KR20240037104A - 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 the battery and generates voltage change information per unit time of the battery, and determines whether the voltage change information per unit time of the battery exceeds a threshold. It may include a controller that generates a count value based on the battery status and performs diagnosis of the battery when the count value exceeds a threshold count value.

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. Electric vehicle batteries can generate heat due to chemical reactions that occur during the charging and discharging process, and this heat can damage the performance and lifespan of the battery. Therefore, a battery management system (BMS) that monitors the temperature, voltage, and current of the battery is operated to diagnose and control the state of the battery.

However, these battery management devices require considerable physical time to analyze and manage the battery data to diagnose battery deterioration by analyzing the battery life (SOH, State of Health) based on the measured battery data, so it can be used in real time. There is a problem of failing to diagnose and overlooking battery deterioration.

One purpose of the embodiments disclosed in this document is to provide a battery management device that can diagnose battery deterioration early by determining whether battery voltage data exceeds a threshold count value and prevent fire by improving the efficiency and speed of battery diagnosis. and providing its operation method.

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 the battery and generates voltage change information per unit time of the battery, and determines whether the voltage change information per unit time of the battery exceeds a threshold. It may include a controller that generates a count value based on the battery status and performs diagnosis of the battery when the count value exceeds a threshold count value.

According to one embodiment, the controller may increase the count value when the voltage change information per unit time of the battery exceeds the threshold.

According to one embodiment, the voltage change information per unit time includes the amount of voltage change per unit time of the battery, and the voltage measuring unit is from a first time when charging of the battery starts to a second time when charging of the battery is completed. The amount of voltage change per unit time of the battery can be calculated.

According to one embodiment, the controller calculates the median value of the voltage change per unit time of the battery according to the time, the amount of voltage change per unit time of the battery according to the time, and the per unit time of the battery according to the time. Based on the median of the voltage changes, the absolute deviation of the median of the voltage changes per unit time of the battery can be calculated.

According to one embodiment, the controller may set the threshold by adding a predetermined scale constant to the absolute deviation of the median value of the voltage change per unit time of the battery.

According to one embodiment, the controller may diagnose deterioration of the battery when the count value of the change in voltage per unit time of the battery over time exceeds a threshold count value.

A method of operating a battery management device according to an embodiment disclosed in this document includes measuring the voltage of a battery, generating voltage change information per unit time of the battery, and a threshold value of the voltage change information per unit time of the battery. determining whether the voltage change information per unit time of the battery exceeds a threshold, generating a count value based on whether the count value exceeds the threshold count value, and determining whether the voltage change information per unit time of the battery exceeds a threshold. It may include performing a diagnosis.

According to one embodiment, the step of generating a count value based on whether the voltage change information per unit time of the battery exceeds the threshold includes the step of generating a count value when the voltage change information per unit time of the battery exceeds the threshold. The count value can be increased.

According to one embodiment, the step of generating the voltage change information per unit time of the battery generates the amount of voltage change per unit time of the battery, and starts from a first time when charging of the battery starts to a second time when charging of the battery is completed. It is possible to calculate the amount of voltage change per unit time of the battery up to this point.

According to one embodiment, the step of determining whether the voltage change information per unit time of the battery exceeds a threshold includes calculating the median value of the voltage change per unit time of the battery according to the time, and calculating the median value of the voltage change per unit time of the battery according to the time. Based on the voltage change per unit time and the median of the voltage change per unit time of the battery over time, the absolute deviation of the median of the voltage change per unit time of the battery may be calculated.

According to one embodiment, the step of determining whether the voltage change information per unit time of the battery exceeds the threshold is determined by adding a predetermined scale constant to the absolute deviation of the median value of the voltage change per unit time of the battery to determine the threshold value. You can set it.

According to one embodiment, performing diagnosis of the battery based on whether the count value exceeds a threshold count value may include determining that the count value of the amount of voltage change per unit time of the battery over time exceeds the threshold count value. In this case, deterioration of the battery can be diagnosed.

According to the battery management device and its operating method according to an embodiment disclosed in this document, battery degradation is diagnosed early by determining whether battery voltage data exceeds a threshold count value, and the efficiency and speed of battery diagnosis are improved. The purpose is to provide a battery management device and its operation method that can prevent fires.

1 is a diagram showing a battery pack according to an embodiment disclosed in this document.
FIG. 2 is a diagram for specifically explaining the configuration of a battery management device according to an embodiment disclosed in this document.
3 is a diagram showing voltage data of a battery cell according to an embodiment disclosed in this document.
4 is a graph showing the amount of change in voltage of a battery cell over time according to an embodiment disclosed in this document.
Figure 5 is a flowchart showing a method of operating a battery management device according to an embodiment disclosed in this document.
Figure 6 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 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.

The battery module 100 may include a plurality of battery cells 110, 120, 130, and 140. Although the plurality of battery cells is shown in FIG. 1 as four, the battery module 100 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 cells.

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 a plurality of battery cells 110, 120, 130, and 140, for example. , the target device may be an electric vehicle (EV) or an energy storage system (ESS), but is not limited thereto.

A plurality of battery cells (110, 120, 130, 140) are the basic units of a battery that can be used by charging and discharging electrical energy, and include a lithium-ion (Li-ion) battery, a lithium-ion polymer (Li-ion polymer) battery, and a nickel battery. It may be a cadmium (Ni-Cd) battery, a nickel hydride (Ni-MH) battery, etc., but is not limited thereto. Meanwhile, in FIG. 1, there is shown a single battery module 100, but depending on the embodiment, the battery module 100 may be comprised of a plurality of battery modules 100.

A battery management system (BMS) 200 determines the lifespan of a plurality of battery cells 110, 120, 130, and 140 based on temperature and voltage data of the plurality of battery cells 110, 120, 130, and 140. (SOH, State of Health) can be predicted. The battery management device 200 removes noise from battery data of the plurality of battery cells 110, 120, 130, and 140, and configures the plurality of battery cells 110 for each temperature and charge/discharge rate of the battery based on the data from which the noise has been removed. , 120, 130, 140) lifespan (SOH) can be predicted.

The battery management device 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 a plurality of battery cells 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.

In addition, the battery management device 200 can monitor the voltage, current, temperature, etc. of the battery module 100 and/or each of the plurality of battery cells 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 may calculate a parameter indicating the state of the battery module 100, for example, state of charge (SOC), based on monitored measured values such as voltage, current, and temperature.

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.

The battery management device 200 may calculate a cell balancing time for each of the plurality of battery cells 110, 120, 130, and 140. Here, the cell balancing time may be defined as the time required to balance battery cells. For example, the battery management device 200 may calculate the cell balancing time based on the SOC, battery capacity, and balancing efficiency of each of the plurality of battery cells 110, 120, 130, and 140.

As the period of use or number of uses of the plurality of battery cells 110, 120, 130, and 140 increases, the capacity may decrease, internal resistance may increase, and various factors of the battery may change. The battery management device 200 may calculate the lifespan of the battery based on data on various factors that change as the battery deteriorates. Specifically, the battery management device 200 determines the SOH of the plurality of battery cells 110, 120, 130, and 140 based on data on various factors that change as the plurality of battery cells 110, 120, 130, and 140 deteriorate. can be calculated. SOH is an indicator that can indicate the health or lifespan of the battery in its current state compared to its initial state. The moment when SOH reaches 0% can be defined as the end of life (EOL). Additionally, the end of life of the battery may also be the point when the capacity of the battery reaches below the guaranteed capacity. For example, the battery management device 200 monitors the internal resistance, impedance, conductance, and capacity of the plurality of battery cells 110, 120, 130, and 140 as they deteriorate. , the SOH of the plurality of battery cells 110, 120, 130, and 140 may be calculated based on at least one factor of voltage, self-discharge current, charging performance, and number of charging and discharging.

Figure 2 is a diagram for explaining in detail the configuration of a battery management device according to an embodiment disclosed in the document.

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

The voltage measurement unit 210 may measure the voltage of each of the plurality of battery cells 110, 120, 130, and 140 inside the battery module 100. Specifically, the voltage measurement unit 210 may repeatedly measure the voltage of each of the plurality of battery cells 110, 120, 130, and 140 at a specific period. The voltage measurement unit 210 may measure the voltage of each of the plurality of battery cells 110, 120, 130, and 140 and generate voltage data of each of the plurality of battery cells 110, 120, 130, and 140.

The voltage measurement unit 210 may start measuring the voltage per unit time of the plurality of battery cells (110, 120, 130, and 140) from the first time when charging of the plurality of battery cells (110, 120, 130, and 140) begins. there is. In addition, depending on the embodiment, the voltage measurement unit 210 measures the units of the plurality of battery cells 110, 120, 130, and 140 until the second time when charging of the plurality of battery cells 110, 120, 130, and 140 is completed. You can stop measuring voltage per hour.

The voltage measurement unit 210 measures the voltage of each of the plurality of battery cells 110, 120, 130, and 140 to calculate the amount of voltage change per unit time of each of the plurality of battery cells 110, 120, 130, and 140. there is. For example, the voltage measurement unit 210 may generate the amount of voltage change per second for each of the plurality of battery cells 110, 120, 130, and 140. Depending on the embodiment, the voltage measurement unit 210 may calculate the amount of voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 from a first time point to a second time point.

The controller 220 may detect a voltage change in one of the plurality of battery cells 110, 120, 130, and 140. Depending on the embodiment, the controller 220 may identify a battery cell in which the voltage change rate of any one of the plurality of battery cells 110, 120, 130, and 140 is greater than or equal to a threshold value.

3 is a diagram showing voltage data of a battery cell according to an embodiment disclosed in this document.

Referring to FIG. 3, the voltage measurement unit 210 may record the voltage before charging of each of the plurality of battery cells 110, 120, 130, and 140. The voltage can be recorded after each full charge. The voltage measurement unit 210 may calculate the total voltage change (V) of each of the plurality of battery cells 110, 120, 130, and 140. Additionally, the voltage measurement unit 210 may record the time (Sec) required to fully charge each of the plurality of battery cells 110, 120, 130, and 140.

4 is a graph showing the amount of change in voltage of a battery cell over time according to an embodiment disclosed in this document.

Referring to FIG. 4, the controller 220 may calculate the amount of voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 over time.

The controller 220 may calculate the median of the voltage change per unit time for each of the plurality of battery cells 110, 120, 130, and 140. Depending on the embodiment, the controller 220 calculates the total charge of each of the plurality of battery cells (110, 120, 130, and 140) relative to the time (Sec) required to fully charge each of the plurality of battery cells (110, 120, 130, and 140). Based on the voltage change (V), the median of the voltage change per second (V/Sec) of each of the plurality of battery cells 110, 120, 130, and 140 can be calculated.

The controller 220 determines the amount of voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 over time and the amount of voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 over time. Based on the median value of , the absolute deviation (MAD) of the median of the voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 can be calculated. Specifically, the controller 220 may calculate the absolute deviation of the median value of the voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 based on [Equation 1] below.

[Equation 1]

[Equation 1] is a formula for calculating the absolute deviation of the median. The absolute deviation of the median means the median of the observed values minus the median. Here, i is an index indicating the order of each observation value, and may be 1 or more and n or less. Here, median() is a function that outputs the median of the input values.

Controller 220 is You can enter the voltage change per unit time of the battery cell over time. For example, controller 220 You can enter the amount of voltage change per second of the battery cell over time. Additionally, the controller 220 You can enter the median value (V/Sec) of the voltage change per unit time for each battery cell. For example, controller 220 You can enter the median value (V/Sec) of voltage change per second for each battery cell. The controller 220 inputs the voltage change per unit time and the median value (V/Sec) of the voltage change per unit time of the battery cell over time into [Equation 1] to form a plurality of battery cells 110, 120, 130, and 140. The absolute deviation of the median value of the voltage change per unit time can be calculated.

The controller 220 may set a threshold by adding a predetermined scale constant (Scaling) to the absolute deviation of the median value of the voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140. Specifically, the controller 220 can set the scale constant based on [Equation 2] below.

[Equation 2]

In [Equation 2], erfcinv(a) is the inverse complementary error function, and a is a constant. For example, if a is 3/2, erfcinv(3/2) is the output value of the inverse complementary error function for the input value 3/2. The controller 220 can calculate the scale constant by inputting 3/2 into a.

The controller 220 may calculate the 'voltage change amount deviation' by multiplying the absolute deviation (MAD) of the median value of the voltage change per unit time of each of the plurality of battery cells 110, 120, 130, and 140 by a scale constant. That is, the controller 220 is " * ‘Voltage change deviation’ can be calculated through ‘Scaling’.

The controller 220 may calculate the threshold by adding the median value (V/Sec) of the voltage change per unit time for each battery cell multiplied by three times the deviation of the voltage change. That is, the controller 220 can calculate the threshold value by calculating 'median value + 3*voltage change amount deviation'.

Additionally, the controller 220 may calculate the lower threshold value by subtracting the median value (V/Sec) of the voltage change per unit time for each battery cell multiplied by three times the voltage change deviation. That is, the controller 220 can calculate the lower threshold value by calculating 'median value - 3*voltage change amount deviation'.

The controller 220 may determine whether the median of the voltage change per unit time of each of the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold. Here, the threshold can be defined as a standard by which extreme results can be judged as ‘abnormal’. In other words, the threshold can be defined as a criterion that indicates how much the data contradicts a specific statistical model. For example, the controller 220 may determine whether the median of the voltage changes of the plurality of battery cells 110, 120, 130, and 140 from a first time point to a second time point exceeds a threshold.

The controller 220 may increase the count value when the median value of the voltage change per unit time for each of the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold.

The controller 220 may determine whether the count value of each of the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold value. That is, the controller 220 may determine whether the continuous count value of the battery exceeding the threshold count value generated for a predetermined period of time exceeds a preset threshold count value. When the count value of the voltage change amount per unit time of the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold count value, the controller 220 Degeneration can be diagnosed. For example, the controller 220 maintains the median value of the voltage change per unit time of any one battery cell among the plurality of battery cells 110, 120, 130, and 140 for several seconds to tens of seconds beyond the threshold. In this case, deterioration of the battery cell can be diagnosed.

Additionally, the controller 220 may record battery diagnosis information for battery cells whose count value exceeds the threshold count value.

As described above, according to the battery management device 200 according to an embodiment disclosed in this document, battery degradation is diagnosed early by determining whether battery voltage data exceeds a threshold count value, and battery diagnosis efficiency and speed are determined. Fires can be prevented by improving

Additionally, the battery management device 200 can improve the accuracy of battery diagnosis and predict the occurrence of diagnosis by analyzing the point and trend at which the continuous count value of battery voltage data increases beyond the threshold count value.

Figure 5 is a flowchart showing a method of operating a battery management device according to an embodiment disclosed in this document. Hereinafter, the operation method of the battery management device 200 will be described in detail with reference to FIGS. 1 to 4.

Since the battery management device 200 may be substantially the same as the battery management device 200 described with reference to FIGS. 1 to 4, it will be briefly described below to avoid duplication of description.

Referring to FIG. 5, the operating method of the battery management device 200 includes measuring the voltage of a plurality of battery cells (S101), generating voltage change information per unit time of the plurality of battery cells (S102), and a plurality of battery cells. Step of determining whether the voltage change information per unit time of the battery cells exceeds the threshold (S103), generating a count value based on whether the voltage change information per unit time of the plurality of battery cells exceeds the threshold ( S104) and performing diagnosis of a plurality of battery cells based on whether the count value exceeds the reference value (S105).

Hereinafter, steps S101 to S105 will be described in detail.

In step S101, the voltage measurement unit 210 may measure the voltage of each of the plurality of battery cells 110, 120, 130, and 140 inside the battery module 100. In step S101, specifically, the voltage measurement unit 210 may repeatedly measure the voltage of each of the plurality of battery cells 110, 120, 130, and 140 at a specific cycle. In step S101, the voltage measurement unit 210 measures the voltage of each of the plurality of battery cells 110, 120, 130, and 140 to generate voltage data for each of the plurality of battery cells 110, 120, 130, and 140. You can.

In step S101, the voltage measurement unit 210 measures the voltage per unit time of the plurality of battery cells 110, 120, 130, and 140 from the first time when charging of the plurality of battery cells 110, 120, 130, and 140 begins. You can start measuring. In step S101, depending on the embodiment, the voltage measurement unit 210 measures the plurality of battery cells 110, 120, 130, and 140) can stop measuring the voltage per unit time.

In step S102, the voltage measurement unit 210 measures the voltage of each of the plurality of battery cells 110, 120, 130, and 140 to determine the voltage change per unit time of each of the plurality of battery cells 110, 120, 130, and 140. can be calculated. In step S102, for example, the voltage measurement unit 210 may generate the amount of voltage change per second for each of the plurality of battery cells 110, 120, 130, and 140. In step S102, depending on the embodiment, the voltage measurement unit 210 may calculate the amount of voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 from a first time point to a second time point.

In step S102, the voltage measurement unit 210 may record the voltage before charging of each of the plurality of battery cells 110, 120, 130, and 140, and the voltage of each of the plurality of battery cells 110, 120, 130, and 140. The voltage can be recorded only after charging. In step S102, the voltage measurement unit 210 may calculate the total voltage change (V) of each of the plurality of battery cells 110, 120, 130, and 140. Additionally, the voltage measurement unit 210 may record the time (Sec) required to fully charge each of the plurality of battery cells 110, 120, 130, and 140.

In step S103, the controller 220 may detect a voltage change in one of the plurality of battery cells 110, 120, 130, and 140. Depending on the embodiment, in step S103, the controller 220 may identify a battery cell in which the voltage change rate of any one of the plurality of battery cells 110, 120, 130, and 140 is greater than or equal to a threshold value.

In step S103, the controller 220 may calculate the amount of voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 over time. In step S103, the controller 220 may calculate the median of the voltage change per unit time for each of the plurality of battery cells 110, 120, 130, and 140. In step S103, depending on the embodiment, the controller 220 compares the time (Sec) required to fully charge each of the plurality of battery cells 110, 120, 130, and 140. ) Based on each total voltage change (V), the median of the voltage change per second (V/Sec) of each of the plurality of battery cells 110, 120, 130, and 140 can be calculated.

In step S103, the controller 220 calculates the amount of voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 over time and the unit of the plurality of battery cells 110, 120, 130, and 140 over time. Based on the median of the voltage changes per hour, the absolute deviation (MAD) of the median of the voltage changes per unit time of the plurality of battery cells 110, 120, 130, and 140 can be calculated.

In step S103, the controller 220 You can enter the voltage change per unit time of the battery cell over time.

In step S103, the controller 220 may set a threshold by adding a predetermined scale constant (Scaling) to the absolute deviation of the median value of the voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140. .

In step S103, the controller 220 calculates the 'voltage change amount deviation' by multiplying the absolute deviation (MAD) of the median value of the voltage change per unit time of each of the plurality of battery cells 110, 120, 130, and 140 by a scale constant. You can. In step S103, that is, the controller 220 " * ‘Voltage change deviation’ can be calculated through ‘Scaling’.

In step S103, the controller 220 may calculate the threshold by adding the median value (V/Sec) of the voltage change per unit time for each battery cell multiplied by three times the voltage change deviation. That is, the controller 220 can calculate the threshold value by calculating 'median value + 3*voltage change amount deviation'.

In step S104, the controller 220 may determine whether the median voltage change per unit time of each of the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold. Here, the threshold can be defined as a standard by which extreme results can be judged as ‘abnormal’. In other words, the threshold can be defined as a criterion that indicates how much the data contradicts a specific statistical model. In step S104, for example, the controller 220 may determine whether the median of the voltage changes of the plurality of battery cells 110, 120, 130, and 140 from a first time point to a second time point exceeds a threshold.

In step S104, the controller 220 may increase the count value when the median value of the voltage change per unit time for each of the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold.

In step S105, the controller 220 may determine whether the count value of each of the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold value. In step S105, that is, the controller 220 may determine whether the continuous count value of the battery exceeding the threshold count value generated for a predetermined time exceeds a preset threshold count value. In step S105, when the count value of the voltage change per unit time of the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold count value, the controller 220 detects the plurality of battery cells 110, 120, 130. , 140) degeneration can be diagnosed. In step S105, for example, the controller 220 determines that the median value of the voltage change per unit time of any one battery cell among the plurality of battery cells 110, 120, 130, and 140 exceeds the threshold by several seconds to tens of tens of seconds. If it lasts for a second, it is possible to diagnose battery cell deterioration.

In step S105, the controller 220 may also record battery diagnosis information of a battery cell whose count value exceeds the threshold count value.

Figure 6 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. 6, 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 can store various programs related to the operation of the facility control device 200. Additionally, the memory 2200 may store operating data of the facility control 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. The memory 2200 as a volatile memory may use RAM, DRAM, SRAM, etc. The memory 2200 as a non-volatile memory 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: first battery cell
120: second battery cell
130: Third battery cell
140: fourth battery cell
200: Battery management device
210: Voltage measurement unit
220: controller
300: relay
200: computing system
2100:MCU
2200: Memory
2300: Input/output I/F
2400: Communication I/F

Claims (12)

a voltage measuring unit that measures the voltage of the battery and generates information about the voltage change per unit time of the battery; and;
A battery management device comprising a controller that generates a count value based on whether the voltage change information per unit time of the battery exceeds a threshold, and performs diagnosis of the battery when the count value exceeds the threshold count value. .
According to claim 1,
The controller increases the count value when the voltage change information per unit time of the battery exceeds the threshold.
According to claim 1,
The voltage change information per unit time includes the amount of voltage change per unit time of the battery,
The voltage measurement unit is a battery management device characterized in that it calculates the amount of voltage change per unit time of the battery from a first time when charging of the battery begins to a second time when charging of the battery is completed.
According to clause 3,
The controller calculates the median of the voltage change per unit time of the battery over the time, based on the median of the voltage change per unit time of the battery over the time and the median of the voltage change per unit time of the battery over the time. A battery management device characterized in that the absolute deviation of the median value of the voltage change per unit time of the battery is calculated.
According to clause 4,
The battery management device is characterized in that the controller sets the threshold value by adding a predetermined scale constant to the absolute deviation of the median value of the voltage change per unit time of the battery.
According to clause 5,
The controller is a battery management device characterized in that, when the count value of the change in voltage per unit time of the battery over time exceeds a threshold count value, the controller diagnoses deterioration of the battery.
measuring the voltage of the battery;
generating voltage change information per unit time of the battery;
determining whether the voltage change information per unit time of the battery exceeds a threshold;
generating a count value based on whether the voltage change information per unit time of the battery exceeds a threshold; and
A method of operating a battery management device comprising performing diagnosis of the battery based on whether the count value exceeds a threshold count value.
According to clause 7,
Generating a count value based on whether the voltage change information per unit time of the battery exceeds a threshold
A method of operating a battery management device, characterized in that when the voltage change information per unit time of the battery exceeds the threshold, the count value is increased.
According to clause 7,
The step of generating the voltage change information per unit time of the battery generates the amount of voltage change per unit time of the battery,
A method of operating a battery management device, characterized in that calculating the amount of voltage change per unit time of the battery from a first time when charging of the battery begins to a second time when charging of the battery is completed.
According to clause 9,
The step of determining whether the voltage change information per unit time of the battery exceeds the threshold is
Calculate the median of the voltage change per unit time of the battery over the time, and calculate the median of the voltage change per unit time of the battery over the time and the median of the voltage change per unit time of the battery over the time. A method of operating a battery management device, characterized in that calculating the absolute deviation of the median value of the amount of voltage change per unit time.
According to claim 10,
The step of determining whether the voltage change information per unit time of the battery exceeds a threshold is characterized by setting the threshold by adding a predetermined scale constant to the absolute deviation of the median value of the voltage change per unit time of the battery. How a battery management device works.
According to claim 11,
The step of performing diagnosis of the battery based on whether the count value exceeds a threshold count value may include deterioration of the battery when the count value of the amount of voltage change per unit time of the battery over time exceeds the threshold count value. A method of operating a battery management device, characterized in that diagnosing.

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