CN116298907A - Battery short circuit detection method, device, equipment and storage medium - Google Patents
Battery short circuit detection method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention belongs to the technical field of battery detection, and discloses a battery short circuit detection method, device, equipment and storage medium. According to the invention, a thermal infrared image of the surface of the battery is obtained, a battery surface temperature value is obtained according to the thermal infrared image, temperature compensation is carried out on the battery surface temperature value, an actual temperature value of the battery is obtained, a maximum temperature value set is obtained according to a temperature change trend corresponding to the actual temperature value when the actual temperature value is abnormal, the maximum temperature value set is input into a battery short circuit detection model, the battery short circuit probability is obtained, and when the battery short circuit probability is higher than a preset reminding threshold value, circuit short circuit reminding information is sent out. Through the infrared temperature measurement to the battery surface, can obtain the temperature on battery surface, through the detection to battery surface temperature, judge whether the battery has the condition of local high temperature, and then confirm whether the battery takes place the short circuit, can carry out short circuit detection to a plurality of batteries when the battery stores.
Description
Technical Field
The present invention relates to the field of battery detection technologies, and in particular, to a method, an apparatus, a device, and a storage medium for detecting a battery short circuit.
Background
The battery is required to be stored in a warehouse during a period from the time of production to the time of transportation and sales, and is stored according to standard storage conditions during the storage period of the battery, but in the storage process of the battery, the battery is possibly burnt and exploded due to short circuit in the battery, so that the safety of other batteries and related staff is affected, and in the present, no better method is available for detecting the battery in the warehouse to judge whether the battery is short-circuited, so that serious consequences can be caused after the battery is short-circuited in the storage process.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a battery short circuit detection method, device, equipment and storage medium, and aims to solve the technical problem that batteries in a warehouse cannot be short-circuited in the prior art.
In order to achieve the above object, the present invention provides a battery short circuit detection method, comprising the steps of:
acquiring a thermal infrared image of the surface of the battery, and acquiring a temperature value of the surface of the battery according to the thermal infrared image;
Performing temperature compensation on the battery surface temperature value according to the temperature detection distance of the infrared rays to obtain an actual temperature value of the battery;
when the actual temperature value is abnormal, obtaining a highest temperature value set according to a temperature change trend corresponding to the actual temperature value;
inputting the highest temperature value set into a battery short circuit detection model to obtain battery short circuit probability;
and when the battery short circuit probability is higher than a preset reminding threshold value, sending out circuit short circuit reminding information.
Optionally, the acquiring the battery surface temperature value according to the thermal infrared image includes:
extracting pixel values of the thermal infrared image;
extracting color parameters of the pixel values;
and obtaining a temperature value corresponding to the color parameter according to the corresponding relation between the color parameter and the color temperature, and taking the temperature value as a battery surface temperature value.
Optionally, the performing temperature compensation on the battery surface temperature value to obtain a battery actual temperature value includes:
acquiring a current environmental temperature value;
obtaining a compensation coefficient at the current ambient temperature according to the ambient temperature value, the temperature detection distance and the temperature compensation relation;
and carrying out temperature compensation on the surface temperature according to the compensation coefficient to obtain an actual temperature value of the battery.
Optionally, when the actual temperature value is abnormal, obtaining a set of maximum temperature values according to a temperature change trend corresponding to the actual temperature value, including:
moving a detection block on the thermal infrared image according to a preset step length and a preset path, and extracting an actual temperature value in the range of the detection block;
numbering the areas passed by the detection blocks to obtain the positions of the detection blocks;
judging the actual temperature value in the range of the detection block, and determining the temperature change trend;
determining adjacent detection blocks according to the current detection block positions, and combining the temperature change trends of the detection blocks to obtain local temperature change trends;
if the local temperature change trend is higher than a preset change threshold, obtaining a local highest temperature value according to the local temperature change trend;
and counting according to the local maximum temperature value to obtain a maximum temperature value set.
Optionally, when the local temperature variation trend is higher than a preset variation threshold, obtaining the local maximum temperature value according to the local temperature variation trend further includes:
according to the relative position of the current detection block in the thermal infrared image;
And determining the position coordinates of the temperature anomaly area according to the relative positions.
Optionally, the inputting the set of maximum temperature values into a battery short circuit detection model to obtain a battery short circuit probability includes:
determining a smooth value according to the local variation trend and the position coordinates;
processing the local change trend according to the smooth value to obtain a processed local change trend;
obtaining a correlation coefficient between the local highest temperature value and the position coordinate according to the processed local variation trend;
carrying out feature extraction on the local highest temperature value and the position coordinates according to the processed local change trend of the correlation coefficient to obtain a feature value;
taking the characteristic value as input of the battery short circuit detection model to carry out short circuit prediction to obtain a prediction result;
and carrying out probability correction on the prediction result according to a preset correction strategy to obtain the probability of the battery circuit.
Optionally, when the battery short-circuit probability is higher than a preset reminding threshold, sending out a circuit short-circuit reminding message, including:
when the battery short circuit probability is higher than a preset reminding threshold value, acquiring the number information of the current battery;
Generating battery short-circuit reminding information according to the battery short-circuit probability and the serial number information;
and sending the battery short-circuit reminding information to reminding equipment for reminding the battery short-circuit.
In addition, in order to achieve the above object, the present invention also provides a battery short-circuit detection device, including:
the temperature acquisition module is used for acquiring a thermal infrared image of the surface of the battery and acquiring a temperature value of the surface of the battery according to the thermal infrared image;
the temperature compensation module is used for carrying out temperature compensation on the battery surface temperature value according to the temperature detection distance of the infrared rays to obtain an actual temperature value of the battery;
the temperature detection module is used for obtaining a highest temperature value set according to the temperature change trend corresponding to the actual temperature value when the actual temperature value is abnormal;
the short circuit detection module is used for inputting the highest temperature value set into a battery short circuit detection model to obtain battery short circuit probability;
and the short circuit reminding module is used for sending out circuit short circuit reminding information when the battery short circuit probability is higher than a preset reminding threshold value.
In addition, in order to achieve the above object, the present invention also proposes a battery short-circuit detection apparatus including: a memory, a processor, and a battery short detection program stored on the memory and executable on the processor, the battery short detection program configured to implement the steps of the battery short detection method as described above.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon a battery short-circuit detection program which, when executed by a processor, implements the steps of the battery short-circuit detection method as described above.
According to the invention, a thermal infrared image of the surface of a battery is obtained, a battery surface temperature value is obtained according to the thermal infrared image, temperature compensation is carried out on the battery surface temperature value according to the temperature detection distance of infrared rays, an actual temperature value of the battery is obtained, when the actual temperature value is abnormal, a maximum temperature value set is obtained according to the temperature change trend corresponding to the actual temperature value, the maximum temperature value set is input into a battery short circuit detection model, the battery short circuit probability is obtained, and when the battery short circuit probability is higher than a preset reminding threshold value, circuit short circuit reminding information is sent out. Through the infrared temperature measurement to the battery surface, can obtain the temperature on battery surface, through the detection to battery surface temperature, judge whether the battery has the condition of local high temperature, and then confirm whether the battery takes place the short circuit, can carry out short circuit detection to a plurality of batteries when the battery stores.
Drawings
Fig. 1 is a schematic structural diagram of a battery short-circuit detection device in a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart of a first embodiment of a method for detecting a short circuit of a battery according to the present invention;
FIG. 3 is a flowchart of a second embodiment of a method for detecting a short circuit of a battery according to the present invention;
FIG. 4 is a schematic diagram illustrating an embodiment of a method for detecting a short circuit of a battery according to the present invention;
fig. 5 is a block diagram showing the structure of a first embodiment of the battery short-circuit detection device according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of a battery short-circuit detection device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the battery short circuit detection apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the battery short circuit detection device, and may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a battery short detection program may be included in the memory 1005 as one type of storage medium.
In the battery short detection apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the battery short-circuit detection device of the present invention may be disposed in the battery short-circuit detection device, where the battery short-circuit detection device invokes a battery short-circuit detection program stored in the memory 1005 through the processor 1001, and executes the battery short-circuit detection method provided by the embodiment of the present invention.
An embodiment of the invention provides a battery short circuit detection method, referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a battery short circuit detection method according to the invention.
In this embodiment, the battery short circuit detection method includes the following steps:
Step S10: and acquiring a thermal infrared image of the surface of the battery, and acquiring a temperature value of the surface of the battery according to the thermal infrared image.
It should be noted that, the execution body of the embodiment is a battery short-circuit detection device, where the battery short-circuit detection device has functions of data processing, data communication, program running, etc., and the battery short-circuit detection device may be an integrated controller, a control computer, etc., or may be other devices with similar functions, which is not limited in this embodiment.
It can be understood that in the existing detection method for the battery, whether the voltage or the current is abnormal or not is judged by monitoring the voltage or the current of the battery, and the detection method for the short circuit of the battery can only detect whether the single battery is short-circuited or not, if in the combined battery, the specific position of the short circuit of the battery cannot be judged rapidly and accurately if the short circuit condition occurs in the battery.
It should be understood that the thermal infrared image can reflect the temperature distribution of the object and distinguish different temperatures, so that the heating condition of the battery can be obtained through the thermal infrared image, and the thermal infrared image can accurately reflect the actual temperature condition of the battery by distinguishing the temperatures with different colors.
It should be noted that, the thermal infrared image is a thermal infrared image formed by infrared rays of which the surface temperature is obtained through a thermal infrared imaging module provided in the battery short-circuit detection device, when the battery radiates infrared rays outwards, as infrared rays with different wavelengths are radiated outwards due to different temperatures, according to the planck formula, when the shorter the wavelength is, the larger the contained energy is, the larger the corresponding temperature is indicated, so that the temperature of the battery can be obtained according to the corresponding relation between the wavelength and the temperature.
In a specific implementation, since the voltage provided by the battery is basically all applied to the internal resistance of the battery when the battery is short-circuited, the internal resistance of the battery is usually small, as known from joule's law, when the battery is short-circuited, the battery generates a large amount of heat in a short-circuited area, and heat transfer exists between objects at any time, therefore, when the battery is short-circuited inside, the surface of the battery also has corresponding temperature change, on a two-dimensional plane, the temperature corresponding to the short-circuited area can present a local high temperature, therefore, when the surface of the battery radiates infrared rays outwards, the wavelength of the infrared rays radiated by the surface temperature is different, therefore, when the battery short-circuit detection device acquires infrared rays with different wavelengths, a corresponding thermal infrared image can be generated according to the wavelength of the infrared rays, when the thermal infrared image is drawn, different expression forms can be given according to different temperatures, for example, the color can be gradually changed from cold color to warm color according to low temperature, such as blue, and the high temperature can be red, or the high temperature can be described in infrared wavelength. And determining the surface temperature value of the battery according to the temperature distribution of the thermal infrared image or the infrared wavelength distribution.
Step S20: and carrying out temperature compensation on the battery surface temperature value according to the temperature detection distance of the infrared rays to obtain an actual temperature value of the battery.
It should be noted that, the surface temperature value is obtained according to the thermal infrared image, and since the result of measuring the temperature according to the infrared ray is easily changed by the external environment, the temperature measurement result is error, so that there is a certain error between the surface temperature value and the actual temperature value of the battery surface, the actual temperature value refers to the actual temperature value of the battery surface, and the actual temperature value can reflect the actual temperature condition of the battery surface.
In a specific implementation, because a certain distance exists between the thermal infrared imaging module and the surface of the battery, when infrared rays propagate in the atmosphere, radiation power attenuation is caused by absorption and scattering of various components in the atmosphere, meanwhile, because the continuous change of the ambient temperature causes corresponding errors in acquisition of the surface temperature value of the battery, an error value exists between the surface temperature value and the actual temperature value of the battery, corresponding temperature compensation needs to be carried out on the basis of the surface temperature value of the battery, when the temperature compensation is carried out, a corresponding temperature compensation value under the current detection working condition can be determined according to the current temperature measurement distance and the current ambient temperature by a temperature compensation table, and the actual temperature value of the battery is obtained by adding the temperature compensation value and the surface temperature value of the battery.
Step S30: and when the actual temperature value is abnormal, obtaining a highest temperature value set according to the temperature change trend corresponding to the actual temperature value.
The temperature change trend refers to the distribution condition of real-time temperature, the distribution condition of the current real-time temperature value of the battery can be determined through the temperature change trend, and when the temperature change trend is larger, the temperature change of the current position is larger, and the temperature is relatively higher; if the trend of the temperature change is smaller, the temperature change of the current position is smaller, and the temperature is relatively lower, wherein the relatively higher temperature and the relatively lower temperature are relative to the temperature around the current position. The maximum temperature set at least comprises one maximum temperature value, wherein the maximum temperature value refers to the maximum temperature obtained according to the temperature change trend, for example, two positions with obvious temperature change trend exist at two different positions in the current thermal infrared image, at the moment, the maximum temperature of the current position can be determined according to the temperature change trend of the two positions respectively, so that two different maximum temperature values are obtained, and the different maximum temperature values can be combined to obtain the maximum temperature value set.
In a specific implementation, after the real-time temperature value of the battery is obtained, the real-time temperature value of the battery needs to be detected, whether the current real-time temperature value is normal or not is judged, when judging, the real-time temperature value can be compared with the temperature threshold according to the highest temperature which the battery can reach in the normal charge and discharge process of the battery, if the real-time temperature value exceeds the temperature threshold, the real-time temperature value can be determined to be abnormal, at this time, the temperature change trend corresponding to the real-time temperature value can be obtained according to the real-time temperature value, the highest temperature value of the position with the highest temperature is determined according to the temperature change trend, the same operation mode is adopted for determining the highest temperature value for the abnormal value of the real-time temperature value, when the highest temperature value is obtained, the highest temperature value can be added into a highest temperature value set, and when a new highest temperature value is obtained, the new highest temperature value needs to be updated into the highest temperature value set.
Step S40: and inputting the highest temperature value set into a battery short circuit detection model to obtain the battery short circuit probability.
It should be noted that the battery short-circuit detection model is used for analyzing according to the highest temperature in the current highest temperature value set, and determining the short-circuit probability of the current battery according to the highest temperature value, where the battery short-circuit model needs to be trained correspondingly before practical application, so that the short-circuit probability determined by the battery short-circuit detection model is more accurate.
In a specific implementation, the highest temperatures in the set of highest temperature values may be respectively used as input values of a battery short-circuit detection model, so that the battery short-circuit detection model may perform short-circuit detection analysis according to the received highest temperatures, determine the current highest temperature to determine the short-circuit probability at the temperature, and when a plurality of highest temperature values exist in one set of highest temperature values, respectively detect and analyze the plurality of highest temperature values to determine the short-circuit probability corresponding to each highest temperature value.
Step S50: and when the battery short circuit probability is higher than a preset reminding threshold value, sending out circuit short circuit reminding information.
It should be noted that, the preset reminding threshold refers to a probability value for judging whether to remind, where the preset reminding threshold can be set according to actual situations, and the embodiment is not limited to this.
In a specific implementation, after the battery short circuit detection model is calculated according to the highest temperature value, the battery short circuit probability can be compared with the preset reminding threshold, when the battery short circuit probability is greater than or equal to the preset reminding threshold, the battery short circuit electrical measurement device can send out battery short circuit reminding information for reminding that the current battery has short circuit risk, and reminding related personnel to carry out corresponding processing strategies, for example, the preset reminding threshold is set to 20%, the current battery short circuit probability is 40%, then the battery short circuit detection device can carry out battery short circuit reminding, and if a plurality of short circuits exist for the same battery, namely, a plurality of battery short circuit probabilities exist for the same battery, then the reminding information for the battery is reminded according to one with the highest battery short circuit probability.
According to the embodiment, the battery surface temperature value is obtained according to the thermal infrared image, the temperature compensation is carried out on the battery surface temperature value according to the temperature detection distance of infrared rays, the actual temperature value of the battery is obtained, when the actual temperature value is abnormal, the maximum temperature value set is obtained according to the temperature change trend corresponding to the actual temperature value, the maximum temperature value set is input into a battery short circuit detection model, the battery short circuit probability is obtained, and when the battery short circuit probability is higher than a preset reminding threshold value, circuit short circuit reminding information is sent out. Through the infrared temperature measurement to the battery surface, can obtain the temperature on battery surface, through the detection to battery surface temperature, judge whether the battery has the condition of local high temperature, and then confirm whether the battery takes place the short circuit, can carry out short circuit detection to a plurality of batteries when the battery stores.
Referring to fig. 3, fig. 3 is a flowchart illustrating a battery short circuit detection method according to a second embodiment of the present invention.
Based on the above first embodiment, the method for detecting a battery short circuit in this embodiment further includes, at step S10:
step S101: pixel values of the thermal infrared image are extracted.
Step S102: and extracting the color parameters of the pixel values.
Step S103: and obtaining a temperature value corresponding to the color parameter according to the corresponding relation between the color parameter and the color temperature, and taking the temperature value as a battery surface temperature value.
It should be noted that different temperature values can be distinguished by using different colors in the thermal infrared image, and according to a part of positions of the battery to be tested in all pixel values in the thermal infrared image, the color parameters include RGB attributes of the pixel values, and the RGB attributes can determine the color of one pixel value, namely, the temperature is determined by the color attribute of the pixel value.
In a specific implementation, when the battery short-circuit detection device acquires a thermal infrared image, pixel values in the thermal infrared image can be extracted together, and RGB attributes contained in the pixel values are extracted.
When the surface temperature of the battery is determined through the color parameters, the determination is required according to the color temperature corresponding relation, in the color temperature corresponding relation, a corresponding temperature can be locked according to specific RGB attributes, wherein the corresponding relation is obtained through multiple tests, and the accuracy in data can be ensured, so that when the color in the pixel value in the thermal infrared image is extracted, the temperature represented by the pixel value is obtained through searching the color temperature corresponding relation table, and the operation is repeated until each pixel value in the current thermal infrared image is traversed, and the current surface temperature value of the battery is obtained.
Further, in order to obtain a more accurate actual temperature value of the battery, the method further comprises the following steps:
acquiring a current environmental temperature value;
obtaining a compensation coefficient at the current ambient temperature according to the ambient temperature value, the temperature detection distance and the temperature compensation relation;
and carrying out temperature compensation on the surface temperature according to the compensation coefficient to obtain an actual temperature value of the battery.
It should be noted that, the ambient temperature value refers to an ambient temperature value around the battery at the time of short-circuit detection of the battery, where the temperature value may be obtained by a temperature detection module or may be obtained by a thermal infrared image, and the embodiment does not limit the manner of obtaining the ambient temperature value.
It should be understood that the compensation coefficient is used for compensation correction of the surface temperature value, the compensation coefficient being obtained from the ambient temperature value, the distance of the battery short-circuit detection device from the battery, and the temperature compensation relationship being obtained by measurement.
In the specific implementation, on one hand, the ambient temperature value around the battery is fixed, the distance between the battery short-circuit detection device and the battery is adjusted, the surface temperature value and the actual temperature value of the battery under different distances are obtained, on the other hand, the distance between the battery short-circuit detection device and the battery is fixed, the ambient temperature around the battery is adjusted, the surface temperature value and the actual temperature value of the battery under different ambient temperatures are obtained, the compensation coefficient under the current test condition is determined according to the surface temperature value and the actual temperature value, after a plurality of tests, a three-dimensional temperature compensation relation is obtained according to the test result, the temperature compensation relation is obtained according to the temperature compensation relation, the temperature of the battery short-circuit detection device and the battery short-circuit detection device is generally fixed at a certain position or in a region, the distance between the battery short-circuit detection device and the battery can be kept unchanged, namely, the unique fixed value of the temperature detection distance can be kept, when the battery short-circuit is detected, the battery short-circuit detection device can be freely moved, if the battery short-circuit detection device can obtain the battery short-circuit detection value, the temperature compensation relation can be obtained when the temperature of the battery short-circuit detection device is detected, the temperature compensation relation is obtained, the temperature compensation relation can be further obtained when the temperature of the battery short-circuit detection device is detected, the temperature is detected, the real-time distance is detected, the distance is detected, and the distance between the battery short-circuit detection device is detected, and the battery short-circuit detection distance is detected, and the distance is detected, and the distance is detected. The actual temperature value can be obtained by means of the surface temperature value + the compensation coefficient.
Further, in order to determine the set of maximum temperature values, the method further comprises the steps of:
moving a detection block on the thermal infrared image according to a preset step length and a preset path, and extracting an actual temperature value in the range of the detection block;
numbering the areas passed by the detection blocks to obtain the positions of the detection blocks;
judging the actual temperature value in the range of the detection block, and determining the temperature change trend;
determining adjacent detection blocks according to the current detection block positions, and combining the temperature change trends of the detection blocks to obtain local temperature change trends;
if the local temperature change trend is higher than a preset change threshold, obtaining a local highest temperature value according to the local temperature change trend;
and counting according to the local maximum temperature value to obtain a maximum temperature value set.
It should be noted that, the detection block is a detection range of a fixed size for detecting the thermal infrared image, the detection block can move on the thermal infrared image until the current thermal infrared image is detected, the step length refers to a distance of each movement of the detection block on the thermal infrared image, the preset step length is set before the detection of the battery short circuit, and the path describes a movement direction and a movement track of the detection block on the thermal infrared image, so that the movement of the detection block can be restrained.
It should be understood that the temperature change trend is used to describe a temperature change range within a detection block range, and may represent a maximum value and a minimum value of temperatures within a current detection block range, and may also determine a high temperature and low temperature distribution within the detection block range, and determine a position of the high Wen Dianwei.
In a specific implementation, referring to fig. 4, fig. 4 is a schematic detection diagram of the present embodiment, in fig. 4, each curve represents a temperature value, a region in the middle of two curves is the same temperature, if there are more curves representing temperatures in a detection block, the larger the trend of temperature change in the current block is represented, each square in the diagram represents a region that can be detected by the detection block, the detection block can move according to a preset path to detect the next block, a detection block with a fixed size can be set to move on a thermal infrared image, the detection block can detect the temperature of the thermal infrared image in the covered region, the temperature change condition in the detection range and the actual temperature value in the current block are obtained, and the trend of temperature change in the current detection range can be determined according to the temperature value and the temperature change condition, the trend of temperature change can be saved in an array form, the size of the detection block can be represented by simulating the temperature change diagram, and the embodiment can be flexibly set. When the detection is carried out, the detection block can be moved on the thermal infrared image according to the preset path and the preset step length, after the detection block completes detection of one area, the detection block can be moved to the next detection area according to the preset path and the preset step length, the steps are repeated until the detection of the whole thermal infrared image is completed and then stopped, when the detection block is detected, the detection block can be numbered after the detection of one block is completed, the numbering mode is not limited, the specific setting can be reasonably set according to the actual situation, the position of the detection block can be rapidly determined through the numbering, and the rapid positioning can be realized. When the detection of one block is completed, according to the actual temperature values in the detection block and the difference between the temperatures, the direction from high to low in the temperature in one block, the position of the block where the temperature is higher, the position where the temperature is lower, the speed of temperature drop and the highest value of the temperature in the current detection block can be obtained, and the temperature change trend can be formed by the information. When detecting the current detection area, the surrounding adjacent detection areas can be determined, the temperature change trends corresponding to the detection areas are obtained, the temperature change trends corresponding to the detection areas are combined to obtain local change trends, the local change trends are detected, if the local change trends are higher than a preset change threshold, that is to say, local high-temperature points exist in the current local change trends, local highest temperature values are obtained according to the local change trends, and as a plurality of local high-temperature points possibly exist in one local change area, the local highest temperature values possibly exist in a plurality of local change trends formed by the detection areas at the left upper corner 2X2 in FIG. 4, for example, the highest temperatures in the temperature change trends corresponding to four detection areas can be analyzed to be close to one direction, so that when determining the adjacent detection areas, the adjacent detection areas are determined to be searched according to the direction in which the highest temperatures are close to each other, and then the local high-temperature points are determined. For example, when 3 local high temperature points appear in a local detection area, namely 58.7 ℃,55 ℃,56.4 ℃, 3 corresponding maximum temperature values in the current local change trend are respectively 58.7 ℃,55 ℃,56.4 ℃, the local maximum temperature values can be counted at this time, and during counting, the temperature and the number of a detection block corresponding to the temperature need to be counted together to obtain a maximum temperature value set.
Further, after determining the local maximum temperature value, the method further comprises the following steps:
according to the relative position of the current detection block in the thermal infrared image;
and determining the position coordinates of the temperature anomaly area according to the relative positions.
It should be noted that, since the detection block detects a part of the thermal infrared image, the position detected by the detection block at this time and the position in the thermal infrared image need to be determined, the obtained position is the relative position, the abnormal region is the local high Wen Dianwei occurring during the temperature detection, and the position coordinates are the local high temperature point, that is, the position corresponding to the abnormal region in the thermal infrared image.
In a specific implementation, the detection block can completely detect the thermal infrared image, so when the detection is performed, the current detected position can be determined as the corresponding position in the thermal infrared image according to the position of the detection block, when the position is determined, the actual position on the battery can be determined according to the pixel value covered by the detection block and the pixel value of the thermal infrared image, on the thermal infrared image, any point in the thermal infrared image can be used as the origin of coordinates, a plane rectangular coordinate system is established by taking two sides parallel or perpendicular to the thermal infrared image as axes, the position of any pixel value in the thermal infrared image can be determined according to the plane rectangular coordinate system, the covered pixel value can be determined according to the detection block, the position of the corresponding thermal infrared image can be determined according to the pixel value, when the detection block detects a local high-temperature abnormal region, the corresponding position coordinate can be determined according to the pixel value of the abnormal region, and as the coordinate value can exist in any coordinate, the abnormal region can be selected as the preferred region.
Further, in order to obtain the probability of battery short circuit, the method further comprises the following steps:
determining a smooth value according to the local variation trend and the position coordinates;
processing the local change trend according to the smooth value to obtain a processed local change trend;
obtaining a correlation coefficient between the local highest temperature value and the position coordinate according to the processed local variation trend;
carrying out feature extraction on the local highest temperature value and the position coordinates according to the processed local change trend of the correlation coefficient to obtain a feature value;
taking the characteristic value as input of the battery short circuit detection model to carry out short circuit prediction to obtain a prediction result;
and carrying out probability correction on the prediction result according to a preset correction strategy to obtain the probability of battery short circuit.
It should be noted that, the smooth value refers to a quantity for describing a correlation between a local variation trend and a position coordinate obtained when the local variation trend and the position coordinate are subjected to a processing, specifically, the smooth value is determined according to the local variation trend and the position coordinate, and the preset correction strategy is a manually set correction method for correcting the prediction result, so that the short-circuit probability of the battery is accurately described.
In a specific implementation, the smoothing value may be determined according to the local variation trend and the position coordinates, the smoothing value may be obtained according to the local variation trend corresponding to the position coordinates, if the current position coordinates are edge coordinates, the edge of the battery may be initialized to avoid occurrence of smoothing failure, the temperature of the edge may be initialized to be an ambient temperature for approaching to the real environment during initialization, when the smoothing process is performed, it is required to sort according to the coordinate positions, a plane is formed according to the coordinate positions, the corresponding local variation trend is used as another physical quantity to form a three-dimensional graph for representing the relationship between the coordinate positions and the local variation trend, the smoothing process is performed on the local variation trend through the smoothing value, and the processed local variation trend is obtained according to the following processing formula:
L t ＝αY t +(1+α)[L t-1 +T t-1 ]
wherein L is t Is the level at coordinate T, alpha is the weight of the level, T t Is the trend at coordinate t, Y is
After the processed local variation trend is obtained, calculating a correlation coefficient D between the local maximum temperature value and the position coordinate according to the processed local variation trend s When extracting the characteristic value, the characteristic value D can be obtained after the characteristic value is extracted by adjusting according to the change of the coordinate position i And processing the correlation coefficient as follows:
D i ＝1-D s
the characteristic value is input into a battery short circuit detection model for short circuit detection, wherein the battery short circuit detection model can be formed by 2 parallel Bi-GRUs with one dimension, the quantity of the parallel Bi-GRUs is flexibly arranged according to actual conditions, and the embodiment does not limit the arrangementDuring short-circuit detection, n input values can be input into a battery short-circuit detection model, n output results are obtained through a hidden neural unit and a deep learning layer, and during convolution, convolution calculation can be performed according to the input coordinate sequence to obtain local characteristic information, and the extracted matrix is H epsilon R k*n Wherein k is the number of coordinate sequences, n is the number of input local variation trends, the adopted activation function is LeakyRelus, after training is carried out by a Bi-GRU model, the current prediction result can be judged through multi-channel optimization, whether an abnormality exists or not is determined, and when the abnormality exists, the prediction result can be corrected according to the prediction result to obtain the prediction result. After the battery short circuit detection model obtains the prediction result, the battery short circuit detection model can also be corrected according to the position of the current temperature abnormal region, and the probability of the battery short circuit position can be compared with the current abnormal position due to the fact that different heating conditions at different positions possibly exist, and the current short circuit probability is corrected appropriately according to different positions, so that the final battery short circuit probability is obtained.
Further, in order to more accurately carry out the short-circuit reminding, the method further comprises the following steps:
when the battery short circuit probability is higher than a preset reminding threshold value, acquiring the number information of the current battery;
generating battery short-circuit reminding information according to the battery short-circuit probability and the serial number information;
and sending the battery short-circuit reminding information to reminding equipment for reminding the battery short-circuit.
It should be noted that the number information refers to number information of the battery to be tested, which is used for identifying the battery and can be used for determining the position of the battery. The reminding information can comprise various forms, and specifically can comprise: the form such as characters, pronunciation, alarm, warning light, remote reminding, etc. this embodiment does not limit the warning information.
In a specific implementation, when the battery short-circuit probability is obtained, the current battery short-circuit probability can be compared with a preset reminding threshold, if the current battery short-circuit probability is not higher than the preset reminding threshold, early warning can not be performed, but as compensation, key detection can be performed on the current position, namely a period of time can be continued, the temperature change condition is observed, if the position temperature is gradually abnormal and the corresponding battery short-circuit probability is increased to the preset reminding threshold, battery short-circuit reminding is performed, if the current battery short-circuit probability is higher than the preset reminding threshold, the total number of the current detected battery is judged, if short-circuit detection is performed on only one battery, the battery short-circuit probability of the current battery is directly generated, the battery short-circuit reminding information can comprise short-circuit probability and the like, if battery short-circuit detection is performed on a plurality of batteries at the same time, the number information of the battery corresponding to the current battery short-circuit probability can be obtained, and battery short-circuit reminding information can be generated according to the number information, wherein the current acquisition position and the preset position number map can be compared and determined, or identifiable number information can be added beside the battery, and specific information can not be generated according to the specific implementation of the actual short-circuit reminding condition that the battery number information is not limited: the number information of the short-circuit battery, the probability of the short-circuit of the battery and the like, and meanwhile, when the short-circuit reminding is carried out, a grading reminding mode can be adopted according to the difference of the short-circuit probabilities, namely, the emergency degree is embodied in a reminding mode, after the short-circuit reminding information of the battery is generated, the short-circuit reminding information of the battery can be sent to a display screen, an alarm bell, a voice player and remote receiving equipment such as a mobile phone, a computer and the like, and the embodiment is not limited to the short-circuit reminding mode, wherein the reminding mode can be composed of one or more kinds of components, so that related personnel can be conveniently reminded of emergency treatment and danger avoidance.
According to the embodiment, the pixel values of the thermal infrared image are extracted to obtain color data of the pixel values, the pixel values of the thermal infrared image are analyzed through the detection block to obtain actual temperature values represented by each pixel value, the temperature change trend and the position of the highest temperature in the detection block are obtained according to the actual temperature values in the detection block, when the temperature change trend in the current block is large, the temperature change trends of the adjacent detection blocks can be obtained and combined, the actual local high-temperature areas and the highest temperatures are determined, the positions of the abnormal areas or the obtained positions and the corresponding highest temperatures are input into a battery short-circuit detection model, the probability of battery short-circuit occurrence at each position is obtained, the probability of battery short-circuit is obtained by properly correcting according to the actual conditions of the battery, when the probability of battery short-circuit reaches a certain value, early warning can be carried out in various modes, the areas can be detected in a focused mode when the short-circuit risk is not reached, the safety of battery detection is guaranteed, the safety of the battery is also guaranteed, the method described in the embodiment is not only suitable for short-circuit detection of a single battery, but also can be used for simplifying the detection of multiple batteries, and guaranteeing the safety of the detection process of the battery.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores a battery short-circuit detection program, and the battery short-circuit detection program realizes the steps of the battery short-circuit detection method when being executed by a processor.
Referring to fig. 4, fig. 4 is a block diagram showing the structure of a first embodiment of the battery short circuit detecting device according to the present invention.
As shown in fig. 4, a battery short circuit detection device according to an embodiment of the present invention includes:
the temperature acquisition module 10 is used for acquiring a thermal infrared image of the surface of the battery and acquiring a temperature value of the surface of the battery according to the thermal infrared image;
the temperature compensation module 20 is configured to perform temperature compensation on the battery surface temperature value according to the temperature detection distance of the infrared ray, so as to obtain an actual temperature value of the battery;
the temperature detection module 30 is configured to obtain a set of maximum temperature values according to a temperature variation trend corresponding to the actual temperature value when the actual temperature value is abnormal;
the short circuit detection module 40 is configured to input the set of maximum temperature values into a battery short circuit detection model, so as to obtain a battery short circuit probability;
the short circuit reminding module 50 is configured to send out a circuit short circuit reminding message when the battery short circuit probability is higher than a preset reminding threshold.
According to the embodiment, the battery surface temperature value is obtained according to the thermal infrared image, the temperature compensation is carried out on the battery surface temperature value according to the temperature detection distance of infrared rays, the actual temperature value of the battery is obtained, when the actual temperature value is abnormal, the maximum temperature value set is obtained according to the temperature change trend corresponding to the actual temperature value, the maximum temperature value set is input into a battery short circuit detection model, the battery short circuit probability is obtained, and when the battery short circuit probability is higher than a preset reminding threshold value, circuit short circuit reminding information is sent out. Through the infrared temperature measurement to the battery surface, can obtain the temperature on battery surface, through the detection to battery surface temperature, judge whether the battery has the condition of local high temperature, and then confirm whether the battery takes place the short circuit, can carry out short circuit detection to a plurality of batteries when the battery stores.
In an embodiment, the temperature acquisition module 10 is further configured to extract pixel values of the thermal infrared image; extracting color parameters of the pixel values; and obtaining a temperature value corresponding to the color parameter according to the corresponding relation between the color parameter and the color temperature, and taking the temperature value as a battery surface temperature value.
In one embodiment, the temperature compensation module 20 is further configured to obtain a current ambient temperature value; obtaining a compensation coefficient at the current ambient temperature according to the ambient temperature value, the temperature detection distance and the temperature compensation relation; and carrying out temperature compensation on the surface temperature according to the compensation coefficient to obtain an actual temperature value of the battery.
In an embodiment, the temperature detection module 30 is further configured to move a detection block on the thermal infrared image with a preset step size and a preset path, and extract an actual temperature value within the detection block range; numbering the areas passed by the detection blocks to obtain the positions of the detection blocks; judging the actual temperature value in the range of the detection block, and determining the temperature change trend; determining adjacent detection blocks according to the current detection block positions, and combining the temperature change trends of the detection blocks to obtain local temperature change trends; if the local temperature change trend is higher than a preset change threshold, obtaining a local highest temperature value according to the local temperature change trend; and counting according to the local maximum temperature value to obtain a maximum temperature value set.
In an embodiment, the temperature detection module 30 is further configured to determine a relative position of the current detection block in the thermal infrared image; and determining the position coordinates of the temperature anomaly area according to the relative positions.
In an embodiment, the short circuit detection module 40 is further configured to determine a smoothed value according to the local variation trend and the position coordinate; processing the local change trend according to the smooth value to obtain a processed local change trend; obtaining a correlation coefficient between the local highest temperature value and the position coordinate according to the processed local variation trend; carrying out feature extraction on the local highest temperature value and the position coordinates according to the processed local change trend of the correlation coefficient to obtain a feature value; taking the characteristic value as input of the battery short circuit detection model to carry out short circuit prediction to obtain a prediction result; and carrying out probability correction on the prediction result according to a preset correction strategy to obtain the probability of the battery circuit.
In an embodiment, the short-circuit reminding module 50 is further configured to obtain the number information of the current battery when the short-circuit probability of the battery is higher than a preset reminding threshold; generating battery short-circuit reminding information according to the battery short-circuit probability and the serial number information; and sending the battery short-circuit reminding information to reminding equipment for reminding the battery short-circuit.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the invention as desired, and the invention is not limited thereto.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory)/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A battery short-circuit detection method, characterized in that the battery short-circuit detection method comprises:
acquiring a thermal infrared image of the surface of the battery, and acquiring a temperature value of the surface of the battery according to the thermal infrared image;
performing temperature compensation on the battery surface temperature value according to the temperature detection distance of the infrared rays to obtain an actual temperature value of the battery;
when the actual temperature value is abnormal, obtaining a highest temperature value set according to a temperature change trend corresponding to the actual temperature value;
inputting the highest temperature value set into a battery short circuit detection model to obtain battery short circuit probability;
and when the battery short circuit probability is higher than a preset reminding threshold value, sending out circuit short circuit reminding information.
2. The method of claim 1, wherein said obtaining a battery surface temperature value from said thermal infrared image comprises:
extracting pixel values of the thermal infrared image;
extracting color parameters of the pixel values;
and obtaining a temperature value corresponding to the color parameter according to the corresponding relation between the color parameter and the color temperature, and taking the temperature value as a battery surface temperature value.
3. The method of claim 1, wherein the performing temperature compensation on the battery surface temperature value according to the temperature detection distance of the infrared ray to obtain an actual temperature value of the battery comprises:
Acquiring a current environmental temperature value;
obtaining a compensation coefficient at the current ambient temperature according to the ambient temperature value, the temperature detection distance and the temperature compensation relation;
and carrying out temperature compensation on the surface temperature according to the compensation coefficient to obtain an actual temperature value of the battery.
4. The method of claim 1, wherein when the actual temperature value is abnormal, obtaining the set of maximum temperature values according to a temperature change trend corresponding to the actual temperature value, includes:
moving a detection block on the thermal infrared image according to a preset step length and a preset path, and extracting an actual temperature value in the range of the detection block;
numbering the areas passed by the detection blocks to obtain the positions of the detection blocks;
judging the actual temperature value in the range of the detection block, and determining the temperature change trend;
determining adjacent detection blocks according to the current detection block positions, and combining the temperature change trends of the detection blocks to obtain local temperature change trends;
if the local temperature change trend is higher than a preset change threshold, obtaining a local highest temperature value according to the local temperature change trend;
And counting according to the local maximum temperature value to obtain a maximum temperature value set.
5. The method of claim 4, wherein if the local temperature variation trend is higher than a preset variation threshold, after obtaining the local maximum temperature value according to the local temperature variation trend, further comprising:
according to the relative position of the current detection block in the thermal infrared image;
and determining the position coordinates of the temperature anomaly area according to the relative positions.
6. The method of claim 5, wherein said inputting the set of maximum temperature values into a battery short circuit detection model results in a battery short circuit probability, comprising:
determining a smooth value according to the local variation trend and the position coordinates;
processing the local change trend according to the smooth value to obtain a processed local change trend;
obtaining a correlation coefficient between the local highest temperature value and the position coordinate according to the processed local variation trend;
carrying out feature extraction on the local highest temperature value and the position coordinates according to the processed local change trend of the correlation coefficient to obtain a feature value;
Taking the characteristic value as input of the battery short circuit detection model to carry out short circuit prediction to obtain a prediction result;
and carrying out probability correction on the prediction result according to a preset correction strategy to obtain the probability of the battery circuit.
7. The method according to any one of claims 1 to 6, wherein when the battery short-circuit probability is higher than a preset reminding threshold value, sending out a short-circuit reminding message, including:
when the battery short circuit probability is higher than a preset reminding threshold value, acquiring the number information of the current battery;
generating battery short-circuit reminding information according to the battery short-circuit probability and the serial number information;
and sending the battery short-circuit reminding information to reminding equipment for reminding the battery short-circuit.
8. A battery short-circuit detection device, characterized in that the battery short-circuit detection device comprises:
the temperature acquisition module is used for acquiring a thermal infrared image of the surface of the battery and acquiring a temperature value of the surface of the battery according to the thermal infrared image;
the temperature compensation module is used for carrying out temperature compensation on the battery surface temperature value according to the temperature detection distance of the infrared rays to obtain an actual temperature value of the battery;
the temperature detection module is used for obtaining a highest temperature value set according to the temperature change trend corresponding to the actual temperature value when the actual temperature value is abnormal;
The short circuit detection module is used for inputting the highest temperature value set into a battery short circuit detection model to obtain battery short circuit probability;
and the short circuit reminding module is used for sending out circuit short circuit reminding information when the battery short circuit probability is higher than a preset reminding threshold value.
9. A battery short circuit detection apparatus, characterized in that the apparatus comprises: a memory, a processor and a battery short detection program stored on the memory and executable on the processor, the battery short detection program configured to implement the steps of the battery short detection method of any one of claims 1 to 7.
10. A storage medium having stored thereon a battery short detection program which, when executed by a processor, implements the steps of the battery short detection method according to any one of claims 1 to 7.
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| CN116736184A (en) * | 2023-08-15 | 2023-09-12 | 韵量燃料电池(广东)有限公司 | Method and device for detecting short circuit of single cell of electric pile |
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| CN116736184A (en) * | 2023-08-15 | 2023-09-12 | 韵量燃料电池(广东)有限公司 | Method and device for detecting short circuit of single cell of electric pile |
| CN116736184B (en) * | 2023-08-15 | 2023-11-03 | 韵量燃料电池(广东)有限公司 | Method and device for detecting short circuit of single cell of electric pile |
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