Battery state estimating model and apparatus and method for diagnosing battery

Abstract

A battery state estimating model according to one embodiment of the present invention comprises: a battery information input unit configured to receive battery information about a volume change amount and an active material concentration change amount of a battery in a charging process; a charging information input unit configured to receive charging information about a charging C-rate in the charging process; and an output unit configured to output preset state information to correspond to the charging C-rate on the basis of the volume change amount and the active material concentration change amount.

Description

Battery condition estimation model and battery diagnostic device and method

[0001] This application is a priority claim application for Korean Patent Application No. 10-2024-0143202 filed on October 18, 2024, and all contents disclosed in the specification and drawings of said application are incorporated into this application by reference.

[0002] The present invention relates to a battery state estimation model and a battery diagnostic device and method. More specifically, it relates to a battery state estimation model for estimating the state of a battery and a device and method for diagnosing the state of a battery using the same.

[0003] Recently, as the demand for portable electronic products such as laptops, video cameras, and mobile phones has increased rapidly, and the development of electric vehicles, energy storage batteries, robots, and satellites has accelerated, research on high-performance batteries capable of repeated charging and discharging is actively underway.

[0004] Currently commercialized batteries include nickel-cadmium, nickel-hydrogen, nickel-zinc, and lithium batteries. Among these, lithium batteries are gaining attention for their advantages, such as the ability to freely charge and discharge with almost no memory effect compared to nickel-based batteries, a very low self-discharge rate, and high energy density.

[0005] While much research is being conducted on these batteries in terms of increasing capacity and density, improving lifespan and safety is also important. To enhance battery safety, technology capable of accurately diagnosing the battery's current state is required.

[0006] However, since batteries are assembled using methods such as high-temperature bonding, welding, or adhesive application, these joints can be damaged during the disassembly process. Furthermore, during the reassembly process following disassembly, deformation of the internal structure, seal failure, or damage to the joints can occur, leading to a significant degradation in battery performance. Moreover, because microscopic damage may occur in the reassembled battery, the risk of fire or explosion can also increase significantly. As such, disassembling and reassembling a battery is practically impossible.

[0007] In other words, considering the difficulty of disassembling the battery, it is practically impossible to directly obtain the battery's electrode profile (positive and / or negative profile) through actual measurements. Therefore, a technology is required to estimate the battery's condition in a non-destructive manner.

[0008] The present invention is devised to solve the above-mentioned problems and aims to provide a battery state estimation model for estimating the state of a battery, and an apparatus and method for diagnosing the state of a battery using the same.

[0009] Other objects and advantages of the present invention may be understood from the following description and will become more clearly apparent from the embodiments of the present invention. Furthermore, it will be readily apparent that the objects and advantages of the present invention can be realized by the means and combinations thereof set forth in the claims.

[0010] A battery state estimation model according to one aspect of the present invention may include: a battery information input unit configured to receive battery information regarding a change in volume and a change in active material concentration of the battery during a charging process; a charging information input unit configured to receive charging information regarding a charging C-rate during the charging process; and an output unit configured to output state information pre-set to correspond to the charging C-rate based on the change in volume and the change in active material concentration.

[0011] The above output unit may be configured to output the amount of positive capacity loss of the battery as the above status information.

[0012] The above anode capacity loss amount can be preset to increase as the corresponding charging C-rate increases.

[0013] The battery information input unit above may be configured to receive at least one of the change in internal concentration of the active material and the change in surface concentration of the active material as the change in concentration of the active material.

[0014] The output unit may be configured to determine a target profile corresponding to the charging C-rate among a plurality of preset profiles corresponding to the volume change amount and the active material concentration change amount, and to output the state information based on the determined target profile.

[0015] The above charging information input unit may be configured to receive additional charging information regarding the charging time during the charging process.

[0016] The above output unit may be configured to output the state information corresponding to the charging time in the target profile.

[0017] The above profile can be configured to show the correspondence between the charging time and the amount of anode capacity loss during the charging process.

[0018] A battery diagnostic device according to another aspect of the present invention may include: a battery state estimation model according to one aspect of the present invention; an information acquisition unit configured to acquire the battery information and the charging information; and a control unit configured to input the battery information and the charging information into the battery state estimation model and to diagnose the state of the battery based on the state information output from the battery state estimation model.

[0019] The control unit may be configured to compare the state information with a preset threshold value and diagnose the state of the battery based on the comparison result.

[0020] A server according to another aspect of the present invention may include a battery diagnostic device according to another aspect of the present invention.

[0021] A battery diagnostic method according to another aspect of the present invention may include: an information acquisition step for acquiring battery information and charging information to be input to a battery state estimation model; an information input step for inputting the battery information and charging information to the battery state estimation model; and a battery state diagnostic step for diagnosing the state of a battery based on the state information output from the battery state estimation model.

[0022] A computer-readable recording medium according to another aspect of the present invention may store a computer program for executing a battery diagnosis method comprising: an information acquisition step of acquiring battery information and charging information to be input to a battery state estimation model; an information input step of inputting the battery information and charging information to the battery state estimation model; and a battery state diagnosis step of diagnosing the state of a battery based on the state information output from the battery state estimation model.

[0023] According to one aspect of the present invention, the condition of a battery can be diagnosed based on physicochemical changes in the battery during the charging process.

[0024] The effects of the present invention are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art from the description in the claims.

[0025] The following drawings attached to this specification serve to further enhance understanding of the technical concept of the invention in conjunction with the detailed description of the invention set forth below; therefore, the invention should not be interpreted as being limited only to the matters described in such drawings.

[0026] FIG. 1 is a schematic diagram illustrating a battery state estimation model according to one embodiment of the present invention.

[0027] FIG. 2 is a diagram illustrating an exemplary configuration of a battery state estimation model according to one embodiment of the present invention.

[0028] FIG. 3 is a schematic diagram illustrating a profile according to one embodiment of the present invention.

[0029] FIG. 4 is a schematic diagram illustrating a plurality of profiles according to one embodiment of the present invention.

[0030] Figure 5 is a diagram illustrating the correlation between the amount of anode capacity loss according to the charging C-rate.

[0031] FIG. 6 is a schematic diagram illustrating a battery diagnostic device according to another embodiment of the present invention.

[0032] FIG. 7 is a drawing illustrating an exemplary configuration of a battery diagnostic device according to another embodiment of the present invention.

[0033] FIG. 8 is a schematic diagram illustrating a server according to another embodiment of the present invention.

[0034] FIG. 9 is a schematic diagram illustrating a battery diagnostic method according to another embodiment of the present invention.

[0035] Terms and words used in this specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings, but should be interpreted in a meaning and concept consistent with the technical spirit of the invention, based on the principle that the inventor can appropriately define the concept of the terms to best describe his invention.

[0036] Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are merely the most preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention; thus, it should be understood that various equivalents and modifications that can replace them may exist at the time of filing this application.

[0037] In addition, in describing the present invention, if it is determined that a detailed description of related known components or functions may obscure the essence of the invention, such detailed description is omitted.

[0038] Terms including ordinal numbers, such as first, second, etc., are used for the purpose of distinguishing one of the various components from the rest, and are not used to limit the components by such terms.

[0039] Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0040] Additionally, throughout the specification, when it is said that a part is "connected" to another part, this includes not only cases where they are "directly connected," but also cases where they are "indirectly connected" with other components in between.

[0041]

[0042] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings.

[0043] FIG. 1 is a schematic diagram illustrating a battery state estimation model (100) according to one embodiment of the present invention. FIG. 2 is a diagram illustrating an exemplary configuration of a battery state estimation model (100) according to one embodiment of the present invention.

[0044] Referring to FIG. 1, the battery state estimation model (100) may include a battery information input unit (110), a charging information input unit (120), and an output unit (130).

[0045] Here, a battery refers to a single, independent cell that is physically separable and equipped with a negative terminal and a positive terminal. For example, a lithium-ion battery or a lithium-polymer battery may be considered a battery. Additionally, the battery may be of the cylindrical, prismatic, or pouch type. Furthermore, a battery may refer to a battery bank, battery module, or battery pack in which multiple cells are connected in series and / or parallel. For the sake of convenience of explanation, the term "battery" below is described as referring to a single, independent cell.

[0046] The battery information input unit (110) can be configured to receive battery information regarding the amount of change in volume and the amount of change in active material concentration of the battery during the charging process.

[0047] Specifically, the battery information input unit (110) can receive information regarding the battery during the charging process from an external source.

[0048] The battery information input unit (110) can receive the amount of volume change relative to the time of start of charging during the charging process.

[0049] Additionally, the battery information input unit (110) can receive a change in the concentration of the active material relative to the time of charging start. Here, the battery information input unit (110) may be configured to receive at least one of the change in the internal concentration of the active material and the change in the surface concentration of the active material as the change in the concentration of the active material. That is, the change in the concentration of the active material is a change in the concentration of the internal, external, or internal and external parts of the active material, and represents the concentration of the active material that changes during the charging process.

[0050] For example, assume that the charging start time is t0 and the current time is t1. Here, the current time is the time included in the charging process. The battery information input unit (110) can receive a volume change amount representing the change in volume at time t1 relative to the volume at time t0. Additionally, the battery information input unit (110) can receive an active material concentration change amount representing the change in active material concentration at time t1 relative to the active material concentration at time t0.

[0051] The charging information input unit (120) can be configured to receive charging information regarding the charging C-rate during the charging process.

[0052] Specifically, the charging information input unit (120) can receive information about the charging C-rate, which indicates the charging rate of the battery during the charging process.

[0053] For example, when the battery is charged to the charging C-rate of C1 during the charging process, the charging information input unit (120) can receive charging information for C1.

[0054] As another example, when the charging C-rate changes according to at least one of the battery voltage, SOC, and charging time during the charging process and the battery is charged, the charging information input unit (120) can receive charging information for a plurality of charging C-rates. In this case, the charging information input unit (120) can further receive charging information corresponding to each of the plurality of charging C-rates. For example, the charging information input unit (120) can further receive charging information for at least one of the voltage, SOC, and charging time corresponding to each of the plurality of charging C-rates.

[0055] The output unit (130) may be configured to output preset state information corresponding to the charging C-rate based on the volume change amount and the active material concentration change amount.

[0056] Specifically, the output unit (130) can receive a volume change amount, an active material concentration change amount, and a charging C-rate. The output unit (130) can output preset state information corresponding to the input information. Here, the preset state information may include a state value or profile representing the state of the battery.

[0057] For example, the output unit (130) can output a state value for at least one of the battery's positive electrode capacity loss amount (LAMp, loss of active material in positive electrode), negative electrode capacity loss amount (LAMn, loss of active material in negative electrode), and available lithium loss amount (LLI, loss of lithium inventory) as a state of the battery corresponding to the volume change amount, the active material concentration change amount, and the charging C-rate.

[0058] Here, positive capacity loss refers to the decrease in the current state of the battery's positive capacity relative to the positive capacity of the battery in the BOL (Beginning of Life) state. Similarly, negative capacity loss refers to the decrease in the current state of the battery's negative capacity relative to the negative capacity of the battery in the BOL state. Additionally, available lithium loss refers to the decrease in the amount of available lithium in the current state of the battery relative to the amount of available lithium in the BOL state.

[0059] In the embodiment of FIG. 2, the output unit (130) can receive battery information (bi) from the battery information input unit (110). Also, the output unit (130) can receive charging information (ci) from the charging information input unit (120). The output unit (130) can determine battery state information (si) based on the battery information (bi) and charging information (ci), and output the determined state information (si).

[0060] FIG. 3 is a schematic diagram illustrating a profile according to an embodiment of the present invention. Specifically, the first profile (P1) of FIG. 3 is a charging time (×10 4 It can be configured to show a corresponding relationship between seconds (units omitted below) and positive capacity loss amount (mAh, units omitted below). The first profile (P1) can be represented as an XY graph in which the X-axis is set as charging time and the Y-axis is set as positive capacity loss amount.

[0061] In the embodiment of FIG. 3, it is assumed that the charging time is 1.5. The output unit (130) can output a positive capacity loss of 1 based on the volume change amount, the active material concentration change amount, and the charging C-rate.

[0062] As another example, the output unit (130) may output a profile for at least one of the positive capacity loss amount, negative capacity loss amount, and available lithium loss amount of the battery. Here, the profile may indicate a change in state value according to charging time. That is, the output unit (130) may output a profile indicating not only the state value of the battery but also the pattern of change in the state value of the battery according to charging time.

[0063] In the embodiment of FIG. 3, the output unit (130) may output the first profile (P1) itself. That is, the output unit (130) may provide information to check the pattern of positive capacity loss for the battery by outputting the first profile (P1) which can check the amount of positive capacity loss per charging time of the battery.

[0064] A battery state estimation model (100) according to one embodiment of the present invention can determine the state of a battery by considering the physicochemical change patterns of the battery during the charging process and output the determined state information. That is, according to the battery state estimation model (100), there is an advantage that the state information of the battery can be determined non-destructively by considering various factors.

[0065]

[0066] Meanwhile, the control unit provided in the battery state estimation model (100) may optionally include a processor, an ASIC (application-specific integrated circuit), another chipset, a logic circuit, a register, a communication modem, a data processing device, etc., known in the art, to execute various control logics performed in the present invention. Additionally, when the control logic is implemented in software, the control unit may be implemented as a set of program modules. In this case, the program modules may be stored in memory and executed by the control unit. The memory may be located inside or outside the control unit and may be connected to the control unit by various well-known means.

[0067] Additionally, the battery state estimation model (100) may further include a storage unit (140). The storage unit (140) may store data or programs necessary for each component of the battery state estimation model (100) to perform operations and functions, or data generated during the process of performing operations and functions. The storage unit (140) is not subject to any special restrictions on its type as long as it is a known information storage means capable of recording, erasing, updating, and reading data. As an example, the information storage means may include RAM, flash memory, ROM, EEPROM, registers, etc. Additionally, the storage unit (140) may store program codes in which processes executable by each component of the battery state estimation model (100) are defined.

[0068]

[0069] The output unit (130) may be configured to determine a target profile corresponding to the charging C-rate among a plurality of preset profiles that correspond to the volume change amount and the active material concentration change amount.

[0070] Specifically, the correspondence between the volume change and the active material concentration change may differ for each charging C-rate. That is, a profile can be independently pre-set for each of multiple charging C-rates.

[0071] For example, the profile can be configured to show a correspondence between charging time and anode capacity loss. That is, for each of a plurality of charging C-rates, a profile showing a correspondence between charging time and anode capacity can be pre-set.

[0072] Additionally, the output unit (130) can determine a target profile corresponding to the charging C-rate of the charging information among a plurality of preset profiles. That is, each of the plurality of profiles can correspond to a different charging C-rate. Accordingly, the output unit (130) can determine a target profile from the plurality of profiles based on the charging information.

[0073] FIG. 4 is a schematic diagram illustrating a plurality of profiles (P1, P2, P3 and P4) according to an embodiment of the present invention. In the embodiment of FIG. 4, the first profile (P1) is a profile corresponding to 0.5C, the second profile (P2) is a profile corresponding to 1C, the third profile (P3) is a profile corresponding to 1.5C, and the fourth profile (P4) is a profile corresponding to 2C. If the charging C-rate of the charging information is 1C, the output unit (130) can determine the second profile (P2) among the plurality of profiles (P1, P2, P3 and P4) as the target profile.

[0074] The output unit (130) can be configured to output status information based on a determined target profile.

[0075] For example, the output unit (130) can determine a battery state value in a target profile and output the determined state value as state information. In the preceding embodiment, the output unit (130) can determine a state value for the positive capacity loss amount of the battery in a second profile (P2) determined as a target profile and output the determined state value as state information.

[0076] As another example, the output unit (130) may output the target profile itself as state information. In the preceding embodiment, the output unit (130) may output the second profile (P2) determined as the target profile as state information.

[0077] A battery state estimation model (100) according to one embodiment of the present invention has the advantage of being able to output the state information of the battery most suitable for charging conditions by considering the charging C-rate.

[0078]

[0079] Meanwhile, the charging information input unit (120) may be configured to receive additional charging information regarding the charging time during the charging process.

[0080] Specifically, the charging information may include information regarding the charging C-rate and the charging time. Referring to FIGS. 3 and 4, the profile shows a correspondence between the charging time and the amount of positive capacity loss. That is, since the corresponding charging time must be determined in order to determine the state value of the battery (the amount of positive capacity loss in FIGS. 3 and 4), the charging information input unit (120) may receive additional charging information regarding the charging time.

[0081] The output unit (130) can be configured to output status information corresponding to the charging time in the target profile.

[0082] Specifically, the output unit (130) can determine the amount of positive capacity loss corresponding to the charging time of the charging information in the target profile and output the determined amount of positive capacity loss as state information.

[0083] In the embodiment of FIG. 4, assuming the target profile is the second profile (P2) and the charging time is 1.5, the output unit (130) can determine the positive capacity loss amount corresponding to the charging time as A2. Then, the output unit (130) can output the determined positive capacity loss amount (A2) as battery status information.

[0084] That is, the battery state estimation model (100) has the advantage of being able to output more accurate state information about the battery by determining the state value of the battery corresponding to the charging C-rate and charging time.

[0085]

[0086] The output unit (130) can be configured to output the amount of positive capacity loss of the battery as state information.

[0087] Generally, active materials undergo repeated contraction and expansion during the charging and discharging process, which can cause cracks to form on the surface and within the anode. When cracks occur in the active material, the reaction surface area for anode capacity decreases due to reasons such as a loss of conductivity or the isolation of parts of the active material, which in turn leads to a reduction in anode capacity. Therefore, changes in the volume of the active material can be used to estimate the amount of anode capacity loss.

[0088] Changes in the volume of the active material indicate the stress applied to the battery at that point in time, and changes in lithium concentration inside or on the surface of the active material may indicate accumulated stress. Therefore, changes in the internal and surface concentrations of the active material can be used to estimate the amount of cathode capacity loss.

[0089] The amount of anode capacity loss can be preset to increase as the corresponding charge C-rate increases.

[0090] As the charging C-rate increases, the mobility of lithium ions increases, electrolyte decomposition accelerates, the internal temperature of the battery rises, and the stress on the battery increases; therefore, the amount of cathode capacity loss may increase.

[0091] Specifically, as the charging C-rate increases, lithium ions must move more rapidly between the anode and cathode. This prevents lithium ions from being evenly inserted into the anode, which can lead to localized precipitation of lithium metal or structural damage. Consequently, structural collapse of the active material in the anode may be induced.

[0092] Furthermore, as the charging C-rate increases, the electrolyte is exposed to higher voltages and temperatures, accelerating the rate of electrolyte decomposition. This can cause electrolyte decomposition products to accumulate on the anode surface, thereby increasing the interfacial resistance between the anode and the electrolyte.

[0093] Furthermore, as the charging C-rate increases, the internal temperature of the battery rises. This promotes irreversible side reactions (e.g., electrolyte decomposition, formation of SEI (Solid Electrolyte Interphase) between the anode and cathode), which can accelerate the degradation of the anode.

[0094] Furthermore, as the charging C-rate increases, physical stress is induced in the cathode material due to the rapid insertion and extraction of lithium ions within the cathode. Since this leads to the formation of microcracks in the cathode, the electrochemical performance of the active material may deteriorate.

[0095] Due to these complex causes, the amount of anode capacity loss can be pre-set to increase as the charging C-rate increases.

[0096] Figure 5 illustrates the correlation between the amount of anode capacity loss according to the charging C-rate. Specifically, Figure 5 shows the correspondence between the charging capacity and the amount of anode capacity loss during the charging process at 0.5C, 1C, and 1.5C, respectively. Referring to Figure 5, it can be seen that as the charging C-rate increases, the amount of anode capacity loss relative to the charging capacity also increases. For example, at the same charging capacity, the amount of anode capacity loss corresponding to 0.5C is less than or equal to the amount of anode capacity loss corresponding to 1C. Furthermore, at the same charging capacity, the amount of anode capacity loss corresponding to 1C is less than or equal to the amount of anode capacity loss corresponding to 1.5C.

[0097] The battery state estimation model (100) can more accurately estimate the state of the battery by considering the characteristic that the amount of positive capacity loss increases as the charging C-rate increases.

[0098]

[0099] FIG. 6 is a schematic diagram illustrating a battery diagnostic device (200) according to another embodiment of the present invention. FIG. 7 is a diagram illustrating an exemplary configuration of a battery diagnostic device (200) according to another embodiment of the present invention.

[0100] Referring to FIG. 6, the battery diagnostic device (200) may include a battery state estimation model (100), an information acquisition unit (210), and a control unit (220) according to one embodiment of the present invention.

[0101] The information acquisition unit (210) can be configured to acquire battery information and charging information.

[0102] Specifically, the information acquisition unit (210) may be connected via wired and / or wireless means to communicate with an external device (300). Additionally, the information acquisition unit (210) may receive battery information and charging information from the external device (300). For example, the information acquisition unit (210) may receive battery information and charging information from one or more external devices (300).

[0103] Additionally, the information acquisition unit (210) may be connected via wired and / or wireless means to communicate with the control unit (220). The information acquisition unit (210) may transmit acquired battery information and charging information to the control unit (220).

[0104] In the embodiment of FIG. 7, the information acquisition unit (210) can receive battery information (bi) and charging information (ci) from an external device (300). Then, the information acquisition unit (210) can transmit the battery information (bi) and charging information (ci) to the control unit (220).

[0105] The control unit (220) can be configured to input battery information and charging information into the battery state estimation model (100).

[0106] Specifically, the control unit (220) can input battery information and charging information received from the information acquisition unit (210) into the battery state estimation model (100).

[0107] In the embodiment of FIG. 7, the control unit (220) can input battery information (bi) to the battery information input unit (110) and input charging information (ci) to the charging information input unit (120).

[0108] The control unit (220) may be configured to diagnose the state of the battery based on state information output from the battery state estimation model (100).

[0109] Specifically, the control unit (220) can receive battery status information from the battery status estimation model (100). And, the control unit (220) can diagnose the battery status based on the status information.

[0110] In one embodiment, if the state information output from the battery state estimation model (100) is a state value, the control unit (220) can diagnose the received state information as the state of the battery. For example, if the state information is a value representing the amount of positive capacity loss of the battery, the control unit (220) can diagnose the state related to the positive capacity loss of the battery.

[0111] In another embodiment, if the state information output from the battery state estimation model (100) is a profile, the control unit (220) can diagnose the state of the battery based on the received state information. For example, the control unit (220) can determine the amount of positive capacity loss corresponding to a target time point in the profile and diagnose the determined amount of positive capacity loss as the state of the battery for the target time point.

[0112] In the embodiment of FIG. 7, the control unit (220) can receive battery status information (si) from the output unit (130). And, the control unit (220) can diagnose the state of the battery based on the status information (si).

[0113]

[0114] The control unit (220) can be configured to compare state information with a preset threshold value.

[0115] Here, if the state information is a state value, the control unit (220) can directly compare the state value with a threshold value. Conversely, if the state information is a profile, the control unit (220) can directly compare the state value determined from the profile with a threshold value.

[0116] Specifically, the control unit (220) can compare the magnitude of the state value and the threshold value. Here, the threshold value may be pre-set as a criterion for distinguishing the state of the battery as normal or abnormal. Preferably, the threshold value may be pre-set experimentally and / or theoretically.

[0117] The control unit (220) may be configured to diagnose the condition of the battery based on the comparison result.

[0118] Specifically, the state value indicates the amount of loss. Therefore, if the state value is below a threshold value, the control unit (220) can diagnose the state of the battery as normal. That is, although some components of the battery (positive electrode, negative electrode, or available lithium) have been lost, the amount of loss is not large, so the state of the battery can be diagnosed as normal.

[0119] If the state value exceeds the threshold value, the control unit (220) can diagnose the state of the battery as abnormal. That is, because some components of the battery have been lost and the amount of loss is large enough to exceed the threshold value, the state of the battery can be diagnosed as abnormal.

[0120] The battery diagnostic device (200) according to the present invention has the advantage of being able to diagnose the state of a battery by considering various factors by determining the state information of the battery based on battery information and charging information.

[0121]

[0122] Meanwhile, the information acquisition unit (210) and / or control unit (220) provided in the battery diagnostic device (200) may optionally include a processor, an application-specific integrated circuit (ASIC), other chipsets, logic circuits, registers, communication modems, data processing devices, etc., known in the art, to execute various control logics performed in the present invention. Additionally, when the control logic is implemented in software, the information acquisition unit (210) and / or control unit (220) may be implemented as a set of program modules. In this case, the program modules may be stored in memory and executed by the information acquisition unit (210) and / or control unit (220). The memory may be located inside or outside the information acquisition unit (210) and / or control unit (220) and may be connected to the information acquisition unit (210) and / or control unit (220) by various well-known means.

[0123] Additionally, the battery diagnostic device (200) may further include a storage unit (230). The storage unit (230) may store data or programs necessary for each component of the battery diagnostic device (200) to perform operations and functions, or data generated during the process of performing operations and functions. The storage unit (230) is not limited in its type as long as it is a known information storage means known to be capable of recording, erasing, updating, and reading data. As an example, the information storage means may include RAM, flash memory, ROM, EEPROM, registers, etc. Additionally, the storage unit (230) may store program codes that define processes executable by each component of the battery diagnostic device (200).

[0124]

[0125] The battery diagnostic device (200) according to the present invention may be applied to a Battery Management System (BMS). That is, the BMS according to the present invention may include the battery diagnostic device (200) described above. In this configuration, at least some of the components of the battery diagnostic device (200) may be implemented by supplementing or adding the functions of the components included in a conventional BMS. For example, the battery state estimation model (100), information acquisition unit (210), control unit (220), and storage unit (230) of the battery diagnostic device (200) may be implemented as components of the BMS.

[0126] In one embodiment, the battery diagnostic device (200) can control the charging and / or discharging of the battery based on the diagnostic results of the battery. That is, the control unit (220) can control the charging and / or discharging of the battery by utilizing the diagnostic results so that the charging and / or discharging of the battery can proceed in an optimized manner.

[0127] In another embodiment, the battery diagnostic device (200) may change various state conditions set for the battery based on the battery diagnostic results to prevent further degradation of the battery. For example, the control unit (220) may set at least one of the battery's upper charge limit SOC, upper charge limit voltage, upper charge limit C-rate, lower discharge limit SOC, lower discharge limit voltage, upper discharge limit C-rate, and upper limit temperature. For convenience of explanation, the state conditions that can be set by the battery diagnostic device (200) have been listed above, but it should be noted that any state condition that can be set using the battery diagnostic results to delay battery degradation may be applied without limitation.

[0128]

[0129]

[0130] In addition, the battery diagnostic device (200) according to the present invention may be provided in a battery pack. That is, the battery pack according to the present invention may include the battery diagnostic device (200) described above and one or more battery cells. In addition, the battery pack may further include electrical components (relays, fuses, etc.) and a case, etc. For example, the battery diagnostic device (200) may be installed directly in the battery pack. As another example, the battery diagnostic device (200) may be applied to a BMS, and the BMS may be installed in the battery pack.

[0131]

[0132] A server (700) according to another embodiment of the present invention may include a battery diagnostic device (200) according to one embodiment of the present invention.

[0133] For example, the server (700) may be connected to communicate with the outside via wired and / or wireless means. The server (700) may receive battery information and charging information from the outside and store the received battery information and charging information. Additionally, the server (700) may update the battery information and charging information periodically or non-periodically.

[0134] The server (700) can diagnose the state of the battery based on battery information and charging information, and store the diagnosis results. Additionally, if there is an external request or a specific event occurs, the server (700) can provide the diagnosis results.

[0135] FIG. 8 is a schematic diagram illustrating a server (700) according to another embodiment of the present invention. In the embodiment of FIG. 8, the server (700) may be connected to communicate with a plurality of diagnostic request devices (710). For example, the diagnostic request devices (710) may be BMS, diagnostic kits, or user terminals, and any device capable of transmitting battery information (bi) and charging information (ci) to the server (700) may be applied without limitation. For each of the plurality of diagnostic requests, the server (700) may transmit a diagnostic result (dr) based on the received battery information (bi) and charging information (ci).

[0136]

[0137] FIG. 9 is a schematic diagram illustrating a battery diagnostic method according to another embodiment of the present invention.

[0138] Referring to FIG. 9, the battery diagnostic method may include an information acquisition step (S100), an information input step (S200), and a battery status diagnostic step (S300).

[0139] Preferably, each step of the battery diagnostic method can be performed by a battery diagnostic device (200). For convenience of explanation, details that overlap with previously described content will be omitted or briefly explained below.

[0140] The information acquisition step (S100) is a step of acquiring battery information and charging information to be input to a battery state estimation model (100) according to one embodiment of the present invention, and can be performed by an information acquisition unit (210).

[0141] In the embodiment of FIG. 7, the information acquisition unit (210) can receive battery information (bi) and charging information (ci) from the outside. The information acquisition unit (210) can transmit the battery information (bi) and charging information (ci) to the control unit (220).

[0142] The information input step (S200) is a step of inputting battery information and charging information into the battery state estimation model (100), and can be performed by the control unit (220).

[0143] In the embodiment of FIG. 7, the control unit (220) can input battery information (bi) to the battery information input unit (110) and input charging information (ci) to the charging information input unit (120).

[0144] The battery state diagnosis step (S300) is a step of diagnosing the state of the battery based on state information output from the battery state estimation model (100), and can be performed by the control unit (220).

[0145] In the embodiment of FIG. 7, the control unit (220) can receive battery status information (si) from the output unit (130). And, the control unit (220) can diagnose the state of the battery based on the status information (si).

[0146] For example, if the state value of the state information is below a threshold value, the control unit (220) can diagnose the state of the battery as normal. As another example, if the state value of the state information exceeds a threshold value, the control unit (220) can diagnose the state of the battery as abnormal.

[0147]

[0148] The embodiments of the present invention described above are not limited to implementation through devices and methods, but may also be implemented through a program that realizes a function corresponding to the configuration of the embodiments of the present invention or a recording medium on which such a program is recorded. Such implementation can be easily achieved by a person skilled in the art to which the present invention pertains, based on the description of the embodiments described above.

[0149] Another embodiment of the present invention may provide a computer-readable recording medium having a program recorded thereon for executing the various embodiments described above on a computer.

[0150] A program may be implemented as hardware components, software components, and / or a combination of hardware and software components. A program may be executed by any system capable of executing computer-readable instructions.

[0151] Software may include computer programs, code, instructions, or a combination thereof, and may configure a processing unit to operate as desired or command the processing unit independently or collectively.

[0152] Software can be implemented as a computer program containing instructions stored on a computer-readable storage media. Examples of computer-readable storage media include magnetic storage media (e.g., ROM (read-only memory), RAM (random-access memory), floppy disks, hard disks, etc.) and optical reading media (e.g., CD-ROMs, DVDs (Digital Versatile Discs)). Computer-readable storage media can be distributed across networked computer systems, allowing computer-readable code to be stored and executed in a distributed manner. The storage media can be read by a computer, stored in memory, and executed by a processor.

[0153] Computer-readable recording media may be provided in the form of non-transitory recording media. Here, 'non-transitory storage media' simply means that it is a tangible device and does not contain a signal (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently and cases where it is stored temporarily. For example, 'non-transitory storage media' may include a buffer in which data is stored temporarily.

[0154] In addition, the program may be provided by being included in a computer program product. A computer program product may be traded between a seller and a buyer as a product.

[0155] A computer program product may include a software program or a computer-readable recording medium on which the software program is stored. For example, a computer program product may include a product in the form of a software program that is distributed electronically through a manufacturer of an electronic device or an electronic market (e.g., a downloadable application). For electronic distribution, at least a portion of the software program may be stored on a recording medium or temporarily created. In this case, the recording medium may be a server of the manufacturer of the electronic device, a server of the electronic market, or a recording medium of a relay server that temporarily stores the software program.

[0156] Although the present invention has been described above with reference to limited embodiments and drawings, the present invention is not limited thereto, and it is obvious that various modifications and variations are possible within the scope of the technical spirit of the present invention and the equivalent scope of the claims described below by those skilled in the art to which the present invention belongs.

[0157] Furthermore, since the present invention described above allows for various substitutions, modifications, and changes within the scope of the technical concept of the present invention to those skilled in the art without departing from the technical spirit of the present invention, it is not limited by the aforementioned embodiments and attached drawings, but rather all or part of each embodiment may be selectively combined to allow for various modifications.

[0158]

[0159] (Explanation of symbols)

[0160] 100: Battery status estimation model

[0161] 110: Battery Information Input Section

[0162] 120: Charging information input section

[0163] 130: Output section

[0164] 140: Storage section

[0165] 200: Battery Diagnostic Device

[0166] 210: Information Acquisition Unit

[0167] 220: Control Unit

[0168] 230: Storage Unit

Claims

1. A battery information input unit configured to receive battery information regarding the amount of change in volume and the amount of change in active material concentration of the battery during the charging process; A charging information input unit configured to receive charging information regarding the charging C-rate in the above charging process; and A battery state estimation model comprising an output unit configured to output preset state information corresponding to the charging C-rate based on the volume change amount and the active material concentration change amount.

2. In Paragraph 1, The above output unit is, A battery state estimation model configured to output the amount of positive capacity loss of the battery as the above state information.

3. In Paragraph 2, The above anode capacity loss amount is, A battery state estimation model preset to increase as the corresponding charging C-rate increases.

4. In Paragraph 1, The above battery information input unit is, A battery state estimation model configured to receive at least one of the change in internal concentration of the active material and the change in surface concentration of the active material as the change in concentration of the active material.

5. In Paragraph 1, The above output unit is, A battery state estimation model configured to determine a target profile corresponding to the charging C-rate among a plurality of preset profiles corresponding to the volume change amount and the active material concentration change amount, and to output state information based on the determined target profile.

6. In Paragraph 5, The above charging information input unit is, It is configured to receive additional charging information regarding the charging time in the above charging process, and The above output unit is, A battery state estimation model configured to output state information corresponding to the charging time in the above target profile.

7. In Paragraph 5, The above profile is, A battery state estimation model configured to show the correspondence between the charging time and the amount of positive capacity loss during the above charging process.

8. A battery state estimation model according to any one of paragraphs 1 through 7; An information acquisition unit configured to acquire the above battery information and the above charging information; and A battery diagnostic device comprising a control unit configured to input the battery information and the charging information into the battery state estimation model and to diagnose the state of the battery based on the state information output from the battery state estimation model.

9. In Paragraph 8, The above control unit is, A battery diagnostic device configured to compare the above-mentioned status information with a preset threshold value and diagnose the state of the battery based on the comparison result.

10. A server including a battery diagnostic device pursuant to paragraph 8.

11. An information acquisition step for acquiring the battery information and the charging information to be input into a battery state estimation model according to any one of claims 1 to 7; An information input step for inputting the battery information and the charging information into the battery state estimation model; and A battery diagnosis method comprising a battery state diagnosis step for diagnosing the state of a battery based on state information output from the battery state estimation model.

12. An information acquisition step for acquiring the battery information and the charging information to be input into a battery state estimation model according to any one of claims 1 to 7; An information input step for inputting the battery information and the charging information into the battery state estimation model; and A computer-readable recording medium storing a computer program for executing a battery diagnosis method comprising a battery state diagnosis step for diagnosing the state of a battery based on state information output from the battery state estimation model.

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