CN110673038B - Battery detection method, device and system - Google Patents
Battery detection method, device and system Download PDFInfo
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- CN110673038B CN110673038B CN201910933093.6A CN201910933093A CN110673038B CN 110673038 B CN110673038 B CN 110673038B CN 201910933093 A CN201910933093 A CN 201910933093A CN 110673038 B CN110673038 B CN 110673038B
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- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/16—Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge
Abstract
The invention discloses a battery detection method, a device and a system; the method comprises the following steps: after acquiring the front image information and the left image information of the battery to be detected, preprocessing the acquired image information to obtain a corresponding front upper contour curve, a front lower contour curve, a left side upper contour curve and a left side lower contour curve, further acquiring three-dimensional space distribution information of the battery to be detected, calculating the volume of the current battery to be detected according to the three-dimensional space distribution information, comparing the volume with the standard volume of the battery to be detected, finally obtaining the deformation amount of the battery to be detected, and completing the detection process of the battery; the technical problems of long time consumption and low efficiency caused by the fact that in the prior art, battery detection needs operators to charge and discharge the battery to be detected are solved, and the reliable and efficient battery detection method is provided.
Description
Technical Field
The invention relates to the technical field of battery detection, in particular to a battery detection method, device and system.
Background
With the rise of the electric automobile industry and the wide application of portable power consumption equipment, the problem of recycling rechargeable batteries becomes one of the key technical problems faced by electric automobile enterprises and battery research and development enterprises, and the recycling of batteries by adopting a reliable and efficient technical means is beneficial to reducing the production cost of enterprises and promoting the development of the battery industry and the electric automobile industry.
The detection of the rechargeable battery requires the charging and discharging test of the battery to be detected by means of the battery charging and discharging equipment, and the operation of continuously testing the battery to be detected by operators, so that the detection mode of the battery is long in time consumption, the personnel are required to participate in the whole process, and the efficient and automatic battery detection mode cannot be realized.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. To this end, it is an object of the present invention to provide a reliable and efficient battery detection method.
The technical scheme adopted by the invention is as follows:
in a first aspect, the present invention provides a battery detection method, which includes:
acquiring front image information and left image information of a battery to be tested, and respectively preprocessing the front image information and the left image information;
obtaining a front upper contour curve and a front lower contour curve corresponding to the front image information and a left side upper contour curve and a left side lower contour curve corresponding to the left image information according to the preprocessing result;
obtaining three-dimensional space distribution information of the battery to be tested according to the front upper contour curve, the front lower contour curve, the left side upper contour curve and the left side lower contour curve;
and obtaining the current volume of the battery to be tested according to the three-dimensional spatial distribution information, and obtaining the deformation quantity of the battery to be tested according to the current volume and the standard volume of the battery to be tested.
Further, the battery detection method further includes:
and grading the battery to be tested according to the deformation quantity.
Further, the respectively preprocessing the front image information and the left image information specifically includes:
and respectively carrying out image filtering processing, binarization processing and morphological processing on the front image information and the left image information, and outputting the preprocessing result.
Further, obtaining a front upper contour curve and a front lower contour curve corresponding to the front image information and a left side upper contour curve and a left side lower contour curve corresponding to the left image information according to the preprocessing result specifically includes:
calculating a connected domain of the preprocessing result to obtain a front upper contour point, a front lower contour point, a left side upper contour point and a left side lower contour point;
fitting the upper contour points and the lower contour points of the front surface by a quadratic polynomial to obtain an upper contour curve and a lower contour curve of the front surface;
and fitting the upper contour points of the left side surface and the lower contour points of the left side surface by using a quadratic polynomial to obtain the upper contour curve of the left side surface and the lower contour curve of the left side surface.
Further, the obtaining of the three-dimensional spatial distribution information of the battery to be tested specifically includes:
obtaining a front face fitting curve of the battery to be tested according to the front face upper contour curve and the front face lower contour curve;
obtaining a left side surface fitting curve of the battery to be tested according to the left side surface upper contour curve and the left side surface lower contour curve;
respectively carrying out alignment conversion on the front fitted curve and the left side fitted curve;
performing stretching conversion on the left side surface fitting curve by taking the front surface fitting curve as a standard;
establishing a space coordinate system, and establishing a three-dimensional space structure of the battery to be tested by taking the front fitted curve as a datum curve along an X axis and the left side fitted curve as a datum curve along a Y axis;
taking a plurality of mark points along a Y axis, and acquiring component information of the three-dimensional space distribution information which passes through the mark points, is perpendicular to the Y axis and is intersected with the three-dimensional space structure in the Y axis;
and obtaining the three-dimensional spatial distribution information according to the component information of the three-dimensional spatial distribution information in the Y axis.
In a second aspect, the present invention provides a battery testing apparatus, comprising:
the image acquisition preprocessing module is used for acquiring front image information and left image information of a battery to be detected and respectively preprocessing the front image information and the left image information;
the contour curve calculation module is used for obtaining a front upper contour curve and a front lower contour curve corresponding to the front image information and a left side upper contour curve and a left side lower contour curve corresponding to the left image information according to the preprocessing result;
the three-dimensional space distribution information calculation module is used for obtaining the three-dimensional space distribution information of the battery to be tested according to the front upper contour curve, the front lower contour curve, the left side upper contour curve and the left side lower contour curve;
and the deformation calculation module of the battery to be tested is used for obtaining the current volume of the battery to be tested according to the three-dimensional space distribution information and obtaining the deformation amount of the battery to be tested according to the current volume and the standard volume of the battery to be tested.
Further, the battery detection apparatus further includes:
and the battery grade division module is used for grading the battery to be tested according to the deformation quantity.
In a third aspect, the present invention provides a battery detection system, comprising: the system comprises a first image acquisition device, a second image acquisition device, a transmission device and a processor;
the transmission device is used for transmitting the battery to be tested;
the first image acquisition device is used for acquiring front image information of the battery to be detected and transmitting the front image information to the processor;
the second image acquisition device is used for acquiring left image information of the battery to be detected and transmitting the left image information to the processor;
the processor performs the battery detection method according to any one of claims 1 to 5 based on the received front side image information and the left side image information.
Further, the transmission device comprises a transverse conveyor belt and a longitudinal conveyor belt; the first image acquisition device is arranged on the side edge of the transverse conveyor belt to acquire the front image information; the side edge of the longitudinal conveyor belt is provided with the first image acquisition device to acquire the left image information.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon computer-executable instructions for causing a computer to perform the battery detection method.
The invention has the beneficial effects that:
the invention relates to a battery detection method, which comprises the steps of obtaining front image information and left image information of a battery to be detected, preprocessing the obtained image information to obtain a corresponding front upper contour curve, a front lower contour curve, a left side upper contour curve and a left side lower contour curve, further obtaining three-dimensional space distribution information of the battery to be detected, calculating the volume of the current battery to be detected according to the three-dimensional space distribution information, comparing the volume with a standard volume of the battery to be detected, finally obtaining the deformation amount of the battery to be detected, and completing the detection process of the battery; the technical problems of long time consumption and low efficiency caused by the fact that in the prior art, battery detection needs operators to charge and discharge the battery to be detected are solved, and the reliable and efficient battery detection method is provided.
Drawings
FIG. 1 is a flow chart of one embodiment of a battery testing method of the present invention;
FIG. 2 is a schematic diagram of an embodiment of a method for detecting a battery according to the present invention, in which connected domain calculation is performed on front image information of a battery to be detected to obtain front upper contour points and front lower contour points;
FIG. 3 is a schematic diagram of an embodiment of a method for testing a battery according to the present invention, in which quadratic polynomial fitting is performed on front image information of the battery to be tested to obtain a front upper contour curve and a front lower contour curve;
FIG. 4 is a schematic diagram of three-dimensional spatial distribution information of a battery to be tested in a battery testing method according to the present invention;
FIG. 5 is a block diagram of a battery testing apparatus according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The first embodiment is as follows:
the embodiment of the invention provides a battery detection method, which comprises the following steps:
s100, acquiring front image information and left image information of a battery to be detected, and respectively preprocessing the front image information and the left image information;
s200, acquiring a front upper contour curve and a front lower contour curve corresponding to the front image information and a left side upper contour curve and a left side lower contour curve corresponding to the left image information according to a preprocessing result;
s300, obtaining three-dimensional space distribution information of the battery to be tested according to the front upper contour curve, the front lower contour curve, the left side upper contour curve and the left side lower contour curve;
s400, obtaining the current volume of the battery to be tested according to the three-dimensional spatial distribution information, and obtaining the deformation quantity of the battery to be tested according to the current volume and the standard volume of the battery to be tested.
In the embodiment of the invention, the deformation quantity of the battery to be detected is obtained by obtaining the image of the battery to be detected, processing the obtained image to obtain the current volume of the battery to be detected and comparing the current volume with the standard volume of the battery to be detected, so that the reliable and efficient battery detection method is provided. In addition, the battery to be tested can be classified according to the deformation quantity of the current battery to be tested, and the corresponding application of the battery to be tested is marked according to different grading steps of the battery to be tested. For example: marking the battery to be tested in the deformation amount range of 0-2 percent as being capable of being used continuously and safely; marking the battery to be tested in the deformation amount range of [ 2-4% ] as the battery charging cut-off voltage needing to be reduced; and when the deformation quantity exceeds 4%, marking the battery to be tested as incapable of being used continuously.
Specifically, in step S100, the preprocessing the front image information and the left image information specifically includes: and respectively carrying out image filtering processing, binarization processing and morphological processing on the front image information and the left image information. Image filtering processing is carried out, so that image noise in the acquired front image information and the acquired left image information is suppressed, and the effectiveness and reliability of subsequent processing of the two images are improved; carrying out binarization processing to reduce the data volume in the acquired front image information and the left image information, so as to highlight the outline in the front image information and the outline in the left image information; performing morphological processing to eliminate pixel points which are not at the edge of the battery in the front image information and the left image information and further highlight the outline in the front image information and the outline in the left image information; and after the preprocessing process of the front image information and the left image information, outputting the preprocessed image data information.
In step S200, it specifically includes the sub-steps of:
s210, calculating a connected domain of the preprocessing result to obtain a front upper contour point, a front lower contour point, a left side upper contour point and a left side lower contour point;
specifically, referring to fig. 2, after image information obtained after front image information preprocessing is obtained, a rectangular coordinate system is established with the vertical length direction of pixels occupied by an image in the front image information as the X-axis direction for analysis, a line segment perpendicular to the cross-axis direction is made, an intersection point of the line segment and the upper part of the connected domain is a front upper contour point, an intersection bottom of the line segment and the lower part of the connected domain is a front lower contour point, and a group of front upper contour points and a group of front lower contour points are obtained after an interval occupied by the image information obtained after front image information preprocessing on the cross-axis is traversed; similarly, the image information after the left image information preprocessing is processed according to the same processing mode, and the left upper contour point and the left lower contour point are obtained.
S211, fitting the upper contour points and the lower contour points of the front surface by a quadratic polynomial to obtain an upper contour curve and a lower contour curve of the front surface;
specifically, referring to fig. 3, the upper profile curve and the lower profile curve of the front surface obtained by quadratic polynomial fitting are represented as follows:
wherein, y1upFront upper wheel fitting for quadratic polynomialContour curve, y1downFront lower profile curve fitted for quadratic polynomial, a1、b1、c1Is y1upFitting parameters of a2、b2、c2Is y1downThe fitting parameters of (1).
S212, fitting the upper contour point of the left side surface and the lower contour point of the left side surface by using a quadratic polynomial to obtain a left side surface upper contour curve and a left side surface lower contour curve;
similarly, according to the above step S211, the left side upper contour curve and the left side lower contour curve can be obtained as follows:
wherein, y2upContour curve on left side, y, fitted for quadratic polynomial2downLeft hand side lower profile curve fitted for quadratic polynomial, a3、b3、c3Is y2upFitting parameters of a4、b4、c4Is y2downThe fitting parameters of (1).
In step S300, the method specifically includes the following substeps:
s301, obtaining a front face fitting curve of the battery to be tested according to the front face upper contour curve and the front face lower contour curve;
recording the horizontal length of a pixel occupied by an image in the front image information as n, recording the vertical length of the pixel occupied by the image in the front image information as m, and expressing a front fitting curve of the battery to be tested according to the formula (1) as follows:
La(i)＝{y1up,y1down|i} (3)
wherein i is 1,2,3, … n. The profile curve on the front face can be expressed as: y is1up(i)＝La_up(i) (ii) a The front lower profile curve can be expressed as: y is1down(i)＝La_down(i) The height difference between the front upper profile curve and the front lower profile curve at the ith point is expressed as: ha(i)＝La_up(i)-La_down(i)。
S302, obtaining a left side surface fitting curve of the battery to be tested according to the left side surface upper contour curve and the left side surface lower contour curve;
then, according to the above steps, the left side surface fitting curve of the battery to be tested can be represented as:
Lb(j)＝{y2up,y2down|j} (4)
wherein j is 1,2,3, … m. The profile curve on the left side can be expressed as: y is2up(j)＝Lb_up(j) (ii) a The left side lower profile curve may be expressed as: y is2down(j)＝Lb_down(j) The height difference between the left side upper profile curve and the left side lower profile curve at the j-th point is expressed as: hb(j)＝Lb_up(j)-Lb_down(j)。
S303, respectively carrying out alignment conversion on the positive fitting curve and the left fitting curve;
specifically, the front fitted curve and the left side fitted curve are respectively made to have a minimum value of 0, that is, the minimum value of the obtained alignment front fitted curve and the alignment left side fitted curve is:
La1＝La-min(La) (5)
Lb1＝Lb-min(Lb) (6)
s304, performing stretching conversion on the new left side surface fitting curve by taking the new front surface fitting curve as a standard;
in particular, the maximum height difference max (H) is determined from the front upper profile curve and the front lower profile curvea) And the maximum height difference max (H) between the front upper profile curve and the front lower profile curveb) Then, the stretched left-side fitted curve is obtained as:
Lb2＝(max(Ha)/max(Hb))·La1 (7)
s305, establishing a space coordinate system, taking the aligned front-side fitting curve as a reference curve along an X axis, and taking the stretched left-side fitting curve as a reference curve along a Y axis to construct a three-dimensional space structure of the battery to be tested;
s306, taking a plurality of marking points along the Y axis, and acquiring component information of three-dimensional space distribution information which passes through the marking points, is perpendicular to the Y axis and is intersected with the three-dimensional space structure in the Y axis;
specifically, j points are taken on the Y axis, where j is the vertical length m of the pixel occupied by the image in the front image information, and then Y-axis component information passing through the j points, perpendicular to the U axis, and intersecting with the three-dimensional space structure is obtained, that is:
wherein, Kj＝Hb(j)/max(Hb)。
From which a set of curves can be derived
And further obtain three-dimensional spatial distribution information, as shown in 4, namely:
wherein i is 1,2,. n; j is 1, 2.
In step S400, the current volume of the battery to be tested is obtained according to the three-dimensional spatial distribution information, and the deformation amount of the battery to be tested is obtained according to the current volume and the standard volume of the battery to be tested.
Specifically, after the three-dimensional spatial distribution information of the battery to be tested is obtained in step S306, the volume of the current battery to be tested is obtained as follows:
wherein n is 3755, m is 3509;
can be obtained by combining the contents described in the formula (8), the formula (9), S301, S302, and S303; 11.7/nAnd 9.8/m is the conversion of pixel units into cm units.
Finally, the obtained current volume V of the battery to be measured and the standard volume V of the battery to be measured0And obtaining the deformation quantity of the battery to be detected after comparison, and finishing the process of battery detection.
In summary, the battery detection method in the embodiment of the invention solves the technical problems of long time consumption and low efficiency caused by the fact that an operator needs to charge and discharge the battery to be detected in the prior art, and provides a reliable and efficient battery detection method.
Example two:
referring to fig. 5, an embodiment of the present invention provides a battery detection apparatus, including:
the image acquisition preprocessing module is used for acquiring the front image information and the left image information of the battery to be detected and respectively preprocessing the front image information and the left image information;
the contour curve calculation module is used for obtaining a front upper contour curve and a front lower contour curve corresponding to the front image information and a left side upper contour curve and a left side lower contour curve corresponding to the left image information according to the preprocessing result;
the three-dimensional space distribution information calculation module is used for obtaining the three-dimensional space distribution information of the battery to be tested according to the front upper contour curve, the front lower contour curve, the left side upper contour curve and the left side lower contour curve;
and the deformation calculation module of the battery to be measured is used for obtaining the current volume of the battery to be measured according to the three-dimensional spatial distribution information and obtaining the deformation amount of the battery to be measured according to the current volume and the standard volume of the battery to be measured.
In addition, the battery detection device in the embodiment of the invention further comprises:
and the battery grade division module is used for grading the battery to be tested according to the deformation quantity.
In the battery detection device provided in the embodiment of the present invention, the implemented process principle may be referred to and corresponds to the process principle implemented by the battery detection method in the first embodiment, and details are not repeated herein.
The embodiment of the invention provides a battery detection device, solves the technical problems of long time consumption and low efficiency caused by the fact that an operator needs to charge and discharge a battery to be detected in the prior art, and provides a high-efficiency battery detection device based on image detection.
Example three:
the embodiment of the invention provides a battery detection system, which comprises a first image acquisition device, a second image acquisition device, a transmission device and a processor, wherein the first image acquisition device is used for acquiring a first image;
the transmission device is used for transmitting the battery to be tested;
the first image acquisition device is used for acquiring the front image information of the battery to be detected and transmitting the front image information to the processor;
the second image acquisition device is used for acquiring left image information of the battery to be detected and transmitting the left image information to the processor;
the processor executes the battery detection method according to the first embodiment according to the received front image information and the left image information.
Specifically, in the embodiment of the present invention, the transmission device includes a transverse conveyor belt and a longitudinal conveyor belt, a first image acquisition device is disposed on a side edge of the transverse conveyor belt and is used for acquiring front image information of the battery to be detected when the battery is transmitted on the transverse conveyor belt, and a second image acquisition device is disposed on one side of the longitudinal conveyor belt and is used for acquiring left image information of the battery to be detected when the battery is transmitted on the longitudinal conveyor belt.
In addition, a classification shunting module can be arranged at the tail end of the longitudinal conveyor belt and is connected with the processor, and the processor controls the classification shunting module to classify the battery to be detected according to the calculated deformation quantity of the battery to be detected, so that the corresponding application of the battery to be detected is marked according to different classification steps of the battery to be detected.
To sum up, the battery detection system provided by the embodiment of the invention solves the technical problems of long time consumption and low efficiency caused by the fact that an operator needs to charge and discharge a battery to be detected in the prior art, and provides an efficient and automatic battery detection system.
Example four:
the embodiment of the invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used for enabling a computer to execute the battery detection method according to the first embodiment.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A battery testing method, comprising:
acquiring front image information and left image information of a battery to be tested, and respectively preprocessing the front image information and the left image information;
obtaining a front upper contour curve and a front lower contour curve corresponding to the front image information and a left side upper contour curve and a left side lower contour curve corresponding to the left image information according to the preprocessing result;
obtaining three-dimensional space distribution information of the battery to be tested according to the front upper contour curve, the front lower contour curve, the left side upper contour curve and the left side lower contour curve;
obtaining the current volume of the battery to be tested according to the three-dimensional spatial distribution information, and obtaining the deformation quantity of the battery to be tested according to the current volume and the standard volume of the battery to be tested;
the obtaining of the front upper contour curve and the front lower contour curve corresponding to the front image information and the left side upper contour curve and the left side lower contour curve corresponding to the left image information by the preprocessing result specifically includes:
calculating a connected domain of the preprocessing result to obtain a front upper contour point, a front lower contour point, a left side upper contour point and a left side lower contour point;
fitting the upper contour points and the lower contour points of the front surface by a quadratic polynomial to obtain an upper contour curve and a lower contour curve of the front surface;
fitting the upper contour points of the left side surface and the lower contour points of the left side surface by using a quadratic polynomial to obtain an upper contour curve of the left side surface and a lower contour curve of the left side surface;
the obtaining of the three-dimensional spatial distribution information of the battery to be tested specifically includes:
obtaining a front face fitting curve of the battery to be tested according to the front face upper contour curve and the front face lower contour curve;
obtaining a left side surface fitting curve of the battery to be tested according to the left side surface upper contour curve and the left side surface lower contour curve;
respectively carrying out alignment conversion on the front fitted curve and the left side fitted curve;
performing stretching conversion on the left side surface fitting curve by taking the front surface fitting curve as a standard;
establishing a space coordinate system, and establishing a three-dimensional space structure of the battery to be tested by taking the front fitted curve as a datum curve along an X axis and the left side fitted curve as a datum curve along a Y axis;
taking a plurality of marking points along a Y axis, and acquiring Y-axis component information which passes through the marking points, is perpendicular to the Y axis and is intersected with the three-dimensional space structure;
and obtaining the three-dimensional spatial distribution information according to the component information of the three-dimensional spatial distribution information in the Y axis.
2. The battery test method of claim 1, further comprising:
and grading the battery to be tested according to the deformation quantity.
3. The battery detection method according to claim 1 or 2, wherein the respectively preprocessing the front side image information and the left side image information specifically comprises:
and respectively carrying out image filtering processing, binarization processing and morphological processing on the front image information and the left image information, and outputting the preprocessing result.
4. A battery test apparatus, comprising:
the image acquisition preprocessing module is used for acquiring front image information and left image information of a battery to be detected and respectively preprocessing the front image information and the left image information;
the contour curve calculation module is used for obtaining a front upper contour curve and a front lower contour curve corresponding to the front image information and a left side upper contour curve and a left side lower contour curve corresponding to the left image information according to the preprocessing result; the obtaining of the front upper contour curve and the front lower contour curve corresponding to the front image information and the left side upper contour curve and the left side lower contour curve corresponding to the left image information by the preprocessing result specifically includes:
calculating a connected domain of the preprocessing result to obtain a front upper contour point, a front lower contour point, a left side upper contour point and a left side lower contour point;
fitting the upper contour points and the lower contour points of the front surface by a quadratic polynomial to obtain an upper contour curve and a lower contour curve of the front surface;
fitting the upper contour points of the left side surface and the lower contour points of the left side surface by using a quadratic polynomial to obtain an upper contour curve of the left side surface and a lower contour curve of the left side surface;
the three-dimensional spatial distribution information calculation module is configured to obtain three-dimensional spatial distribution information of the battery to be tested according to the front upper contour curve, the front lower contour curve, the left side upper contour curve and the left side lower contour curve, where the obtaining of the three-dimensional spatial distribution information of the battery to be tested specifically includes:
obtaining a front face fitting curve of the battery to be tested according to the front face upper contour curve and the front face lower contour curve;
obtaining a left side surface fitting curve of the battery to be tested according to the left side surface upper contour curve and the left side surface lower contour curve;
respectively carrying out alignment conversion on the front fitted curve and the left side fitted curve;
performing stretching conversion on the left side surface fitting curve by taking the front surface fitting curve as a standard;
establishing a space coordinate system, and establishing a three-dimensional space structure of the battery to be tested by taking the front fitted curve as a datum curve along an X axis and the left side fitted curve as a datum curve along a Y axis;
taking a plurality of marking points along a Y axis, and acquiring Y-axis component information which passes through the marking points, is perpendicular to the Y axis and is intersected with the three-dimensional space structure;
obtaining the three-dimensional spatial distribution information according to the component information of the three-dimensional spatial distribution information in the Y axis;
and the deformation calculation module of the battery to be tested is used for obtaining the current volume of the battery to be tested according to the three-dimensional space distribution information and obtaining the deformation amount of the battery to be tested according to the current volume and the standard volume of the battery to be tested.
5. The battery test apparatus of claim 4, further comprising:
and the battery grade division module is used for grading the battery to be tested according to the deformation quantity.
6. A battery test system, comprising: the system comprises a first image acquisition device, a second image acquisition device, a transmission device and a processor;
the transmission device is used for transmitting the battery to be tested;
the first image acquisition device is used for acquiring front image information of the battery to be detected and transmitting the front image information to the processor;
the second image acquisition device is used for acquiring left image information of the battery to be detected and transmitting the left image information to the processor;
the processor performs the battery detection method according to any one of claims 1 to 3 based on the received front side image information and the left side image information.
7. The battery detection system of claim 6, wherein the transmission comprises a transverse conveyor and a longitudinal conveyor; the first image acquisition device is arranged on the side edge of the transverse conveyor belt to acquire the front image information; and the second image acquisition device is arranged on the side edge of the longitudinal conveyor belt to acquire the left image information.
8. A computer-readable storage medium storing computer-executable instructions for causing a computer to perform the battery detection method according to any one of claims 1 to 3.
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