Battery management device and method
By using information about capacity change ratio and relative difference in the battery management device, the status of multiple batteries is quickly and accurately diagnosed and defective batteries are selected, and the problems of battery deterioration and safety risks in the prior art are solved, and efficient battery control and management are achieved.
Patent Information
- Application Number
- CN202480004304.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2023-07-26
- Filing Date
- 2024-07-16
- Publication Date
- 2025-05-13
AI Technical Summary
The prior art is difficult to quickly and accurately diagnose and select defective batteries, especially in multiple battery packs, resulting in battery deterioration and safety risks.
By using the capacity change ratio (capacity change ratio) and the relative difference value information, a battery management device and method are designed, which includes a reference information storage unit, a capacity information generation unit, a characteristic information calculation unit, a calculation processing unit, and a diagnostic unit, which can quickly and accurately diagnose the status of a plurality of batteries and select defective batteries.
It realizes rapid diagnosis and selection of defective batteries in multiple batteries, provides accurate degradation rate information, improves the effectiveness of battery control and management, and improves the efficiency of battery management processing by differentiating the application scope.
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Figure CN119998673A_ABST
Abstract
Description
Technical Field
[0001] This application is based on and claims the benefit of priority from Korean Patent Application No. 10-2023-0097791 filed in the Korean Intellectual Property Office on July 26, 2023, the disclosure of which is incorporated herein by reference in its entirety.
[0002] The present disclosure relates to a technology for diagnosing and managing a state of a battery, and more particularly, to a battery management apparatus and method for effectively diagnosing a defective battery by using a relative comparison of a capacity change ratio. Background Art
[0003] As the demand for portable electronic products using electricity as a power source (such as laptops, cameras, and mobile phones) is rapidly increasing, and as mobile robots, electric bicycles, electric carts, and electric vehicles are becoming more widely commercialized, research on high-performance secondary batteries that can be repeatedly charged and discharged is being actively conducted.
[0004] Commercialized secondary batteries include nickel-cadmium batteries, nickel-metal hydride batteries, nickel-zinc batteries, and lithium secondary batteries. Among them, lithium secondary batteries have the advantages of free charge and discharge compared with nickel-based secondary batteries and have a very low self-discharge rate, almost no memory effect, and they also have the characteristics of high energy density and high operating voltage, and therefore are more deeply studied than other types of secondary batteries and are more widely used in practical products.
[0005] Recently, secondary batteries are widely used not only for small-sized devices such as portable electronic devices but also for medium- and large-sized devices such as electric vehicles and energy storage systems (ESS).
[0006] In this case, a battery module in which a plurality of electrically connected secondary batteries are stored together in a module case is mainly applied. In addition, in the case where high power or large capacity is required, a battery pack in which a plurality of such battery modules are electrically connected is also applied.
[0007] Secondary battery cells, cell assemblies, battery modules or battery packs (hereinafter collectively referred to as "batteries") are important factors in power efficiency and safety. Therefore, research on BMS (Battery Management System) that monitors the electrical characteristics of batteries and uses the monitoring results to perform feedback control such as charging and discharging is also being actively carried out.
[0008] Unlike fossil fuel-based energy generation methods, secondary cell-based batteries generate energy through electrochemical reactions, and therefore have the problem that they cannot maintain performance at the BOL (Beginning of Life) state as charge and discharge cycles proceed.
[0009] This degradation phenomenon is an inherent phenomenon that occurs when the battery is used, but it can also be affected by manufacturing defects such as process errors, impurity contamination, physical damage (cracks, etc.) and short circuits.
[0010] In this way, as the battery continues to be used (charged and discharged), its usability decreases due to capacity degradation, output degradation, etc., and this degradation also acts as a risk factor in terms of safety. Therefore, in order to control the limited use of degraded batteries, determine the replacement time, or improve the efficiency of battery reuse (or recycling), it is necessary to accurately and quickly diagnose the current battery degradation level and whether it is defective. Summary of the invention
[0011] Technical issues
[0012] The present disclosure is designed to solve the problems of the related art, and therefore the present disclosure aims to provide a battery management device and method, which can quickly and accurately diagnose and select defective batteries by using information about the capacity change (capacity change ratio) of each of a plurality of batteries and the relative difference therebetween.
[0013] The technical problems that the present disclosure attempts to solve are not limited to the above-mentioned problems, and other problems not mentioned will be clearly understood by those skilled in the art from the description of the present invention described below.
[0014] Technical Solution
[0015] A battery management device according to one aspect of the present disclosure may include: a reference information storage unit configured to store reference capacity information of a reference battery; a capacity information generation unit configured to generate capacity information of each of a plurality of batteries; a characteristic information calculation unit configured to calculate a capacity change ratio, which is a ratio of the capacity information of each of the plurality of batteries to the reference capacity information; a calculation processing unit configured to calculate a relative difference of a plurality of capacity change ratios; and a diagnosis unit configured to diagnose the status of the plurality of batteries using the calculation results of the calculation processing unit.
[0016] The diagnosis unit may be configured to diagnose normal cells and defective cells among the plurality of cells using the calculation result.
[0017] The battery management device according to another aspect of the present disclosure may further include a management control unit configured to control charging and discharging of the defective battery to be restricted.
[0018] The diagnosis unit may be configured to generate degradation rate information of at least one battery among the plurality of batteries using the calculation result.
[0019] The battery management device according to still another aspect of the present disclosure may further include a management control unit configured to control at least one battery among the plurality of batteries so that a charging range and a discharging range are differently limited according to the degradation rate information.
[0020] The calculation processing unit may be configured to perform weight calculation on a difference calculation result between an average value of the plurality of capacity change ratios and the respective capacity change ratios.
[0021] The calculation processing unit may be configured to calculate statistical deviation values of a plurality of capacity change ratios.
[0022] The diagnosis unit may be configured to further diagnose degradation imbalance of the plurality of batteries using the statistical deviation value.
[0023] The characteristic information calculation unit may be configured to calculate a ratio of the capacity information to the reference capacity information as the capacity change ratio.
[0024] A battery pack according to still another aspect of the present disclosure may include the battery management device according to one aspect of the present disclosure.
[0025] A vehicle according to still another aspect of the present disclosure may include the battery management device according to one aspect of the present disclosure.
[0026] A battery management method according to another aspect of the present disclosure may include: a reference information storage step, which stores reference capacity information of a reference battery; a capacity information generation step, which generates capacity information of each of a plurality of batteries; a characteristic information calculation step, which calculates a capacity change ratio, which is a ratio of the capacity information of each of a plurality of batteries to the reference capacity information; a calculation processing step, which calculates relative differences of a plurality of capacity change ratios; and a diagnosis step, which uses the calculation results of the calculation processing step to diagnose the status of a plurality of batteries.
[0027] Beneficial Effects
[0028] According to the present disclosure, there is an advantage in that a defective battery can be quickly diagnosed from a plurality of batteries based on data related to capacity reduction. In addition, according to the present disclosure, degradation rate information of a defective battery can be quickly and accurately provided.
[0029] In addition, since the diagnostic method of the present disclosure can be implemented by software that can be installed in a BMS or the like or a module that executes the same, higher scalability can be provided.
[0030] According to one aspect of the present disclosure, since it is possible to accurately diagnose whether an object (eg, a battery pack) applied to actual application equipment (eg, a vehicle, ESS, etc.) is degraded and / or whether there is a degradation imbalance, the effectiveness of battery control and management can be improved.
[0031] In addition, with the present disclosure, the efficiency of the battery management process can be further improved by differently applying the usage constraint ranges of a plurality of batteries according to the capacity change ratio or the degradation rate information. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] The accompanying drawings illustrate preferred embodiments of the present disclosure and, together with the foregoing disclosure, serve to provide a further understanding of the technical features of the present disclosure, and therefore, the present disclosure is not to be construed as being limited to the accompanying drawings.
[0033] Figure 1 is a block diagram illustrating a detailed configuration of a battery management device according to an embodiment of the present disclosure.
[0034] Figure 2 is a flowchart illustrating a processing procedure according to an embodiment of the present disclosure.
[0035] Figure 3 is a flowchart illustrating a processing procedure according to another embodiment of the present disclosure.
[0036] Figure 4 is a diagram showing an example of a QV curve of a target battery.
[0037] Figure 5 It is a graph comparing the QV curves of the reference battery and the target battery.
[0038] Figure 6 It is a diagram for explaining the first embodiment of the capacity change ratio of each of a plurality of batteries.
[0039] Figure 7 It is a diagram for explaining the second embodiment of the capacity change ratio of each of a plurality of batteries.
[0040] Figure 8 : is a diagram illustrating an example of the distribution of deviation values generated using the capacity change ratio. DETAILED DESCRIPTION
[0041] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Before the description, it should be understood that the terms used in the specification and the appended claims should not be construed as being limited to the general meaning and dictionary meaning, but are interpreted based on the meaning and concept corresponding to the technical aspects of the present disclosure, based on the principle that the inventor is allowed to appropriately define the terms for the best description.
[0042] Therefore, the descriptions presented herein are merely preferred examples for illustrative purposes, and are not intended to limit the scope of the present disclosure, and it should be appreciated that other equivalents and modifications may be made thereto without departing from the scope of the present disclosure.
[0043] Furthermore, in describing the present disclosure, when a detailed description of related known elements or functions is deemed to obscure the key subject matter of the present disclosure, the detailed description is omitted herein.
[0044] Throughout the specification, when a part is referred to as “including” or “comprising” any elements, it means that the part may further include other elements, without excluding the other elements, unless specifically stated otherwise.
[0045] In addition, a term such as a processor described in the specification means a unit that processes at least one function or operation, which can be implemented by hardware, software, or a combination of hardware and software.
[0046] Furthermore, throughout the specification, when a part is referred to as being “connected” to another part, it is not limited to the case where they are “directly connected” but also includes the case where they are “indirectly connected” with another element interposed therebetween.
[0047] Figure 1 is a block diagram showing a detailed configuration of a battery management device 100 according to an embodiment of the present disclosure, and Figure 2 is a flowchart illustrating a processing procedure according to an embodiment of the present disclosure.
[0048] like Figure 1 As shown, the battery management device 100 of the present disclosure can be configured to include a reference information storage unit 110, a measuring unit 120, a capacity information generating unit 130, a characteristic information calculating unit 140, a calculation processing unit 150, a diagnosis unit 160, a management control unit 170 and an information sharing unit 180.
[0049] Before entering into the detailed description of the present disclosure, the battery management device 100 according to the present disclosure can be implemented by various combined applications of electronic devices, components, etc., such as storage devices, computing processing devices, input / output devices, etc. Therefore, Figure 1 Each component of the battery management device 100 shown in FIG. 1 should be understood as a functionally or logically distinct component rather than a physically distinct component.
[0050] That is, since each component depicted in the drawings corresponds to a logical structure for effectively illustrating the technical idea of the present disclosure, even if each component is configured to be integrated or separately configured, if the function performed by the logical structure of the present disclosure can be implemented, it should be interpreted as being within the scope of the present disclosure, and if it is a component that performs the same or similar function, it should certainly be interpreted as being within the scope of the present disclosure, regardless of the consistency of its name.
[0051] In addition, the battery diagnosis or management method of the present disclosure may be implemented as a set or algorithm for processing data, handling, control, operation, input / output, etc., and thus, it may be implemented by Figure 1 The present invention is implemented by a combination of the logical structures shown in the figure, and is implemented in the form of software installed and operated in a system, a device, a computer (or a device equivalent thereto), a BMS, a module or its lower level components.
[0052] The battery management apparatus 100 according to the present disclosure may be configured to detect or diagnose normal batteries and defective batteries targeting multiple batteries 10. According to an embodiment, the battery management apparatus 100 may be configured to generate and output diagnostic data of multiple batteries 10 for organically linking with other configurations or modules / devices.
[0053] Here, the defective battery BB refers to a battery having a relatively high degree of deterioration compared with other batteries, or failing to exhibit designed operating performance due to process error, physical damage, or the like.
[0054] From a corresponding perspective, a normal battery NB refers to a battery having characteristics opposite to those of a defective battery BB and having the same or similar level of driving performance (degradation level, etc.) as other batteries. Alternatively, a normal battery NB refers to a battery that achieves normal driving performance corresponding to the design specification (taking into account the error range). Here, the normal driving performance does not mean the driving performance of the BOL (Beginning of Life) state, but may mean the driving performance expressed at a degradation level within a normal range according to the number or degree of use while undergoing a normal degradation process.
[0055] For example, in Figure 1 In the embodiment of the present invention, the battery management device 100 can diagnose and manage multiple batteries 10. For example, the battery management device 100 can diagnose and manage k batteries, where k is a natural number greater than or equal to 2.
[0056] In addition, Figure 1 In the embodiment, the plurality of batteries 10 may be a single cell or a cell assembly having a plurality of cells connected in series and / or in parallel.
[0057] The measurement unit 120 is configured to measure electrical characteristic values (voltage, current, temperature, resistance, etc.) of a battery as a target of diagnosis (hereinafter referred to as a “target battery”) during a charging or discharging process ( S210 ).
[0058] When the electrical characteristic values of the target battery are measured in this manner, the capacity information generating unit 130 of the present disclosure is configured to generate capacity information of each of the plurality of batteries 10 using the measured electrical characteristic values (voltage, current, temperature, resistance, charge / discharge rate (C rate), etc.) ( S220 ).
[0059] If the capacity information is generated during the charging process, the capacity information may be a full charge capacity according to full charge of the battery, and if the capacity information is generated during the discharging process, the capacity information may be a full discharge capacity according to full discharge of the battery.
[0060] Capacity information is information or data that can represent the performance or degradation level of a battery, and has behavioral characteristics that decrease depending on the number of times the battery is used, the charging / discharging conditions, the usage environment, etc., and can be generated by various methods, such as estimation based on the voltage increase rate, current integration method, and comparison of a reference curve and a charging / discharging curve.
[0061] Figure 4 : is a diagram showing an example of a QV curve M representing the relationship between an electrical characteristic value (voltage, V) generated for a target battery and capacity information estimated or generated to correspond thereto. Here, the QV curve M is a curve representing the corresponding relationship between the capacity and voltage of the target battery.
[0062] Figure 4 The QV curve is a curve generated during the charging process, and Figure 4 The capacity (Ah or mAh) at the point marked as A in FIG. 1 corresponds to the capacity information according to full charge of the target battery, that is, the capacity information. Figure 4 It is intended only to increase the ease of understanding and efficiency of explanation, so it goes without saying that capacity information can be generated in the form of quantitative data (such as numbers) rather than using graphical elements, etc. Figure 4 The entire curve process.
[0063] When generating the capacity information of the target battery, the characteristic information calculation unit 140 generates a capacity change ratio (Cs), which is a ratio of the capacity information to the reference capacity information, for each of the plurality of batteries 10 ( S230 ).
[0064] Here, the reference battery is a battery having a size or specification equal to that of the battery to be diagnosed, and may be a battery in a BOL (beginning of life) state or a simulated ideal battery for relative comparison with the target battery. The reference capacity information is capacity information of the reference battery, and may be pre-stored (S200) in the reference information storage unit 110 of the present disclosure, etc., depending on the embodiment.
[0065] The capacity change ratio (Cs) may be a ratio between reference capacity information of the reference battery and capacity information of the target battery or equivalent information, as shown in the following formula.
[0066] [Formula 1]
[0067]
[0068] In Formula 1, Q T is the capacity information of the target battery, and Q R is the reference capacity information of the reference battery. That is, the characteristic information calculation unit 140 can convert the capacity information (Q T ) and reference capacity information (Q R ) was calculated as the capacity change ratio (Cs).
[0069] The capacity change ratio (Cs) is a relative comparison between reference capacity information at the current time point and capacity information of the target battery, so it goes without saying that the parameters set in the numerator and denominator of Formula 1 may be configured oppositely depending on the embodiment.
[0070] like Figure 5 As shown, Figure 5 It is a graph comparing the QV curve R of the reference battery and the QV curve M of the target battery, with reference capacity information (Q R ) can be Figure 5 The capacity of the point indicated as "B" in the figure, and the capacity information (Q T ) can be Figure 5 The capacity of the point indicated as "A" in the figure.
[0071] According to Formula 1, the capacity change ratio (Cs) of the reference battery is 100%, and as aging or degradation increases, the reduction in capacity increases, so the value of the capacity change ratio (Cs) gradually decreases. If the numerator and denominator of Formula 1 are reversely configured to define the capacity change ratio (Cs), the capacity change ratio (Cs) of the target battery with severe aging becomes greater than the capacity change ratio (Cs) of the target battery with relatively little aging.
[0072] As described above, the capacity change ratio (Cs) is an indicator of the degree of degradation of the target battery. As the degree of degradation increases, its size decreases. Therefore, the size of the capacity change ratio (Cs) itself (based on Formula 1) can be an important parameter for diagnosing the degree of degradation of the target battery.
[0073] As described above, batteries used in application equipment (electric vehicles, ESS, etc.) are generally composed of a plurality of cells 10 such as Figure 1 The illustrated grouping form is formed. If there is a large deviation in the degree of aging among the grouped batteries, collective performance degradation may occur in which the overall performance of the grouped batteries degrades to the level of the battery with the most severe performance degradation.
[0074] In this regard, it is desirable to configure the defective battery BB to be selected among the plurality of batteries 10 based on the relative difference in the degree of degradation, i.e., the relative difference in the capacity change ratio (Cs), and thus the calculation processing unit 150 may be configured to calculate the relative differences of the plurality of capacity change ratios (Cs) (S240).
[0075] As a method for calculating the relative difference, a method for relatively comparing the capacity change ratio (Cs) itself may be applied. In addition, a method for calculating the difference between an average value of a plurality of capacity change ratios (Cs) and each capacity change ratio (Cs), or a method for calculating a weight on a difference calculation result proportional to the size of the difference calculation result on a function may be applied (S241).
[0076] When this weight calculation is applied, it is possible to provide an advantage of more clearly distinguishing between a normal battery NB whose capacity variation ratio (Cs) falls within the average value range and a defective battery BB whose capacity variation ratio (Cs) falls outside the average value range.
[0077] When the relative differences of the plurality of capacity change ratios (Cs) are calculated in this manner ( S240 ), the diagnosis unit 160 diagnoses the states of the plurality of batteries 10 using the calculation results of the calculation processing unit 150 ( S250 ).
[0078] Figure 6 1 is a diagram illustrating a first embodiment of a capacity change ratio (Cs) of each of a plurality of batteries. Specifically, Figure 6 1 is a diagram illustrating the first embodiment of the capacity change ratios (Cs) of ten batteries having reference numerals 11 to 20 .
[0079] exist Figure 6 In the embodiment of the present invention, the batteries (reference numerals 12, 19) included in group 2 exhibit a relatively low capacity change ratio (Cs) compared to the batteries (reference numerals 11, 13-18, 20) included in group 1. Therefore, the diagnosis unit 160 may diagnose the batteries (reference numerals 12, 19) included in group 2 as defective batteries BB (S251). In addition, the capacity change ratios (Cs) of the batteries (reference numerals 11, 13-18, 20) included in group 1 form a distribution with a small deviation from the average value. Therefore, the diagnosis unit 160 may diagnose the batteries (reference numerals 11, 13-18, 20) included in group 1 as normal batteries NB (S251).
[0080] Figure 7 is a diagram illustrating a second embodiment of the capacity change ratio (Cs) of each of a plurality of batteries. Specifically, Figure 7 is a diagram illustrating a second embodiment of the capacity change ratios (Cs) of ten batteries having reference numerals 57 to 66 .
[0081] exist Figure 7 In the case of , only battery number 57 has a capacity change ratio (Cs) relatively different from the capacity change ratios of other batteries (reference numerals 58-66). Therefore, the diagnosis unit 160 can diagnose battery number 57 as a defective battery BB, and all batteries included in group 3 (reference numerals 58-66) can be diagnosed as normal batteries NB.
[0082] Figure 8 It is shown based on Figure 6 The diagram shows the result of performing weight calculation (square of the difference calculation result value) on the difference calculation result between the average value of the plurality of capacity change ratios (Cs) and the respective capacity change ratios (Cs) for the plurality of capacity change ratios (Cs) of the plurality of batteries.
[0083] refer to Figure 8 , when performing a square or exponential function such as a deviation value (the difference between the average value of the capacity change ratio and the individual capacity change ratios) (for example, f(x)=2 x , where x is the deviation value (absolute value)), when the weight is calculated, compared with the value of the normal battery NB, the value of the defective battery BB can be expressed more clearly, so that the solution for distinguishing defective batteries BB can be implemented more accurately.
[0084] When the defective battery BB is diagnosed by the diagnosis unit 160 , the management control unit 170 may exclude the defective battery BB from the charging and discharging process or control the charging and discharging of the defective battery BB to be limited to a specific range ( S260 ).
[0085] Figure 3 is a flowchart illustrating a processing procedure according to another embodiment of the present disclosure.
[0086] As described above, when diagnosing the states of a plurality of batteries ( S300 ) and selecting a normal battery NB and a defective battery BB accordingly ( S310 ), the diagnosis unit 160 may be configured to generate degradation rate information of the defective battery BB using the capacity change ratio (Cs) ( S320 ).
[0087] When the degradation rate information of the defective battery BB and the like is generated and input to the management control unit 170, the management control unit 170 may limit the charging and discharging range of the defective battery BB. In addition, the management control unit 170 may control the charging and discharging range of the defective battery BB to be differently limited according to the degradation rate information, such as by making the limitation of the charging and discharging range relatively large in the case where the defective battery BB has relatively large degradation rate information (S330).
[0088] According to an embodiment, the reference information storage unit 110 may be configured to further store identification information of a plurality of batteries 10 and / or attribute information including the identification information of the batteries 10 .
[0089] In this case, the information sharing unit 180 may be configured to generate status information including identification information of the plurality of batteries 10 , defect information or degradation rate information of the corresponding batteries, etc., and output them to a user terminal or information system of the vehicle ( S340 ).
[0090] Furthermore, when a plurality of capacity change ratios (Cs) of a plurality of batteries 10 are generated as described above, the calculation processing unit 150 may calculate statistical deviation values (variance value, standard deviation value, etc.) of the plurality of capacity change ratios (Cs).
[0091] Since the statistical variation value is generated using the capacity variation ratio (Cs) of each of the plurality of batteries 10 , the statistical variation value becomes information indicating the properties of the plurality of batteries 10 .
[0092] When the statistical deviation value is generated in this manner, the diagnosis unit 160 may additionally diagnose degradation imbalance of the plurality of batteries 10 using the statistical deviation value.
[0093] A relatively large statistical deviation value (compared to a reference value or the like) means that there is a large deviation in the degradation of the plurality of batteries 10. In other words, a relatively large statistical deviation value means that the degradation is unbalanced or uneven among the plurality of batteries 10. Conversely, a relatively small statistical deviation value means that the degradation of the plurality of batteries 10 is uniform.
[0094] In this way, in the case of the present disclosure, the presence and degree of degradation imbalance of the upper aggregate such as a group or module are diagnosed, so that subsequent processing or operations such as limiting the use of the target group or module, excluding charging and discharging, and determining the replacement time can be more effectively caused.
[0095] In addition, the battery management device 100 according to the present disclosure may be applied to a battery management system (BMS). That is, the BMS according to the present disclosure may include the above-mentioned battery management device 100. In this configuration, at least some of the components of the battery management device 100 may be implemented by supplementing or adding functions of the configuration included in the conventional BMS.
[0096] The battery management device 100 according to the present disclosure may be provided in a battery pack. That is, the battery pack according to the present disclosure may include the battery management device 100 and a plurality of batteries 10, etc.
[0097] In addition, the battery management device 100 according to the present disclosure may be equipped in a vehicle such as an electric vehicle or a hybrid vehicle. That is, the vehicle according to the present disclosure may include the battery management device according to the present disclosure or the battery pack according to the present disclosure. In addition, in addition to the battery management device or the battery pack, the vehicle according to the present disclosure may also include various other components included in the vehicle. For example, in addition to the device according to the present disclosure, the vehicle according to the present disclosure may also include a vehicle body, a motor, a control device (such as an ECU (electronic control unit)), etc.
[0098] The present disclosure has been described in detail. However, while indicating preferred embodiments of the present disclosure, the detailed description and specific examples are given by way of illustration only, since various changes and modifications within the scope of the present disclosure will become apparent to those skilled in the art from this detailed description.
[0099] For the purpose of explaining the present disclosure and showing examples thereof, the drawings and the like may be shown in a somewhat exaggerated form in order to emphasize or highlight the technical content of the present disclosure. However, it should be explained that, obviously, various modified application examples are possible at the level of those skilled in the art by considering the previously described contents and matters shown in the drawings.
[0100] Furthermore, it is apparent that in the description of the present disclosure, expressions such as first, second, upper, lower, or higher and lower are merely instrumental conceptual terms for distinguishing each component (element) relatively from each other, and are not terms for indicating a specific order, priority, etc., or terms for physically distinguishing each component (element) on an absolute basis.
[0101] (Explanation of Reference Numerals)
[0102] 10: Multiple Batteries
[0103] 100: Battery management device
[0104] 110: Reference information storage unit
[0105] 120: Measurement unit
[0106] 130: Capacity information generation unit
[0107] 140: Characteristic information calculation unit
[0108] 150: Computing Processing Unit
[0109] 160: Diagnostic Unit
[0110] 170: Management control unit
[0111] 180: Information Sharing Unit
Claims
1. A battery management device, comprising: a reference information storage unit configured to store reference capacity information of a reference battery; a capacity information generating unit configured to generate capacity information of each of the plurality of batteries; a characteristic information calculation unit configured to calculate a capacity change ratio, the capacity change ratio being a ratio of the capacity information of each of the plurality of batteries to the reference capacity information; a calculation processing unit configured to calculate relative differences of the plurality of capacity change ratios; as well as A diagnosis unit is configured to diagnose the states of the plurality of batteries using the calculation results of the calculation processing unit.
2. The battery management device according to claim 1, in, The diagnosis unit is configured to diagnose normal cells and defective cells among the plurality of cells using the calculation result.
3. The battery management device according to claim 2, further comprising: A management control unit is configured to control charging and discharging of the defective battery to be restricted.
4. The battery management device according to claim 1, in, The diagnosis unit is configured to generate degradation rate information of at least one battery among the plurality of batteries using the calculation result, and The battery management device further includes a management control unit configured to control at least one battery among the plurality of batteries so that a charging range and a discharging range are differently limited according to the degradation rate information.
5. The battery management device according to claim 1, in, The calculation processing unit is configured to perform weight calculation on a difference calculation result between an average value of the plurality of capacity change ratios and each capacity change ratio.
6. The battery management device according to claim 1, in, The calculation processing unit is configured to calculate statistical deviation values of the plurality of capacity change ratios, and The diagnosis unit is configured to further diagnose degradation imbalance of the plurality of batteries using the statistical deviation value.
7. The battery management device according to claim 1, in, The characteristic information calculation unit is configured to calculate a ratio of the capacity information to the reference capacity information as the capacity change ratio.
8. A battery pack comprising the battery management device according to any one of claims 1 to 7.
9. A vehicle comprising the battery management device according to any one of claims 1-7.
10. A battery management method, comprising: a reference information storing step, wherein the reference information storing step stores reference capacity information of a reference battery; a capacity information generating step of generating capacity information of each of the plurality of batteries; a characteristic information calculating step of calculating a capacity change ratio which is a ratio of the capacity information of each of the plurality of batteries to the reference capacity information; a calculation processing step, wherein the calculation processing step calculates relative differences of the plurality of capacity change ratios; as well as a diagnosing step of diagnosing the states of the plurality of batteries using the calculation results of the calculation processing step.
Citation Information
Patent Citations
Method and apparatus for base station energy savings in a wireless communication system
KR1020230097791A