High-emissivity identification and distance measurement method for lithium battery infrared thermal imaging identification and application of high-emissivity identification and distance measurement method

Abstract

The invention discloses a high-emissivity identification for lithium battery infrared thermal imaging identification, a distance measurement method and application of the high-emissivity identification, the high-emissivity identification comprises a surface function layer, an emission isolation layer, a binding material layer and a release protection layer which are sequentially arranged from top to bottom, and the distance measurement method comprises the steps that a lithium battery needing to be identified is covered with the high-emissivity identification; measuring the marked lithium battery by using an infrared thermal imager; setting a latitude angle to be theta; the high-emissivity identifier is non-uniformly compressed on a detector imaging plane of the thermal infrared imager and mapped into an ellipse with a long axis a and a short axis b; identifying values of the parameters a and b, and calculating a value of a latitude angle theta based on the parameters a and b; the focal length of the thermal infrared imager is f, the diameter of the high-emissivity identifier is set as d, the distance between the high-emissivity identifier and the thermal infrared imager is set as L, and the value of the parameter L is calculated based on the parameters d, f and a. According to the invention, the spatial position of the lithium battery can be obtained in the infrared thermal imaging temperature measurement process of the lithium battery.

Description

Technical Field

[0001] This invention relates to the field of lithium battery infrared thermal imaging identification technology, and in particular to a high emissivity marker, ranging method, and its application for lithium battery infrared thermal imaging identification. Background Technology

[0002] Infrared thermal imaging temperature measurement technology works by measuring the temperature of objects based on the infrared electromagnetic waves (wavelength 3-14μm) emitted spontaneously by them. For the operating temperature range of lithium batteries (20-40℃), mature infrared thermal imager products are available. The main components include: an optical lens, typically with a transmittance of over 90% in the mid-to-far infrared band (8-14μm), allowing precise focusing of the radiated energy from the lithium battery surface; an infrared detector, usually employing vanadium oxide or polycrystalline silicon detectors, achieving a NETD (noise equivalent temperature difference, i.e., identifiable temperature difference) of 0.03℃ at 30℃; and a signal conversion and processing system, which converts the detector's optical signal into an electrical signal. This system combines lithium battery surface emissivity compensation and atmospheric transmittance correction (due to measurement distance, water vapor, carbon dioxide, and colloidal effects) to form a temperature matrix with a certain resolution (e.g., 256×192 to 640×512 resolution), ultimately displaying different temperatures using different color levels. Infrared thermal imaging temperature measurement is used throughout the entire lifecycle of lithium batteries, including manufacturing, quality inspection, safety testing, operation monitoring, and fire early warning. The temperature measurement accuracy is typically less than 1°C, and is gradually moving towards 0.1°C level accuracy. Compared to contact measurements such as NTC thermistors and thermocouples, infrared thermal imaging temperature measurement offers advantages such as flexible deployment and non-contact measurement, with the efficiency of acquiring 300,000 temperature data points in a single scan. It can effectively analyze the battery temperature rise rate, detecting potential thermal runaway risks 15-30 minutes earlier than smoke and gas detection methods.

[0003] Lithium batteries generate heat during charging and discharging, and this heat generation power is denoted as Q. A portion of this heat generation power Q is stored within the battery as the battery temperature T rises over time; this is known as the heat storage power Q. b Another portion of the heat passes through a temperature of T. f The heat dissipation is carried away by convective heat transfer through the cooling medium (air, coolant, etc.) and by radiative heat transfer (related to the battery surface emissivity and the fourth power of temperature T). The total heat dissipation power Q is the combined convective and radiative heat dissipation. c .

[0004] The battery's heat generation power Q is equal to its heat storage power Q. b With heat dissipation power Q cThe sum of these factors represents the dynamic thermal equilibrium. The ideal operating temperature T of a lithium battery is 25-35℃. When the battery generates heat, cooling is necessary to ensure that the battery temperature T rises within a reasonable range. Based on the dynamic thermal equilibrium, the battery temperature T changes in real time. The corresponding thermal radiation from the battery temperature T reaches the infrared thermal imager. The infrared thermal imager, combined with correction functions for emissivity and transmittance (affected by distance and humidity), obtains the measured temperature T0. C This is how infrared thermal imaging temperature measurement of lithium batteries is achieved.

[0005] Currently, infrared thermal imaging temperature measurement of lithium batteries in energy storage power stations is not ideal in terms of accuracy, range, and image recognition. It can only be used as an auxiliary means for thermal management of energy storage power stations, mainly due to the following three shortcomings:

[0006] (1) The third drawback is that the principle of infrared thermal imaging is similar to that of cameras and naked-eye imaging. Therefore, even with image recognition, it can only roughly determine the distance of the lithium battery and it is difficult to accurately analyze the spatial position (distance and angle, etc.) of the lithium battery. Furthermore, infrared thermal imaging temperature measurement is affected by distance-related factors. If the spatial position (distance and angle, etc.) cannot be accurately determined, there is a lack of support for correcting distance-related factors. Moreover, the correction schemes of different thermal imager manufacturers are not the same, which exacerbates this drawback.

[0007] (2) One drawback is the low and inconsistent emissivity of thermal radiation on the surface of energy storage batteries. The materials, processes, and colors of batteries from different manufacturers vary, resulting in significant differences in thermal radiation emissivity, which is generally lower than the 0.95 emissivity required for infrared thermal imaging. If the object emissivity setting of the infrared thermal imager is not adjusted according to different battery surfaces, the measured temperature will generally be lower than expected. This problem is quite common in the field of infrared thermal imaging. For example, a hand and a ring at the same temperature will have different emissivity due to the low emissivity of the metal ring, resulting in a lower infrared thermal imaging temperature measurement.

[0008] (3) The second disadvantage is that energy storage batteries typically use square aluminum-cased lithium iron phosphate batteries. When stacked horizontally to form modules, their shape and boundaries are not easy to recognize in images. Massive data processing is difficult. Continuous monitoring of a 1GWh energy storage system generates over 500TB of thermal image data annually, requiring the introduction of AI to enhance image recognition and compression. Currently, energy storage battery compartments generally have a capacity of 6MWh, including approximately 6000 lithium batteries. The massive amount of infrared thermal imaging image data lacks cleaning and filtering methods, making AI recognition processing too demanding. If a 1GWh energy storage system is continuously monitored, the annual image data generated will exceed 500TB, making image recognition and compression using AI difficult. Summary of the Invention

[0009] In view of the shortcomings of the prior art, the purpose of this invention is to provide a high emissivity marker, ranging method and its application for lithium battery infrared thermal imaging identification, so as to solve the problem of difficulty in obtaining the spatial position of lithium battery in the process of lithium battery infrared thermal imaging temperature measurement.

[0010] To address the aforementioned issues, the present invention first provides a high emissivity marker for lithium battery infrared thermal imaging identification. The high emissivity marker comprises, from top to bottom, a surface functional layer, an emission isolation layer, an adhesive material layer, and a release protection layer.

[0011] The surface functional layer is formed by a polymer composed of graphene or silicon carbide nanoparticles and an epoxy resin matrix; the emission isolation layer is formed by copper foil or vapor-deposited aluminum foil.

[0012] The emissivity of the surface functional layer is 0.95±0.02, and the reflectivity of the emission isolation layer is greater than 0.98;

[0013] The high emissivity identifier is set as a circular structure.

[0014] Preferably, the thickness of the surface functional layer is 0.025 to 0.08 mm, and the temperature resistance is -40℃ to 300℃.

[0015] Preferably, the thickness of the emission isolation layer is 0.025 to 0.05 mm.

[0016] Preferably, the adhesive layer is formed of modified acrylic pressure-sensitive adhesive, and the thickness of the adhesive layer is 0.08 μm to 0.25 mm.

[0017] Preferably, the release protective layer is formed of PET silicone oil, and the thickness of the release protective layer is 0.02 mm to 0.06 mm.

[0018] Preferably, the overall thickness of the high emissivity marker is 0.20mm to 0.35mm, and the diameter is 45mm to 60mm.

[0019] The present invention also provides a lithium battery infrared thermal imaging identification and ranging method, which uses the high emissivity marker described above. The lithium battery infrared thermal imaging identification and ranging method includes the following steps:

[0020] High emissivity labels are applied to the lithium batteries that need to be labeled, and infrared thermal imagers are used to measure the labeled lithium batteries.

[0021] When the optical axis of the infrared thermal imager is not perpendicular to the plane of the circular high emissivity marker, let the latitude angle be θ;

[0022] The high emissivity marker is non-uniformly compressed on the detector imaging plane of the infrared thermal imager, and mapped as an ellipse with major axis a and minor axis b;

[0023] Identify the values ​​of parameters a and b, and based on parameters a and b and the formula: Calculate the value of the latitude angle θ;

[0024] Let the focal length of the infrared thermal imager be f, the diameter of the high emissivity marker be d, and the distance from the high emissivity marker to the infrared thermal imager be L. Based on the parameters d, f, and a, and the formula: Calculate the value of parameter L.

[0025] Preferably, let the imaging size of the high emissivity marker be s, and the field of view (FOV) of the infrared thermal imager corresponding to the high emissivity marker be FOV, based on the following formula: Calculate the field of view (FOV) value;

[0026] The value of s can be either parameter a or b, thereby obtaining two field of view (FOV).

[0027] This invention also provides an application of the above-described lithium battery infrared thermal imaging identification and ranging method, including:

[0028] Attenuation formula based on distance L and infrared radiation transmittance τ(λL): Correct the temperature measurement data of the infrared thermal imager;

[0029] The lithium batteries are numbered based on the distance L and latitude angle θ. The number of each group of lithium batteries is mapped to the distance L and latitude angle θ and pre-stored in the database. The lithium batteries are located by using the distance L and latitude angle θ.

[0030] The present invention has the following beneficial effects:

[0031] 1. Using standard-sized circular markers, elliptical images can be formed in infrared thermal imagers at different distances and angles. By analyzing the major axis pixel size and major-minor axis ratio of the imaging ellipse, and combining this with the focal length, the distance and azimuth of the marked battery can be easily obtained. Once accurate distance and azimuth are obtained, the correction method for infrared thermal imaging temperature measurement can be further improved, enhancing the accuracy of corrections for distance-related influencing factors.

[0032] 2. The high emissivity label sticker designed for lithium battery temperature measurement uses graphene (C) and silicon carbide (SiC) with high and fixed emissivity to form the surface functional layer. It can cover the surface of various lithium batteries. By using the same high emissivity label sticker, the influence of surface appearance materials on infrared temperature measurement is effectively solved. It avoids the large differences in thermal radiation emissivity caused by the different materials, processes, and colors of batteries from different lithium battery manufacturers. Moreover, the high emissivity label sticker has the emissivity of 0.95 required for infrared thermal imaging and can accurately transmit battery temperature.

[0033] 3. High emissivity markings use standard-sized circular markings (e.g., 50mm in diameter), adapting to the dimensions of various surfaces of mainstream square lithium iron phosphate batteries. Furthermore, the standard-sized markings help reduce the difficulty of AI image recognition from the outset when using AI to enhance image recognition and compression. The clear and distinct boundaries of each battery's marking directly improve AI recognition accuracy and reduce the training data and time required for AI recognition. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of the structure of a high emissivity identifier for lithium batteries provided in an embodiment of the present invention;

[0035] Figure 2 This is a schematic diagram of the elliptical imaging projection relationship of the high emissivity marker provided in this embodiment of the invention after passing through the infrared thermal imaging lens onto the detection sensor.

[0036] Figure 3 This is an illustration of the effect of a high emissivity marker from different viewing angles provided in an embodiment of the present invention;

[0037] Figure 4 This is a product rendering of the high emissivity label provided in an embodiment of the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] In the description of this invention, it should be noted that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "top surface," "bottom surface," "inner," "outer," "inner side," and "outer side," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0040] In the description of this invention, "several" means one or more, "multiple" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. Where the terms "first," "second," and "third" are used for descriptive purposes and to distinguish technical features, they should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the sequential relationship of the indicated technical features.

[0041] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "setting" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal communication between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. The embodiments of this invention will now be described according to its overall structure.

[0042] Figure 1 This is a schematic diagram of the structure of a high emissivity identifier for lithium batteries provided in an embodiment of the present invention. (See attached diagram.) Figure 1 A high emissivity identifier for lithium battery infrared thermal imaging identification is disclosed. The high emissivity identifier comprises, from top to bottom, a surface functional layer 1, an emission isolation layer 2, an adhesive material layer 3, and a release protective layer 4. The surface functional layer 1 is formed by a polymer composed of graphene or silicon carbide nanoparticles and an epoxy resin matrix. The emission isolation layer 2 is formed by copper foil or vapor-deposited aluminum foil. The emissivity of the surface functional layer 3 is 0.95 ± 0.02, and the reflectivity of the emission isolation layer 3 is greater than 0.98. The high emissivity identifier is circular.

[0043] In a preferred embodiment, the thickness of the surface functional layer 1 is 0.025 to 0.08 mm, for example, the thickness of the surface functional layer 1 is 0.04 mm, 0.05 mm or 0.06 mm, and the temperature resistance of the surface functional layer 1 is -40℃ to 300℃.

[0044] In a preferred embodiment, the thickness of the emission isolation layer 2 is 0.025–0.05 mm. For example, the thickness of the emission isolation layer 2 is 0.02 mm, 0.03 mm, or 0.04 mm.

[0045] In a preferred embodiment, the adhesive layer 3 is formed of modified acrylic pressure-sensitive adhesive, and the thickness of the adhesive layer 3 is 0.08 mm to 0.25 mm, for example, the thickness of the adhesive layer is 0.08 mm, 0.1 mm or 0.15 mm.

[0046] In a preferred embodiment, the release protective layer 4 is formed of PET silicone oil, and the thickness of the release protective layer 4 is 0.02mm to 0.06mm, for example, the thickness of the release protective layer is 0.03mm or 0.05mm.

[0047] In a preferred embodiment, the overall thickness of the high emissivity marker is 0.20mm to 0.35mm, for example, the overall thickness of the high emissivity marker is 0.20mm, 0.30mm or 0.35mm, and the diameter is 45mm to 60mm, for example, the diameter of the high emissivity marker is 45mm, 50mm or 55mm.

[0048] Figure 4 This is a product rendering of the high emissivity label provided in an embodiment of the present invention. (See attached image.) Figure 4 In one specific implementation, the high-emissivity marker is circular. The surface functional layer of the marker is a polymer composed of graphene nanoparticles and an epoxy resin matrix, with a thickness of 0.05 mm and an emissivity of 0.95 ± 0.02. The emissivity remains stable across the wavelength range corresponding to the lithium battery temperature range. It withstands high and low temperatures from -40 to 300℃ and exhibits good thermal conductivity and insulation. The emission isolation layer is made of vapor-deposited aluminum foil (Al), with a thickness of 0.02 mm and a reflectivity greater than 98%, effectively eliminating radiation interference from the original surface. The adhesive layer is a commonly used modified acrylic pressure-sensitive adhesive, with a thickness of 0.10 mm. The release protection layer is a PET silicone film, with a thickness of 0.05 mm. Both the adhesive layer and the release protection layer provide reasonable adhesion and peel strength, facilitating easy adhesion and peeling without leaving residue. The overall thickness of the circular high-emissivity marker is 0.22 mm.

[0049] In one specific implementation scheme described above, the high emissivity label is selected from the perspective of thermal radiation by using a sticker with high and accurate emissivity (≥0.95), high temperature resistance (≥80℃), good thermal conductivity and insulation, and easy to stick / peel; from the perspective of image recognition, the high emissivity label is selected as a circular label with regular shape, accurate size, and easy AI recognition.

[0050] Figure 2 This is a schematic diagram showing the elliptical projection relationship of a high-emissivity marker, after passing through an infrared thermal imaging lens, onto a detection sensor, according to an embodiment of the present invention. (See attached diagram.) Figure 2 This invention provides a lithium battery infrared thermal imaging identification and ranging method, which uses the high emissivity marker described above. The lithium battery infrared thermal imaging identification and ranging method includes the following steps:

[0051] (1) Cover the lithium battery to be labeled with a high emissivity label and measure the labeled lithium battery with an infrared thermal imager.

[0052] (2) When the optical axis of the infrared thermal imager is not perpendicular to the plane of the circular high-emissivity marker, let the latitude angle be θ, such as Figure 2 As shown, the latitude angle θ is the angle between the circular high-emissivity marker and the infrared thermal imager. Figure 2 As shown, the high emissivity marker is non-uniformly compressed on the imaging plane of the infrared thermal imager's detector sensor and mapped as an ellipse with major axis a and minor axis b.

[0053] (3) Since the high emissivity marker has already been imaged by the infrared thermal imager, the values ​​of the major axis a and minor axis b of the imaging ellipse are identified, and based on the parameters a and b and the formula: Calculate the latitude angle θ of the high emissivity identifier.

[0054] (4) Figure 2 As shown, the focal length of the infrared thermal imager is f. Let the diameter of the high-emissivity marker be d and the distance from the high-emissivity marker to the infrared thermal imager be L. Based on parameters d, f, and a, and the formula: Calculate the value of parameter L.

[0055] Wherein, the imaging size of the high emissivity marker is s, and the field of view (FOV) of the infrared thermal imager corresponding to the high emissivity marker is FOV, based on the following formula: Calculate the field of view (FOV) value; where the value of s can be parameter a or b, thereby obtaining two field of view (FOV) values.

[0056] In the method described above, the ratio of the major axis a of the imaging ellipse to the actual diameter d of the marker (e.g., 50 mm) is used, according to perspective projection, to equal the ratio of the focal length f to the distance L, as shown in the equation: As shown. The focal length f of an infrared thermal imager can be corrected using this formula, and the marking distance L can also be calculated using this formula after setting the focal length f. Infrared thermal imagers used for monitoring battery temperature typically use a long focal length f = 100mm, suitable for monitoring the marking temperature at medium to long distances.

[0057] The field of view (FOV) of the infrared thermal imager corresponding to the label is related to the imaging size s and focal length f as shown in the following formula: As shown. For a circular marker, the imaging size s can be taken as the major axis a and the minor axis b, respectively, to obtain the field of view (FOV) in two directions. The imaging size s cannot be greater than the maximum size of the imaging sensor, nor less than the minimum pixel requirement to meet the needs of image recognition and temperature determination.

[0058] Figure 3 This is an illustration of the effect of a high emissivity marker from different viewing angles provided in an embodiment of the present invention. (See attached image.) Figure 3The images show the effect of a high-emissivity marker when the latitude angle θ is 22.8° and the corresponding marker distance L is 0.2m, and the effect of a high-emissivity marker when the latitude angle θ is 66.3° and the corresponding marker distance L is 0.2m.

[0059] This invention also provides an application of the above-described lithium battery infrared thermal imaging identification and ranging method, including using the ranging results for distance-related factor compensation, specifically: based on the attenuation formula of distance L and infrared radiation transmittance τ(λL): Correct the temperature measurement data of the infrared thermal imager; number the lithium batteries based on distance L and latitude angle θ, map the number of each group of lithium batteries to distance L and latitude angle θ and store it in the database, and realize the positioning of lithium batteries through distance L and latitude angle θ.

[0060] In the above application, by identifying the dimensions a and b of the imaging ellipse and combining this with the focal length f of the infrared thermal imager, the latitude angle θ and distance L of the marker can be quickly obtained, thus rapidly locating the high-temperature battery. If the relationship between the battery number and the angle and distance is pre-stored in a database, the high-temperature battery number can also be quickly identified, and appropriate measures can be taken.

[0061] Based on the angle θ and distance L, and combined with the temperature and humidity data measured inside the battery compartment, the MODTRAN compensation model can be better utilized; or the attenuation formula related to infrared radiation transmittance τ(λL) - distance L can be used: Where k λ This is a spectral attenuation coefficient used to correct the temperature measurement data from the thermal imager.

[0062] The present invention has the following advantages in practical application:

[0063] (1) Introducing a high emissivity label sticker designed for lithium battery temperature measurement, using graphene (C) and silicon carbide (SiC) with high emissivity and fixed emissivity (0.95) to form a surface functional layer, which can cover the surface of various lithium batteries and accurately transmit battery temperature, effectively solving the influence of surface appearance materials on infrared temperature measurement.

[0064] (2) The high emissivity label uses a standard-sized circular sticker (d = 50mm in diameter), which is suitable for the dimensions of various surfaces of mainstream square lithium iron phosphate batteries. Furthermore, the standard-sized label helps reduce the difficulty of AI image recognition from the outset. The clear and distinct boundaries of the label for each battery directly improve the accuracy of AI recognition and reduce the training data and time required for AI recognition.

[0065] (3) Using a standard-sized circular marker, an elliptical image is formed in an infrared thermal imager at different distances and angles. By analyzing the pixel size of the major axis and the ratio of the major and minor axes of the imaging ellipse, combined with the focal length, the distance and azimuth of the marker battery can be easily obtained. After obtaining accurate distance and azimuth, the correction method for infrared thermal imaging temperature measurement can be further improved, and the correction accuracy for distance-related influencing factors (distance, humidity, carbon dioxide, colloids, etc.) can be enhanced.

[0066] The above description is only a specific embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A high emissivity identifier for lithium battery infrared thermal imaging identification, characterized in that, The structure of the high emissivity mark includes, from top to bottom, a surface functional layer, an emission isolation layer, an adhesive material layer, and a release protection layer; The surface functional layer is formed by a polymer composed of graphene or silicon carbide nanoparticles and an epoxy resin matrix; the emission isolation layer is formed by copper foil or vapor-deposited aluminum foil. The emissivity of the surface functional layer is 0.95±0.02, and the reflectivity of the emission isolation layer is greater than 0.98; The high emissivity identifier is set as a circular structure.

2. The high emissivity identifier for lithium battery infrared thermal imaging identification according to claim 1, characterized in that, The thickness of the surface functional layer is 0.025mm to 0.08mm, and the temperature resistance is -40℃ to 300℃.

3. A high emissivity identifier for lithium battery infrared thermal imaging identification according to claim 1, characterized in that, The thickness of the emission isolation layer is 0.025mm to 0.05mm.

4. A high emissivity identifier for lithium battery infrared thermal imaging identification according to claim 1, characterized in that, The adhesive layer is formed of modified acrylic pressure-sensitive adhesive, and the thickness of the adhesive layer is 0.08 mm to 0.25 mm.

5. A high emissivity identifier for lithium battery infrared thermal imaging identification according to claim 1, characterized in that, The release protective layer is formed of PET silicone oil, and the thickness of the release protective layer is 0.02mm to 0.06mm.

6. A high emissivity identifier for lithium battery infrared thermal imaging identification according to claim 1, characterized in that, The overall thickness of the high emissivity marker is 0.20mm to 0.35mm, and the diameter is 45mm to 60mm.

7. A lithium battery infrared thermal imaging identification and ranging method, characterized in that, Using the high emissivity identifier as described in any one of claims 1-6, the lithium battery infrared thermal imaging identification and ranging method includes the following steps: High emissivity labels are applied to the lithium batteries that need to be labeled, and infrared thermal imagers are used to measure the labeled lithium batteries. When the optical axis of the infrared thermal imager is not perpendicular to the plane of the circular high emissivity marker, let the latitude angle be θ; The high emissivity marker is non-uniformly compressed on the detector imaging plane of the infrared thermal imager, and mapped as an ellipse with major axis a and minor axis b; Identify the values ​​of parameters a and b, and based on parameters a and b and the formula: Calculate the value of the latitude angle θ; Let the focal length of the infrared thermal imager be f, the diameter of the high emissivity marker be d, and the distance from the high emissivity marker to the infrared thermal imager be L. Based on the parameters d, f, and a, and the formula: Calculate the value of parameter L.

8. The lithium battery infrared thermal imaging identification and ranging method according to claim 7, characterized in that, Let the imaging size of the high emissivity marker be s, and the field of view (FOV) of the infrared thermal imager corresponding to the high emissivity marker be FOV, based on the following formula: Calculate the field of view (FOV) value; The value of s can be either parameter a or b, thereby obtaining two field of view (FOV).

9. An application of the lithium battery infrared thermal imaging identification and ranging method as described in any one of claims 1-8, characterized in that, include: The attenuation formula based on distance L and infrared radiant transmittance τ(λL) is: τ(λL)=e -KλL Correct the temperature measurement data of the infrared thermal imager; The lithium batteries are numbered based on the distance L and latitude angle θ. The number of each group of lithium batteries is mapped to the distance L and latitude angle θ and pre-stored in the database. The lithium batteries are located by using the distance L and latitude angle θ.

Images