Radiator parameter determination method, device and equipment and readable storage medium

Abstract

The invention discloses a radiator parameter determination method, device and equipment and a readable storage medium, and is applied to the field of photovoltaic power stations, and the method comprises the steps: carrying out the discretization of a radiator region range, and obtaining all discretized heat dissipation intervals; according to the heat loss, the heat conduction heat resistance and the diffusion heat resistance, the heat burden of each discretized heat dissipation interval is determined and obtained; determining the heat dissipation value of each discretization interval according to the radiator parameters and the diffusion thermal resistance; the radiator parameters comprise the height of the radiating teeth and the number of the radiating teeth; establishing an objective function based on a cost optimization objective of the radiator, and establishing a constraint condition based on a heat dissipation value and a heat load; and based on the constraint condition and the target function, determining the optimal heat dissipation tooth height and the optimal heat dissipation tooth density corresponding to each discretized heat dissipation interval in the radiator area range. According to the method, the heat burden and the heat dissipation value of each area are accurately matched through discretization partition, the problem of local heat unbalance is solved, the cost optimization can be achieved while the heat dissipation requirement is met, and the design efficiency is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic power plants, and in particular to a method, apparatus, equipment, and readable storage medium for determining radiator parameters. Background Technology

[0002] Currently, heat sink design is generally based on experience and simulation. This approach has certain drawbacks. For example, experience-based judgments can easily deviate from reasonable solutions, leading to unnecessary iterations, and the design cycle is lengthy with low computational efficiency. Furthermore, it cannot achieve optimal design; it can only verify whether the heat dissipation meets the standards. It is difficult to systematically find the optimal parameters that provide adequate heat dissipation and the lowest cost from a vast number of parameters, which can easily lead to the dilemma of over-designing and wasting costs or cutting costs at the expense of heat dissipation.

[0003] Therefore, how to provide a method for determining radiator parameters that can both meet heat dissipation requirements and ensure low cost is a technical problem that urgently needs to be solved. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method, apparatus, device and readable storage medium for determining heat sink parameters, which solves the problem in the prior art that it is impossible to both meet heat dissipation requirements and quickly optimize the optimal heat sink parameters.

[0005] To solve the above-mentioned technical problems, the present invention provides a method for determining radiator parameters, comprising:

[0006] The heat sink area is discretized to obtain various discretized heat dissipation zones;

[0007] The thermal load of each of the discrete heat dissipation zones is determined based on heat loss, thermal conductivity resistance, and thermal diffusion resistance.

[0008] The heat dissipation value of each discretized interval is determined based on the heat sink parameters and the diffusion thermal resistance; the heat sink parameters include the height of the heat sink teeth and the number of heat sink teeth.

[0009] An objective function is established based on the cost optimization objective of the heat sink, and constraints are established based on the heat dissipation value and the thermal burden.

[0010] Based on the constraints and the objective function, the optimal heat dissipation tooth height and optimal heat dissipation tooth density are determined for each of the discretized heat dissipation intervals within the heat sink region.

[0011] Optionally, the thermal load of each of the discretized heat dissipation zones is determined based on heat loss, thermal conductivity, and thermal diffusion resistance, including:

[0012] The thermal resistance and the diffusion resistance are calculated based on the thickness of the heat sink substrate, the thermal conductivity of the heat sink, and the length and width of each of the discrete heat dissipation zones.

[0013] The thermal load ratio of each of the discrete heat dissipation zones is calculated based on the thermal conductivity and the thermal diffusion resistance.

[0014] The heat load of each of the discrete heat dissipation zones is calculated based on the heat loss and the heat load ratio coefficient.

[0015] Optionally, the thermal resistance and the diffusion resistance are calculated based on the heat sink substrate thickness, the heat sink thermal conductivity, and the length and width of each of the discrete heat dissipation zones, including:

[0016] The thermal resistance is obtained according to the formula for calculating thermal resistance; the formula for calculating thermal resistance is: ;

[0017] The diffusion thermal resistance is obtained according to the formula for calculating diffusion thermal resistance; the formula for calculating diffusion thermal resistance is: ;

[0018] in, Indicates thermal resistance. Indicates diffusion thermal resistance. Indicates the thickness of the heat sink substrate. Let represent the thermal conductivity of the heat sink, l and w represent the length and width of each discretized heat dissipation zone, respectively, and i and j represent the row and column of the target discretized heat dissipation zone. and This indicates the row and column of each discretized heat dissipation zone.

[0019] Optionally, the heat load of each of the discrete heat dissipation zones is calculated based on the heat loss and the heat load proportion coefficient, including:

[0020] The heat load is calculated according to the heat load calculation formula; the heat load calculation formula is: ;

[0021] Where Q represents heat loss, S represents the heat burden ratio coefficient, W represents heat burden, and i and j represent the row and column of the target discretized heat dissipation zone. and This represents the row and column of each discretized heat dissipation zone, where n and m represent the total number of rows and columns of the heat sink area, respectively.

[0022] Optionally, the heat dissipation value for each discretized interval is determined based on the heat sink parameters and diffusion thermal resistance, including:

[0023] The diffusion thermal resistance is calculated based on the thickness of the heat sink substrate, the thermal conductivity of the heat sink, and the length and width of each of the discrete heat dissipation zones. The heat dissipation ratio of each of the discrete heat dissipation zones is then calculated based on the diffusion thermal resistance.

[0024] The heat dissipation capacity is calculated using a weighted function based on the height and number of heat dissipation fins.

[0025] The heat dissipation value of each of the discretized intervals is calculated based on the heat dissipation weight coefficient and the heat dissipation capacity.

[0026] Optionally, the heat dissipation value of each discretized interval is calculated based on the heat dissipation weight coefficient and the heat dissipation capacity, including:

[0027] The heat dissipation value is calculated according to the heat dissipation value calculation formula; the heat dissipation value calculation formula is: ;

[0028] Where H represents the heat dissipation value, h represents the heat dissipation capacity, V represents the heat dissipation weight coefficient, and i and j represent the row and column of the target discretized heat dissipation range. and This represents the row and column of each discretized heat dissipation zone, where n and m represent the total number of rows and columns of the heat sink area, respectively.

[0029] Optionally, an objective function is established based on the cost optimization objective of the heat sink, and constraints are established based on the heat dissipation value and the thermal burden, including:

[0030] The objective function is: ;

[0031] The constraint condition is: the heat dissipation value is greater than or equal to the thermal burden;

[0032] in, This represents the height of the heat dissipation teeth in the discretized heat dissipation zone corresponding to the i-th row and j-th column; This represents the number of heat dissipation teeth in the discretized heat dissipation zone corresponding to the i-th row and j-th column; n and m represent the total number of rows and columns of the heat sink area, respectively.

[0033] The present invention also provides a radiator parameter determination device, comprising:

[0034] The discretization module is used to discretize the heat sink area to obtain various discretized heat dissipation zones.

[0035] The thermal load determination module is used to determine the thermal load of each of the discrete heat dissipation zones based on heat loss, thermal conductivity resistance, and thermal diffusion resistance.

[0036] The heat dissipation value determination module is used to determine the heat dissipation value of each of the discretized intervals based on the heat sink parameters and the diffusion thermal resistance; the heat sink parameters include the height of the heat dissipation teeth and the number of heat dissipation teeth;

[0037] The objective function and constraint determination module is used to establish an objective function based on the cost optimization objective of the heat sink, and to establish constraints based on the heat dissipation value and the thermal burden;

[0038] The optimal parameter determination module is used to determine the optimal heat dissipation tooth height and optimal heat dissipation tooth density corresponding to each of the discretized heat dissipation intervals within the heat sink region, based on the constraints and the objective function.

[0039] The present invention also provides a device for determining radiator parameters, comprising:

[0040] Memory, used to store computer programs;

[0041] A processor, used to implement the heat sink parameter determination method as described above when executing the computer program.

[0042] This invention also provides a computer-readable storage medium storing computer-executable instructions. When these instructions are loaded and executed by a processor, they implement the heat sink parameter determination method described above. As can be seen, this invention discretizes the heat sink region to obtain various discretized heat sink intervals; determines the thermal load of each discretized heat sink interval based on heat loss, thermal conductivity, and thermal diffusion resistance; determines the heat dissipation value of each discretized interval based on the heat sink parameters and thermal diffusion resistance; the heat sink parameters include the height and number of heat sink fins; an objective function is established based on the cost optimization objective of the heat sink, and constraints are established based on the heat dissipation value and thermal load; based on the constraints and the objective function, the optimal heat sink fin height and optimal heat sink fin density corresponding to each discretized heat sink interval within the heat sink region are determined. The beneficial effects of this invention are as follows: By adopting a discrete partitioning method, the heat sink is decomposed into discrete intervals and precisely associated with thermal resistance, thermal load, and heat dissipation parameters. This breaks through the limitations of uniform parameters and matches exclusive optimal parameters based on the thermal burden and heat dissipation value of each interval, avoiding local overheating or over-design and ensuring uniform temperature across the entire range. Using the relationship between heat dissipation value and thermal burden as a constraint, the invention simultaneously solves the problem with cost optimization as the objective function. This eliminates performance deviations caused by experience dependence and accurately finds the balance point between compliant heat dissipation and minimum cost, reducing material and processing waste. At the same time, by replacing repeated trial and error and simulation iteration with mathematical modeling, the design cycle is significantly shortened, R&D efficiency is improved, and it can adapt to complex scenarios such as uneven heat source distribution, enhancing its adaptability to the thermal management needs of various types of equipment.

[0043] In addition, the present invention also provides a radiator parameter determination device, equipment and readable storage medium, which also have the above-mentioned beneficial effects. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0045] Figure 1 A flowchart of a method for determining radiator parameters provided in an embodiment of the present invention;

[0046] Figure 2 This is an example diagram of a discrete heat dissipation zone provided in an embodiment of the present invention;

[0047] Figure 3 An example diagram illustrating the optimization results of radiator parameters provided in an embodiment of the present invention;

[0048] Figure 4 This is a schematic diagram of a radiator parameter determination device provided in an embodiment of the present invention;

[0049] Figure 5 This is a schematic diagram of a radiator parameter determination device provided in an embodiment of the present invention. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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.

[0051] Please refer to Figure 1 , Figure 1 A flowchart illustrating a method for determining heat sink parameters according to an embodiment of the present invention. The method may include:

[0052] S101: Discretize the heat sink area to obtain each discretized heat sink zone.

[0053] The execution subject of this embodiment is a terminal. This embodiment is not limited to any particular type of terminal, as long as it can perform the operation of the heat sink parameter determination method. Specifically, this embodiment can determine the heat sink area range based on the loss distribution, ensuring the heat sink area completely covers the loss distribution area, with a 30mm margin between the heat sink edge and the edge of the loss area; the heat sink area range is discretized to obtain various discretized heat dissipation intervals, which can also be called discrete regions. Each discrete region... It is uniform, with length and width l and w respectively, where i represents the i-th row and j represents the j-th column. For a specific example of the discretized graph, please refer to [reference needed]. Figure 2 , Figure 2 This is an example diagram of a discretized heat dissipation zone provided in an embodiment of the present invention. In this way, by dividing the continuous heat dissipation path into a finite number of independent heat transfer units (i.e., discretized heat dissipation zones), the complex continuous heat transfer problem is transformed into a discrete unit problem that can be accurately calculated, avoiding the deviation of local heat load heat dissipation values ​​caused by overall calculation.

[0054] S102: Determine the heat load of each discretized heat dissipation zone based on heat loss, thermal conductivity, and thermal diffusion resistance.

[0055] Heat loss refers to the total heat flow that the heat dissipation system needs to remove. It serves as the overall benchmark for heat load distribution and is determined by the power loss or heat generation rate of the heat source. Thermal resistance refers to the impedance of heat transfer within a solid medium, reflecting the ease of heat conduction within the solid. Diffusion resistance refers to the impedance of heat transfer from the solid surface to the fluid, focusing on the heat transfer resistance at the solid-fluid interface, and is directly related to the fluid velocity and interface area. Based on heat loss, thermal resistance, and diffusion resistance, the heat load corresponding to each discretized heat dissipation zone is calculated.

[0056] Furthermore, the thermal burden of each discretized heat dissipation zone, determined based on heat loss, thermal conductivity, and diffusion resistance, can include:

[0057] Step 11: Calculate the thermal resistance and diffusion resistance based on the thickness of the heat sink substrate, the thermal conductivity of the heat sink, and the length and width of each discretized heat dissipation zone.

[0058] Specifically, you can refer to the following calculation formula:

[0059] The formula for calculating thermal resistance is: ;

[0060] The formula for calculating diffusion thermal resistance is: ;

[0061] in, Indicates thermal resistance. Indicates diffusion thermal resistance. Indicates the thickness of the heat sink substrate. Let represent the thermal conductivity of the heat sink, l and w represent the length and width of each discretized heat dissipation zone, respectively, and i and j represent the row and column of the target discretized heat dissipation zone. and This indicates the row and column of each discretized heat dissipation zone.

[0062] Step 12: Calculate the heat burden ratio coefficient of each discretized heat dissipation zone based on thermal conductivity and diffusion resistance.

[0063] It should be noted that, For each discretized heat source exist The specific gravity of the generated heat load, heat source Leave The farther away, the greater the diffusion thermal resistance. The larger the value, the higher the heat load ratio. The smaller the heat source The smaller the impact in this area, the greater the heat source. Leave The closer, the greater the diffusion thermal resistance. The smaller the value, the higher the heat load ratio. The larger the heat source The greater the impact, the better. The specific calculation formula is as follows:

[0064] .

[0065] From the above formula, it can be seen that when and equal, and When equal, the heat load specific gravity coefficient Only related to thermal resistance Related.

[0066] Step 13: Calculate the heat load of each discretized heat dissipation zone based on the heat loss and heat load ratio coefficient.

[0067] Specifically, the heat load can be calculated using the heat load calculation formula, which is as follows:

[0068] The formula for calculating heat load is: ;

[0069] Where Q represents heat loss, S represents the heat burden ratio coefficient, W represents heat burden, and i and j represent the row and column of the target discretized heat dissipation zone. and This represents the row and column of each discretized heat dissipation zone, where n and m represent the total number of rows and columns of the heat sink area, respectively.

[0070] It can be seen that for a single discretized region thermal burden Heat loss in the local area (referring to the target discretized heat dissipation range) The larger the heat load The higher the value, the more it is due to heat conduction. Similarly, due to heat diffusion, surrounding heat sources also have an impact; the relative importance of the influence of surrounding heat sources is assessed using the heat load weight coefficient.

[0071] S103: Determine the heat dissipation value for each discretization interval based on the heat sink parameters and diffusion thermal resistance; the heat sink parameters include the height of the heat sink teeth and the number of heat sink teeth.

[0072] In this embodiment, the parameters to be optimized are the height and number of heat dissipation fins. (In the local area) The lower part has heat dissipation fins for maximum heat dissipation. Nearby... The heat dissipation fins in the area also help with heat diffusion. Heat dissipation, heat dissipation effect and heat dissipation fin height and the number of heat dissipation teeth Related to, and also with to It is related to diffusion thermal resistance.

[0073] Furthermore, the determination of the heat dissipation value of each discretized interval based on the heat sink parameters and diffusion thermal resistance can specifically include the following steps: calculating the diffusion thermal resistance based on the heat sink substrate thickness, heat sink thermal conductivity, and the length and width of each discretized heat dissipation interval, and calculating the heat dissipation weight coefficient of each discretized heat dissipation interval based on the diffusion thermal resistance; calculating the heat dissipation capacity using a weighting function and based on the height and number of heat dissipation teeth; and calculating the heat dissipation value of each discretized interval based on the heat dissipation weight coefficient and the heat dissipation capacity.

[0074] Specifically, the calculation method for diffusion thermal resistance can be determined by referring to the diffusion thermal resistance calculation formula mentioned above. A weighted function is established for the heat dissipation capacity of a single discretized region with respect to the size of the heatsink in that region; the specific formula can be found in the following formula: .

[0075] in, This represents the height of the heat dissipation teeth in the discretized heat dissipation zone corresponding to the i-th row and j-th column; This represents the number of heat dissipation teeth in the discretized heat dissipation zone corresponding to the i-th row and j-th column. The weighting function for the radiator parameters is obtained by fitting finite element simulation data and can represent the heat dissipation capacity of the discretized heat dissipation range corresponding to the i-th row and j-th column; c1 and c2 are the corresponding weighting coefficients.

[0076] The heat dissipation value is calculated using the heat dissipation value calculation formula; please refer to the following formula for details:

[0077] The formula for calculating heat dissipation is: ;

[0078] The formula for calculating the heat dissipation specific gravity coefficient is: .

[0079] Where H represents the heat dissipation value, h represents the heat dissipation capacity, V represents the heat dissipation weight coefficient, and i and j represent the row and column of the target discretized heat dissipation range. and This represents the row and column of each discretized heat dissipation zone, where n and m represent the total number of rows and columns of the heat sink area, respectively.

[0080] From the above formula for calculating heat dissipation value, it can be seen that the heat dissipation value of each discretized region is the sum of the proportions of the heat dissipation values ​​of all regions at that location. From the formula for calculating the heat dissipation proportion coefficient, it can be seen that the heat dissipation proportion coefficient V and the diffusion thermal resistance... Inversely proportional. Leave The farther away, the greater the diffusion thermal resistance. The larger the value, the smaller the heat dissipation specific gravity coefficient V. exist The smaller the heat dissipation value in a given area, the better. Conversely, exist The greater the heat dissipation capacity of the area, Equal to i When j is equal to 1, the heat dissipation specific gravity coefficient V is at most equal to 1.

[0081] S104: Establish the objective function based on the cost optimization objective of the heat sink, and establish the constraints based on the heat dissipation value and thermal burden.

[0082] Furthermore, the objective function established based on the cost optimization objective of the heat sink, and the constraints established based on the heat dissipation value and thermal load, include:

[0083] The objective function is: ;

[0084] The constraint is: the heat dissipation value is greater than or equal to the heat load, i.e. >= ;

[0085] in, This represents the height of the heat dissipation teeth in the discretized heat dissipation zone corresponding to the i-th row and j-th column; This represents the number of heat dissipation teeth in the discretized heat dissipation zone corresponding to the i-th row and j-th column; n and m represent the total number of rows and columns of the heat sink area, respectively.

[0086] S105: Based on the constraints and objective function, determine the optimal heat dissipation tooth height and optimal heat dissipation tooth density for each discretized heat dissipation interval within the heat sink area.

[0087] Specifically, the expression corresponding to the constraint condition is:

[0088] .

[0089] i、 and j, All are integers. It is a two-dimensional matrix containing the thermal burden of each discretized heat dissipation zone, given the known heat source distribution and well-defined mesh. It can be calculated in advance that it is a constant matrix. The variables l, w, d, and λ are all constants. Therefore, the solution result is as follows:

[0090] ;

[0091] ;

[0092] It is a continuous variable. These are integer variables. In the constraints, the left side of the inequality indicates that the heat dissipation contribution of the heat dissipation teeth at all other locations to point (i, j) decreases with distance. Because the mesh is pre-defined, the distance attenuation term... It can be calculated in advance, using the following formula:

[0093] .

[0094] The constraints can be written as the following formula:

[0095] ;

[0096] ;

[0097] .

[0098] in, and All are coefficients.

[0099] With such linear constraints and a linear (non-convex) objective function, the entire parameter optimization problem is transformed into a mixed-integer linear programming (MILP) problem. Because... Since it's an integer variable, its range of values ​​can be listed. ={5,6,7,8,9,10,11,12}. Similarly, we can continue using enumeration to list the values ​​for each finite element. Optimization solution The entire problem simplifies to a linear programming problem with a single continuous variable. The entire optimization solution process can be solved using optimization solvers such as CPLEX / Gurobi. The main steps of the code are as follows: given constant parameters, pre-calculate the heat load. and distance attenuation term The process includes building the MILP model, visualizing and validating the results. The final parameter optimization results can be referenced. Figure 3 , Figure 3 The figure provided in this embodiment of the invention shows an example of radiator parameter optimization results, where the radiator tooth height and tooth density (number of radiator teeth) are positively correlated with the heat load.

[0100] The heat sink parameter determination method provided in this embodiment of the invention discretizes the heat sink region to obtain various discretized heat sink intervals; the heat load of each discretized heat sink interval is determined based on heat loss, thermal conductivity, and diffusion resistance; the heat dissipation value of each discretized interval is determined based on the heat sink parameters and diffusion resistance; the heat sink parameters include the height and number of heat dissipation teeth; an objective function is established based on the cost optimization objective of the heat sink, and constraints are established based on the heat dissipation value and heat load; based on the constraints and the objective function, the optimal heat dissipation tooth height and optimal heat dissipation tooth density corresponding to each discretized heat sink interval within the heat sink region are determined. This method employs a discrete partitioning approach, breaking down the heat sink into discrete intervals and precisely associating thermal resistance, thermal load, and heat dissipation parameters. This overcomes the limitations of uniform overall parameters, matching specific optimal parameters based on the thermal burden and heat dissipation value of each interval. This avoids local overheating or over-design and ensures uniform temperature across the entire range. Using the relationship between heat dissipation value and thermal burden as a constraint, the method simultaneously solves the problem with cost optimization as the objective function. This eliminates performance deviations caused by experience dependence and accurately finds the balance point between achieving adequate heat dissipation and minimizing cost, reducing material and processing waste. Furthermore, by replacing repeated trial and error and simulation iteration with mathematical modeling, the design cycle is significantly shortened, R&D efficiency is improved, and the method can adapt to complex scenarios such as uneven heat source distribution, enhancing its adaptability to the thermal management needs of various types of equipment.

[0101] The radiator parameter determination device provided in the embodiments of the present invention will be described below. The radiator parameter determination device described below and the radiator parameter determination method described above can be referred to in correspondence.

[0102] Please refer to the details. Figure 4 , Figure 4 A schematic diagram of a radiator parameter determination device provided in an embodiment of the present invention may include:

[0103] Discretization module 100 is used to discretize the heat sink area to obtain various discretized heat sink regions.

[0104] The thermal load determination module 200 is used to determine the thermal load of each of the discrete heat dissipation zones based on heat loss, thermal conductivity resistance and thermal diffusion resistance.

[0105] The heat dissipation value determination module 300 is used to determine the heat dissipation value of each of the discretized intervals based on the heat sink parameters and the diffusion thermal resistance; the heat sink parameters include the height of the heat dissipation teeth and the number of heat dissipation teeth;

[0106] The objective function and constraint determination module 400 is used to establish an objective function based on the cost optimization objective of the heat sink, and to establish constraints based on the heat dissipation value and the thermal burden.

[0107] The optimal parameter determination module 500 is used to determine the optimal heat dissipation tooth height and optimal heat dissipation tooth density corresponding to each of the discretized heat dissipation intervals within the heat sink region, based on the constraints and the objective function.

[0108] Based on the above embodiments, the thermal load determination module 200 may include:

[0109] The calculation unit is used to calculate the thermal resistance and the diffusion resistance based on the thickness of the heat sink substrate, the thermal conductivity of the heat sink, and the length and width of each of the discrete heat dissipation zones.

[0110] The heat load ratio calculation unit is used to calculate the heat load ratio of each of the discrete heat dissipation zones based on the thermal conductivity and the diffusion resistance.

[0111] A heat load calculation unit is used to calculate the heat load of each of the discrete heat dissipation zones based on the heat loss and the heat load ratio coefficient.

[0112] Based on the above embodiments, the computing unit may include:

[0113] A thermal resistance calculation subunit is used to obtain the thermal resistance according to the thermal resistance calculation formula; the thermal resistance calculation formula is: ;

[0114] A diffusion thermal resistance calculation subunit is used to obtain the diffusion thermal resistance according to the diffusion thermal resistance calculation formula; the calculation formula for the diffusion thermal resistance is: ;

[0115] in, Indicates thermal resistance. Indicates diffusion thermal resistance. Indicates the thickness of the heat sink substrate. Let represent the thermal conductivity of the heat sink, l and w represent the length and width of each discretized heat dissipation zone, respectively, and i and j represent the row and column of the target discretized heat dissipation zone. and This indicates the row and column of each discretized heat dissipation zone.

[0116] Based on the above embodiments, the thermal load calculation unit may include:

[0117] A heat load calculation subunit is used to calculate the heat load according to a heat load calculation formula; the heat load calculation formula is: ;

[0118] Where Q represents heat loss, S represents the heat burden ratio coefficient, W represents heat burden, and i and j represent the row and column of the target discretized heat dissipation zone. and This represents the row and column of each discretized heat dissipation zone, where n and m represent the total number of rows and columns of the heat sink area, respectively.

[0119] Based on the above embodiments, the heat dissipation value determination module 300 may include:

[0120] The heat dissipation specific gravity coefficient calculation unit is used to calculate the diffusion thermal resistance based on the thickness of the heat sink substrate, the thermal conductivity of the heat sink, and the length and width of each of the discrete heat dissipation zones, and to calculate the heat dissipation specific gravity coefficient of each of the discrete heat dissipation zones based on the diffusion thermal resistance.

[0121] A heat dissipation capacity calculation unit is used to calculate the heat dissipation capacity using a weighted function and based on the height of the heat dissipation teeth and the number of heat dissipation teeth;

[0122] The heat dissipation value calculation unit is used to calculate the heat dissipation value of each of the discretized intervals based on the heat dissipation weight coefficient and the heat dissipation capacity.

[0123] Based on the above embodiments, the heat dissipation calculation unit may include:

[0124] A heat dissipation value calculation subunit is used to calculate the heat dissipation value according to a heat dissipation value calculation formula; the heat dissipation value calculation formula is: ;

[0125] Where H represents the heat dissipation value, h represents the heat dissipation capacity, V represents the heat dissipation weight coefficient, and i and j represent the row and column of the target discretized heat dissipation range. and This represents the row and column of each discretized heat dissipation zone, where n and m represent the total number of rows and columns of the heat sink area, respectively.

[0126] Based on the above embodiments, the objective function and constraint determination module 400 may include:

[0127] The objective function is determined by the sub-unit, which is used to determine the objective function as follows: ;

[0128] The objective function determines the sub-unit, which is used to determine the constraint condition as follows: the heat dissipation value is greater than or equal to the thermal burden.

[0129] in, This represents the height of the heat dissipation teeth in the discretized heat dissipation zone corresponding to the i-th row and j-th column; This represents the number of heat dissipation teeth in the discretized heat dissipation zone corresponding to the i-th row and j-th column; n and m represent the total number of rows and columns of the heat sink area, respectively.

[0130] It should be noted that the order of the modules and units in the above-mentioned heat sink parameter determination device can be changed without affecting the logic.

[0131] The heat sink parameter determination device provided in this embodiment of the invention includes a discretization module 100 for discretizing the heat sink region to obtain various discretized heat sink intervals; a heat load determination module 200 for determining the heat load of each discretized heat sink interval based on heat loss, thermal conductivity, and diffusion resistance; a heat dissipation value determination module 300 for determining the heat dissipation value of each discretized interval based on the heat sink parameters and diffusion resistance; the heat sink parameters include the height and number of heat dissipation teeth; an objective function and constraint condition determination module 400 for establishing an objective function based on the cost optimization objective of the heat sink and establishing constraints based on the heat dissipation value and the heat load; and an optimal parameter determination module 500 for determining the optimal heat dissipation tooth height and optimal heat dissipation tooth density corresponding to each discretized heat sink interval within the heat sink region based on the constraints and the objective function. This device employs a discrete partitioning approach, breaking down the heat sink into discrete intervals and precisely associating thermal resistance, thermal load, and heat dissipation parameters. This overcomes the limitations of uniform overall parameters, matching optimal parameters to each interval based on its thermal load and heat dissipation value. This avoids localized overheating or over-design, ensuring uniform temperature across the entire area. Using the relationship between heat dissipation value and thermal load as a constraint, the device simultaneously solves the problem with cost optimization as the objective function. This eliminates performance deviations caused by reliance on experience and accurately finds the balance point between adequate heat dissipation and minimum cost, reducing material and processing waste. Furthermore, by replacing repeated trial and error and simulation iterations with mathematical modeling, the design cycle is significantly shortened, R&D efficiency is improved, and the device can adapt to complex scenarios with uneven heat source distribution, enhancing its adaptability to the thermal management needs of various types of equipment.

[0132] The radiator parameter determination device provided in the embodiments of the present invention will be described below. The radiator parameter determination device described below and the radiator parameter determination method described above can be referred to in correspondence.

[0133] Please refer to Figure 5 , Figure 5 A schematic diagram of a radiator parameter determination device provided in an embodiment of the present invention may include:

[0134] Memory 10 is used to store computer programs;

[0135] Processor 20 is used to execute computer programs to implement the above-described method for determining heat sink parameters.

[0136] The memory 10, processor 20, and communication interface 31 all communicate with each other through the communication bus 32.

[0137] In this embodiment of the invention, the memory 10 is used to store one or more programs. The programs may include program code, which includes computer operation instructions. In this embodiment of the invention, the memory 10 may store programs for implementing the following functions:

[0138] The heat sink area is discretized to obtain various discretized heat dissipation zones;

[0139] The heat load of each discretized heat dissipation zone is determined based on heat loss, thermal conductivity resistance, and diffusion resistance.

[0140] The heat dissipation value for each discretization interval is determined based on the heat sink parameters and diffusion thermal resistance; the heat sink parameters include the height of the heat sink fins and the number of heat sink fins.

[0141] An objective function is established based on the cost optimization objective of the radiator, and constraints are established based on the heat dissipation value and thermal load.

[0142] Based on the constraints and objective function, the optimal heat dissipation tooth height and optimal heat dissipation tooth density are determined for each discretized heat dissipation interval within the heat sink region.

[0143] In one possible implementation, the memory 10 may include a program storage area and a data storage area, wherein the program storage area may store the operating system and applications required for at least one function; and the data storage area may store data created during use.

[0144] Furthermore, memory 10 may include read-only memory and random access memory, providing instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores operating systems and operating instructions, executable modules, or data structures, or subsets thereof, or extended sets thereof, wherein the operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and handling hardware-based tasks.

[0145] Processor 20 can be a central processing unit (CPU), an application-specific integrated circuit, a digital signal processor, a field-programmable gate array, or other programmable logic device. Processor 20 can be a microprocessor or any conventional processor. Processor 20 can call programs stored in memory 10.

[0146] Communication interface 31 can be an interface for the communication module, used to connect with other devices or systems.

[0147] Of course, it should be noted that, Figure 5The structure shown does not constitute a limitation on the radiator parameter determination device in the embodiments of the present invention. In practical applications, the radiator parameter determination device may include a ratio Figure 5 More or fewer components as shown, or combinations of certain components.

[0148] The following describes the computer-readable storage medium provided in the embodiments of the present invention. The computer-readable storage medium described below can be referred to in correspondence with the heat sink parameter determination method described above.

[0149] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for determining heat sink parameters.

[0150] The computer-readable storage medium may include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0151] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section.

[0152] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0153] Finally, it should be noted that in this document, relationships such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0154] The present invention has provided a detailed description of a method, apparatus, device, and computer-readable storage medium for determining radiator parameters. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A method of determining a parameter of a heat spreader, the method comprising: The application relates to a heat dissipation optimization method and device. The heat dissipation region range is discretized to obtain discrete heat dissipation intervals; According to heat loss, heat conduction thermal resistance and diffusion thermal resistance, the heat burden of each discrete heat dissipation interval is determined; According to the heat dissipation parameters and the diffusion thermal resistance, the heat dissipation value of each discrete interval is determined; the heat dissipation parameters include heat dissipation tooth height and heat dissipation tooth number; A target function is established based on the cost optimization target of the heat dissipation device, and a constraint condition is established based on the heat dissipation value and the heat burden; Based on the constraint condition and the target function, the optimal heat dissipation tooth height and the optimal heat dissipation tooth density corresponding to each discrete heat dissipation interval in the heat dissipation region range are determined.

2. The heat spreader parameter determination method of claim 1, wherein, According to heat loss, heat conduction thermal resistance and diffusion thermal resistance, the heat burden of each discrete heat dissipation interval is determined, including: According to the heat dissipation substrate thickness, the heat dissipation coefficient and the length and width of each discrete heat dissipation interval, the heat conduction thermal resistance and the diffusion thermal resistance are calculated; Based on the heat conduction thermal resistance and the diffusion thermal resistance, the heat burden proportionality coefficient of each discrete heat dissipation interval is calculated; Based on the heat loss and the heat burden proportionality coefficient, the heat burden of each discrete heat dissipation interval is calculated.

3. The heat spreader parameter determination method of claim 2, wherein, According to the heat dissipation substrate thickness, the heat dissipation coefficient and the length and width of each discrete heat dissipation interval, the heat conduction thermal resistance and the diffusion thermal resistance are calculated, including: The heat conduction thermal resistance is obtained according to a heat conduction thermal resistance calculation formula; the heat conduction thermal resistance calculation formula is: ; The diffusion thermal resistance is obtained according to a diffusion thermal resistance calculation formula; the diffusion thermal resistance calculation formula is: ; wherein, represents a thermal conduction thermal resistance, represents a diffusion thermal resistance, represents a heat sink substrate thickness, represents a heat sink thermal conductivity, l and w respectively represent the length and width of each discretized heat dissipation section, i and j represent the row and column where the target discretized heat dissipation section is located, and represents the row and column where each discretized heat dissipation section is located.

4. The heat spreader parameter determination method of claim 2, wherein, Based on the heat loss and the heat burden proportionality coefficient, the heat burden of each discrete heat dissipation interval is calculated, including: The heat burden is calculated according to a heat burden calculation formula, wherein the heat burden calculation formula is: ; wherein Q represents heat loss, S represents a heat burden proportionality coefficient, W represents heat burden, i and j represent a row and a column in which a target discretized heat dissipation interval is located, and represent a row and a column in which each discretized heat dissipation interval is located, and n and m represent the total number of rows and the total number of columns in which the heat sink region range is divided, respectively.

5. The heat spreader parameter determination method of claim 1, wherein, According to the heat dissipation parameters and the diffusion thermal resistance, the heat dissipation value of each discrete interval is determined, including: According to the heat dissipation substrate thickness, the heat dissipation coefficient and the length and width of each discrete heat dissipation interval, the diffusion thermal resistance is calculated, and the heat dissipation proportionality coefficient of each discrete heat dissipation interval is calculated based on the diffusion thermal resistance; The heat dissipation capacity is calculated by using a weighting function and according to the heat dissipation tooth height and the heat dissipation tooth number; The heat dissipation value of each discrete interval is calculated according to the heat dissipation proportionality coefficient and the heat dissipation capacity.

6. The heat spreader parameter determination method of claim 5, wherein, According to the heat dissipation proportionality coefficient and the heat dissipation capacity, the heat dissipation value of each discrete interval is calculated, including: The heat dissipation value is calculated according to a heat dissipation value calculation formula, wherein the heat dissipation value calculation formula is: ; wherein H represents a heat dissipation value, h represents a heat dissipation capacity, V represents a heat dissipation proportionality coefficient, i and j represent a row and a column where a target discretized heat dissipation interval is located, and represent a row and a column where each discretized heat dissipation interval is located, and n and m represent a total number of rows and a total number of columns of a heat sink region range division, respectively.

7. The heat spreader parameter determination method of claim 1, wherein, The target function is established based on the cost optimization target of the heat dissipation device, and the constraint condition is established based on the heat dissipation value and the heat burden, including: The objective function is: ; The constraint condition is that the heat dissipation value is greater than or equal to the heat burden; wherein, represents the height of the heat dissipation teeth corresponding to the discretized heat dissipation interval of the ith row and the jth column; represents the number of heat dissipation teeth corresponding to the discretized heat dissipation interval of the ith row and the jth column; n and m represent the total number of rows and the total number of columns of the heat sink region range division, respectively.

8. A heat spreader parameter determination apparatus, comprising: The application relates to a heat dissipation optimization method and device. The heat dissipation region range is discretized to obtain discrete heat dissipation intervals; A heat burden determination module is arranged to determine the heat burden of each discrete heat dissipation interval according to heat loss, heat conduction thermal resistance and diffusion thermal resistance; A heat dissipation value determination module is arranged to determine the heat dissipation value of each discrete interval according to heat dissipation parameters and diffusion thermal resistance; the heat dissipation parameters include heat dissipation tooth height and heat dissipation tooth number; A target function and constraint condition determination module is arranged to establish a target function based on the cost optimization target of the heat dissipation device, and to establish a constraint condition based on the heat dissipation value and the heat burden; An optimal parameter determination module is configured to determine optimal fin height and optimal fin density corresponding to each of the discretized heat dissipation regions within the heat sink region range based on the constraint condition and the target function.

9. A heat spreader parameter determination apparatus, comprising: The application further provides a computer readable storage medium having stored computer executable instructions, wherein the computer executable instructions are loaded and executed by a processor to implement the heat sink parameter determination method according to any one of claims 1 to 7. The application further provides a computer readable storage medium having stored computer executable instructions, wherein the computer executable instructions are loaded and executed by a processor to implement the heat sink parameter determination method according to any one of claims 1 to 7. The application further provides a computer readable storage medium having stored computer executable instructions, wherein the computer executable instructions are loaded and executed by a processor to implement the heat sink parameter determination method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, ​

Images