Power battery heat exchanger raw material cutting method based on CCD vision positioning

Abstract

The present invention discloses a method for cutting raw materials for power battery heat exchangers based on CCD visual positioning, which belongs to the technical field of power battery heat exchanger manufacturing. In order to solve the problem that cutting is time-consuming and labor-intensive and has a high scrap rate in the early stage, a method is used to locate predetermined locations on a soft module into make points through CCD visual positioning, and then visual positioning is performed based on multiple make points to automatically find the cutting origin of the product, achieving the advantages of one-time positioning and multiple automatic positioning and point-finding cutting. Compared with traditional contour positioning cutting, it is more efficient and reduces the scrap rate and R&D costs. It can be operated without the use of highly skilled employees, accurately determines the key areas corresponding to the captured image, reduces the processing range, and improves processing efficiency. Based on the make graphics, the system can quickly verify the make graphics, improve the verification rate of the make points and the accuracy of visual positioning matching.

Description

Technical Field

[0001] The present invention relates to the technical field of power battery heat exchanger manufacturing, and in particular to a power battery heat exchanger raw material cutting method based on CCD visual positioning. Background Art

[0002] With the development of new energy vehicles, users' requirements for electric vehicles are constantly increasing. OEMs have increasingly higher requirements for the power performance and fast charging performance of power battery systems. This is accompanied by an increase in the requirements for battery system cooling design. Under high-rate charge and discharge conditions, traditional natural cooling and forced air cooling often cannot meet the heat dissipation requirements, and liquid cooling with higher heat dissipation efficiency has become more and more the focus of engineers. Correspondingly, the design, materials, and processing technology of the water cooling system will be key factors in improving cooling efficiency.

[0003] When manufacturing water-cooling plates for power batteries, the runners of the plates need to be stamped and then trimmed. Especially for prototypes, in order to save R&D costs, the runner plates are generally stamped with soft molds and are not equipped with trimming dies. A cutting machine is required to trim the runner plates. However, in actual operation, the following problems still exist:

[0004] 1. Most of the existing methods for trimming runner plates are to fix the profile on the cutting machine in advance, adjust the profile, and then cut the runner. This method of cutting is not only time-consuming and labor-intensive, but also has a high scrap rate in the early debugging stage. It also requires higher operating proficiency of the operators, which increases labor costs and R&D costs.

[0005] 2. If a positioning error occurs when the image is initially positioned during visual positioning, it will cause errors in subsequent cutting work, affect the verification rate and the accuracy of visual positioning matching, and affect the quality of the finished product. Summary of the Invention

[0006] The purpose of the present invention is to provide a method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning to solve the problems raised in the above background technology.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solution: a method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning, comprising the following steps:

[0008] Step 1: Select the material: Select an aluminum material that is larger than the size of the product to be cut and has a single-layer composite layer. Perform DDG double-sided grinding on the selected aluminum material to ensure the flatness of the single-piece profile and set aside;

[0009] Step 2: Die-casting runner: Prepare a drawing with positioning points on the outer contour, make a soft mold according to the mold drawing, and use the soft mold to die-cast the aluminum material selected in step 1. After die-casting, remove the nozzle waste from the product. During the stamping process, the single-layer composite layer faces upward to prepare a soft mold for standby use;

[0010] Step 3: Soft module positioning: The prepared soft module is placed on a cutting machine equipped with CCD visual positioning. The displacement detector detects the distance of the aluminum material and transmits the detected aluminum material distance information to the remote control. The remote control controls the start and stop of the cutting machine according to the received aluminum material distance and the preset aluminum material distance value. The red light positioning on the cutting machine is used to perform benchmark leveling on the soft module, so that the outer contour of the soft module is parallel to the outer contour of the cutting machine operating table, and is ready for use.

[0011] Step 4: Locate the make point: Use the cutting software on the CCD cutting machine to open the drawing of the required cutting soft module, and use CCD visual positioning to locate the positioning point for standby use;

[0012] Step 5: Mark the make point: mark the positioning point in step 4 as the make point for future use;

[0013] Step 6: Intercept the make graphics: Use the CCD cutting machine remote control to adjust the Z-axis height until the make point located inside the visual frame is clear. Use the mouse to intercept the make graphics in the visual frame and set aside.

[0014] Step 7: Identify the make graph: Use the mouse to select the make point, right-click the motor mouse after selection, click Identify, identify the make graph, and calibrate the camera for later use;

[0015] Step 8: Set the cutting stop point: Use the cutting software to select and locate the cutting machine's stop point for standby use;

[0016] Step 9: Select the make point: right-click to mark the make point. Note that the cutting head should be aligned with the first located make point for later use.

[0017] Step 10: Visual positioning: Click Start positioning in the visual positioning to process the acquired image and capture the make points. If all the selected make points can be captured, the screen will display "Visual positioning successful". At this time, click OK and set aside.

[0018] Step 11: Mark the cutting origin coordinates: Mark the coordinates based on the origin of the overall positioning in step 10 for future use;

[0019] Step 12: Turn on the cutting machine to cut the positioned soft module. Complete.

[0020] The step of processing the collected image includes:

[0021] The make graphic video captured by the CCD cutting machine is processed into frames to obtain several frames of make graphic capture images;

[0022] Input the make graphic collection image into the decision tree and output the graphic label;

[0023] According to the graphic label, determining the target label corresponding to the make graphic acquisition image;

[0024] Classify the make graphic collection images with the same target label to obtain several first classification sets;

[0025] Segmenting each make graphic collection image in each first classification set to determine a key area in each make graphic collection image;

[0026] Extracting make points from the key areas and determining make point features as global features;

[0027] Set weight coefficients for global features and perform feature fusion transformation to obtain the make point feature vector;

[0028] Calculating the similarity between several make point feature vectors corresponding to several key areas, clustering the key areas based on the k-means method to obtain several second cluster sets;

[0029] Performing graphic analysis on each second cluster set to determine graphic features corresponding to each second cluster set;

[0030] Based on the decision tree algorithm, several graphic features are extracted and processed to obtain several cutting points;

[0031] Dividing the make graph to be cut into regions according to the plurality of cutting points to obtain a region division result;

[0032] Determine the cutting type of the make graphic to be cut according to the area division result and the preset cutting model;

[0033] Determine make graphic data from the preset database based on the cutting type;

[0034] A target cutting graph make point scheme is constructed according to the make graph data, and the make graph is subjected to make point verification.

[0035] Furthermore, the aluminum material model in step 1 is 3003, 4043, 4045, 5052 or 6063.

[0036] Furthermore, the make point features include the number, size and spacing of make points.

[0037] Furthermore, each image in the make graphic acquisition image includes at least one key area, and each key area includes at least one make point.

[0038] Furthermore, the format of the drawing in step 4 is DXF format.

[0039] Furthermore, the number of make points in step nine and step ten is 3-12.

[0040] Furthermore, the shape of the make graphic is a circle or a cross.

[0041] Furthermore, the diameter of the circular make pattern is in the range of 1-7 mm, and the line width of the cross is in the range of 0.1-2 mm.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] 1. Under the existing technology, if a positioning error occurs when the image is initially positioned in visual positioning, it will cause errors in the subsequent cutting work, affect the verification rate and the accuracy of visual positioning matching, and affect the quality of the finished product. The present invention accurately determines the key areas corresponding to the captured image, reduces the processing range, improves processing efficiency, and determines the make point feature vector based on the global features of the make point feature, which facilitates accurate clustering of the key areas, facilitates determination of the graphic features corresponding to each second cluster set, and improves the accuracy of graphic feature extraction. Based on the extracted graphic features, the make graphic data is determined, and a target cutting graphic make point solution is constructed, which facilitates the extraction of the optimal make point information, improves anti-interference performance, and facilitates the improvement of the transmission rate of the make graphic. At the same time, based on the make graphic, the system can quickly verify the make graphic, thereby improving the verification rate of the make point and the accuracy of visual positioning matching.

[0044] 2. Under the existing technology, the existing flow channel plate trimming method mostly adopts the method of fixing the profile on the cutting machine in advance, adjusting the profile and then cutting the flow channel. This cutting method is not only time-consuming and labor-intensive, but also has a high scrap rate in the early debugging stage. The operating proficiency of the required operating staff is also higher, which increases labor costs and R&D costs. The present invention uses CCD visual positioning to locate the predetermined positions on the soft module into make points, and then performs visual positioning based on multiple make points to automatically find the cutting origin of the product, achieving the advantages of one-time positioning and multiple automatic positioning and point-finding cutting. Compared with traditional profile positioning cutting, it is more efficient, reduces the scrap rate and R&D costs, and can be operated without the use of highly skilled employees. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of the method of the present invention;

[0046] Figure 2 This is a flowchart of the image processing of the present invention. DETAILED DESCRIPTION

[0047] 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.

[0048] In order to solve the technical problem that the existing channel plate trimming method mostly adopts the method of fixing the profile on the cutting machine in advance, adjusting the profile and then cutting the channel, this method of cutting is not only time-consuming and labor-intensive, but also has a high scrap rate in the early debugging stage, and requires higher operating proficiency of the operators, which increases labor costs and R&D costs, please refer to Figure 1 , the present invention provides the following technical solutions:

[0049] Example 1:

[0050] The method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning includes the following steps:

[0051] Step 1: Select the material: Select an aluminum material that is larger than the size of the product to be cut and has a single-layer composite layer. Perform DDG double-sided grinding on the selected aluminum material to ensure the flatness of the single-piece profile. The aluminum material model is 3003, 4043, 4045, 5052 or 6063, and keep it in reserve.

[0052] Step 2: Die-casting runner: Prepare a drawing with positioning points on the outer contour, with 3-5 positioning points. Make a soft mold according to the mold drawing, and use the soft mold to die-cast the aluminum material selected in step 1. After die-casting, remove the nozzle waste from the product. During the stamping process, the single-layer composite layer faces upward to prepare a soft mold for standby use.

[0053] Step 3: Soft module positioning: The prepared soft module is placed on a cutting machine equipped with CCD visual positioning. The displacement detector detects the distance of the aluminum material and transmits the detected aluminum material distance information to the remote control. The remote control controls the start and stop of the cutting machine according to the received aluminum material distance and the preset aluminum material distance value. The red light positioning on the cutting machine is used to perform benchmark leveling on the soft module, so that the outer contour of the soft module is parallel to the outer contour of the cutting machine operating table, and is ready for use.

[0054] Step 4: Locate the make point: Use the cutting software on the CCD cutting machine to open the drawing of the required cutting soft module, and use CCD visual positioning to locate the positioning point. The drawing format is DXF format, which is for standby use;

[0055] Step 5: Mark make points: Mark the positioning points in step 4 as make points. The number of make points should be 3-5. The shape of the make figure should be a circle or a cross. The diameter of the circle make figure should be 1-3mm, and the line width of the cross should be 0.1-1mm. Set aside.

[0056] Step 6: Intercept the make graphics: Use the CCD cutting machine remote control to adjust the Z-axis height until the make point located inside the visual frame is clear. Use the mouse to intercept the make graphics in the visual frame and set aside.

[0057] Step 7: Identify the make graph: Use the mouse to select the make point, right-click the motor mouse after selection, click Identify, identify the make graph, and calibrate the camera for later use;

[0058] Step 8: Set the cutting stop point: Use the cutting software to select and locate the cutting machine's stop point for standby use;

[0059] Step 9: Select make point: right click to mark the make point. The number of make points is 3-5. Note that the cutting head should be aligned with the first located make point for future use.

[0060] Step 10: Visual positioning: Click Start positioning in the visual positioning. The number of make points is 3-5. Process the acquired image and capture the make points. If all the selected make points can be captured, the screen will display "Visual positioning successful". At this time, click OK and set aside.

[0061] Step 11: Mark the cutting origin coordinates: Mark the coordinates based on the origin of the overall positioning in step 10 for future use;

[0062] Step 12: Turn on the cutting machine to cut the positioned soft module. Complete.

[0063] Example 2:

[0064] The method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning includes the following steps:

[0065] Step 1: Select the material: Select an aluminum material that is larger than the size of the product to be cut and has a single-layer composite layer. Perform DDG double-sided grinding on the selected aluminum material to ensure the flatness of the single-piece profile. The aluminum material model is 3003, 4043, 4045, 5052 or 6063, and keep it in reserve.

[0066] Step 2: Die-casting runner: Prepare a drawing with positioning points on the outer contour, with 4-8 positioning points. Make a soft mold according to the mold drawing, and use the soft mold to die-cast the aluminum material selected in step 1. After die-casting, remove the nozzle waste from the product. During the stamping process, the single-layer composite layer faces upward to prepare a soft mold for standby use.

[0067] Step 3: Soft module positioning: The prepared soft module is placed on a cutting machine equipped with CCD visual positioning. The displacement detector detects the distance of the aluminum material and transmits the detected aluminum material distance information to the remote control. The remote control controls the start and stop of the cutting machine according to the received aluminum material distance and the preset aluminum material distance value. The red light positioning on the cutting machine is used to perform benchmark leveling on the soft module, so that the outer contour of the soft module is parallel to the outer contour of the cutting machine operating table, and is ready for use.

[0068] Step 4: Locate the make point: Use the cutting software on the CCD cutting machine to open the drawing of the required cutting soft module, and use CCD visual positioning to locate the positioning point. The drawing format is DXF format, which is for standby use;

[0069] Step 5: Mark make points: Mark the positioning points in step 4 as make points. The number of make points is 3-8. The shape of the make figure is a circle or a cross. The diameter range of the circular make figure is 1-4mm, and the line width of the cross is 0.1-1.5mm. Set aside.

[0070] Step 6: Intercept the make graphics: Use the CCD cutting machine remote control to adjust the Z-axis height until the make point located inside the visual frame is clear. Use the mouse to intercept the make graphics in the visual frame and set aside.

[0071] Step 7: Identify the make graph: Use the mouse to select the make point, right-click the motor mouse after selection, click Identify, identify the make graph, and calibrate the camera for later use;

[0072] Step 8: Set the cutting stop point: Use the cutting software to select and locate the cutting machine's stop point for standby use;

[0073] Step 9: Select make point: right click to mark the make point. The number of make points is 3-8. Note that the cutting head should be aligned with the first located make point for future use.

[0074] Step 10: Visual positioning: Click Start positioning in the visual positioning. The number of make points is 3-8. Process the acquired image and capture the make points. If all the selected make points can be captured, the screen will display "Visual positioning successful". At this time, click OK and set aside.

[0075] Step 11: Mark the cutting origin coordinates: Mark the coordinates based on the origin of the overall positioning in step 10 for future use;

[0076] Step 12: Turn on the cutting machine to cut the positioned soft module. Complete.

[0077] Example 3:

[0078] The method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning includes the following steps:

[0079] Step 1: Select the material: Select an aluminum material that is larger than the size of the product to be cut and has a single-layer composite layer. Perform DDG double-sided grinding on the selected aluminum material to ensure the flatness of the single-piece profile. The aluminum material model is 3003, 4043, 4045, 5052 or 6063, and keep it in reserve.

[0080] Step 2: Die-casting runner: Prepare a drawing with positioning points on the outer contour, with 8-12 positioning points. Make a soft mold according to the mold drawing, and use the soft mold to die-cast the aluminum material selected in step 1. After die-casting, remove the nozzle waste from the product. During the stamping process, the single-layer composite layer faces upward to prepare a soft mold for standby use.

[0081] Step 3: Soft module positioning: The prepared soft module is placed on a cutting machine equipped with CCD visual positioning. The displacement detector detects the distance of the aluminum material and transmits the detected aluminum material distance information to the remote control. The remote control controls the start and stop of the cutting machine according to the received aluminum material distance and the preset aluminum material distance value. The red light positioning on the cutting machine is used to perform benchmark leveling on the soft module, so that the outer contour of the soft module is parallel to the outer contour of the cutting machine operating table, and is ready for use.

[0082] Step 4: Locate the make point: Use the cutting software on the CCD cutting machine to open the drawing of the required cutting soft module, and use CCD visual positioning to locate the positioning point. The drawing format is DXF format, which is for standby use;

[0083] Step 5: Mark make points: Mark the positioning points in step 4 as make points. The number of make points should be 8-12. The shape of the make figure should be a circle or a cross. The diameter of the circle make figure should be 3-7mm, and the line width of the cross should be 1-2mm. Set aside.

[0084] Step 6: Intercept the make graphics: Use the CCD cutting machine remote control to adjust the Z-axis height until the make point located inside the visual frame is clear. Use the mouse to intercept the make graphics in the visual frame and set aside.

[0085] Step 7: Identify the make graph: Use the mouse to select the make point, right-click the motor mouse after selection, click Identify, identify the make graph, and calibrate the camera for later use;

[0086] Step 8: Set the cutting stop point: Use the cutting software to select and locate the cutting machine's stop point for standby use;

[0087] Step 9: Select make points: right-click to mark make points. The number of make points is 8-12. Note that the cutting head should be aligned with the first located make point for future use.

[0088] Step 10: Visual positioning: Click Start positioning in the visual positioning. The number of make points is 8-12. Process the acquired image and capture the make points. If all the selected make points can be captured, the screen will display "Visual positioning successful". At this time, click OK and set aside.

[0089] Step 11: Mark the cutting origin coordinates: Mark the coordinates based on the origin of the overall positioning in step 10 for future use;

[0090] Step 12: Turn on the cutting machine to cut the positioned soft module. Complete.

[0091] Specifically, the present invention uses CCD visual positioning to locate predetermined sites on the soft module as make points, and then performs visual positioning based on multiple make points to automatically find the cutting origin of the product, thereby achieving the advantages of one-time positioning and multiple automatic positioning and point-finding cutting. Compared with traditional contour positioning cutting, it is more efficient, reduces scrap rate and R&D costs, and can be operated without the use of highly skilled employees.

[0092] In order to solve the technical problem that positioning errors occur when the image is initially positioned in visual positioning, which will cause errors in subsequent cutting work, affect the verification rate and the accuracy of visual positioning matching, and affect the quality of the finished product, the present invention provides the following technical solutions:

[0093] The step of processing the collected image includes:

[0094] The make graphic video captured by the CCD cutting machine is processed into frames to obtain several frames of make graphic capture images;

[0095] Input the make graphic collection image into the decision tree and output the graphic label;

[0096] According to the graphic label, determining the target label corresponding to the make graphic acquisition image;

[0097] Classify the make graphic collection images with the same target label to obtain several first classification sets;

[0098] Segmenting each make graphic collection image in each first classification set to determine a key region in each make graphic collection image; each make graphic collection image includes at least one key region, and each key region includes at least one make point;

[0099] Extracting make points from the key area and determining make point features as global features; the make point features include the number, size, and spacing of make points;

[0100] Set weight coefficients for global features and perform feature fusion transformation to obtain the make point feature vector;

[0101] Calculating the similarity between several make point feature vectors corresponding to several key areas, clustering the key areas based on the k-means method to obtain several second cluster sets;

[0102] Performing graphic analysis on each second cluster set to determine graphic features corresponding to each second cluster set;

[0103] Based on the decision tree algorithm, several graphic features are extracted and processed to obtain several cutting points;

[0104] Dividing the make graph to be cut into regions according to the plurality of cutting points to obtain a region division result;

[0105] Determine the cutting type of the make graphic to be cut according to the area division result and the preset cutting model;

[0106] Determine make graphic data from the preset database based on the cutting type;

[0107] A target cutting graph make point scheme is constructed according to the make graph data, and the make graph is subjected to make point verification.

[0108] Specifically, the present invention accurately determines the key areas corresponding to the captured image, reduces the processing scope, improves processing efficiency, and determines the make point feature vector based on the global features of the make point features, which facilitates accurate clustering of the key areas and facilitates determination of the graphic features corresponding to each second cluster set, thereby improving the accuracy of graphic feature extraction. Based on the extracted graphic features, make graphic data is determined, and a target cutting graphic make point solution is constructed, which facilitates the extraction of optimal make point information, improves anti-interference performance, and facilitates increasing the transmission rate of the make graphic. At the same time, based on the make graphic, the system can quickly verify the make graphic, thereby improving the verification rate of the make point and the accuracy of visual positioning matching.

[0109] 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. A method for cutting raw materials for power battery heat exchangers based on CCD visual positioning, characterized by: The following steps are involved: Step 1: Select the material: Select an aluminum material that is larger than the size of the product to be cut and has a single-layer composite layer. Perform DDG double-sided grinding on the selected aluminum material to ensure the flatness of the single-piece profile and set aside; Step 2: Die-casting runner: Prepare a drawing with positioning points on the outer contour, make a soft mold according to the mold drawing, and use the soft mold to die-cast the aluminum material selected in step 1. After die-casting, remove the nozzle waste from the product. During the stamping process, the single-layer composite layer faces upward to prepare a soft mold for standby use; Step 3: Soft module positioning: The prepared soft module is placed on a cutting machine equipped with CCD visual positioning. The displacement detector detects the distance of the aluminum material and transmits the detected aluminum material distance information to the remote control. The remote control controls the start and stop of the cutting machine according to the received aluminum material distance and the preset aluminum material distance value. The red light positioning on the cutting machine is used to perform benchmark leveling on the soft module, so that the outer contour of the soft module is parallel to the outer contour of the cutting machine operating table, and is ready for use. Step 4: Locate the make point: Use the cutting software on the CCD cutting machine to open the drawing of the required cutting soft module, and use CCD visual positioning to locate the positioning point for standby use; Step 5: Mark the make point: mark the positioning point in step 4 as the make point for future use; Step 6: Intercept the make graphics: Use the CCD cutting machine remote control to adjust the Z-axis height until the make point located inside the visual frame is clear. Use the mouse to intercept the make graphics in the visual frame and set aside. Step 7: Identify the make graph: Use the mouse to select the make point, right-click the motor mouse after selection, click Identify, identify the make graph, and calibrate the camera for later use; Step 8: Set the cutting stop point: Use the cutting software to select and locate the cutting machine's stop point for standby use; Step 9: Select the make point: right-click to mark the make point. Note that the cutting head should be aligned with the first located make point for later use. Step 10: Visual positioning: Click Start positioning in the visual positioning to process the acquired image and capture the make points. If all the selected make points can be captured, the screen will display "Visual positioning successful". At this time, click OK and set aside. Step 11: Mark the cutting origin coordinates: Mark the coordinates based on the origin of the overall positioning in step 10 for future use; Step 12: Turn on the cutting machine to cut the positioned soft module, and it is done; The step of processing the collected image includes: The make graphic video captured by the CCD cutting machine is processed into frames to obtain several frames of make graphic capture images; Input the make graphic collection image into the decision tree and output the graphic label; According to the graphic label, determining the target label corresponding to the make graphic acquisition image; Classify the make graphic collection images with the same target label to obtain several first classification sets; Segmenting each make graphic acquisition image in each first classification set to determine a key region in each make graphic acquisition image, wherein each make graphic acquisition image includes at least one key region, and each key region includes at least one make point; Extract make points from the key area and determine make point features as global features. The make point features include the number, size, and spacing of make points. Set weight coefficients for global features and perform feature fusion transformation to obtain the make point feature vector; Calculating the similarity between several make point feature vectors corresponding to several key areas, clustering the key areas based on the k-means method to obtain several second cluster sets; Performing graphic analysis on each second cluster set to determine graphic features corresponding to each second cluster set; Based on the decision tree algorithm, several graphic features are extracted and processed to obtain several cutting points; Dividing the make graph to be cut into regions according to the plurality of cutting points to obtain a region division result; Determine the cutting type of the make graphic to be cut according to the area division result and the preset cutting model; Determine make graphic data from the preset database based on the cutting type; A target cutting graph make point scheme is constructed according to the make graph data, and the make graph is subjected to make point verification.

2. The method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning according to claim 1, characterized in that: The aluminum material model in the step 1 is 3003, 4043, 4045, 5052 or 6063.

3. The method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning according to claim 1, characterized in that: The format of the drawing in step 4 is DXF format.

4. The method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning according to claim 1, characterized in that: The number of make points in step nine and step ten is 3-12.

5. The method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning according to claim 1, characterized in that: The shape of the make graphic is a circle or a cross.

6. The method for cutting raw materials of a power battery heat exchanger based on CCD visual positioning according to claim 5, characterized in that: The diameter of the circular make pattern is in the range of 1-7 mm, and the line width of the cross is in the range of 0.1-2 mm.

Images