New energy automobile battery pack multi-node cooling system simulation method based on AMEsim software

Abstract

The invention relates to the field of analogue simulation, in particular to a new energy automobile battery pack multi-node cooling system simulation method based on AMEsim software, which comprises a compressor module, a condenser module, a thermal expansion valve module, a battery cooler module, a cold plate module, a water pump module, a battery pack module and the like. AMEsim software of the 202304 version is adopted, a new energy automobile battery pack multi-node cooling system model is built according to an existing module library of the software, so that multi-node one-dimensional simulation of the new energy automobile battery pack cooling system is achieved, and through analogue simulation of the model, a new energy automobile battery pack cooling system is obtained. The operation conditions of the refrigeration system at different moments and the temperature distribution condition of battery cells of the battery pack can be accurately obtained, and environment parameters and equipment parameters can be changed according to requirements, so that work such as system performance judgment and equipment type selection judgment can be carried out, and compared with actual experiments, the required cost can be greatly reduced. Through the design of the invention, a new thought is provided for optimization of one-dimensional simulation of the new energy automobile battery thermal management system.

Description

Technical Field

[0001] The present invention relates to the field of heat transfer, and in particular to a simulation method for a multi-node cooling system of a battery pack of a new energy vehicle based on AMEsim software. Background Art

[0002] New energy vehicles face problems such as short driving range and slow charging. There are usually two solutions: one is to increase the battery capacity, but it will increase the cost of the whole vehicle; the other is to use fast charging technology, which not only solves the problem of slow charging, but also improves the utilization rate of charging piles. Fast charging of new energy vehicles will inevitably cause the battery temperature to rise rapidly in a short period of time. When the temperature reaches the critical value, it will increase the safety risk of people and vehicles. Cooling the battery through a battery cooler (Chiller) can effectively reduce the occurrence of such phenomena. AMEsim software is a multi-science system simulation platform that can be used for simulation in multiple fields such as thermodynamics, fluid, and electronics and electrical. In the field of thermodynamics, the one-dimensional simulation of the thermal management system can be realized by AMEsim software to simulate the system operation of the thermal management system under different working conditions. At present, there is no multi-node cooling model for batteries in the existing model database of AMEsim software, and there is no corresponding system simulation channel. If the multi-node cooling model of the battery pack can be built and the simulation test can be realized, it will play a positive role in the optimization of the one-dimensional simulation of the thermal management system. Summary of the invention

[0003] The purpose of the present invention is to provide a simulation method for a multi-node cooling system of a new energy vehicle battery pack based on AMEsim software. By using the 202304 version of AMEsim software, a multi-node cooling system for a new energy vehicle battery pack is constructed based on an existing database, and a one-dimensional simulation of the multi-node cooling system of the battery pack can be realized. The multi-node cooling system of the battery pack can be simulated by the model, and the operating conditions of the refrigeration system at different times and the temperature distribution of the battery pack cells can be accurately obtained. Environmental parameters and equipment parameters can be changed as needed, thereby determining system performance and equipment selection. Compared with actual experiments, the required cost can be greatly reduced.

[0004] In order to achieve the above-mentioned purpose, an embodiment of the present invention provides a simulation method model of a multi-node cooling system of a new energy vehicle battery pack based on AMEsim software, including a compressor module, a condenser module, a thermal expansion valve module, a battery cooler (Chiller) module, a cold plate module, a water pump module, a battery pack module, a fan module, a speed signal control module, a heat generation signal control module, an overheat sensor module, a parameter setting module, a pressure sensor module, a temperature sensor module, a supercooling sensor module, a flow channel module, a flow sensor module, a thermal conductive glue module and a component sub-model setting module; The condenser module comprises a first condenser module, a second condenser module, a third condenser module, and a fourth condenser module; The battery cooler (Chiller) module includes a first battery cooler (Chiller) module and a second battery cooler (Chiller) module; The cold plate module comprises a first cold plate module, a second cold plate module, a third cold plate module, a fourth cold plate module, ... ...a hundred and eighty cold plate module; The battery pack module includes a first battery cell module, a second battery cell module, a third battery cell module, a fourth battery cell module, ... ...a hundred and eightieth battery cell module; The parameter setting module includes a solid parameter setting module, a refrigerant parameter setting module, and a cooling water parameter setting module; The flow channel pipeline module includes a first flow channel pipeline on the refrigeration system side, a second flow channel pipeline on the refrigeration system side, a third flow channel pipeline on the refrigeration system side, a first flow channel pipeline on the cooling water side, a second flow channel pipeline on the cooling water side, a third flow channel pipeline on the cooling water side, a fourth flow channel pipeline on the cooling water side, a fifth flow channel pipeline on the cooling water side, a sixth flow channel pipeline on the cooling water side, a seventh flow channel pipeline on the cooling water side, an eighth flow channel pipeline on the cooling water side, a ninth flow channel pipeline on the cooling water side, a tenth flow channel pipeline on the cooling water side, and an eleventh flow channel pipeline on the cooling water side. the twelfth flow channel pipeline on the cooling water side, the thirteenth flow channel pipeline on the cooling water side, the fourteenth flow channel pipeline on the cooling water side, the fifteenth flow channel pipeline on the cooling water side, the sixteenth flow channel pipeline on the cooling water side, the seventeenth flow channel pipeline on the cooling water side, the eighteenth flow channel pipeline on the cooling water side, the nineteenth flow channel pipeline on the cooling water side, the twentieth flow channel pipeline on the cooling water side, the twenty-first flow channel pipeline on the cooling water side, the twenty-second flow channel pipeline on the cooling water side, the twenty-third flow channel pipeline on the cooling water side, and the twenty-fourth flow channel pipeline on the cooling water side; The thermal conductive adhesive module includes a first thermal conductive adhesive module, a second thermal conductive adhesive module, a third thermal conductive adhesive module, a fourth thermal conductive adhesive module, ... ...a hundred and eightieth thermal conductive adhesive module; The process of the multi-node cooling system simulation method of the new energy vehicle battery pack combined with AMEsim software is as follows: 1) Draw a one-dimensional model of the multi-node cooling system of new energy vehicle batteries through the software sketch interface, check and connect the completed one-dimensional model, and enter the second sub-model selection interface; 2) In the sub-model selection interface, perform sub-model selection for all components used to build a multi-node model, select the appropriate sub-model so that the system can run correctly and enter the parameter setting interface; 3) Set the mass and heat capacity of all components in accordance with the design through the parameter interface, as well as the input control parameters of the compressor and water pump signals; 4) In the simulation calculation interface, complete the setting of operating conditions and sampling time according to the model, and perform simulation calculation; 5) After the calculation is completed, enter the model and generate different parameter data by dragging the parameters corresponding to the cell nodes to determine the relevant battery pack temperature and the operating results of the cooling system; 6) Organize and analyze the multi-node data of the battery pack to obtain the temperature distribution of each node inside the battery pack when the battery pack is fast charged and heated, as well as various parameters on the refrigerant side and the cooling water side, for research on thermal management of electric vehicle batteries.

[0005] Preferably, the one-dimensional simulation software used in the present invention is AMEsim.

[0006] Preferably, data coverage issues caused by different simulation conditions are all handled in the AMEsim software, and the signal input and control in the software can be operated through the image editing provided by the software.

[0007] Preferably, by dividing the large battery pack into multiple nodes and performing cell stratification, the heat distribution inside the battery pack can be studied more conveniently and accurately.

[0008] Preferably, the time span for simulation calculation can be 100s, 1000s, or 10000s, and the sampling time interval can also be determined according to research requirements.

[0009] The present invention discloses a simulation method for a multi-node cooling system of a battery pack of a new energy vehicle based on AMEsim software. The AMEsim software of version 202304 is used to build a multi-node cooling system model of a battery pack of a new energy vehicle according to the existing module library of the software, thereby realizing a one-dimensional simulation of multiple nodes of a battery pack cooling system of a new energy vehicle. Through the simulation of the model, the operating conditions of the refrigeration system at different times and the temperature distribution of the battery pack core can be accurately obtained, and environmental parameters and equipment parameters can be changed according to requirements, thereby determining the system performance and the equipment selection, etc. Compared with performing actual experiments, the required cost can be greatly reduced. Through the design of the present invention, a new idea is provided for the optimization of the one-dimensional simulation of the thermal management system of a battery of a new energy vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1The system diagram of the simulation method model of the multi-node cooling system of the battery pack of a new energy vehicle based on the AMEsim software of the present invention includes 1. a compressor module, 2. a condenser module, 3. a thermal expansion valve module, 4. a battery cooler (Chiller) module, 5. a cold plate module, 6. a water pump module, 7. a battery pack module, 8. a fan module, 9. a speed signal control module, 10. a heating signal control module, 11. a superheat sensor module, 12. a parameter setting module, 13. a pressure sensor module, 14. a temperature sensor module, 15. a supercooling sensor module, 16. a flow channel pipeline module, 17. a flow sensor module, 18. a thermal conductive adhesive module and 19. a component sub-model setting module.

[0011] Figure 2 A multi-node diagram of a battery pack of a multi-node cooling system simulation method model of a new energy vehicle battery pack of the AMEsim software of the present invention includes a cold plate module including a first cold plate module, a second cold plate module, a third cold plate module, a fourth cold plate module, ... ...a hundred and eighty cold plate module; a battery pack module includes a first battery cell module, a second battery cell module, a third battery cell module, a fourth battery cell module, ... ...a hundred and eighty battery cell module; a thermal conductive adhesive module includes a first thermal conductive adhesive module, a second thermal conductive adhesive module, a third thermal conductive adhesive module, a fourth thermal conductive adhesive module, ... ...a hundred and eighty thermal conductive adhesive module.

[0012] Figure 3 It is a schematic diagram of the temperature distribution of the battery cell stratification when the running time of the multi-node cooling system simulation method of the new energy vehicle battery pack of the AMEsim software of the present invention is 1000s.

[0013] Figure 4 It is a schematic diagram of the temperature distribution of the battery cell stratification when the running time of the multi-node cooling system simulation method of the new energy vehicle battery pack of the AMEsim software of the present invention is 4000s.

[0014] Figure 5 This is a schematic diagram of the heat exchange distribution of the battery cooler (Chiller) when the running time of the new energy vehicle battery pack multi-node cooling system simulation method of the AMEsim software of the present invention is 4000s. DETAILED DESCRIPTION

[0015] The following describes the implementation of the present invention in detail by taking specific embodiments as examples in conjunction with the accompanying drawings.

[0016] At 2C+1C charging rate, SOC increases from the initial value of 20%~30% to 70%~80% during fast charging; total capacity of battery pack is 60kwh, mass is 500kg, average specific heat capacity is 1kJ / (kg*K); lithium iron phosphate square cell, single cell 3.2V, 105Ah; length, width and height 240mm*56mm*100mm, 2 parallel and 6 series connection, thermal conductivity 10w / (m*K), density 1850kg / m 3 , specific heat capacity 1000kJ / (kg*K), thermal conductivity area 2.42m 2 ; Cold plate convection heat transfer coefficient 1200w / (m 2 *K), with a mass of 30kg, a thickness of 30mm, a pipe diameter of 25mm in the cold plate, and a heat exchange area of ​​2.75m 2 (The thermal resistance inside the cold plate is negligible); the thickness of the thermal conductive adhesive is 2mm, the mass is 13.88kg, and the density is 2700kg / m 3 , thermal conductivity 1w / (m*K), thermal conductivity area 2.57m 2 ; Assuming the cold plate KA is 0.33kw / K, the cooling measures should be taken separately in the 2C+1C case to ensure that the final battery pack temperature does not exceed the upper limit T after charging. max (Assuming 42℃), and control the input cooling capacity not to exceed the expected maximum valueØ max (Assuming 4kw).

[0017] like Figure 1 As shown, it is a system diagram of the simulation method model of the multi-node cooling system of the new energy vehicle battery pack based on the AMEsim software of the present invention, including 1. compressor module, 2. condenser module, 3. thermal expansion valve module, 4. battery cooler (Chiller) module, 5. cold plate module, 6. water pump module, 7. battery pack module, 8. fan module, 9. speed signal control module, 10. heat generation signal control module, 11. overheat sensor module, 12. parameter setting module, 13. pressure sensor module, 14. temperature sensor module, 15. supercooling sensor module, 16. flow channel module, 17. flow sensor module, 18. thermal conductive glue module and 19. component sub-model setting module; the indirect cooling system of the battery pack is constructed: from compressor → condenser → thermal expansion valve → battery cooler (Chiller) → water pump → cold plate → battery cell heat generation.

[0018] The process of the simulation method of the multi-node cooling system of the new energy vehicle battery pack based on AMEsim software is as follows: 1) Double-click the AMESIM icon on the computer desktop to open the AMESIM software. Click the Save as option in the File menu, edit the file name, save it as the current system, and start building the main program after saving the file. SKETCH, SUBMODL, PARAMETER, and SIMULATION are the four steps for our program writing. Library tree is the panel for our control selection. Click the Sketch option, select the category path list, and select the solution column on the available categories side. Find the options containing Thermal Management solution and Two-Phase FlowSolution, click to select them, and then click add to complete the addition of the library.

[0019] 2) First, select the thermal properties control in the Thermal library. This control is used to define the materials involved in heat exchange. The software requires a total of four thermal properties controls, which are used to define the material of the battery, the material of the evaporator, the material of the condenser, the material of the cold plate, and the material of the thermal grease. Drag this control four times to the blank space on the left and select the thermal mass (capacity) control. This control is used to express the thermal capacity of the battery and participate in the thermal simulation. This battery simulation software divides the battery into 4 small sections from top to bottom, which requires 180 thermal capacity modules. Similarly, drag and drop them to the blank space on the left and arrange them in a row, and select the conductive exchange control. This control indicates that the thermal capacity blocks connected at both ends have undergone conductive heat exchange. A total of 3 are required, and they are placed between the thermal capacity blocks in turn and connected to the thermal capacity blocks. There are two ways to connect the controls: ① Bring the two controls close to each other, and release the left mouse button when a small green block appears on the port to successfully connect; ② Click the placed control, and a number will appear on the port. Click the number to display a movable connection line to connect it to the port of another control. Select the thermal plug control. This control means that the port connected to it does not have any heat exchange. A total of 180 are needed. Connect them to the thermal block. Select the SIGUDA01 - interpolate1D or XY table with respect to time control in the Signal and Control library. This control is a signal control. The subsequent programming of the heat output, the speed of the compressor, and the speed of the water pump all rely on it to output signals to the control. A total of 180 are needed. Connect them to the thermal block. At this point, the battery part is completed.

[0020] 3) Click SUBMODEL on the right side of SKETCH to enter the submodel setting page. Click premiersubmodel (default submodel) in the lower left corner to set a default submodel for all controls. Select the submodel of the three-way valve control. The 1, 2, and 3 after the submodel code represent which port is the main pipe. You can choose according to your own model.

[0021] 4) Click Table Editor in the upper right corner, and select Table Operation, Change table format in the page that opens. Click apply in the pop-up page. A total of four columns are required, providing time, compressor signal, water pump signal and battery cell heat generation. Return to home, click add to select column, and you can add a column. Finally, return to the program diagram, in parameter mode, click the signal control, taking the compressor signal control as an example, first load the path of the signal file you saved in name of ASCII file, column of use for time is the column that you want to represent time, and column of use for u is a column of frequencies corresponding to time, which can be set according to the signal file requirements.

[0022] 5) Click simulation to enter the simulation page, and click Run Parameters in the upper left corner to enter the simulation settings interface. In Simulation settings, the difference between Start time and Final time represents the time the program runs, and ensure that it is greater than the time set in the signal file. Number of points represents the number of data points you want to obtain. Click Run Simulation on the right side of RunParameters to start the simulation. After the simulation is completed, click the control to see the simulation results on the lower right side. Click the data and drag it to a blank area on the screen to generate a curve chart during the simulation.

[0023] like Figure 2 As shown, the 180-cell node structure diagram of the multi-node cooling system simulation method for new energy vehicle battery packs based on AMEsim software.

[0024] Figure 3 This is a schematic diagram of the temperature distribution of the cell stratification when the running time of the multi-node cooling system simulation method of the new energy vehicle battery pack of the AMEsim software of the present invention is 1000s. After the software is built, normal simulation is performed and relevant 1000s parameters can be checked.

[0025] Figure 4This is a schematic diagram of the temperature distribution of the cell stratification when the running time of the multi-node cooling system simulation method of the new energy vehicle battery pack of the AMEsim software of the present invention is 4000s. After the software is built, normal simulation is performed and relevant 4000s parameters can be checked.

[0026] Figure 5 This is a schematic diagram of the heat exchange distribution of the battery cooler (Chiller) when the running time of the new energy vehicle battery pack multi-node cooling system simulation method of the AMEsim software of the present invention is 4000s. After the software is built, normal simulation is performed and relevant 4000s parameters can be checked.

[0027] The above embodiments are merely illustrative of the design principles and uses of the present invention, and are not intended to limit the present invention. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by those with ordinary knowledge in the technical field without departing from the spirit and technical ideas disclosed by the present invention should still be covered by the claims of the present invention.

Claims

1. A simulation method for multi-node cooling system of new energy vehicle battery pack based on AMEsim software, characterized by: The simulation method model of the multi-node cooling system of the battery pack of a new energy vehicle based on AMEsim software comprises a compressor module (1), a condenser module (2), a thermal expansion valve module (3), a battery cooler (Chiller) module (4), a cold plate module (5), a water pump module (6), a battery pack module (7), a fan module (8), a speed signal control module (9), a heat generation signal control module (10), an overheat sensor module (11), a parameter setting module (12), a pressure sensor module (13), a temperature sensor module (14), a supercooling sensor module (15), a flow channel module (16), a flow sensor module (17), a thermal conductive glue module (18) and a component sub-model setting module (19); The condenser modules include a first condenser module (2.1), a second condenser module (2.2), a third condenser module (2.3), and a fourth condenser module (2.4); The battery cooler (Chiller) module comprises a first battery cooler (Chiller) module (4.1) and a second battery cooler (Chiller) module (4.2); The cold plate module comprises a first cold plate module (5.1), a second cold plate module (5.2), a third cold plate module (5.3), a fourth cold plate module (5.4), ... ...a hundred and eightieth cold plate module (5.180); The battery pack module comprises a first battery cell module (7.1), a second battery cell module (7.2), a third battery cell module (7.3), a fourth battery cell module (7.4), ... ...a hundred and eightieth battery cell module (7.180); The parameter setting module comprises a solid parameter setting module (12.1), a refrigerant parameter setting module (12.2), and a cooling water parameter setting module (12.3); The flow channel pipeline module comprises a first flow channel pipeline (16.1) on the refrigeration system side, a second flow channel pipeline (16.2) on the refrigeration system side, a third flow channel pipeline (16.3) on the refrigeration system side, a first flow channel pipeline (16.4) on the cooling water side, a second flow channel pipeline (16.5) on the cooling water side, a third flow channel pipeline (16.6) on the cooling water side, a fourth flow channel pipeline (16.7) on the cooling water side, a fifth flow channel pipeline (16.8) on the cooling water side, a sixth flow channel pipeline (16.9) on the cooling water side, a seventh flow channel pipeline (16.10) on the cooling water side, an eighth flow channel pipeline (16.11) on the cooling water side, a ninth flow channel pipeline (16.12) on the cooling water side, a tenth flow channel pipeline (16.13) on the cooling water side, and an eleventh flow channel pipeline (16.14) on the cooling water side. 4), the twelfth flow channel pipeline on the cooling water side (16.15), the thirteenth flow channel pipeline on the cooling water side (16.16), the fourteenth flow channel pipeline on the cooling water side (16.17), the fifteenth flow channel pipeline on the cooling water side (16.18), the sixteenth flow channel pipeline on the cooling water side (16.19), the seventeenth flow channel pipeline on the cooling water side (16.20), the eighteenth flow channel pipeline on the cooling water side (16.21), the nineteenth flow channel pipeline on the cooling water side (16.22), the twentieth flow channel pipeline on the cooling water side (16.23), the twenty-first flow channel pipeline on the cooling water side (16.24), the twenty-second flow channel pipeline on the cooling water side (16.25), the twenty-third flow channel pipeline on the cooling water side (16.26), and the twenty-fourth flow channel pipeline on the cooling water side (16.27); The thermal conductive adhesive module comprises a first thermal conductive adhesive module (18.1), a second thermal conductive adhesive module (18.2), a third thermal conductive adhesive module (18.3), a fourth thermal conductive adhesive module (18.4), ... ...a hundred and eightieth thermal conductive adhesive module (18.180); The process of the multi-node cooling system simulation method of the new energy vehicle battery pack combined with AMEsim software is as follows: 1) Draw a one-dimensional model of the multi-node cooling system of new energy vehicle batteries through the software sketch interface, check and connect the completed one-dimensional model, and enter the second sub-model selection interface; 2) In the sub-model selection interface, perform sub-model selection for all components used to build a multi-node model, select the appropriate sub-model so that the system can run correctly and enter the parameter setting interface; 3) Set the mass and heat capacity of all components in accordance with the design through the parameter interface, as well as the input control parameters of the compressor and water pump signals; 4) In the simulation calculation interface, complete the setting of operating conditions and sampling time according to the model, and perform simulation calculation; 5) After the calculation is completed, enter the model and generate different parameter data by dragging the parameters corresponding to the cell nodes to determine the relevant battery pack temperature and the operating results of the cooling system; 6) Organize and analyze the multi-node data of the battery pack to obtain the temperature distribution of each node inside the battery pack when the battery pack is fast charged and heated, as well as various parameters on the refrigerant side and the cooling water side, for research on thermal management of electric vehicle batteries.

2. The multi-node cooling system simulation method for a new energy vehicle battery pack in combination with AMEsim software according to claim 1 is characterized in that: The one-dimensional simulation software used in the present invention is AMEsim.

3. The multi-node cooling system simulation method for a new energy vehicle battery pack in combination with AMEsim software according to claim 1 is characterized in that: Data coverage issues caused by different simulation conditions are all handled in the AMEsim software, and the signal input and control in the software can be operated through the image editing that comes with the software.

4. The multi-node cooling system simulation method for a new energy vehicle battery pack in combination with AMEsim software according to claim 1 is characterized in that: By dividing the large battery pack into multiple nodes and performing cell layering, the heat distribution inside the battery pack can be studied more conveniently and accurately.

5. The simulation method for multi-node cooling system of new energy vehicle battery pack combined with AMEsim software according to claim 1 is characterized in that: The time span for simulation calculation can be 100s, 1000s, or 10000s, and the sampling time interval can also be determined according to research requirements.

Images