physical simulation model of the air-conditioning system in the closed-loop physical simulation cycle model of the air-conditioning system to a mathematical simulation model of the air-conditioning system; wherein the input of the mathematical simulation model of the air-conditioning system is the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature, and the output is the evaporator cooling power.

[0070] In a possible implementation manner, before executing step S101, the following steps S1001-S1003 may also be performed:

[0071] S1001: Building an open-circuit physical simulation model of an initial air-conditioning system; wherein the open-circuit physical simulation model of the initial air-conditioning system includes an initial compressor, an initial condenser, an initial expansion valve, and an initial evaporator connected in sequence;

[0072] S1002: using the boundary conditions in the thermodynamic cycle diagram as the input of the initial compressor and the output of the initial evaporator in the initial air-conditioning system open-loop physical simulation model, so as to determine the heat dissipation parameters of the initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator according to the boundary conditions in the thermodynamic cycle diagram;

[0073] S1003: assigning values ​​of the heat dissipation parameters to the corresponding initial compressor, initial condenser, initial expansion valve, and initial evaporator respectively, to obtain a compressor, a condenser, an expansion valve, and an evaporator.

[0074] In step S1001, Figure 2 As shown, the initial air conditioning system open circuit physical simulation model is a primary physical simulation model of the air conditioning system built on a computer. The individual components (initial compressor, initial condenser, initial expansion valve, initial evaporator) in the air conditioning system are connected to obtain the initial air conditioning system open circuit physical simulation model.

[0075] In step S1002, the initial compressor, initial condenser, initial expansion valve, and initial evaporator correspond to their own heat dissipation parameters. Determining the heat dissipation parameters for each monomer component can be understood as selecting each monomer component. Exemplarily, the heat dissipation parameter corresponding to the initial evaporator can be the evaporator cooling power; the heat dissipation parameter corresponding to the initial condenser can be the condenser heat dissipation; the heat dissipation parameter of the initial compressor can be the compressor mass flow rate.

[0076] In step S1003, taking the initial evaporator as an example, the evaporator heat dissipation is assigned to the initial evaporator, and then the assigned initial evaporator is determined as follows: Figure 3 Evaporator shown.

[0077] In step S101, after obtaining the selected compressor, condenser, expansion valve, and evaporator, Figure 3 As shown, a physical simulation model of the air conditioning system is built, which includes a compressor, a condenser, an expansion valve, and an evaporator connected in sequence. Then a closed loop consisting of a battery operation and temperature calculation model, a battery coolant system, and a physical simulation model of the air conditioning system is built. Finally, an initial closed-loop physical simulation cycle model of the air conditioning system is built, which includes the closed loop, a thermodynamic cycle diagram, and a simulation stop model.

[0078] Among them, the battery operation and temperature calculation model is used to simulate battery operation and detect battery temperature; the battery coolant system is used to use coolant to cool the battery in the battery operation and temperature calculation model; the air-conditioning system physical simulation model is used to cool the battery coolant system.

[0079] In step S102, the amount of coolant required for cooling the battery is determined according to the heat dissipation demand of the battery included in the battery operation and temperature calculation model. The coolant is used to be charged into the physical simulation model of the air conditioning system.

[0080] In step S103, the expansion valve is controlled based on PI regulation. The opening of the expansion valve determines the flow rate of the coolant in the physical simulation model of the air-conditioning system. The larger the opening of the expansion valve, the larger the flow rate of the coolant in the physical simulation model of the air-conditioning system; the smaller the opening of the expansion valve, the smaller the flow rate of the coolant in the physical simulation model of the air-conditioning system. The reasonable interval is a preset area.

[0081] like Figure 4 As shown, the horizontal axis is time and the vertical axis is the superheat of the evaporator. Figure 4 From the oscillation curve in the figure, it can be seen that the superheat of the evaporator oscillates within a reasonable range, indicating that the target opening of the expansion valve is reasonable.

[0082] In step S104, after the filling amount is assigned to the air-conditioning system physical simulation model in the initial air-conditioning system closed-loop physical simulation cycle model and the target opening is assigned to the expansion valve in the initial air-conditioning system closed-loop physical simulation cycle model, the initial air-conditioning system closed-loop physical simulation cycle model with the assigned values ​​is used as the air-conditioning system closed-loop physical simulation cycle model.

[0083] In step S105, mathematical order reduction is performed on the air-conditioning system physical simulation model in the air-conditioning system closed-loop physical simulation cycle model to reduce the air-conditioning system physical simulation model in the air-conditioning system closed-loop physical simulation cycle model to an air-conditioning system mathematical simulation model.

[0084] Among them, since the compressor speed, condenser air inlet speed, coolant flow rate and coolant temperature are the main influencing parameters of refrigeration performance, the compressor speed, condenser air inlet speed, coolant flow rate and coolant temperature are used as the input of the mathematical simulation model of the air-conditioning system after the reduction. In addition, since the air-conditioning refrigeration capacity is mainly related to the evaporator cooling capacity, the evaporator cooling power is used as the output of the mathematical simulation model of the air-conditioning system after the reduction.

[0085] like Figure 5As shown, the horizontal axis is time, and the vertical axis is the evaporator cooling power. Among the two curves in the figure, one represents the cooling power of the physical simulation model of the air-conditioning system before downgrading, and the other represents the cooling power of the mathematical simulation model of the air-conditioning system after downgrading. Obviously, the cooling power of the physical simulation model of the air-conditioning system before downgrading is not much different from the cooling power of the mathematical simulation model of the air-conditioning system after downgrading, which means that the mathematical simulation model of the air-conditioning system after downgrading does not affect the cooling effect of the model.

[0086] In a possible implementation manner, after executing step S105, the system optimization may be performed through the following steps:

[0087] S1061: Determine a target cooling power of the evaporator according to the battery charging time;

[0088] S1062: Optimize based on the target cooling power of the evaporator and the mathematical simulation model of the air conditioning system, with the goal of reducing the energy consumption of the compressor, and find the optimal values ​​of the compressor speed, condenser air inlet speed, coolant flow rate and coolant temperature.

[0089] In step S1061 , the target cooling power required by the evaporator is determined according to the time taken for the battery to be quickly charged.

[0090] In step S1062, based on the mathematical simulation model of the air-conditioning system, the performance parameters of each individual component (compressor, condenser, expansion valve, evaporator) are not changed while satisfying the battery charging time. Only the input boundary of the mathematical simulation model of the air-conditioning system is adjusted to find the setting with the lowest air-conditioning energy consumption, thereby achieving the purpose of system optimization.

[0091] In this embodiment, when running the physical simulation model of the air-conditioning system before downgrading and running the mathematical simulation model of the air-conditioning system after downgrading, the battery charging time is the same, and the energy consumption of the mathematical simulation model of the air-conditioning system after downgrading is less than the energy consumption of the physical simulation model of the air-conditioning system before downgrading.

[0092] In a possible implementation manner, after executing step S1062, the following steps may also be performed:

[0093] The optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature are assigned to the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature, respectively, to obtain an optimized mathematical simulation model of the air-conditioning system.

[0094] Based on the same technical concept, the embodiment of the present application also provides a reduced-order device for an air conditioning system simulation model, such as Figure 7 As shown, the device comprises:

[0095] The first building module 701 is used to build an initial air-conditioning system closed-loop physical simulation cycle model; wherein the initial air-conditioning system closed-loop physical simulation cycle model includes a thermodynamic cycle diagram, a simulation stop model, and a closed loop formed by sequentially connecting a battery operation and temperature calculation model, a battery coolant system, and an air-conditioning system physical simulation model; the air-conditioning system physical simulation model includes a compressor, a condenser, an expansion valve, and an evaporator connected in sequence from beginning to end;

[0096] A first determination module 702 is used to determine the amount of coolant charged into the physical simulation model of the air conditioning system required for the battery to dissipate heat according to the heat dissipation requirement of the battery;

[0097] The second determination module 703 is used to determine the target opening of the expansion valve when the superheat of the evaporator is within a reasonable range by adjusting the opening of the expansion valve;

[0098] A first assignment module 704, used to assign the charge amount to the air conditioning system physical simulation model, and assign the target opening to the expansion valve, so as to obtain a final air conditioning system closed-loop physical simulation cycle model;

[0099] The reduction module 705 is used to reduce the physical simulation model of the air-conditioning system in the closed-loop physical simulation cycle model of the air-conditioning system to a mathematical simulation model of the air-conditioning system; wherein the input of the mathematical simulation model of the air-conditioning system is the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature, and the output is the evaporator cooling power.

[0100] Optionally, the device further comprises:

[0101] The second building module is used to build an initial air-conditioning system open-circuit physical simulation model; wherein the initial air-conditioning system open-circuit physical simulation model includes an initial compressor, an initial condenser, an initial expansion valve, and an initial evaporator connected in sequence;

[0102] a third determination module, configured to use the boundary conditions in the thermodynamic cycle diagram as the input of the initial compressor and the output of the initial evaporator in the open-loop physical simulation model of the initial air-conditioning system, so as to determine the heat dissipation parameters of the initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator according to the boundary conditions in the thermodynamic cycle diagram;

[0103] The second assignment module is used to assign each of the heat dissipation parameters to the corresponding initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator to obtain the compressor, the condenser, the expansion valve, and the evaporator.

[0104] Optionally, the device further comprises:

[0105] a fourth determination module, configured to determine a target cooling power of the evaporator according to a time taken for charging the battery;

[0106] The optimization module is used to perform optimization based on the target cooling power of the evaporator and the mathematical simulation model of the air-conditioning system, with the goal of reducing the energy consumption of the compressor, and find the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature.

[0107] Optionally, the device further comprises:

[0108] The optimization module is used to assign the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature to the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature respectively, so as to obtain an optimized mathematical simulation model of the air-conditioning system.

[0109] Optionally, the battery operation and temperature calculation model is used to simulate battery operation and detect battery temperature; the battery coolant system is used to use coolant to cool the battery in the battery operation and temperature calculation model; the air conditioning system physical simulation model is used to cool the battery coolant system.

[0110] Figure 8 A structural diagram of an electronic device provided for an embodiment of the present application includes: a processor 801, a memory 802 and a bus 803, wherein the memory 802 stores machine-readable instructions executable by the processor 801. When the electronic device runs the above-mentioned information processing method, the processor 801 communicates with the memory 802 through the bus 803, and the processor 801 executes the machine-readable instructions to perform the method steps described in Example 1.

[0111] The embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method steps described in the first embodiment are executed.

[0112] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices, electronic devices, and computer-readable storage media can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0113] In the several embodiments provided in the present application, it should be understood that the disclosed methods, devices, electronic devices and computer-readable storage media can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of devices or modules can be electrical, mechanical or other forms.

[0114] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0115] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0116] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application can essentially be embodied in the form of a software product, or in other words, the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0117] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for reducing the order of an air conditioning system simulation model, characterized in that: include: Constructing an initial air-conditioning system closed-loop physical simulation cycle model; wherein the initial air-conditioning system closed-loop physical simulation cycle model includes a thermodynamic cycle diagram, a simulation stop model, and a closed loop formed by sequentially connecting a battery operation and temperature calculation model, a battery coolant system, and an air-conditioning system physical simulation model; the air-conditioning system physical simulation model includes a compressor, a condenser, an expansion valve, and an evaporator connected in sequence from beginning to end; Determining, according to the heat dissipation requirement of the battery, a charge amount of coolant required for charging into the physical simulation model of the air conditioning system when the battery dissipates heat; By adjusting the opening of the expansion valve, determining the target opening of the expansion valve when the superheat of the evaporator is within a reasonable range; Assigning the charging amount to the air conditioning system physical simulation model, assigning the target opening to the expansion valve, and obtaining a final air conditioning system closed-loop physical simulation cycle model; The physical simulation model of the air-conditioning system in the closed-loop physical simulation cycle model of the air-conditioning system is reduced to a mathematical simulation model of the air-conditioning system; wherein the input of the mathematical simulation model of the air-conditioning system is the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature, and the output is the evaporator cooling power.

2. The method according to claim 1, characterized in that: Before building the initial air conditioning system closed-loop physical simulation cycle model, the method further includes: Building an open-circuit physical simulation model of an initial air-conditioning system; wherein the open-circuit physical simulation model of the initial air-conditioning system includes an initial compressor, an initial condenser, an initial expansion valve, and an initial evaporator connected in sequence; The boundary conditions in the thermodynamic cycle diagram are used as the input of the initial compressor and the output of the initial evaporator in the open-loop physical simulation model of the initial air-conditioning system, so as to determine the heat dissipation parameters of the initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator according to the boundary conditions in the thermodynamic cycle diagram; The heat dissipation parameters are respectively assigned to the corresponding initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator to obtain the compressor, the condenser, the expansion valve, and the evaporator.

3. The method according to claim 1, characterized in that: After reducing the physical simulation model of the air conditioning system in the closed-loop physical simulation cycle model of the air conditioning system to a mathematical simulation model of the air conditioning system, the method further includes: determining a target cooling power of the evaporator according to a time taken for charging the battery; Based on the target cooling power of the evaporator and the mathematical simulation model of the air-conditioning system, an optimization is performed to find the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature with the goal of reducing the energy consumption of the compressor.

4. The method according to claim 3, characterized in that: After finding the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature, the method further includes: The optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature are assigned to the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature respectively to obtain an optimized mathematical simulation model of the air-conditioning system.

5. The method according to claim 1, characterized in that: The battery operation and temperature calculation model is used to simulate battery operation and detect battery temperature; the battery coolant system is used to cool the battery in the battery operation and temperature calculation model using coolant; The air conditioning system physical simulation model is used to cool the battery coolant system.

6. A device for reducing the order of an air conditioning system simulation model, characterized in that: include: The first building module is used to build an initial air-conditioning system closed-loop physical simulation cycle model; wherein the initial air-conditioning system closed-loop physical simulation cycle model includes a thermodynamic cycle diagram, a simulation stop model, and a closed loop formed by sequentially connecting a battery operation and temperature calculation model, a battery coolant system, and an air-conditioning system physical simulation model; the air-conditioning system physical simulation model includes a compressor, a condenser, an expansion valve, and an evaporator connected in sequence from beginning to end; A first determination module is used to determine the amount of coolant charged into the physical simulation model of the air conditioning system when the battery dissipates heat according to the heat dissipation demand of the battery; A second determination module is used to determine a target opening of the expansion valve when the superheat of the evaporator is within a reasonable range by adjusting the opening of the expansion valve; A first assignment module, used for assigning the charge amount to the air conditioning system physical simulation model, assigning the target opening to the expansion valve, and obtaining a final air conditioning system closed-loop physical simulation cycle model; A reduction module is used to reduce the physical simulation model of the air-conditioning system in the closed-loop physical simulation cycle model of the air-conditioning system to a mathematical simulation model of the air-conditioning system; wherein the input of the mathematical simulation model of the air-conditioning system is the compressor speed, the condenser inlet air speed, the coolant flow rate and the coolant temperature, and the output is the evaporator cooling power.

7. The device according to claim 6, characterized in that: The device also includes: The second building module is used to build an initial air-conditioning system open-circuit physical simulation model; wherein the initial air-conditioning system open-circuit physical simulation model includes an initial compressor, an initial condenser, an initial expansion valve, and an initial evaporator connected in sequence; a third determination module, configured to use the boundary conditions in the thermodynamic cycle diagram as the input of the initial compressor and the output of the initial evaporator in the open-loop physical simulation model of the initial air-conditioning system, so as to determine the heat dissipation parameters of the initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator according to the boundary conditions in the thermodynamic cycle diagram; The second assignment module is used to assign each of the heat dissipation parameters to the corresponding initial compressor, the initial condenser, the initial expansion valve, and the initial evaporator to obtain the compressor, the condenser, the expansion valve, and the evaporator.

8. The device according to claim 6, characterized in that: The device also includes: a fourth determination module, configured to determine a target cooling power of the evaporator according to a time taken for charging the battery; The optimization module is used to perform optimization based on the target cooling power of the evaporator and the mathematical simulation model of the air-conditioning system, with the goal of reducing the energy consumption of the compressor, and find the optimal values ​​of the compressor speed, the condenser air inlet speed, the coolant flow rate and the coolant temperature.

9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate via the bus, and when the machine-readable instructions are executed by the processor, the steps of the method as claimed in any one of claims 1 to 5 are performed.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are executed.

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