An Automatic Identification Method and System for the Tab of an Energy Storage Battery

Abstract

The present invention discloses an automatic identification method for the tabs of energy storage batteries, which includes obtaining the response voltage data generated by each solar panel and the force-sensitive signals of each force-sensitive sensor; judging the position of the energy storage battery according to the response voltage data and voltage distribution of different solar panels to obtain the voltage matrix of the energy storage battery; judging the position of the battery body of the energy storage battery except for the tabs according to the force-sensitive signals generated by the force-sensitive sensors and the formed pressure matrix; identifying the position of the battery tabs according to the difference between the pressure matrix and the voltage matrix; and inversely calculating and determining the height of the tabs from the solar panel according to the different light intensities on the solar panel below the tabs when there are differences in the height of the battery tabs from the platform, so as to construct the three-dimensional position of the battery tabs. This method is simple, effective, and has high precision, and can directly obtain the three-dimensional position of the tabs.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage battery detection, and specifically, to an automatic identification method and system for energy storage battery tabs. Background Art

[0002] In recent years, electrochemical energy storage technologies represented by lithium-ion batteries have become the energy storage technologies with the fastest growing installed capacity in the current power energy storage field due to their flexibility and rapidity. Square hard-shell batteries are widely used in electrochemical energy storage systems due to their relatively low technical difficulty, good protection for battery cells, and convenience for grouping. Before integrating battery into an energy storage system, it is necessary to detect the performance and safety of a large number of batteries to evaluate battery safety; as a large number of batteries are retired, it is necessary to detect these retired batteries to determine the battery state and evaluate the value of cascade utilization. In the detection of a large number of batteries, it is necessary to stably connect the test device connection line to the battery tab, and differences in the battery placement method and placement position will make it difficult for the detection line to accurately dock with the battery tab. At present, the identification of battery tabs in battery detection is all through manual experience identification, which will result in reduced identification efficiency and increased identification cost, and is not suitable for the detection operations of a large number of batteries of different sizes and types.

[0003] The utility model disclosed in CN214336750U discloses a rotating and adjusting battery device, including a fixing mechanism, a rotating driving member, and a sensing and identifying mechanism. A battery receiving area is provided on the fixing mechanism, and the battery receiving area is used for placing a battery. The fixing mechanism is used for fixing the battery. The rotating driving member is connected to the fixing mechanism, and the rotating driving member is used for driving the fixing mechanism to rotate. The sensing and identifying mechanism is arranged towards the battery tab, and the sensing and identifying mechanism is used for identifying the position of the tab. The rotating and adjusting battery device of the present utility model enables the battery to be accurately rotated by setting a fixing mechanism, a rotating driving member, and a sensing and identifying mechanism. Specifically, when the sensing and identifying mechanism identifies that the placement angle of the battery is incorrect, the rotating driving member drives the fixing mechanism to rotate, and the battery placed on the fixing mechanism rotates with the fixing mechanism, so as to ensure the accurate position and angle of the battery placement. However, the method of laser identification requires a receiver and a transmitter, with high cost and occupying equipment space. Limited by the sizes of the transmitter and receiver and the battery placement method, it is difficult to directly form a judgment on the position of the battery tab. Summary of the Invention

[0004] The technical problem to be solved by the present invention is how to accurately calculate the three-dimensional position of the battery tab.

[0005] The present invention solves the above technical problem by the following technical means:

[0006] An automatic identification method for energy storage battery tabs includes the following steps:

[0007] S01. Set up a solar panel array and place a force-sensitive sensor under each solar panel;

[0008] S02. Place the energy storage battery on the solar panel array; start irradiating with parallel light from top to bottom;

[0009] S03. Obtain the response voltage data generated by each solar panel and the force-sensitive signals of each force-sensitive sensor;

[0010] S04. Based on the response voltage data and voltage distribution of different solar panels, obtain the voltage matrix of the energy storage battery, thereby determining the position of the energy storage battery;

[0011] S05. Based on the pressure matrix formed by the force-sensitive signals generated by the force-sensitive sensors and their distribution, determine the position of the battery body of the energy storage battery except for the electrode tab; according to the difference between the pressure matrix and the voltage matrix, identify the position of the battery electrode tab;

[0012] S06. When there is a difference in the height of the battery electrode tab from the platform, the light intensity on the solar panel below the electrode tab is different. By reverse deduction, determine the height of the electrode tab from the solar panel, thereby constructing the three-dimensional position of the battery electrode tab.

[0013] Based on the principle that the open-circuit voltage of the solar panel increases with the increase of light intensity, the vertical light illumination facility vertically irradiates the square hard-shell energy storage battery. The area on the battery panel array covered by the square hard-shell energy storage battery has a voltage difference from the unobstructed part because the battery case and electrode tab block the sunlight from reaching the solar panel. According to the position matrix of the open-circuit voltage of the uniformly distributed solar cells, judge the shape of the battery and electrode tab. Use the pressure matrix sensed by the force-sensitive sensors distributed at the bottom of the small solar panels, so as to form a signal difference with the position not squeezed by the battery, and further form the position matrix of the squeezed solar panels, thereby judging the position of the battery body without the battery electrode tab. Further, according to the shape feature that the electrode tab of the square hard-shell energy storage battery protrudes from the battery case, there is a difference in the pressure matrix and the voltage matrix, thereby identifying the position of the battery electrode tab. Further, when there is a difference in the height of the battery electrode tab from the platform, the light intensity on the solar panel below the electrode tab is different. By reverse deduction, determine the height of the electrode tab from the platform, thereby constructing the three-dimensional position of the battery electrode tab.

[0014] Further, the specific method for identifying the position of the energy storage battery in step S04 is as follows:

[0015] According to the solar panel array method, starting from the coordinate 0 point, with each solar panel as a scale of 1, establish the solar panel position matrix P. Assume there are n rows and m columns of solar panels, then

[0016]

[0017] A voltage matrix V corresponding to the position matrix is formed according to the voltage of each solar panel:

[0018]

[0019] Through the voltage V of a certain solar panel a,b And the change rate of the voltage of the nearby panels, calculate the change rate normalization factor i of each solar panel position a,b :

[0020]

[0021] where r is the range radius centered on a certain solar panel, x1 is the lateral light source consistency correction factor, and x2 is the longitudinal light source consistency correction factor;

[0022] Thus, a change rate normalization factor matrix I of the position is formed

[0023]

[0024] According to the following criterion, convert the I matrix into an a matrix containing only 0 and 1, and the value a(a, b) in the a matrix is as follows:

[0025]

[0026] where l is the change rate judgment factor, and the area where a(a, b) = 1 is the position of the battery edge and the battery tab.

[0027] Furthermore, the specific identification method for the position of the battery body in step S05 is:

[0028] According to the force-sensitive signals formed by the force-sensitive sensors under each solar panel, form a force-sensitive signal matrix N(a, b) corresponding to the position

[0029]

[0030] Convert the position matrix P of the solar panel into a matrix n containing only 0 and 1 for force-sensitive response through the following criterion. The value n(a, b) in the n matrix is:

[0031]

[0032] where n(a, b) = 1 indicates that this area is the area covered by the battery body;

[0033] For the value at any position (a1, b1), if there exists a(a1, b1) = 1 and n(a1, b1) = 0, the position point (a1, b1) is the position where the battery tab is located; let a'(a1, b1) = a(a1, b1), thereby forming a coordinate group a' of the position points where the battery tabs are located.

[0034] Further, the specific calculation method for the height of the energy storage battery tab from the solar panel in step S06 is as follows: Extract the voltage V of the solar panel at all position point coordinate groups a'. ax,by , calculate V ax,by 's arithmetic mean value V

[0035]

[0036] where n is the number of coordinates in the coordinate group a'.

[0037] The calculation method for the distance L between the battery tab and the solar panel is as follows:

[0038]

[0039] where k B is the Boltzmann constant; T is the ambient temperature; q is the unit charge; n idL is the light ideal factor; k is the correction factor; c is the correction constant.

[0040] Corresponding to the above method, the present invention also discloses an automatic identification system for energy storage battery tabs, including:

[0041] An identification device, the identification device includes a solar panel array, and a force-sensitive sensor is placed under each solar panel; parallel light is perpendicular to the solar panel array;

[0042] A data acquisition module for acquiring the response voltage data generated by each solar panel and the force-sensitive signal of each force-sensitive sensor;

[0043] An energy storage battery position calculation module for obtaining a voltage matrix of the energy storage battery based on the response voltage data and voltage distribution of different solar panels, thereby determining the position of the energy storage battery;

[0044] A tab position calculation module, based on the force-sensitive signal generated by the force-sensitive sensor and the formed pressure matrix, thereby determining the position of the battery body of the energy storage battery except for the tabs; according to the difference between the pressure matrix and the voltage matrix, thereby identifying the position of the battery tab;

[0045] The tab height calculation module determines the height of the tab from the solar panel by inversely inferring based on the different light intensities on the panel below the tab when there are differences in the height of the battery tab from the platform, thereby constructing the three-dimensional position of the battery tab.

[0046] Furthermore, the specific calculation method for the position of the energy storage battery is as follows:

[0047] According to the solar panel array method, starting from the coordinate 0 point and using each solar panel as a scale of 1, a solar panel position matrix P is established. Assuming there are n rows and m columns of solar panels, then

[0048]

[0049] According to the voltage of each solar panel, a voltage matrix V corresponding to the position matrix is formed:

[0050]

[0051] Through the voltage V of a certain solar panel a,b and the change rate of the voltage of the nearby panels, calculate the change rate normalization factor i of each solar panel position a,b :

[0052]

[0053] where r is the range radius centered on a certain solar panel, x1 is the horizontal light source consistency correction factor, and x2 is the vertical light source consistency correction factor;

[0054] Thus, a change rate normalization factor matrix I of the position is formed

[0055]

[0056] According to the following criterion, convert the I matrix into an a matrix containing only 0 and 1. The value a(a,b) in the a matrix is as follows:

[0057]

[0058] where l is the change rate judgment factor, and the area where a(a,b)=1 is the position of the battery edge and the battery tab.

[0059] Furthermore, the specific calculation method for the position of the battery body is as follows:

[0060] According to the force-sensitive signals formed by the force-sensitive sensors under each solar panel, form a force-sensitive signal matrix N(a,b) corresponding to the position

[0061]

[0062] The position matrix P of the solar panel is transformed into a matrix n containing only 0 and 1 for force-sensitive response according to the following criteria. The value n(a, b) in the n matrix is as follows:

[0063]

[0064] Among them, n(a, b)=1 indicates that this area is the area covered by the battery body;

[0065] For the value at any position (a1, b1), if there exists a(a1, b1)=1 and n(a1, b1)=0, the position point (a1, b1) is the position where the battery tab is located; let a'(a1, b1)=a(a1, b1), thus forming a group of position point coordinates a' where the battery tab is located.

[0066] Furthermore, the specific calculation method for the height of the energy storage battery tab from the solar panel is as follows: extract the voltage V of the solar panel at all position point coordinate groups a' ax,by , calculate V ax,by 's arithmetic mean

[0067]

[0068] Among them, n is the number of coordinates in the coordinate group a';

[0069] The calculation method for the distance L between the battery tab and the solar panel is as follows:

[0070]

[0071] Among them, k B is the Boltzmann constant; T is the ambient temperature; q is the unit charge; n idL is the illumination ideal factor; k is the correction factor; c is the correction constant.

[0072] Furthermore, the solar panel is a silicon-based solar panel, with a square structure, and the interval between adjacent two solar panels is not greater than 5 mm.

[0073] Furthermore, the size of the force-sensitive sensor is less than or equal to that of the solar panel.

[0074] The advantages of the present invention are as follows:

[0075] Based on the principle that the open - circuit voltage of a solar panel increases with the increase in light intensity, a vertical light illumination facility vertically irradiates a square hard - shell energy - storage battery. In the area of the battery panel array covered by the square hard - shell energy - storage battery, the solar panel receives less light due to the occlusion of the battery case and the ear, resulting in a voltage difference with the un - occluded part. According to the position matrix of the open - circuit voltage of the uniformly distributed solar cells, the shape of the battery and the ear is judged. The pressure matrix sensed by the force - sensitive sensors distributed at the bottom of the small solar panels is used to form a signal difference with the positions not squeezed by the battery, further forming a position matrix of the squeezed solar panels, so as to judge the position of the battery body without the battery ear. Further, according to the shape feature that the ear of the square hard - shell energy - storage battery protrudes from the battery case, there are differences in the pressure matrix and the voltage matrix, so as to identify the position of the battery ear. Further, according to the different light intensities on the solar panel under the ear when there are differences in the height of the battery ear from the platform, the height of the ear from the platform is inversely deduced to construct the three - dimensional position of the battery ear.

[0076] The working platform required for this method is simple to build and has little implementation difficulty. The three - dimensional position of the electrode can be judged through voltage data and force - sensitive data, which has high practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 It is a schematic diagram of the overall structure of the identification device in an embodiment of the present invention;

[0078] Figure 2 is Figure 1 a top - view of the energy - storage battery placed on the solar panel array in DETAILED DESCRIPTION OF THE EMBODIMENTS

[0079] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0080] This embodiment discloses an automatic identification method for the ear of an energy - storage battery, including the following steps:

[0081] S01. Build a solar panel array, and place a force - sensitive sensor 2 under each solar panel 1;

[0082] S02. Place the energy - storage battery 6 on the solar panel 1 array; start the parallel light to irradiate from top to bottom;

[0083] S03. Obtain the response voltage data generated by each solar panel 1 and the force-sensitive signals of each force-sensitive sensor 2;

[0084] S04. Based on the response voltage data and voltage distribution of different solar panels, obtain the voltage matrix of the energy storage battery, so as to determine the position of the energy storage battery;

[0085] S05. Based on the force-sensitive signals generated by the force-sensitive sensors and the formed pressure matrix, determine the position of the battery body of the energy storage battery except for the pole ear; according to the difference between the pressure matrix and the voltage matrix, identify the position of the battery pole ear;

[0086] S06. When there are differences in the height of the battery pole ear from the platform, the light intensity on the solar panel below the pole ear is different. By reverse deduction, determine the height of the pole ear from the solar panel, so as to construct the three-dimensional position of the battery pole ear.

[0087] Specifically as follows:

[0088] According to the array mode of the solar panels 1, starting from the coordinate 0 point, with each solar panel 1 as a scale of 1, establish the position matrix P of the solar panels 1, where there are n rows and m columns of solar panels 1 on the platform.

[0089]

[0090] According to the voltage of each solar panel 1, form the voltage matrix V corresponding to the position matrix:

[0091]

[0092] Furthermore, through the voltage V of a certain solar panel 1 a,b And the change rate of the voltage of the nearby solar panels, calculate the change rate normalization factor i of the position of each solar panel 1 a,b :

[0093]

[0094] Among them, r is the range radius centered on a certain solar panel 1, and the value range is 1-10; x1 is the horizontal light source consistency correction factor, and the value range is 0.8-1.2; x2 is the vertical light source consistency correction factor, and the value range is 0.8-1.2.

[0095] Thus, form the change rate normalization factor matrix I of the position

[0096]

[0097] Convert the I matrix into an a matrix containing only 0 and 1 according to the following criterion. The value a(a, b) in the a matrix is as follows:

[0098]

[0099] Among them, l is the change rate judgment factor, and its value range is 0.01 - 0.001. The area where a(a, b) = 1 is the position of the battery edge and the battery tab 61.

[0100] Furthermore, according to the force-sensitive signals formed by the force-sensitive sensors 2 under each solar panel 1, a force-sensitive signal matrix N(a, b) corresponding to the position is formed.

[0101]

[0102] The position matrix P of the solar panel 1 is converted into a matrix n containing only 0 and 1 of the force-sensitive response through the following criterion. The value n(a, b) in the n matrix is:

[0103]

[0104] Among them, n(a, b) = 1 indicates that this area is the area covered by the battery body.

[0105] Furthermore, for the value at any position (a1, b1), if there exists a(a1, b1) = 1 and n(a1, b1) = 0, the position point (a1, b1) is the position where the battery tab 61 is located. Let a'(a1, b1) = a(a1, b1), thereby forming a coordinate group a' of the position where the battery tab 61 is located.

[0106] Furthermore, extract the voltage V of the solar panel 1 at all position point coordinates a'. ax,by , calculate V ax,by arithmetic mean

[0107]

[0108] Among them, n is the number of coordinates in the coordinate group a'.

[0109] Calculate the distance L between the battery tab 61 and the solar panel 1. The calculation method of the distance L is as follows:

[0110]

[0111] Among them, k B is the Boltzmann constant; T is the environmental temperature; q is the unit charge; n idL is the light ideal factor, and n idL takes values from 1 to 2; k is the correction factor, and its value range is 0 - 1; c is the correction constant, and its value range is 0 - 5.

[0112] Therefore, a position point group a' at the position where the battery tab 61 is located and the distance L between the battery tab 61 and the solar panel 1 are formed, thereby determining the position of the battery tab 61.

[0113] Correspondingly, the present invention also provides an automatic identification system for energy storage battery tabs, as Figure 1 、 Figure 2 shown, including:

[0114] An identification device, a platform 3, a solar panel 1, a force-sensitive sensor 2, a collimated light source 4, a transmission line, and a computer 5.

[0115] The platform 3 is a rigid detection platform 3, on which square millimeter-level solar panels 1 are evenly arranged in an array, and force-sensitive sensors 2 with dimensions smaller than or equal to those of the solar panels 1 are distributed below the solar panels 1;

[0116] The solar panel 1 is a silicon-based solar panel that can absorb collimated light and convert light energy into electrical energy through the photovoltaic effect or the photochemical effect, and can generate a voltage of 0 - 2V. The solar panel 1 has a square structure with a size smaller than 10 mm 2 , and the solar panels 1 are evenly distributed on the platform 3 with a spacing between adjacent panels not greater than 5 mm. Each single solar panel 1 can withstand a pressure of more than 20 g and can bear the weight of the battery.

[0117] The force-sensitive sensor 2 is a force-sensitive resistor. The force-sensitive sensor 2 is located below the solar panel 1 with dimensions smaller than or equal to those of the solar panel 1. The force-sensitive sensor 2 can generate a resistance change when the solar panel bears pressure and sense the pressure signal.

[0118] The collimated light source 4 is used to generate collimated light. When the collimated light is vertically incident, due to the occlusion of the battery, a lightless shadow will be formed on the solar panel 1, thereby affecting the light energy - electrical energy conversion of the solar panel 1, which is manifested as a voltage difference in the external environment;

[0119] The computer 5 is used to control the switch of the collimated light source 4 and collect the voltage distribution data of the solar panel 1, process the voltage data of the solar panel 1 and the data of the force-sensitive sensor 2, and determine the position of the battery tab 61. The computer 5 is loaded with:

[0120] A data acquisition module for acquiring the response voltage data generated by each solar panel 1 and the force-sensitive signals of each force-sensitive sensor 2;

[0121] An energy storage battery 6 position calculation module for determining the position of the energy storage battery 6 based on the response voltage data and voltage distribution of different solar panels 1; the specific calculation method is as described in the above method section.

[0122] The tab 61 position calculation module is used to judge the position of the battery body of the energy storage battery 6 except the tab 61 according to the force-sensitive signals and distributions generated by the force-sensitive sensors 2; the electrode position can be obtained by taking the difference set with the position of the energy storage battery 6; for the specific calculation method, see the above method part.

[0123] The tab 61 height calculation module is used to calculate the height of the tab 61 from the solar panels 1 according to the average voltage of all the solar panels 1 at the position of the battery tab 61; for the specific calculation method, see the above method part.

[0124] The principle of this embodiment is as follows: Based on the principle that the open-circuit voltage of a solar panel increases with the increase of light intensity, by evenly distributing millimeter-scale small solar panels on the recognition platform, after the battery is transported to the recognition platform, a vertical light illumination facility at the top is used to vertically irradiate the square hard-shell energy storage battery and the recognition platform. The area on the recognition platform covered by the square hard-shell energy storage battery cannot receive light due to the occlusion of the battery shell and tabs, resulting in a voltage difference between the occluded part and the unoccluded part of the evenly distributed millimeter-scale solar panels on the platform. According to the position matrix of the open-circuit voltage of the evenly distributed solar cells, the shapes of the battery and the tabs are judged. Using the pressure matrix sensed by the force-sensitive sensors distributed at the bottom of the small solar panels, after the battery is transported to the recognition platform, the battery body will exert a gravitational force on the solar panels, thus forming a signal difference with the positions not squeezed by the battery, and further forming a position matrix of the squeezed solar panels, so as to judge the position of the battery body without the battery tabs. Further, according to the shape characteristics of the tabs of the square hard-shell energy storage battery protruding from the battery shell, there are differences in the pressure matrix and the voltage matrix, so as to identify the positions of the battery tabs. Further, according to the different light intensities on the solar panels below the tabs when the heights of the battery tabs from the platform are different, the height of the tabs from the platform is inversely deduced and determined, so as to construct the three-dimensional positions of the battery tabs.

[0125] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An automatic identification method for the tab of an energy storage battery, characterized in that, It includes the following steps: S01. Set up a solar panel array and place a force-sensitive sensor under each solar panel; S02. Place the energy storage battery on the solar panel array; Start the parallel light to irradiate from top to bottom; S03. Obtain the response voltage data generated by each solar panel and the force-sensitive signal of each force-sensitive sensor; S04. Obtain the voltage matrix of the energy storage battery based on the response voltage data and voltage distribution of different solar panels, so as to determine the position of the energy storage battery; S05. Determine the position of the battery body of the energy storage battery except for the electrode tab based on the force-sensitive signal and distribution formed by the force-sensitive sensor; identify the position of the battery electrode tab according to the difference between the pressure matrix and the voltage matrix; S06. Based on the fact that when the height of the battery electrode tab from the platform is different, the light intensity on the solar panel below the electrode tab is different, inversely deduce and determine the height of the electrode tab from the solar panel, so as to construct the three-dimensional position of the battery electrode tab.

2. The automatic identification method for the tab of an energy storage battery according to claim 1, wherein The specific identification method for the position of the energy storage battery in step S04 is: According to the solar panel array method, starting from the coordinate 0 point, with each solar panel as a scale of 1, establish a solar panel position matrix P. Assuming there are n rows and m columns of solar panels, then Form a voltage matrix V corresponding to the position matrix according to the voltage of each solar panel: Through a certain solar panel voltage V a,b Calculate the change rate normalization factor of each solar panel position based on the change rate of the voltage of the nearby solar panels i a,b : Among them, r is the range radius centered on a certain solar panel, x 1 is the correction factor for the lateral light source consistency, x 2 is the correction factor for the longitudinal light source consistency; Thus, a normalized factor matrix I of the position change rate is formed Convert the I matrix into a matrix containing only 0 and 1 according to the following criteria a matrix, a The values in the matrix a (a, b) are as follows: Among them, l is the change rate judgment factor, a The region where (a, b) = 1 is the position of the battery edge and the battery tab.

3. The automatic identification method for the tab of an energy storage battery according to claim 2, characterized in that, The specific identification method for the position of the battery body in step S05 is: Form a force-sensitive signal matrix N(a, b) corresponding to the position according to the force-sensitive signal formed by the force-sensitive sensor under each solar panel Through the following criterion, convert the solar panel position matrix P into a matrix n that only contains 0 and 1 for force-sensitive response. The value n(a, b) in the n matrix is: Among them, When = 1, it indicates that this area is the area covered by the battery body; For the value at any position (a1, b1), if there exists a (a1, b1) = 1 and n(a1, b1) = 0, the position point (a1, b1) is the position where the battery tab is located; let a ’(a1, b1) = a (a1, b1), thus forming the position point coordinate group a ’ 4. A method for automatically identifying the tabs of an energy storage battery according to claim 3, characterized in that, The specific calculation method for the height of the energy storage battery tab from the solar panel in step S06 is as follows: extract the coordinate groups of all position points a the voltage of the solar panel at V ax,by , calculate V ax,by the arithmetic mean of where n is the number of coordinates in the coordinate group a '. The distance between the battery tab and the solar panel L The calculation method is as follows: where k B is the Boltzmann constant; T is the ambient temperature; q is the unit charge; n idL is the ideality factor of light; k is the correction factor; c is the correction constant.

5. An automatic identification system for the tab of an energy storage battery, characterized in that, It includes: An identification device, which includes a solar panel array, and a force-sensitive sensor is placed under each solar panel; The parallel light is perpendicular to the solar panel array; A data acquisition module for obtaining the response voltage data generated by each solar panel and the force-sensitive signal of each force-sensitive sensor; An energy storage battery position calculation module for obtaining the voltage matrix of the energy storage battery based on the response voltage data and voltage distribution of different solar panels, so as to determine the position of the energy storage battery; An electrode tab position calculation module for determining the position of the battery body of the energy storage battery except for the electrode tab based on the force-sensitive signal and distribution formed by the force-sensitive sensor; identifying the position of the battery electrode tab according to the difference between the pressure matrix and the voltage matrix; An electrode tab height calculation module for calculating the height of the electrode tab from the solar panel based on the average voltage of all solar panels at the position of the battery electrode tab.

6. The automatic identification system for the tab of an energy storage battery according to claim 5, wherein The specific calculation method for the position of the energy storage battery is: According to the solar panel array method, starting from the coordinate 0 point, with each solar panel as a scale of 1, establish a solar panel position matrix P. Assuming there are n rows and m columns of solar panels, then Form a voltage matrix V corresponding to the position matrix according to the voltage of each solar panel: Based on the voltage of a certain solar panel V a,b and the rate of change of the voltage of nearby panels, calculate the rate-of-change normalization factor for each solar panel position i a,b : where r is the range radius centered on a certain solar panel x 1 is the correction factor for the lateral light source consistency x 2 is the correction factor for the longitudinal light source consistency Thus, a normalized factor matrix I of the rate of change of position is formed Convert the I matrix into a matrix containing only 0s and 1s according to the following criteria a matrix, a The values in the matrix a (a, b) are as follows: Among them, l is the change rate judgment factor, a The region where (a, b) = 1 is the position of the battery edge and the battery tab.

7. An automatic identification system for the tabs of an energy storage battery according to claim 6, characterized in that The specific calculation method for the position of the battery body is as follows: According to the force-sensitive signals formed by the force-sensitive sensors under each solar panel, a force-sensitive signal matrix N(a, b) corresponding to the position is formed Through the following criterion, the position matrix P of the solar panel is converted into a matrix n containing only 0 and 1 for the force-sensitive response. The value n(a, b) in the n matrix is: Among them, A value of = 1 indicates that this area is the area covered by the battery body; For the value at any position (a1, b1), if there exists a (a1, b1) = 1 and n(a1, b1) = 0, the position point (a1, b1) is the position where the battery tab is located; let a ’(a1, b1) = a (a1, b1), thus forming the position point coordinate group a ’.

8. An automatic identification system for the tabs of an energy storage battery according to claim 7, characterized in that The specific calculation method for the height of the energy storage battery tab from the solar panel is as follows: Extract the coordinate groups of all position points a The voltage of the solar panel at V ax,by , calculate V ax,by The arithmetic mean of where n is the number of coordinates in the coordinate group a '; The distance between the battery tab and the solar panel L The calculation method is as follows: wherein, k B is the Boltzmann constant; T is the ambient temperature; q is the unit charge; n idL is the ideality factor of light; k is the correction factor; c is the correction constant.

9. An automatic identification system for the tabs of an energy storage battery according to any one of claims 5 to 8, characterized in that, The solar panel is a silicon-based solar panel, with a square structure, and the interval between adjacent solar panels is no more than 5 mm 10. The automatic identification system for the tabs of an energy storage battery according to claim 9, characterized in that, The size of the force-sensitive sensor is less than or equal to that of the solar panel

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