Laser-based battery pack shell local electrophoretic coating removal processing system

Abstract

The present invention relates to the field of laser processing technology, and in particular to a laser-based battery pack shell local electrophoretic coating removal processing system, the system comprising: an acquisition unit, which is used to acquire parameters of the battery pack shell; a planning unit, which is used to generate a removal route and a pre-removal thickness of a processing area; a spraying unit, which is used to perform thermal insulation spraying and electrophoretic coating; a laser removal unit, which is used to perform a first coating removal and a second coating removal; an analysis unit, which is used to determine whether the first coating removal is qualified, and to determine whether to perform visual inspection or increase the laser power, and to determine whether the second coating removal is qualified; a modeling unit, which is used to construct an electrophoretic coating model; the present invention utilizes the above-mentioned units to cooperate with each other, while improving the efficiency of laser coating removal, further improving the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system.

Description

Technical Field

[0001] The present invention relates to the field of laser processing technology, and in particular to a laser-based battery pack shell local electrophoretic coating removal processing system. Background Art

[0002] Battery pack shells are usually coated with electrophoretic coating to improve their protective performance. In some cases, such as battery pack repairs, upgrades, local defect repairs or reassembly, it is necessary to precisely remove the local electrophoretic coating for subsequent operations. Traditional coating removal methods, such as mechanical grinding and chemical corrosion, have problems such as low efficiency, difficult to control precision, and easy damage to the substrate. Laser removal technology has the advantages of fast processing speed, high precision, and small heat-affected zone. The use of a laser-based battery pack shell local electrophoretic coating removal processing system can significantly improve the efficiency and quality of coating removal, and can integrate advanced automation control and intelligent detection functions to achieve precise control and quality monitoring of the processing process.

[0003] Chinese patent application publication number CN119114534A discloses a method for selectively removing a transparent coating from a workpiece surface using laser scanning. This invention provides a method for selectively removing a transparent coating from a workpiece surface using laser scanning. First, a transparent flexible film is placed over the transparent coating on the workpiece surface. Photosensitive glue is then filled between the transparent flexible film and the workpiece. An ultraviolet laser is then used to penetrate the transparent flexible film to cure the photosensitive glue in the custom patterned portion. An infrared laser is then used to heat the cured photosensitive glue layer, transferring the heat to the transparent coating to soften it and further bond the two. Finally, the transparent flexible film is peeled off, removing the transparent coating in the custom patterned portion. This method achieves rapid and precise selective removal of the transparent coating from the workpiece surface without damaging the workpiece surface. It is convenient, fast, safe, and environmentally friendly, as well as pollution-free.

[0004] However, the above method has the following problems: it fails to effectively detect the characteristics of the electrophoretic coating through multiple laser removals and timely adjust the next laser removal, and fails to guide the formation of the electrophoretic coating through detection during the laser removal process. Summary of the Invention

[0005] To this end, the present invention provides a laser-based local electrophoretic coating removal processing system for a battery pack shell, which is used to overcome the problems in the prior art that the characteristics of the electrophoretic coating cannot be effectively detected through multiple laser removals and the next laser removal cannot be adjusted in time, and the generation of the electrophoretic coating cannot be guided by detection during the laser removal process.

[0006] To achieve the above objectives, the present invention provides a laser-based battery pack shell local electrophoretic coating removal processing system, comprising:

[0007] a collection unit configured to collect the initial coating thickness of the battery pack housing, the actual coating removal thickness of the first coating removal, and the substrate temperature of the processing area, perform visual inspection of the battery pack housing to generate an exposed area, and collect the light reflectivity of the processing area;

[0008] a planning unit connected to the acquisition unit, for generating a removal route and a pre-removal thickness of a processing area in combination with the initial coating thickness and the shell shape;

[0009] a spraying unit connected to the collecting unit, configured to perform thermal insulation spraying on the processing area based on the substrate temperature, and to perform electrophoretic coating on the battery pack housing based on the exposed area;

[0010] a laser removal unit, connected to the acquisition unit, the planning unit, and the spraying unit, respectively, for performing the first coating removal and the second coating removal on the processing area according to the removal route;

[0011] an analysis unit, connected to the acquisition unit, the planning unit, and the laser removal unit, respectively, for determining whether the first coating removal is qualified based on the actual removal thickness and the expected removal thickness, determining whether to perform visual inspection or increase laser power, and determining whether the second coating removal is qualified based on the light reflectivity;

[0012] A modeling unit is connected to the acquisition unit and the analysis unit respectively, and is used to construct an electrophoretic coating model to adjust the electrophoretic parameters of the next electrophoretic coating.

[0013] Furthermore, the planning unit includes:

[0014] a shell shape subunit, which is used to collect the shell shape of the processing area;

[0015] The coating distribution subunit is connected to the shell shape subunit and the acquisition unit respectively, and is used to analyze and record the coating thickness of the processing area and generate the removal route in combination with the shell shape.

[0016] Furthermore, the spraying unit includes:

[0017] a thermal insulation spraying subunit, connected to the acquisition unit, for comparing the substrate temperature with a preset temperature, performing the thermal insulation spraying on the processing area according to the comparison result, and acquiring the spraying thickness;

[0018] an electrophoretic coating subunit, connected to the collection unit, for performing the electrophoretic coating on the battery pack housing based on the exposed area;

[0019] The preset temperature is positively correlated with the laser power.

[0020] Furthermore, the laser removal unit includes:

[0021] A first laser sub-unit is connected to the planning unit and is used to perform the first coating removal on the processing area according to the removal route, wherein the laser is turned off when the laser reaches a state where the removal area on the removal route has been completed.

[0022] Furthermore, the laser removal unit further comprises:

[0023] A second laser sub-unit is connected to the planning unit and the spraying unit respectively, and is used to perform the second coating removal on the processing area according to the spraying thickness in combination with the removal route.

[0024] Furthermore, the analysis unit includes:

[0025] A thickness analysis subunit is connected to the acquisition unit and the planning unit, and is used to calculate the thickness difference between the actual removal thickness and the pre-removal thickness, compare the thickness difference with the preset thickness difference, and determine whether the first coating removal is qualified based on the comparison result.

[0026] The preset thickness difference is negatively correlated with the laser power.

[0027] Furthermore, the analysis unit further includes:

[0028] A visual analysis subunit is respectively connected to the acquisition unit, the planning unit and the thickness analysis subunit, and is used to determine whether to perform the visual inspection or increase the laser power in combination with the actual removal thickness and the pre-removal thickness when the first coating removal is judged to be unqualified.

[0029] Furthermore, the analysis unit further includes:

[0030] A reflectivity analysis subunit is connected to the acquisition unit and the planning unit respectively, and is used to compare the light reflectivity with the first preset reflectivity and the second preset reflectivity respectively, and determine whether the second coating removal is qualified according to the comparison result.

[0031] The first preset reflectivity and the second preset reflectivity are respectively negatively correlated with the second coating removal time, and the first preset reflectivity is greater than the second preset reflectivity.

[0032] Furthermore, the modeling unit constructs the electrophoretic coating model based on the actual removal thickness, the exposed area, the light reflectivity and the shell shape to adjust the electrophoretic parameters of the next electrophoretic coating, wherein the electrophoretic parameters include electrophoretic voltage, electrophoretic time and electrophoretic temperature.

[0033] Furthermore, the acquisition unit includes:

[0034] a thickness subunit, configured to collect the initial coating thickness of the battery pack housing and collect the actual removed thickness of the battery pack housing after the first coating removal is completed;

[0035] a temperature subunit, configured to collect the temperature of the substrate in the processing area;

[0036] a visual subunit, configured to, when the first coating removal is determined to be unqualified, perform edge detection on the processing area to calculate the exposed area of the substrate and determine whether there are bubbles or impurities in the processing area;

[0037] The reflectivity subunit is used to collect the light reflectivity of the processing area in the state where the second coating removal is completed.

[0038] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention plans the path of the processing area based on the detection of the electrophoretic coating on the battery pack shell, comprehensively covers the processing area, reduces the area of repeated movement in the processing area, and accurate path planning avoids ineffective repeated movement of the processing equipment in the processing area. The detection-based path planning enables the processing equipment to complete processing tasks such as electrophoretic coating removal with the optimal route, greatly shortens the processing time, increases the processing volume per unit time, and thus improves the overall production efficiency. Comprehensive coverage of the processing area and reduction of repeated movement can make the processing process more uniform and precise. When removing the electrophoretic coating, the present invention avoids the situation where the battery pack shell substrate is damaged due to excessive removal of the coating in local areas due to repeated processing. At the same time, it can also ensure that all areas that need to be processed can be fully processed, ensuring the consistency and integrity of the coating removal, thereby improving the processing quality of the product and effectively improving the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system.

[0039] Furthermore, the present invention detects the temperature of the battery pack shell after the first laser removal is completed and performs thermal insulation spraying on the area with higher temperature to protect the battery pack shell during the next laser removal process. The battery pack shell is usually made of metal or other specific materials. Excessive temperature may cause the mechanical properties (such as strength, hardness, toughness, etc.) of the base material to change. By performing thermal insulation spraying on the high-temperature area, heat transfer can be effectively blocked, and the temperature rise of the shell base can be reduced, thereby avoiding the degradation of material properties caused by excessive temperature, ensuring the structural strength and stability of the battery pack shell, and improving its safety and reliability in subsequent use. Thermal insulation spraying can make the shell temperature distribution more uniform, reduce the generation of thermal stress, and thereby reduce the degree of thermal deformation, ensure the dimensional accuracy and shape stability of the battery pack shell, and further improve the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system.

[0040] Furthermore, the present invention effectively detects the uniformity and adhesion of the electrophoretic coating by detecting the thickness of the laser-removed coating and the exposed area formed by the coating falling beyond the boundary. By accurately detecting the coating thickness, it can be determined whether the coating is evenly covered. The detection results of the coating thickness and the exposed area can provide a direct basis for the optimization of the production process. If the coating thickness is found to be uneven, the parameters in the electrophoretic process, such as voltage, time, paint concentration, etc., can be adjusted to achieve more uniform coating coverage. The uniform and highly adhesive electrophoretic coating can effectively prevent the external environment from corroding the battery and avoid safety accidents such as battery short circuit due to damage to the shell. By detecting the uniformity and adhesion of the coating, the good protective performance of the shell can be ensured, the safety of the battery pack can be enhanced, and the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system is further improved.

[0041] Furthermore, the present invention combines the collection of various parameters in the process of laser removal of electrophoretic coating with the shape of the battery pack shell to generate an electrophoretic coating model to adjust the electrophoretic parameters of the next electrophoretic coating. Through model analysis, the electrophoretic parameters can be adjusted in a targeted manner, such as increasing the electrophoretic voltage or extending the electrophoretic time, so that the next electrophoresis can obtain a more uniform coating that meets the quality requirements, effectively avoiding problems such as local coating being too thick or too thin, and missing coating, and improving the protective performance and appearance quality of the coating. According to the generated electrophoretic coating model and the collected parameters, it is possible to analyze which electrophoretic parameters have a greater impact on the coating quality. By continuously optimizing the electrophoretic parameters, it is possible to improve production efficiency, reduce the scrap rate and rework rate in the production process, and reduce production costs. Through accurate model guidance and parameter adjustment, the coating obtained in the next electrophoresis can better resist the erosion of the external environment. The high-quality electrophoretic coating can effectively protect the battery pack shell while reducing the impact of laser removal of the coating on the battery pack shell, further improving the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a structural block diagram of the laser-based battery pack shell local electrophoretic coating removal processing system of the present invention;

[0043] Figure 2 A logic diagram for determining to perform thermal insulation spraying according to an embodiment of the present invention;

[0044] Figure 3 This is a structural block diagram of an analysis unit according to an embodiment of the present invention;

[0045] Figure 4 This is a logic diagram for determining whether the second coating removal is qualified according to an embodiment of the present invention. DETAILED DESCRIPTION

[0046] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0047] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0048] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0049] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0050] See also Figure 1 As shown in FIG, which is a structural block diagram of a laser-based battery pack shell local electrophoretic coating removal processing system of the present invention, an embodiment of the present invention provides a laser-based battery pack shell local electrophoretic coating removal processing system, comprising:

[0051] A collection unit, which is used to collect the initial coating thickness of the battery pack shell, the actual removal thickness of the first coating removal and the substrate temperature of the processing area, and to perform visual inspection of the battery pack shell to generate the exposed area, and to collect the light reflectivity of the processing area;

[0052] a planning unit connected to the acquisition unit for generating a removal route and a pre-removal thickness of a processing area in combination with an initial coating thickness and a shell shape;

[0053] A spraying unit connected to the collection unit is used to perform thermal insulation spraying on the processing area based on the substrate temperature and to perform electrophoretic coating on the battery pack shell based on the exposed area;

[0054] a laser removal unit, which is connected to the acquisition unit, the planning unit, and the spraying unit, respectively, and is used to perform a first coating removal and a second coating removal on the processing area according to the removal route;

[0055] an analysis unit, which is connected to the acquisition unit, the planning unit, and the laser removal unit, respectively, and is used to determine whether the first coating removal is qualified based on the actual removal thickness and the expected removal thickness, and to determine whether to perform visual inspection or increase the laser power, and to determine whether the second coating removal is qualified based on the light reflectivity;

[0056] The modeling unit is connected to the acquisition unit and the analysis unit respectively, and is used to build an electrophoretic coating model to adjust the electrophoretic parameters of the next electrophoretic coating.

[0057] Specifically, the planning units include:

[0058] A shell shape subunit, which is used to collect the shell shape of the processing area;

[0059] The coating distribution subunit is connected to the shell shape subunit and the acquisition unit respectively, and is used to analyze and record the coating thickness of the processing area and generate a removal route based on the shell shape.

[0060] In practice, the measurement area is divided according to the shape and size of the shell. A grid-based approach is used. For example, the shell surface is divided into several small squares with sides of a certain size (such as 10mm x 10mm). A contact probe thickness gauge is used to measure the coating thickness in each divided measurement area. Within each area, multiple measurement points (such as the center point and four corner points) are selected for measurement, and the average value is taken as the coating thickness value for that area. The coating thickness value of each measurement area and the corresponding location information (such as grid coordinates) are recorded to form a detailed coating thickness distribution data table.

[0061] During implementation, 3D scanning technology is used to scan the battery pack shell to generate a 3D model of the shell. The previously recorded coating thickness data is associated with the 3D shell model to generate a 3D image of the coating thickness distribution. The route for laser coating removal is generated on the 3D shell model. Different scanning methods such as linear scanning, spiral scanning, and partition scanning are used. They are selected and combined according to actual conditions. The overlap rate between adjacent scanning paths is considered to ensure that the coating can be completely removed while avoiding over-processing. The overlap rate can be adjusted between 30% and 70%.

[0062] Specifically, the present invention plans the path of the processing area based on the detection of the electrophoretic coating on the battery pack shell, comprehensively covers the processing area, reduces the area of repeated movement in the processing area, and accurate path planning avoids ineffective repeated movement of the processing equipment in the processing area. The detection-based path planning enables the processing equipment to complete processing tasks such as electrophoretic coating removal in the optimal route, greatly shortens the processing time, increases the processing volume per unit time, and thus improves the overall production efficiency. Comprehensive coverage of the processing area and reduction of repeated movement can make the processing process more uniform and precise. When removing the electrophoretic coating, it avoids the situation where the battery pack shell substrate is damaged due to excessive removal of the coating in local areas due to repeated processing. At the same time, it can also ensure that all areas that need to be processed can be fully processed, ensuring the consistency and integrity of the coating removal, thereby improving the processing quality of the product and effectively improving the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system.

[0063] See also Figure 2 As shown in FIG. 1 , which is a logic diagram for determining to perform thermal insulation spraying according to an embodiment of the present invention, the spraying unit includes:

[0064] The thermal insulation spraying subunit is connected to the collection unit and is used to compare the substrate temperature with the preset temperature, perform thermal insulation spraying on the processing area according to the comparison result, and collect the spraying thickness;

[0065] If the substrate temperature is greater than or equal to the preset temperature, it is determined that thermal insulation spraying is performed on the processing area, and the spraying thickness is collected;

[0066] If the substrate temperature is lower than the preset temperature, it is determined that the processing area will not be subjected to thermal insulation spraying;

[0067] In a specific embodiment, the preset temperature is set to 150 degrees Celsius. If the substrate temperature is 187 degrees Celsius, which is greater than the preset temperature, it is determined that thermal insulation spraying is performed on the processing area, and the spraying thickness is collected;

[0068] If the substrate temperature is 132 degrees Celsius, which is lower than the preset temperature, it is determined that the processing area will not be subjected to thermal insulation spraying;

[0069] An electrophoretic coating subunit, which is connected to the collection unit and is used to perform electrophoretic coating on the battery pack shell based on the exposed area;

[0070] The preset temperature is positively correlated with the laser power.

[0071] It can be understood that for the same substrate and coating, the higher the laser power, the more energy is transferred to the coating and substrate per unit time, and the more obvious the increase in substrate surface temperature is. Therefore, the preset temperature is positively correlated with the laser power.

[0072] Optionally, for an aluminum alloy substrate, the laser power is 50 W and the preset temperature is 80 degrees Celsius;

[0073] The laser power is 100W and the preset temperature is 150 degrees Celsius;

[0074] The laser power is 200W and the preset temperature is 280 degrees Celsius.

[0075] It is understandable that the battery pack housing is electrophoretically coated based on the exposed area, the exposed part is polished to enlarge the exposed part, the removed part and the part where the electrophoretic coating is completed are covered, and the electrophoretic coating is re-performed.

[0076] Specifically, the present invention detects the temperature of the battery pack shell after the first laser removal is completed and performs thermal insulation spraying on the area with higher temperature to protect the battery pack shell during the next laser removal process. The battery pack shell is usually made of metal or other specific materials. Excessive temperature may cause the mechanical properties (such as strength, hardness, toughness, etc.) of the base material to change. By performing thermal insulation spraying on the high-temperature area, heat transfer can be effectively blocked, and the temperature rise of the shell base can be reduced, thereby avoiding the degradation of material properties caused by excessive temperature, ensuring the structural strength and stability of the battery pack shell, and improving its safety and reliability in subsequent use. Thermal insulation spraying can make the shell temperature distribution more uniform, reduce the generation of thermal stress, and thereby reduce the degree of thermal deformation, ensure the dimensional accuracy and shape stability of the battery pack shell, and further improve the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system.

[0077] Specifically, the laser removal unit includes:

[0078] The first laser sub-unit is connected to the planning unit and is used to perform a first coating removal on the processing area according to the removal route, wherein the laser is turned off when the laser reaches a state where the removal area on the removal route has been completed.

[0079] It is understandable that the laser processing process is monitored in real time using visual equipment such as cameras. Through image recognition technology, the image of the processing area is analyzed to determine which areas have been removed. When the laser travels to these areas, the visual recognition system transmits a signal to the control system to shut down the laser.

[0080] Specifically, the laser removal unit also includes:

[0081] The second laser sub-unit is connected to the planning unit and the spraying unit respectively, and is used to perform a second coating removal on the processing area according to the spraying thickness and the removal route.

[0082] It is understood that the selection of appropriate thermal insulation materials depends on factors such as the substrate material, laser processing parameters, and the operating environment. For example, for metal substrates, ceramic-based thermal insulation coatings with high temperature resistance and low thermal conductivity are selected; for applications with strict weight requirements, lightweight aerogel insulation materials are selected.

[0083] See also Figure 3 As shown in FIG, which is a structural block diagram of an analysis unit according to an embodiment of the present invention, the analysis unit includes:

[0084] The thickness analysis subunit is connected to the acquisition unit and the planning unit to calculate the thickness difference between the actual removal thickness and the pre-removal thickness, compare the thickness difference with the preset thickness difference, and determine whether the first coating removal is qualified based on the comparison result.

[0085] If the thickness difference is less than or equal to the preset thickness difference, the first coating removal is determined to be qualified;

[0086] If the thickness difference is greater than the preset thickness difference, the first coating removal is judged to be unqualified;

[0087] In a specific embodiment, the preset thickness difference is set to 5 microns. If the thickness difference is 3 microns, which is less than the preset thickness difference, the first coating removal is determined to be qualified.

[0088] If the thickness difference is 8 microns, which is greater than the preset thickness difference, the first coating removal is judged to be unqualified;

[0089] The preset thickness difference is negatively correlated with the laser power.

[0090] It is understandable that within the normal working range, as the laser power increases, the speed of laser coating removal increases, the removal depth error decreases, and the coating can be removed more evenly. Therefore, the preset thickness difference is negatively correlated with the laser power.

[0091] Optionally, for an aluminum alloy substrate, the laser power is 50 W and the preset thickness difference is 5 μm;

[0092] The laser power is 100W and the preset thickness difference is 3 microns;

[0093] The laser power is 200W and the preset thickness difference is 1 micron.

[0094] Specifically, the analysis unit also includes:

[0095] The visual analysis subunit is connected to the acquisition unit, the planning unit and the thickness analysis subunit respectively, and is used to determine whether to perform visual inspection or increase the laser power based on the actual removal thickness and the expected removal thickness when the first coating removal is judged to be unqualified.

[0096] If the actual removal thickness is greater than or equal to the pre-removal thickness, it is determined that visual inspection is to be performed;

[0097] If the actual removal thickness is less than the pre-removal thickness, it is determined that the laser power should be increased during the next laser removal of the coating.

[0098] In a specific embodiment, when the first coating removal is determined to be unqualified, the actual removal thickness is set to 29 microns and the pre-removal thickness is set to 25 microns. If the actual removal thickness is greater than or equal to the pre-removal thickness, it is determined to perform visual inspection.

[0099] Specifically, the present invention effectively detects the uniformity and adhesion of the electrophoretic coating by detecting the thickness of the laser-removed coating and the exposed area formed by the coating falling beyond the boundary. By accurately detecting the coating thickness, it can be determined whether the coating is evenly covered. The detection results of the coating thickness and the exposed area can provide a direct basis for the optimization of the production process. If the coating thickness is found to be uneven, the parameters in the electrophoretic process, such as voltage, time, paint concentration, etc., can be adjusted to achieve more uniform coating coverage. The uniform and highly adhesive electrophoretic coating can effectively prevent the external environment from corroding the battery and avoid safety accidents such as battery short circuit due to damage to the shell. By detecting the uniformity and adhesion of the coating, the good protective performance of the shell can be ensured, the safety of the battery pack can be enhanced, and the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system is further improved.

[0100] See also Figure 4 As shown, it is a logic diagram for determining whether the second coating removal is qualified according to an embodiment of the present invention. The analysis unit also includes:

[0101] The reflectivity analysis subunit is connected to the acquisition unit and the planning unit respectively, and is used to compare the light reflectivity with the first preset reflectivity and the second preset reflectivity, and determine whether the second coating removal is qualified according to the comparison results.

[0102] If the light reflectivity is greater than or equal to the first preset reflectivity, it is determined that the second coating removal is qualified;

[0103] If the light reflectivity is less than the first preset reflectivity and greater than or equal to the second preset reflectivity, the second coating is determined to be unqualified and there is coating residue;

[0104] If the light reflectivity is less than the second preset reflectivity, it is determined that the second coating removal is unqualified and the battery pack shell is damaged;

[0105] In a specific embodiment, the first preset reflectivity is set to 85%, and the second preset reflectivity is set to 55%. If the light reflectivity is 87% and is greater than the first preset reflectivity, it is determined that the second coating removal is qualified;

[0106] If the light reflectivity is 72%, which is less than the first preset reflectivity and greater than the second preset reflectivity, the second coating is determined to be unqualified and there is coating residue;

[0107] If the light reflectivity is 47% and is less than the second preset reflectivity, it is determined that the second coating removal is unqualified and the battery pack casing is damaged.

[0108] The first preset reflectivity and the second preset reflectivity are respectively negatively correlated with the second coating removal time, and the first preset reflectivity is greater than the second preset reflectivity.

[0109] It is understandable that the longer the second coating removal time is, the more energy the laser accumulates on the coating. Longer laser irradiation causes melting, ablation, or the formation of more tiny pits and protrusions on the surface of the substrate. This change in the microstructure will cause more diffuse reflection of light on the surface, thereby reducing the light reflectivity of the surface. Therefore, the first preset reflectivity and the second preset reflectivity are negatively correlated with the second coating removal time, respectively.

[0110] Optionally, for the electrophoretic coating on the aluminum alloy substrate, the coating removal time is 30 seconds, the first preset reflectivity is 90%, and the second preset reflectivity is 70%;

[0111] The coating removal time is 40 seconds, the first preset reflectivity is 85%, and the second preset reflectivity is 55%;

[0112] The coating removal time is 50 seconds, the first preset reflectivity is 80%, and the second preset reflectivity is 40%.

[0113] Specifically, the modeling unit constructs an electrophoretic coating model based on the actual removal thickness, exposed area, light reflectivity and shell shape to adjust the electrophoretic parameters of the next electrophoretic coating, and the electrophoretic parameters include electrophoretic voltage, electrophoretic time and electrophoretic temperature.

[0114] In implementation, data on actual removal thickness, exposed area, and light reflectivity are correlated with the shell's 3D model. Attribute information is assigned to each measurement point or region in the modeling software. Finite element analysis simulates the distribution of electric, flow, and temperature fields during electrophoresis, allowing calculation of coating deposition under varying conditions. Computational fluid dynamics (CFD) analyzes the impact of the electrophoretic fluid's flow characteristics on the coating. The modeling software inputs the shell's 3D shape data, the electrophoretic fluid's physicochemical properties (such as conductivity, viscosity, and density), and the current electrophoretic parameters (electrophoretic voltage, time, and temperature). Based on the actual removal thickness, exposed area, and light reflectivity data, the model is initialized to reflect the current coating state. The model's accuracy is verified by comparing the calculated results with the actual measured data through a simulated electrophoresis process. If the model results deviate significantly from the actual data, the cause is analyzed and model parameters adjusted, such as by modifying the electrophoretic fluid's conductivity or adjusting the electric field distribution, until the model accurately reflects the actual conditions.

[0115] It is understandable that, based on the model simulation results, if the current coating thickness is insufficient, the electrophoretic voltage can be appropriately increased to enhance the electric field strength and promote the deposition of coating particles; conversely, if the coating is too thick, the electrophoretic voltage should be reduced. At the same time, the edge effect and coating defects that may be caused by excessive voltage should be considered, and the voltage adjustment range should be reasonably controlled; extending the electrophoretic time usually increases the coating thickness; increasing the temperature can reduce the viscosity of the electrophoretic fluid and increase the migration speed of the coating particles.

[0116] As you can see, the adjusted electrophoretic parameters are input into the electrophoretic coating model for simulation analysis to predict the quality and performance of the next electrophoretic coating. The adjusted parameters are then checked to see if they meet target requirements, such as uniform coating thickness, adhesion, and corrosion resistance. If the simulation results are unsatisfactory, the electrophoretic parameters are adjusted again, and the simulation verification process is repeated until a satisfactory result is obtained.

[0117] Specifically, the present invention combines the collection of various parameters in the process of laser removal of electrophoretic coating with the shape of the battery pack shell to generate an electrophoretic coating model to adjust the electrophoretic parameters of the next electrophoretic coating. Through model analysis, the electrophoretic parameters can be adjusted in a targeted manner, such as increasing the electrophoretic voltage or extending the electrophoretic time, so that the next electrophoresis can obtain a more uniform coating that meets the quality requirements, effectively avoiding problems such as local coating being too thick or too thin, and missing coating, and improving the protective performance and appearance quality of the coating. According to the generated electrophoretic coating model and the collected parameters, it is possible to analyze which electrophoretic parameters have a greater impact on the coating quality. By continuously optimizing the electrophoretic parameters, it is possible to improve production efficiency, reduce the scrap rate and rework rate in the production process, and reduce production costs. Through accurate model guidance and parameter adjustment, the coating obtained in the next electrophoresis can better resist the erosion of the external environment. The high-quality electrophoretic coating can effectively protect the battery pack shell while reducing the impact of laser removal of the coating on the battery pack shell, further improving the accuracy of the laser-based battery pack shell local electrophoretic coating removal processing system.

[0118] Specifically, the acquisition unit includes:

[0119] A thickness subunit, which is used to collect the initial coating thickness of the battery pack shell and the actual removed thickness of the battery pack shell after the first coating removal is completed;

[0120] a temperature subunit for collecting the substrate temperature in the processing area;

[0121] A vision subunit, which is used to perform edge detection on the processing area to calculate the exposed area of the substrate and determine whether there are bubbles or impurities in the processing area when the first coating removal is determined to be unqualified;

[0122] The reflectivity subunit is used to collect the light reflectivity of the processing area in the state where the second coating removal is completed.

[0123] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0124] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A laser-based battery pack shell local electrophoretic coating removal processing system, characterized in that: include: a collection unit configured to collect the initial coating thickness of the battery pack housing, the actual coating removal thickness of the first coating removal, and the substrate temperature of the processing area, perform visual inspection of the battery pack housing to generate an exposed area, and collect the light reflectivity of the processing area; a planning unit connected to the acquisition unit, for generating a removal route and a pre-removal thickness of a processing area in combination with the initial coating thickness and the shell shape; a spraying unit connected to the collecting unit, configured to perform thermal insulation spraying on the processing area based on the substrate temperature, and to perform electrophoretic coating on the battery pack housing based on the exposed area; a laser removal unit, connected to the acquisition unit, the planning unit, and the spraying unit, respectively, for performing the first coating removal and the second coating removal on the processing area according to the removal route; an analysis unit, connected to the acquisition unit, the planning unit, and the laser removal unit, respectively, for determining whether the first coating removal is qualified based on the actual removal thickness and the expected removal thickness, determining whether to perform visual inspection or increase laser power, and determining whether the second coating removal is qualified based on the light reflectivity; a modeling unit, connected to the acquisition unit and the analysis unit, respectively, for constructing an electrophoretic coating model to adjust the electrophoretic parameters of the next electrophoretic coating; The spraying unit includes a thermal insulation spraying subunit, which is connected to the collection unit and is used to compare the substrate temperature with a preset temperature, perform the thermal insulation spraying on the processing area according to the comparison result, and collect the spraying thickness; if the substrate temperature is greater than or equal to the preset temperature, it is determined that the thermal insulation spraying is performed on the processing area, and the spraying thickness is collected; if the substrate temperature is less than the preset temperature, it is determined that the thermal insulation spraying is not performed on the processing area; The analysis unit includes a thickness analysis subunit, which is connected to the acquisition unit and the planning unit, and is used to calculate the thickness difference between the actual removal thickness and the pre-removal thickness, compare the thickness difference with a preset thickness difference, and determine whether the first coating removal is qualified based on the comparison result. The preset thickness difference is negatively correlated with the laser power.

2. The laser-based battery pack shell local electrophoretic coating removal processing system according to claim 1 is characterized in that: The planning unit includes: a shell shape subunit, which is used to collect the shell shape of the processing area; The coating distribution subunit is connected to the shell shape subunit and the acquisition unit respectively, and is used to analyze and record the coating thickness of the processing area and generate the removal route in combination with the shell shape.

3. The laser-based battery pack shell local electrophoretic coating removal processing system according to claim 2, characterized in that: The spraying unit also includes: an electrophoretic coating subunit, connected to the collection unit, for performing the electrophoretic coating on the battery pack housing based on the exposed area; The preset temperature is positively correlated with the laser power.

4. The laser-based battery pack shell local electrophoretic coating removal processing system according to claim 3 is characterized in that: The laser removal unit comprises: A first laser sub-unit is connected to the planning unit and is used to perform the first coating removal on the processing area according to the removal route, wherein the laser is turned off when the laser reaches a state where the removal area on the removal route has been completed.

5. The laser-based battery pack shell local electrophoretic coating removal processing system according to claim 4 is characterized in that: The laser removal unit also includes: A second laser sub-unit is connected to the planning unit and the spraying unit respectively, and is used to perform the second coating removal on the processing area according to the spraying thickness in combination with the removal route.

6. The laser-based battery pack shell local electrophoretic coating removal processing system according to claim 5, characterized in that: The analysis unit further comprises: A visual analysis subunit is respectively connected to the acquisition unit, the planning unit and the thickness analysis subunit, and is used to determine whether to perform the visual inspection or increase the laser power in combination with the actual removal thickness and the pre-removal thickness when the first coating removal is judged to be unqualified.

7. The laser-based battery pack shell local electrophoretic coating removal processing system according to claim 6, characterized in that: The analysis unit further comprises: A reflectivity analysis subunit is connected to the acquisition unit and the planning unit respectively, and is used to compare the light reflectivity with the first preset reflectivity and the second preset reflectivity, and determine whether the second coating removal is qualified according to the comparison results. The first preset reflectivity and the second preset reflectivity are respectively negatively correlated with the second coating removal time, and the first preset reflectivity is greater than the second preset reflectivity.

8. The laser-based battery pack shell local electrophoretic coating removal processing system according to claim 7, characterized in that: The modeling unit constructs the electrophoretic coating model based on the actual removal thickness, the exposed area, the light reflectivity and the shell shape to adjust the electrophoretic parameters of the next electrophoretic coating, wherein the electrophoretic parameters include electrophoretic voltage, electrophoretic time and electrophoretic temperature.

9. The laser-based battery pack shell local electrophoretic coating removal processing system according to claim 8, characterized in that: The acquisition unit includes: a thickness subunit, configured to collect the initial coating thickness of the battery pack housing and collect the actual removed thickness of the battery pack housing after the first coating removal is completed; a temperature subunit, configured to collect the temperature of the substrate in the processing area; a visual subunit, configured to, when the first coating removal is determined to be unqualified, perform edge detection on the processing area to calculate the exposed area of the substrate and determine whether there are bubbles or impurities in the processing area; The reflectivity subunit is used to collect the light reflectivity of the processing area in the state where the second coating removal is completed.

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