Ex-service power battery chassis echelon utilization system

Abstract

The invention discloses a decommissioned power battery chassis echelon utilization system, and relates to the technical field of power battery echelon utilization, an appearance screening module photographs a decommissioned power battery chassis through a visual assembly to capture appearance characteristics of a battery to obtain an original image of the decommissioned power battery chassis; the battery capacity detection module detects and evaluates the battery capacity of the retired power battery chassis and then marks and classifies the retired power battery chassis according to whether the capacity parameters of different batteries are consistent, and the grouping module reads mark information generated by a second marking unit and further evaluates the performance of the retired power battery chassis with consistent capacity parameters. And the grouping module divides the types of the retired power battery chassis according to the performance evaluation index and the application scene. According to the scheme, the problem that the state of the decommissioned power battery is difficult to comprehensively assess due to the fact that risks exist in manual appearance filtering of the decommissioned battery, the efficiency is low and the number of assessment index parameters is too small is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of battery recycling, and in particular to a system for recycling a retired power battery chassis. Background Art

[0002] In recent years, the rapid popularization of electric vehicles has brought great convenience to life. However, if electric vehicles are used for too long, the battery performance will not meet the needs of electric vehicles. Therefore, more and more car batteries will be retired after a few years. If the retired batteries are not properly disposed of, it will pose a new challenge to the environment. In order to promote the sustainable development of the retired battery use industry, the cascade utilization of retired batteries has gradually become a key development direction.

[0003] The existing cascade utilization of retired batteries is still in its infancy, so there are many deficiencies in the appearance filtration standards for retired batteries. Most of the appearance filtration of retired batteries still remains in the manual filtration stage. However, retired batteries have certain safety hazards due to leakage, bulging, etc., and direct human contact will have certain risks. At the same time, in the research on evaluating the status of retired power batteries, a large number of studies use battery capacity and internal resistance as evaluation indicators, ignoring the impact of other parameters on retired power batteries. Too few evaluation index parameters will make it difficult to comprehensively evaluate the status of retired power batteries. Summary of the invention

[0004] In order to solve the above technical problems, a system for recycling retired power battery chassis is provided. The automatic appearance screening and dynamic screening of battery modules of this technical solution realize the reuse of retired power battery chassis.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: A system for recycling retired power battery chassis, comprising: An appearance screening module, wherein the appearance screening module takes a photo of the retired power battery chassis through a visual component to capture the appearance features of the battery and obtain an original image of the retired power battery chassis; A battery capacity detection module, wherein the battery capacity detection module detects and evaluates the battery capacity of the retired power battery chassis and then marks and classifies the batteries according to whether the capacity parameters of different batteries are consistent. The battery capacity information of the retired power battery chassis is generated by a second marking unit to generate marking information for labeling; A grouping module, wherein the grouping module reads the marking information generated by the second marking unit, and further performs performance evaluation on the retired power battery chassis with the same capacity parameters, and the grouping module classifies the retired power battery chassis according to the application scenario based on the performance evaluation index; A power battery chassis reorganization module is used to reorganize and utilize retired power battery chassis according to set assembly standards.

[0006] Preferably, the appearance screening module includes: A visual component, wherein the visual component is arranged on a route for conveying the retired power battery chassis to collect an original image of the retired power battery chassis; An image unit, wherein the image unit performs appearance filtering and screening on the original image of the retired power battery chassis and classifies the original image of the retired power battery chassis into bad and qualified; A first marking unit is used to mark the original image of the retired power battery chassis classified by the image unit as bad or qualified.

[0007] Preferably, the grouping module performs further performance evaluation on retired power batteries whose battery capacity in the marking information is between 20% and 80%, and the retired power batteries whose battery capacity is higher than 80% and lower than 20% are directly transmitted to the corresponding processing end through the conveyor belt of the conveying assembly, and the marking information also includes the internal resistance and open circuit voltage of the chassis of the retired power battery.

[0008] Preferably, after reading the tag information, the grouping module preprocesses the data and normalizes it to form a sample data set, and uses an improved K-means algorithm to perform an initial screening on the sample data set to form a sample screening data set.

[0009] Preferably, the state of a new power battery is used as a reference sequence, and the sample screening data set is used as a comparison sequence. The correlation between each retired power battery and the reference sequence is calculated through an association algorithm, and the retired batteries are divided into different groups according to the size of the correlation.

[0010] Preferably, the associated algorithm includes: Calculate the correlation coefficient: Calculate the correlation coefficient:

[0011] Where ξ is the correlation coefficient, X0 is the reference sequence, and X i is the comparison sequence, ρ is the resolution coefficient, min and max represent the minimum and maximum values ​​respectively; Calculate the degree of association: The correlation coefficient reflects the degree of association between the comparison sequence and the reference sequence at each time. The average of these correlation coefficients gives the degree of association:

[0012] in represents the association between the ith comparison sequence and the reference sequence, and n represents the number of data points in the sequence.

[0013] Preferably, the appearance screening module and the battery capacity detection module are arranged on the conveying assembly, the appearance screening module is arranged near the entrance of the conveying assembly and in front of the battery capacity detection module, and multiple groups of visual components are arranged between the two conveyor belts of the conveying assembly, and the multiple groups of visual components are respectively located above and below the chassis of the retired power batteries.

[0014] Preferably, an ejection plate for pushing out the retired power battery chassis is provided on the conveying assembly at the side of the appearance screening module, and an opening for pushing out the retired power battery chassis is provided on the conveying side plate opposite to the ejection plate.

[0015] Preferably, the battery capacity detection module is located above the conveyor belt of the conveying assembly. When the retired power battery chassis is transferred to the bottom of the battery capacity detection module through the conveyor belt of the conveying assembly, it is lifted off the conveyor belt by a lifting mechanism provided on the supporting plate and then sent into the battery capacity detection module. The battery capacity detection module releases the retired power battery chassis that has been inspected and marked, and continues to place it on the conveyor belt through the lifting mechanism and sends it to the grouping module for processing.

[0016] Preferably, a photoelectric sensing mechanism is provided between the two side plates of the conveying assembly and between the battery capacity detection module and the supporting plate. When the lifting mechanism rises, the light of the photoelectric sensing mechanism will be blocked to stop the conveying of the conveying assembly. When the retired power battery chassis is conveyed to the bottom of the battery capacity detection module, the photoelectric sensing mechanism here will be blocked to open the lifting mechanism.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention proposes a system for recycling retired power battery chassis. Through automated appearance screening and classification, the system avoids the safety hazards existing in current manual filtering due to leakage, bulging, etc. of retired batteries. At the same time, the system adds a number of evaluation index parameters for evaluating retired power battery chassis, so that the system can comprehensively evaluate the status of retired power battery chassis, and then perform cluster analysis and correlation calculation processing on the data to ensure that the reuse of retired power battery chassis is both safe and economical, while minimizing the impact on the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a structural block diagram of the retired power battery chassis cascade utilization system of the present invention; Figure 2 This is a workflow diagram of the appearance screening module in the present invention; Figure 3 The three-dimensional structure of some mechanisms in the system of the present invention Figure 1 Figure 4 The three-dimensional structure of some mechanisms in the system of the present invention Figure 2 Figure 5 The three-dimensional structure of some mechanisms in the system of the present invention Figure 3 .

[0019] In the figure: 1. Appearance screening module; 2. Ejector plate; 3. Battery capacity detection module; 4. Lifting mechanism; 5. Photoelectric sensing mechanism; 6. First marking unit; 7. Conveying assembly; 8. Push cylinder; 9. Side panel. DETAILED DESCRIPTION

[0020] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0021] Reference Figure 1 As shown, a retired power battery chassis cascade utilization system includes: An appearance screening module, wherein the appearance screening module takes a photo of the retired power battery chassis through a visual component to capture the appearance features of the battery and obtain an original image of the retired power battery chassis; A battery capacity detection module, which detects and evaluates the battery capacity of the retired power battery chassis and then marks and classifies the batteries according to whether the capacity parameters of different batteries are consistent, thereby ensuring that the batteries are classified according to their performance and providing a basic judgment for subsequent grouping and reuse. The battery capacity information of the retired power battery chassis is generated by the second marking unit to generate marking information for labeling; A grouping module, wherein the grouping module reads the marking information generated by the second marking unit, and further performs performance evaluation on the retired power battery chassis with the same capacity parameters, and the grouping module classifies the retired power battery chassis according to the application scenario based on the performance evaluation index; The power battery chassis reorganization module reorganizes and utilizes the retired power battery chassis according to the set matching standards. The power battery reorganization should select batteries with similar performance parameters for combination to maintain the consistency and reliability of the battery pack.

[0022] The appearance screening module comprises: A visual component, wherein the visual component is arranged on a route for conveying the retired power battery chassis to collect an original image of the retired power battery chassis; An image unit, wherein the image unit performs appearance filtering on the original image of the retired power battery chassis and classifies the original image of the retired power battery chassis into bad and qualified ones. The image unit can also perform cluster analysis on the appearance of the battery by using a Gaussian mixture model, thereby identifying a battery group with similar characteristics; A first marking unit is used to mark the original image of the retired power battery chassis classified by the image unit as bad or qualified, wherein the qualified marking information stores information of battery groups with specific appearance characteristics after cluster analysis and identification.

[0023] Specifically, the grouping module further evaluates the performance of retired power batteries with battery capacities between 20% and 80% in the tag information. The retired power batteries with battery capacities above 80% and below 20% are directly transmitted to the corresponding processing end through the conveyor belt of the conveying component. The retired power batteries with battery capacities above 80% still have high use value and can be screened out. The retired power batteries with battery capacities below 20% are close to or have reached the end of their service life and need to be disassembled and recycled. The tag information also includes the internal resistance and open circuit voltage of the chassis of the retired power battery. After reading the tag information, the grouping module The data is preprocessed and normalized to form a sample data set to ensure data consistency and comparability, thereby improving the accuracy of the evaluation. The improved K-means algorithm is used to perform an initial screening of the sample data set to form a sample screening data set. The state of a new power battery is used as a reference sequence, and the sample screening data set is used as a comparison sequence. The correlation between each retired power battery and the reference sequence is calculated through an association algorithm. According to the size of the correlation, the retired batteries are divided into different groups, which helps to identify retired batteries with performance close to that of new batteries, as well as those with significantly reduced performance, thereby providing a decision-making basis for their subsequent use or recycling.

[0024] The proposed system for the cascade utilization of retired power battery chassis is used in the cascade utilization of retired power batteries. For retired batteries with high chassis capacity, the battery capacity detection module of the system can screen them out for low-power applications such as energy storage systems and low-speed electric vehicles, thereby extending the service life of the battery. Before clustering, correlation analysis (such as the Pearson correlation coefficient) is used to reduce feature dimensions and remove redundant features. This helps to improve the efficiency of the algorithm and reduce the complexity of the data set while retaining key information. The fitness function of the K-means algorithm is redefined to reduce convergence time and improve stability. This can be achieved by introducing the K operator in the genetic algorithm to enhance local search capabilities, using the prior knowledge of domain experts to guide the clustering process, which can help the algorithm better understand the data structure, thereby improving the accuracy of classification, and using ensemble learning methods such as random forests or gradient boosting machines to combine the predictions of multiple K-means models to improve the overall classification performance.

[0025] The association algorithm includes: Calculate the correlation coefficient:

[0026] Where ξ is the correlation coefficient, X0 is the reference sequence, and X i is the comparison sequence, ρ is the resolution coefficient, min and max represent the minimum and maximum values ​​respectively; Calculate the degree of association: The correlation coefficient reflects the degree of association between the comparison sequence and the reference sequence at each time. The average of these correlation coefficients gives the degree of association:

[0027] in represents the association between the ith comparison sequence and the reference sequence, and n represents the number of data points in the sequence.

[0028] It should be noted that when setting the correlation threshold, different correlation thresholds are set according to the battery performance requirements to group the batteries. , classifying retired batteries into different groups.

[0029] Reference Figure 3 and Figure 4 As shown, the appearance screening module 1 and the battery capacity detection module 3 are arranged on the conveying component 7, and the design allows the retired power battery chassis to move between different detection and processing stations while maintaining an efficient and orderly process. The appearance screening module 1 is arranged near the entrance of the conveying component 7 and in front of the battery capacity detection module 3 to ensure that the retired power battery chassis first undergoes an appearance inspection after entering the system. A plurality of sets of visual components are arranged between the two conveyor belts of the conveying component 7, and the plurality of sets of visual components are respectively located above and below the retired power battery chassis, allowing the battery to be visually inspected from different angles to capture more comprehensive appearance features. The upper visual component is used to inspect the top surface of the battery, including the battery shell, label and any possible cracks or damage. The upper visual component is arranged as a rotatable disc. When the disc rotates, the angle at which the visual component takes a photo of the top of the battery is adjusted. The lower visual component is used to inspect the bottom surface of the battery and features that may be difficult to observe from the top. A first marking unit 6 is arranged on the side panel of the appearance screening module 1. The first marking unit 6 marks the retired power battery chassis corresponding to the original image of the retired power battery chassis as defective or qualified according to the classification information of the image unit.

[0030] Reference Figure 3As shown, the conveying assembly 7 is provided with an ejector plate 2 for pushing out the retired power battery chassis at the side of the appearance screening module 1, and the conveying side plate opposite to the ejector plate 2 is provided with an opening for pushing out the retired power battery chassis, and the size of the opening is larger than the length of the retired power battery chassis. The ejector plate 2 pushes the retired power battery chassis marked as defective from the opening and transports it away using another conveyor belt, allowing the system to automatically separate defective batteries, thereby improving the automation and efficiency of the entire processing flow.

[0031] Reference Figure 3 and Figure 5 As shown, photoelectric sensing mechanisms 5 are arranged between the two side plates 9 of the conveying assembly 7 in this scheme and between the battery capacity detection module 3 and the supporting plate. There are two groups of photoelectric sensing mechanisms 5 arranged on the supporting plate, and the two groups of photoelectric sensing mechanisms 5 are respectively located on both sides of the lifting mechanism 4. When the retired power battery chassis is transported to the bottom of the battery capacity detection module 3 through the conveying assembly 7, the retired power battery chassis sequentially blocks the two groups of photoelectric sensing mechanisms 5 on the supporting plate. When the first group of photoelectric sensing mechanisms 5 encountered in the conveying direction is blocked, the lifting mechanism 4 is ready to start. When the conveying assembly 7 continues to transport the retired power battery chassis to the second group of photoelectric sensing mechanisms 5 encountered in the conveying direction, the lifting mechanism 4 is ready to start. The lowering mechanism 4 will start the lifting plate to lift up the retired power battery chassis. The photoelectric sensing mechanism 5 is set to ensure that the lifting mechanism 4 is started at the right time. When the lifting mechanism 4 rises, it will block the light of the electric sensing mechanism 5 between the two side plates 9 to stop the conveying assembly 7 from conveying. When the retired power battery chassis is conveyed to the bottom of the battery capacity detection module 3, the photoelectric sensing mechanism here will be blocked to start the lifting mechanism 4, and the conveyor belt will not continue to run, thereby avoiding damage to the battery chassis or interference with the detection process. This automated detection and control mechanism improves the efficiency and safety of the entire retired power battery chassis recovery and reuse process, and also reduces the need for manual intervention. In this way, it can be ensured that each retired power battery chassis can be properly detected and processed, thereby maximizing its reuse value.

[0032] Reference Figure 5As shown, the battery capacity detection module 3 is located above the conveyor belt of the conveying assembly. When the retired power battery chassis is transferred to the bottom of the battery capacity detection module 3 through the conveyor belt of the conveying assembly 7, it is lifted off the conveyor belt by the lifting mechanism 4 arranged on the supporting plate and then sent into the battery capacity detection module 3. The lifting mechanism 4 ensures that the battery can be accurately sent to the battery capacity detection module 3 for detection. At the same time, the automated lifting mechanism 4 ensures the smooth transfer of the battery during the transportation process to avoid battery damage. Multiple sets of retractable detection heads are provided on both sides of the top plate of the battery capacity detection module 3 to improve the flexibility and adaptability of the detection. The battery capacity detection module 3 detects the bottom of the retired power battery that has been detected and marked. The tray is released and placed on the conveyor belt through the lifting mechanism 4 to be transported to the grouping module for processing. The battery capacity detection module 3 will mark the retired power battery according to the chassis capacity and health status. The marking information will be used for reading by the subsequent grouping module. After reading the marking information, the grouping module pre-processes the data and normalizes it to form a sample data set. The improved K-means algorithm is used to perform an initial screening of the sample data set to form a sample screening data set. The state of the new power battery is used as the reference sequence, and the sample screening data set is used as the comparison sequence. The correlation algorithm is used to calculate the correlation between each retired power battery and the reference sequence. According to the size of the correlation, the retired batteries are divided into different groups.

[0033] It is understandable that through automated appearance screening and classification, the safety hazards that exist in the current manual filtering due to leakage, bulging, etc. of retired batteries can be avoided. At the same time, the system adds a number of evaluation index parameters for retired power battery chassis, so that the system can comprehensively evaluate the status of retired power battery chassis, and then perform cluster analysis and correlation calculation processing on the data to ensure that the reuse of retired power battery chassis is both safe and economical, while minimizing the impact on the environment.

[0034] The above usage process is: Step 1: Move the chassis of the retired power battery to the conveyor belt of the conveyor component 7, and take a full-scale photo of the chassis of the retired power battery through the visual component of the appearance screening module 1 to capture the appearance characteristics of the battery and obtain the original image of the chassis of the retired power battery (when the top shape of some retired power battery chassis is special, the shooting angle can be adjusted by rotating the upper visual component disc); Step 2: The image unit of the appearance screening module 1 performs appearance filtering on the original image of the retired power battery chassis and classifies the original image of the retired power battery chassis into defective and qualified ones. The first marking unit 6 marks the retired power battery chassis corresponding to the original image of the retired power battery chassis as defective or qualified according to the classification information of the image unit; Step 3: The ejection plate 2 of the conveying assembly is provided with an identifier for identifying bad and qualified marks. For the retired power battery chassis marked as bad, it is pushed out from the opening and transported away using another conveyor belt. For the retired power battery chassis marked as qualified, the conveyor belt of the conveying assembly 7 continues to transport the retired power battery chassis forward to the bottom of the battery capacity detection module 3; Step 4: The retired power battery chassis transported to the bottom of the battery capacity detection module 3 is pushed into the battery capacity detection module 3 by the lifting mechanism 4 for detection and evaluation, and the data information after the detection and evaluation is generated by the second marking unit to generate marking information; Step 5: The grouping module reads the marking information generated by the second marking unit, performs further performance evaluation on the retired power battery chassis with the same capacity parameters, and then classifies the retired power battery chassis by application scenario according to the performance evaluation index; Step 6: The power battery chassis reorganization module reorganizes and utilizes the retired power battery chassis processed by the grouping module according to the grouping standards set by the application scenario.

[0035] Step 7: After the power battery chassis reorganization module reorganizes the retired power battery chassis, the BMS is used to monitor and manage the status of the battery pack, including real-time monitoring of the battery's SOC, SOH and voltage.

[0036] Step 8: Establish the characteristic relationship between voltage, SOC, SOH and power, establish the SOP characteristic equation of the single-cell retired power battery chassis, estimate the power state SOP of the retired power battery chassis during the cascade utilization process, sample its power curve to set the dynamic threshold γ, if the difference between the power state SOP of two single-cell retired power battery chassis is less than or equal to the dynamic threshold γ, the retired power battery chassis has achieved dynamic consistency after reorganization, if the difference between the power state SOP of two single-cell retired power battery chassis is greater than the dynamic threshold γ, the battery module of the reorganized retired power battery chassis is dynamically screened.

[0037] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A system for recycling retired power battery chassis, characterized in that: include: An appearance screening module, wherein the appearance screening module takes a photo of the retired power battery chassis through a visual component to capture the appearance features of the battery and obtain an original image of the retired power battery chassis; A battery capacity detection module, wherein the battery capacity detection module detects and evaluates the battery capacity of the retired power battery chassis and then marks and classifies the batteries according to whether the capacity parameters of different batteries are consistent. The battery capacity information of the retired power battery chassis is generated by a second marking unit to generate marking information for labeling; A conveyor assembly for transporting a retired power battery chassis from one module to another module; A grouping module, wherein the grouping module reads the marking information generated by the second marking unit, and further performs performance evaluation on the retired power battery chassis with the same capacity parameters, and the grouping module classifies the retired power battery chassis according to the application scenario based on the performance evaluation index; A power battery chassis reorganization module is used to reorganize and utilize the retired power battery chassis processed by the grouping module according to the grouping standards set in the application scenario.

2. A retired power battery chassis cascade utilization system according to claim 1, characterized in that: The appearance screening module comprises: A visual component, wherein the visual component is arranged on a route for conveying the retired power battery chassis to collect an original image of the retired power battery chassis; An image unit, wherein the image unit performs appearance filtering and screening on the original image of the retired power battery chassis and classifies the original image of the retired power battery chassis into bad and qualified; The first marking unit is configured to mark the retired power battery chassis corresponding to the original image of the retired power battery chassis.

3. A retired power battery chassis cascade utilization system according to claim 1, characterized in that: The grouping module performs further performance evaluation on retired power batteries with battery capacities between 20% and 80% in the marking information. The retired power batteries with battery capacities above 80% and below 20% are directly transmitted to the corresponding processing end through the conveyor belt of the conveying assembly. The marking information also includes the internal resistance and open circuit voltage of the chassis of the retired power batteries.

4. A retired power battery chassis cascade utilization system according to claim 3, characterized in that: After reading the tag information, the grouping module preprocesses the data and normalizes it to form a sample data set, and uses an improved K-means algorithm to perform a primary screening on the sample data set to form a sample screening data set.

5. A retired power battery chassis cascade utilization system according to claim 4, characterized in that: The state of a new power battery is used as the reference sequence, and the sample screening data set is used as the comparison sequence. The correlation between each retired power battery and the reference sequence is calculated through an association algorithm. According to the size of the correlation, the retired batteries are divided into different groups.

6. A retired power battery chassis cascade utilization system according to claim 5, characterized in that: The associated algorithms include: Calculate the correlation coefficient: Where ξ is the correlation coefficient, X0 is the reference sequence, and X i is the comparison sequence, ρ is the resolution coefficient, min and max represent the minimum and maximum values ​​respectively; Calculate the degree of association: The correlation coefficient reflects the degree of association between the comparison sequence and the reference sequence at each time. The average of these correlation coefficients is used to obtain the degree of association: in represents the association between the ith comparison sequence and the reference sequence, and n represents the number of data points in the sequence.

7. The retired power battery chassis cascade utilization system according to claim 1 is characterized in that: The appearance screening module and the battery capacity detection module are arranged on the conveying assembly. The appearance screening module is arranged near the entrance of the conveying assembly and in front of the battery capacity detection module. Multiple groups of visual components are arranged between the two conveyor belts of the conveying assembly. The multiple groups of visual components are respectively located above and below the chassis of the retired power batteries.

8. A retired power battery chassis cascade utilization system according to claim 7, characterized in that: The conveying assembly is provided with an ejection plate to push out the retired power battery chassis on the side of the appearance screening module, and the conveying side plate opposite to the ejection plate is provided with an opening to push out the retired power battery chassis. The ejection plate pushes the retired power battery chassis marked as being in bad condition out of the opening and transports it away using another conveyor belt.

9. The retired power battery chassis cascade utilization system according to claim 1, characterized in that: The battery capacity detection module is located above the conveyor belt of the conveying assembly. When the retired power battery chassis is transferred to the bottom of the battery capacity detection module through the conveyor belt of the conveying assembly, it is lifted off the conveyor belt by the lifting mechanism arranged on the supporting plate and then sent into the battery capacity detection module. The battery capacity detection module releases the retired power battery chassis that has been tested and marked, and continues to place it on the conveyor belt through the lifting mechanism and sends it to the grouping module for processing.

10. A retired power battery chassis cascade utilization system according to claim 9, characterized in that: Photoelectric sensing mechanisms are provided between the two side plates of the conveying assembly and between the battery capacity detection module and the supporting plate. When the lifting mechanism rises, the light of the photoelectric sensing mechanism will be blocked to stop the conveying of the conveying assembly. When the retired power battery chassis is conveyed to the bottom of the battery capacity detection module, the photoelectric sensing mechanism here will be blocked to open the lifting mechanism.

Images