CN111906036B - Detection apparatus based on battery is utilized to echelon - Google Patents
Detection apparatus based on battery is utilized to echelon Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/02—Measures preceding sorting, e.g. arranging articles in a stream orientating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
- B07C5/34—Sorting according to other particular properties
- B07C5/344—Sorting according to other particular properties according to electric or electromagnetic properties
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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Abstract
The invention relates to a detection device based on a echelon battery utilization, which relates to the technical field of battery testing and comprises a central processing device, a battery appearance detection device, a battery capacity testing device and a battery transportation device, wherein the central processing device is connected with the battery appearance detection device through a cable; the central processing device is connected with the battery appearance detection device, the battery capacity testing device and the battery transportation device to perform data processing and movement control; the battery appearance detection device is used for automatically identifying the appearance of the battery and classifying and screening the appearance of the battery; the battery capacity testing device is used for testing and screening the health state parameters of the battery; the battery transport device is used for moving the battery to the battery appearance detection device and the battery capacity test device for testing. The invention has the effect of higher test efficiency.
Description
Technical Field
The invention relates to the technical field of battery testing, in particular to a detection device for utilizing a battery based on echelon.
Background
The echelon utilization of the power lithium battery refers to that when the power lithium battery is used for a year, the capacity of the power lithium battery cannot meet the requirement of continuous use of an electric automobile, the battery pack is disassembled into a battery module or even an electric core, and the battery module or even the electric core can be used in the communication power supply, the solar street lamp and the energy storage field respectively according to the grade by screening according to the elimination so that the power lithium battery can continuously exert the waste heat to improve the utilization efficiency of energy.
The existing chinese patent publication No. CN109004139A discloses a gradient battery pack with a compact structure, which includes: the battery pack comprises a box body, a shunt and a battery pack, wherein an L-shaped bent plate is arranged at one corner inside the box body to form a shunt mounting cavity, the shunt is arranged in the shunt mounting cavity, the battery pack is sequentially arranged in the box body in an L shape, conductive contact pieces are arranged on the battery pack to be electrically connected, U-shaped isolating pieces extending to the outer walls of two sides are arranged on the battery pack respectively, heat-conducting glue is filled in the box body to fix the battery pack, a controller protective shell is arranged on one side of the box body, a battery management system is arranged in the controller protective shell, and a conductor wire is connected between the shunt and the battery management system. In this way, compact structure's echelon utilizes battery pack, and the dead weight is light, utilizes the U-shaped separator to carry out the isolation between the battery package, and the equipment is convenient to fill the fixed of carrying out the battery package after the gap through the heat-conducting glue, heat conductivility is good.
The above prior art solutions have the following drawbacks: although the battery used in the echelon process can be recycled, the battery needs to be tested before recycling, and the existing testing process is generally manually performed by an operator, so that the testing efficiency is low, and the improvement is needed.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a detection device based on a gradient utilization battery, which has the effect of higher test efficiency.
The above object of the present invention is achieved by the following technical solutions:
a detection device based on echelon utilization batteries is characterized by comprising a central processing device, a battery appearance detection device, a battery capacity testing device and a battery transportation device;
the central processing device is connected with the battery appearance detection device, the battery capacity testing device and the battery transportation device to perform data processing and movement control;
the battery appearance detection device is used for automatically identifying the appearance of the battery and classifying and screening the appearance of the battery;
the battery capacity testing device is used for testing and screening the health state parameters of the battery;
the battery transport device is used for moving the battery to the battery appearance detection device and the battery capacity test device for testing.
By adopting the technical scheme, the battery transport device conveys the batteries, firstly conveys the batteries to the battery appearance detection device for detection, eliminates the damaged batteries in appearance, and then conveys the rest batteries to the battery capacity detection device for detecting the capacity of the batteries; the central processing device controls the battery transportation device to drive the battery to automatically test on the battery appearance detection device and the battery capacity testing device, so that the participation of operators is greatly reduced, and the battery testing efficiency is improved.
The invention is further configured to: the battery appearance detection device comprises a battery appearance image acquisition device, a battery lifting device and a battery appearance processing and analyzing device;
the battery appearance image acquisition device is used for acquiring an appearance image of the battery to be input to the battery appearance processing analysis device for analysis;
the battery lifting device is used for clamping a battery, lifting a certain height and rotating so as to facilitate the battery appearance image acquisition device to acquire appearance images of the battery in all directions;
the battery appearance processing and analyzing device is used for analyzing the appearance images acquired by the battery appearance image acquisition device so as to analyze the appearance of the battery and classify the battery according to the analysis result.
Through adopting above-mentioned technical scheme, the battery lifting device is so that battery outward appearance image acquisition device can gather the outward appearance image of battery and transmit for battery outward appearance processing analytical equipment from each angle with the battery lifting, and battery outward appearance processing analytical equipment carries out analysis and processing to the outward appearance image of the battery of gathering to obtain the outward appearance analysis result of battery.
The invention is further configured to: the battery appearance processing and analyzing device comprises an image segmentation module and an image recognition module, wherein an image segmentation algorithm is edited in the image segmentation module and is used for carrying out image segmentation on the appearance outline of the battery;
and the image recognition module is edited with an image recognition algorithm and used for recognizing the image according to the image segmentation algorithm so as to output the appearance damage rate.
Through adopting above-mentioned technical scheme, the image on each face of battery is cut apart from the image that the battery outward appearance image acquisition device was gathered to the image segmentation module to discern through the image identification module, and reachs the breakage rate according to the damaged proportion of outward appearance, thereby can distinguish the battery that the outward appearance has been damaged with the outward appearance that does not take place the damage, realized automatic outward appearance to the battery and detected, improved battery visual inspection's accuracy and efficiency greatly, and then improved the efficiency that detects. .
The invention is further configured to: the battery appearance processing and analyzing device further comprises a deep learning device, a training set is stored in the deep learning device, and the deep learning device is used for improving the segmentation accuracy of the image segmentation module and the recognition accuracy of the image recognition module through deep learning.
Through adopting above-mentioned technical scheme, the setting of degree of depth learning device can be shot according to the battery of difference and the damaged condition of difference to give the training set with the image transmission and carry out degree of depth learning, thereby make the machine can be automatic, quick, high-efficient and accurately cut apart the image and carry out the damaged discernment under the supplementary of degree of depth learning, thereby improved the degree of accuracy and the accuracy degree of image segmentation module and image recognition module greatly.
The invention is further configured to: the battery lifting device comprises a battery clamping device, an upper driving part, a lower driving part and a rotating device, a supporting plate is fixed on the rack, the rotating device is fixed on the supporting plate, the upper driving part and the lower driving part are rotatably connected to the bottom of the supporting plate and driven by the rotating device to rotate, and the clamping device is fixed on a piston rod of the upper driving part and the lower driving part to clamp the battery.
By adopting the technical scheme, the battery lifting device clamps the battery through the battery clamping device and drives the battery to move up and down through the upper driving part and the lower driving part, and the appearance image acquisition device can rotate up and down, so that the battery can be acquired from the top surface and the bottom surface under the driving of the upper driving part and the lower driving part; and rotary device's setting is convenient for to be held the battery and is rotated, therefore can gather the outward appearance image of the lateral wall all around of battery to can carry out comprehensive image acquisition to six faces of battery, thereby improve the degree of accuracy to the image acquisition of battery outward appearance greatly.
The invention is further configured to: and a voltage detection device is fixed on the battery clamping device and used for detecting the anode position of the battery.
Through adopting above-mentioned technical scheme, voltage detection device's setting is convenient for detect the anodal position of battery when battery clamping device carries out the centre gripping to the battery to trun into the direction of all batteries to unanimity through rotary device, thereby the voltage capacity testing arrangement of the later stage of being convenient for tests the residual capacity of battery. .
The invention is further configured to: the battery capacity testing device comprises a battery charging module, a charging analysis module, a curve analysis module and a reference generation module;
the battery charging module is used for carrying out charging test on a battery;
the charging analysis module is used for testing charging voltage in the battery charging test process and forming a charging voltage curve;
the curve analysis module is used for normalizing the charging voltage;
and the reference generation module is used for fitting the normalized charging voltage through a BP neural network to form a reference curve so as to calculate the SOH value.
By adopting the technical scheme, the battery is charged, the charging voltage is recorded and normalized in the charging process, then the reference curve is selected to be fitted through the P neural network and the voltage value is selected to be estimated, so that the SOH value of the current battery can be estimated, the estimation accuracy of the SOH value is greatly improved, the battery capacity can be conveniently detected, and the detection accuracy and efficiency are improved.
The invention is further configured to: the battery transportation device comprises a rack and a conveying device, the battery appearance detection device and the battery capacity testing device are both fixed on the rack, and the conveying device is used for conveying the battery towards the battery appearance detection device and the battery capacity testing device; the electronic tag reading and writing device is connected with the central processing device to write data into the electronic tag.
By adopting the technical scheme, the electronic tag pasting device can paste the electronic tag on the surface of the tested battery, and other basic information such as the SOH of the battery is written into the electronic tag through the electronic tag reading and writing device, so that the electronic tag can be directly read when the SOH value of the battery is required to be acquired, and the battery can be conveniently utilized in the later stage. .
The invention is further configured to: the screening device is arranged on one side, away from the battery appearance detection device, of the conveyor of the rack and comprises a material pushing device, a material collecting box and a control device, and the control device is connected with the battery appearance processing and analyzing device to receive an analysis result; the control device is connected to the material pushing device, and the material pushing device is used for pushing the batteries to be scrapped into the material collecting box.
By adopting the technical scheme, the material pushing device in the screening device pushes the batteries with damaged appearances into the material collecting box to be collected according to the analysis result received by the control device; and the battery with the intact appearance is left on the conveying device, so that the conveying device can convey the battery with the intact appearance to the battery capacity testing device for testing, the screening of the battery according to the appearance is completed, and the overall detection efficiency is improved.
The invention is further configured to: the electronic tag is an RFID tag.
By adopting the technical scheme, the RFID tag is a non-contact automatic identification technology, a target object is identified and related data is obtained through a radio frequency signal, manual intervention is not needed in identification work, and the RFID tag serves as a wireless version of a bar code.
In conclusion, the beneficial technical effects of the invention are as follows:
1. the technology that the central processing device, the battery appearance detection device, the battery capacity testing device and the battery transportation device are matched is adopted, so that the effect of improving the battery testing efficiency is achieved;
2. the technology that an image acquisition device, an image segmentation module, an image recognition module, a deep learning device, a battery clamping device, an upper driving piece, a lower driving piece and an optional device are matched is adopted, so that the effect of conveniently detecting the appearance of the battery is achieved;
3. the technology that the battery charging module, the charging analysis module, the curve analysis module, the reference generation module, the label pasting device, the electronic label reading and writing device and the screening device are matched is adopted, and therefore the effect that the battery capacity test is conveniently carried out after the appearance screening is carried out on the battery is achieved.
Drawings
Fig. 1 is a schematic diagram of a main structure of a detection device based on a battery used in a echelon in an embodiment of the present application.
Fig. 2 is a schematic diagram for showing the structure of the battery appearance inspection device in the embodiment.
Fig. 3 is a block diagram showing the connection relationship of the battery appearance inspection apparatus according to the embodiment.
Fig. 4 is a block diagram showing the connection relationship of the battery capacity testing apparatus in the embodiment.
In the figure, 1, a central processing device; 2. a battery appearance detection device; 21. a battery appearance image acquisition device; 22. a battery lifting device; 221. a battery holding device; 222. an upper and lower driving member; 223. a rotating device; 224. a voltage detection device; 2241. abutting against the reed; 2242. a digital voltmeter; 23. a battery appearance processing and analyzing device; 231. an image segmentation module; 232. an image recognition module; 233. a deep learning device; 3. a battery capacity testing device; 31. a battery charging module; 32. a charging analysis module; 33. a curve analysis module; 34. a reference generation module; 4. a battery transport device; 41. a frame; 411. a support plate; 42. a conveying device; 43. a screening device; 431. a material pushing device; 432. a material collecting box; 433. a control device; 44. an electronic label sticking device; 45. electronic tags readwrite device.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, the detection device for battery utilization based on echelon disclosed by the invention comprises a central processing device 1, a battery appearance detection device 2, a battery capacity testing device 3 and a battery transportation device 4. The central processing device 1 is a PLC controller and is connected to the battery appearance detecting device 2, the battery capacity testing device 3, and the battery transporting device 4 to perform data processing and movement control. The battery appearance detection device 2 is used for automatically identifying the appearance of the battery and classifying and screening the appearance of the battery. The battery capacity testing device 3 is used for testing and screening the health state parameters of the battery. The battery transport device 4 is used for moving the battery to the battery appearance detection device 2 and the battery capacity test device 3 for testing.
Referring to fig. 1, the battery transport apparatus 4 includes a frame 41 and a conveyor 42, and the conveyor 42 is a conveyor belt rotatably connected to the frame 41. The battery appearance detecting device 2 and the battery capacity testing device 3 are both fixed on the frame 41 and located at one side of the conveyor belt, and the conveying device 42 is used for conveying the batteries towards the battery appearance detecting device 2 and the battery capacity testing device 3.
Referring to fig. 2 and 3, the battery appearance detecting device 2 includes a battery appearance image acquiring device 21, a battery lifting device 22, and a battery appearance processing and analyzing device 23. The battery appearance image collecting device 21 is a camera capable of rotating at an angle, and can collect the appearance image of the battery and transmit the collected appearance image of the battery to the battery appearance processing and analyzing device 23 for analysis.
Referring to fig. 1 and 2, the battery lifting device 22 is used for holding the battery, lifting the battery to a certain height, and rotating the battery so that the battery appearance image acquisition device 21 can acquire the appearance image of the battery in all directions. The battery lifting device 22 includes a battery clamping device 221, an up-down driving member 222, and a rotating device 223. A support plate 411 is welded and fixed on the frame 41, the rotating device 223 is a stepping motor, a bracket of the rotating device 223 is fixed on the support plate 411 through a bolt, and an output shaft of the stepping motor is positioned at the center position in the width direction of the conveying device 42.
Referring to fig. 2, the up-down driver 222 is rotatably coupled to the bottom of the support plate 411 by a ball bearing, an outer race of which is fixed to the bottom surface of the support plate 411, and an output shaft of the stepping motor is inserted into an inner race of which is fixed to the up-down driver 222 and thus is driven to rotate by the rotating means 223. The up-down driving member 222 is an electric push rod, the battery clamping device 221 is fixed on the piston rod of the up-down driving member 222 to clamp the battery, the battery clamping device 221 is two clamping cylinders, the two clamping cylinders are respectively fixed on two sides of the up-down driving member 222 along the length direction of the conveying device 42, the directions of the piston rods are opposite, clamping plates are fixed on the piston rods of the two clamping cylinders, and rubber pads are fixed on the opposite surfaces of the two clamping plates which are arranged oppositely.
Referring to fig. 2, the battery holding device 221 is fixed with a voltage detection device 224, the voltage detection device 224 includes an abutment reed 2241 and a digital voltmeter 2242, the abutment reed 2241 is fixed on the holding plate along the width direction of the transfer device 42, the abutment reed 2241 is connected to the positive pole of the digital voltmeter 2242, and the negative pole of the digital voltmeter 2242 is grounded, so that the positive pole position of the battery can be detected, thereby facilitating the transmission of the positive pole position of the battery to the central processing device 1.
Referring to fig. 2 and 3, the battery appearance processing and analyzing device 23 is configured to analyze the appearance image acquired by the battery appearance image acquiring device 21, so as to analyze the appearance of the battery and classify the battery according to the analysis result. The battery appearance processing and analyzing device 23 includes an image segmentation module 231 and an image recognition module 232, and an image segmentation algorithm based on deep learning is edited in the image segmentation module 231 and is used for image segmentation of the appearance contour of the battery. The image recognition module 232 is edited with a depth-based image recognition algorithm and is used for recognizing the image according to the image segmentation algorithm to output an appearance damage rate, and the image recognition module 232 can recognize whether the battery is broken according to the battery appearance image segmented by the image segmentation module 231.
Referring to fig. 2 and 3, the battery appearance processing and analyzing device 23 further includes a deep learning device 233, the deep learning device 233 stores therein a training set, the training set stores image information used for training, and the deep learning device 233 improves the segmentation accuracy of the image segmentation module 231 and the recognition accuracy of the image recognition module 232 through deep learning.
Referring to fig. 2 and 3, the screening device 43 is disposed on the side of the rack 41, which is away from the battery appearance detecting device 2, of the conveyor 42, the screening device 43 includes a pushing device 431, a material collecting box 432 and a control device 433, the pushing device 431 is a pushing cylinder fixed on the rack 41, and a piston rod of the pushing cylinder faces the center of the conveyor 42 from the battery appearance detecting device 2. A gap is formed in the position, located on the battery appearance detection device 2, of the rack 41, and the material collection box 432 is placed at the bottom of the gap. The control device 433 is connected to the battery appearance processing and analyzing device 23 to receive the analysis result; the control device 433 is connected to a pushing device 431, and the pushing device 431 is used for pushing the batteries to be discarded into the collecting box 432.
Referring to fig. 4, the battery capacity testing apparatus 3 calculates SOH by a voltage curve fitting method, and the battery capacity testing apparatus 3 includes a battery charging module 31, a charging analysis module 32, a curve analysis module 33, and a reference generation module 34; the battery charging module 31 is used for performing a charging test on a battery, and is a voltage and current adjustable switching power supply; the charging analysis module 32 is used for testing the charging voltage and forming a charging voltage curve in the battery charging test process; the curve analysis module 33 is configured to normalize the charging voltage to form a normalized curve of the charging voltage; the reference generation module 34 is configured to fit the normalized charging voltage through a BP neural network to form a reference curve, and then randomly select a test point to calculate an SOH value.
Referring to fig. 1 and 4, an electronic label sticking device 44 is mounted on the end of the frame 41 of the battery capacity testing device 3 away from the battery appearance testing device 2, and the electronic label sticking device 44 is mounted on the side of the frame 41 of the conveying device 42 close to the battery capacity testing device 3. The electronic tag reading and writing device 45 is mounted on the side of the chassis 41 on the electronic tag pasting device 44, and the electronic tag reading and writing device 45 is connected to the central processing device 1 to write the SOH value into the electronic tag. The electronic tag is an RFID tag, and the electronic tag reading and writing device 45 is an RFID reader, so as to manage the battery quickly.
The implementation principle of the embodiment is as follows:
the SOH value of the battery is measured before the battery is used in a gradient, the battery is first sorted up and placed on the conveyor 42. The battery is conveyed to the bottom up-down driving piece 222 of the supporting plate 411 by the conveying device 42 to be driven downwards, the abutting reed 2241 abuts against the positive pole or the negative pole of the power supply at the moment, the position of the positive pole of the power supply is detected and is transmitted to the central processing device 1, the central processing device 1 controls the rotating device 223 to rotate 180 degrees in advance when the positions of the positive pole and the negative pole are opposite, all battery directions are kept consistent, and later-period measurement is facilitated.
Then the clamping device clamps the battery and drives the up-down driving member 222 to contract, and the image acquisition device continuously acquires images in the process, so that the images at the top of the battery can be acquired. When the up-down driving piece 222 moves the battery to be equal to the height of the image acquisition device, the rotating device 223 drives the up-down driving piece 222 to rotate 360 degrees, at the moment, the image acquisition device can acquire the image of the side wall of the battery, after the rotation is completed, the up-down driving piece 222 drives the battery to continuously move upwards, the image acquisition device is lifted upwards, and therefore the image at the bottom of the battery is acquired. After harvesting is complete, the up-down drive 222 places the battery on the conveyor 42, and the gripper releases and drives the up-down drive 222 upward.
The image segmentation module 231 segments six faces of the battery from the acquired image and performs image recognition by the image recognition module 232. When the outer side wall of the battery is identified to be damaged, the damaged battery is classified as scrap, and the pushing device 431 is driven to push the battery to drop into the material collecting box 432 from the notch. When the outer side wall of the battery is not broken, the conveying device 42 conveys the battery to the battery capacity testing device 3 to test the battery capacity. After the test is accomplished, electronic tags pastes device 44 with electronic tags on the surface of battery, and the SOH value that battery capacity testing arrangement 3 tested is given central processing unit 1 for, and central processing unit 1 control electronic tags readwrite device 45 writes in the electronic tags with the SOH value to the later stage of being convenient for is direct can learn through reading, so that the echelon utilization in later stage, thereby has improved the efficiency of test greatly.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the present invention should be covered within the protection scope of the present invention.
Claims (9)
1. A detection device for utilizing batteries based on echelon is characterized by comprising a central processing device (1), a battery appearance detection device (2), a battery capacity testing device (3) and a battery transportation device (4);
the central processing device (1) is connected with the battery appearance detection device (2), the battery capacity testing device (3) and the battery transportation device (4) to perform data processing and movement control;
the battery appearance detection device (2) is used for automatically identifying the appearance of the battery and classifying and screening the appearance of the battery;
the battery capacity testing device (3) is used for testing and screening the health state parameters of the battery;
the battery transport device (4) is used for moving the battery to the battery appearance detection device (2) and the battery capacity test device (3) for testing;
the battery appearance detection device (2) comprises a battery appearance image acquisition device (21), a battery lifting device (22) and a battery appearance processing and analyzing device (23);
the battery lifting device (22) is used for clamping a battery, lifting the battery to a certain height and rotating the battery to facilitate the battery appearance image acquisition device (21) to acquire appearance images of the battery in all directions;
the battery transportation device (4) comprises a rack (41) and a conveying device (42), the battery appearance detection device (2) and the battery capacity testing device (3) are fixed on the rack (41), and the conveying device (42) is used for conveying the batteries towards the battery appearance detection device (2) and the battery capacity testing device (3);
the battery lifting device (22) comprises a battery clamping device (221), an upper driving part, a lower driving part (222) and a rotating device (223), a supporting plate (411) is fixed on the rack (41), the rotating device (223) is fixed on the supporting plate (411), the upper driving part and the lower driving part (222) are rotatably connected to the bottom of the supporting plate (411) and driven to rotate by the rotating device (223), and the clamping device is fixed on a piston rod of the upper driving part and the lower driving part (222) to clamp the battery.
2. The echelon utilization battery-based detection device of claim 1, wherein:
the battery appearance image acquisition device (21) is used for acquiring an appearance image of the battery to be input to the battery appearance processing and analyzing device (23) for analysis;
the battery appearance processing and analyzing device (23) is used for analyzing the appearance image acquired by the battery appearance image acquisition device (21) so as to analyze the appearance of the battery and classify the battery according to the analysis result.
3. The echelon utilization battery-based detection device of claim 2, wherein: the battery appearance processing and analyzing device (23) comprises an image segmentation module (231) and an image recognition module (232), wherein an image segmentation algorithm is edited in the image segmentation module (231) and is used for performing image segmentation on the appearance contour of the battery;
the image recognition module (232) is edited with an image recognition algorithm and used for recognizing the image according to the image segmentation algorithm so as to output the appearance damage rate.
4. The echelon utilization battery-based detection device of claim 2, wherein: the battery appearance processing and analyzing device (23) further comprises a deep learning device (233), the deep learning device (233) is internally stored with a training set, and the deep learning device (233) is used for improving the segmentation accuracy of the image segmentation module (231) and the recognition accuracy of the image recognition module (232) through deep learning.
5. The echelon utilization battery-based detection device of claim 2, wherein: and a voltage detection device (224) is fixed on the battery clamping device (221), and the voltage detection device (224) is used for detecting the positive electrode position of the battery.
6. The echelon utilization battery-based detection device of claim 1, wherein: the battery capacity testing device (3) comprises a battery charging module (31), a charging analysis module (32), a curve analysis module (33) and a reference generation module (34);
the battery charging module (31) is used for carrying out a charging test on a battery;
the charging analysis module (32) is used for testing the charging voltage in the battery charging test process and forming a charging voltage curve;
the curve analysis module (33) is used for normalizing the charging voltage;
and the reference generation module (34) is used for fitting the normalized charging voltage through a BP neural network to form a reference curve so as to calculate the SOH value.
7. The echelon utilization battery-based detection device of claim 1, wherein: the battery capacity detection device is characterized in that an electronic tag pasting device (44) is arranged on one side, away from the battery appearance detection, of the rack (41), an electronic tag reading and writing device (45) is arranged on one side, located on the electronic tag pasting device (44), of the rack (41), and the electronic tag reading and writing device (45) is connected to the central processing device (1) to write data into the electronic tag.
8. The echelon utilization battery-based detection device of claim 7, wherein: the screening device (43) is arranged on one side, away from the battery appearance detection device (2), of the conveyor (42) of the rack (41), the screening device (43) comprises a material pushing device (431), a material collecting box (432) and a control device (433), and the control device (433) is connected to the battery appearance processing and analyzing device (23) to receive an analysis result; the control device (433) is connected to a material pushing device (431), and the material pushing device (431) is used for pushing the batteries to be scrapped into the material collecting box (432).
9. The echelon utilization battery-based detection device of claim 7, wherein: the electronic tag is an RFID tag.
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| CN202010712799.2A CN111906036B (en) | 2020-07-22 | 2020-07-22 | Detection apparatus based on battery is utilized to echelon |
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