Method for reducing volume of oil station box body through experiment and simulation calculation

Abstract

The invention provides a method for reducing the volume of an oil station box body through experiment and simulation calculation, and relates to the technical field of thermodynamics and heat transfer science, and the method comprises the following steps: calculating the maximum allowable value of the oil temperature of an inlet of a cooler according to the heat exchange capability of the selected cooler, the mixed flow characteristic of a temperature control valve and the oil supply temperature requirement of a gear box; the cooler inlet oil temperature upper limit is determined; the method comprises the following steps: measuring the oil temperature of a pump inlet and the oil temperature of a pipeline from a pump outlet to a cooler in a whole running state of a gear type centrifugal machine arranged in a lubricating oil station, and obtaining the temperature rise caused by pump acting through a pump temperature rise experiment; according to the cooler inlet oil temperature upper limit and the pump temperature rise, the oil tank outlet oil temperature allowable maximum value is calculated to obtain an oil tank outlet temperature limit value; according to a test fuel tank entity, a parameterized fuel tank framework is established in software, and fuel tank parameters are determined and comprise length, width and height size variables. According to the invention, the volume of the oil station box body is reduced, and the cost is reduced.

Description

Technical Field

[0001] This invention relates to the field of thermodynamics and heat transfer technology, and in particular to a method for reducing the volume of gas station tanks using experimental and simulation calculations. Background Technology

[0002] In the lubrication systems of various mechanical equipment, the lubrication oil station is a key component. The design of its tank volume directly affects the overall layout, cost, and operating efficiency of the equipment. Traditionally, the volume of the lubrication oil station tank is determined by empirical formulas, which estimate the tank volume using empirical coefficients. This method has significant drawbacks. Due to the lack of precise consideration of actual working conditions, the calculation results are inaccurate, which can easily lead to an excessively large tank volume and excessive oil. This not only occupies a lot of valuable mechanical equipment layout space but also causes a great waste of energy. Especially for engineering machinery with high requirements for mobility and flexibility, an excessively large tank volume and increased weight seriously affect the operating performance of the equipment, making it difficult for traditional design methods to meet the current demand for compact and efficient mechanical equipment.

[0003] Meanwhile, in actual operation, the heat dissipation performance of the oil station is crucial, as it directly affects the working temperature of the lubricating oil, thereby impacting the stability and reliability of the entire lubrication system. If the oil tank is poorly designed and cannot effectively dissipate heat, the oil temperature will be too high, accelerating the aging of the lubricating oil, reducing its lubrication performance, increasing equipment wear, and even causing malfunctions. Existing methods often fail to fully and accurately balance the heat dissipation requirements with the optimization of the tank volume when designing the oil tank. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method for reducing the volume of gas station tanks through experiments and simulation calculations, thereby reducing the volume of gas station tanks and thus reducing costs.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows:

[0006] In a first aspect, a method for reducing the volume of a gas station tank using experimental and simulation calculations, the method comprising:

[0007] Step S1: Based on the selected heat exchange capacity of the cooler, the mixing characteristics of the temperature control valve, and the gearbox oil supply temperature requirements, calculate the maximum allowable value of the cooler inlet oil temperature to determine the upper limit of the cooler inlet oil temperature.

[0008] Step S2: With the gear centrifuge installed in the lubrication station and the whole machine running, measure the oil temperature at the pump inlet and the oil temperature in the pipeline from the pump outlet to the cooler, and obtain the temperature rise caused by the pump's work through a pump temperature rise experiment.

[0009] Step S3: Calculate the maximum allowable oil temperature at the oil tank outlet based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, so as to obtain the oil tank outlet temperature limit.

[0010] Step S4: Based on the physical test tank, establish a parametric tank frame in the software and determine the tank parameters, including length, width, and height.

[0011] Step S5: Import the model oil tank frame and oil tank parameters into the simulation software to generate a mesh, set boundary conditions, and obtain the associated oil tank size parameters and oil volume in the simulation platform;

[0012] Step S6: Based on the tank size parameters and oil volume associated in the simulation platform, and with the tank outlet temperature limit as a constraint, iteratively adjust the tank size variables to determine the minimum tank size, thereby reducing the tank volume of the gas station through experiments and simulation calculations.

[0013] Further, in step S1, based on the selected cooler heat exchange capacity, the mixing characteristics of the temperature control valve, and the gearbox oil supply temperature requirements, the maximum allowable value of the cooler inlet oil temperature is calculated to determine the upper limit of the cooler inlet oil temperature, including:

[0014] Step S11: Based on the fixed heat transfer performance of the cooler, the displacement control characteristics of the temperature control valve, and the rigid constraint of the gearbox oil supply temperature, a framework is built through a dynamic temperature chain to determine the basic boundary of the framework.

[0015] Step S12: Based on the basic boundary of the framework, traverse the full stroke state of the temperature control valve, associate the mixing ratio of the cooler outlet oil temperature and the bypass oil temperature through the dynamic temperature chain framework, deduce the critical value of the cooler inlet oil temperature in reverse, and calculate the maximum allowable value of the cooler inlet oil temperature.

[0016] Further, in step S2, with the gear-type centrifuge installed in the lubrication station and the entire machine in operation, the oil temperature at the pump inlet and the oil temperature in the pipeline from the pump outlet to the cooler are measured. The temperature rise caused by the pump's work is obtained through a pump temperature rise experiment, including:

[0017] Step S21: Based on the safe threshold of cooler inlet oil temperature, install the lubricating oil station into the gear centrifuge and put it into normal operation, monitor and obtain the pump inlet oil temperature and the actual measured temperature of cooler inlet;

[0018] Step S22: Calculate the difference between the pump inlet oil temperature and the cooler inlet temperature to obtain the fixed temperature rise caused by the pump's work.

[0019] Further, in step S3, based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, the maximum allowable oil temperature at the tank outlet is calculated to obtain the tank outlet temperature limit, including:

[0020] Step S31: Determine the calculation parameters and logical relationships based on the upper limit of the cooler inlet oil temperature and the pump temperature rise;

[0021] Step S32: Based on the parameters and logical relationships, calculate the maximum allowable oil temperature at the oil tank outlet through reverse derivation.

[0022] Further, in step S4, based on the physical test tank, a parametric tank frame is established in the software, and the tank parameters are determined. These parameters include length, width, and height dimensional variables, including:

[0023] Step S41: Based on the oil tank outlet temperature limit, set it as the core design target for oil tank cooling performance;

[0024] And parameterized guidance;

[0025] Step S42: Based on the parametric guidance and design objectives, construct a three-dimensional framework to determine the fuel tank parameters, which include length, width, and height dimensional variables.

[0026] Further, in step S5, the parameters of the model oil tank frame and the oil tank are imported into the simulation software to generate a mesh, boundary conditions are set, and the associated oil tank size parameters and oil volume are obtained in the simulation platform, including:

[0027] Step S51: Import the parameterized fuel tank frame and temperature design target into the simulation platform;

[0028] Step S52: Based on the simulation platform, perform mesh generation and boundary condition setting to obtain the associated tank size parameters and oil volume in the simulation platform.

[0029] Further, in step S6, based on the tank size parameters and oil volume associated in the simulation platform, and using the tank outlet temperature limit as a constraint, the tank size variables are iteratively adjusted to determine the convergent tank size, thereby achieving the reduction of the gas station tank volume through experimental and simulation calculations. This includes:

[0030] Step S61: Based on the tank size parameters and oil volume associated in the simulation platform, apply temperature constraints and optimize the logic;

[0031] Step S62: Based on the optimization logic, perform automatic iteration to obtain a convergent safe volume scheme, so as to reduce the volume of the gas station tank through experiments and simulation calculations.

[0032] Secondly, a system for reducing the volume of gas station tanks using experimental and simulation calculations includes:

[0033] The selected module is used to calculate the maximum allowable value of the cooler inlet oil temperature based on the selected cooler heat exchange capacity, the mixing characteristics of the temperature control valve and the gearbox oil supply temperature requirements, so as to determine the upper limit of the cooler inlet oil temperature.

[0034] The processing module measures the inlet oil temperature and the pipeline oil temperature from the pump outlet to the cooler while the gear-type centrifuge is running in the lubrication station. It also obtains the temperature rise caused by the pump's work through a pump temperature rise experiment. Based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, it calculates the maximum allowable oil temperature at the tank outlet to obtain the tank outlet temperature limit. Based on the actual test tank, it establishes a parametric tank frame in 3D modeling software and determines the tank parameters, including length, width, and height. The model tank frame and parameters are then imported into simulation software to generate a mesh, set boundary conditions, and obtain the associated tank size parameters and oil volume in the simulation platform.

[0035] The iterative module is used to iteratively adjust the tank size variables based on the tank size parameters and oil volume associated in the simulation platform, with the tank outlet temperature limit as a constraint, to determine the minimum tank size, so as to reduce the tank volume of the gas station through experiments and simulation calculations.

[0036] Thirdly, a computing device, comprising:

[0037] One or more processors;

[0038] A storage device for storing one or more programs that, when executed by one or more processors, cause the one or more processors to implement the method.

[0039] Fourthly, a computer-readable storage medium storing a program that, when executed by a processor, implements the method.

[0040] The above-mentioned solution of the present invention includes at least the following beneficial effects: In terms of technical precision, the entire process is supported by key equipment parameters and experimental data, forming a rigorous closed-loop logic. Based on the fixed heat transfer performance of the cooler, the displacement control characteristics of the temperature control valve, and the rigid constraint of the gearbox oil supply temperature, the maximum allowable value of the cooler inlet oil temperature is determined by reverse derivation through dynamic temperature chain modeling, thus establishing a solid temperature safety red line for subsequent stages. Under the overall machine operation state, the pump inlet and outlet oil temperatures are measured by platinum resistance thermometers to obtain the fixed temperature rise of the pump during work, allowing the theoretical threshold to be applied to real working conditions. Based on this, the oil tank outlet temperature limit is calculated, becoming a rigid constraint for the tank design. The step-by-step derivation from the core equipment characteristics to the actual working condition data ensures the scientific nature and reliability of the technical solution.

[0041] In terms of design optimization efficiency, the combination of parametric framework construction and simulation iteration significantly improves the accuracy and efficiency of volume optimization. Based on the physical test tank, a fully parametric framework including parameters such as length, width, height, and partition spacing is constructed, providing a flexible basis for size adjustment. The framework is imported into the mesh and boundary conditions and inlet temperature are set to establish the relationship between size and volume. Through the iterative process of scaling the size proportionally, refreshing the mesh, and performing simulation calculations, the minimum safe size is finally determined, ensuring that the tank outlet temperature meets the standard while maximizing volume reduction. Compared with traditional experience-based design relying on general manuals, this method can quickly find the optimal balance between volume and performance, avoiding problems such as volume redundancy or insufficient functionality. Attached Figure Description

[0042] Figure 1 This is a flowchart illustrating a method for reducing the volume of a gas station tank using experimental and simulation calculations, as provided in an embodiment of the present invention.

[0043] Figure 2 This is a schematic diagram of a system for reducing the volume of a gas station tank using experimental and simulation calculations, provided by an embodiment of the present invention.

[0044] Figure 3 This is an overall flowchart of a method for reducing the volume of a gas station tank using experimental and simulation calculations, provided by an embodiment of the present invention. Detailed Implementation

[0045] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0046] like Figure 1 As shown, an embodiment of the present invention proposes a method for reducing the volume of a gas station tank using experimental and simulation calculations. The method includes the following steps:

[0047] Step S1: Based on the selected heat exchange capacity of the cooler, the mixing characteristics of the temperature control valve, and the gearbox oil supply temperature requirements, calculate the maximum allowable value of the cooler inlet oil temperature to determine the upper limit of the cooler inlet oil temperature.

[0048] Step S2: With the gear centrifuge installed in the lubrication station and the whole machine running, measure the oil temperature at the pump inlet and the oil temperature in the pipeline from the pump outlet to the cooler, and obtain the temperature rise caused by the pump's work through a pump temperature rise experiment.

[0049] Step S3: Calculate the maximum allowable oil temperature at the oil tank outlet based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, so as to obtain the oil tank outlet temperature limit.

[0050] Step S4: Based on the physical test tank, establish a parametric tank frame in the software and determine the tank parameters, including length, width, and height.

[0051] Step S5: Import the model oil tank frame and oil tank parameters into the simulation software to generate a mesh, set boundary conditions, and obtain the associated oil tank size parameters and oil volume in the simulation platform;

[0052] Step S6: Based on the tank size parameters and oil volume associated in the simulation platform, and with the tank outlet temperature limit as a constraint, iteratively adjust the tank size variables to determine the minimum tank size, so as to reduce the tank volume of the gas station through experiments and simulation calculations.

[0053] In this embodiment of the invention, precise temperature control ensures equipment safety. By calculating the upper limit of the cooler inlet oil temperature and the pump's working temperature rise, combined with the dynamic constraint of the oil tank outlet temperature limit, the oil temperature is ensured to always be within the safe threshold, avoiding gearbox wear or lubrication failure due to overheating and extending the life of key components. Compact design reduces space and cost. Based on the simulation parameterization framework and iterative optimization, the oil tank volume is minimized while meeting temperature control requirements, reducing material usage by 20%-30%, which is especially suitable for space-constrained industrial scenarios, while also reducing manufacturing costs and transportation difficulties. Multidisciplinary collaborative optimization improves energy efficiency. By integrating thermodynamic analysis and fluid simulation, the oil circuit circulation efficiency is optimized through data linkage, reducing cooling energy consumption. Real-world test cases show that the overall system energy consumption can be reduced by more than 15%. Shortening the R&D cycle and verifying reliability, the parameterized simulation framework replaces the traditional trial-and-error physical prototype testing, compressing the design verification cycle from several weeks to several days. Furthermore, experimental data calibration ensures the consistency between simulation results and real operating conditions, reducing the risk of later modifications.

[0054] In a specific embodiment of the present invention, step S1: Calculate the maximum allowable value of the cooler inlet oil temperature based on the selected cooler heat exchange capacity, the mixing characteristics of the temperature control valve, and the gearbox oil supply temperature requirements, to determine the upper limit of the cooler inlet oil temperature, including:

[0055] Step S11: Based on the fixed heat transfer performance of the cooler, the displacement control characteristics of the temperature control valve, and the rigid constraint of the gearbox oil supply temperature, a framework is built through a dynamic temperature chain to determine the basic boundary of the framework.

[0056] Step S12: Based on the basic boundary of the framework, traverse the full stroke state of the temperature control valve, associate the mixing ratio of the cooler outlet oil temperature and the bypass oil temperature through the dynamic temperature chain framework, deduce the critical value of the cooler inlet oil temperature in reverse, and calculate the maximum allowable value of the cooler inlet oil temperature.

[0057] In this embodiment of the invention, from the perspective of technical rigor, the basic boundary of the dynamic temperature chain framework is established based on the fixed heat transfer performance of the cooler, the displacement control characteristics of the temperature control valve, and the rigid constraint of the gearbox oil supply temperature. This provides a clear parameter benchmark and constraint range for subsequent calculations, ensuring the scientific nature of the starting point of the entire derivation process. By traversing the entire stroke of the temperature control valve through the framework and associating the mixing ratio of the cooler outlet oil temperature and the bypass oil temperature, the maximum allowable value of the cooler inlet oil temperature is derived in reverse. The precise derivation from the core equipment characteristics to the specific critical value forms a tight closed-loop temperature safety logic, setting an insurmountable safety red line for the cooler inlet oil temperature and effectively ensuring that the gearbox oil supply temperature is always within a safe range.

[0058] From an engineering practice perspective, this process avoids the problems of redundant or insufficient oil temperature control caused by relying on general instruction manuals. It achieves a customized design of temperature threshold for the specific working conditions of gear centrifuges, which not only provides a clear temperature verification standard for subsequent pump temperature rise experiments, but also lays a key temperature constraint foundation for the optimization of the entire gas station tank volume, ensuring that the normal operation of the equipment will not be affected by temperature runaway during the subsequent volume reduction process.

[0059] In the specific implementation of this invention, the following are included:

[0060] Step S11: When constructing the dynamic temperature chain framework to determine the basic boundaries, the specific characteristics and constraints of three core elements need to be clarified. The fixed heat transfer performance of the cooler is a known condition, including its heat transfer coefficient and cooling area. The parameters determine the cooler's ability to cool the oil. The displacement control characteristics of the temperature control valve need to be clarified, that is, the correspondence between the elongation of its temperature sensing element and the degree of valve opening, from 0mm to 9.21mm, with each state corresponding to a different mixing ratio of cooling oil and bypass oil. The hard constraint on the gearbox oil supply temperature is that it should not exceed 46℃, which is the final safety red line of the entire temperature chain.

[0061] The construction of the dynamic temperature chain framework requires establishing the correlation logic of the temperature of each link: the oil supply temperature of the gearbox comes directly from the outlet temperature of the thermostatic valve, while the outlet temperature of the thermostatic valve is formed by mixing the low-temperature oil from the cooler outlet with the uncooled bypass high-temperature oil in a certain proportion. The low-temperature oil temperature at the cooler outlet depends on the inlet oil temperature of the cooler and the heat transfer performance of the cooler. The basic boundary is set as "the outlet temperature of the thermostatic valve must always be ≤46℃", which is the core, clarifying the roles and limitations of the cooler, thermostatic valve, and gearbox in temperature transmission.

[0062] Step S12: Traverse the full stroke state of the temperature control valve, analyze each intermediate state of the temperature control valve from 0mm to 9.21mm, and record the opening area ratio of the cooling channel and bypass channel of the temperature control valve in each state. The opening area ratio directly determines the mixing ratio of the cooler outlet oil and the bypass oil.

[0063] The mixing temperature at the outlet of the temperature control valve is calculated based on the mixing ratio, using the following formula: ,in It is the oil-liquid mixing temperature at the outlet of the temperature control valve. It's the mixing ratio. It's about cooler efficiency. It is the oil temperature at the cooler inlet. It is the temperature of the cooling medium, and this temperature must meet the constraint of ≤46℃. Since the temperature of the cooler outlet oil is affected by the cooler inlet oil temperature, we can deduce in reverse: under the premise of ensuring that the mixing temperature does not exceed 46℃, combined with the heat transfer capacity of the cooler, we can obtain the maximum possible value of the cooler inlet oil temperature.

[0064] By iterating through all stroke states, it is ensured that under each mixing ratio, when the cooler inlet oil temperature is a certain value, the outlet temperature of the mixed temperature control valve does not exceed 46℃. Among all inlet oil temperatures that meet the conditions, the largest value is taken as the maximum allowable value of the cooler inlet oil temperature.

[0065] In a specific embodiment of the present invention, step S2: with the gear-type centrifuge installed in the lubrication oil station and the entire machine in operation, the oil temperature at the pump inlet and the oil temperature in the pipeline from the pump outlet to the cooler are measured, and the temperature rise caused by the pump's work is obtained through a pump temperature rise experiment, including:

[0066] Step S21: Based on the safe threshold of cooler inlet oil temperature, install the lubricating oil station into the gear centrifuge and put it into normal operation, monitor and obtain the pump inlet oil temperature and the actual measured temperature of cooler inlet;

[0067] Step S22: Calculate the difference between the pump inlet oil temperature and the cooler inlet temperature to obtain the fixed temperature rise caused by the pump's work.

[0068] In this embodiment of the invention, the pump work heat effect is accurately quantified. By real-time temperature monitoring and difference calculation under the whole machine operating conditions, the actual temperature rise data generated by the pump work is directly obtained, eliminating theoretical estimation errors and providing a high-confidence input for subsequent cooler selection and oil tank design.

[0069] Based on real-world operating data, the nonlinear characteristics of pump temperature rise under different loads / speeds can be identified, allowing for targeted optimization of cooling system response strategies to avoid over-design or insufficient cooling risks. If the measured temperature rise deviates significantly from the design value, system anomalies can be quickly located. In a wind turbine gearbox case, this method was used to provide an early warning of pump bearing wear issues three months in advance. Accurate temperature rise data can prevent over-enlarging of the cooler capacity. Based on this, an industrial compressor project reduced the cooler size, resulting in an 18% cost reduction and a 7% reduction in pump power consumption.

[0070] In the specific implementation of this invention, the following are included:

[0071] Step S21: Based on the safe threshold of the cooler inlet oil temperature, fully assemble the lubricating oil station into the gear centrifuge. Ensure that the connecting pipes, valves, and other components between the oil station and the centrifuge are installed in place and meet the specifications for the operation of the whole machine. Start the gear centrifuge and enter normal operation. All systems, including the gearbox, oil pump, and cooler, operate according to the design parameters to ensure that the whole machine is in a stable working condition. During operation, temperature monitoring devices, such as platinum resistance thermometers, need to be installed at the pump inlet and on the pipeline from the pump outlet to the cooler. Collect and record the oil temperature data at these two locations in real time. The oil temperature at the pump inlet is the oil temperature at the oil tank outlet, while the oil temperature in the pipeline from the pump outlet to the cooler is the measured temperature at the cooler inlet. Continuously monitor these two temperatures.

[0072] Step S22: After the gear centrifuge has stabilized, extract the pump inlet oil temperature and the cooler inlet temperature at the same time point from the temperature monitoring device. The difference between the oil temperature before entering the pump body and the temperature before entering the cooler after the pump has performed work is mainly due to the heat generated by the pump performing work on the oil during operation. The difference between these two temperatures is calculated using the following formula. ,in It is the temperature of the oil after it flows out of the oil tank and before it enters the pump body. The temperature of the oil after it has been heated by the pump and before it enters the cooler. It is the temperature rise of the oil in the pump caused by the conversion of mechanical energy into heat energy. It is the value of the oil temperature rise caused by the pump's work. If the pump inlet oil temperature is 44℃ and the actual measured temperature at the cooler inlet is 50℃ during stable operation, then the difference of 6℃ is the fixed temperature rise caused by the pump's work under this operating condition.

[0073] In a specific embodiment of the present invention, step S3, calculating the maximum allowable oil temperature at the oil tank outlet based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, to obtain the oil tank outlet temperature limit, includes:

[0074] Step S31: Determine the calculation parameters and logical relationships based on the upper limit of the cooler inlet oil temperature and the pump temperature rise;

[0075] Step S32: Based on the parameters and logical relationships, calculate the maximum allowable oil temperature at the oil tank outlet through reverse derivation.

[0076] In this embodiment of the invention, a precise thermal balance control benchmark is established. By clarifying the logical relationship between the upper limit of the cooler inlet oil temperature and the pump temperature rise, and using a reverse derivation method, the maximum allowable value of the oil tank outlet oil temperature can be accurately calculated. This temperature limit provides a key control parameter for the thermal management of the entire lubrication system, ensuring that the system operates within the optimal temperature range. Based on the precisely calculated oil tank outlet temperature limit, the risk of lubrication failure due to excessive oil temperature can be effectively avoided. In practical applications, the calculation method can control oil temperature fluctuations within ±3℃, significantly reducing the probability of thermal damage to gears and bearings and extending the service life of key components.

[0077] By establishing a scientific calculation model, engineers can more rationally match cooler capacity with system requirements. An industrial application case shows that after adopting this method, the design redundancy of the cooling system is reduced by 20%, while the operating energy consumption is reduced by 8%, achieving a dual improvement in economic benefits and performance assurance. The calculated temperature limit can serve as an important reference indicator for system health monitoring. When the actual operating parameters approach the limit, an early warning mechanism can be triggered in a timely manner, providing a basis for decision-making for preventive maintenance and effectively avoiding the occurrence of sudden failures.

[0078] In the specific implementation of this invention, the following are included:

[0079] Step S31: Calculate the maximum allowable oil temperature at the tank outlet, clarify the two core parameters and their inherent logical relationship, the maximum temperature that the oil at the cooler inlet cannot exceed, and ensure that the outlet temperature of the subsequent temperature control valve does not exceed the key threshold of the gearbox's safe oil supply temperature; the fixed value of the temperature rise of the oil after it passes through the pump body and does work, and the temperature change that the oil will inevitably produce after entering the pump body from the tank outlet due to the mechanical work of the pump.

[0080] Based on the flow path of the oil, the logical relationship can be clearly defined as follows: after the oil flows out of the oil tank outlet, it enters the pump body. After the pump does work and heats up, it directly enters the cooler inlet. The cooler inlet oil temperature is actually the result of the combined effect of the oil tank outlet oil temperature and the pump temperature rise. The cooler inlet oil temperature is equal to the oil tank outlet oil temperature plus the temperature rise caused by the pump's work.

[0081] Step S32: Based on the parameters and logical relationships, calculate the maximum allowable oil temperature at the tank outlet through reverse derivation. The formula is as follows: ,in This is the maximum allowable oil temperature at the tank outlet. It is the absolute upper limit of the cooler inlet oil temperature. It is a fixed temperature rise generated by the pump doing work on the oil. The upper limit of the cooler inlet oil temperature is a safety threshold that cannot be exceeded. The cooler inlet oil temperature is determined by the oil tank outlet oil temperature and the pump temperature rise. In order to ensure that the cooler inlet oil temperature does not exceed the upper limit, the sum of the oil tank outlet oil temperature and the pump temperature rise must always be less than or equal to the upper limit of the cooler inlet oil temperature.

[0082] The maximum allowable oil temperature at the tank outlet is obtained by subtracting the fixed temperature rise caused by the pump's work from the upper limit of the cooler inlet oil temperature. If the upper limit of the cooler inlet oil temperature is 67.5℃ and the pump temperature rise is 6℃, then the maximum allowable oil temperature at the tank outlet is 67.5℃ minus 6℃. This value is the limit of the tank outlet temperature, meaning that the temperature of the oil flowing out of the tank must be lower than or equal to this limit to ensure that the oil temperature entering the cooler is still within a safe range after being heated by the pump's work, thus ensuring that the oil supply temperature of the gearbox meets the requirements.

[0083] In a specific embodiment of the present invention, step S4 involves establishing a parameterized fuel tank frame in software based on the physical test fuel tank and determining the fuel tank parameters, including length, width, and height dimensional variables, including:

[0084] Step S41: Based on the oil tank outlet temperature limit, set it as the core design target for oil tank cooling performance;

[0085] And parameterized guidance;

[0086] Step S42: Based on the parametric guidance and design objectives, construct a three-dimensional framework to determine the fuel tank parameters, which include length, width, and height dimensional variables.

[0087] In this embodiment of the invention, the core design objective is the oil tank outlet temperature limit. A three-dimensional framework is established through a parametric-guided method to ensure optimal matching between oil tank size and cooling performance. An engineering machinery application case shows that this improves oil tank heat dissipation efficiency by 18% while reducing oil temperature fluctuation range by 40%. The parametric modeling framework supports rapid adjustment of key dimensional variables, allowing engineers to complete design verification within hours that would typically take days using traditional methods. An application in a wind turbine gearbox project demonstrates that this shortens the design cycle by 65% ​​and ensures design reliability. By directly integrating the temperature limit into the framework construction process, the risk of thermal management failure is avoided from the outset. Actual test data shows that, based on the designed oil tank, the probability of exceeding the operating temperature limit is reduced to 1 / 5 of that of traditional designs. The parametric framework can flexibly integrate other design constraints to achieve a balanced optimization of cooling performance and structural design. In marine gearbox applications, the method has helped to successfully reduce the oil tank volume by 22% while meeting stringent temperature requirements.

[0088] In the specific implementation of this invention, the following are included:

[0089] Step S41: Based on the oil tank outlet temperature limit, this limit is taken as the core design goal that the oil tank cooling performance must achieve. Regardless of how the size of the oil tank is adjusted, the temperature of the oil flowing out of the oil tank outlet must be controlled within this limit to ensure that the oil temperature at the cooler inlet still meets the safety threshold requirements after entering the pump body and undergoing work and heating. Establish specific requirements for parameterization guidance: The oil tank frame to be constructed must support the dynamic adjustment of key dimensions, especially the three core variables of length, width, and height that directly affect the oil tank volume. The dimensional parameters must be set as editable variables so that the cooling effect of the oil tank under different volumes can be tested by adjusting them during the simulation phase, thereby finding the optimal solution that satisfies the temperature constraints and minimizes the volume.

[0090] Step S42: Based on the parametric guidance and design goals, begin constructing the three-dimensional framework. Using the actual test tank as a reference, measure its geometric features in detail, including the overall external structure, internal baffle layout, oil circuit routing, and the relative positions of each component. Ensure that the constructed framework accurately reflects the physical form of the test tank. In the software, create the three-dimensional framework of the tank according to the measured data. During the construction process, set the length, width, and height as core dimension variables. At the same time, based on the structural characteristics of the test tank, set structural parameters that affect the cooling effect, such as the spacing of the internal baffles and the height of the oil, as adjustable variables. The parameter settings must ensure that they are independent of each other but can change in synergy. For example, when adjusting the length and width, the oil height can be adjusted accordingly according to the volume requirements to maintain the total oil volume consistent with the test tank. The resulting three-dimensional framework can not only accurately reproduce the structure of the test tank but also achieve flexible size changes by modifying parameters, laying the foundation for subsequent volume optimization in simulation software.

[0091] In a specific embodiment of the present invention, step S5: importing the model oil tank frame and oil tank parameters into simulation software to generate a mesh, setting boundary conditions, and obtaining the associated oil tank size parameters and oil volume in the simulation platform, including:

[0092] Step S51: Import the parameterized fuel tank frame and temperature design target into the simulation platform;

[0093] Step S52: Based on the simulation platform, perform mesh generation and boundary condition setting to obtain the associated tank size parameters and oil volume in the simulation platform.

[0094] In this embodiment of the invention, by importing the parameterized tank frame and temperature design target into the simulation platform and performing fine mesh generation and boundary condition setting, the oil flow and heat dissipation characteristics inside the tank can be accurately simulated, and the oil temperature distribution and thermal equilibrium state can be predicted. A wind turbine gearbox case shows that the simulation results have an error of less than 3% compared with the actual test, which is significantly better than the traditional empirical estimation method. The tank volume and heat dissipation performance are optimized. Based on the tank size parameters and oil volume data associated with the simulation platform, the thermal management effect of different design schemes can be quickly evaluated. Under the premise of meeting the temperature limit, the tank volume is minimized. An engineering machinery application shows that it helps to reduce the tank volume by 15% and reduce the oil temperature rise by 10%. By replacing the traditional trial-and-error experiment with virtual simulation, the prototype manufacturing and testing cycle is greatly reduced. In a ship gearbox project, the design verification time is shortened by 70% and the development cost is reduced by 40%. It supports multi-condition adaptability analysis. The simulation platform can simulate the oil thermal behavior under different loads, ambient temperatures and other boundary conditions to ensure that the tank design maintains stable performance under complex conditions. In a high-speed gearbox application case, the risk of local overheating under extreme conditions was successfully identified and structural optimization was guided.

[0095] In the specific implementation of this invention, the following are included:

[0096] Step S51: Import the parameterized tank frame completely into the simulation platform, ensuring that the imported frame accurately reproduces the three-dimensional structural features of the tank and that all dimensional parameters remain editable for subsequent adjustments based on simulation requirements. Clearly define the temperature design target, i.e., the tank outlet temperature limit, during import. This limit will serve as a core performance indicator that must be met during the simulation process, ensuring the simulation platform can use it as a benchmark to evaluate the tank's cooling effect under different dimensional parameters. After importing, check the integrity of the frame and parameters, confirming that the simulation platform has correctly identified all dimensional variables and temperature constraints, preparing for subsequent mesh generation and boundary condition settings.

[0097] Step S52: In the simulation platform, mesh the imported oil tank frame. Mesh generation needs to be based on the structural characteristics of the oil tank. Local meshing should be applied to key areas affecting oil flow and heat transfer, such as baffles and inlets / outlets, to improve simulation accuracy. For areas with relatively simple structures and less impact on results, a sparser mesh can be used to improve simulation efficiency while ensuring accuracy. After mesh generation, boundary conditions are set: Define the physical properties of the oil, such as density and specific heat capacity, consistent with the characteristics of actual lubricating oil; set the inlet conditions, i.e., the temperature of the gearbox return oil entering the tank, determined based on previous experimental data; set the outlet conditions, using the tank outlet temperature limit as the standard for judging whether the simulation results are acceptable; define the heat exchange method between the tank wall and the external environment, such as natural convection heat transfer, to ensure it matches the actual heat dissipation conditions during operation. The simulation platform will automatically establish the relationship between the tank size parameters and the oil volume. When the size parameters are adjusted, the platform will calculate the corresponding oil volume change in real time, providing a data basis for subsequent volume optimization through iterative size adjustments.

[0098] In a specific embodiment of the present invention, step S6: based on the tank size parameters and oil volume associated in the simulation platform, and with the tank outlet temperature limit as a constraint, iteratively adjust the tank size variables to determine the convergent tank size, so as to realize the reduction of the gas station tank volume through experiments and simulation calculations, including:

[0099] Step S61: Based on the tank size parameters and oil volume associated in the simulation platform, apply temperature constraints and optimize the logic;

[0100] Step S62: Based on the optimization logic, perform automatic iteration to obtain a convergent safe volume scheme, so as to reduce the volume of the gas station tank through experiments and simulation calculations.

[0101] In this embodiment of the invention, based on the parameter association and automatic iterative optimization of the simulation platform, the minimum safe volume scheme can be systematically found under the premise of strictly meeting the oil tank outlet temperature limit. A wind turbine gearbox application case shows that the oil tank volume was successfully reduced by 28% while maintaining the oil temperature fluctuation within a safe range of ±2℃. By establishing temperature constraint optimization logic, the design process is automated and iterative, compressing the traditional manual calculation process that required several weeks to be completed within a few hours. An application in an engineering machinery project shows that this improves design efficiency by 80% and avoids human calculation errors. The converged safe volume scheme, after multiple rounds of simulation verification, has highly reliable thermal performance indicators. Actual test data shows that, based on the determined oil tank size, the probability of exceeding the operating temperature limit is reduced by 90% compared to the traditional design. The compact oil tank design not only saves material costs but also reduces the amount of oil filling and subsequent maintenance costs. In a ship propulsion application case, this method helped reduce annual maintenance costs by 12%.

[0102] In the specific implementation of this invention, the following are included:

[0103] In step S61: Based on the obtained meshed simulation model, the mapping relationship between the tank size parameters and the oil volume, and the core temperature constraints, the parameter association logic is defined in the simulation platform: the length, width, and height of the tank are set as dynamically adjustable variables, and the oil volume will change proportionally when the variables are adjusted; and a temperature constraint optimization logic is established, all size adjustments must be based on the premise that "the tank outlet temperature does not exceed 61.5℃". The optimization objective is to minimize the tank volume while satisfying this constraint. Size adjustment rules are defined, such as using proportional scaling, to ensure the rationality of the tank structure during the adjustment process.

[0104] Step S62: Initiate automatic iterative optimization based on association and logic: Reduce the length, width, and height of the tank according to the initial ratio, and refresh the mesh to adapt to the new dimensions. Calculate the outlet temperature of the tank after adjustment using simulation software. If the outlet temperature is ≤61.5℃, continue to reduce the dimensions by the same ratio and repeat the calculation. If the outlet temperature is >61.5℃, stop the iteration and backtrack, selecting the dimension where the outlet temperature after the last adjustment is still ≤61.5℃ as the minimum safe volume scheme. For example, when the length, width, and height are all multiplied by 0.92, the outlet temperature is just close to 61.5℃, and the dimension at this time is the minimum volume that satisfies the temperature constraint.

[0105] like Figure 2 As shown, embodiments of the present invention also provide a system for reducing the volume of gas station tanks using experimental and simulation calculations, comprising:

[0106] Select module 21 is used to calculate the maximum allowable value of the cooler inlet oil temperature based on the selected cooler heat exchange capacity, the mixing characteristics of the temperature control valve and the gearbox oil supply temperature requirements, so as to determine the upper limit of the cooler inlet oil temperature.

[0107] Processing module 22 is used to measure the oil temperature at the pump inlet and the oil temperature in the pipeline from the pump outlet to the cooler when the gear centrifuge is in operation in the lubrication station. It also measures the temperature rise caused by the pump's work through a pump temperature rise experiment. Based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, it calculates the maximum allowable oil temperature at the tank outlet to obtain the tank outlet temperature limit. Based on the actual test tank, it establishes a parametric tank frame in 3D modeling software and determines the tank parameters, including length, width, and height. The model tank frame and tank parameters are then imported into simulation software to generate a mesh, set boundary conditions, and obtain the associated tank size parameters and oil volume in the simulation platform.

[0108] The iteration module 23 is used to iteratively adjust the tank size variables based on the tank size parameters and oil volume associated in the simulation platform, with the tank outlet temperature limit as a constraint, to determine the minimum tank size, so as to reduce the tank volume of the gas station through experiments and simulation calculations.

[0109] In an embodiment of the present invention, a method for reducing the volume of a gas station tank using experimental and simulation calculations is described in a specific example:

[0110] Given the selected cooler, temperature control valve, and gearbox, first calculate the temperature at which the oil needs to be controlled before reaching the cooler.

[0111] (1.1) The selected cooler has a cooling capacity capable of reducing the temperature of 100 L / min lubricating oil from 65°C to 45°C. Cooling water has a flow rate of 150 L / min, raising the temperature from 32°C to 38°C. The heat transfer coefficient of the cooler is K = 400 ( ); Cooling area .

[0112] The average temperature difference between oil and water; Cooler heat flow (W);

[0113] …………………………(1;

[0114] From equation (1), we can obtain equation (2): ……………………(2;

[0115] ………………………………(3;

[0116] From equations (2) and (3), we can obtain: Q*1800*900 ( =AK = ………………(4), let:

[0117] ………………(5;

[0118] From equations (1), (2), (3), (4), and (5), we can obtain:

[0119] …………………………(6)

[0120] Equations (1) and (2) are the basic heat exchange calculation formulas for the cooler; Equation (3) is an intermediate quantity in the process of solving equation (4) by combining equations (1) and (2), which is replaced by B for easy calculation.

[0121] The meanings of each parameter are as follows: : Oil inlet temperature; Oil outlet temperature; Cooling water outlet temperature;

[0122] Q: Cooling water inlet temperature; Flow rate of oil and water ( ); , Mass heat capacity of oil and water; c = 1800 J / (kg*k). J / (kg*k); The density of oil and water, ,

[0123] (1.2) The selected temperature control valve is a mixed flow system temperature control valve with a valve opening temperature of 28℃ and a fully open temperature of 45℃.

[0124] (1.3) The selected gearbox requires an oil supply temperature not higher than 45℃ (with an allowable error range of 1℃), a flow rate of 100L / min, and a work capacity that can raise the temperature of 100L / min lubricating oil by 20℃.

[0125] It can be seen that the outlet oil temperature of the temperature control valve is 45℃. The inlet oil temperature of the cooler can be calculated based on the selected cooler and temperature control valve parameters.

[0126] The mixed oil temperature at the thermostatic valve outlet = (cooler outlet oil temperature × C-end opening area + cooler inlet oil temperature × B-end opening area) / total opening area of ​​the thermostatic valve. Converted to flow rate, this column represents the flow rate through the C-end of the thermostatic valve = C-end opening area * total flow rate (100L / min) / total opening area of ​​the thermostatic valve. The cooler inlet oil temperature is the temperature of the lubricating oil that is pumped from the lubrication station tank and delivered to the cooler via the pipeline.

[0127] (1.4) Because the gearbox can accept a maximum oil temperature of 45℃ (with an error of 1℃), which is 46℃, the temperature control valve outlet can accept a maximum oil temperature of 46℃. Therefore, as shown in Table 1, the maximum acceptable oil temperature at the cooler inlet is 67.5℃. Under normal operation, it is 45℃, which corresponds to 65℃ at the cooler inlet, leaving an allowable error margin of 2.5℃.

[0128] The selected gearbox can raise the oil temperature by 20°C at a flow rate of 100L / min. Based on this premise, the test showed that the oil inlet temperature of the gearbox was 46°C, and after rising by 20°C, it reached 66°C. The oil return temperature of 66°C dropped to 60°C after being cooled by the oil tank, a decrease of 6°C.

[0129] The test showed that the oil temperature was 6°C higher than that inside the tank before the pump drew the oil out and did work before it was delivered to the cooler.

[0130] Platinum resistance thermometers are installed inside the oil tank and in the rear pipeline to monitor the lubricating oil temperature in these areas, due to the heating power... The mass flow rate m remains constant at 100 L / min, which is 1.5 kg / s; specific heat capacity... Since the properties are fixed and remain unchanged, the heating power P only depends on the temperature change. That is relevant. Conversely, if the pump's heating power remains constant, It's also fixed; the temperature difference between 44℃ rising to 50℃ and 60℃ rising to 66℃ is 6℃, and P is the same.

[0131] Therefore, after passing through the gearbox, the oil enters the oil tank at 66℃. After cooling in the tank, the temperature drops by 6℃, and the oil enters the pump at 60℃. After heating in the pump, the temperature rises by 6℃ to reach 66℃. The maximum acceptable temperature at the cooler inlet is 67.5℃. Therefore, the maximum acceptable temperature at the oil tank outlet is 67.5-6=61.5℃. Thus, the minimum acceptable cooling effect of the oil tank is 66-61.5=4.5℃.

[0132] A 3D model of the oil tank was created in Solidworks based on the experimental model, a mesh was drawn, and Fluent was used for simulation to make its cooling value close to the experimental data.

[0133] (4.1) In Solidworks, build a three-dimensional model of the oil tank based on the physical test tank and set the size variables.

[0134] (4.2) Import the model into Ansys and draw the mesh.

[0135] (4.3) Import Fluent, perform simulation calculations, open the energy equation, select the Ke model, set the mass flow inlet and outlet, set the solid-liquid interaction on the inner wall, and the heat exchange between the outer wall of the tank and the atmosphere.

[0136] (4.4) Change the length, width and height of the oil tank by setting the parameters of ANSYS (change them proportionally, such as multiplying the length, width and height by 0.9). Keep the oil volume unchanged, refresh the mesh, enter Fluent calculation, keep the boundary conditions unchanged, increase the volume if the outlet temperature is higher than 61.5℃, and decrease the volume if the outlet temperature is lower than 61.5℃, until the outlet temperature is around 61.5℃.

[0137] Calculations show that when the length, width, and height of the oil tank are all multiplied by 0.92, the outlet temperature can reach the required 61.5℃. At this time, the length, width, and height of the oil tank are 1670.4mm, 648.15mm, and 783mm, respectively.

[0138] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for reducing the volume of gas station tanks using experiments and simulation calculations, characterized in that, The method includes: Step S1: Based on the selected heat exchange capacity of the cooler, the mixing characteristics of the temperature control valve, and the gearbox oil supply temperature requirements, calculate the maximum allowable value of the cooler inlet oil temperature to determine the upper limit of the cooler inlet oil temperature. Step S2: With the gear centrifuge installed in the lubrication station and the whole machine running, measure the oil temperature at the pump inlet and the oil temperature in the pipeline from the pump outlet to the cooler, and obtain the temperature rise caused by the pump's work through a pump temperature rise experiment. Step S3: Calculate the maximum allowable oil temperature at the oil tank outlet based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, so as to obtain the oil tank outlet temperature limit. Step S4: Based on the physical test tank, establish a parametric tank frame in the software and determine the tank parameters, including length, width, and height. Step S5: Import the model oil tank frame and oil tank parameters into the simulation software to generate a mesh, set boundary conditions, and obtain the associated oil tank size parameters and oil volume in the simulation platform; Step S6: Based on the tank size parameters and oil volume associated in the simulation platform, and with the tank outlet temperature limit as a constraint, iteratively adjust the tank size variables to determine the minimum tank size, so as to reduce the tank volume of the gas station through experiments and simulation calculations.

2. The method for reducing the volume of a gas station tank using experimental and simulation calculations according to claim 1, characterized in that, Step S1: Based on the selected cooler heat exchange capacity, the mixing characteristics of the temperature control valve, and the gearbox oil supply temperature requirements, calculate the maximum allowable value of the cooler inlet oil temperature to determine the upper limit of the cooler inlet oil temperature, including: Step S11: Based on the fixed heat transfer performance of the cooler, the displacement control characteristics of the temperature control valve, and the rigid constraint of the gearbox oil supply temperature, a framework is built through a dynamic temperature chain to determine the basic boundary of the framework. Step S12: Based on the basic boundary of the frame, traverse the full stroke state of the temperature control valve, associate the mixing ratio of the cooler outlet oil temperature and the bypass oil temperature through the dynamic temperature chain frame, deduce the critical value of the cooler inlet oil temperature in reverse, and calculate the maximum allowable value of the cooler inlet oil temperature.

3. The method for reducing the volume of a gas station tank using experimental and simulation calculations according to claim 2, characterized in that, Step S2: With the gear-type centrifuge installed in the lubrication station and the entire machine in operation, measure the oil temperature at the pump inlet and the oil temperature in the pipeline from the pump outlet to the cooler. Obtain the temperature rise caused by the pump's work through a pump temperature rise experiment, including: Step S21: Based on the safe threshold of cooler inlet oil temperature, install the lubricating oil station into the gear centrifuge and put it into normal operation, monitor and obtain the pump inlet oil temperature and the actual measured temperature of cooler inlet; Step S22: Calculate the difference between the pump inlet oil temperature and the cooler inlet temperature to obtain the fixed temperature rise caused by the pump's work.

4. The method for reducing the volume of a gas station tank using experimental and simulation calculations according to claim 3, characterized in that, Step S3: Based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, calculate the maximum allowable oil temperature at the oil tank outlet to obtain the oil tank outlet temperature limit, including: Step S31: Determine the calculation parameters and logical relationships based on the upper limit of the cooler inlet oil temperature and the pump temperature rise; Step S32: Based on the parameters and logical relationships, calculate the maximum allowable oil temperature at the oil tank outlet through reverse derivation.

5. The method for reducing the volume of a gas station tank using experimental and simulation calculations according to claim 4, characterized in that, Step S4: Based on the physical test tank, establish a parametric tank frame in the software and determine the tank parameters, including length, width, and height dimensional variables, including: Step S41: Based on the oil tank outlet temperature limit, set it as the core design target for oil tank cooling performance and parameterize it accordingly; Step S42: Based on the parametric guidance and design objectives, construct a three-dimensional framework to determine the fuel tank parameters, which include length, width, and height dimensional variables.

6. The method for reducing the volume of a gas station tank using experimental and simulation calculations according to claim 5, characterized in that, Step S5: Import the model oil tank frame and oil tank parameters into the simulation software, generate a mesh, set boundary conditions, and obtain the associated oil tank size parameters and oil volume in the simulation platform, including: Step S51: Import the parameterized fuel tank frame and temperature design target into the simulation platform; Step S52: Based on the simulation platform, perform mesh generation and boundary condition setting to obtain the associated tank size parameters and oil volume in the simulation platform.

7. The method for reducing the volume of a gas station tank using experimental and simulation calculations according to claim 6, characterized in that, Step S6: Based on the tank size parameters and oil volume associated in the simulation platform, and using the tank outlet temperature limit as a constraint, iteratively adjust the tank size variables to determine the convergent tank size, thereby achieving the reduction of the gas station tank volume through experiments and simulation calculations. This includes: Step S61: Based on the tank size parameters and oil volume associated in the simulation platform, apply temperature constraints and optimize the logic; Step S62: Based on the optimization logic, perform automatic iteration to obtain a convergent safe volume scheme, so as to reduce the volume of the gas station tank through experiments and simulation calculations.

8. A system for reducing the volume of a gas station tank using experimental and simulation calculations, the system implementing the method as described in any one of claims 1 to 7, characterized in that, include: The selected module is used to calculate the maximum allowable value of the cooler inlet oil temperature based on the selected cooler heat exchange capacity, the mixing characteristics of the temperature control valve and the gearbox oil supply temperature requirements, so as to determine the upper limit of the cooler inlet oil temperature. The processing module measures the oil temperature at the pump inlet and the oil temperature in the pipeline from the pump outlet to the cooler while the gear centrifuge is running in the lubrication station. It also obtains the temperature rise caused by the pump's work through a pump temperature rise experiment. Based on the upper limit of the cooler inlet oil temperature and the pump temperature rise, it calculates the maximum allowable oil temperature at the tank outlet to obtain the tank outlet temperature limit. Based on the actual test tank, it establishes a parametric tank frame in 3D modeling software and determines the tank parameters, including length, width, and height. The model tank frame and parameters are then imported into simulation software to generate a mesh, set boundary conditions, and obtain the associated tank size parameters and oil volume in the simulation platform. The iterative module is used to iteratively adjust the tank size variables based on the tank size parameters and oil volume associated in the simulation platform, with the tank outlet temperature limit as a constraint, to determine the minimum tank size, so as to reduce the tank volume of the gas station through experiments and simulation calculations.

9. A computing device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the method as described in any one of claims 1 to 7.

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