System and method for diagonsising secondary cell battery using laser

Abstract

The present technology relates to a diagnostic system and method for secondary batteries using a laser. According to an embodiment of the present invention, internal defects of secondary batteries in each spatial compartment are diagnosed using a non-destructive technique based on ultrasound using a laser. This allows for the diagnosis of internal defects that are difficult to diagnose using existing battery management system-based electrical state diagnostic technology for secondary batteries, thereby reducing the rate of safety accidents. Additionally, secondary batteries whose soundness has been verified through the diagnosis of internal defects can be reused, and waste batteries whose soundness has been verified through the verification of internal defects can be recycled, thereby increasing the recycling rate of secondary batteries.

Description

Technology Field

[0001] The present invention relates to a diagnostic system and method for a secondary battery using a laser, and more specifically, to a technology that enables the production of high-quality secondary batteries by diagnosing internal defects of a secondary battery using a non-destructive technique via laser-based ultrasound. Background Technology

[0002] Secondary batteries have established themselves as an essential technological element for the development of future mobility technologies, including electric vehicles and urban air mobility, but safety accidents continue to occur in terms of safety performance.

[0003] Accordingly, verification of used secondary batteries is an essential element for ensuring safety and stable battery market growth.

[0004] Conventional battery management systems (BMS) have reached a limit in that they only perform the function of acquiring electrical signal information such as state-of-health (SOH) and state-of-charge (SOC) by referencing voltage, current, and temperature, and cannot perform secondary battery diagnosis regarding the detection and identification of local defects inside the battery.

[0005] To overcome these limitations, equipment that directly measures the internal structural characteristics of secondary batteries using X-ray technology or ultrasound has recently been developed, but such equipment is not only expensive but also difficult to verify results immediately.

[0006] In addition, ultrasound-based secondary battery defect diagnosis technology is not only advantageous in terms of cost but also has the advantage of being able to non-destructively diagnose internal battery characteristics using sound waves.

[0007] However, this is limited to single-position state verification using longitudinal waves in the thickness direction, and furthermore, the influence of signal noise caused by electrical coupling in pulser-receiver equipment acts as a constraint on the detection of echo signals in the thickness direction.

[0008] Accordingly, a new technical method is required that enables the prediction of failures that are difficult to detect in a BMS, and allows for economical, non-invasive, automated, and intuitive verification of the condition of each battery compartment, thereby preventing accidents related to secondary batteries and reliably predicting the remaining battery life.

[0009] Meanwhile, the aforementioned background technology is technical information that the inventor possessed for the derivation of the present invention or acquired during the process of deriving the present invention, and it cannot be considered as prior art disclosed to the general public prior to the filing of the present invention. Prior art literature

[0010] Korean Registered Patent No. 10-1792092 (Registration Date: (October 25, 2017)) The problem to be solved

[0011] The technical problem that the present invention aims to solve is to provide a diagnostic system and method for a secondary battery using a laser that can improve the reliability and safety of the secondary battery by deriving defects, defect locations, and remaining lifespan inside the secondary battery by spatial division using ultrasound generated by a laser.

[0012] In addition, another technical objective of the present invention is to provide a laser-based diagnostic system and method for a secondary battery that allows the secondary battery to be reused after being verified to be in a normal state by performing defects in the secondary battery using a non-destructive technique.

[0013] The objectives of the present invention are not limited to those mentioned above, and other objectives and advantages of the present invention not mentioned may be understood from the following description and will become more clearly known from the embodiments of the present invention. Furthermore, it will be readily apparent that the objectives and advantages of the present invention can be realized by the means and combinations thereof set forth in the claims. means of solving the problem

[0014] Based on one embodiment of the present invention, a diagnostic system for a secondary battery using a laser according to one embodiment is,

[0015] A single secondary battery is equipped to diagnose internal defects at designated diagnostic locations for each spatial partition at predetermined intervals, and

[0016] The above diagnostic system is,

[0017] A laser generator that sequentially moves to a predetermined number of diagnostic positions among the predetermined diagnostic positions and irradiates a reference laser of a predetermined pulse, and

[0018] A plurality of laser transducers, each equipped with a single optical fiber transducer installed at a predetermined number of diagnostic positions, which converts an irradiated reference laser into ultrasound of acoustic energy and propagates the converted ultrasound into the interior of a secondary battery; and

[0019] One feature is that it includes a laser sensor installed at the remaining designated diagnostic locations, excluding the above-mentioned number of diagnostic locations, which receives ultrasonic waves of acoustic energy reflected from inside the secondary battery and then converts them into a reflected laser.

[0020] Preferably, the above diagnostic system is,

[0021] It may further include an analysis device that diagnoses defects within a secondary battery by visualizing changes in physical property characteristics at each diagnostic location received based on a reference laser and a reflected laser propagated into the interior of the secondary battery as image intensity.

[0022] Preferably, each of the above laser sensors

[0023] It may be equipped with a plurality of optical fiber inverters to receive ultrasound reflected from inside the secondary battery, convert it into a laser, and transmit the converted reflected laser to the analysis device.

[0024] Preferably, the analysis device is,

[0025] A state index generation module that generates a state index (SI) for each diagnostic location based on a reflected laser and a predetermined reference laser; and

[0026] It may include a state image acquisition module that visualizes the final secondary battery state image (color temperature) by applying a predetermined spatial function to the state index for each diagnostic location.

[0027] Preferably, the analysis device is,

[0028] It may further include a learning module that outputs the remaining lifespan of a secondary battery by learning based on a pre-established learning model on an acquired state image, and

[0029] The above learning model is,

[0030] After acquiring a state image derived by accelerating performance degradation of a secondary battery with verified soundness through an accelerated life tester as reference data, verification of the final state image can be performed based on the reference data.

[0031] A diagnostic method for a secondary battery based on another embodiment of the present invention is,

[0032] At least one processor including a diagnostic system for a secondary battery

[0033] It is equipped to diagnose internal defects of a secondary battery at designated diagnostic locations for each spatial partition at predetermined intervals in a single secondary battery, and

[0034] A reference laser generation step of generating and irradiating a reference laser of a predetermined pulse from a single laser generator that sequentially moves through a predetermined number of diagnostic positions among a plurality of diagnostic positions determined by predetermined spatial divisions of the secondary battery to be diagnosed, and

[0035] A laser propagation step of converting a reference laser irradiated based on a laser converter embedded in a predetermined number of diagnostic locations into ultrasound of acoustic energy and propagating the converted ultrasound into the interior of a secondary battery; and

[0036] One feature is that it includes a laser receiving step that is embedded in the remaining diagnostic locations excluding the above-mentioned predetermined number of diagnostic locations, receives ultrasonic waves of acoustic energy transmitted based on a laser sensor, converts them into pulsed lasers, and outputs a plurality of reflected lasers.

[0037] Preferably, the at least one processor is,

[0038] It may further include an analysis step for diagnosing defects in the secondary battery by visualizing changes in physical property characteristics at each diagnostic location received based on the above reference laser and reflected laser as image intensity.

[0039] Preferably, the above analysis step is,

[0040] A step of generating a State Index (SI) for each diagnostic location based on the above reference laser and reflected laser; and

[0041] It may include a step of deriving the presence of defects and the location of defects inside the secondary battery by applying a predetermined spatial function to the state index for each diagnostic location and visualizing it as a final state image (color temperature) of the secondary battery.

[0042] Preferably, the above analysis step is,

[0043] It further includes a step of outputting the remaining life of the secondary battery by training on the acquired state image based on a pre-established learning model, and

[0044] It may be configured to acquire a state image derived by accelerating performance degradation of a defect-free, verified secondary battery through an accelerated life tester as reference data, and then perform verification of the state image based on the reference data. Effects of the invention

[0045] According to these features, by diagnosing internal defects of secondary batteries by space compartment using a non-destructive technique based on laser-assisted ultrasound, it is possible to diagnose internal defects that are difficult to diagnose with existing battery management system-based electrical state diagnosis technology for secondary batteries, thereby reducing the rate of safety accidents. Additionally, secondary batteries whose soundness has been verified through the diagnosis of internal defects can be reused, and waste batteries whose soundness has been verified through the verification of internal defects can be recycled, thereby increasing the recycling rate of secondary batteries.

[0046] In addition, according to the present invention, the quality of the produced battery can be verified in real time without separate additional equipment or costs, and the reliability of the secondary battery can be improved as the secondary battery with verified soundness is shipped.

[0047] Accordingly, by learning based on a pre-established learning model using the final state image obtained through the diagnosis of internal defects as input, the remaining lifespan is estimated, thereby providing guidance on the replacement time for the secondary battery.

[0048] Furthermore, the present invention can be implemented as a program or a smartphone application. Therefore, as long as the device can be linked with the program or application, it can be applied to various devices without limitation, thus having a wide range of applications. Brief explanation of the drawing

[0049] The following drawings attached to this specification illustrate preferred embodiments of the present invention and serve to further enhance understanding of the technical concept of the present invention together with the detailed description of the invention provided below; therefore, the present invention should not be interpreted as being limited only to the matters described in such drawings. FIG. 1 is a diagram showing a diagnostic system for a secondary battery to which one embodiment is applied. Figure 2 is a detailed configuration diagram of the laser converter of Figure 1. Figure 3 is an example diagram showing the sensing path of the diagnostic system of Figure 2. Figure 4 is a detailed configuration diagram of the analysis device of Figure 1. Figure 5 is a figure showing the output of each part of the diagnostic system of Figure 2. Figure 6 is a flowchart showing the processing process of the diagnostic system of Figure 1. Specific details for implementing the invention

[0050] Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement them. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals.

[0051] The following embodiments specifically describe a configuration for diagnosing the soundness of a secondary battery by propagating ultrasound of acoustic energy generated by a reference laser based on a laser converter installed in each spatial section of the secondary battery into the secondary battery, converting the ultrasound received by a plurality of laser sensors into a reflected laser, and deriving the presence of defects and defect locations based on changes in local physical properties caused by defects inside the secondary battery (e.g., voids, delamination, and addition of impurities, etc.) based on the converted reflected laser and the reference laser.

[0052] FIG. 1 is a diagram showing a diagnostic system for a secondary battery to which an embodiment is applied, FIG. 2 is a detailed configuration diagram of the laser converter of FIG. 1, FIG. 3 is an example diagram showing the sensing path of the diagnostic system of FIG. 2, FIG. 4 is a detailed configuration diagram of the analysis device of FIG. 1, and FIG. 5 is a diagram showing the output of each part of the diagnostic system of FIG. 2. Referring to FIG. 1 to FIG. 5, the diagnostic system for a secondary battery according to an embodiment designates a secondary battery to be diagnosed as a diagnostic location (NXM) according to a predetermined spatial partition, installs a laser converter at a predetermined number of diagnostic locations among the designated multiple diagnostic locations, and buries a laser sensor at the remaining diagnostic locations excluding the predetermined number. Accordingly, the diagnostic system for a secondary battery is configured to convert a reference laser generated by a laser generator into an ultrasound of acoustic energy and propagate it into the secondary battery, convert the ultrasound reflected from the secondary battery into a reflected laser based on a laser converter, and then derive the defect and the location of the defect in the secondary battery using the converted reflected laser and the reference laser, and includes a laser generator (1), a laser converter (2), a laser sensor (3), and an analysis device (4).

[0053] Here, the laser generator (1) is installed outside the secondary battery and is installed so as to be movable to a diagnostic position embedded in the laser converter (2), and generates a laser of a predetermined reference wavelength and provides the generated reference laser to the laser converter (2).

[0054] And the laser converter (2) is implemented as a fiber converter and has a configuration that converts the received reference laser into ultrasound of acoustic energy and propagates it into the interior of the secondary battery, and with reference to FIG. 2, for example, the fiber converter is composed of a composite of carbon nanoparticles (21) and a flexible polymer (22).

[0055] Here, the carbon nanoparticles (21) are composed of, for example, carbon nanotubes, carbon nanofibers, and nanoscale carbon particles, and effectively absorb light from a reference laser to convert light energy into heat energy in a very short time.

[0056] And, for example, the flexible polymer (22) can be composed of PDMS (Polydimethylsiloxane) or epoxy material, and absorbs thermal energy converted from carbon nanoparticles (121) to induce mechanical expansion and displacement, and rapidly diffuses through a reference laser with the induced high thermal expansion rate and high light transmittance.

[0057] As another example, the fiber optic transducer can be composed of a carbon nanoparticle-polymer composite, which can convert a reference laser into ultrasound of acoustic energy and amplify the magnitude of the ultrasound of the converted acoustic energy.

[0058] Meanwhile, the laser sensor (3) receives ultrasonic waves reflected due to internal defects in the secondary battery propagated by each laser converter (2) and converts the received ultrasonic waves into reflected lasers. At this time, referring to FIG. 3, for a single diagnostic location, the laser converter (2) and the laser sensor (3) can each receive a reference laser and a reflected laser. Accordingly, for each diagnostic location in a spatial section, at least one laser sensor is configured. Therefore, in the case of N laser converters (2) and M laser sensors (3), the total number of sensing paths is (N)X(M).

[0059] The ultrasound of the laser converter (2) and the laser sensor (3) is in the form of a pulse in which broadband frequency components occur for a short period of time, and the measurement frequency is a broadband signal including a Lamb wave and an object wave. Therefore, the ultrasound is in the form of a Lamb propagation that is induced parallel to the plane direction of the secondary battery. That is, the path of the ultrasound propagates into the secondary battery parallel to the plane of the secondary battery.

[0060] In addition, the laser sensor (3) may further include a Low Pass Filter (LPF) with a cutoff frequency set to a wavelength of a Rampa that is greater than the thickness of the target structure, and the ultrasound passing through the LPF is converted into a reflected laser by an optical fiber invert converter and provided to an analysis device (4). Although the series of processes for converting ultrasound into a laser form by an optical fiber invert converter is not specifically stated in this specification, it should be understood by those skilled in the art.

[0061] The analysis device (4) is configured to derive local physical property characteristic changes, including structural and chemical changes caused by defects in the secondary battery, based on the received reflected laser and reference laser of the laser sensor (3). Referring to FIG. 4, the analysis device (4) may include at least one of a state index generation module (41), a state image acquisition module (42), and a learning module (43).

[0062] That is, the state index generation module (41) derives a state index (SI) based on the correlation coefficient between the received reflected laser and the reference laser, the difference between the received reflected laser and the reference laser, and the wavelet function for the reflected laser and the reference laser.

[0063] Although the series of processes for deriving a State Index (SI) based on the correlation coefficient between the reflected laser and the reference laser, the difference between the reflected laser and the reference laser, and the wavelet function for the reflected laser and the reference laser are not specifically stated in this specification, it will be understood by those skilled in the art.

[0064] And, the state index (SI) generated for each sensor path is provided to the state image acquisition module (42).

[0065] The state image acquisition module (42) synthesizes the state images of each received sensing path and then applies a spatial function of the secondary battery surface coordinates to visualize the image intensity to derive the final state image. At this time, the synthesis of the state index can be derived from the following relationship 1.

[0066] [Relationship 1]

[0067]

[0068] Here, assuming there are N laser converters (2) and M laser sensors, SI is the state index of each of the M laser sensors (3), Wi is a predetermined weight, and i is a sensing path of each of the M laser sensors (3), ranging from 1 to N. N and M are each natural numbers greater than 0.

[0069] Referring to FIG. 5, a significant difference between the reflected laser and the measured laser can be represented as an image intensity of color temperature when compared with the measured laser in a sound state, and the image intensity is expressed as an index to output a state image for the target secondary battery. By quantifying the image pixel values ​​of the state image, a local state map corresponding to the criteria for determining whether an abnormal state of the secondary battery occurs in each spatial section can be identified, and accordingly, in one embodiment, the presence of internal defects in the secondary battery and the location of the defects can be intuitively confirmed.

[0070] Meanwhile, the learning module (43) can estimate the degree of degradation and remaining lifespan of a secondary battery by learning based on a pre-established learning model using a visualized state image as input. At this time, the learning model can accelerate performance degradation of a secondary battery with verified soundness through an accelerated life tester and obtain a state image derived from it as reference data, then perform verification of the final state image based on the obtained reference data and the input state image, and estimate the remaining lifespan of the secondary battery based on the state image.

[0071] Accordingly, in one embodiment, by diagnosing internal defects of secondary batteries by space compartment using a non-destructive technique, it is possible to diagnose internal defects (such as voids, peeling, and the addition of impurities inside secondary batteries under post-use conditions) that are difficult to diagnose with existing battery management system-based electrical state diagnosis technology for secondary batteries, thereby reducing the rate of safety accidents. Additionally, secondary batteries whose soundness has been verified through the diagnosis of internal defects can be reused, and waste batteries whose soundness has been verified through the verification of internal defects can be recycled, thereby increasing the recycling rate of secondary batteries.

[0072] Meanwhile, FIG. 6 is a flowchart showing the diagnostic process of a secondary battery of FIG. 1, and the diagnostic process of a secondary battery using a laser according to another embodiment of the present invention is explained with reference to FIG. 1 to 8.

[0073] Based on the first step (S11 to S13), a laser generator (1) of one embodiment is installed outside a secondary battery to be diagnosed to generate a reference laser of a predetermined pulse, and the generated reference laser is irradiated onto a laser converter (2) embedded in a predetermined number of diagnostic locations among the diagnostic locations in each spatial section, and the irradiated reference laser is converted into ultrasound of acoustic energy, and the converted ultrasound propagates parallel to the plane of the secondary battery.

[0074] And in step (S14, S15), the laser sensor (3) of one embodiment converts the ultrasound reflected based on the internal defect of the secondary battery into a pulsed reflected laser, and generates a state index for each spatial section based on the converted reflected laser and the reference laser.

[0075] Based on steps (S16, S17), the analysis device (4) of one embodiment can visualize the state index by spatial section as image intensity, acquire a final state image, and derive whether there is a defect in the secondary battery and the location of the defect based on the final state image.

[0076] Next, according to steps (S18, S19), the analysis device (4) of one embodiment can perform verification of the final state image by learning based on a learning model with the final state image as input, and can predict the remaining lifespan based on the final state image that has been verified.

[0077] Accordingly, one embodiment diagnoses internal defects of secondary batteries by space compartment using a non-destructive technique, thereby enabling the diagnosis of internal defects that are difficult to diagnose with existing battery management system-based electrical state diagnosis technology for secondary batteries, which can reduce the rate of safety accidents, and allows for the reuse of secondary batteries whose soundness has been verified through the diagnosis of internal defects, and increases the recycling rate of secondary batteries by recycling waste batteries whose soundness has been verified through the verification of internal defects.

[0078] For ease of understanding, the processor is sometimes described as being used as a single unit, but a person of ordinary skill in the art will understand that the processing unit may include multiple processing elements and / or multiple types of processing elements. For example, the processor may include multiple processors or one processor and one controller. In addition, other processing configurations, such as a parallel processor, are also possible.

[0079] Here, software may include a computer program, code, instructions, or a combination of one or more of these, and may configure a processing unit to operate as desired or instruct the processing unit independently or collectively.

[0080] Software and / or information, signals and data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave in order to be interpreted by a control unit or to provide commands or data to a processing unit.

[0081] Software may be distributed across networked computer systems and may be stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

[0082] The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., either individually or in combination. The program instructions recorded on the medium may be those specifically designed and configured for the embodiment, or they may be those known and available to those skilled in the art of computer software.

[0083] Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes; optical media such as CD-ROMs and DVDs; magneto-optical media such as floptical disks; and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory.

[0084] Examples of program instructions include machine code, such as that generated by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

[0085] The above-described hardware device may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

[0086] Although the embodiments have been described above with reference to limited examples and drawings, those skilled in the art can make various modifications and variations from the description above. For example, suitable results can be achieved even if the described techniques are performed in a different order than described, and / or the components of the described system, structure, device, circuit, etc. are combined or assembled in a form different from described, or replaced or substituted by other components or equivalents.

[0087] Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined by the claims set forth below as well as equivalents thereof. Explanation of the symbols

[0088] 1 : Laser generator 2 : Laser converter 3: Laser sensor 4: Analysis device 41 : State Index Creation Module 42: Status Image Acquisition Module 43 : Learning Model

Claims

Claim 1 A diagnostic system for diagnosing internal defects at predetermined diagnostic locations in spatial partitions of a predetermined interval in a single secondary battery is provided, and the diagnostic system comprises: a laser generator that sequentially moves to a predetermined number of diagnostic locations among the predetermined diagnostic locations and irradiates a reference laser of a predetermined pulse; and a plurality of laser converters each equipped with a single optical fiber converter installed at the predetermined number of diagnostic locations, which convert the irradiated reference laser into ultrasound of acoustic energy and propagate the converted ultrasound into the interior of the secondary battery. A diagnostic system for a secondary battery using a laser, characterized by further including a laser sensor installed at designated diagnostic locations excluding the aforementioned predetermined number of diagnostic locations, which receives ultrasonic waves of acoustic energy reflected from inside the secondary battery and converts them into reflected lasers; a diagnostic location (NXM) designated by spatial partition, a laser converter installed at a predetermined number of diagnostic locations among the designated multiple diagnostic locations, and a laser sensor embedded at the remaining diagnostic locations excluding the predetermined number; and an analysis device that diagnoses defects and defect locations within the secondary battery by visualizing changes in physical property characteristics at each diagnostic location received based on a reference laser and a reflected laser propagated into the interior of the secondary battery as image intensity. Claim 2 delete Claim 3 A diagnostic system for a secondary battery using a laser according to claim 1, wherein each of the laser sensors is equipped with a plurality of optical fiber inverters to receive ultrasound reflected from inside the secondary battery, convert it into a laser, and transmit the converted reflected laser to the analysis device. Claim 4 A diagnostic system for a secondary battery using a laser according to claim 1, wherein the analysis device comprises: a state index generation module that generates a state index (SI) for each diagnostic location based on a reflected laser and a predetermined reference laser; and a state image acquisition module that visualizes changes in the physical properties of the final secondary battery as a color temperature image by applying a predetermined spatial function to the state index for each diagnostic location. Claim 5 In claim 1, the analysis device may further include a learning module that outputs the remaining life of a secondary battery by learning based on a pre-established learning model for an acquired state image, and the learning model is a diagnostic system for a secondary battery using a laser that acquires a state image derived by accelerating performance degradation of a secondary battery with verified soundness through an accelerated life tester as reference data, and then performs verification of the final state image based on the reference data. Claim 6 A method for diagnosing a secondary battery performed in a secondary battery diagnostic system using a laser, wherein at least one processor including the secondary battery diagnostic system is configured to diagnose internal defects of a secondary battery at a diagnostic position determined by a spatial partition of a predetermined interval in a secondary battery, and a reference laser generation step of generating and irradiating a reference laser of a predetermined pulse from a laser generator that sequentially moves through a predetermined number of diagnostic positions among a plurality of diagnostic positions determined by a predetermined spatial partition of the secondary battery to be diagnosed, and a laser propagation step of converting the irradiated reference laser into ultrasound of acoustic energy based on a laser converter embedded in the predetermined number of diagnostic positions and propagating the converted ultrasound into the interior of the secondary battery; A method for diagnosing a secondary battery using a laser, characterized by further including a laser receiving step in which a laser sensor is embedded in the remaining diagnostic locations excluding a predetermined number of diagnostic locations, receives ultrasonic waves of acoustic energy propagated based on the laser sensor, converts them into pulsed lasers, and outputs a plurality of reflected lasers; a diagnostic location (NXM) is designated by spatial partition, a laser converter is installed in a predetermined number of diagnostic locations among the designated plurality of diagnostic locations, and a laser sensor is embedded in the remaining diagnostic locations excluding a predetermined number; and an analysis step is further included to diagnose defects and defect locations within the secondary battery by visualizing changes in physical property characteristics of each diagnostic location received based on a reference laser and reflected laser propagated into the interior of the secondary battery as image intensity. Claim 7 delete Claim 8 A method for diagnosing a secondary battery using a laser, wherein the analysis step comprises: a step of generating a State Index (SI) for each diagnostic location based on the reference laser and the reflected laser; and a step of visualizing the change in physical properties of the final secondary battery as a color temperature image by applying a predetermined spatial function to the State Index for each diagnostic location to derive the presence of defects and the location of defects inside the secondary battery. Claim 9 A method for diagnosing a secondary battery using a laser, wherein the analysis step further includes a step of outputting the remaining life of the secondary battery by learning based on a pre-established learning model on an acquired state image, and wherein a state image derived by accelerating performance degradation of a secondary battery verified to be defect-free and sound through an accelerated life tester is acquired as reference data, and then verification of the state image is performed based on the reference data. Claim 10 A computer-readable recording medium characterized by having a program recorded thereon for executing a method for diagnosing a secondary battery using a laser according to any one of claims 6, 8, and 9 on a computer. Claim 11 A computer program stored on a computer-readable recording medium for executing a method for diagnosing a secondary battery using a laser in combination with a computer, wherein the method for diagnosing the secondary battery comprises: at least one processor including a system for diagnosing a secondary battery using a laser is configured to diagnose internal defects of the secondary battery at a diagnosis location determined by a spatial partition of a predetermined interval in a single secondary battery; a reference laser generation step of generating and irradiating a reference laser of a predetermined pulse from a laser generator that sequentially moves through a predetermined number of diagnosis locations among a plurality of diagnosis locations determined by a predetermined spatial partition of the secondary battery to be diagnosed; and a laser propagation step of converting the irradiated reference laser into ultrasound of acoustic energy based on a laser converter embedded in the predetermined number of diagnosis locations and propagating the converted ultrasound into the interior of the secondary battery. The operating program of a method for diagnosing a secondary battery using a laser further includes a laser receiving step in which a laser sensor is embedded in the remaining diagnostic locations excluding the aforementioned predetermined number of diagnostic locations, receives ultrasonic waves of acoustic energy transmitted based on the laser sensor, converts them into pulsed lasers, and outputs a plurality of reflected lasers; a diagnostic location (NXM) is designated by spatial partition, a laser converter is installed in a predetermined number of diagnostic locations among the designated plurality of diagnostic locations, and a laser sensor is embedded in the remaining diagnostic locations excluding the predetermined number; and an analysis step is further included to diagnose defects and defect locations within the secondary battery by visualizing changes in physical property characteristics of each diagnostic location received based on a reference laser and reflected laser transmitted into the interior of the secondary battery as image intensity.

Images