KR20240041565A - Apparatus and method for detecting of abnormal battery - Google Patents

Abstract

The apparatus and method for detecting a defective battery according to an embodiment of the present invention selects a plurality of battery cells that have been charged and discharged a preset number of times and individually determines whether the battery is defective using the recovery voltage of each of the plurality of battery cells. By doing so, it is possible to provide a highly efficient and highly reliable abnormal battery detection device and method that pre-classifies abnormal batteries in which early deterioration of battery capacity is suspected in the early stages of charging and discharging and uses them as a judgment indicator for defective batteries.

Description

Abnormal battery detection device and method {APPARATUS AND METHOD FOR DETECTING OF ABNORMAL BATTERY}

The present invention relates to an apparatus and method for detecting a defective battery. More specifically, the present invention relates to an apparatus and method for detecting a defective battery. More specifically, the present invention relates to an apparatus and method for detecting a defective battery, which determines a battery cell suspected of capacity deterioration due to defect as an abnormal battery and classifies it at an early stage using the recovery voltage value of each of a plurality of battery cells. It relates to a detection device and method.

Recently, as interest in eco-friendly technology has increased, the development and demand for batteries, a source of electrical energy, are rapidly increasing.

Batteries are being applied to many industries, including mobile applications, automobiles, robots, and energy storage devices, as a response to today's environmental regulations and high oil price issues.

Generally, battery cells are provided as rechargeable secondary batteries, but these batteries have the disadvantage of reducing battery capacity because the inside of the battery cell deteriorates when used for a long time.

Among them, lithium-ion batteries, the most widely used secondary battery, undergo internal characteristic changes such as growth of the SEI (Solid Electrolyte Interphase) layer and loss of lithium-ion activating materials due to deterioration, so they are produced on the same basis under the same conditions. There is a disadvantage in that variable capacity changes occur even among battery cells due to capacity loss and increase in internal resistance.

Korean Patent Publication No. 10-2009-0129243

The purpose of the present invention to solve the above problems is to provide a highly efficient and highly reliable abnormal battery detection device.

Another purpose of the present invention to solve the above problems is to provide a highly efficient and highly reliable abnormal battery detection method.

An abnormal battery detection device according to an embodiment of the present invention for achieving the above object includes a memory and a processor that executes at least one command in the memory, wherein the at least one command is charged and discharged a preset number of times. A command for selecting a plurality of battery cells, a command for calculating a recovery voltage for each of the plurality of battery cells, and determining at least one of the plurality of battery cells as an abnormal battery based on the recovery voltage. Contains commands.

Here, the abnormal battery may include a battery suspected of premature deterioration of battery capacity.

In addition, the at least one command may include a command for calculating a recovery voltage of each of the plurality of battery cells, a command for calculating a battery capacity ratio to the recovery voltage of each of the plurality of battery cells, and an individual command for the plurality of battery cells. It may further include a command to determine whether the battery is abnormal by comparing the deviation between the recovery voltage to battery capacity ratio with a preset threshold.

At this time, at least one battery cell whose deviation is greater than or equal to a preset threshold may be determined to be an abnormal battery.

Additionally, the preset number of times may be defined as 100 or more and 200 or less.

Additionally, the recovery voltage may be defined as the difference between the open circuit voltage (OCV) measured after rest and the terminal voltage at the time discharge is completed.

The plurality of battery cells may be produced under the same conditions.

In order to achieve the above object, a method of detecting a faulty battery performed in a faulty battery detection device according to another embodiment of the present invention includes the steps of selecting a plurality of battery cells that have been charged and discharged a preset number of times, each of the plurality of battery cells It includes calculating a recovery voltage for , and determining at least one of the plurality of battery cells as an abnormal battery based on the recovery voltage.

At this time, the abnormal battery may include a battery suspected of premature deterioration of battery capacity.

Meanwhile, the step of individually determining whether a battery is defective using the recovery voltage of each of the plurality of battery cells includes calculating the recovery voltage of each of the plurality of battery cells, the recovery voltage of each of the plurality of battery cells It may include calculating a ratio of battery capacity to battery capacity and determining whether the battery is abnormal by comparing a deviation between the ratio of battery capacity to recovery voltage of each of the plurality of battery cells with a preset threshold value.

At this time, at least one battery cell whose deviation is greater than or equal to the preset threshold may be determined to be an abnormal battery.

Additionally, the preset number of times may be defined as 100 or more and 200 or less.

Additionally, the recovery voltage may be defined as the difference between the open circuit voltage (OCV) value measured after rest and the terminal voltage at the time discharge is completed.

The plurality of battery cells may be produced under the same conditions.

The apparatus and method for detecting a defective battery according to an embodiment of the present invention selects a plurality of battery cells that have been charged and discharged a preset number of times and individually determines whether the battery is defective using the recovery voltage of each of the plurality of battery cells. By doing so, it is possible to provide a highly efficient and highly reliable abnormal battery detection device and method that pre-classifies abnormal batteries in which early deterioration of battery capacity is suspected in the early stages of charging and discharging and uses them as a judgment indicator for defective batteries.

1 is a block diagram of a defective battery detection device according to an embodiment of the present invention.
Figure 2 is a block diagram of a battery system to which an embodiment of the present invention can be applied.
Figure 3 is a flowchart of a method for detecting a defective battery using a defective battery detection device according to an embodiment of the present invention.
Figure 4 is a discharge graph over time for the number of charge and discharge cycles of target battery cells according to an experimental example of the present invention.
Figure 5 is a graph measuring the recovery voltage after discharge according to the number of charge and discharge cycles of target battery cells according to an experimental example of the present invention.
Figure 6 is a graph of the battery capacity ratio compared to the recovery voltage value of target battery cells charged and discharged a preset number of times according to an experimental example of the present invention.
Figure 7 is a table summarizing battery capacity measurement values and rankings when the recovery voltage and charge/discharge number of target battery cells are 200 and 700 according to an experimental example of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention.

While describing each drawing, similar reference numerals are used for similar components.

Terms such as first, second, A, B, etc. may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be named a second component, and similarly, the second component may also be named a first component without departing from the scope of the present invention. The term “and/or” includes any of a plurality of related stated items or a combination of a plurality of related stated items.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. On the other hand, when it is mentioned that a component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

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 present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached drawings.

1 is a block diagram of a defective battery detection device according to an embodiment of the present invention.

Referring to FIG. 1, the abnormal battery detection device according to an embodiment of the present invention can calculate the ratio of battery capacity to recovery voltage for a plurality of battery cells that have been charged and discharged a preset number of times.

Thereafter, the abnormal battery detection device may classify and manage at least one battery cell in which early deterioration of battery capacity is predicted to be an abnormal battery based on the deviation of the calculated values. Here, the plurality of battery cells may be cells produced under the same conditions.

If the abnormal battery detection device according to an embodiment of the present invention is described in more detail by hardware configuration, the abnormal battery detection device includes a memory 100, a processor 200, a transmitting and receiving device 300, an input interface device 400, and an output interface. It may include a device 500 and a storage device 600.

According to an embodiment, each of the components 100, 200, 300, 400, 500, and 600 included in the abnormal battery detection device may be connected by a bus 700 and communicate with each other.

Among the components 100, 200, 300, 400, 500, and 600, the memory 100 and the storage device 600 may be composed of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory 100 and the storage device 600 may be composed of at least one of read only memory (ROM) and random access memory (RAM).

Among these, the memory 100 may include at least one instruction executed by the processor 200.

According to an embodiment, the at least one instruction is: It includes a command to select a plurality of battery cells that have been charged and discharged a preset number of times, and a command to individually determine whether a battery is defective using the recovery voltage value of each of the plurality of battery cells.

Here, the abnormal battery may be a battery cell suspected of premature battery capacity deterioration due to defects.

In addition, the at least one command may include a command for calculating a recovery voltage value of each of the plurality of battery cells, a command for calculating a battery capacity ratio value to the recovery voltage value of each of the plurality of battery cells, and a command for calculating the recovery voltage value of each of the plurality of battery cells. It may further include a command to determine whether the battery is abnormal by comparing the deviation between the battery capacity ratio values of the individual recovery voltage values of the cells with a threshold value.

At this time, at least one battery cell whose deviation is greater than or equal to the threshold value may be determined to be an abnormal battery.

Additionally, the preset number of times may be 100 or more to less than 200.

In addition, the recovery voltage value may be defined as the difference between the open circuit voltage (OCV) value measured after rest for each of the plurality of battery cells and the terminal voltage at the time of completion of discharge. .

The plurality of battery cells may be produced under the same conditions.

Meanwhile, the processor 200 may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. .

As described above, the processor 200 may execute at least one program command stored in the memory 100.

As described above, a plurality of battery cells in the abnormal battery detection device according to an embodiment of the present invention may be cells produced under the same conditions.

According to one embodiment, the abnormal battery detection device may be used in the step of inspecting whether mass-produced battery cells produced under the same conditions are defective. Accordingly, the abnormal battery detection device may pre-classify at least one battery cell in which early deterioration of battery capacity is predicted to be an abnormal battery, and may be used as an early indicator for determining a defective battery.

In this regard, the conventional inspection method for determining whether mass-produced battery cells are defective is to randomly select at least one battery among battery cells mass-produced under the same conditions and perform multiple charging and discharging operations on the at least one random battery. There is a method to determine whether capacity has deteriorated by measuring the battery capacity after performing the test several times.

In other words, the conventional method of inspecting whether mass-produced battery cells are defective measures the battery capacity of battery cells that have been charged and discharged a preset number of times, compares this with the initial battery capacity of each of the battery cells, and determines the initial battery capacity. If the calculated battery capacity ratio is below the threshold, it is determined to be a defective battery.

At this time, the preset number of charging and discharging may be applied differently depending on the surrounding measured temperature.

For example, in an environment of 45°C, the battery can be charged and discharged for 700 cycles.

Additionally, charging and discharging can be performed for 1000 cycles in an environment of 25°C or higher and 35°C or lower. Here, 1 cycle can be defined as charging and discharging the battery once.

As such, in general, the conventional method of inspecting mass-produced battery cells for defects requires charging and discharging at least 700 times to determine whether the battery is defective due to capacity deterioration. Therefore, the conventional method of inspecting whether mass-produced batteries are defective has the disadvantage of requiring a long time and high cost during the inspection process.

Meanwhile, the abnormal battery detection device according to an embodiment of the present invention individually calculates the ratio of battery capacity to recovery voltage of a plurality of battery cells randomly selected among mass-produced battery cells, and reduces battery capacity by performing charging and discharging a smaller number of times than before. Batteries that are predicted to deteriorate early can be classified and managed early. Additionally, as described above, the classified defective battery can be used as an early indicator for determining a defective battery.

Meanwhile, the abnormal battery detection device according to another embodiment may be applied to a battery system including at least one battery cell produced under the same conditions.

More specifically, the abnormal battery detection device is applied to a battery protection device in a battery system to classify at least one battery cell in which early deterioration of battery capacity is predicted as an abnormal battery, thereby preventing charging and discharging of the battery pack or module. It can be used as a management indicator for a battery management system for control.

Figure 2 is a block diagram of a battery system to which an embodiment of the present invention can be applied.

Referring to FIG. 2, a battery pack or battery module may be configured to include a plurality of battery cells connected in series. A battery cell or module can perform charging and discharging operations by being connected to a load through a positive and negative terminal. The most commonly used battery cells are lithium-ion (Li-Ion) battery cells.

These battery cells or battery modules may be linked to a battery management system (BMS).

The battery management system (BMS) monitors the current, voltage, and temperature of each battery cell or module it manages, and can calculate SOC (Status Of Charge) and control charging and discharging based on the monitoring results. Here, SOC (State of Charge; charging rate) is expressed as the current charged state of the battery in percentage [%], and SOH (State of Health; battery life state) is expressed as the current deterioration state of the battery in percentage [%]. .

In this way, the battery management system (BMS) monitors battery cells and can read the cell voltage and transmit it to other systems connected to the battery.

Additionally, a battery management system (BMS) can monitor at least one electrical component constituting a battery system and transmit their status data to other systems. To this end, the battery management system (BMS) may include a communication module for communicating with other systems within the device included in the battery system.

The communication module of the battery management system (BMS) can communicate with other systems in the device using CAN (Controller Area Network). In this case, electrical components, modules or systems within the battery management system (BMS) are connected to each other through the CAN bus. Accordingly, the battery management system (BMS) uses CAN communication to remotely transmit status data obtained through monitoring of the battery pack or module and at least one electrical component constituting the battery management system (BMS) to another system. You can.

Meanwhile, a battery management system (BMS) evenly balances the charge of battery cells to extend the life of the battery system.

In order to perform such operations, the battery management system (BMS) may include various components such as fuses, current sensing elements, thermistors, switches, and balancers, and an MCU (Micro Controller Unit) or BMIC to interface with and control them. In most cases, an additional battery monitoring integrated chip (Battery Monitoring Integrated Chip) is included. Here, the BMIC is located inside the battery management system (BMS) and may be an IC-type component that measures information such as voltage, temperature, and current of the battery cell/module. According to embodiments, a battery management system (BMS) may be applied to an automobile or small battery.

Meanwhile, generally, a battery management system (BMS) is linked with a battery protection device, and when a battery problem occurs, the battery protection device blocks the charging and discharging circuit.

The abnormal battery detection device according to another embodiment of the present invention is applied to the battery protection device and classifies at least one battery cell in which early deterioration of battery capacity is predicted as an abnormal battery, so that the battery management system (BMS) detects the abnormality. By monitoring the battery, the charging/discharging circuit can be blocked when a problem occurs with the battery.

The abnormal battery detection device according to one embodiment and another embodiment of the present invention has been described above. Hereinafter, a method for detecting a faulty battery performed by the operation of the control unit in the faulty battery detection device will be described.

Figure 3 is a flowchart of a method for detecting a defective battery using a defective battery detection device according to an embodiment of the present invention.

Referring to FIG. 3, the abnormal battery detection device according to an embodiment of the present invention can select a plurality of battery cells produced under the same conditions (S1000). In other words, the plurality of battery cells may be produced in the same process under the same conditions and standards.

Thereafter, the abnormal battery detection device may charge and discharge a plurality of battery cells a preset number of times (S2000). For example, the preset number of times may be 100 or more and 200 or less. When the number of charge/discharge cycles is 100 or more to 200 or less, it is easy to identify the recovery voltage value between a plurality of battery cells, and the deviation of the recovery voltage value between a plurality of battery cells can increase or decrease consistently depending on the number of charge/discharge cycles. there is. Limitations on the number of charge/discharge cycles will be explained in more detail when describing the abnormal battery detection device according to the experimental example below.

Meanwhile, steps S1000 and S2000 are not limited to what is disclosed and can be executed in any order. In other words, the abnormal battery detection device can select a plurality of battery cells that have been charged and discharged a preset number of times.

The abnormal battery detection device may calculate recovery voltage values after discharge for a plurality of battery cells that have been charged and discharged a preset number of times (S3000). Here, the recovery voltage can be defined as the difference between the open circuit voltage (OCV) after rest and the terminal voltage at the time the discharge is completed.

In general, the recovery voltage value may be proportional to the number of charge and discharge cycles of the battery cell. In other words, as the number of charge/discharge cycles of a battery cell increases, the recovery voltage may also increase.

Thereafter, the abnormal battery detection device may calculate the ratio of battery capacity to recovery voltage for each of the plurality of battery cells (S4000). At this time, the battery capacity ratio may be a ratio of the battery capacity of each of the plurality of battery cells after charging and discharging is performed a preset number of times to the initial battery capacity of each of the plurality of battery cells.

At this time, the recovery voltage of the plurality of battery cells may be inversely proportional to the battery capacity ratio. To be more specific, as the number of charge and discharge cycles increases, battery cell deterioration occurs and internal resistance increases. can do. Accordingly, when the internal resistance of the battery cell increases, battery capacity may be lost and battery capacity may be reduced.

Meanwhile, as in step S3000, the recovery voltage may increase as the number of charge and discharge cycles of the battery cell increases. Accordingly, an inverse relationship may be formed between the ratio of battery capacity to recovery voltage.

Thereafter, the abnormal battery detection device may individually compare the deviation of the battery capacity to recovery voltage ratios calculated by each of the plurality of battery cells with a preset threshold.

Depending on the embodiment, the abnormal battery detection device may classify the battery cell as an abnormal battery when a battery cell having a deviation value greater than or equal to the threshold value exists (S5000).

As described above, at least one battery cell classified as a defective battery can be used as an early indicator to determine whether it is a defective battery that causes premature deterioration of battery capacity.

In other words, the abnormal battery detection device and method according to an embodiment of the present invention calculates the battery capacity ratio according to the recovery voltage, enabling advance prediction of early deterioration of battery capacity just by performing initial charging and discharging a preset number of times, Signs of abnormalities can be monitored in advance before battery failure occurs.

The above has described an apparatus and method for detecting a defective battery according to an embodiment of the present invention.

Hereinafter, an abnormal battery detection device and method will be described in more detail according to an experimental example of the present invention.

Abnormal battery classification experiment

Eight target battery cells (Cell1-Cell8) were extracted from the battery cells mass-produced under the same conditions, and the charging conditions were 4.48V, 0.7C-rate at 45℃, the discharging conditions were 3.2V, 0.5C-rate, and resting. 200 and 700 charge/discharge cycles with a duration of 10 minutes were performed.

Afterwards, the individual recovery voltage and battery capacity ratio of eight target battery cells at 200 and 700 cycles were calculated, and the relationship between recovery voltage and battery capacity ratio was confirmed.

Figure 4 is a graph of recovery voltage after discharge according to the number of charge and discharge cycles of target battery cells according to an experimental example of the present invention.

Referring to FIG. 4, (a) of FIG. 4 is a graph of recovery voltage after discharge of target battery cells when charge and discharge cycles are performed 3 times, and (b) of FIG. 4 is a graph of recovery voltages when charge and discharge cycles are performed 101 times. This is a graph of recovery voltage after discharge of the target battery cells, and (c) in Figure 4 is a graph of recovery voltage after discharge when charge and discharge cycles were performed 149 times.

Looking at Figure 4(b) and Figure 4(c), as the number of charge/discharge cycles for target battery cells produced under the same conditions increases, the open circuit voltage (OCV) after rest increases. It was confirmed that they increased together. In other words, it can be seen that the open circuit voltage of target battery cells produced under the same conditions increases as the number of charge and discharge cycles increases.

To be more specific, in general, as the number of charge/discharge cycles increases, battery cell deterioration occurs, internal resistance increases, and capacity loss may occur. Accordingly, it can be confirmed that the open circuit voltage (OCV) value in the rest period after discharge increases, as shown in (a) to (c) of FIGS. 4 above.

Meanwhile, when the open circuit voltage (OCV) value in the rest period after discharging the battery cell increases, the recovery voltage of the battery cell increases, as defined above. At this time, if the number of layer discharge cycles for the target battery cells is within a preset range of 100 to 200, only the magnitude of the voltage applied to each battery cell changes, and the recovery voltage difference between target battery cells is maintained. You can.

In summary, it can be confirmed that the target battery cells have an inverse relationship between battery capacity and recovery voltage, and that the recovery voltage difference between target battery cells remains constant even as the number of charge and discharge cycles increases.

Therefore, the abnormal battery detection device according to an experimental example of the present invention can confirm that an inverse relationship is formed between the battery capacity and recovery voltage of a plurality of battery cells as the number of charge and discharge cycles increases.

Figure 5 is a graph measuring the recovery voltage after discharge according to the number of charge and discharge cycles of 200 or less of target battery cells according to an experimental example of the present invention.

Referring to FIG. 5 , as in FIG. 4 , it can be seen that the magnitude of the recovery voltage after discharge of target battery cells increases proportionally according to the number of charge/discharge cycles.

In addition, it is easy to identify the recovery voltage between target battery cells when the number of charge and discharge is 100 or more to 200 or less, and it can be confirmed that the deviation of recovery voltage between target battery cells increases or decreases consistently depending on the number of charge and discharge cycles.

Figure 6 is a graph of the recovery voltage versus battery capacity ratio of target battery cells that have been charged and discharged a preset number of times according to an experimental example of the present invention.

Referring to FIG. 6, the ratio of battery capacity (Energy Retention) to each recovery voltage (Delta Recovery Voltage) was calculated for target battery cells that were charged and discharged 200 times.

As previously explained in FIG. 5, while a proportional relationship is formed between the number of charge/discharge cycles of the target battery cell and the recovery voltage after discharge, as the recovery voltage after discharge of the target battery cell increases, the battery capacity ratio of the target battery cell increases. A decrease can be predicted.

In Figure 6, it can be seen that an inverse relationship is formed between the recovery voltage after discharge of each target battery cell that has been charged and discharged 200 times and the battery capacity of the target battery cell.

Figure 7 is a table summarizing battery capacity measurement values and rankings when the recovery voltage and charge/discharge number of target battery cells are 200 and 700 according to an experimental example of the present invention.

Referring to FIG. 7, it can be seen that there is no significant change in the battery capacity ranking of the target battery cells when the number of charging and discharging is 200 and the battery capacity ranking of the target battery cells when the number of charging and discharging is 700.

Additionally, referring to the recovery voltage rankings of target battery cells and the battery capacity rankings of target battery cells, it can be confirmed that an inverse relationship is formed between recovery voltage and battery capacity.

In summary, it can be seen that the trend of battery capacity compared to the recovery voltage of target battery cells remains the same regardless of the number of charging and discharging.

Therefore, the abnormal battery detection device according to the embodiments and experimental examples of the present invention does not detect a defective battery by diagnosing the capacity of the battery cell after performing multiple charging and discharging as in the prior art, but detects a defective battery between the recovery voltage and the battery capacity of the target battery cell. By pre-classifying battery cells suspected of premature deterioration of battery capacity just through initial charging and discharging as abnormal batteries due to the inverse proportional tendency, it is possible to manage defective batteries with high efficiency and high reliability.

The above has described an apparatus and method for detecting a defective battery according to embodiments and experimental examples of the present invention.

The apparatus and method for detecting a defective battery according to an embodiment of the present invention selects a plurality of battery cells that have been charged and discharged a preset number of times and individually determines whether the battery is defective using the recovery voltage of each of the plurality of battery cells. By doing so, it is possible to provide a highly efficient and highly reliable abnormal battery detection device and method that pre-classifies abnormal batteries in which early deterioration of battery capacity is suspected in the early stages of charging and discharging and uses them as a judgment indicator for defective batteries.

The operation of the method according to the embodiments and experimental examples of the present invention can be implemented as a computer-readable program or code on a computer-readable recording medium. Computer-readable recording media include all types of recording devices that store data that can be read by a computer system. Additionally, computer-readable recording media can be distributed across networked computer systems so that computer-readable programs or codes can be stored and executed in a distributed manner.

Additionally, computer-readable recording media may include hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Program instructions may include not only machine language code such as that created by a compiler, but also high-level language code that can be executed by a computer using an interpreter, etc.

Although some aspects of the invention have been described in the context of an apparatus, it may also refer to a corresponding method description, where a block or device corresponds to a method step or feature of a method step. Similarly, aspects described in the context of a method may also be represented by corresponding blocks or items or features of a corresponding device. Some or all of the method steps may be performed by (or using) a hardware device, such as a microprocessor, programmable computer, or electronic circuit, for example. In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

Although the present invention has been described with reference to preferred embodiments of the present invention, those skilled in the art may make various modifications and changes to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that it is possible.

100: Memory 200: Processor
300: Transmission and reception device 400: Input interface device
500: output interface device 600: storage device
700: bus

Claims (14)

Memory; and
Including a processor executing at least one instruction in the memory,
The at least one command is:
A command to select a plurality of battery cells that have been charged and discharged a preset number of times,
A command to calculate a recovery voltage for each of the plurality of battery cells, and
An abnormal battery detection device comprising a command to determine at least one of the plurality of battery cells as an abnormal battery based on the recovery voltage. In claim 1,
An abnormal battery detection device, wherein the abnormal battery includes a battery suspected of premature deterioration of battery capacity. In claim 1,
At least one command is:
A command to calculate a recovery voltage of each of the plurality of battery cells;
A command for calculating a ratio of battery capacity to the recovery voltage of each of the plurality of battery cells; and
An abnormal battery detection device further comprising a command for determining whether a battery is abnormal by comparing a deviation between the recovery voltage-to-battery capacity ratio of each of the plurality of battery cells with a preset threshold value. In claim 3,
An abnormal battery detection device that determines at least one battery cell whose deviation is greater than or equal to the preset threshold value as an abnormal battery. In claim 1,
The preset number of times is
Abnormal battery detection device, defined as 100 or more and 200 or less cycles. In claim 1,
The recovery voltage is,
An abnormal battery detection device defined as the difference between the open circuit voltage (OCV) measured after rest and the terminal voltage at the time discharge is completed. In claim 1,
The plurality of battery cells are,
Abnormal battery detection device produced under identical conditions. A method of detecting an abnormal battery performed in an abnormal battery detection device, comprising:
selecting a plurality of battery cells that have been charged and discharged a preset number of times;
calculating a recovery voltage for each of the plurality of battery cells; and
A method for detecting a defective battery, comprising determining at least one of the plurality of battery cells as a defective battery based on the recovery voltage. In claim 8,
The battery above is
The abnormal battery includes a battery suspected of premature deterioration of battery capacity. In claim 8,
The step of individually determining whether a battery has a problem using the recovery voltage of each of the plurality of battery cells includes:
calculating a recovery voltage of each of the plurality of battery cells;
calculating a ratio of battery capacity to the recovery voltage of each of the plurality of battery cells; and
A method for detecting an abnormal battery, comprising the step of comparing a deviation between the recovery voltage to battery capacity ratio of each of the plurality of battery cells with a preset threshold value to determine whether the battery is abnormal. In claim 10,
A method for detecting an abnormal battery, wherein at least one battery cell whose deviation is greater than or equal to the preset threshold is determined to be an abnormal battery. In claim 8,
The preset number of times is
Abnormal battery detection method, defined as 100 or more and 200 or less cycles. In claim 8,
The recovery voltage is,
A method of detecting an abnormal battery, defined as the difference between the open circuit voltage (OCV) measured after rest and the terminal voltage at the time discharge is completed. In claim 8,
The plurality of battery cells are,
A method for detecting abnormal batteries produced under the same conditions.

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