Battery system diagnostic device and method

Abstract

The diagnostic device and method for diagnosing whether or not there is a failure in a component configured in a battery system according to an embodiment of the present invention monitors whether or not an abnormal state has occurred in the component based on abnormal state data related to the component, measures the duration of the abnormal state if an abnormal state occurs in the component, and compares the duration with a preset reference time. If the duration is less than the reference time, checks whether or not a preset early diagnosis condition is satisfied based on the duration, and determines whether or not there is a failure in the component based on whether or not the early diagnosis condition is satisfied. As a result, it is possible to provide a high-performance, high-precision, high-efficiency, and high-reliability diagnostic device and method that can diagnose whether or not there is a failure even for temporary abnormal state data that is less than the preset reference time, and take pre-emptive action.

Description

[Technical field]

[0001] This application claims the benefit of the filing date of Korean Patent Application No. 10-2022-0096681, filed with the Korean Intellectual Property Office on August 3, 2022, and all of the contents disclosed in the documents of that Korean patent application are incorporated herein by reference.

[0002] The present invention relates to a diagnostic device and method for a battery system, and more particularly to a diagnostic device and method for diagnosing whether or not a component configured in a battery system has a malfunction. [Background technology]

[0003] In recent years, due to the depletion of fossil energy and environmental pollution, there has been growing interest in electric vehicles that utilize electrical energy without using fossil energy.

[0004] In order for an electric vehicle to run, it is necessary to drive a drive motor that requires high output. For this reason, electric vehicles generally use a battery pack in which many battery cells are connected in series, and use the electricity output from the battery pack as a power source.

[0005] In other words, since the performance of the battery in an automobile that uses electrical energy has a direct impact on the performance of the automobile, there is a need for the function of measuring the voltage and current status of the battery cells, the operating status of electrical components, etc., and monitoring these conditions.

[0006] Meanwhile, in a conventional diagnostic device, when an abnormality occurs in at least one hardware component in an electric vehicle, the abnormality must continue to occur for a preset duration before the device can determine that the abnormality has failed.

[0007] In the conventional diagnostic device, when the maintenance time is set long, it is difficult to detect minor malfunctions in parts and therefore difficult to perform pre-diagnosis. On the other hand, when the maintenance time is set short, it is possible that noise signals from the external environment are mistakenly detected as malfunctions, resulting in reduced reliability. Summary of the Invention [Problem to be solved by the invention]

[0008] SUMMARY OF THE PRESENT EMBODIMENT In order to solve the above problems, an object of the present invention is to provide a diagnostic device for a battery system which has high performance, high accuracy, high efficiency and high reliability.

[0009] Another object of the present invention to solve the above problems is to provide a method for diagnosing a battery system with high performance, high accuracy, high efficiency and high reliability. [Means for solving the problem]

[0010] In order to achieve the above object, one embodiment of the present invention relates to a battery system diagnosis method for diagnosing whether or not a component configured in a battery system has a malfunction, the method comprising the steps of: monitoring whether or not an abnormal state has occurred in the component based on abnormal state data related to the component; if an abnormal state occurs in the component, measuring the duration of the abnormal state; comparing the duration with a preset reference time; and, if the duration is less than the reference time, checking whether or not a preset early diagnosis condition is satisfied based on the duration, and judging whether or not the component has a malfunction based on whether or not the early diagnosis condition is satisfied.

[0011] Here, the step of determining whether or not the component is faulty may include a step of checking whether or not early diagnosis conditions defined including at least one of a first condition that the number of occurrences of an abnormal state is equal to or greater than a predefined first threshold, a second condition that the maintenance time exceeds a prestored longest maintenance time, and a third condition that the maintenance time is equal to or greater than a predefined second threshold are satisfied.

[0012] In this case, the step of determining whether or not the component is broken may include the step of counting the number of occurrences of the abnormal state if the maintenance time is equal to or greater than a predefined minimum maintenance time.

[0013] Here, the minimum sustained time may be defined as a range of 0.4 to 0.6 times the reference time.

[0014] Meanwhile, the step of determining whether or not the component is broken may include the step of updating the maintenance time to the longest maintenance time if the maintenance time exceeds a previously stored longest maintenance time.

[0015] Moreover, the second threshold value can be defined as being in the range of 0.7 to 0.9 times the reference time.

[0016] The method for diagnosing a battery system may further include determining that the component is faulty if the maintenance time is equal to or greater than the reference time.

[0017] In addition, the step of determining whether or not the component is faulty may include a step of diagnosing the component early even if the maintenance time is less than the reference time, and determining that the component is faulty, if the first to third conditions are satisfied.

[0018] In accordance with another embodiment of the present invention to achieve the above object, a battery system diagnostic device for diagnosing whether or not a component configured in a battery system has a malfunction includes a memory and a processor that executes at least one instruction stored in the memory, the at least one instruction including an instruction to monitor whether or not an abnormal state has occurred in the component based on abnormal state data related to the component, an instruction to measure the duration of the abnormal state if an abnormal state occurs in the component, an instruction to compare the duration with a preset reference time, and an instruction to check whether or not a preset early diagnosis condition is satisfied based on the duration if the duration is less than the reference time, and to determine whether or not the component has a malfunction based on whether or not the early diagnosis condition is satisfied.

[0019] The at least one instruction may also include an instruction to check whether early diagnosis conditions defined to include at least one of a first condition that the number of occurrences of an abnormal state is equal to or greater than a predefined first threshold, a second condition that the maintenance time exceeds a prestored longest maintenance time, and a third condition that the maintenance time is equal to or greater than a predefined second threshold are satisfied.

[0020] The at least one command may include a command to count the occurrence of the abnormal state if the sustained time is equal to or greater than a predefined minimum sustained time.

[0021] In this case, the minimum sustained time may be defined as a range of 0.4 to 0.6 times the reference time.

[0022] The at least one instruction may include an instruction to update the retention time to a longest retention time if the retention time exceeds a previously stored longest retention time.

[0023] On the other hand, the second threshold value can be defined as being in the range of 0.7 to 0.9 times the reference time.

[0024] The at least one instruction may further include an instruction to determine that the component is faulty if the maintenance time is equal to or greater than the reference time.

[0025] The at least one instruction may include an instruction to perform early diagnosis of the component and determine that the component is faulty, even if the maintenance time is less than the reference time, if the first to third conditions are satisfied. Effect of the Invention

[0026] The diagnostic device and method for diagnosing whether or not there is a failure in a component configured in a battery system according to an embodiment of the present invention monitors whether or not an abnormal state has occurred in the component based on abnormal state data related to the component, measures the duration of the abnormal state if an abnormal state occurs in the component, and compares the duration with a preset reference time. If the duration is less than the reference time, checks whether or not a preset early diagnosis condition is satisfied based on the duration, and determines whether or not there is a failure in the component based on whether or not the early diagnosis condition is satisfied. As a result, it is possible to provide a high-performance, high-precision, high-efficiency, and high-reliability diagnostic device and method that can diagnose whether or not there is a failure even for temporary abnormal state data that is less than the preset reference time, and take pre-emptive action. [Brief description of the drawings]

[0027] [Figure 1] 1 is a block diagram of a battery system to which an embodiment of the present invention can be applied; [Diagram 2] 1 is a block diagram of a battery system diagnostic device according to an embodiment of the present invention. [Diagram 3] 4 is a flow chart for explaining a method for diagnosing a battery system according to an embodiment of the present invention. FIG. [Figure 4] 4 is a flow chart illustrating a method for determining whether or not a component is faulty, among the methods for diagnosing a battery system according to an embodiment of the present invention. FIG. [Diagram 5] 4 is a flow chart for explaining an early diagnosis condition in the battery system diagnosis method according to the embodiment of the present invention. FIG. [Figure 6] 4 is a flow chart for explaining a method for diagnosing a battery system according to an embodiment of the present invention. FIG. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0028] Since the present invention can be modified in various ways and has various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, it is understood that this is not intended to limit the present invention to the specific embodiments, but includes all modifications, equivalents, or alternatives within the spirit and technical scope of the present invention. Similar reference numerals are used for similar components while describing each drawing.

[0029] 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 terms are used only to distinguish one component from another. For example, a first component may be named a second component, and similarly, a second component may be named a first component, without departing from the scope of the present invention. The term "and / or" includes a combination of multiple associated listed items or any of multiple associated listed items.

[0030] When a component is referred to as being "coupled" or "connected" to another component, it should be understood that the component may be directly coupled or connected to the other component, but there may also be other components in between. In contrast, when a component is referred to as being "directly coupled" or "directly connected" to another component, it should be understood that there are no other components in between.

[0031] The terms used in this application are merely used to describe certain embodiments and are not intended to limit the present invention. A singular expression includes a plural expression unless the context clearly indicates otherwise. In this application, the terms "include" or "have" are intended to specify the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, and are not intended to preclude the presence or additional possibility of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0032] 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 art to which the present invention belongs. Terms as defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning they have in the context of the relevant art, and should not be interpreted as having an ideal or overly formal meaning unless expressly defined in this application.

[0033] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0034] FIG. 1 is a block diagram of a battery system to which an embodiment of the present invention can be applied.

[0035] Referring to FIG. 1, a battery pack or a battery module may be configured to include a plurality of battery cells connected in series. The battery cells or the module may be connected to a load via a positive terminal and a negative terminal to perform charging and discharging operations. The most commonly used battery cell is a lithium-ion (Li-Ion) battery cell.

[0036] Such battery cells or battery modules may be interfaced with a Battery Management System (BMS).

[0037] A battery management system (BMS) monitors the current, voltage, and temperature of each battery cell or module under its control, and calculates the SOC (Status Of Charge) based on the monitoring results to control charging and discharging. Here, SOC (State of Charge) is the current charged state of a battery expressed as a percentage [%], and SOH (State of Health) is the current deterioration state of a battery expressed as a percentage [%].

[0038] In this way, the battery management system (BMS) can monitor the battery cells, read the cell voltage, and communicate it to other systems connected to the battery.

[0039] In addition, the battery management system (BMS) can monitor at least one electrical component constituting the battery system and transmit the status data to other systems. To this end, the battery management system (BMS) can include a communication module for communicating with other systems in the device included in the battery system.

[0040] The communication module of the battery management system (BMS) can communicate with other systems in the device using a controller area network (CAN). In this case, the electrical components, modules, or systems in the battery management system (BMS) are connected to each other via a CAN bus. This allows the battery management system (BMS) to remotely transmit status data acquired through monitoring the battery pack or module and at least one electrical component constituting the battery management system (BMS) to the other systems using CAN communication.

[0041] Meanwhile, the Battery Management System (BMS) balances the charge of the battery cells evenly to extend the life of the battery system.

[0042] To perform such operations, the battery management system (BMS) may include various components such as fuses, current sensing elements, thermistors, switches, and balancers, and in most cases, further includes a micro controller unit (MCU) or a battery monitoring integrated chip (BMIC) for controlling these components in conjunction with each other. Here, the BMIC may be an IC-type component that is located inside the battery management system (BMS) and measures information such as the voltage, temperature, and current of a battery cell / module. According to an embodiment, the battery management system (BMS) may be applied to an automobile.

[0043] Generally, a battery management system (BMS) works in conjunction with a battery protection device to shut off a charging / discharging circuit when an abnormality occurs in the battery. In other words, the conventional battery protection circuit shuts off the charging / discharging circuit when an abnormality occurs in any one battery cell or module, thereby restricting the use of the battery.

[0044] FIG. 2 is a block diagram of a battery system diagnostic device according to an embodiment of the present invention.

[0045] 2, the battery system diagnostic device 1000 may be one of the components of a battery management system (BMS). Thus, the diagnostic device 1000 can diagnose a failure of a component constituting the battery system. Here, the component constituting the battery system may be any one of a battery cell or a battery module, and at least one electrical component.

[0046] More specifically, the battery system diagnostic device 1000 can monitor whether abnormal status data deviating from preset condition values ​​occurs based on status data transmitted from at least one component constituting the battery system.

[0047] Furthermore, the diagnostic device 1000 can diagnose early on whether or not a component has a failure based on an abnormal phenomenon that occurs during the monitoring of the state of the component.

[0048] More specifically, when abnormal state data outside a preset condition range occurs in a component constituting a battery system, the diagnostic device 1000 can measure a maintenance time during which the abnormal state data is continuously maintained. If the maintenance time is less than a preset reference time and satisfies an early diagnosis condition, the diagnostic device 1000 can diagnose whether or not the component is faulty early based on the maintenance time.

[0049] In general, when abnormal state data occurs in at least one of the components constituting the battery system, the conventional diagnostic device diagnoses the corresponding component as having a failure only if the abnormal state data continues for a preset reference time or longer. In other words, the reliability of the diagnosis result or the usage stability of the conventional diagnostic device is determined according to the preset reference time.

[0050] For example, more specifically, when the reference time is set short in order to improve the stability of use of at least one component constituting a battery system, the conventional diagnostic device erroneously judges abnormal state data generated by a temporary noise phenomenon as being caused by a failure of the component, thereby reducing reliability.

[0051] On the other hand, in order to increase reliability, conventional diagnostic devices set a long reference time to ignore abnormal state data caused by temporary noise phenomena, but this has the disadvantage that it is difficult to detect abnormal state data caused by breakdowns early, making it difficult to take pre-emptive action.

[0052] Meanwhile, the battery system diagnosis device 1000 according to the embodiment of the present invention can determine a failure like a conventional diagnosis device when the abnormal state data related to at least one component constituting a battery system is maintained for a preset reference time or more. Even if the abnormal state data is maintained for a time shorter than the reference time, the presence or absence of a failure in the component can be determined depending on whether or not the early diagnosis condition is satisfied, thereby enabling a pre-emptive response.

[0053] To describe the diagnostic device 1000 according to an embodiment of the present invention in more detail by configuration, the diagnostic device 1000 may include a memory 100, a processor 200, a transceiver device 300, an input interface device 400, an output interface device 500 and a storage device 600.

[0054] According to an embodiment, the components 100, 200, 300, 400, 500, and 600 included in the diagnostic device 1000 are connected by a bus 700 and can communicate with each other.

[0055] 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 a read only memory (ROM) and a random access memory (RAM).

[0056] Among other things, memory 100 may contain at least one instruction that is executed by processor 200 .

[0057] According to an embodiment, the at least one command may include an command to monitor whether or not an abnormal state of the component has occurred based on abnormal state data regarding the component, an command to measure the duration of the abnormal state if an abnormal state occurs in the component, an command to compare the duration with a pre-set reference time, and an command to check whether or not a pre-set early diagnosis condition is satisfied based on the duration if the duration is less than the reference time, and to determine whether or not the component is faulty based on whether or not the early diagnosis condition is satisfied.

[0058] The at least one instruction may also include an instruction to check whether early diagnosis conditions defined to include at least one of a first condition that the number of occurrences of an abnormal state is equal to or greater than a predefined first threshold, a second condition that the maintenance time exceeds a prestored longest maintenance time, and a third condition that the maintenance time is equal to or greater than a predefined second threshold are satisfied.

[0059] The at least one command may include a command to count the occurrence of the abnormal state if the sustained time is equal to or greater than a predefined minimum sustained time.

[0060] In this case, the minimum sustained time may be defined as a range of 0.4 to 0.6 times the reference time.

[0061] The at least one instruction may include an instruction to update the retention time to a longest retention time if the retention time exceeds a previously stored longest retention time.

[0062] On the other hand, the second threshold value can be defined as being in the range of 0.7 to 0.9 times the reference time.

[0063] The at least one instruction may further include an instruction to determine that the component is faulty if the maintenance time is equal to or greater than the reference time.

[0064] The at least one instruction may include an instruction to perform early diagnosis of the component and determine that the component is faulty, even if the maintenance time is less than the reference time, if the first to third conditions are satisfied.

[0065] Meanwhile, the processor 200 may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which the method according to the embodiment of the present invention is performed.

[0066] The processor 200 is capable of executing at least one program command stored in the memory 100, as described above.

[0067] The diagnostic device according to the embodiment of the present invention has been described above. In the following, a method for diagnosing a battery system performed by a process operation in the diagnostic device will be described.

[0068] FIG. 3 is a flow chart for explaining a method for diagnosing a battery system according to an embodiment of the present invention.

[0069] Referring to FIG. 3, a diagnostic device 1000 according to an embodiment of the present invention can monitor a state of at least one component constituting a battery system (S1000).

[0070] More specifically, the diagnostic device 1000 can analyze at least one status data related to a battery cell or battery module and at least one electrical component constituting a battery system through the operation of the processor 200, and monitor whether or not an abnormal state has occurred in the above configuration.

[0071] Thereafter, when an abnormal state occurs in any one of the components, the diagnostic device 1000 can measure the duration of the abnormal state (S3000). For example, when the diagnostic device 1000 receives abnormal state data regarding any one of the components, the diagnostic device 1000 can determine the duration as the time from the occurrence of the abnormal state data to the end of the abnormal state data.

[0072] According to an embodiment, the maintenance time may refer to a time continuously measured from when the abnormal condition data is first generated to when it is terminated.

[0073] According to another embodiment, the maintenance time may be defined as the time from the first occurrence to the last occurrence when the abnormal state data occurs a preset number of times or more.

[0074] However, without being limited thereto, the maintenance time according to the present invention can be defined based on abnormal state data relating to the corresponding part.

[0075] Thereafter, the diagnostic device 1000 may determine whether or not a component is faulty based on the measured maintenance time (S5000). A method for determining whether or not a component is faulty based on the maintenance time will be described in more detail with reference to FIGS. 4 and 5 below.

[0076] FIG. 4 is a flow chart for explaining a method for determining whether or not a component has a failure, among the methods for diagnosing a battery system according to an embodiment of the present invention.

[0077] Referring to FIG. 4, the diagnostic device 1000 can compare the maintained time with a preset reference time to determine whether or not a part is broken.

[0078] More specifically, the diagnostic device 1000 compares the maintained time with a reference time, and if the maintained time is longer than but equal to the reference time (S5100), it can determine that the part has failed.

[0079] On the other hand, if the sustained time is shorter than the reference time, the diagnostic device 1000 may check whether the sustained time satisfies an early diagnosis condition (S5300).

[0080] According to one embodiment, if the sustained time satisfies an early diagnosis condition, the diagnostic device 1000 may determine that the component has failed.

[0081] According to another embodiment, if the sustained time does not satisfy the early diagnosis condition, the diagnostic device 1000 may end the diagnosis of the component for fault and return to step S1000 to continue the state monitoring.

[0082] FIG. 5 is a flow chart for explaining an early diagnosis condition in the battery system diagnosis method according to the embodiment of the present invention.

[0083] Referring to FIG. 5, the diagnostic device 1000 may check whether the sustained time satisfies an early diagnosis condition if the sustained time is shorter than a reference time, as in step S5300 described above.

[0084] Here, the early diagnosis conditions may include at least one of a first condition, a second condition, and a third condition.

[0085] More specifically, the first condition may be defined as a state in which the number of occurrences of the abnormal state is equal to or greater than a predefined first threshold, the second condition may be defined as a state in which the maintenance time of the component exceeds a predefined maximum maintenance time, and the third condition may be defined as a state in which the maintenance time of the component is equal to or greater than a predefined second threshold.

[0086] When all of the first to third conditions are satisfied (S5310, S5330, S5350), diagnostic device 1000 can determine that a failure has occurred in the part (S5500).

[0087] FIG. 6 is a flow chart for explaining a method for diagnosing a battery system according to an embodiment of the present invention.

[0088] Referring to FIG. 6, a diagnostic device 1000 according to an embodiment of the present invention can monitor whether an abnormal state occurs in at least one component constituting a battery system (S100).

[0089] Thereafter, when an abnormal state occurs in any one of the components, the diagnostic device 1000 can measure the duration of the abnormal state (S300).

[0090] The diagnostic device 1000 determines the maintenance time (T c ) can be compared with a preset reference time (Ts) (S310).

[0091] According to one embodiment, the maintenance time (T c If the time t1 is equal to or greater than the reference time, the diagnostic device can determine that the part has failed (S400).

[0092] According to another embodiment, the maintenance time (T c If the maintenance time (T c ) satisfies the early diagnosis conditions (S330).

[0093] More specifically, the diagnostic device 1000 determines the maintenance time (T c ) satisfies the minimum maintenance time (S331). Here, the minimum maintenance time can be set by a user based on the history data of previously occurring failures. For example, the minimum maintenance time can be defined as a range of 0.4 times to less than 0.6 times the reference time. According to an embodiment, the minimum maintenance time may be 0.5 times the reference time.

[0094] At this time, the above-mentioned maintenance time (T c If the minimum maintenance time is satisfied, the diagnostic device 1000 can count the number (N) of occurrences of the abnormal state of the part (N=N+1) (S332).

[0095] Thereafter, the diagnostic device 1000 may check whether the counted number of occurrences of the abnormal state (N) is equal to or greater than a first threshold (S333). Here, the first threshold may be set by a user. For example, the first threshold may be defined as 5 times.

[0096] When the number of occurrences of the abnormal state (N) is equal to or greater than a first threshold value, the diagnostic device 1000 determines the maintenance time (T c ) to the maximum duration of the abnormal state that has already occurred in the above part (T L ) (S334). Here, the longest retention time (T L ) is the duration (T cThe diagnostic device 1000 may be defined as the longest duration of the abnormal state of the component (T c ) is the longest duration that has already occurred in the above parts (T L ) is exceeded, the above maintenance time (T c ) for the maximum maintenance time (T L ) (S335).

[0097] Thereafter, the diagnostic device 1000 determines the maximum sustained time (T L ) is equal to or greater than a second threshold (S336). According to an embodiment, the second threshold can be defined as a range of 0.7 to 0.9 times the reference time. For example, the second threshold can be 0.8 times the reference time.

[0098] The diagnostic device 1000 determines the maintenance time (T c ) exceeds the second threshold, it can be determined that the component has failed (S400).

[0099] Meanwhile, in the diagnosis device according to the embodiment of the present invention, if any one of the conditions in steps S331, S333, S334, and S336 is not satisfied, the diagnosis device can return to step S100 and perform status monitoring of the component.

[0100] The above describes the diagnostic device and method for a battery system according to the embodiment of the present invention.

[0101] According to an embodiment of the present invention, a diagnostic device and method for diagnosing whether or not a component configured in a battery system has a malfunction monitors whether or not an abnormal state has occurred in the component based on abnormal state data related to the component, measures a duration of the abnormal state if an abnormal state occurs in the component, and compares the duration with a preset reference time. If the duration is less than the reference time, checks whether or not a preset early diagnosis condition is satisfied based on the duration, and determines whether or not the component has a malfunction based on whether or not the early diagnosis condition is satisfied. As a result, a high-performance, high-precision, high-efficiency, and high-reliability diagnostic device and method can be provided that is capable of early diagnosing whether or not a malfunction has occurred even for temporary abnormal state data that is less than the preset reference time, and taking pre-emptive action.

[0102] The operation of the method according to the embodiment and the experimental example of the present invention can be embodied as a computer readable program or code in a computer readable recording medium. The computer readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored. In addition, the computer readable recording medium can be distributed to computer systems connected through a network, and the computer readable program or code can be stored and executed in a distributed manner.

[0103] Additionally, the computer readable recording medium may include a hardware device specially configured to store and execute program instructions, such as a ROM, a RAM, a flash memory, etc. The program instructions may include not only machine code, such as produced by a compiler, but also high-level language code that can be executed by a computer using an interpreter, etc.

[0104] Some aspects of the invention have been described in the context of an apparatus, but it may also be presented in terms of a corresponding method, where a block or apparatus corresponds to a method step or a feature of a method step. Similarly, aspects described in the context of a method may be presented in terms of a corresponding block or item or feature of a corresponding apparatus. Some or all of the method steps may be performed by (or using) a hardware apparatus, such as, for example, a microprocessor, a programmable computer, or an electronic circuit. In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

[0105] Although the present invention has been described with reference to preferred embodiments thereof, those skilled in the art will understand that various modifications and variations of the present invention can be made without departing from the spirit and scope of the present invention as set forth in the following claims. [Explanation of symbols]

[0106] 1000: Battery system diagnostic device 100:Memory 200: Processor 300: Transmitter / receiver 400: Input interface device 500: Output interface device 600: Storage device 700: Bus

Claims

1. A method for diagnosing a battery system for diagnosing whether or not a component configured in the battery system has a fault, comprising: monitoring whether an abnormal state of the component occurs based on abnormal state data relating to the component; If an abnormal state occurs in the component, measuring the duration of the abnormal state; Comparing the maintenance time with a preset reference time; and A method for diagnosing a battery system, comprising: if the maintenance time is less than the reference time, checking whether a pre-set early diagnosis condition is satisfied based on the maintenance time, and determining whether or not the component is faulty based on whether or not the early diagnosis condition is satisfied.

2. The step of determining whether or not the part is faulty includes:

2. The method for diagnosing a battery system as described in claim 1, comprising: a step of checking whether early diagnosis conditions defined to include at least one of a first condition that the number of occurrences of an abnormal state is equal to or greater than a predefined first threshold, a second condition that the maintenance time exceeds a prestored longest maintenance time, and a third condition that the maintenance time is equal to or greater than a predefined second threshold are satisfied.

3. The step of determining whether or not the part is faulty includes: The method for diagnosing a battery system according to claim 2 , further comprising the step of: counting the number of occurrences of the abnormal state when the maintenance time is equal to or longer than a predefined minimum maintenance time.

4. The minimum maintenance time is The method for diagnosing a battery system according to claim 3 , wherein the reference time is defined in a range of 0.4 to 0.6 times the reference time.

5. The step of determining whether or not the part is faulty includes: The method of claim 2 , further comprising: if the maintenance time exceeds a previously stored maximum maintenance time, updating the maintenance time to the maximum maintenance time.

6. The second threshold value is The method for diagnosing a battery system according to claim 2 , wherein the reference time is defined in a range of 0.7 to 0.9 times the reference time.

7. The method for diagnosing a battery system includes: The method for diagnosing a battery system according to claim 2 , further comprising the step of: determining that the component is faulty if the maintenance time is equal to or greater than the reference time.

8. The step of determining whether or not the part is faulty includes:

3. The method for diagnosing a battery system according to claim 2, further comprising the step of: diagnosing the component early even if the maintenance time is less than the reference time, and determining that the component is faulty, if the first to third conditions are satisfied.

9. A battery system diagnostic device for diagnosing whether or not a component configured in a battery system has a malfunction, The diagnostic device comprises: memory; and a processor for executing at least one instruction stored in the memory; The at least one instruction: an instruction to monitor whether or not an abnormal state occurs in the component based on abnormal state data related to the component; a command to measure a duration of an abnormal state if the abnormal state occurs in the component; An instruction to compare the maintained time with a preset reference time; and A diagnostic device for a battery system including an instruction to, if the maintenance time is less than the reference time, check whether a preset early diagnosis condition is satisfied based on the maintenance time, and determine whether or not the component is faulty based on whether or not the early diagnosis condition is satisfied.

10. The at least one instruction:

10. The battery system diagnostic device of claim 9, further comprising an instruction to check whether early diagnosis conditions defined to include at least one of a first condition that the number of occurrences of an abnormal state is equal to or greater than a predefined first threshold, a second condition that the maintenance time exceeds a prestored longest maintenance time, and a third condition that the maintenance time is equal to or greater than a predefined second threshold are satisfied.

11. The at least one instruction: The diagnostic device for a battery system according to claim 10 , further comprising an instruction to count the number of occurrences of the abnormal state when the maintenance time is equal to or longer than a predefined minimum maintenance time.

12. The minimum maintenance time is The battery system diagnostic device according to claim 11, wherein the reference time is defined in a range of 0.4 to 0.6 times the reference time.

13. The at least one instruction: The diagnostic device for a battery system according to claim 10 , further comprising an instruction to update the maintenance time to the longest maintenance time if the maintenance time exceeds a previously stored longest maintenance time.

14. The second threshold value is The battery system diagnostic device according to claim 10, wherein the reference time is defined in a range of 0.7 to 0.9 times the reference time.

15. The at least one instruction: The battery system diagnostic device according to claim 10 , further comprising an instruction for determining that the component is faulty if the maintained time is equal to or greater than the reference time.

16. The at least one instruction: The battery system diagnostic device according to claim 10, further comprising an instruction to perform an early diagnosis of the component and determine that the component is faulty, even if the maintenance time is less than the reference time, if the first to third conditions are satisfied.

Images