A method for monitoring oil temperature of a motor oil sump

Abstract

The application discloses an oil temperature monitoring method for an oil sump of an oil-cooled motor, which comprises the following steps: firstly, a one-dimensional system model is constructed, which comprises an oil sump lumped parameter heat capacity model, an ideal volume pump model and an oil cooler heat exchange model; meanwhile, a three-dimensional fine motor model is constructed, which comprises a stator, a rotor and a winding; a two-way explicit cooperative simulation connection is established through a TCP / IP socket, and data exchange rules are configured; the one-dimensional model transmits real-time oil flow and temperature boundaries to the three-dimensional model, the three-dimensional model calculates oil heat absorption and shell heat dissipation according to the boundaries and feeds back to the one-dimensional model; in the one-dimensional model, based on the oil sump lumped parameter transient heat balance equation, the heat exchange data are iteratively updated to update the oil temperature of the oil sump. The application breaks through the simplification assumption of the fixed oil cooler oil outlet temperature in the traditional simulation, realizes the system-level monitoring of the dynamic change of the oil temperature in the oil circulation process, and significantly improves the temperature evaluation precision under all working conditions.

Description

Technical Field

[0001] This invention relates to the field of motor heat dissipation simulation technology, specifically to a method for monitoring the oil temperature of the oil pan of an oil-cooled motor suitable for new energy vehicle drive systems. Background Technology

[0002] Oil-cooled motors, with their advantages of high heat dissipation efficiency and low noise, have become the mainstream choice for drive systems in new energy vehicles. During the motor development phase, simulation methods are needed to evaluate the performance of the heat dissipation system to ensure that the motor temperature does not exceed limits under all operating conditions. In existing technologies, oil-cooled motor heat dissipation simulations typically employ a simplified assumption of "fixed oil cooler outlet temperature": that is, assuming the oil cooler outlet temperature is constant, and only calculating the temperature distribution of internal motor components (stator, rotor, windings, etc.) through three-dimensional simulation to evaluate heat dissipation performance.

[0003] However, the above method has significant drawbacks: In actual operation, the oil sprayed onto the motor components absorbs heat, causing the oil temperature to rise and fall back into the oil pan, where it then enters the oil cooler for cooling. If the oil temperature in the oil pan is too high, it will reduce the heat exchange temperature difference of the oil cooler, leading to an increase in the oil outlet temperature of the oil cooler. This creates a positive feedback loop of "increased oil temperature - decreased heat exchange efficiency - further increase in oil temperature," which may ultimately cause the motor to overheat and fail. Existing simulation methods do not consider the dynamic temperature changes during the oil circulation process and cannot accurately assess the impact of the oil temperature in the oil pan on the heat dissipation system. This may result in a large deviation between the temperature assessment during the R&D phase and the actual operating conditions, increasing the risk of product failure. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to overcome the shortcomings of the existing technology in which the heat dissipation simulation of oil-cooled motors assumes a fixed oil outlet temperature of the oil cooler, which cannot reflect the dynamic changes of oil temperature during the circulation process, thus resulting in a large deviation in temperature assessment. The present invention provides an oil temperature monitoring method for oil-cooled motors that can dynamically monitor the oil temperature in the oil pan at the system level.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is: a method for monitoring the oil temperature of an electric motor oil pan, comprising the following steps:

[0006] S1: Construct a one-dimensional simulation model of the motor cooling system. The one-dimensional simulation model includes at least an oil pan model, an oil pump model, an oil cooler model, and a three-dimensional coupling interface.

[0007] S2: Construct a three-dimensional simulation model of the motor components, wherein the three-dimensional simulation model includes at least the stator, rotor, windings and housing;

[0008] S3: Establish a collaborative simulation connection between the one-dimensional simulation model and the three-dimensional simulation model via the TCP / IP protocol, and configure data exchange rules;

[0009] S4: In the collaborative simulation process, the one-dimensional simulation model transmits oil parameters to the three-dimensional simulation model, and the three-dimensional simulation model transmits heat exchange parameters to the one-dimensional simulation model.

[0010] S5: Based on the heat balance calculation in the one-dimensional simulation model, the oil temperature in the oil pan is determined according to the heat exchange parameters.

[0011] Furthermore, the construction of the one-dimensional simulation model in step S1 specifically includes:

[0012] Define the physical properties of the cooling oil, including at least density ρ and specific heat capacity at constant pressure c. p Thermal conductivity and dynamic viscosity μ;

[0013] Constructing the oil pan model as a lumped-parameter volumetric heat capacity model: treating the oil inside the oil pan as a single, temperature-homogenized control volume, given the geometric volume V of the oil pan. sump And the initial oil filling volume, with oil temperature as a state variable;

[0014] The oil pump model is constructed as an ideal positive displacement thermohydraulic pump model: neglecting flow losses and mechanical losses, the pump's volumetric flow rate q lmin Determined solely by pump displacement (displ) and shaft speed (speed), satisfying the following:

[0015] q lmin= displ·speed;

[0016] And the upstream pressure p during pump forward / reverse switching is handled by a smooth transition factor fact. up With upstream temperature t up Value switching:

[0017] P up= fact·P1+(1-fact)·P2;

[0018] t up= fact·t1+(1-fact)·t2;

[0019] Wherein, P1 and P2 are the pressure reference values ​​before and after the switching, and t1 and t2 are the temperature reference values ​​before and after the switching;

[0020] The formula for calculating the smooth transition factor fact is as follows:

[0021]

[0022] Where w tgp This is the preset speed transition threshold.

[0023] Furthermore, the construction of the three-dimensional simulation model in step S2 specifically includes the following steps:

[0024] S21: Import the motor geometry model and perform geometric cleaning and repair on the stator, rotor, windings, magnets and bearings;

[0025] S22: Polyhedral meshes are used to discretize the fluid and solid domains of the motor, and local mesh refinement is performed on the stator winding ends and the rotor air gap region.

[0026] S23: Set physical boundary conditions, defining the mass flow rate, inlet temperature, and convective heat transfer coefficient of the outer surface of the shell for the oil inlet;

[0027] S24: Define monitoring parameters, selecting all component surfaces in contact with oil to monitor oil heat transfer Q. oil Select the component surface in contact with air to monitor the heat transfer Q of the housing air. air .

[0028] Further, the mass flow rate m at the oil inlet in step S23 in Volumetric flow rate ql transmitted by a one-dimensional simulation model min The conversion is as follows:

[0029] m in= ρ·l min ;

[0030] Where ρ is the density of the cooling oil.

[0031] Furthermore, configuring the data exchange rules in step S3 includes:

[0032] In the one-dimensional simulation model, a dynamic co-simulation socket unit is set up, defining an input port to receive heat exchange data from the three-dimensional model, and an output port to send oil flow and temperature data to the three-dimensional model.

[0033] In the 3D simulation model, the explicit coupling model is activated, and a co-simulation region is set to map the flow and pressure fields transmitted from one dimension to the 3D inlet boundary.

[0034] Furthermore, in step S5, the oil temperature in the oil pan is determined based on thermal balance calculations, using the following formula:

[0035] ;

[0036] in:

[0037] T sump Oil temperature in the oil pan;

[0038] T in The inlet temperature of the oil before it enters the motor;

[0039] Q oil The oil absorbs the heat generated by the motor components;

[0040] Q air This is the heat dissipated from the motor housing into the air;

[0041] m in This refers to the oil mass flow rate;

[0042] c p This refers to the specific heat capacity of the oil at constant pressure.

[0043] Furthermore, the data exchange in step S4 is performed using a field mapping method, specifically including:

[0044] In the 3D software, a predefined field is set up, and the single-value scalar flow and pressure data transmitted from the 1D simulation model are mapped to all mesh nodes of the 3D inlet boundary through an interpolation algorithm.

[0045] The total heat transfer at the coupling boundary calculated by the three-dimensional simulation model is extracted as a single-valued scalar and then fed back to the one-dimensional simulation model.

[0046] Furthermore, the timing control method for solving the co-simulation connection in step S4 is as follows:

[0047] Set the dynamic co-simulation socket unit in the one-dimensional simulation model as the server side and the three-dimensional simulation model as the client side;

[0048] The one-dimensional simulation model solver is started, and the solver enters a waiting state until the three-dimensional simulation model is started and the connection handshake is completed. Only then do the two parties begin to exchange data synchronously and perform calculations.

[0049] The advantages of this invention compared to the prior art are:

[0050] 1. System-level dynamic monitoring: Breaking through the simplistic assumption of a fixed oil outlet temperature, it considers the temperature change of the oil in the "oil pan-oil pump-oil cooler-motor-oil pan" circulation process, and realizes dynamic monitoring of the oil temperature in the oil pan;

[0051] 2. High accuracy of multiphysics coupling: The system-level oil flow and pressure distribution are simulated by a one-dimensional model, and the component-level convective heat transfer is accurately calculated by a three-dimensional model. The coupled simulation takes into account both computational efficiency and accuracy.

[0052] 3. Strong adaptability to working conditions: It can cover oil temperature monitoring under all motor working conditions (rated, peak, ramp, etc.), identify heat dissipation system bottlenecks in advance, and optimize oil cooler selection and oil passage design. Attached Figure Description

[0053] Figure 1 This is a schematic diagram of the state switching logic for fluid property calculation in the one-dimensional simulation model of this invention;

[0054] Figure 2This is a dynamic curve of heat flow monitored during the simulation operation of this invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0056] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," and "counterclockwise," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0057] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0058] This invention provides a specific implementation process for a method of monitoring the oil temperature in an electric motor oil pan. In this embodiment, a 377kW rated power oil-cooled motor for a new energy vehicle drive is used as an example, combined with the attached... Figures 1 to 2 To elaborate in detail.

[0059] S1: Construct a one-dimensional simulation model of the motor cooling system

[0060] First, a one-dimensional simulation model of the motor cooling system is built in a one-dimensional system simulation platform. This model is used to simulate the macroscopic circulation flow and energy transfer of the cooling oil.

[0061] Define the physical properties of the cooling oil: Define the physical properties of the cooling oil used (e.g., a certain type of PAO synthetic oil) in the thermal fluid library. To ensure that the oil properties used in the simulation are completely consistent with actual engineering applications, this embodiment directly uses the FUCHS BluEV EG EDF 4101 synthetic oil selected by a certain OEM's mass-produced vehicle, and models the oil in the simulation platform according to the measured physical properties of the oil across the entire temperature range. The relationship between the key physical properties of this oil and temperature is shown in the following table:

[0062]

[0063] The table above fully covers the entire operating temperature range of the motor, from -40℃ to 150℃, from extremely cold start-up to continuous peak operation. As shown in the table, the dynamic viscosity of this oil decreases exponentially with increasing temperature (from 2883.13 mPa·s at -40℃ to 1.62 mPa·s at 150℃), while the isobaric specific heat capacity increases slowly with increasing temperature. This characteristic directly determines the flow resistance and heat carrying capacity of the oil under different operating conditions.

[0064] Low temperature range (<0℃): High viscosity leads to high flow resistance, and pressure shock during start-up and shutdown needs to be suppressed in the oil pump model through a smooth transition factor fact;

[0065] High temperature range (>100℃): Although low viscosity is beneficial to flow, the oil film strength decreases. Therefore, it is necessary to strictly monitor the oil temperature in the oil pan through the co-simulation of this invention to avoid excessive oil temperature leading to lubrication failure.

[0066] The oil property model established based on the above measured data provides a high-precision physical basis for subsequent one-dimensional system simulation, enabling the simulation results to truly reflect the thermal performance of the oil-cooled motor in actual use.

[0067] Constructing an oil pan model: Selecting thermal volumetric elements to simulate the oil pan. Treating it as a lumped-parameter volumetric model, setting the geometric volume V. sump =1L, initial oil filling volume ratio is 80%, i.e. 0.8L. The initial temperature of the oil pan is set to ambient temperature 25℃.

[0068] Constructing the oil pump model: A hot hydraulic pump component is selected. It is assumed to be an ideal pump, neglecting internal leakage and mechanical friction losses. The pump displacement is set to displ = 7 ml / rev. The actual volumetric flow rate of the pump is q. lmin Determined by the motor shaft speed, the calculation formula is:

[0069] q lmin= displ·speed;

[0070] Where speed is the real-time rotational speed signal of the motor.

[0071] And the upstream pressure p during pump forward / reverse switching is handled by a smooth transition factor fact. up With upstream temperature t up Value switching:

[0072] P up= fact·P1+(1-fact)·P2;

[0073] t up=fact·t1+(1-fact)·t2;

[0074] Wherein, P1 and P2 are the pressure reference values ​​before and after the switching, and t1 and t2 are the temperature reference values ​​before and after the switching;

[0075] To handle the forward and reverse rotation of the motor, a smoothing transition factor `fact` is introduced to handle the switching of upstream pressure and temperature, ensuring solution convergence. The formula for calculating the factor `fact` is:

[0076] ;

[0077] In the formula, w tgp The preset speed transition threshold is 4000 rpm.

[0078] Construct an oil cooler model: Select a thermo-hydraulic pipeline model with heat exchange function, and set its heat dissipation power curve or heat exchange efficiency.

[0079] Set up a 3D coupling interface: Reserve an interface with 3D simulation in the model, namely a dynamic co-simulation socket unit, for subsequent data transmission and reception.

[0080] S2: Construct a 3D simulation model of the motor components

[0081] A detailed 3D model of the motor is created in a 3D fluid simulation tool to accurately calculate the heat exchange between the internal components of the motor and the cooling oil.

[0082] S21. Model Preprocessing: Import the motor CAD geometric model, including the stator core, stator windings, rotor core, permanent magnets, front and rear bearings, and housing. Perform geometric cleaning and repair on the model, removing unnecessary chamfers and small features.

[0083] S22. Mesh Generation: Polyhedral meshes are used to discretize the fluid and solid domains. To improve computational accuracy, the mesh is locally refined in the stator winding end spray area and the rotor air gap.

[0084] S23. Physical Model and Boundary Condition Settings: Select the "Implicit Unsteady State" solver, enable the "Energy Equation," and choose an implementable two-equation turbulence model. Activate the co-simulation interface. Set the oil inlet boundary condition to "Mass Flow Inlet," and this flow rate data will be transmitted in real time from the one-dimensional model in S1; set the outlet to a pressure outlet. For the outer surface of the shell in contact with air, set the convective heat transfer coefficient to 10 W / (m²·K), and use forced air cooling with a convective heat transfer coefficient of 10 W / (m²·K).

[0085] S24. Monitoring Parameter Definition: Set up temperature monitoring surfaces in the oil pan area. Select all component surfaces in contact with the oil to monitor the oil heat transfer Q. oilSelect the component surface in contact with air to monitor the heat transfer Q of the housing air. air .

[0086] S3: Establishing collaborative simulation connections and configuring data exchange rules

[0087] Establish real-time communication between the two models in S1 and S2 using the TCP / IP protocol, and configure the data mapping relationship.

[0088] Role assignment and interface configuration: Set the one-dimensional simulation model as the server and the three-dimensional simulation model as the client. In the one-dimensional simulation model, set up a dynamic co-simulation socket unit, define the input port to receive the heat exchange data from the three-dimensional model, and the output port to send oil flow and temperature data to the three-dimensional model.

[0089] Data mapping rules:

[0090] One-dimensional to three-dimensional: The one-dimensional simulation model calculates the oil volumetric flow rate q lmin and inlet temperature T in The data is sent to the 3D simulation model. In the 3D software, the received flow rate is converted into mass flow rate m using a "field function". in= ρ·l min And assign the value to the entry boundary.

[0091] 3D to 1D: The 3D simulation model calculates the total heat Q absorbed by the oil. oil The heat Q lost from the casing to the air air (All are single-valued scalars) are fed back to the one-dimensional simulation model.

[0092] Solving for timing control: Set the coupling time step between the two to 0.01s. Set the dynamic co-simulation socket unit in the one-dimensional simulation model to a listening state.

[0093] Furthermore, to improve the adaptability of the one-dimensional simulation model during motor start-up, shutdown, and speed change processes, the one-dimensional simulation model constructed in S1 of this application integrates nonlinear smooth switching logic based on a state machine. For example... Figure 1As shown in the diagram, the logic diagram details how the model uses mathematical functions to handle the calculation of physical properties across different speed ranges. Specifically, the model introduces a smooth transition function, setting a switching interval centered at speed 0 with a transition zone of ±10 rev / min. On the low-speed side (X < -10 rev / min), the coefficient fact is 0, and the model relies entirely on the pressure at port 2 to calculate fluid properties; on the high-speed side (X > 10 rev / min), the coefficient fact is 1, and the model switches to the pressure reference at port 1 for calculation. Within the intermediate transition zone, the coefficient changes smoothly, effectively avoiding the abrupt changes at critical points in traditional logic and ensuring the continuity and stability of hydraulic parameters throughout the simulation.

[0094] S4: Performing Co-simulation and Data Interaction

[0095] Start the solver and perform bidirectional data exchange.

[0096] Startup sequence: First, start the one-dimensional simulation model solver, and the solver enters a waiting state; then start the three-dimensional simulation model solver, and the two sides complete the handshake connection.

[0097] Data exchange process: Within each coupled time step, the one-dimensional simulation model transmits the current oil parameters (flow rate, temperature) to the three-dimensional simulation model; after receiving the parameters, the three-dimensional simulation model uses them as boundary conditions to calculate the heat transfer parameters (Q) at the current moment. oil Q air And feed it back to the one-dimensional simulation model.

[0098] S5: Determine the oil temperature in the oil pan based on thermal balance calculations.

[0099] The one-dimensional simulation model receives the heat exchange parameters transmitted from S4 and updates the oil pan status.

[0100] Thermal balance calculation: The oil temperature inside the oil pan is updated based on the thermal balance equation of the oil pan. The core formula is:

[0101] ;

[0102] Among them, T sump T represents the oil temperature in the oil pan. in Q is the inlet temperature of the oil before it enters the motor. oil The oil absorbs the heat generated by the motor components; Q air The heat dissipated from the motor housing into the air; m in c is the oil mass flow rate; p This refers to the specific heat capacity of the oil at constant pressure.

[0103] To visually verify the effectiveness of the collaborative simulation system constructed in this invention, a transient temperature rise simulation test lasting 240 seconds was conducted on the method of this application. Figure 2 The simulation demonstrates the dynamic heat flow curves monitored during operation. The yellow curve, representing "Hot Oil Monitor 2," clearly depicts the heat absorption dynamics of the oil: in the initial stage (0-50 seconds), the oil, as the primary heat-absorbing medium, exhibits a sharp upward trend in absorbed heat flow; as the system gradually reaches thermal equilibrium, the slope of this curve gradually decreases, eventually leveling off after approximately 150 seconds. In contrast, the blue curve, representing "Hot Air Monitor 2," remains essentially near zero throughout the process, indicating that under the current operating conditions, the heat loss from the motor casing to the surrounding air is minimal, and the system's heat accumulation is primarily concentrated within the oil. These two sets of data perfectly confirm that the dynamic thermal balance model established in this application—"motor heat generation - strong oil heat absorption - weak casing heat dissipation"—is consistent with actual physical processes, thus powerfully demonstrating that this invention can accurately capture the true thermal state of the motor under extreme operating conditions.

[0104] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for monitoring the oil temperature in an electric motor oil pan, characterized in that, Includes the following steps: S1: Construct a one-dimensional simulation model of the motor cooling system. The one-dimensional simulation model includes at least an oil pan model, an oil pump model, an oil cooler model, and a three-dimensional coupling interface. S2: Construct a three-dimensional simulation model of the motor components, wherein the three-dimensional simulation model includes at least the stator, rotor, windings and housing; S3: Establish a collaborative simulation connection between the one-dimensional simulation model and the three-dimensional simulation model via the TCP / IP protocol, and configure data exchange rules; S4: In the collaborative simulation process, the one-dimensional simulation model transmits oil parameters to the three-dimensional simulation model, and the three-dimensional simulation model transmits heat exchange parameters to the one-dimensional simulation model. S5: Based on the heat balance calculation in the one-dimensional simulation model, the oil temperature in the oil pan is determined according to the heat exchange parameters.

2. The method according to claim 1, characterized in that, Step S1, which involves constructing a one-dimensional simulation model, specifically includes: Define the physical properties of the cooling oil, including at least density ρ and specific heat capacity at constant pressure c. p Thermal conductivity and dynamic viscosity μ; Constructing the oil pan model as a lumped-parameter volumetric heat capacity model: treating the oil inside the oil pan as a single, temperature-homogenized control volume, given the geometric volume V of the oil pan. sump And the initial oil filling volume, with oil temperature as a state variable; The oil pump model is constructed as an ideal positive displacement thermohydraulic pump model: neglecting flow losses and mechanical losses, the pump's volumetric flow rate q lmin Determined solely by pump displacement (displ) and shaft speed (speed), satisfying the following: q lmin= displ·speed; And the upstream pressure p during pump forward / reverse switching is handled by a smooth transition factor fact. up With upstream temperature t up Value switching: P up= fact·P1+(1-fact)·P2; t up= fact·t1+(1-fact)·t2; Wherein, P1 and P2 are the pressure reference values ​​before and after the switching, and t1 and t2 are the temperature reference values ​​before and after the switching; The formula for calculating the smooth transition factor fact is as follows: ； Where w tgp This is the preset speed transition threshold.

3. The method according to claim 1, characterized in that, Step S2, which involves constructing a 3D simulation model, specifically includes the following steps: S21: Import the motor geometry model and perform geometric cleaning and repair on the stator, rotor, windings, magnets and bearings; S22: Polyhedral meshes are used to discretize the fluid and solid domains of the motor, and local mesh refinement is performed on the stator winding ends and the rotor air gap region. S23: Set physical boundary conditions, defining the mass flow rate, inlet temperature, and convective heat transfer coefficient of the outer surface of the shell for the oil inlet; S24: Define monitoring parameters, selecting all component surfaces in contact with oil to monitor oil heat transfer Q. oil Select the component surface in contact with air to monitor the heat transfer Q of the housing air. air .

4. The method according to claim 3, characterized in that, The mass flow rate m of the oil inlet in step S23 in Volumetric flow rate ql transmitted by a one-dimensional simulation model min The conversion is as follows: m in= p·l min ; Where ρ is the density of the cooling oil.

5. The method according to claim 1, characterized in that, The data exchange rules configured in step S3 include: In the one-dimensional simulation model, a dynamic co-simulation socket unit is set up, defining an input port to receive heat exchange data from the three-dimensional model, and an output port to send oil flow and temperature data to the three-dimensional model. In the 3D simulation model, the explicit coupling model is activated, and a co-simulation region is set to map the flow and pressure fields transmitted from one dimension to the 3D inlet boundary.

6. The method according to claim 1, characterized in that, In step S5, the oil temperature in the oil pan is determined based on thermal balance calculations. The specific formula is as follows: ； in: T sump Oil temperature in the oil pan; T in The inlet temperature of the oil before it enters the motor; Q oil The oil absorbs the heat generated by the motor components; Q air This is the heat dissipated from the motor housing into the air; m in This refers to the oil mass flow rate; c p This refers to the specific heat capacity of the oil at constant pressure.

7. The method according to claim 1, characterized in that, The data exchange in step S4 is performed using a field mapping method, specifically including: In the 3D software, a predefined field is set up, and the single-value scalar flow and pressure data transmitted from the 1D simulation model are mapped to all mesh nodes of the 3D inlet boundary through an interpolation algorithm. The total heat transfer at the coupling boundary calculated by the three-dimensional simulation model is extracted as a single-valued scalar and then fed back to the one-dimensional simulation model.

8. The method according to claim 1, characterized in that, The timing control method for solving the co-simulation connection in step S4 is as follows: Set the dynamic co-simulation socket unit in the one-dimensional simulation model as the server side and the three-dimensional simulation model as the client side; The one-dimensional simulation model solver is started, and the solver enters a waiting state until the three-dimensional simulation model is started and the connection handshake is completed. Only then do the two parties begin to exchange data synchronously and perform calculations.

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