A kind of vehicle motor induction heating iron core processing equipment and processing technology

Abstract

The present invention discloses an induction heating iron core processing equipment and a processing technology for an automotive motor, which relates to the technical field of motor iron core processing, and includes a bottom bracket, an upper frame and an intelligent heating system; the present invention drives a limiting tool to move as a whole along a long groove through a chain conveyor to the bottom of a heating component, and controls the heating ring to reach a heating temperature corresponding to the heating and melting stage through a temperature control unit, and performs induction heating on the iron core to be heated. After being heated to a certain temperature, the glue coated on the surface of the single piece begins to melt, and then the second electric telescopic rod drives the cooling ring to move downward to cool the limiting tool as a whole. After the iron core is cooled to room temperature and is completely adhered together, it enters a demolding station to eject the finished iron core. Compared with the existing technology, the present invention greatly improves the efficiency of the iron core heating processing, and can maximize the use of energy and avoid heat loss.

Description

Technical Field

[0001] The present invention relates to the technical field of motor iron core processing, and in particular to a vehicle motor induction heating iron core processing device and a processing technology. Background Art

[0002] At present, the iron cores of domestic new energy electric vehicles are mainly made by riveting and welding. In order to further optimize the efficiency of the automobile motor system, some companies will use self-adhesive iron cores. The heating process is required during the processing of self-adhesive iron cores.

[0003] The basic principle of induction heaters in the existing technology is to utilize the electromagnetic induction phenomenon. Alternating current generates an alternating magnetic field, which causes eddy currents to be generated inside the metal conductor, thereby generating heat. The main components of the induction heater include an induction coil and a workpiece. This magnetic field will cause an induced current with the same frequency as the induction coil to be generated inside the workpiece. This current is mainly distributed on the surface of the workpiece, forming eddy currents. The eddy currents convert electrical energy into thermal energy, causing the workpiece surface to heat rapidly.

[0004] Currently, the glue applied to the surface of the materials provided by steel mills needs to be heated to between 190°C and 250°C and maintained at this temperature and pressure for more than 2 minutes to achieve a sticky effect. After heating, the materials enter the cooling station, which is divided into external cooling and internal cooling. The product must be completely wrapped to achieve a rapid cooling effect. Although the existing equipment can meet the processing conditions, it has low efficiency and high energy consumption, which cannot meet the production and processing needs.

[0005] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0006] The purpose of the present invention is:

[0007] To achieve the above objectives, the present invention adopts the following technical solution: an induction heating core processing device for an automotive motor, comprising a bottom bracket, an upper frame, and an intelligent heating system, wherein a chain conveyor is fixedly installed inside the bottom bracket, and the top surface of the chain conveyor is movably connected to a limit fixture, the upper frame is fixedly installed on the top surface of the bottom bracket, and two sets of boosting mechanisms are fixedly installed at the bottom end of the inner wall of the upper frame, and the bottom end surfaces of the two sets of boosting mechanisms are respectively fixed with a heating component and a cooling component;

[0008] The intelligent heating system includes a data acquisition unit, a pressure analysis unit, a parameter storage unit, a temperature prediction unit and a temperature control unit;

[0009] The data acquisition unit is used to obtain pressure data between the boosting assembly and the iron core to be heated through a plurality of pressure sensors arranged at the bottom of the boosting mechanism, and to obtain a pressure data set after eliminating invalid pressure data, and to send the pressure data set to the pressure analysis unit;

[0010] At the same time, the real-time temperature data of the tooling is obtained according to the temperature sensor set on the outside of the limit tooling, and the real-time temperature data of the tooling is sent to the temperature prediction unit;

[0011] The pressure analysis unit is used to obtain and merge pressure data sets, calculate the core pressure coefficient based on the pressure data set, and evaluate the processing stage reached by the core pressure coefficient based on the preset core processing parameters, and obtain the processing requirement results and send them to the temperature prediction unit;

[0012] The parameter storage unit is used to store stage parameters during the processing of the induction heating core of the automotive motor, wherein the stage parameters include the processing stage and the rated temperature data corresponding to the processing stage;

[0013] The rated temperature data corresponding to the heating and melting stage is (T1, T2), the rated temperature data corresponding to the pressure bonding stage is (T3, T4), the rated temperature data corresponding to the pre-cooling stage is (T5, T6), and the rated temperature data corresponding to the cooling stage is (T7, T8).

[0014] The temperature prediction unit is used to obtain the processing requirement results, and obtain the rated temperature data corresponding to the processing stage from the parameter storage unit based on the processing requirement results, and obtain the real-time temperature data of the tooling to calculate the temperature difference. A processing temperature prediction model is established based on a convolutional neural network, and the temperature difference is substituted into the processing temperature prediction model to obtain predicted temperature data. A temperature correction value is calculated based on the predicted temperature data and sent to the temperature control unit;

[0015] The temperature control unit is used to obtain the temperature correction value to adjust the parameters of the heating component and the cooling component to ensure that the iron core to be heated in the limit tooling reaches the temperature value required for processing and complete the iron core processing.

[0016] Furthermore, the limiting tooling includes a horizontal push plate and a limiting mechanism. Two groups of mutually parallel through long grooves are opened inside the bottom bracket. The inner walls of the two through long grooves are movably connected with moving blocks. The horizontal push plate is connected to the outer surface of the moving block. The top surface of the horizontal push plate is provided with a tooling groove, and the limiting mechanism is fixed to the inner wall of the tooling groove.

[0017] Furthermore, the limiting mechanism includes a processing tooling and a locking shaft. The processing tooling is movably connected to the inner wall of the tooling slot, the locking shaft is fixed to the outer surface of the processing tooling, a magnetic block is fixed to the bottom end surface of the locking shaft, and a plug-in slot is opened inside the horizontal push plate, and a magnet block is fixed to the inner wall of the plug-in slot.

[0018] Furthermore, the boosting mechanism includes a hydraulic pump and a pressurized top plate, the top surface of the bottom bracket is fixed with an internal bracket, the hydraulic pump is fixed to the bottom surface of the internal bracket, and the pressurized top plate is movably connected to the bottom surface of the output end of the hydraulic pump.

[0019] Furthermore, the heating assembly includes a first electric telescopic rod and a heating ring, the first electric telescopic rod is fixed to the bottom surface of the internal bracket, the heating ring is fixed to the bottom surface of the first electric telescopic rod, a metal ring is fixed inside the heating ring, and a heating coil is wound around the outer surface of the metal ring.

[0020] Furthermore, the cooling assembly includes a second electric telescopic rod and a cooling ring, the second electric telescopic rod is fixed to the bottom end surface of the internal bracket, the cooling ring is fixed to the bottom end surface of the second electric telescopic rod, and the outer surfaces of the cooling ring are respectively connected to a water inlet hose and a water outlet hose, and the water inlet hose and the water outlet hose are respectively connected to the water cooling circulation system.

[0021] Furthermore, the specific process of obtaining the processing requirement results is as follows:

[0022] S101, obtain a pressure data set, the pressure data set P = {P1, P2, P3, ..., Pn}, and calculate the core pressure coefficient Hp according to the following formula: Where i = 1, 2, 3, ..., n, is the preset average pressure value. The core pressurization coefficient is used to reflect the pressurization state of the cores to be heated that are stacked in the limiting fixture by the pressurization component. The larger the core pressurization coefficient, the greater the pressurization degree of the cores to be heated that are stacked in the limiting fixture. Conversely, the smaller the core pressurization coefficient, the lower the pressurization degree of the cores to be heated that are stacked in the limiting fixture.

[0023] S102: Obtaining preset core processing parameters, wherein the core processing parameters specifically include processing stages and corresponding preset pressure ranges for the processing stages, wherein the processing stages include a heating and melting stage, a pressurizing and bonding stage, a pre-cooling stage, and a cooling stage, wherein the preset pressure range corresponding to the heating and melting stage is (H1, H2), the preset pressure range corresponding to the pressurizing and bonding stage is (H2, H3), the preset pressure range corresponding to the pre-cooling stage is (H4, H5), and the preset pressure range corresponding to the cooling stage is (H6, H7);

[0024] S103: If the core pressurization coefficient Hp is less than H1, it indicates that the pressurization of the limit fixture by the booster mechanism is not in place, and a detection signal is generated and sent to the main control unit;

[0025] If the core pressure coefficient Hp is greater than or equal to H1 and less than or equal to H2, the processing requirement result is the heating and melting requirement;

[0026] If the core pressure coefficient Hp is greater than or equal to H3 and less than or equal to H4, the processing requirement result is the pressure bonding requirement;

[0027] If the core pressurization coefficient Hp is greater than or equal to H5 and less than or equal to H6, the processing requirement result is the pre-cooling requirement;

[0028] If the core pressurization coefficient Hp is greater than or equal to H7 and less than or equal to H8, the processing requirement result is the cooling requirement;

[0029] If the core pressure coefficient Hp is greater than H8, it means that the pressure increase mechanism applies too much pressure to the limit fixture, and an emergency stop signal is generated and sent to the main control unit.

[0030] Furthermore, the specific process of obtaining the temperature correction value is as follows:

[0031] S201, obtaining a processing requirement result, analyzing the processing stage to be started based on the processing requirement result, and obtaining the rated temperature data (Ti, Tj) corresponding to the processing stage;

[0032] S202: Obtain the real-time temperature data T0 of the tooling, and calculate the temperature difference ΔT according to the following:

[0033]

[0034] S203: Acquire historical processing parameters, including processing stages and historical temperature data corresponding to the processing stages, establish a time axis according to the processing stages, and mark the historical temperature data on the time axis to obtain a temperature fluctuation graph as a training sample;

[0035] S204, dividing the generated training samples into a training set and a test set according to a ratio of 8:2;

[0036] S205, downloading the weight file and loading it onto the corresponding network to initialize the migration network parameters, and determining the number of hidden layer nodes of the BP neural network model according to the amount of historical temperature data in the training set;

[0037] S206. Modify the last fully connected layer of the network, keep the input unchanged, set the output to the predicted temperature data, initialize the weights of the last layer, use the gradient descent algorithm for learning, and use fixed step size decay to optimize the training parameters, retrain the entire network, and obtain the processing temperature prediction model;

[0038] S207, during the training process, randomly extract small batches of temperature fluctuation graphs from the training set without duplication. Extracting all the temperature fluctuation graphs in the training set constitutes one training cycle. The training is completed after a certain number of iterations, and then the model effect is evaluated using the test set;

[0039] S208 , substituting the temperature difference into the processing temperature prediction model to obtain predicted temperature data Ty, and calculating the temperature correction value UT according to the following formula: UT=Ty-ΔT.

[0040] The present invention also provides a process for processing an induction heating core of an automotive motor, comprising the following steps:

[0041] Step 1: The iron core to be heated is obtained by manually weighing and stacking the single pieces into the processing tooling, and the processing tooling is locked and placed into the tooling slot. The locking shaft is inserted into the plug-in slot. The processing tooling and the horizontal push plate are connected as a whole through the magnetic attraction between the magnetic block and the magnet block. The limit tooling is driven by the chain conveyor to move along the long slot as a whole to the bottom of the heating component;

[0042] Step 2: The hydraulic pump drives the pressurized top plate to move downward, so that the pressurized top plate presses the iron core to be heated in the processing tooling. At this time, the first electric telescopic rod drives the heating ring to move downward until the heating ring moves to overlap with the processing tooling. The temperature control unit controls the heating ring to reach the heating temperature corresponding to the heating and melting stage, and induction heats the iron core to be heated. After heating to a certain temperature, the glue coated on the surface of the single piece begins to melt;

[0043] Step 3: Analyze the melting state of the glue in real time through the pressure analysis unit, adjust the processing stage to the pressure bonding stage, and further control the heating ring through the temperature control unit to adjust the real-time heating temperature;

[0044] Step 4: When the glue on the surface of the iron core to be heated is completely melted, the next processing stage, i.e., the pre-cooling stage, is entered. At this time, the first electric telescopic rod is controlled to drive the heating ring to reset, and the booster mechanism above the heating component is reset synchronously. The limit tooling is moved as a whole to the bottom of the cooling component through the chain conveyor;

[0045] Step 5: The hydraulic pump drives the pressurized top plate above the cooling assembly to move downward, so that the pressurized top plate presses the iron core to be heated in the processing tooling. At the same time, the second electric telescopic rod drives the cooling ring to move downward to cool the entire limiting tooling. After cooling to room temperature, the iron core is completely stuck together and enters the demoulding station to eject the finished iron core.

[0046] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0047] 1. The automotive motor induction heating iron core processing equipment uses a chain conveyor to drive the limiting tooling to move as a whole along the long groove to the bottom of the heating component. The temperature control unit controls the heating ring to reach the heating temperature corresponding to the heating and melting stage, and induction heats the iron core to be heated. After heating to a certain temperature, the glue coated on the surface of the single piece begins to melt, and then the second electric telescopic rod drives the cooling ring to move downward to cool the limiting tooling as a whole. After cooling to room temperature, the iron core is completely adhered together and enters the demolding station to eject the finished iron core. Compared with the existing technology, the present invention greatly improves the efficiency of the iron core heating processing, and can maximize the use of energy and avoid heat loss.

[0048] 2. This automotive motor induction heating core processing equipment obtains pressure data between the boost assembly and the core to be heated through several groups of pressure sensors set at the bottom of the boost mechanism, calculates the core pressurization coefficient based on the pressure data set, evaluates the processing stage reached by the core pressurization coefficient, obtains the rated temperature data corresponding to the processing stage, and obtains the real-time temperature data of the tooling to calculate the temperature difference. Based on the convolutional neural network, a processing temperature prediction model is established, and then the temperature difference is substituted into the processing temperature prediction model to obtain the predicted temperature data. The temperature correction value is calculated based on the predicted temperature data, and then the parameters of the heating assembly and the cooling assembly are adjusted to ensure that the core to be heated in the limit tooling reaches the temperature value required for processing, thereby completing the core processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 Shows a schematic diagram of the overall external structure of the present invention;

[0050] Figure 2 Another schematic diagram of the overall external structure of the present invention is shown;

[0051] Figure 3 Shows a schematic diagram of the internal structure of the heating ring of the present invention;

[0052] Figure 4 Another schematic diagram of the internal structure of the heating ring according to the present invention is shown;

[0053] Figure 5 Shows a schematic structural diagram of the intelligent heating system of the present invention;

[0054] Legend: 1. Bottom bracket; 2. Chain conveyor; 3. Upper frame; 4. Through-long slot; 5. Moving block; 6. Horizontal push plate; 7. Processing tooling; 8. Locking shaft; 9. Magnetic block; 10. Plug-in slot; 11. Magnet block; 12. Internal bracket; 13. Pressurized top plate; 14. First electric telescopic rod; 15. Heating ring; 16. Metal ring; 17. Heating coil; 18. Second electric telescopic rod; 19. Cooling ring; 20. Water inlet hose; 21. Water outlet hose; 22. Hydraulic pump. DETAILED DESCRIPTION

[0055] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0056] Example 1:

[0057] like Figure 1-4 As shown, an induction heating core processing device for automotive motors includes a bottom bracket 1, an upper frame 3, and an intelligent heating system. A chain conveyor 2 is fixedly installed inside the bottom bracket 1, and the top surface of the chain conveyor 2 is movably connected to a limit fixture. The upper frame 3 is fixed to the top surface of the bottom bracket 1. Two sets of boosting mechanisms are fixed to the bottom end of the inner wall of the upper frame 3. The bottom end surfaces of the two sets of boosting mechanisms are respectively fixed to a heating component and a cooling component.

[0058] The limiting tooling includes a horizontal push plate 6 and a limiting mechanism. Two sets of mutually parallel through long slots 4 are opened inside the bottom bracket 1. The inner walls of the two through long slots 4 are movably connected with moving blocks 5. The horizontal push plate 6 is connected to the outer surface of the moving block 5. The top surface of the horizontal push plate 6 is provided with a tooling groove, and the limiting mechanism is fixed on the inner wall of the tooling groove.

[0059] The limiting mechanism includes a processing tool 7 and a locking shaft 8. The processing tool 7 is movably connected to the inner wall of the tooling groove. The locking shaft 8 is fixed to the outer surface of the processing tool 7. A magnetic block 9 is fixed to the bottom end surface of the locking shaft 8. A plug-in slot 10 is opened inside the horizontal push plate 6, and a magnet block 11 is fixed to the inner wall of the plug-in slot 10.

[0060] The boosting mechanism includes a hydraulic pump 22 and a pressurizing top plate 13. The top surface of the bottom bracket 1 is fixed with an internal bracket 12, the hydraulic pump 22 is fixed to the bottom surface of the internal bracket 12, and the pressurizing top plate 13 is movably connected to the bottom surface of the output end of the hydraulic pump 22.

[0061] The heating assembly includes a first electric telescopic rod 14 and a heating ring 15. The first electric telescopic rod 14 is fixed to the bottom surface of the internal bracket 12. The heating ring 15 is fixed to the bottom surface of the first electric telescopic rod 14. A metal ring 16 is fixed inside the heating ring 15, and a heating coil 17 is wound around the outer surface of the metal ring 16.

[0062] The cooling assembly includes a second electric telescopic rod 18 and a cooling ring 19. The second electric telescopic rod 18 is fixed to the bottom surface of the internal bracket 12. The cooling ring 19 is fixed to the bottom surface of the second electric telescopic rod 18. The outer surfaces of the cooling ring 19 are respectively connected to a water inlet hose 20 and a water outlet hose 21. The water inlet hose 20 and the water outlet hose 21 are respectively connected to the water cooling circulation system.

[0063] The working principle is as follows: the iron core to be heated is obtained by manually weighing and stacking the single pieces into the processing tool 7, and the processing tool 7 is locked and placed into the tool slot. The locking shaft 8 is inserted into the plug-in slot 10. The processing tool 7 and the horizontal push plate 6 are connected as a whole through the magnetic attraction between the magnetic block 9 and the magnet block 11. The chain conveyor 2 drives the limiting tool to move as a whole along the long slot 4 to the bottom of the heating component;

[0064] The hydraulic pump 22 drives the pressurizing top plate 13 to move downward, so that the pressurizing top plate 13 presses the iron core to be heated in the processing tool 7. At this time, the first electric telescopic rod 14 drives the heating ring 15 to move downward until the heating ring 15 moves to overlap with the processing tool 7. The temperature control unit controls the heating ring 15 to reach the heating temperature corresponding to the heating and melting stage, and induction heats the iron core to be heated. After heating to a certain temperature, the glue coated on the surface of the single piece begins to melt.

[0065] The pressure analysis unit analyzes the melting state of the glue in real time, adjusts the processing stage to the pressure bonding stage, and further controls the heating ring 15 to adjust the real-time heating temperature through the temperature control unit;

[0066] When the glue on the surface of the iron core to be heated is completely melted, the next processing stage, i.e., the pre-cooling stage, is entered. At this time, the first electric telescopic rod 14 is controlled to drive the heating ring 15 to reset, and the booster mechanism above the heating component is reset synchronously. The limit tooling is moved as a whole to the bottom of the cooling component through the chain conveyor 2;

[0067] The hydraulic pump 22 drives the pressurized top plate 13 above the cooling assembly to move downward, so that the pressurized top plate 13 presses the iron core to be heated in the processing tooling 7. At the same time, the second electric telescopic rod 18 drives the cooling ring 19 to move downward to cool the entire limiting tooling. After cooling to room temperature, the iron cores are completely stuck together and enter the demoulding station to eject the finished iron cores.

[0068] Example 2:

[0069] like Figure 5 As shown, an induction heating core processing device for a vehicle motor includes a bottom bracket, an upper frame and an intelligent heating system;

[0070] The intelligent heating system includes a data acquisition unit, a pressure analysis unit, a parameter storage unit, a temperature prediction unit and a temperature control unit;

[0071] The data acquisition unit is used to obtain pressure data between the boosting assembly and the iron core to be heated through a plurality of pressure sensors arranged at the bottom of the boosting mechanism, and to obtain a pressure data set after eliminating invalid pressure data, and to send the pressure data set to the pressure analysis unit;

[0072] At the same time, the real-time temperature data of the tooling is obtained according to the temperature sensor set on the outside of the limit tooling, and the real-time temperature data of the tooling is sent to the temperature prediction unit;

[0073] The pressure analysis unit is used to obtain and merge pressure data sets, calculate the core pressure coefficient based on the pressure data set, and evaluate the processing stage reached by the core pressure coefficient based on the preset core processing parameters, and obtain the processing requirement results and send them to the temperature prediction unit;

[0074] The specific process of obtaining the processing requirement results is as follows:

[0075] S101. Obtain a pressure data set, where the pressure data set P = {P1, P2, P3, ..., Pn}, and calculate the core pressure coefficient Hp according to the following formula: Where i = 1, 2, 3, ..., n, is the preset average pressure value. The core pressurization coefficient is used to reflect the pressurization state of the cores to be heated that are stacked in the limiting fixture by the pressurization component. The larger the core pressurization coefficient, the greater the pressurization degree of the cores to be heated that are stacked in the limiting fixture. Conversely, the smaller the core pressurization coefficient, the lower the pressurization degree of the cores to be heated that are stacked in the limiting fixture.

[0076] S102: Obtain preset core processing parameters. The core processing parameters specifically include processing stages and corresponding preset pressure ranges. The processing stages include a heating and melting stage, a pressurized bonding stage, a pre-cooling stage, and a cooling stage. The preset pressure range corresponding to the heating and melting stage is (H1, H2), the preset pressure range corresponding to the pressurized bonding stage is (H2, H3), the preset pressure range corresponding to the pre-cooling stage is (H4, H5), and the preset pressure range corresponding to the cooling stage is (H6, H7).

[0077] S103: If the core pressurization coefficient Hp is less than H1, it indicates that the pressurization of the limit fixture by the booster mechanism is not in place, and a detection signal is generated and sent to the main control unit;

[0078] If the core pressure coefficient Hp is greater than or equal to H1 and less than or equal to H2, the processing requirement result is the heating and melting requirement;

[0079] If the core pressure coefficient Hp is greater than or equal to H3 and less than or equal to H4, the processing requirement result is the pressure bonding requirement;

[0080] If the core pressurization coefficient Hp is greater than or equal to H5 and less than or equal to H6, the processing requirement result is the pre-cooling requirement;

[0081] If the core pressurization coefficient Hp is greater than or equal to H7 and less than or equal to H8, the processing requirement result is the cooling requirement;

[0082] If the core pressure coefficient Hp is greater than H8, it means that the pressure increase mechanism applies too much pressure to the limit fixture, and an emergency stop signal is generated and sent to the main control unit.

[0083] The parameter storage unit is used to store stage parameters during the processing of the induction heating core of the automotive motor, and the stage parameters include the processing stage and the rated temperature data corresponding to the processing stage;

[0084] The rated temperature data corresponding to the heating and melting stage is (T1, T2), the rated temperature data corresponding to the pressure bonding stage is (T3, T4), the rated temperature data corresponding to the pre-cooling stage is (T5, T6), and the rated temperature data corresponding to the cooling stage is (T7, T8).

[0085] The temperature prediction unit is used to obtain the processing requirement results, and obtain the rated temperature data corresponding to the processing stage from the parameter storage unit based on the processing requirement results, and obtain the real-time temperature data of the tooling to calculate the temperature difference. A processing temperature prediction model is established based on a convolutional neural network, and the temperature difference is substituted into the processing temperature prediction model to obtain predicted temperature data. A temperature correction value is calculated based on the predicted temperature data and sent to the temperature control unit;

[0086] The specific process of obtaining the temperature correction value is as follows:

[0087] S201, obtaining a processing requirement result, analyzing the processing stage to be started based on the processing requirement result, and obtaining the rated temperature data (Ti, Tj) corresponding to the processing stage;

[0088] S202: Obtain the real-time temperature data T0 of the tooling, and calculate the temperature difference ΔT according to the following:

[0089]

[0090] S203: Acquire historical processing parameters, including processing stages and historical temperature data corresponding to the processing stages, establish a time axis based on the processing stages, and mark the historical temperature data on the time axis to obtain a temperature fluctuation graph as a training sample;

[0091] S204, dividing the generated training samples into a training set and a test set according to a ratio of 8:2;

[0092] S205, downloading the weight file and loading it onto the corresponding network to initialize the migration network parameters, and determining the number of hidden layer nodes of the BP neural network model according to the number of historical temperature data in the training set;

[0093] S206. Modify the last fully connected layer of the network, keep the input unchanged, set the output to the predicted temperature data, initialize the weights of the last layer, use the gradient descent algorithm for learning, and use fixed step size decay to optimize the training parameters, retrain the entire network, and obtain the processing temperature prediction model;

[0094] S207, during the training process, randomly extract small batches of temperature fluctuation graphs from the training set without duplication. Extracting all the temperature fluctuation graphs in the training set constitutes one training cycle. The training is completed after a certain number of iterations, and then the model effect is evaluated using the test set;

[0095] S208 , substituting the temperature difference into the processing temperature prediction model to obtain predicted temperature data Ty, and calculating the temperature correction value UT according to the following formula: UT=Ty-ΔT.

[0096] The temperature control unit is used to obtain the temperature correction value to adjust the parameters of the heating component and the cooling component to ensure that the iron core to be heated in the limit tooling reaches the temperature value required for processing and complete the iron core processing.

[0097] The present invention obtains pressure data between the boosting assembly and the iron core to be heated through several groups of pressure sensors arranged at the bottom of the boosting mechanism, calculates the iron core pressurization coefficient based on the pressure data set, evaluates the processing stage reached by the iron core pressurization coefficient, obtains the rated temperature data corresponding to the processing stage, and obtains the real-time temperature data of the tooling to calculate the temperature difference. A processing temperature prediction model is established based on a convolutional neural network, and then the temperature difference is substituted into the processing temperature prediction model to obtain predicted temperature data. The temperature correction value is calculated based on the predicted temperature data, and then the parameters of the heating assembly and the cooling assembly are adjusted to ensure that the iron core to be heated in the limit tooling reaches the temperature value required for processing, thereby completing the iron core processing.

[0098] The size of the interval is set to facilitate comparison. The size of the interval value depends on the amount of sample data and the number of bases set by technical personnel in this field for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0099] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by those skilled in the art according to actual conditions.

[0100] In the two embodiments provided in this application, it should be understood that the disclosed devices and systems can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the module division is merely a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not implemented. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interface, and the indirect coupling or communication connection of devices or modules may be electrical, mechanical or other forms.

[0101] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. An induction heating core processing device for a motor for a vehicle, comprising a bottom bracket (1), an upper frame (3) and an intelligent heating system, characterized in that: A chain conveyor (2) is fixedly provided inside the bottom bracket (1), the top surface of the chain conveyor (2) is movably connected to a limited position tooling, the upper frame (3) is fixedly provided on the top surface of the bottom bracket (1), two groups of boosting mechanisms are fixedly provided at the bottom end of the inner wall of the upper frame (3), and the bottom end surfaces of the two groups of boosting mechanisms are respectively fixedly provided with a heating component and a cooling component; The intelligent heating system includes a data acquisition unit, a pressure analysis unit, a parameter storage unit, a temperature prediction unit and a temperature control unit; The data acquisition unit is used to obtain pressure data between the boosting assembly and the iron core to be heated through a plurality of pressure sensors arranged at the bottom of the boosting mechanism, and to obtain a pressure data set after eliminating invalid pressure data, and to send the pressure data set to the pressure analysis unit; At the same time, the real-time temperature data of the tooling is obtained according to the temperature sensor set on the outside of the limit tooling, and the real-time temperature data of the tooling is sent to the temperature prediction unit; The pressure analysis unit is used to obtain and merge pressure data sets, calculate the core pressure coefficient based on the pressure data set, and evaluate the processing stage reached by the core pressure coefficient based on the preset core processing parameters, and obtain the processing requirement results and send them to the temperature prediction unit; The parameter storage unit is used to store stage parameters during the processing of the induction heating core of the automotive motor, wherein the stage parameters include the processing stage and the rated temperature data corresponding to the processing stage; The temperature prediction unit is used to obtain the processing requirement results, and obtain the rated temperature data corresponding to the processing stage from the parameter storage unit based on the processing requirement results, and obtain the real-time temperature data of the tooling to calculate the temperature difference. A processing temperature prediction model is established based on a convolutional neural network, and the temperature difference is substituted into the processing temperature prediction model to obtain predicted temperature data. A temperature correction value is calculated based on the predicted temperature data and sent to the temperature control unit; The temperature control unit is used to obtain the temperature correction value to adjust the parameters of the heating component and the cooling component to ensure that the iron core to be heated in the limit tooling reaches the temperature value required for processing and complete the iron core processing.

2. The induction heating core processing equipment for automotive motors according to claim 1, characterized in that: The limiting fixture comprises a horizontal push plate (6) and a limiting mechanism. Two sets of mutually parallel through long slots (4) are provided inside the bottom bracket (1). The inner walls of the two through long slots (4) are movably connected with a moving block (5). The horizontal push plate (6) is connected to the outer surface of the moving block (5). The top surface of the horizontal push plate (6) is provided with a fixture slot. The limiting mechanism is fixed to the inner wall of the fixture slot.

3. The induction heating core processing equipment for automotive motors according to claim 2, characterized in that: The limiting mechanism comprises a processing tool (7) and a locking shaft (8), wherein the processing tool (7) is movably connected to the inner wall of the tool slot, the locking shaft (8) is fixed to the outer surface of the processing tool (7), a magnetic block (9) is fixed to the bottom surface of the locking shaft (8), a plug-in slot (10) is provided inside the horizontal push plate (6), and a magnet block (11) is fixed to the inner wall of the plug-in slot (10).

4. The induction heating core processing equipment for automotive motors according to claim 3, characterized in that: The boosting mechanism comprises a hydraulic pump (22) and a pressurizing top plate (13); an internal bracket (12) is fixedly provided on the top surface of the bottom bracket (1); the hydraulic pump (22) is fixedly provided on the bottom surface of the internal bracket (12); and the pressurizing top plate (13) is movably connected to the bottom surface of the output end of the hydraulic pump (22).

5. The induction heating core processing equipment for automotive motors according to claim 4, characterized in that: The heating assembly comprises a first electric telescopic rod (14) and a heating ring (15), wherein the first electric telescopic rod (14) is fixed to the bottom surface of the internal bracket (12), and the heating ring (15) is fixed to the bottom surface of the first electric telescopic rod (14), a metal ring (16) is fixed inside the heating ring (15), and a heating coil (17) is wound around the outer surface of the metal ring (16).

6. The induction heating core processing equipment for automotive motors according to claim 5, characterized in that: The cooling assembly includes a second electric telescopic rod (18) and a cooling ring (19), wherein the second electric telescopic rod (18) is fixed to the bottom end surface of the internal bracket (12), and the cooling ring (19) is fixed to the bottom end surface of the second electric telescopic rod (18), and the outer surface of the cooling ring (19) is respectively connected to a water inlet hose (20) and a water outlet hose (21), and the water inlet hose (20) and the water outlet hose (21) are respectively connected to a water cooling circulation system.

7. The induction heating core processing equipment for automotive motors according to claim 1, characterized in that: The specific process of obtaining the processing requirement results is as follows: S101, obtain a pressure data set, and calculate the core pressure coefficient Hp according to the following formula: Where i = 1, 2, 3, ..., n, The iron core pressurization coefficient is used to reflect the pressurization state of the iron cores to be heated that are stacked in the limiting fixture by the pressurizing component. S102: Obtaining preset core processing parameters, wherein the core processing parameters specifically include processing stages and corresponding preset pressure ranges for the processing stages, wherein the processing stages include a heating and melting stage, a pressurizing and bonding stage, a pre-cooling stage, and a cooling stage, wherein the preset pressure range corresponding to the heating and melting stage is (H1, H2), the preset pressure range corresponding to the pressurizing and bonding stage is (H2, H3), the preset pressure range corresponding to the pre-cooling stage is (H4, H5), and the preset pressure range corresponding to the cooling stage is (H6, H7); S103: If the core pressurization coefficient Hp is less than H1, it indicates that the pressurization of the limit fixture by the booster mechanism is not in place, and a detection signal is generated and sent to the main control unit; If the core pressure coefficient Hp is greater than or equal to H1 and less than or equal to H2, the processing requirement result is the heating and melting requirement; If the core pressure coefficient Hp is greater than or equal to H3 and less than or equal to H4, the processing requirement result is the pressure bonding requirement; If the core pressurization coefficient Hp is greater than or equal to H5 and less than or equal to H6, the processing requirement result is the pre-cooling requirement; If the core pressurization coefficient Hp is greater than or equal to H7 and less than or equal to H8, the processing requirement result is the cooling requirement; If the core pressure coefficient Hp is greater than H8, it means that the pressure increase mechanism applies too much pressure to the limit fixture, and an emergency stop signal is generated and sent to the main control unit.

8. The induction heating core processing equipment for automotive motors according to claim 1, characterized in that: The specific process of obtaining the temperature correction value is as follows: S201, obtaining a processing requirement result, analyzing the processing stage to be started based on the processing requirement result, and obtaining the rated temperature data (Ti, Tj) corresponding to the processing stage; S202: Obtain the real-time temperature data T0 of the tooling, and calculate the temperature difference ΔT according to the following: S203: Acquire historical processing parameters, including processing stages and historical temperature data corresponding to the processing stages, establish a time axis according to the processing stages, and mark the historical temperature data on the time axis to obtain a temperature fluctuation graph as a training sample; S204, dividing the generated training samples into a training set and a test set according to a ratio of 8:2; S205, downloading the weight file and loading it onto the corresponding network to initialize the migration network parameters, and determining the number of hidden layer nodes of the BP neural network model according to the number of historical temperature data in the training set; S206. Modify the last fully connected layer of the network, keep the input unchanged, set the output to the predicted temperature data, initialize the weights of the last layer, use the gradient descent algorithm for learning, and use fixed step size decay to optimize the training parameters, retrain the entire network, and obtain the processing temperature prediction model; S207, during the training process, randomly extract small batches of temperature fluctuation graphs from the training set without duplication. Extracting all the temperature fluctuation graphs in the training set constitutes one training cycle. The training is completed after a certain number of iterations, and then the model effect is evaluated using the test set; S208 , substituting the temperature difference into the processing temperature prediction model to obtain predicted temperature data Ty, and calculating the temperature correction value UT according to the following formula: UT=Ty-ΔT.

9. The processing technology of the induction heating core processing equipment for a vehicle motor according to claim 6, characterized in that: The following steps are involved: Step 1: manually weigh and stack the single pieces into the processing tool (7) to obtain the iron core to be heated, and then lock the processing tool (7) and put it into the tool slot, insert the locking shaft (8) into the plug-in slot (10), and connect the processing tool (7) and the horizontal push plate (6) into a whole through the magnetic attraction between the magnetic block (9) and the magnet block (11), and drive the limiting tool to move as a whole along the through-long slot (4) to the bottom of the heating component through the chain conveyor (2); Step 2: The hydraulic pump (22) drives the pressurized top plate (13) to move downward, so that the pressurized top plate (13) presses the iron core to be heated in the processing tool (7). At this time, the first electric telescopic rod (14) drives the heating ring (15) to move downward until the heating ring (15) moves to overlap with the processing tool (7). The temperature control unit controls the heating ring (15) to reach the heating temperature corresponding to the heating and melting stage, and induction heats the iron core to be heated. After heating to a certain temperature, the glue coated on the surface of the single piece begins to melt. Step 3: Analyze the melting state of the glue in real time through the pressure analysis unit, adjust the processing stage to the pressure bonding stage, and further control the heating ring (15) through the temperature control unit to adjust the real-time heating temperature; Step 4: When the glue on the surface of the iron core to be heated is completely melted, the next processing stage, i.e., the pre-cooling stage, is entered. At this time, the first electric telescopic rod (14) is controlled to drive the heating ring (15) to reset, and the booster mechanism above the heating component is reset synchronously. The limit tooling is moved as a whole to the bottom of the cooling component through the chain conveyor (2); Step 5: The hydraulic pump (22) drives the pressurized top plate (13) above the cooling assembly to move downward, so that the pressurized top plate (13) presses the iron core to be heated in the processing tooling (7). At the same time, the second electric telescopic rod (18) drives the cooling ring (19) to move downward to cool the entire limiting tooling. After cooling to room temperature, the iron core is completely adhered together and enters the demoulding station to eject the finished iron core.

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