KR20240100195A - Apparatus for managing battery and operating method of the same - Google Patents

Abstract

A battery management device according to an embodiment disclosed in this document includes a voltage measuring unit that measures the voltage of each of a plurality of battery banks, a first value that is the amount of change in voltage during a certain period of each of the plurality of battery banks, and the plurality of batteries. The first value of each of the plurality of battery banks is corrected based on a second value that is the standard deviation of the voltage change amount per unit time for each bank, and the plurality of battery banks are compared to the average value of the corrected first values of the plurality of battery banks. Setting a ranking of each of the plurality of battery banks based on a first reference value, which is the value of each corrected first value, and setting at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks. May include a diagnostic controller.

Description

Battery management device and operating method thereof {APPARATUS FOR MANAGING BATTERY AND OPERATING METHOD OF THE SAME}

Embodiments disclosed herein relate to a battery management device and method of operating the same.

Electric vehicles receive electricity from outside, charge the battery, and then use the voltage charged in the battery to drive the motor to obtain power. Batteries undergo internal transformation and denaturation through various charging and discharging during the production and use stages, and their physical and chemical properties change, which can lead to defects in which lithium ions from the battery's positive electrode are not reduced into the negative electrode but are deposited on the negative electrode surface. If lithium precipitation occurs continuously, an inner short may occur between the battery's cathode and anode, and a battery with an internal short circuit may have an undervoltage defect where the voltage decreases below a certain level or ignite. This may lead to increasing problems. Therefore, a method for diagnosing lithium precipitation in batteries is needed.

The conventional method of diagnosing lithium precipitation phenomenon used the voltage data of the rest period after charging of the battery in which large amounts of lithium precipitation occurred. However, this method only used the method to determine whether the voltage was abnormal because the effect of lithium precipitation on the measured voltage of the battery was minimal. There is a problem that is difficult to solve.

One purpose of the embodiments disclosed in this document is to provide a battery management device and a method of operating the same that can accurately diagnose a battery bank using abnormal behavior of the battery bank's resting voltage.

The technical problems of the embodiments disclosed in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below.

A battery management device according to an embodiment disclosed in this document includes a voltage measuring unit that measures the voltage of each of a plurality of battery banks, a first value that is the amount of change in voltage during a certain period of each of the plurality of battery banks, and the plurality of batteries. The first value of each of the plurality of battery banks is corrected based on a second value that is the standard deviation of the voltage change amount per unit time for each bank, and the plurality of battery banks are compared to the average value of the corrected first values of the plurality of battery banks. Setting a ranking of each of the plurality of battery banks based on a first reference value, which is the value of each corrected first value, and setting at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks. May include a diagnostic controller.

According to one embodiment, the controller sets the first value when the first value of at least one battery bank among the plurality of battery banks is less than a value obtained by multiplying the second value of the at least one battery bank by a lower threshold value. It can be initialized.

According to one embodiment, the controller sets the first value when the first value of at least one battery bank among the plurality of battery banks exceeds a value obtained by multiplying the second value of the at least one battery bank by an upper threshold value. can be changed to the second value.

According to one embodiment, the controller determines that the first value of at least one battery bank among the plurality of battery banks is equal to or greater than the second value of the at least one battery bank multiplied by a lower threshold value, and the second value is If it is less than or equal to the value multiplied by the upper limit threshold, the first value may be accumulated.

According to one embodiment, the controller calculates the average value of the corrected first values of the plurality of battery banks and the maximum value of the second value of each of the plurality of battery banks multiplied by the upper threshold value for each of the plurality of battery banks. The corrected first value of can be calculated as the first reference value for each of the plurality of battery banks.

According to one embodiment, the controller sets the ranking of the plurality of battery banks according to the order in which the first reference value is higher, and the first battery bank is ranked first among the plurality of battery banks, and the second battery bank is ranked second. 2 battery bank and the third battery bank, which is the last priority, can be determined.

According to one embodiment, the controller calculates a first deviation that is the difference between the first reference value of the first battery bank and the first reference value of the second battery bank, and calculates the first reference value of the second battery bank and the first reference value of the second battery bank. 3 A second deviation, which is the difference between the first reference values of the battery bank, can be calculated, and the first battery bank can be diagnosed based on the second reference value, which is the value of the first deviation compared to the second deviation.

According to one embodiment, the controller diagnoses the first battery bank when the first reference value of the first battery bank exceeds the first threshold and the second reference value of the first battery bank exceeds the second threshold. can do.

A method of operating a battery management device according to an embodiment disclosed in this document includes measuring the voltage of each of a plurality of battery banks and calculating a first value that is the amount of change in voltage during a certain period of each of the plurality of battery banks. , calculating a second value that is a standard deviation of the amount of voltage change per unit time for each of the plurality of battery banks, based on the first value and the second value of each of the plurality of battery banks, the first value of each of the plurality of battery banks Correcting the value, setting a ranking of each of the plurality of battery banks based on a first reference value, which is a value of the corrected first value of each of the plurality of battery banks compared to the average value of the corrected first values of the plurality of battery banks. and diagnosing at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks.

According to one embodiment, the step of correcting the first value of each of the plurality of battery banks based on the first value and the second value of each of the plurality of battery banks includes: If the first value is less than a value obtained by multiplying the second value of the at least one battery bank by a lower limit threshold, the first value may be initialized.

According to one embodiment, the step of correcting the first value of each of the plurality of battery banks based on the first value and the second value of each of the plurality of battery banks includes: If the first value exceeds a value obtained by multiplying the second value of the at least one battery bank by an upper threshold value, the first value may be changed to the second value.

According to one embodiment, the step of correcting the first value of each of the plurality of battery banks based on the first value and the second value of each of the plurality of battery banks includes: When the first value is greater than or equal to a value obtained by multiplying the second value of the at least one battery bank by a lower limit threshold and less than or equal to a value obtained by multiplying the second value by an upper limit threshold, the first value may be accumulated.

According to one embodiment, the ranking of each of the plurality of battery banks is set based on a first reference value, which is a value of the corrected first value of each of the plurality of battery banks compared to the average value of the corrected first values of the plurality of battery banks. The step of calculating the corrected first value of each of the plurality of battery banks relative to the maximum value of the average value of the corrected first values of the plurality of battery banks and the value obtained by multiplying the second value of each of the plurality of battery banks by an upper threshold value. can be calculated as the first reference value for each of the plurality of battery banks.

According to one embodiment, the ranking of each of the plurality of battery banks is set based on a first reference value, which is a value of the corrected first value of each of the plurality of battery banks compared to the average value of the corrected first values of the plurality of battery banks. The step is to rank the plurality of battery banks according to the order in which the first reference value is higher, and among the plurality of battery banks, the first battery bank is ranked first, the second battery bank is ranked second, and the battery bank is ranked last. The third battery bank can be determined.

According to one embodiment, the step of diagnosing at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks includes a first reference value of the first battery bank and a first reference value of the second battery bank. 1 Calculate a first deviation that is the difference between the reference values, calculate a second deviation that is the difference between the first reference value of the second battery bank and the first reference value of the third battery bank, and calculate the first deviation compared to the second deviation. The first battery bank can be diagnosed based on the second reference value, which is the value of .

According to one embodiment, the step of diagnosing at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks includes: a first reference value of the first battery bank exceeds a first threshold, When the second reference value of the first battery bank exceeds the second threshold, the first battery bank may be diagnosed.

According to the battery management device and its operating method according to an embodiment disclosed in this document, the battery bank can be accurately diagnosed using the abnormal behavior of the battery bank's resting voltage.

1 is a diagram showing a battery pack according to an embodiment disclosed in this document.
Figure 2 is a block diagram showing the configuration of a battery management device according to an embodiment disclosed in this document.
FIG. 3 is a graph showing a voltage change in a resting period of a battery bank according to an embodiment disclosed in this document.
FIG. 4 is a graph showing a change in the first value of a battery bank according to an embodiment disclosed in this document.
FIG. 5 is a graph showing a change in a second value of a battery bank according to an embodiment disclosed in this document.
Figure 6 is a graph showing a change in the first reference value of a battery bank according to an embodiment disclosed in this document.
Figure 7 is a flowchart showing a method of diagnosing a battery bank of a controller according to an embodiment disclosed in this document.
Figure 8 is a flowchart showing a method of operating a battery management device according to an embodiment disclosed in this document.
Figure 9 is a block diagram showing the hardware configuration of a computing system that implements a method of operating a battery management device according to an embodiment disclosed in this document.

Hereinafter, some embodiments disclosed in this document will be described in detail through illustrative drawings. When adding reference numerals to components in each drawing, it should be noted that identical components are given the same reference numerals as much as possible even if they are shown in different drawings. Additionally, in describing the embodiments disclosed in this document, if it is determined that detailed descriptions of related known configurations or functions impede understanding of the embodiments disclosed in this document, the detailed descriptions will be omitted.

In describing the components of the embodiment disclosed in this document, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only used to distinguish the component from other components, and the nature, sequence, or order of the component is not limited by the term. Additionally, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the technical field to which the embodiments disclosed in this document belong. . Terms as defined in commonly used dictionaries should be interpreted as having meanings consistent with the meanings they have in the context of the related technology, and unless explicitly defined in this document, should not be interpreted in an idealized or overly formal sense. No.

1 is a diagram showing a battery pack according to an embodiment disclosed in this document.

Referring to FIG. 1, a battery pack 1000 according to an embodiment disclosed in this document may include a battery module 100, a battery management device 200, and a relay 300. According to various embodiments, the battery module 100 may be a battery cell, and in this case, the battery pack 1000 may have a cell to pack structure.

Although only one battery module 100 is shown in FIG. 1, the battery pack 1000 may have a stacked structure of multiple battery modules. The battery module 100 may include a plurality of battery banks 110, 120, 130, and 140. Although FIG. 1 shows a plurality of four battery banks, the present invention is not limited thereto, and the battery module 100 may be configured to include n (n is a natural number of 2 or more) battery banks.

The battery module 100 may supply power to a target device (not shown). To this end, the battery module 100 may be electrically connected to the target device. Here, the target device may include an electrical, electronic, or mechanical device that operates by receiving power from the battery pack 1000 including the battery module 100. For example, the target device may include an electric vehicle (EV). ) or an energy storage system (ESS), but is not limited thereto.

The battery module 100 may include a plurality of battery banks 110, 120, 130, and 140. Here, the battery bank can be defined as one serial line composed of a plurality of battery cells within the battery module 100. Depending on the embodiment, a plurality of battery banks 110, 120, 130, and 140 may be connected in series to each other within the battery module 100. In FIG. 1, there are four battery banks 110, 120, 130, and 140, but the battery module 100 is not limited thereto, and the battery module 100 includes n battery banks (n is a natural number of 2 or more). It can be. Depending on the embodiment, the plurality of battery banks 110, 120, 130, and 140 may be electrically connected to each other to form a cell module assembly (CMA).

The plurality of battery banks 110, 120, 130, and 140 may include a plurality of battery cells. A battery cell is the basic unit of a battery that can be used by charging and discharging electrical energy, including lithium-ion (Li-ion) batteries, lithium-ion polymer (Li-ion polymer) batteries, nickel cadmium (Ni-Cd) batteries, and nickel hydrogen ( It may be a Ni-MH) battery, but it is not limited thereto. According to various embodiments, each of the plurality of battery banks 110, 120, 130, and 140 may be a single battery cell. A plurality of battery cells included in each of the plurality of battery banks 110, 120, 130, and 140 may be connected to each other in parallel. Additionally, the number of battery cells connected in parallel within the plurality of battery banks 110, 120, 130, and 140 may be the same.

The battery management system (BMS, Battery Management System) 200 may manage and/or control the status and/or operation of the battery module 100. For example, the battery management device 200 may manage and/or control the status and/or operation of the plurality of battery banks 110, 120, 130, and 140 included in the battery module 100. The battery management device 200 may manage charging and/or discharging of the battery module 100.

The battery management device 200 can control the operation of the relay 300. For example, the battery management device 200 may short-circuit the relay 300 to supply power to the target device. Additionally, the battery management device 200 may short-circuit the relay 300 when a charging device is connected to the battery pack 1000.

In addition, the battery management device 200 can monitor the voltage, current, temperature, etc. of the battery module 100 and/or the plurality of battery banks 110, 120, 130, and 140 included in the battery module 100. there is. Additionally, for monitoring by the battery management device 200, sensors or various measurement modules, not shown, may be additionally installed in the battery module 100, the charging/discharging path, or any other location in the battery module 100. The battery management device 200 calculates parameters indicating the state of the battery module 100, for example, SOC (State of Charge) or SOH (State of Health), based on monitored measured values such as voltage, current, and temperature. can do.

As the period of use or number of uses of the plurality of battery banks 110, 120, 130, and 140 increases, various factors within the battery banks may change, such as capacity decreasing and internal resistance increasing. The battery management device 200 may diagnose abnormalities within the plurality of battery banks 110, 120, 130, and 140 based on data on various factors that change as the battery banks deteriorate.

Specifically, the battery management device 200 uses voltage data of the plurality of battery banks 110, 120, 130, and 140 to determine a battery cell in which a disconnection has occurred in an electrode tab among the plurality of battery banks 110, 120, 130, and 140. Alternatively, it is possible to diagnose a battery bank that includes battery cells in which both electrode tab disconnection and lithium precipitation have occurred. Here, lithium precipitation is a phenomenon in which lithium ions from the positive electrode cannot chemically bond to the negative electrode during battery cell charging, and the lithium ions exist in metal form on the surface of the negative electrode. In the case of a normal battery cell, lithium ions from the positive electrode of the battery cell are reduced to the negative electrode when charging, but in the case of a defective battery cell, some lithium ions may precipitate in the form of lithium metal on the surface of the negative electrode. If lithium by-products grow due to repeated lithium precipitation, they may contact the anode or anode collector, causing an internal short between the cathode and anode of the battery cell. In the case of a battery bank with an internal short circuit, voltage deviation from the normal battery bank may occur due to self-discharge over time.

In addition, battery cells may have a disconnection at the positive or negative tab due to various reasons, such as defects in the production stage, internal deformation and degeneration through multiple charging and discharging, or external shock. At this time, if lithium precipitation and electrode tab disconnection problems occur simultaneously in the battery cell, the electrode of the disconnected battery cell and the electrode of the normal battery cell may be connected to each other by lithium deposits. Here, if the negative electrode of the disconnected battery cell has a higher charge (SOC) than the negative electrode of the normal battery, the negative electrode of the two battery cells will come into contact with lithium precipitates, causing charging to occur from the negative electrode of the disconnected battery cell to the negative electrode of the normal battery. You can. Therefore, battery cells with both lithium precipitation and electrode tab disconnection problems may experience greater and faster voltage changes than normal battery cells.

Accordingly, the battery management device 200 utilizes the phenomenon that a battery cell in which electrode tab disconnection and lithium precipitation occurs simultaneously has a faster and larger voltage change in the resting phase than a normal battery cell, and compares the voltage data in the resting phase of the battery bank with the normal battery bank. By comparing the statistical normal voltage data of the battery bank's resting period, it is possible to diagnose a battery bank containing battery cells with disconnected electrode tabs and lithium precipitation.

Additionally, the operation of the battery management device 200 below may be performed in various devices such as a server, cloud, charger, or charger/discharger connected to the battery management device 200 or a vehicle equipped with the battery management device 200.

Figure 2 is a block diagram showing the configuration of a battery management device according to an embodiment disclosed in this document.

Hereinafter, the configuration of the battery management device 200 will be described in detail with reference to FIG. 2.

Referring to FIG. 2 , the battery management device 200 may include a voltage measurement unit 210 and a controller 220.

The voltage measurement unit 210 may calculate the voltage of each of the plurality of battery banks 110, 120, 130, and 140. The voltage measurement unit 210 may calculate time-series voltage data for each of the plurality of battery banks 110, 120, 130, and 140. Specifically, the voltage measurement unit 210 can calculate voltage rises and falls during charging, discharging, and rest periods of the plurality of battery banks 110, 120, 130, and 140, and long-term stabilization (relaxation) data.

The voltage measurement unit 210 may calculate the voltage of the plurality of battery banks 110, 120, 130, and 140 in the dormant period after the plurality of battery banks 110, 120, 130, and 140 are charged or discharged.

FIG. 3 is a graph showing a voltage change in a resting period of a battery bank according to an embodiment disclosed in this document.

Referring to FIG. 3, the voltage measurement unit 210 calculates the voltage of each of the plurality of battery banks 110, 120, 130, and 140 in the resting period to determine the voltage change of each of the plurality of battery banks 110, 120, 130, and 140. Data can be calculated. During the resting period, a battery bank with disconnected electrode tabs may experience a faster and larger voltage change than a normal battery bank. Therefore, the voltage measurement unit 210 measures the voltage of each of the plurality of battery banks 110, 120, 130, and 140 in the resting period to create a graph showing the voltage change of each of the plurality of battery banks 110, 120, 130, and 140. can be created.

The voltage measurement unit 210 calculates the voltage of each of the plurality of battery banks (110, 120, 130, and 140) at a certain cycle set from the time when the idle period of the plurality of battery banks (110, 120, 130, and 140) has elapsed. Thus, the voltage change amount of each of the plurality of battery banks 110, 120, 130, and 140 can be accumulated. Here, the certain period may include, for example, 600 seconds, and the certain period may include, for example, 200 seconds. For example, the voltage measuring unit 210 measures the voltage of each of the plurality of battery banks (110, 120, 130, and 140) in a 200-second cycle starting from 600 seconds of the idle period of the plurality of battery banks (110, 120, 130, and 140). can be calculated.

The controller 220 may calculate a first value (ΔV), which is the amount of change in voltage during a certain period of each of the plurality of battery banks 110, 120, 130, and 140. For example, the controller 220 may calculate the first value (ΔV), which is the amount of change in voltage for 200 seconds from the time the rest period of each of the plurality of battery banks 110, 120, 130, and 140 is 600 seconds. . That is, the controller 220 compares the voltage measured 600 seconds after the rest period of each of the plurality of battery banks 110, 120, 130, and 140 with the voltage measured 800 seconds after the rest period for 200 seconds. The first value (ΔV), which is the amount of change in voltage of each of the plurality of battery banks 110, 120, 130, and 140, can be calculated.

FIG. 4 is a graph showing a change in the first value of a battery bank according to an embodiment disclosed in this document.

Referring to FIG. 4 , the controller 220 may repeatedly calculate the first value ΔV of each of the plurality of battery banks 110, 120, 130, and 140 at regular intervals. For example, the controller 220 may repeatedly calculate the first value ΔV of each of the plurality of battery banks 110, 120, 130, and 140 at a period of 200 seconds. That is, the controller 220 determines the voltage measured 600 seconds after the rest period of each of the plurality of battery banks 110, 120, 130, and 140, the voltage measured 800 seconds after the rest period, and the voltage measured 1000 seconds after the rest period. By continuously comparing the measured voltage, etc., the change in the first value (ΔV) of each of the plurality of battery banks 110, 120, 130, and 140 in a period of 200 seconds can be calculated as a graph.

The controller 220 may calculate the amount of voltage change (dV) per unit time for each of the plurality of battery banks 110, 120, 130, and 140. For example, the controller 220 may calculate the amount of voltage change (dV) per second for each of the plurality of battery banks 110, 120, 130, and 140. The controller 220 may calculate a second value (σ_dv), which is the standard deviation (σ) of the voltage change amount per unit time for each of the plurality of battery banks 110, 120, 130, and 140.

FIG. 5 is a graph showing a change in a second value of a battery bank according to an embodiment disclosed in this document.

Referring to FIG. 5 , the controller 220 may repeatedly calculate the second value σ_dv of each of the plurality of battery banks 110, 120, 130, and 140 at regular intervals. For example, the controller 220 may repeatedly calculate the second value σ_dv of each of the plurality of battery banks 110, 120, 130, and 140 at a period of 200 seconds. That is, the controller 220 measures the standard deviation of the voltage change per unit time 600 seconds after the idle period of each of the plurality of battery banks 110, 120, 130, and 140, and the voltage change per unit time measured 800 seconds after the rest period. The standard deviation of and the standard deviation of the voltage change per unit time measured 1000 seconds after the rest period are continuously compared, and the second value (σ_dv) of each of the plurality of battery banks (110, 120, 130, 140) with a period of 200 seconds is calculated. Changes can be calculated graphically.

That is, the controller 220 may repeatedly calculate the first value (ΔV) and the second value (σ_dv) of each of the plurality of battery banks 110, 120, 130, and 140 at regular intervals. For example, the controller 220 may repeatedly calculate the first value (ΔV) and the second value (σ_dv) of each of the plurality of battery banks 110, 120, 130, and 140 at a period of 200 seconds.

The controller 220 may compare the first value (ΔV) and the second value (σ_dv) of each of the plurality of battery banks 110, 120, 130, and 140. The controller 220 controls the plurality of battery banks 110, 120, 130, and 130 based on the result of comparing the first value (ΔV) and the second value (σ_dv) of each of the plurality of battery banks (110, 120, 130, and 140). , 140), each first value (ΔV) can be corrected. Specifically, the second value (σ_dv) of each of the plurality of battery banks (110, 120, 130, 140) determines whether the first value (ΔV) of each of the plurality of battery banks (110, 120, 130, 140) is noise data. This is a value related to the noise level that can be judged. That is, the controller 220 compares the first value (ΔV) of each of the plurality of battery banks 110, 120, 130, and 140 with the second value σ_dv to determine the plurality of battery banks 110, 120, 130, and 140. ) It is possible to determine whether each first value (ΔV) is too small to be noise data that cannot be used for diagnosis of the battery bank.

According to one embodiment, the controller 220 determines that the first value (ΔV) of at least one battery bank among the plurality of battery banks (110, 120, 130, and 140) is the second value (σ_dv) of the at least one battery bank. If it is smaller than the value multiplied by the Lower Threshold (LT), the first value (ΔV) can be initialized. That is, the controller 220 determines the first value (ΔV) of the battery bank as noise data when the first value (ΔV) of the battery bank is less than the value obtained by multiplying the second value (σ_dv) by the lower limit threshold (LT). Thus, the first value (ΔV) can be initialized without being used for diagnosis of the battery bank.

According to one embodiment, the controller 220 determines that the first value (ΔV) of at least one battery bank among the plurality of battery banks (110, 120, 130, and 140) is the second value (σ_dv) of the at least one battery bank. If it exceeds the value multiplied by the Upper Threshold (UT), the first value (ΔV) can be maintained. That is, when the first value (ΔV) of the battery bank exceeds the value obtained by multiplying the second value (σ_dv) by the upper threshold value (UT), the controller 220 determines that the size of the first value (ΔV) of the battery bank is noise. Since it cannot be ignored as data, the first value (ΔV) can be used for diagnosis of the battery bank.

According to one embodiment, the controller 220 determines that the first value (ΔV) of at least one battery bank among the plurality of battery banks (110, 120, 130, and 140) is the second value (σ_dv) of the at least one battery bank. If the value is greater than or equal to the value obtained by multiplying the second value σ_dv by the upper threshold value UT, the first value ΔV of the battery bank may be accumulated. That is, the controller 220 determines that the first value (ΔV) of the battery bank is greater than or equal to the second value (σ_dv) multiplied by the lower limit threshold (LT) and less than or equal to the second value multiplied by the upper limit threshold (UT). In this case, the first value (ΔV) of the battery bank is not judged as noise data, but the size of the first value (ΔV) is not sufficient to diagnose the battery bank, so the first value (ΔV) of the battery bank is accumulated and used for several cycles. The battery bank can be diagnosed based on the accumulated amount of the first value (ΔV). Therefore, the controller 220 recalculates the voltage of each of the plurality of battery banks 110, 120, 130, and 140 after a certain period has elapsed, and adds the newly calculated first value (ΔV) to the previously stored first value (ΔV). The cumulatively calculated first value (ΔV) can be compared again with the second value (σ_dv) by adding ΔV).

The controller 220 initializes the first value (ΔV) determined to be noise data by comparing the first value (ΔV) of each of the plurality of battery banks 110, 120, 130, and 140 with the second value (σ_dv). , Over-checking of the battery bank due to reflection of noise data can be prevented by accumulating the first value (ΔV) for several cycles.

The controller 220 may calculate an average value (AVG_ΔV) of the corrected first values (ΔV) of each of the plurality of battery banks 110, 120, 130, and 140. The controller 220 calculates the average value (AVG_ΔV) of the corrected first value (ΔV) of the plurality of battery banks (110, 120, 130, 140) and the second value of each of the plurality of battery banks (110, 120, 130, 140) The maximum value (Max) can be calculated by multiplying the value (σ_dv) by the upper threshold (UT).

The controller 220 calculates the average value (AVG_ΔV) of the corrected first values of the plurality of battery banks 110, 120, 130, and 140 and the second value (σ_dv) of each of the plurality of battery banks 110, 120, 130, and 140. ) can be calculated by multiplying the upper threshold value (UT) by multiplying the corrected first value (ΔV) of each of the plurality of battery banks to the maximum value. Specifically, the controller 220 calculates the average value (AVG_ΔV) of the corrected first values of the plurality of battery banks 110, 120, 130, and 140 and the second values of each of the plurality of battery banks 110, 120, 130, and 140. The ratio (Ratio) of the corrected first value (ΔV) of each of the plurality of battery banks to the maximum value of (σ_dv) multiplied by the upper threshold value (UT) is calculated in the plurality of battery banks (110, 120, 130, 140). ) can be calculated with each first reference value (R1).

The controller 220 may calculate the first reference value R1 for each of the plurality of battery banks 110, 120, 130, and 140 based on [Equation 1] below.

[Equation 1]

The controller 220 may use the Max function as the denominator of [Equation 1] for calculating the first reference value (R1). Specifically, the controller 220 uses the Max function to calculate the average value (AVG_ΔV) of the corrected first values of the plurality of battery banks 110, 120, 130, and 140 and the plurality of battery banks 110, 120, 130, and 140. The maximum value among the values obtained by multiplying each second value (σ_dv) by the upper threshold value (UT) can be entered into the denominator of [Equation 1].

The controller 220 can diagnose the battery bank using the first reference value (R1) only when the size of the first value (ΔV) of the battery bank is above a certain level by using the Max function in the denominator of [Equation 1]. You can set it to be. That is, the controller 220 uses the Max function in the denominator of [Equation 1] to determine that the size of the corrected first value (ΔV) of the battery bank is equal to the upper threshold (UT) to the second value (σ_dv), which is the noise level. It can be set to allow diagnosis only when the value is greater than the value multiplied by .

Figure 6 is a graph showing a change in the first reference value of the battery bank according to an embodiment disclosed in this document.

Referring to FIG. 6, the controller 220 may calculate a first reference value (R1) for each of the plurality of battery banks 110, 120, 130, and 140 at regular intervals. For example, the controller 220 calculates the first value (ΔV) and the second value (σ_dv) of each of the plurality of battery banks 110, 120, 130, and 140 at a period of 200 seconds, and the calculated first value ( ΔV) and the second value (σ_dv) can be used to calculate the first reference value (R1) for each of the plurality of battery banks (110, 120, 130, and 140) at a period of 200 seconds.

The controller 220 may set the ranking of each of the plurality of battery banks 110, 120, 130, and 140 based on the first reference value R1 of each of the plurality of battery banks 110, 120, 130, and 140. The controller 220 may list the plurality of battery banks 110, 120, 130, and 140 in descending order from the highest first reference value R1. The controller 220 may sequentially set the ranks according to the order in which the plurality of battery banks 110, 120, 130, and 140 are listed. The controller 220 selects the battery bank ranked first based on the first reference value (R1) among the plurality of battery banks (110, 120, 130, and 140) as the first battery bank (B1) and the first reference value (R1). Based on the second-ranked battery bank, the second battery bank (B2) can be determined, and the last-ranked battery bank can be determined to be the third battery bank (B3) based on the first reference value (R1).

The controller 220 may determine the first battery bank B1, which is a potential target of diagnosis, based on the first reference value R1 of each of the plurality of battery banks 110, 120, 130, and 140.

Figure 7 is a flowchart showing a method of diagnosing a battery bank of a controller according to an embodiment disclosed in this document.

Hereinafter, with reference to FIG. 7 , a detailed description will be given of how the controller 220 diagnoses the battery banks 110, 120, 130, and 140 based on the first reference value R1 of each of the battery banks 110, 120, 130, and 140.

In step S101, the controller 220 calculates '(R1_B1) - (R1_B2)', which is the difference between the first reference value (R1_B1) of the first battery bank (B1) and the first reference value (R1_B2) of the second battery bank (B2). can be calculated as the first deviation (D1). In step S101, the controller 220 determines the first reference value (R1_B1) and the second battery bank (B2) of the first battery bank (B1), which is the target of potential diagnosis, with the largest amount of voltage change based on the first reference value (R1). The first deviation D1, which is the difference between the first reference value R1_B2, can be calculated.

In step S102, the controller 220 calculates '(R1_B2) - (R1_B3)', which is the difference between the first reference value (R1_B2) of the second battery bank (B2) and the first reference value (R1_B3) of the third battery bank (B2). can be calculated as the second deviation (D2). In step S102, the controller 220 controls the first reference value (R1_B2) of the second battery bank (B2) with the second voltage change amount based on the first reference value (R1) and the third battery bank (B2) with the smallest voltage change amount. The second deviation D2, which is the difference between the first reference value R1_B3, can be calculated.

In step S103, the controller 220 may calculate the ratio of the first deviation (D2) to the second deviation (D1) as the second reference value (R2).

In step S103, specifically, the controller 220 may calculate the second reference value (R2) based on [Equation 2] below.

[Equation 2]

In step S103, the controller 220 sets '{(R1_B1)-(R1_B2)}/{(R1_B2)-(R1_B3)}', which is the ratio of the first deviation (D2) to the second deviation (D1), as a second reference value. It can be calculated as (R2).

In step S103, the controller 220 determines the first reference value (R1_B1) and the second battery bank (B2) of the first battery bank (B1), which is the target of potential diagnosis, with the largest amount of voltage change based on the first reference value (R1). Based on the first reference value (R1) of the first deviation (D1), which is the difference between the first reference value (R1_B2) of the second battery bank (B2), the first reference value (R1_B2) and the voltage change amount are the second. The ratio of the second deviation D2, which is the difference between the first reference value R1_B3 of the small third battery bank B2, can be calculated as the second reference value R2.

The controller 220 determines the first of the plurality of battery banks 110, 120, 130, and 140 based on the first reference value (R1_B1) and the second reference value (R2) of the first battery bank (B1), which is the target of potential diagnosis. The first battery bank (B1) with the largest reference value (R1) can be diagnosed.

In step S104, the controller 220 may determine whether the first reference value (R1_B1) of the first battery bank (B1) exceeds the first threshold. Here, the first threshold may be set to, for example, ‘1.5’. In step S104, the controller 220 determines the first battery bank (B1) with the relatively largest first value (ΔV) among the plurality of battery banks (110, 120, 130, and 140), and then selects the first battery bank ( By comparing the first reference value (R1_B1) of B1) with a preset first threshold value, the amount of change in voltage of the first battery bank (B1) can be absolutely evaluated.

In step S105, the controller 220 may determine whether the second reference value R2 exceeds the second threshold. Here, the second threshold may be set to, for example, ‘1.0’.

In step S106, when the first reference value (R1_B1) of the first battery bank (B1) exceeds the first threshold and at the same time the second reference value (R2) exceeds the second threshold, the controller 220 The battery bank (B1) can be diagnosed as a faulty battery bank.

Referring again to FIG. 6, the controller 220 determines that the first reference value (R1_B1) of the first battery bank (B1) exceeds the first threshold, and at the same time, the second reference value (R2) exceeds the second threshold. At the time, the first battery bank B1 having the relatively largest first value ΔV among the plurality of battery banks 110, 120, 130, and 140 may be diagnosed.

According to one embodiment, the controller 220 operates when the first reference value (R1_B1) of the first battery bank (B1) exceeds the first threshold and at the same time the second reference value (R2) exceeds the second threshold. The first battery bank B1 may be diagnosed as a battery bank including a battery cell in which an electrode tab disconnection occurred or a battery bank including a battery cell in which an electrode tab disconnection and lithium precipitation occurred.

The controller 220 diagnoses the first battery bank (B1) as a battery bank including a battery cell in which an electrode tab disconnection has occurred or a battery bank including a battery cell in which an electrode tab disconnection and lithium precipitation have occurred, and then It is possible to track and monitor whether an internal short circuit occurs in (B1).

Additionally, if it is confirmed as a result of the diagnosis that electrode tab disconnection or electrode tab disconnection and lithium precipitation have occurred in the first battery bank B1, the controller 220 may provide information about the first battery bank B1 to the user. As an example, the controller 220 may provide information about the electrode tab disconnection or the first battery bank (B1) in which electrode tab disconnection and lithium precipitation occurred to the user terminal through a communication unit (not shown), as well as the vehicle or Information about the first battery bank B1 may be provided through a display provided on a charger, etc.

As described above, according to the battery management device 200 according to an embodiment disclosed in this document, a battery bank including a battery cell in which an electrode tab disconnection occurs or an electrode tab disconnection and lithium A battery bank containing battery cells in which precipitation has occurred can be diagnosed.

The battery management device 200 can accurately diagnose a battery bank based on the amount of voltage change in the battery bank and the ranking of the amount of voltage change between battery banks.

Additionally, the battery management device 200 may analyze both short-term voltage behavior and long-term voltage behavior of the battery banks by comparing a plurality of voltage changes for each of the plurality of battery banks.

The battery management device 200 can secure the safety and reliability of battery energy by early diagnosing battery banks in which electrode tab disconnection and lithium precipitation have occurred based on the amount of voltage change in the battery banks. In addition, the battery management device 200 diagnoses a battery bank in which electrode tab disconnection and lithium precipitation has occurred while the battery is installed in the vehicle, making it possible to quickly and easily diagnose the battery bank without separate separation of the battery.

Figure 8 is a flowchart showing a method of operating a battery management device according to an embodiment disclosed in this document.

Hereinafter, the operating method of the battery management device 200 will be described in detail with reference to FIGS. 1 to 7.

Since the battery management device 200 may be substantially the same as the battery management device 200 described with reference to FIGS. 1 to 7, it will be briefly described below to avoid duplication of description.

Referring to FIG. 8, the method of operating the battery management device includes measuring the voltage of each of a plurality of battery banks (S201) and calculating a first value, which is the amount of change in voltage during a certain period of each of the plurality of battery banks (S202). ), calculating a second value that is the standard deviation of the voltage change amount per unit time for each of the plurality of battery banks (S203), calculating a plurality of batteries based on the result of comparing the first value and the second value of each of the plurality of battery banks A step of correcting the first value of each bank (S204), a plurality of battery banks based on a first reference value that is the value of the corrected first value of each of the plurality of battery banks compared to the average value of the corrected first values of the plurality of battery banks It may include setting each ranking (S205) and diagnosing at least one battery bank among the plurality of battery banks based on the respective rankings of the plurality of battery banks (S206).

Hereinafter, steps S201 to S206 will be described in detail.

In step S201, the voltage measurement unit 210 may calculate the voltage of each of the plurality of battery banks 110, 120, 130, and 140. The voltage measurement unit 210 may calculate time-series voltage data for each of the plurality of battery banks 110, 120, 130, and 140. Specifically, the voltage measurement unit 210 can calculate voltage rises and falls during charging, discharging, and rest periods of the plurality of battery banks 110, 120, 130, and 140, and long-term stabilization (relaxation) data.

In step S201, the voltage measuring unit 210 calculates the voltage of the plurality of battery banks 110, 120, 130, and 140 in the dormant period after the plurality of battery banks 110, 120, 130, and 140 are charged or discharged. can do.

In step S201, the voltage measurement unit 210 calculates the voltage of each of the plurality of battery banks 110, 120, 130, and 140 in the resting period to obtain voltage change data of each of the plurality of battery banks 110, 120, 130, and 140. can be calculated. During the resting period, a battery bank with disconnected electrode tabs may experience a faster and larger voltage change than a normal battery bank. Therefore, the voltage measurement unit 210 measures the voltage of each of the plurality of battery banks 110, 120, 130, and 140 in the resting period to create a graph showing the voltage change of each of the plurality of battery banks 110, 120, 130, and 140. can be created.

In step S201, the voltage measurement unit 210 measures each of the plurality of battery banks 110, 120, 130, and 140 at a set cycle starting from the point when the idle period of the plurality of battery banks 110, 120, 130, and 140 has elapsed. The voltage change of each of the plurality of battery banks 110, 120, 130, and 140 can be accumulated by calculating the voltage. Here, the certain period may include, for example, 600 seconds, and the certain period may include, for example, 200 seconds. In step S201, for example, in step S201, the voltage measurement unit 210 measures the plurality of battery banks 110, 120 at a cycle of 200 seconds starting 600 seconds after the idle period of the plurality of battery banks 110, 120, 130, and 140. , 130, 140), each voltage can be calculated.

In step S202, the controller 220 may calculate a first value (ΔV), which is the amount of change in voltage during a certain period of each of the plurality of battery banks 110, 120, 130, and 140. In step S202, for example, the controller 220 sets a first value (ΔV), which is the amount of change in voltage for 200 seconds from the time 600 seconds have elapsed from the rest period of each of the plurality of battery banks 110, 120, 130, and 140. It can be calculated.

In step S202, the controller 220 may repeatedly calculate the first value ΔV of each of the plurality of battery banks 110, 120, 130, and 140 at regular intervals. In step S202, for example, the controller 220 may repeatedly calculate the first value ΔV of each of the plurality of battery banks 110, 120, 130, and 140 at a period of 200 seconds. In step S202, that is, the controller 220 determines the voltage measured 600 seconds after the rest period for each of the plurality of battery banks 110, 120, 130, and 140, the voltage measured 800 seconds after the rest period, and the voltage measured 800 seconds after the rest period. By continuously comparing the voltages measured after 1000 seconds, the change in the first value (ΔV) of each of the plurality of battery banks (110, 120, 130, 140) in a 200-second cycle can be calculated as a graph.

In step S203, the controller 220 may calculate the amount of voltage change (dV) per unit time for each of the plurality of battery banks 110, 120, 130, and 140. In step S203, for example, the controller 220 may calculate the amount of voltage change (dV) per second for each of the plurality of battery banks 110, 120, 130, and 140. In step S203, the controller 220 may calculate a second value (σ_dv), which is the standard deviation (σ) of the voltage change amount per unit time for each of the plurality of battery banks 110, 120, 130, and 140.

In step S203, the controller 220 may repeatedly calculate the second value σ_dv of each of the plurality of battery banks 110, 120, 130, and 140 at a certain period. For example, the controller 220 may repeatedly calculate the second value σ_dv of each of the plurality of battery banks 110, 120, 130, and 140 at a period of 200 seconds.

In step S204, the controller 220 may compare the first value (ΔV) and the second value (σ_dv) of each of the plurality of battery banks 110, 120, 130, and 140. In step S204, the controller 220 operates a plurality of battery banks 110 based on the result of comparing the first value ΔV and the second value σ_dv of each of the plurality of battery banks 110, 120, 130, and 140. , 120, 130, 140), each first value (ΔV) can be corrected. In step S204, specifically, the second value (σ_dv) of each of the plurality of battery banks 110, 120, 130, and 140 is the first value (ΔV) of each of the plurality of battery banks 110, 120, 130, and 140. This is a value related to the noise level that can determine whether or not it is noise data. In step S204, the controller 220 compares the first value (ΔV) of each of the plurality of battery banks 110, 120, 130, and 140 with the second value (σ_dv) to determine the plurality of battery banks 110, 120, 130. , 140) It is possible to determine whether each first value (ΔV) is too small to be determined as noise data.

In step S204, according to one embodiment, the controller 220 determines that the first value ΔV of at least one battery bank among the plurality of battery banks 110, 120, 130, and 140 is the second value of the at least one battery bank. The first value (ΔV) can be initialized if it is smaller than the value (σ_dv) multiplied by the lower threshold (LT). In step S204, if the first value (ΔV) of the battery bank is less than the value obtained by multiplying the second value (σ_dv) by the lower limit threshold (LT), the controller 220 converts the first value (ΔV) of the battery bank into noise data. By determining that, the first value (ΔV) can be initialized without being used for diagnosis of the battery bank.

In step S204, according to one embodiment, the controller 220 determines that the first value ΔV of at least one battery bank among the plurality of battery banks 110, 120, 130, and 140 is the second value of the at least one battery bank. When the value (σ_dv) multiplied by the upper threshold (UT) exceeds the value, the first value (ΔV) can be maintained. In step S204, the controller 220 determines the size of the first value (ΔV) of the battery bank when the first value (ΔV) of the battery bank exceeds the value obtained by multiplying the second value (σ_dv) by the upper threshold value (UT). Since it cannot be ignored as noise data, the first value (ΔV) can be used for diagnosis of the battery bank.

In step S204, the controller 220 determines that the first value (ΔV) of at least one battery bank among the plurality of battery banks 110, 120, 130, and 140 is lower than the second value (σ_dv) of the at least one battery bank. If it is greater than the value multiplied by the threshold value LT and less than or equal to the value multiplied by the second value σ_dv by the upper limit threshold value UT, the first value ΔV of the battery bank may be accumulated. In step S204, the controller 220 determines that the first value (ΔV) of the battery bank is greater than or equal to the second value (σ_dv) multiplied by the lower limit threshold (LT) and the second value multiplied by the upper threshold (UT). If it is less than the value, the first value (ΔV) of the battery bank is not judged as noise data, but the size of the first value (ΔV) is not sufficient to diagnose the battery bank, so the first value (ΔV) of the battery bank is accumulated. The battery bank can be diagnosed based on the accumulated amount of the first value (ΔV) over several cycles. In step S204, the controller 220 recalculates the voltage of each of the plurality of battery banks 110, 120, 130, and 140 after a certain period has elapsed, and adds the newly calculated first value to the previously stored first value ΔV. The first value (ΔV) calculated cumulatively by adding the values (ΔV) can be compared again with the second value (σ_dv).

In step S204, the controller 220 compares the first value (ΔV) of each of the plurality of battery banks 110, 120, 130, and 140 with the second value (σ_dv) to determine the first value (ΔV) determined to be noise data. ) or by accumulating the first value (ΔV) for several cycles to prevent overchecking of the battery bank due to reflection of noise data.

In step S205, the controller 220 may calculate the average value (AVG_ΔV) of the corrected first values (ΔV) of each of the plurality of battery banks 110, 120, 130, and 140. In step S205, the controller 220 calculates the average value (AVG_ΔV) of the corrected first value (ΔV) of the plurality of battery banks (110, 120, 130, 140) and the plurality of battery banks (110, 120, 130, 140). The maximum value among the values obtained by multiplying each second value (σ_dv) by the upper threshold value (UT) can be calculated.

In step S205, the controller 220 calculates the average value (AVG_ΔV) of the corrected first values of the plurality of battery banks 110, 120, 130, and 140 and the first value of each of the plurality of battery banks 110, 120, 130, and 140. 2 The ratio of the corrected first value (ΔV) of each of the plurality of battery banks to the maximum value of the value (σ_dv) multiplied by the upper threshold value (UT) can be calculated. In step S205, the controller 220 calculates the average value (AVG_ΔV) of the corrected first values of the plurality of battery banks 110, 120, 130, and 140 and the first value of each of the plurality of battery banks 110, 120, 130, and 140. 2 The ratio of the corrected first value (ΔV) of each of the plurality of battery banks to the maximum value of the value (σ_dv) multiplied by the upper threshold value (UT) is calculated in the plurality of battery banks (110, 120, 130). , 140) can be calculated with each first reference value (R1).

In step S205, specifically, the controller 220 may calculate the first reference value R1 for each of the plurality of battery banks 110, 120, 130, and 140 based on [Equation 3] below.

[Equation 3]

In step S205, the controller 220 may use the Max function as the denominator of [Equation 3] for calculating the first reference value (R1). Specifically, the controller 220 uses the Max function to calculate the average value (AVG_ΔV) of the corrected first values of the plurality of battery banks 110, 120, 130, and 140 and the plurality of battery banks 110, 120, 130, and 140. The maximum value among the values obtained by multiplying each second value (σ_dv) by the upper threshold value (UT) can be entered into the denominator of [Equation 1].

In step S205, the controller 220 uses the Max function in the denominator of [Equation 1] to control the battery bank using the first reference value (R1) only when the size of the first value (ΔV) of the battery bank is above a certain level. can be set to diagnose. In step S205, that is, the controller 220 uses the Max function in the denominator of [Equation 1] to determine that the magnitude of the corrected first value (ΔV) of the battery bank is the upper limit threshold to the second value (σ_dv), which is the noise level. It can be set to allow diagnosis only when the value is greater than the value multiplied by the value (UT).

In step S205, the controller 220 may calculate a first reference value (R1) for each of the plurality of battery banks 110, 120, 130, and 140 at regular intervals. In step S205, for example, the controller 220 calculates the first value (ΔV) and the second value (σ_dv) of each of the plurality of battery banks 110, 120, 130, and 140 at a period of 200 seconds, and calculates The first reference value (R1) for each of the plurality of battery banks 110, 120, 130, and 140 may be calculated at a period of 200 seconds using the first value (ΔV) and the second value (σ_dv).

In step S205, the controller 220 ranks each of the plurality of battery banks 110, 120, 130, and 140 based on the first reference value (R1) of each of the plurality of battery banks 110, 120, 130, and 140. You can set it. In step S205, the controller 220 may list the plurality of battery banks 110, 120, 130, and 140 in descending order from the highest first reference value R1. In step S205, the controller 220 may sequentially set the ranking of the plurality of battery banks 110, 120, 130, and 140 according to the order in which they are listed. In step S205, the controller 220 selects the battery bank listed first based on the first reference value (R1) among the plurality of battery banks (110, 120, 130, and 140) as the first battery bank (B1), the first reference value. Based on (R1), the second battery bank can be determined as the second battery bank (B2), and the battery bank ranked last based on the first reference value (R1) can be determined as the third battery bank (B3).

In step S206, the controller 220 may determine the first battery bank (B1), which is a potential target of diagnosis, based on the first reference value (R1) of each of the plurality of battery banks (110, 120, 130, and 140). . In step S206, the controller 220 may diagnose the first battery bank B1 based on [Equation 4] below.

[Equation 4]

First deviation (D1) = {first reference value (R1_B1) of the first battery bank} - {first reference value (R1_B2) of the second battery bank} = (R1_B1) - (R1_B2)

Second deviation (D2) = {first reference value (R1_B2) of the second battery bank} - {first reference value (R1_B3) of the third battery bank} = (R1_B2) - (R1_B3)

Referring to [Equation 4], in step S206, the controller 220 calculates the difference between the first reference value (R1_B1) of the first battery bank (B1) and the first reference value (R1_B2) of the second battery bank (B2). '(R1_B1)-(R1_B2)' can be calculated as the first deviation (D1).

In step S206, the controller 220 calculates '(R1_B2) - (R1_B3)', which is the difference between the first reference value (R1_B2) of the second battery bank (B2) and the first reference value (R1_B3) of the third battery bank (B2). can be calculated as the second deviation (D2).

In step S206, the controller 220 sets '{(R1_B1)-(R1_B2)}/{(R1_B2)-(R1_B3)}', which is the ratio of the first deviation (D2) to the second deviation (D1), as a second reference value. It can be calculated as (R2).

In step S206, the controller 220 determines the first reference value (R1_B1) and the second battery bank (B2) of the first battery bank (B1), which is the target of potential diagnosis, with the largest amount of voltage change based on the first reference value (R1). The first deviation (D1), which is the difference between the first reference value (R1_B2) of The ratio of the second deviation D2, which is the difference between the first reference value R1_B3 of the small third battery bank B2, can be calculated as the second reference value R2.

In step S206, the controller 220 determines the plurality of battery banks 110, 120, 130, and 140 based on the first reference value (R1_B1) and the second reference value (R2) of the first battery bank (B1), which is a potential target of diagnosis. ), the first battery bank (B1) with the largest first reference value (R1) can be diagnosed.

In step S206, the controller 220 may determine whether the first reference value (R1_B1) of the first battery bank (B1) exceeds the first threshold. Here, the first threshold may be set to, for example, ‘1.5’. In step S206, the controller 220 determines the first battery bank (B1) with the relatively largest first value (ΔV) among the plurality of battery banks (110, 120, 130, and 140), and then selects the first battery bank ( By comparing the first reference value (R1_B1) of B1) with a preset first threshold value, the amount of change in voltage of the first battery bank (B1) can be absolutely evaluated.

In step S206, the controller 220 may determine whether the second reference value R2 exceeds the second threshold. Here, the second threshold may be set to, for example, ‘1.0’.

In step S206, when the first reference value (R1_B1) of the first battery bank (B1) exceeds the first threshold and at the same time the second reference value (R2) exceeds the second threshold, the controller 220 The battery bank (B1) can be diagnosed as a faulty battery bank.

In step S206, when the first reference value (R1_B1) of the first battery bank (B1) exceeds the first threshold and at the same time the second reference value (R2) exceeds the second threshold, the controller 220 The battery bank B1 can be diagnosed as a battery bank including a battery cell in which an electrode tab disconnection occurred or a battery bank including a battery cell in which an electrode tab disconnection and lithium precipitation occurred.

In step S206, the controller 220 diagnoses the first battery bank (B1) as a battery bank including a battery cell in which an electrode tab disconnection occurred or a battery bank including a battery cell in which an electrode tab disconnection and lithium precipitation occurred, It is possible to track and monitor whether an internal short circuit occurs in the first battery bank (B1).

In step S206, if it is confirmed as a result of the diagnosis that electrode tab disconnection or electrode tab disconnection and lithium precipitation have occurred in the first battery bank (B1), the controller 220 provides information about the first battery bank (B1) to the user. You can. As an example, the controller 220 may provide information about the electrode tab disconnection or the first battery bank (B1) in which electrode tab disconnection and lithium precipitation occurred to the user terminal through a communication unit (not shown), as well as the vehicle or Information about the first battery bank B1 may be provided through a display provided on a charger, etc.

Figure 9 is a block diagram showing the hardware configuration of a computing system that implements a method of operating a battery management device according to an embodiment disclosed in this document.

Referring to FIG. 9, the computing system 2000 according to an embodiment disclosed in this document may include an MCU 2100, a memory 2200, an input/output I/F 2300, and a communication I/F 2400. there is.

The MCU 2100 executes various programs (for example, a battery voltage change analysis program) stored in the memory 2200, processes various data through these programs, and operates the battery management device 200 shown in FIG. 1 described above. ) may be a processor that performs the functions of.

The memory 2200 may store various programs related to the operation of the battery management device 200. Additionally, the memory 2200 may store operating data of the battery management device 200.

A plurality of such memories 2200 may be provided as needed. The memory 2200 may be a volatile memory or a non-volatile memory. As volatile memory, the memory 2200 may use RAM, DRAM, SRAM, etc. As a non-volatile memory, the memory 2200 may be ROM, PROM, EAROM, EPROM, EEPROM, flash memory, etc. The examples of memories 2200 listed above are merely examples and are not limited to these examples.

The input/output I/F 2300 is an interface that connects input devices such as a keyboard, mouse, and touch panel (not shown) and output devices such as a display (not shown) and the MCU 2100 to transmit and receive data. can be provided.

The communication I/F 2400 is a component that can transmit and receive various data with a server, and may be various devices that can support wired or wireless communication. For example, programs or various data for resistance measurement and abnormality diagnosis can be transmitted and received from a separately provided external server through the communication I/F 2400.

The above description is merely an illustrative explanation of the technical idea of the present disclosure, and those skilled in the art will be able to make various modifications and variations without departing from the essential characteristics of the present disclosure.

Accordingly, the embodiments disclosed in the present disclosure are not intended to limit the technical idea of the present disclosure but are for illustrative purposes, and the scope of the technical idea of the present disclosure is not limited by these embodiments. The scope of protection of this disclosure should be interpreted in accordance with the claims below, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of rights of this disclosure.

1000: Battery pack
100: Battery module
110: Battery Bank-1
120: Battery Bank-2
130: Battery Bank-3
140: Battery Bank-4
200: Battery management device
210: Voltage measurement unit
220: controller
300: relay
2000: Computing Systems
2100:MCU
2200: Memory
2300: Input/output I/F
2400: Communication I/F
R1: first value
R2: second value
D1: first deviation
D2: second deviation

Claims (16)

A voltage measurement unit that measures the voltage of each of the plurality of battery banks; and
A first value for each of the plurality of battery banks based on a first value that is the amount of change in voltage during a certain period of each of the plurality of battery banks and a second value that is the standard deviation of the amount of voltage change per unit time of each of the plurality of battery banks. Correct it,
Setting a ranking of each of the plurality of battery banks based on a first reference value, which is a value of the corrected first value of each of the plurality of battery banks relative to the average value of the corrected first values of the plurality of battery banks,
A battery management device comprising a controller that diagnoses at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks. According to claim 1,
The controller initializes the first value when the first value of at least one battery bank among the plurality of battery banks is less than a value obtained by multiplying the second value of the at least one battery bank by a lower threshold value. Battery management device. According to clause 2,
The controller maintains the first value when the first value of at least one battery bank among the plurality of battery banks exceeds a value obtained by multiplying the second value of the at least one battery bank by an upper threshold value. A battery management device that does. According to clause 3,
The controller determines that the first value of at least one battery bank among the plurality of battery banks is greater than or equal to a value obtained by multiplying the second value of the at least one battery bank by a lower threshold value, and the second value multiplied by an upper threshold value. A battery management device characterized in that it accumulates the first value when less than or equal to the value. According to clause 4,
The controller determines the corrected first value of each of the plurality of battery banks relative to the maximum value of the average value of the corrected first values of the plurality of battery banks and the value obtained by multiplying the second value of each of the plurality of battery banks by an upper threshold value. A battery management device characterized by calculating as a first reference value for each of the plurality of battery banks. According to clause 5,
The controller sets the ranking of the plurality of battery banks according to the order in which the first reference value is higher, and among the plurality of battery banks, the first battery bank is ranked first, the second battery bank is ranked second, and the last ranked. A battery management device characterized in that it determines the third battery bank. According to clause 6,
The controller calculates a first deviation, which is the difference between the first reference value of the first battery bank and the first reference value of the second battery bank,
Calculate a second deviation, which is the difference between the first reference value of the second battery bank and the first reference value of the third battery bank,
A battery management device characterized in that the first battery bank is diagnosed based on a second reference value that is a value of the first deviation compared to the second deviation. According to clause 7,
The controller diagnoses the first battery bank when the first reference value of the first battery bank exceeds the first threshold and the second reference value of the first battery bank exceeds the second threshold. Management device. Measuring the voltage of each of the plurality of battery banks;
calculating a first value, which is the amount of change in voltage of each of the plurality of battery banks during a certain period;
calculating a second value that is a standard deviation of the amount of voltage change per unit time for each of the plurality of battery banks;
correcting a first value of each of the plurality of battery banks based on a first value and a second value of each of the plurality of battery banks;
setting a ranking of each of the plurality of battery banks based on a first reference value, which is a value of the corrected first value of each of the plurality of battery banks relative to an average value of the corrected first values of the plurality of battery banks; and
A method of operating a battery management device comprising diagnosing at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks. According to clause 9,
The step of correcting the first value of each of the plurality of battery banks based on the first value and the second value of each of the plurality of battery banks
A battery management device that initializes the first value when the first value of at least one battery bank among the plurality of battery banks is less than a value obtained by multiplying the second value of the at least one battery bank by a lower limit threshold. How it works. According to claim 10,
The step of correcting the first value of each of the plurality of battery banks based on the first value and the second value of each of the plurality of battery banks
Battery management, characterized in that maintaining the first value of at least one battery bank among the plurality of battery banks when the first value of the at least one battery bank exceeds a value obtained by multiplying the second value of the at least one battery bank by an upper threshold value. How the device works. According to claim 11,
The step of correcting the first value of each of the plurality of battery banks based on the first value and the second value of each of the plurality of battery banks
When the first value of at least one battery bank among the plurality of battery banks is greater than or equal to a value obtained by multiplying the second value of the at least one battery bank by a lower threshold value and is less than or equal to a value obtained by multiplying the second value by an upper threshold value A method of operating a battery management device, characterized in that accumulating the first value. According to claim 12,
Setting the ranking of each of the plurality of battery banks based on a first reference value, which is a value of the corrected first value of each of the plurality of battery banks relative to the average value of the corrected first values of the plurality of battery banks,
The corrected first value of each of the plurality of battery banks is compared to the maximum value of the average value of the corrected first values of the plurality of battery banks and the value obtained by multiplying the second value of each of the plurality of battery banks by an upper limit threshold value. A method of operating a battery management device, characterized in that calculating a first reference value for each battery bank. According to claim 13,
Setting the ranking of each of the plurality of battery banks based on a first reference value, which is a value of the corrected first value of each of the plurality of battery banks relative to the average value of the corrected first values of the plurality of battery banks,
The plurality of battery banks are ranked according to the order in which the first reference value is higher, and among the plurality of battery banks, the first battery bank is ranked first, the second battery bank is ranked second, and the third battery is ranked last. A method of operating a battery management device characterized by determining a bank. According to claim 14,
Diagnosing at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks
Calculate a first deviation, which is the difference between the first reference value of the first battery bank and the first reference value of the second battery bank,
Calculate a second deviation, which is the difference between the first reference value of the second battery bank and the first reference value of the third battery bank,
A method of operating a battery management device, characterized in that diagnosing the first battery bank based on a second reference value that is a value of the first deviation compared to the second deviation. According to claim 15,
Diagnosing at least one battery bank among the plurality of battery banks based on the ranking of each of the plurality of battery banks
A battery management device characterized in that it diagnoses the first battery bank when the first reference value of the first battery bank exceeds the first threshold and the second reference value of the first battery bank exceeds the second threshold. How it works.

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