A high-precision battery cell positioning method and device

Abstract

The application relates to a high-precision battery cell positioning method and device, and belongs to the technical field of semiconductor integrated circuits, in particular to a high-precision battery cell positioning method, steps of which are as follows: a master node sends instructions to at least two slave nodes through wireless radio frequency communication, the instructions including slave node identity ID and equalization parameters, a target slave node battery cell matches the slave node identity ID and starts corresponding equalization circuit work, heat generated when the equalization circuit works forms a active heat source, the active heat source emits outward in the form of infrared rays; an infrared camera captures infrared rays emitted by the active heat source to generate infrared images and videos, and identifies the infrared point heat source according to the generated infrared images and videos; a contrast enhancement algorithm is used to process the infrared point heat source to extract the accurate position of the active heat source, and the target slave node is found out through equalization parameter analysis at the accurate position of the active heat source, so that the physical position of the corresponding battery cell monomer is determined.

Description

Technical Field

[0001] This invention relates to a high-precision battery cell positioning method and apparatus, belonging to the field of semiconductor integrated circuit technology. Background Technology

[0002] With technological advancements, each battery cell will have its own independent Battery Management System (BMS), and BMS will increasingly be networked wirelessly, i.e., Wireless BMS (wBMS), to get rid of the cumbersome, heavy, and unreliable wiring of traditional wired communication.

[0003] Without the wiring harness, the physical locations of the battery cells are no longer arranged in a sequential manner, making it impossible to find the physical location of the corresponding battery cell by "following the clues"—and the physical location of the battery cell is crucial, for example, it is necessary to locate the battery cell for testing and replacement during production line quality inspection.

[0004] The traditional solution involves attaching a QR code to the outer surface of each battery cell and mapping each QR code to a number in the Battery Management System (BMS) (usually a binary code in a semiconductor memory). Each time a specific cell with a particular number needs to be located, all the QR codes on the outer surfaces of all cells must be scanned until a matching cell is found. While it's possible to manually arrange the cells sequentially during initial production to match their physical location with their numbers in the BMS, once the battery pack has been disassembled and rearranged (e.g., after being returned for repair), the QR codes on the outer surfaces must be scanned again. This not only leads to inefficiency but also wastes valuable production line time. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to provide a high-precision battery cell positioning method and device. By combining "wireless BMS (wBMS) + active heating infrared imaging", it is possible to quickly locate the position of a specified battery cell from a large number of disordered stacked batteries, saving battery manufacturers a lot of valuable time and costs.

[0006] To address the aforementioned technical problems, this invention proposes a high-precision battery cell positioning method, comprising the following steps: S1. The master node sends instructions to at least two slave nodes via wireless radio frequency communication. The instructions include the slave node's identity ID and equalization parameters. After the target slave node's cell matches the slave node's identity ID, the corresponding equalization circuit is activated. The heat emitted by the equalization circuit during operation forms an active heat source, which is emitted outward in the form of infrared light. S2. By adjusting the equalization parameters in step S1, the infrared light emitted by the active heat source is modulated. An infrared camera captures the infrared light emitted by the active heat source and generates infrared images and videos. Based on the generated infrared images and videos, the infrared point heat source formed by the active heat source emitting infrared light outward is identified. S3. The infrared point heat source in step S2 is processed using a contrast enhancement algorithm to extract the accurate location of the active heat source. At the accurate location of the active heat source, the target slave node is found through equalization parameter analysis, thereby determining the physical location of the corresponding cell. Infrared rays generated by the heat source emitted by the node cell are used to generate infrared images and videos based on the infrared rays captured by the infrared camera. The generated infrared images and videos are analyzed and processed to find the corresponding target node, and the physical location of the corresponding cell is determined based on the target node.

[0007] Preferably, in step S3, the equalization parameters include amplitude, frequency, and duty cycle. When the target slave node is identified at the accurate location of the active heat source through equalization parameter analysis, the steps are as follows: a. Finding the amplitude using the amplitude finding method: First, assume the amplitude takes discrete values ​​A1>A2>...A... n Find the point with the largest infrared radiation amplitude, match it with the command to find A1, and determine if the target slave node has been found. If so, stop searching; otherwise, continue searching for the point with the second largest infrared radiation amplitude, match it with the command to find A2, and determine if the target slave node has been found. This process continues until the amplitude difference (A) is reached. n -A n-1 a) If the amplitude difference is less than the thermal sensitivity of the infrared camera, stop the amplitude search; b) If the amplitude search method in a fails to find the target node, continue searching at each node in a where the amplitude difference is less than the thermal sensitivity of the infrared camera using the equalization frequency method: use the maximum amplitude A 1’ To achieve equilibrium, A 1’For values ​​equal to A1 but with different corresponding equalization frequencies, the target slave node is found by analyzing the duration of heat enhancement / decrease at the equalization frequency in the video. The average heat intensity is proportional to the equalization frequency. If a target slave node is found, the search stops; if not, the search continues to find the point with the second largest equalization frequency, which is then matched with the command to find A2. This process is repeated until a target slave node is found or the difference in average heat intensity is less than the infrared camera's thermal sensitivity. At this point, the equalization frequency method stops. c. If the equalization frequency method in b fails to find the target slave node, the search continues using the equalization duty cycle method: again using amplitude A... 1’’ Equalize with the lowest equalization frequency, A 1’’ For values ​​equal to A1 but with different corresponding duty cycles, different duty cycles are used to analyze the length of the balancing and unbalancing times to determine if the target slave node has been found. If so, the search stops; otherwise, the search continues to find the point with the second largest balancing duty cycle, which is then matched with the command to find A2. The process is repeated until the target slave node is found or the intensity difference is less than the thermal sensitivity of the infrared camera, at which point the balancing frequency method stops. If the target slave node is not found in step c using the balancing frequency method, the process returns to step a and repeats steps ac until the target slave node is found. By using balancing parameters to analyze and find the target slave node, the physical location of the corresponding battery cell is determined.

[0008] Preferably, in step S1, each slave node is a wireless battery management chip on a single battery cell, and each slave node and the master node battery form a star-shaped topology. The master node and each slave node are connected in a star topology, connecting all slave nodes to the master node, thus enabling rapid location of each slave node.

[0009] Preferably, in step S2, before the infrared light emitted by the active heat source is captured by the infrared camera, an image of the battery pack is captured using the visible wave image sensor in the infrared camera. An edge extraction algorithm is used to identify the overall edge contour of the battery pack, and a scale coordinate system is established based on the known physical dimensions of the battery pack for calibrating the position of the active heat source. Establishing a scale coordinate system based on the known physical dimensions of the battery pack helps to calibrate the position of the active heat source according to the known dimensions, thereby facilitating the rapid location of the target slave node.

[0010] Preferably, in step S1, the master node supports simultaneously issuing commands of different encoded physical quantities to multiple slave nodes, allowing each slave node to respond simultaneously with infrared signals for rapid location of the target slave node. The commands can also be physical quantity commands with different encodings.

[0011] Preferably, in step S2, if an abnormal heat source not corresponding to the command appears in the infrared image, it is determined that the battery at that location is faulty and operation is stopped for repair. When an abnormal heat source other than the command appears, it can be determined that the battery is faulty, and operation is stopped while the fault point is repaired.

[0012] On the other hand, this invention also proposes a high-precision battery cell positioning device, comprising: a master node for sending instructions to slave nodes via wireless radio frequency communication; each slave node, configured to respond to the master node's instructions and activate the equalization circuit, and a BMS (Battery Management System) located within the battery cell; an infrared camera for capturing infrared radiation emitted by an active heat source to generate infrared images and videos, the active heat source being the heat generated during the operation of the equalization circuit; and an image processing module for identifying infrared point heat sources from the generated infrared images, calculating the location of the active heat source, and analyzing the target slave node to determine the physical location of the corresponding battery cell. Utilizing the infrared radiation generated by the heat source emitted by the slave node's battery cell, the infrared camera captures the infrared radiation generated by the heat source emitted by the slave node's battery cell, generating infrared images and videos. The image processing module analyzes and processes the generated infrared images and videos to find the corresponding target slave node, and determines the physical location of the corresponding battery cell based on the target slave node.

[0013] Preferably, each slave node is a wireless battery management chip on a single battery cell, and each slave node and the master node battery form a star-shaped topology. The master node and each slave node are connected in a star topology, connecting all slave nodes to the master node, enabling rapid location of each slave node.

[0014] Preferably, the master node supports issuing commands of different encoded physical quantities to multiple slave nodes simultaneously, allowing each slave node to respond simultaneously with infrared signals for rapid location of the target slave node. The commands can also be physical quantity commands with different encodings.

[0015] Preferably, the image processing module also includes thermal fault diagnosis, used to identify abnormal heat sources in the infrared image that do not correspond to the command, and to determine whether the battery is faulty. When an abnormal heat source other than the command appears, it can be determined that the battery is faulty, and operation can be stopped while the fault point is repaired.

[0016] The beneficial effects of this invention are as follows: This invention innovatively combines a wireless battery management chip with active thermal infrared (IR) imaging technology, enabling rapid location of a specific battery cell within a large number of disordered stacked cells. This solution possesses dual core value: during the initial installation phase at the factory, it facilitates precise physical location of individual cells; even after the battery pack has undergone repair and reassembly, or the cell arrangement has been altered, the target cell can still be easily located. This technological breakthrough effectively saves valuable time for battery manufacturers while significantly reducing operating costs. Attached Figure Description

[0017] The invention will now be further described with reference to the accompanying drawings.

[0018] Figure 1 This is a schematic diagram of the method flow of the present invention; Figure 2 This is a schematic diagram of the device implementation of the present invention; Figure 3 This is a schematic diagram of (a) modulation amplitude A; (b) modulation frequency (f); and (c) modulation duty cycle (D) of the present invention. Detailed Implementation Example 1

[0019] like Figure 1-2 As shown in the figure, this embodiment provides a high-precision battery cell positioning method, the steps of which are as follows: S1. The master node sends instructions to at least two slave nodes via wireless radio frequency communication. The instructions include the slave node identity ID and equalization parameters. After the target slave node cell matches the slave node identity ID, the corresponding equalization circuit is started. The heat generated when the equalization circuit is working forms an active heat source, which is emitted outward in the form of infrared rays.

[0020] The wireless communication chip in the BMS of a single battery cell is a slave node (wBMS Slave-1, Slave-2, ..., Slave-n), forming a star topology with the communication master node (wBMS Master). Each battery cell's BMS is equipped with an equalization discharge circuit. This is typically implemented by short-circuiting a resistor across the battery terminals to dissipate excess power, ensuring the consistency of the series battery system circuit and avoiding overcharging, over-discharging, or reduced battery life due to the weakest link effect. While radio frequency (RF) communication can transmit information, it cannot determine physical location. Furthermore, RF communication typically uses long wavelengths with diffraction characteristics to enhance directional communication. Even attempting to infer location by sensing the power of slave nodes through the master node is insufficient for millimeter-level positioning due to the highly unstable nature of RF power influenced by the environment. However, the heat generated by the equalization discharge circuit is emitted as infrared radiation. Since infrared radiation is invisible, it has excellent directionality, and the heat source can be conducted to the outside by the battery's metal casing (which is usually a good conductor of heat), allowing it to continue emitting infrared radiation without being shielded by the metal casing.

[0021] The master node (wBMS Master) uses radio frequency communication (RF) technology to send commands (RF cmd(A,f,D,Slave ID), i.e., radio frequency command (amplitude, frequency, duty cycle, slave ID)) to the slave nodes (wBMS Slave-1, wBMS Slave-2, ..., wBMS Slave-n). It sends the "slave ID + equalization parameters" that need to start the equalization circuit to the slave nodes in the form of wireless broadcast. The equalization parameter information includes amplitude (A), frequency (f), and duty cycle (D). After the target slave node and the corresponding slave ID are matched, the equalization circuit is started. The heat generated when the equalization circuit is working forms an active heat source (IR flicker(A,f,D), i.e., infrared flicker (amplitude, frequency, duty cycle)), which is emitted in the form of infrared light.

[0022] S2. By adjusting the equalization parameters, the infrared rays emitted by the active heat source are modulated. The infrared camera captures the infrared rays emitted by the active heat source and generates infrared images and videos. Based on the generated infrared images and videos, the infrared point heat source formed by the active heat source emitting infrared rays outward is identified.

[0023] By modulating the emitted infrared radiation using physical quantities such as amplitude (A), frequency (f), and duty cycle (D) of the modulation equalization parameters, an infrared camera (IR camera) captures the infrared radiation emitted by the active heat source and generates an infrared image (IR image) and video. Then, based on the generated infrared image and video, the active heat source is identified as an infrared point heat source formed by emitting infrared radiation outward. The characteristics of the infrared point heat source include amplitude, frequency, and duty cycle.

[0024] Alternatively, before the infrared camera captures the infrared light emitted by the active heat source to generate infrared images and videos, an image of the battery pack can be captured using the visible wave band image sensor in the infrared camera. Then, an edge extraction algorithm, such as a convolution-based edge extraction algorithm (a known existing technology), can be used to identify the overall edge contour of the battery pack. When the battery manufacturer produces the battery, the physical dimensions of the battery pack are known. Using the known physical dimensions of the battery pack, a scaled coordinate system can be established. For example, if a 1000-pixel * 1000-pixel square is captured, the lower left vertex of the square can be used as the origin of the coordinate system, and the horizontal and vertical sides of the square can be used as the x-axis and y-axis of the coordinate system (Slave position (x, y)). One pixel represents 1 mm. This can be correlated with a battery pack with a known size of 1m * 1m, thus forming a scaled coordinate system used to calibrate the position of the active heat source. Similarly, the position of the infrared camera can be rotated, and measurements can be taken in the y-axis and z-axis planes and the z-axis and x-axis planes with the depth of field as the z-axis to obtain the three-dimensional spatial coordinate system of the battery pack (Slaveposition(x, y, z)).

[0025] S3. The infrared point heat source is processed using a contrast enhancement algorithm to extract the accurate location of the active heat source. The target slave node is found by equalization parameter analysis at the accurate location of the active heat source, thereby determining the physical location of the corresponding battery cell.

[0026] A contrast enhancement algorithm is used to process infrared point heat sources. By adjusting the color distribution of the infrared point heat sources, the difference between bright and dark areas is expanded, thereby improving the visibility of image details and making them clearer. This allows for the accurate extraction of the location of the active heat source. At the accurate location of the active heat source, the target slave node is found through equalization parameter analysis. The equalization reference includes amplitude (A), frequency (f), and duty cycle (D), such as 1A equalization current, 1Hz equalization frequency, and 50% duty cycle, thereby determining the physical location of the corresponding battery cell.

[0027] When identifying the target slave node at the precise location of the active heat source through equilibrium parameter analysis, the steps are as follows: a. Finding the amplitude using the amplitude finding method: First, assume the amplitude takes discrete values ​​A1>A2>...A... nFind the point with the largest infrared radiation amplitude, match it with the command to find A1, and determine if the target slave node has been found. If so, stop searching; otherwise, continue searching for the point with the second largest infrared radiation amplitude, match it with the command to find A2, and determine if the target slave node has been found. This process continues until the amplitude difference (A) is reached. n -A n-1 The amplitude search method can be stopped when the difference is less than the thermal sensitivity of the infrared camera, such as 20mK (scientific instruments) or 80mK (industrial grade). This is because the amplitude of the electromagnetic wave is inversely proportional to the square of the distance. The power is inversely proportional to the fourth power of the distance ( ), while the power is inversely proportional to the fourth power of the Meanwhile, the amplitude and power are easily affected by the environment. To eliminate the influence of distance, it is advisable to ensure that the distance L between the infrared image sensor and the battery pack is much greater than the length (l), width (w), and height (h) of the battery pack. b. If the target node is not found using the amplitude search method in step a, continue searching using the equalization frequency method for each node in step a where the amplitude difference is less than the thermal sensitivity of the infrared camera: using the maximum amplitude A 1’ To achieve equilibrium, A 1’ For values ​​equal to A1 but with different corresponding equalization frequencies, different equalization frequencies (periods) are used, such as 10 seconds equalization / 10 seconds non-equalization, 5 seconds equalization / 5 seconds non-equalization... 1 second equalization / 1 second non-equalization, 0.5 seconds equalization / 0.5 seconds non-equalization,... 0.1 seconds equalization / 0.1 seconds non-equalization. By analyzing the equalization / non-equalization in the video, that is, the duration of heat enhancement / heat reduction, the target slave node is found. The average intensity of heat is proportional to the equalization frequency. If the target slave node is found, the search stops. If the target slave node is not found, the search continues to find the point with the second largest equalization frequency, and then corresponds to the instruction to find A2. It is then determined whether a slave node has been found. This process is repeated until the target slave node is found or until the difference in the average intensity of heat is less than the thermal sensitivity of the infrared camera, at which point the equalization frequency method stops. c. If the equalization frequency method in b fails to find the target slave node, continue searching using the equalization duty cycle method: again using amplitude A 1’’ Equalize with the lowest equalization frequency, A 1’’ For values ​​equal to A1 but with different corresponding duty cycles, different duty cycles are used, such as 9 seconds of equalization / 1 second of non-equalization, 8 seconds of equalization / 2 seconds of non-equalization, ... 0.5 seconds of equalization / 9.5 seconds of non-equalization. The length of the equalization and non-equalization time is analyzed to determine whether the target slave node has been found. If so, the search stops; if not, the search continues to find the point with the second largest equalization duty cycle, and then corresponds to the command to find A2. The slave node is then determined to be found. This process is repeated until the target slave node is found or until the intensity difference is less than the thermal sensitivity of the infrared camera. At this point, the equalization duty cycle method can be stopped. d. If the target node is not found in c using the equalization frequency method, return to a and repeat the above process until all nodes are found. At the same time, if method a is used to continuously loop, theoretically all nodes can be screened out. However, due to the cumulative effect of heat, sufficient cooling time is required between each repetition of method a. Therefore, this application suggests repeating steps a to c to save time.

[0028] By innovatively combining a wireless battery management chip with active-thermal infrared (IR) imaging technology, the location of a specific battery cell can be quickly identified within a large number of randomly stacked cells. This solution offers dual core value: during the initial installation phase at the factory, it enables convenient and precise positioning of the physical location of individual cells; even after the battery pack has undergone repair and reassembly, or the cell arrangement has been altered, the target cell can still be easily located. This technological breakthrough effectively saves battery manufacturers valuable time while significantly reducing operating costs.

[0029] At the same time, each time the above method is executed, the master node should send coded instructions of different amplitudes, frequencies, duty cycles and other physical quantities to all slave nodes at once, so that all slave nodes can respond with infrared signals at the same time. This can achieve the purpose of quickly locating the target slave node.

[0030] Infrared images can also be used for rapid thermal fault diagnosis. For example, if hot spots are found outside of the equilibrium position after image processing, it can be inferred that the battery is faulty and production should be stopped immediately for repair. Example 2

[0031] like Figure 1 As shown, this embodiment also provides a high-precision battery cell positioning device, including: The master node is used to send commands to the slave nodes via wireless radio frequency communication. The master node (wBMS Master) uses radio frequency communication technology (RF) to send commands (RF cmd(A,f,D,Slave ID), i.e., radio frequency command (amplitude, frequency, duty cycle, slave ID)) to the slave nodes (wBMS Slave-1, wBMS Slave-2, ..., wBMS Slave-n). The master node sends the "slave ID + equalization parameters" that need to start the equalization circuit to the slave nodes in the form of wireless broadcast. The equalization parameter information includes amplitude (A), frequency (f) and duty cycle (D).

[0032] Each slave node, located within the battery cell's BMS, is used to respond to the master node's commands and initiate the balancing circuit. The wireless communication chip within the cell's BMS is the slave node (wBMS Slave-1, Slave-2, ..., Slave-n). Each slave node is a wireless battery management chip on the corresponding battery cell. After matching the target slave node with its corresponding slave node ID, the balancing circuit is activated. An infrared camera is used to capture infrared radiation emitted by an active heat source to generate infrared images and videos. The active heat source is formed by the heat generated when the equalization circuit is working. The infrared camera (IR camera) captures the heat generated when the equalization circuit is working to form an active heat source (IR flicker (A,f,D), i.e., infrared flicker (amplitude, frequency, duty cycle)). The infrared radiation emitted by the active heat source generates an infrared image (IR image) and video. Then, based on the generated infrared image and video, the infrared point heat source formed by the active heat source emitting infrared radiation outward is identified. The characteristics of the infrared point heat source include amplitude, frequency, and duty cycle.

[0033] The image processing module is used to identify infrared point heat sources from the generated infrared images, calculate the location of the active heat source, and analyze the target slave node to determine the physical location of the corresponding battery cell. The image processing module processes the infrared point heat sources to extract the accurate location of the active heat source. At the accurate location of the active heat source, the target slave node is found through equalization parameter analysis. The equalization reference includes amplitude (A), frequency (f), and duty cycle (D), such as 1A equalization current, 1Hz equalization frequency, and 50% duty cycle, thereby determining the physical location of the corresponding battery cell.

[0034] At the same time, each time the device executes, the master node should send coded instructions of different amplitudes, frequencies, duty cycles and other physical quantities to all slave nodes at once, so that all slave nodes can respond with infrared signals at the same time. This can achieve the purpose of quickly locating the target slave node.

[0035] The image processing module also includes thermal fault diagnosis. For example, if hot spots are found in addition to the equalization position after image processing, it can be inferred that the battery is faulty and production should be stopped immediately for repair.

[0036] This invention is not limited to the specific technical solutions described in the above embodiments. Besides the above embodiments, this invention may have other implementation methods. For those skilled in the art, any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this invention should be included within the protection scope of this invention.

Claims

1. A high-precision battery cell positioning method, characterized in that, The steps are as follows: S1. The master node sends instructions to at least two slave nodes via wireless radio frequency communication. The instructions include the slave node identity ID and equalization parameters. After the target slave node cell matches the slave node identity ID, the corresponding equalization circuit is started. The heat generated when the equalization circuit is working forms an active heat source, which is emitted outward in the form of infrared rays. S2. By adjusting the equalization parameters in step S1, the infrared rays emitted by the active heat source are modulated. The infrared camera captures the infrared rays emitted by the active heat source and generates infrared images and videos. Based on the generated infrared images and videos, the infrared point heat source formed by the active heat source emitting infrared rays outward is identified. Before the infrared rays emitted by the active heat source are captured by the infrared camera, the visible wave band image sensor in the infrared camera is used to capture images of the battery pack. The edge contour of the battery pack corresponding to the image is identified by the edge extraction algorithm. A scale coordinate system is established based on the known physical dimensions of the battery pack to calibrate the position of the active heat source. S3. The infrared point heat source in step S2 is processed using a contrast enhancement algorithm to extract the accurate location of the active heat source. The target slave node is found at the accurate location of the active heat source through equalization parameter analysis, thereby determining the physical location of the corresponding battery cell. The equilibrium parameters include amplitude, frequency, and duty cycle. When identifying the target slave node at the precise location of the active heat source through equilibrium parameter analysis, the steps are as follows: a. Finding the amplitude using the amplitude finding method: First, assume that the amplitude takes discrete values ​​A1>A2>...A n Find the point with the largest infrared radiation amplitude, match it with the command to find A1, and determine if the target slave node has been found. If so, stop searching; otherwise, continue searching for the point with the second largest infrared radiation amplitude, match it with the command to find A2, and determine if the target slave node has been found. This process continues until the target slave node is found or the amplitude difference (A) is reached. n -A n-1 When the amplitude is less than the thermal sensitivity of the infrared camera, stop the amplitude search; b. If the target node is not found using the amplitude search method in step a, continue searching using the equalization frequency method for each node in step a where the amplitude difference is less than the thermal sensitivity of the infrared camera: using the maximum amplitude A 1’ To achieve equilibrium, A 1’ The values ​​of A1 are equal but their corresponding equalization frequencies are different. The target slave node is found by analyzing the duration of heat enhancement / weakening at the equalization frequency in the video. The average intensity of heat is proportional to the equalization frequency. If the target slave node is found, the search stops. If the target slave node is not found, the search continues to find the point with the second largest equalization frequency, and then corresponds to the instruction to find A2. It is then determined whether a slave node has been found. This process is repeated until the target slave node is found or until the difference in the average intensity of heat is less than the thermal sensitivity of the infrared camera. At this point, the equalization frequency method stops. c. If the equalization frequency method in b fails to find the target slave node, continue searching using the equalization duty cycle method: again using amplitude A 1’’ Equalize with the lowest equalization frequency, A 1’’ The values ​​of A1 are equal but their corresponding duty cycles are different. Different duty cycles are used to analyze the length of the equalization and non-equalization time and determine whether the target slave node has been found. If so, the search stops. If not, the search continues to find the point with the second largest equalization duty cycle and then corresponds to the command to find A2. The search is then conducted to determine whether the slave node has been found. This process is repeated until the target slave node is found or until the intensity difference is less than the thermal sensitivity of the infrared camera. The equalization frequency method is then stopped. d. If the target slave node is not found in c using the equalization frequency method, return to step a and repeat the loop, repeating steps ac until the target slave node is found.

2. The high-precision battery cell positioning method according to claim 1, characterized in that, In step S1, each slave node is a wireless battery management chip on the corresponding battery cell, and each slave node and the master node battery form a star-connected topology.

3. The high-precision battery cell positioning method according to claim 1, characterized in that, In step S1, the master node supports issuing instructions for different encoded physical quantities to multiple slave nodes simultaneously, allowing each slave node to respond simultaneously with infrared signals, so as to quickly locate the target slave node.

4. The high-precision battery cell positioning method according to claim 1, characterized in that, In step S2, if an abnormal heat source that does not correspond to the instruction appears in the infrared image, it is determined that the battery at that location is faulty and the operation is stopped for repair.

5. A high-precision battery cell positioning device, used to perform the high-precision battery cell positioning method as described in any one of claims 1 to 4, characterized in that, include: The master node is used to send commands to the slave nodes via wireless radio frequency communication; Each slave node is used to respond to the master node's instructions and start the corresponding equalization circuit. Each slave node is set in the BMS of the corresponding battery cell. An infrared camera is used to capture infrared light emitted by an active heat source to generate infrared images and videos. The active heat source is the heat generated when the equalization circuit is working. The image processing module is used to identify infrared point heat sources from the generated infrared images, calculate the location of the active heat source, and analyze the target slave node to determine the physical location of the corresponding battery cell.

6. The high-precision battery cell positioning device according to claim 5, characterized in that, Each slave node is a wireless battery management chip on the corresponding battery cell, and each slave node and the master node battery form a star-connected topology.

7. The high-precision battery cell positioning device according to claim 5, characterized in that, The master node supports issuing commands of different encoded physical quantities to multiple slave nodes simultaneously, allowing the slave nodes to respond simultaneously with infrared signals, thus quickly locating the target slave node.

8. The high-precision battery cell positioning device according to claim 5, characterized in that, The image processing module also includes thermal fault diagnosis, which is used to identify abnormal heat sources corresponding to unbalanced commands in infrared images and determine whether the battery is faulty.

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