Optimization method of new energy plug-in hybrid automobile fuel tank shell die stamping process

Abstract

The invention discloses an optimization method of a new energy plug-in hybrid automobile fuel tank shell die stamping process, and relates to the technical field of fuel tank shell manufacturing, the method comprises the following steps: designing a multi-station die suitable for a fuel tank shell, installing the multi-station die on a stamping production line, each station die being responsible for a specific forming step, constructing an integrated detection mechanism, and forming the fuel tank shell through the integrated detection mechanism; the method comprises the following steps: configuring detection parameters when an oil pan is subjected to multi-station punching, immediately performing quality detection after a workpiece passes through each station, and constructing a multi-station intelligent adjusting mechanism, namely recording the punching parameters of each oil tank shell punching station in real time, and automatically adjusting the punching parameters of each station according to a quality detection result. By constructing a multi-station intelligent adjusting mechanism, the system can record and analyze punching parameters of each station in real time, parameter setting is automatically optimized in combination with a quality detection result, and intelligentization and high efficiency of the production process are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of fuel tank shell manufacturing, and in particular to a method for optimizing a stamping process of a mold for a fuel tank shell of a new energy plug-in hybrid vehicle. Background Art

[0002] With the rapid development of the automobile industry, new energy vehicles have gradually become the mainstream trend of the market. New energy plug-in hybrid electric vehicles (PHEV) have received extensive attention and application because they combine the environmental friendliness of electric vehicles with the endurance of traditional internal combustion engine vehicles. As an important component of new energy plug-in hybrid vehicles, the precision and efficiency of the manufacturing process of the fuel tank housing directly affect the performance and safety of the entire vehicle.

[0003] The traditional stamping process of the fuel tank housing usually uses a single-station mold for stamping and forming. However, in actual production, the single-station stamping process has multiple problems: on the one hand, due to the limitation of mold complexity, a single station cannot complete multiple processes at the same time, resulting in low stamping efficiency; on the other hand, the quality of the workpiece is easily affected by the coordination between the various processes, especially when the workpiece is large in size and complex in shape, the stamping accuracy is difficult to guarantee.

[0004] In addition, in the traditional stamping process, the quality inspection of the workpiece is mostly carried out after the stamping is completed. This post-test method often fails to detect and correct problems in the process in a timely manner, which may lead to the production of a large number of unqualified products, thereby wasting materials and production costs. At the same time, the adjustment of process parameters depends on the experience of the operator and lacks an intelligent adjustment mechanism, which makes it difficult for the production line to quickly respond to fluctuations in product quality, further affecting production efficiency and product qualification rate. Summary of the invention

[0005] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In view of the problems existing in the above-mentioned existing method for optimizing the stamping process of the mold for the fuel tank housing of the new energy plug-in hybrid vehicle, the present invention is proposed.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for optimizing the stamping process of a mold for a fuel tank housing of a new energy plug-in hybrid vehicle, the method comprising the following steps: Step 1: Design a multi-station mold suitable for the fuel tank housing and install it on the stamping line. Each station mold is responsible for a specific molding step, and the material is transferred from one station to the next station for continuous stamping through the installed transmission system; Step 2: Build an integrated inspection mechanism, that is, when the oil pan is stamped at multiple stations, configure the inspection parameters, conduct quality inspection immediately after the workpiece passes through each station, and adjust the stamping parameters of the next station according to the inspection results; Step 3: Build a multi-station intelligent adjustment mechanism, that is, record the stamping parameters of each tank shell stamping station in real time, and automatically adjust the stamping parameters of each station according to the quality inspection results to ensure the best process conditions.

[0008] As a preferred solution of the method for optimizing the stamping process of the mold for the fuel tank housing of the new energy plug-in hybrid vehicle of the present invention, the steps of the integrated detection mechanism are: S201: Collecting detection parameters through sensors , but not limited to: material thickness, deformation, temperature change and punching force; S202: Introducing time decay factor Represents the attenuation characteristics of the detection parameters over time; S203: Considering noise and interference factors, the periodic fluctuation characteristics in the signal are described by a modulation function f; S204: Combine the attenuation model and the modulation function to calculate the comprehensive influence of each detection parameter ; S205: Construct a dynamic adjustment function based on the comprehensive influence of the detection parameters , used to adjust the stamping parameters of the station after inspection; S206: Finally, the detection data of the entire monitoring period T is integrated to obtain the final quality detection reflection value .

[0009] As a preferred solution of the method for optimizing the stamping process of the fuel tank housing mold of the new energy plug-in hybrid vehicle of the present invention, the expression of the modulation function f is: ,in, is the amplitude coefficient of the modulating signal, is the modulation frequency of the detection parameter j, is the phase offset, indicating the initial phase of the signal; The comprehensive impact The expression is: ,in, is based on the time decay factor The time decay model introduced.

[0010] As a preferred solution of the method for optimizing the stamping process of the fuel tank housing mold of the new energy plug-in hybrid vehicle of the present invention, the expression of the adjustment function G is: ,in, It represents the real-time pressure change rate of the i-th station, and the calculation formula is expressed as: ,in, is the reference parameter of the i-th station, used for standardized adjustment; The expression of the quality detection reflection value is: .

[0011] As a preferred solution of the method for optimizing the stamping process of the mold for the fuel tank housing of the new energy plug-in hybrid vehicle of the present invention, the multi-station intelligent adjustment mechanism includes the following steps: S301: Define the real-time stamping parameters for each station , this parameter is a function of time t and changes dynamically with time; S302: Based on the comprehensive impact obtained in step 2 and quality inspection reflection value , construct an impact factor To express the comprehensive influence on stamping parameters; S303: Based on the impact factor , build an automatic adjustment function for stamping parameters ; S304: Based on all the parameters obtained above, calculate the stamping parameter adjustment amount of each station .

[0012] As a preferred solution of the method for optimizing the stamping process of the fuel tank housing mold of the new energy plug-in hybrid vehicle of the present invention, wherein: the stamping parameters The expression is: ,in, represents the initial stamping parameters, is the rate of change of the parameter of the i-th station at time t; The impact factor The expression is: , where k is an adjustment coefficient used to balance the comprehensive influence quantity and stamping parameters; The automatic adjustment function The expression is: ,in, It is a tuning parameter used to control the adjustment amplitude; The stamping parameter adjustment amount The final expression of is: ,in, Used to control the adjustment direction. When it is positive, When it is a positive value, it means increasing the stamping parameters, and when it is a negative value, A negative value means reducing the stamping parameters.

[0013] As a preferred solution of the method for optimizing the stamping process of the mold for the fuel tank housing of the new energy plug-in hybrid vehicle of the present invention, wherein: a first threshold value T1 and a second threshold value T2 are set; If the quality test reflects the value If it is greater than the set first threshold T1, the quality inspection result of the current station i is judged to be excellent, and the current stamping parameters are maintained. No change, or only minor adjustments; If the quality test reflects the value If the value is less than the set second threshold value T2, the quality inspection result of the current station iii is judged to be unqualified, and the stamping parameters are adjusted immediately. To improve the quality of finished products; If the quality test reflects the value Between the second threshold value T2 and the first threshold value T1, it is determined that the quality inspection result of the current station i is average, and the stamping parameters of the current station are Make appropriate adjustments and continue to monitor; If the quality test reflects the value If the value is greater than the first threshold value T1 for N consecutive times, it is determined that the process parameters of the current station i are stable and of good quality, and the current stamping parameters are enhanced. to increase the confidence of the process and reduce the sensitivity of future adjustments to maintain process stability; If the quality test reflects the value If the value is less than the second threshold value T2 for N consecutive times, it is determined that there is a persistent problem with the process parameters of the current station i, and the current stamping parameters are improved. The adjustment weights are adjusted and a more aggressive parameter correction strategy is immediately adopted, while increasing the frequency and strictness of inspections on subsequent workstations.

[0014] The present invention also discloses an optimization system for the stamping process of a new energy plug-in hybrid vehicle fuel tank housing mold, which includes the following functional modules: Multi-station mold design and control module, which designs and controls the multi-station mold for the tank shell molding, ensures that the mold at each station performs specific molding steps, and realizes continuous material transfer through the transmission system; The quality inspection and feedback module performs quality inspection on the workpieces completed at each station and generates feedback based on the inspection results to adjust the stamping parameters; Intelligent parameter adjustment module, based on quality inspection results, real-time adjustment of stamping parameters of each station to ensure the optimization of process conditions; And the comprehensive influencing factor calculation module calculates the comprehensive influencing factor of each station, evaluates the impact of the current station parameter adjustment on the subsequent stations and the overall process, and ensures that the process conditions of the subsequent stations are optimized; A computer device, comprising a memory and a processor, wherein the memory stores a computer program, wherein the processor implements the steps of the above-mentioned method for optimizing the stamping process of a mold for a fuel tank housing of a new energy plug-in hybrid vehicle when executing the computer program; A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for optimizing the stamping process of the mold for the fuel tank housing of a new energy plug-in hybrid vehicle.

[0015] Beneficial effects of the present invention: 1. Multi-station mold design: By improving the traditional single-station stamping to multi-station stamping, the production efficiency is improved, and multiple processes of complex fuel tank shells can be completed continuously on one production line, reducing the transfer time and error accumulation of workpieces between different processes; 2. Integrated quality inspection mechanism: An instant quality inspection system is set up after each workstation, so that the quality status of the workpiece after each workstation can be fed back immediately, and the stamping parameters of the next workstation can be dynamically adjusted according to the inspection results, avoiding the production of unqualified products and improving the product qualification rate; 3. Intelligent parameter adjustment: By building a multi-station intelligent adjustment mechanism, the system can record and analyze the stamping parameters of each station in real time, and automatically optimize the parameter settings based on the quality inspection results, thus realizing the intelligence and efficiency of the production process, reducing the dependence on the operator's experience, and improving the flexibility and adaptability of the production line. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them: Figure 1 A schematic flow chart of the method for optimizing the stamping process of the fuel tank housing mold of a new energy plug-in hybrid vehicle proposed in the present invention; Figure 2 This is a schematic diagram of adjusting process parameters based on the detection results of the optimization method for the stamping process of the new energy plug-in hybrid vehicle tank housing mold proposed in the present invention. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0018] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0019] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0020] Reference Figure 1 , as one embodiment of the present invention, provides a method for optimizing the stamping process of a mold for a fuel tank housing of a new energy plug-in hybrid vehicle, the method comprising the following steps: Step 1: Design a multi-station mold suitable for the fuel tank housing and install it on the stamping line. Each station mold is responsible for a specific molding step, and the installed transmission system transfers the material from one station to the next for continuous stamping.

[0021] Step 2: Build an integrated detection mechanism, that is, when the oil pan is stamped in multiple stations, configure the detection parameters, conduct quality inspection immediately after the workpiece passes through each station, and adjust the stamping parameters of the next station according to the inspection results.

[0022] Specifically, the steps of the integrated detection mechanism are: S201: Collecting detection parameters through sensors , including but not limited to: material thickness, deformation, temperature change and punching force.

[0023] S202: Introducing time decay factor Represents the attenuation characteristics of the detection parameters over time.

[0024] S203: Considering noise and interference factors, the periodic fluctuation characteristics in the signal are described by a modulation function f; the expression of the modulation function f is: , where α is the amplitude coefficient of the modulation signal, is the modulation frequency of the detection parameter j, is the phase offset, which indicates the initial phase of the signal.

[0025] S204: Combine the attenuation model and the modulation function to calculate the comprehensive influence of each detection parameter , the expression is: ,in, is based on the time decay factor The time decay model introduced.

[0026] S205: Construct a dynamic adjustment function based on the comprehensive influence of the detection parameters , used to adjust the stamping parameters of the station after detection; adjustment function The expression is: ,in, It represents the real-time pressure change rate of the i-th station, and the calculation formula is expressed as: ,in, is the reference parameter of the i-th station, which is used for standardized adjustment; this adjustment function is used to dynamically adjust the parameters of the stamping station according to the detection results to optimize the production process.

[0027] S206: Finally, the detection data of the entire monitoring period T is integrated to obtain the final quality detection reflection value , the expression of quality detection reflection value is: .

[0028] Minimum value: When the detection parameters are extremely stable and the deviation is minimal (i.e. D(i,j,t)≈R(i)), the Q(i) value is close to zero, indicating that no major adjustments are required; Maximum value. When there is an extreme deviation in the detection parameters (such as a sudden change in material thickness or deformation exceeding the standard), Q(i) will reach a high value, indicating that the stamping parameters of the next station need to be significantly adjusted.

[0029] Step 3: Build a multi-station intelligent adjustment mechanism, that is, record the stamping parameters of each tank shell stamping station in real time, and automatically adjust the stamping parameters of each station according to the quality inspection results to ensure the best process conditions.

[0030] The multi-station intelligent adjustment mechanism includes the following steps: S301: Define the real-time stamping parameters for each station , this parameter is a function of time t and changes dynamically with time; Stamping parameters The expression is: ,in, represents the initial stamping parameters, is the rate of change of the parameters of the ith station at time t.

[0031] S302: Based on the comprehensive impact obtained in step 2 and quality inspection reflection value , construct an impact factor To express the comprehensive influence on stamping parameters; Impact Factor The expression is: , where k is an adjustment coefficient used to balance the comprehensive influence and stamping parameters.

[0032] S303: Based on the impact factor , build an automatic adjustment function for stamping parameters , automatic adjustment function The expression is: ,in, It is a tuning parameter used to control the adjustment amplitude.

[0033] S304: Based on all the parameters obtained above, calculate the stamping parameter adjustment amount of each station , stamping parameter adjustment amount The final expression of is: ,in, Used to control the adjustment direction. When it is positive, When it is a positive value, it means increasing the stamping parameters, and when it is a negative value, A negative value means reducing the stamping parameters.

[0034] Set the first threshold value T1 and the second threshold value T2 of the quality detection reflection value. If the quality detection reflection value If it is greater than the set first threshold T1, the quality inspection result of the current station i is judged to be excellent, and the current stamping parameters are maintained. No change, or only minor adjustments; If the quality test reflects the value If the value is less than the set second threshold value T2, the quality inspection result of the current station iii is judged to be unqualified, and the stamping parameters are adjusted immediately. To improve the quality of finished products; If the quality test reflects the value Between the second threshold value T2 and the first threshold value T1, it is determined that the quality inspection result of the current station i is average, and the stamping parameters of the current station are Make appropriate adjustments and continue to monitor; If the quality test reflects the value If the value is greater than the first threshold value T1 for N consecutive times, it is determined that the process parameters of the current station i are stable and of good quality, and the current stamping parameters are enhanced. to increase the confidence of the process and reduce the sensitivity of future adjustments to maintain process stability; If the quality test reflects the value If the value is less than the second threshold value T2 for N consecutive times, it is determined that there is a persistent problem with the process parameters of the current station i, and the current stamping parameters are improved. The adjustment weights are adjusted and a more aggressive parameter correction strategy is immediately adopted, while increasing the frequency and strictness of inspections on subsequent workstations.

[0035] Reference Figure 2 It can be seen that the green dotted line represents the first threshold value T1 (set to 0.90). When the quality detection value is higher than this threshold, such as the detection value of 0.92 at the second station, it indicates that the workpiece quality is good and the process parameters may only need fine-tuning; the red dotted line represents the second threshold value T2 (set to 0.85). When the detection value is lower than T2, such as the detection value of 0.80 at the first station, the system will immediately make substantial adjustments to the process parameters of the station to correct the production problem; for detection values ​​between T1 and T2 (such as the detection value of 0.87 at the third station), the system will make appropriate adjustments and closely monitor the detection results of subsequent stations.

[0036] An optimization system for the stamping process of the fuel tank housing mold of a new energy plug-in hybrid vehicle based on the above optimization method includes the following functional modules: The multi-station mold design and control module designs and controls the multi-station mold for forming the fuel tank shell, ensuring that the mold of each station performs specific forming steps and realizes continuous material transfer through the transmission system; the quality inspection and feedback module performs quality inspection on the workpieces completed at each station and generates feedback based on the inspection results to adjust the stamping parameters; the intelligent parameter adjustment module adjusts the stamping parameters of each station in real time based on the quality inspection results to ensure the optimization of process conditions; and the comprehensive influencing factor calculation module calculates the comprehensive influencing factor of each station, evaluates the impact of the current station parameter adjustment on the subsequent stations and the overall process, and ensures that the process conditions of the subsequent stations are optimized.

[0037] In summary, the present invention improves production efficiency through multi-station mold design: by improving the traditional single-station stamping into multi-station stamping, multiple processes of complex oil tank shells can be completed continuously on one production line, reducing the transfer time and error accumulation of workpieces between different processes, and by constructing an integrated quality inspection mechanism: an instant quality inspection system is set after each station, so that the quality status of the workpiece after each station can be immediately fed back, and the stamping parameters of the next station are dynamically adjusted according to the inspection results, avoiding the production of defective products and improving the product qualification rate. By constructing a multi-station intelligent adjustment mechanism, the system can record and analyze the stamping parameters of each station in real time, and automatically optimize the parameter setting based on the quality inspection results, realizing the intelligence and efficiency of the production process, reducing the dependence on the operator's experience, and improving the flexibility and adaptability of the production line.

[0038] This embodiment also provides a computer device, which is suitable for the case of a method for optimizing the stamping process of a mold for a fuel tank housing of a new energy plug-in hybrid vehicle, comprising: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the method for optimizing the stamping process of a mold for a fuel tank housing of a new energy plug-in hybrid vehicle as proposed in the above embodiment.

[0039] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0040] The present embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the optimization method for realizing the stamping process of the mold for the fuel tank housing of a new energy plug-in hybrid vehicle proposed in the above embodiment is implemented; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0041] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An optimization method for the stamping process of a new energy plug-in hybrid vehicle fuel tank housing mold, characterized in that: The method comprises the following steps: Step 1: Design a multi-station mold suitable for the fuel tank housing and install it on the stamping line. Each station mold is responsible for a specific molding step, and the material is transferred from one station to the next station for continuous stamping through the installed transmission system; Step 2: Build an integrated inspection mechanism, that is, when the oil pan is stamped in multiple stations, configure the inspection parameters, conduct quality inspection immediately after the workpiece passes through each station, and adjust the stamping parameters of the next station according to the inspection results; Step 3: Build a multi-station intelligent adjustment mechanism, that is, record the stamping parameters of each tank shell stamping station in real time, and automatically adjust the stamping parameters of each station according to the quality inspection results to ensure the best process conditions.

2. The method for optimizing the stamping process of the fuel tank housing mold of a new energy plug-in hybrid vehicle according to claim 1 is characterized in that: The steps of the integrated detection mechanism are: S201: Collecting detection parameters through sensors , but not limited to: material thickness, deformation, temperature change and punching force; S202: Introducing time decay factor Represents the attenuation characteristics of the detection parameters over time; S203: Considering noise and interference factors, the periodic fluctuation characteristics in the signal are described by a modulation function f; S204: Combine the attenuation model and the modulation function to calculate the comprehensive influence of each detection parameter ; S205: Construct a dynamic adjustment function based on the comprehensive influence of the detection parameters , used to adjust the stamping parameters of the station after inspection; S206: Finally, the detection data of the entire monitoring period T is integrated to obtain the final quality detection reflection value .

3. The method for optimizing the stamping process of the fuel tank housing mold of a new energy plug-in hybrid vehicle according to claim 1 is characterized in that: The expression of the modulation function f is: ,in, is the amplitude coefficient of the modulating signal, is the modulation frequency of the detection parameter j, is the phase offset, indicating the initial phase of the signal; The comprehensive impact The expression is: ,in, is based on the time decay factor The time decay model introduced.

4. The method for optimizing the stamping process of the fuel tank housing mold of the new energy plug-in hybrid vehicle according to claim 3 is characterized by: The adjustment function The expression is: ,in, It represents the real-time pressure change rate of the i-th station, and the calculation formula is expressed as: ,in, is the reference parameter of the i-th station, which is used for standardization adjustment; the expression of the quality detection reflection value is: .

5. The method for optimizing the stamping process of the fuel tank housing mold of the new energy plug-in hybrid vehicle according to claim 4 is characterized in that: The multi-station intelligent adjustment mechanism comprises the following steps: S301: Define the real-time stamping parameters for each station , this parameter is a function of time t and changes dynamically with time; S302: Based on the comprehensive impact obtained in step 2 and quality inspection reflection value , construct an impact factor To express the comprehensive influence on stamping parameters; S303: Based on the impact factor , build an automatic adjustment function for stamping parameters ; S304: Based on all the parameters obtained above, calculate the stamping parameter adjustment amount of each station .

6. The method for optimizing the stamping process of the fuel tank housing mold of the new energy plug-in hybrid vehicle according to claim 5 is characterized by: The stamping parameters The expression is: ,in, represents the initial stamping parameters, is the rate of change of the parameter of the i-th station at time t; The impact factor The expression is: , where k is an adjustment coefficient used to balance the comprehensive influence quantity and stamping parameters; The automatic adjustment function The expression is: ,in, It is a tuning parameter used to control the adjustment amplitude; The stamping parameter adjustment amount The final expression of is: ,in, Used to control the adjustment direction. When it is positive, When it is a positive value, it means increasing the stamping parameters, and when it is a negative value, A negative value means reducing the stamping parameters.

7. The method for optimizing the stamping process of the fuel tank housing mold of the new energy plug-in hybrid vehicle according to claim 6 is characterized by: Setting a first threshold value T1 and a second threshold value T2; If the quality test reflects the value If it is greater than the set first threshold T1, the quality inspection result of the current station i is judged to be excellent, and the current stamping parameters are maintained. No change, or only minor adjustments; If the quality test reflects the value If the value is less than the set second threshold value T2, the quality inspection result of the current station iii is judged to be unqualified, and the stamping parameters are adjusted immediately. To improve the quality of finished products; If the quality test reflects the value Between the second threshold value T2 and the first threshold value T1, it is determined that the quality inspection result of the current station i is average, and the stamping parameters of the current station are Make appropriate adjustments and continue to monitor; If the quality test reflects the value If the value is greater than the first threshold value T1 for N consecutive times, it is determined that the process parameters of the current station i are stable and of good quality, and the current stamping parameters are enhanced. to increase the confidence of the process and reduce the sensitivity of future adjustments to maintain process stability; If the quality test reflects the value If the value is less than the second threshold value T2 for N consecutive times, it is determined that there is a persistent problem with the process parameters of the current station i, and the current stamping parameters are improved. The adjustment weights are adjusted and a more aggressive parameter correction strategy is immediately adopted, while increasing the frequency and strictness of inspections on subsequent workstations.

8. A system for optimizing the stamping process of a fuel tank shell mold for a new energy plug-in hybrid vehicle. Based on the method for optimizing the stamping process of a fuel tank shell mold for a new energy plug-in hybrid vehicle described in claim 8, the system includes the following functional modules: Multi-station mold design and control module, which designs and controls the multi-station mold for the tank shell molding, ensures that the mold at each station performs specific molding steps, and realizes continuous material transfer through the transmission system; The quality inspection and feedback module performs quality inspection on the workpieces completed at each station and generates feedback based on the inspection results to adjust the stamping parameters; Intelligent parameter adjustment module, based on quality inspection results, real-time adjustment of stamping parameters of each station to ensure the optimization of process conditions; And the comprehensive influencing factor calculation module calculates the comprehensive influencing factor of each workstation, evaluates the impact of the current workstation parameter adjustment on the subsequent workstations and the overall process, and ensures that the process conditions of the subsequent workstations are optimized.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for optimizing the stamping process of the mold for the fuel tank housing of a new energy plug-in hybrid vehicle as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for optimizing the stamping process of the mold for the fuel tank housing of a new energy plug-in hybrid vehicle as described in any one of claims 1 to 7 are implemented.

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