Battery Diagnosis Apparatus And Method For Leakage Current Detection

Information

  • Patent Application
  • 20250035707
  • Publication Number
    20250035707
  • Date Filed
    June 19, 2023
    a year ago
  • Date Published
    January 30, 2025
    8 days ago
Abstract
An apparatus for diagnosing a battery located in a battery system including one or more batteries, the apparatus may include: at least one processor; and a memory configured to store instructions executed by the at least one processor to collect state of charge information of the battery when the battery system is in a standby mode; calculate an amount of power change of the battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; and compare the calculated amount of power change with an expected amount of discharge power of the battery and to determine whether a leakage current occurs in the battery system based on the comparison.
Description
TECHNICAL FIELD

The present invention relates to a battery diagnosis apparatus and method, and more particularly, to a battery diagnosis apparatus and method for detecting leakage current in a battery system based on an amount of power change in a standby mode state of the battery system.


BACKGROUND ART

A secondary battery is a battery that can be recharged and reused even after being discharged. The secondary battery can be used as an energy source for small devices such as mobile phones, tablet PCs and vacuum cleaners, and also used as an energy source for medium and large devices such as ESS (Energy Storage System) for automobiles and smart grids.


The secondary battery is applied to a system in a form of an assembly such as a battery module in which a plurality of battery cells are connected in series and parallel or a battery pack in which battery modules are connected in series and parallel according to system requirements. In a case of medium or large-sized devices such as electric vehicles, a high-capacity battery system in which a plurality of battery packs are connected in parallel may be applied in order to satisfy a required capacity of the device.


In order to stably operate the battery system, an insulation state of each electrical component provided in the battery system must be well maintained. If the insulation state is not maintained, leakage current may occur and a malfunction or fire may occur in the battery system and device.


As a leakage current detection technology, a method of determining whether leakage current is generated in a battery system using a leakage current detection sensor disposed at a specific location is mainly used.


However, when a minute current leaks from a battery system to a power converter (PCS) or leakage current is generated due to a ground failure in a battery assembly, the leakage current cannot be detected using the conventional technology.


Thus, as a technology capable of solving the problems of the prior art, an appropriate technology capable of accurately detecting whether leakage current occurs in a battery system without using a leakage current detection sensor is required.


SUMMARY
Technical Problem

To obviate one or more problems of the related art, embodiments of the present disclosure provide a battery diagnosis apparatus capable of detecting whether leakage current is generated in a battery system without using a leakage current detection sensor.


To obviate one or more problems of the related art, embodiments of the present disclosure also provide a battery diagnosis method using such a battery diagnosis apparatus.


Technical Solution

In order to achieve the objective of the present disclosure, an apparatus for diagnosing a battery located in a battery system including one or more batteries, the apparatus may include: at least one processor; and a memory configured to store instructions executed by the at least one processor to:

    • collect state of charge information of the battery when the battery system is in a standby mode; calculate an amount of power change of the battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; and compare the calculated amount of power change with an expected amount of discharge power of the battery and to determine whether a leakage current occurs in the battery system based on the comparison.


The instructions may further be executed by the processor to collect an open-circuit voltage value (Vocv) measured after a predetermined time elapses once the battery system is switched to the standby mode; determine a state of charge (SOC) value based on the open-circuit voltage value (Vocv); and store the calculated state of charge (SOC) value as an initial state of charge value (SOC_init).


The instructions may further be executed by the processor to determine the state of charge (SOC) of the battery at each predefined time when the battery system is in the standby mode.


The instructions may further be executed by the processor to calculate the amount of power change based on a difference value (Δ SOC) between the pre-stored initial state of charge value (SOC_init) and the determined state of charge value (SOC).


The expected amount of discharge power may correspond to at least one of an amount of self-discharge power of the battery; or an amount of internal supply power provided by the battery to a power requesting device located inside the battery system.


The expected amount of discharge power may be defined as a value obtained by multiplying a predefined weighting coefficient by a sum of the amount of self-discharge power and an amount of power supplied by the battery to a battery management apparatus (BMS).


The instructions may further be executed by the processor to determine that the leakage current has occurred in the battery when the calculated amount of power change exceeds the expected amount of discharge power.


The instructions may further be executed by the processor to collect temperature values of the battery when the battery system is in the standby mode and calculate an amount of temperature change based on the collected temperature values.


The instructions may further be executed by the processor to determine that the leakage current has occurred in the battery when a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a second condition in which the calculated amount of temperature change exceeds a predefined reference temperature change amount are satisfied.


The instructions may further be executed by the processor to determine whether the battery is performing a balancing control operation. Here, the instructions may further be executed by the processor to determine that the leakage current has occurred in the battery when a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a second condition in which the battery does not perform a balancing control operation are satisfied.


The instructions may further be executed by the processor to detect one or more batteries in which leakage current is generated among a plurality of batteries included in the battery system.


According to another embodiment of the present disclosure, a method for diagnosing a battery by a battery diagnosis apparatus located in a battery system including one or more batteries, the method may include collecting state of charge information of the battery when the battery system is in a standby mode; calculating an amount of power change of the battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; and comparing the calculated amount of power change with an expected amount of discharge power of the battery and determining whether a leakage current occurs in the battery system based on the comparison result.


The method may further comprise collecting an open-circuit voltage value (Vocv) measured after a predetermined time elapses once the battery system is switched to the standby mode; determining a state of charge (SOC) value based on the open-circuit voltage (Vocv); and storing the calculated state of charge (SOC) value as an initial state of charge value (SOC_init).


The method may further comprise determining the state of charge (SOC) of the battery at each predefined time when the battery system is in the standby mode.


The method may further comprise calculating the amount of power change of the battery may include calculating the amount of power change based on a difference value (Δ SOC) between the pre-stored initial state of charge value (SOC_init) and the determined state of charge value (SOC).


The expected amount of discharge power may be defined on the basis of at least one of an amount of self-discharge power of the battery; and an amount of internal supply power provided by the battery to a power requesting device located inside the battery system.


The expected amount of discharge power may be defined as a value obtained by multiplying a predefined weighting coefficient by a sum of the amount of self-discharge power and an amount of power supplied by the battery to a battery management apparatus (BMS).


The method may further comprise determining that the leakage current has occurred in the battery when the calculated amount of power change exceeds the expected amount of discharge power.


The method may further comprise collecting temperature values of the battery when the battery system is in a standby mode; and calculating an amount of temperature change based on the collected temperature values.


The method may further comprise determining that the leakage current has occurred in the battery when a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a second condition in which the calculated amount of temperature change exceeds a predefined reference temperature change amount are satisfied.


The method may further comprise determining whether the battery is performing a balancing control operation. Here, whether the leakage current occurs in the battery system may be based on that the leakage current has occurred in the battery when a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a third condition in which the battery does not perform a balancing control operation are satisfied.


Whether the leakage current occurs in the battery system may be determined based on an detecting one or more batteries in which the leakage current is generated among a plurality of batteries included in the battery system.


According to another embodiment of the present disclosure, a battery system may include a plurality of batteries; and a battery management apparatus for monitoring and controlling the plurality of batteries.


The battery management apparatus may be configured to: collect state of charge information of each battery when the battery system is in a standby mode; calculate an amount of power change of each battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; and compare the calculated amount of power change with an expected amount of discharge power for each battery and determining whether a leakage current occurs in the battery system based on the comparison.


Advantageous Effects

According to embodiments of the present disclosure, it is possible to more accurately determine whether leakage current occurs in a battery system and detect a battery in which leakage current occurs, without using a leakage current detection sensor.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 is a block diagram illustrating a battery system according to embodiments of the present invention.



FIG. 2 is an operational flowchart of a method for diagnosing a battery according to the present invention.



FIG. 3 is an operational flowchart of a method for diagnosing a battery according to an embodiment of the present invention.



FIG. 4 is an operational flowchart of a method for diagnosing a battery according to another embodiment of the present invention.



FIG. 5 is a block diagram illustrating an implementation example of a battery system according to embodiments of the present invention.



FIGS. 6 and 7 are block diagrams for explaining operations of the battery system shown in FIG. 5.



FIG. 8 is a block diagram of an apparatus for diagnosing a battery according to embodiments of the present invention.

    • 10: battery
    • 100: battery assembly
    • 200, 700: battery diagnosis apparatus





DETAILED DESCRIPTION

The present invention may be modified in various forms and have various embodiments, and specific embodiments thereof are shown by way of example in the drawings and will be described in detail below. It should be understood, however, that there is no intent to limit the present invention to the specific embodiments, but on the contrary, the present invention is to cover all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention. Like reference numerals refer to like elements throughout the description of the figures.


It will be understood that, although the terms such as first, second, A, B, and the like may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present invention. As used herein, the term “and/or” includes combinations of a plurality of associated listed items or any of the plurality of associated listed items.


It will be understood that when an element is referred to as being “coupled” or “connected” to another element, it can be directly coupled or connected to the other element or an intervening element may be present. In contrast, when an element is referred to as being “directly coupled” or “directly connected” to another element, there is no intervening element present.


The terms used herein is for the purpose of describing specific embodiments only and are not intended to limit the present invention. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises”, “comprising”, “includes”, “including” and/or “having”, when used herein, specify the presence of stated features, integers, steps, operations, constitutional elements, components and/or combinations thereof, but do not preclude the presence or addition of one or more other features, integers, steps, operations, constitutional elements, components, and/or combinations thereof.


Unless otherwise defined, all terms used herein, including technical and scientific terms, have the same meanings as commonly understood by one skilled in the art to which the present invention belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having meanings that are consistent with their meanings in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.


Some terms used herein are defined as follows.


State of Charge (SOC) refers to a current state of charge of a battery, represented in percent points [%], and State of Health (SOH) may be a current condition of a battery compared to its ideal or original conditions, represented in percent points [%].


A battery cell is a minimum unit that serves to store power and a battery module refers to an assembly in which a plurality of battery cells are electrically connected.


A battery pack or battery rack refers to a system of a minimum single structure assembled by electrically connecting module units, module units being set by a battery manufacturer. A battery pack or battery rack can be monitored and controlled by a battery management apparatus/system (BMS). A battery pack or battery rack may include several battery modules and a battery protection unit or any other protection device.


A battery bank refers to a group of large-scale battery rack systems configured by connecting several racks in parallel. A bank BMS for a battery bank may monitor and control several rack BMSs, each of which manages a battery rack.


A battery assembly may include a plurality of electrically connected battery cells, and refers to an assembly that functions as a power supply source by being applied to a specific system or device. Here, the battery assembly may mean a battery module, a battery pack, a battery rack, or a battery bank, but the scope of the present invention is not limited to these entities.



FIG. 1 is a block diagram illustrating a battery system according to embodiments of the present invention.


Referring to FIG. 1, the battery system may include a battery assembly 100 including a plurality of batteries 10 (BAT #1 to BAT #N) and a battery diagnosis apparatus 200.


The plurality of batteries 10 may be electrically connected to form the battery assembly 100.


The battery system according to the present invention may be implemented by being included in an ESS (Energy Storage System), but the scope of the present invention is not limited to this. In other words, the battery system according to the present invention may be applied to various devices and operate to detect an abnormal battery by performing a method for detecting an abnormal battery as described below.


The battery 10 according to the present invention may mean a battery cell, but the scope of the present invention is not limited thereto. In other words, the battery system according to the present invention may perform a method for detecting abnormal battery described below for a battery cell, a battery module, a battery rack, or a battery pack to detect an object in which an abnormality has occurred.


The battery diagnosis apparatus 200 may be implemented by being included in a battery management apparatus/system (BMS) located inside a battery system.


The battery diagnosis apparatus 200 may calculates an amount of battery power change based on state information collected in a standby mode state of a battery system, determine whether leakage current is generated in the battery system based on this, and identify a battery in which leakage current is generated. In embodiments, the battery diagnosis apparatus 200 may determine whether leakage current is generated in the battery system and identify a battery in which leakage current is generated, based on one or more of an amount of battery power change, an amount of battery temperature change, and whether or not a balancing control operation is performed, in a standby mode state of the battery system.


In other words, unlike the prior art using a leakage current detection sensor, the present invention can diagnose whether or not leakage current has occurred by using an apparatus for collecting state information which is necessarily provided in a battery system.


Hereinafter, various embodiments of the present invention will be described in detail with reference to FIGS. 2 to 8.



FIG. 2 is an operational flowchart of a method for diagnosing a battery according to the present invention.


When the battery system is switched to a standby mode (S210), the battery diagnosis apparatus 200 may collect SOC information of the battery while the standby mode is maintained (S220). Here, the state of charge information may include an identifier of a corresponding battery and a state of charge (SOC) value of the corresponding battery.


The battery diagnosis apparatus 200 may collect an open-circuit voltage value (Vocv) measured by a voltage measuring device and determine a state of charge value (SOC) based on the collected open-circuit voltage value (Vocv). Here, the battery diagnosis apparatus 200 may check a state of charge value (SOC) which matches the collected open-circuit voltage value (Vocv) in a graph of Vocv-SOC relation for the corresponding battery and may determine the matched state of charge value (SOC) as a state of charge value (SOC) of the corresponding battery.


The battery diagnosis apparatus 200 may determine a state of charge value (SOC) of the battery at each predefined time. For example, the battery diagnosis apparatus 200 may determine a state of charge value (SOC) of the battery every second.


The battery diagnosis apparatus 200 may calculate an amount of battery power change during a period in which the standby mode is maintained (S230). Here, the battery diagnosis apparatus 200 may calculate the amount of power change based on the collected state of charge information and pre-stored initial state of charge information.


More specifically, the battery diagnosis apparatus 200 may determine an initial state of charge value (SOC_init) based on an initially measured open-circuit voltage value after the battery system is switched to the standby mode and store the initial state of charge value (SOC_init) in a storage device (e.g., non-volatile memory). Thereafter, the battery diagnosis apparatus 200 may calculate an amount of power change at a corresponding time point of measurement based on a difference between the initial state of charge value (SOC_init) stored in the storage device and the state of charge value (SOC_present) determined according to an open-circuit voltage value measured at a later time point.


The battery diagnosis apparatus 200 may compare the calculated amount of power change with a predefined threshold (S240). Here, the threshold value may be defined as an expected amount of discharge power of the corresponding battery.


The battery diagnosis apparatus 200 may determine whether leakage current occurs in the battery system based on a result of comparing the amount of power change with a predefined threshold value (S250). Here, when the amount of power change exceeds the predefined threshold value, the battery diagnosis apparatus 200 may determine that leakage current is generated in the corresponding battery.


In other words, the battery diagnosis apparatus 200 according to embodiments of the present invention may determine that abnormal self-discharge of the corresponding battery, i.e. leakage current, is generated when the amount of power change during the standby mode maintaining period exceeds a set threshold value (e.g., an expected amount of discharge power).



FIG. 3 is an operational flowchart of a method for diagnosing a battery according to an embodiment of the present invention.


When the battery system is switched to a standby mode (S310), the battery diagnosis apparatus 200 may collect an initial open-circuit voltage value (Vocv_init) of the battery (S320). Here, the initial open-circuit voltage value (Vocv_init) may correspond to an open-circuit voltage value measured at a time point when a predefined time (e.g., 30 minutes) has elapsed after switching to the standby mode.


The battery diagnosis apparatus 200 may determine an initial state of charge value (SOC_init) based on the initial open-circuit voltage value (Vocv_init) and store the determined initial state of charge value (SOC_init) in a storage device (e.g., non-volatile memory) (S330). Here, the battery diagnosis apparatus 200 may check a state of charge value (SOC) which matches the initial open-circuit voltage value (Vocv_init) in a graph of Vocv-SOC relation for the corresponding battery and may determine the matched state of charge value (SOC) as the initial state of charge value (SOC_init) of the corresponding battery.


Thereafter, the battery diagnosis apparatus 200 may collect an open-circuit voltage value (Vocv) measured by the voltage measuring device and determine a state of charge value (SOC_present) at the present time (time point of collecting the open-circuit voltage value) based on the collected open-circuit voltage value (Vocv) (S340).


The battery diagnosis apparatus 200 may calculate a difference value (ΔSOC) between the initial state of charge value (SOC_init) stored in the storage device and the state of charge value (SOC_present) at the present time (S350) and calculate the amount of power change (ΔP) at that time point based on the calculated difference value (ΔSOC) (S360).


Thereafter, the battery diagnosis apparatus 200 may compare the calculated amount of power change (ΔP) with a predefined threshold value (S370). Here, the threshold value may be defined as an expected amount of discharge power of the corresponding battery.


In embodiments, the expected amount of discharge power may be defined based on at least one of a self-discharge power amount (P_sd) of the battery and an internal supply power amount (P_in) provided by the battery to a power requesting device located inside the battery system. Here, the self-discharge power amount (P_sd) may mean an expected amount of self-discharge power calculated based on a pre-stored self-discharge rate of the battery. In addition, the power requesting device may refer to a device operating by receiving power from a battery in a standby mode state of the battery system.


In an embodiment, the expected amount of discharge power may be defined as a sum (P_sd+P_in) of the amount of self-discharge power of the battery and the internal supply power amount. For example, the expected amount of discharge power may be defined as a sum (P_sd+P_bms) of the amount of self-discharge power of the battery and an amount of power supplied from the battery to a battery management system (BMS) in a standby mode.


In another embodiment, the expected amount of discharge power may be defined as a value (w*(P_sd+P_in)) obtained by multiplying a predefined weighting factor (w) by the sum of self-discharge power amount of the battery and the internal supply power amount. Here, the weighting factor w is a value defined to prevent misdiagnosis due to an error in an open-circuit voltage value and an SOC value, and may be defined as, for example, a specific value greater than 1.0 and less than or equal to 1.3.


When the amount of power change ΔP is less than or equal to the threshold value (e.g., expected amount of discharge power) (NO in S370), the battery diagnosis apparatus 200 may return to step S340 and perform the subsequent processes again.


If the amount of power change (ΔP) exceeds the threshold value (expected amount of discharge power) (YES in S370), the battery diagnosis apparatus 200 may determine that leakage current has occurred in the corresponding battery (S380).


In embodiments, when the battery system includes a plurality of batteries, the battery diagnosis apparatus 200 may detect a battery having leakage current among the plurality of batteries.


Specifically, the battery diagnosis apparatus 200 may calculate an amount of power change ΔP for each of the batteries BAT #1 to BAT #N, detect a battery of which the amount of power change ΔP exceeds a threshold value (e.g., expected amount of discharge power), and determine that leakage current is generated in the corresponding battery.


Here, when it is determined that leakage current is generated in all batteries included in the battery system, the battery diagnosis apparatus 200 may determine that leakage current is generated in the entire battery system. For example, when it is determined that leakage current is generated in all battery packs included in the battery rack, the battery diagnosis apparatus 200 may determine that leakage current is generated in the entire battery rack.



FIG. 4 is an operational flowchart of a method for diagnosing a battery according to another embodiment of the present invention. Specifically, FIG. 4 illustrates a battery diagnosing method in which the battery diagnosis apparatus determines whether leakage current is generated by further considering at least one of an amount of temperature change and whether a balancing control operation is performed, in addition to an amount of power change.


In this embodiment, the battery diagnosis apparatus 200 may determine that leakage current is generated in a corresponding battery when a first condition in which the amount of power change in a standby mode exceeds an expected amount of discharge power is satisfied and one or more of a second condition and a third condition is further satisfied, wherein the second condition is a condition in which the amount of temperature change in the standby mode exceeds a predefined reference temperature change amount and the third condition is a condition in which the battery is in a state not performing a balancing control operation.


Referring to FIG. 4, when the battery system is switched to a standby mode (S410), the battery diagnosis apparatus 200 may collect state information of the battery while the standby mode is maintained (S420). Here, the state information may include one or more of an identifier, a state of charge value (SOC), and a temperature value (T) of the corresponding battery.


The battery diagnosis apparatus 200 may collect state information of the battery at each predefined time. For example, the battery diagnosis apparatus 200 may collect a state of charge value (SOC) and a temperature value (T) of the battery every second.


The battery diagnosis apparatus 200 may calculate an amount power change (ΔP) and an amount of temperature change (ΔT) of the battery during a period in which the standby mode is maintained and determine whether a battery balancing control operation is being performed (S430).


More specifically, the battery diagnosis apparatus 200 may determine an initial state of charge value (SOC_init) based on an initially measured open-circuit voltage value after the battery system is switched to the standby mode and calculate an amount of power change (ΔP) at a corresponding time point of measurement based on a difference between the initial state of charge value (SOC_init) and a state of charge value (SOC_present) of a later time point. In addition, the battery diagnosis apparatus 200 may store an initially measured temperature value (T_init) after the battery system is switched to the standby mode in a storage device and calculate an amount of temperature change (ΔT) at a corresponding measurement time point based on a difference between the stored initial temperature value (T_init) and the temperature value measured at a later time point (T_present). In addition, the battery diagnosis apparatus 200 may determine whether an battery balancing control operation is performed in conjunction with a balancing circuit that performs a balancing control operation to resolve an imbalance state of batteries or a battery management device that controls the balancing circuit.


The battery diagnosis apparatus 200 may determine if one or more of a first condition, a second condition, and a third condition are satisfied, wherein the first condition is a condition in which the calculated amount of power change (ΔP) exceeds an expected amount of discharge power, the second condition is a condition in which the calculated amount of temperature change (ΔT) exceeds a predefined reference temperature change, and the third condition is a state in which the battery does not perform a balancing control operation (S440). Here, the reference temperature change amount of the second condition may be defined as an average value of temperature change amounts of batteries other than the battery to be diagnosed, or may be defined as a value obtained by multiplying the average value by a predefined weighting coefficient.


The battery diagnosis apparatus 200 may determine whether leakage current occurs in the battery system based on whether one or more of the first condition, the second condition, and the third condition are satisfied (S450).


In an embodiment, the battery diagnosis apparatus 200 may determine that leakage current is generated in the battery when the battery to be diagnosed satisfies the first condition and the second condition. In other words, when the amount of power change in a standby mode exceeds the expected amount of discharge power and the amount of temperature change exceeds the reference value, it may be determined that leakage current is generated in the corresponding battery.


In another embodiment, the battery diagnosis apparatus 200 may determine that leakage current is generated in the battery when the battery to be diagnosed satisfies the first condition and the third condition. In other words, when the amount of power change in a standby mode exceeds the expected amount of discharge power and the battery is in a state where the balancing control operation is not performed, it may be determined that leakage current is generated in the corresponding battery. If the battery is performing a balancing control operation, a charge/discharge amount for balancing is reflected when calculating an amount of power change, and accordingly, it is difficult to accurately diagnose only with whether the first condition is satisfied. In order to prevent erroneous diagnosis due to the balancing operation, the battery diagnosis apparatus 200 may further consider the third condition in addition to the first condition to determine whether leakage current occurs.


In another embodiment, the battery diagnosis apparatus 200 may determine that leakage current is generated in the battery when the battery to be diagnosed satisfies all of the first condition, the second condition, and the third condition.



FIG. 5 is a block diagram illustrating an implementation example of a battery system according to embodiments of the present invention, and FIGS. 6 and 7 are block diagrams for explaining operations of the battery system shown in FIG. 5.


Referring to FIG. 5, a battery system according to embodiments of the present invention may be implemented by being included in a battery pack 100′.


The battery pack 100′ may include a plurality of battery modules (Module #1 to Module #N), and each of the battery modules may include a plurality of battery cells 10′ (CELL #1 to CELL #N).


The battery diagnosis apparatus according to the present invention may correspond to the battery management system (PBMS) 200′ of the battery pack 100′ or be included in the battery management system (PBMS) 200′.


When the battery pack is switched to a standby mode, the battery management system (PBMS) may collect initial open-circuit voltage values (Vocv_init) of respective battery cells, determine initial state-of-charge values (SOC_init) of the respective battery cells, and store them in a storage device (For example, non-volatile memory). Furthermore, the battery management system (PBMS) may collect and store initial temperature values (T_init) of respective battery cells in a storage device.


Thereafter, while the standby mode of the battery pack is maintained, the battery management system (PBMS) may calculate an amount of power change (ΔP) for each of the battery cells per unit time based on an amount of SOC value change (ΔSOC=SOC_init−SOC_present). In addition, the battery management system (PBMS) may calculate an amount of temperature value change (ΔT=T_init−T_present) per unit time while the standby mode of the battery pack is maintained.


The battery management system (PBMS) may determine whether leakage current is generated by determining whether one or more of the first to third conditions are satisfied for each of the battery cells.


For example, referring to FIG. 6, the battery management system (PBMS) detects, among a plurality of battery cells, a battery cell of which amount of power change ΔP exceeds an expected amount of discharge power (satisfying the first condition) and determines that leakage current is generated in the corresponding battery (Cell #2 of Module #1). As another example, the battery management system (PBMS) detects, among a plurality of battery cells, a battery cell of which an amount of power change (ΔP) exceeds the expected amount of discharging power (satisfying the first condition) and an amount of temperature change (ΔT) exceeds the reference temperature change amount (satisfying the second condition) and determines that leakage current is generated in the corresponding battery (Cell #2 of Module #1). For another example, the battery management system (PBMS) determines that leakage current is generated in the corresponding battery (Cell #2 of Module #1), when, among a plurality of battery cells, a cell of which the amount of power change (ΔP) exceeds the expected amount of discharging power (satisfying the first condition), the amount of temperature change (ΔT) exceeds the reference temperature change amount (satisfying the second condition), and in which cell balancing operation is not performed (satisfying the third condition) is detected.


Referring to FIG. 7, when it is determined that leakage current is generated in all battery cells included in the battery pack, the battery management system (PBMS) may determine that leakage current is generated in the entire battery pack.


The battery management system (PBMS) may transmit leakage current diagnosis information to an upper battery management device. For example, the battery management system (PBMS) may transmit leakage current diagnosis result to at least one of a rack battery management system (RBMS), a battery section controller (BSC), an energy management system (EMS), and a power management system (PMS). Here, the leakage current diagnosis information may include one or more of whether leakage current occurs, a number of leakage current generating batteries, and identifiers of leakage current generating batteries.


Meanwhile, the battery system according to embodiments of the present invention, unlike shown in FIGS. 5 to 7, may be implemented by being included in a battery module, a battery rack, or a battery bank, and a method for diagnosing leakage current according to the present invention may be performed in the same way even for these cases.



FIG. 8 is a block diagram of an apparatus for diagnosing a battery according to embodiments of the present invention.


The battery diagnosis apparatus 800 according to embodiments of the present invention may include at least one processor 810, a memory 820 configured to store at least one instruction executed by the processor, and a transceiver 830 connected with a network to perform communication.


The at least one instruction may include: an instruction to collect state of charge information of the battery in a standby mode state of the battery system; an instruction to calculate an amount of power change of the battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; and an instruction to compare the calculated amount of power change with an expected amount of discharge power of the battery and to determine whether leakage current occurs in the battery system based on the comparison result.


The instruction to collect state of charge information of the battery may include: an instruction to collect an open-circuit voltage value (Vocv) measured after a predetermined time elapses once the battery system is switched to a standby mode; an instruction to determine a state of charge (SOC) value based on the open-circuit voltage (Vocv); and an instruction to store the calculated state of charge (SOC) value as an initial state of charge value (SOC_init).


The instruction to collect state of charge information of the battery may include an instruction to determine the state of charge (SOC) of the battery at each predefined time in the standby mode state of the battery system.


The instruction to calculate the amount of power change of the battery may include an instruction to calculate the amount of power change based on a difference value (Δ SOC) between the pre-stored initial state of charge value (SOC_init) and the determined state of charge value (SOC).


The expected amount of discharge power may be defined on the basis of at least one of an amount of self-discharge power of the battery; and an amount of internal supply power provided by the battery to a power requesting device located inside the battery system.


The expected amount of discharge power may be defined as a value obtained by multiplying a predefined weighting coefficient by a sum of the amount of self-discharge power and an amount of power supplied by the battery to a battery management system (BMS).


The instruction to determine whether leakage current occurs in the battery system may include an instruction to determine that leakage current has occurred in the battery in the instance that the calculated amount of power change exceeds the expected amount of discharge power.


The at least one instruction may further include: an instruction to collect temperature values of the battery in a standby mode state of the battery system; and an instruction to calculate an amount of temperature change based on the collected temperature values.


The instruction to determine whether leakage current occurs in the battery system may include an instruction to determine that leakage current has occurred in the battery in the instance that a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a second condition in which the calculated amount of temperature change exceeds a predefined reference temperature change amount are satisfied.


The at least one instruction further includes an instruction to determine whether the battery is performing a balancing control operation. Here, the instruction to determine whether leakage current occurs in the battery system may include an instruction to determine that leakage current has occurred in the battery in the instance that a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a third condition in which the battery does not perform a balancing control operation are satisfied.


The instruction to determine whether leakage current occurs in the battery system may include an instruction to detect one or more batteries in which leakage current is generated among a plurality of batteries included in the battery system.


The instruction to determine whether leakage current occurs in the battery system may include an instruction to determine that leakage current is generated in the entire battery system when it is determined that leakage current is generated in all battery cells included in the battery system.


The battery diagnosis apparatus 800 may further include an input interface 840, an output interface 850, a storage device 860, and the like. Respective components included in the battery diagnosis apparatus 800 are connected by a bus 770 to communicate with each other.


Here, the processor 810 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor for performing methods according to embodiments of the present invention. The memory (or storage device) may include at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory may include at least one of read only memory (ROM) and random access memory (RAM).


The operations of the method according to the embodiments of the present invention may be implemented as a computer-readable program or code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices in which data readable by a computer system is stored. In addition, the computer-readable recording medium may be distributed in a network-connected computer system to store and execute computer-readable programs or codes in a distributed manner.


Although some aspects of the invention have been described in the context of the apparatus, it may also represent a description according to a corresponding method, wherein a block or apparatus corresponds to a method step or feature of a method step. Similarly, aspects described in the context of a method may also represent a feature of a corresponding block or item or a corresponding apparatus. Some or all of the method steps may be performed by (or using) a hardware device, 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.


In the forgoing, the present invention has been described with reference to the exemplary embodiment of the present invention, but those skilled in the art may appreciate that the present invention may be variously corrected and changed within the range without departing from the spirit and the area of the present invention described in the appending claims.

Claims
  • 1. An apparatus for diagnosing a battery located in a battery system including one or more batteries, the apparatus comprising: at least one processor; anda memory configured to store instructions executed by the at least one processor tocollect state of charge information of the battery when the battery system is in a standby mode;calculate an amount of power change of the battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; andcompare the calculated amount of power change with an expected amount of discharge power of the battery and to determine whether a leakage current occurs in the battery system based on the comparison.
  • 2. The apparatus of claim 1, wherein the instructions are further executed by the processor to: collect an open-circuit voltage value (Vocv) measured after a predetermined time elapses once the battery system is switched to the standby mode;determine a state of charge (SOC) value based on the open-circuit voltage value (Vocv); andstore the calculated state of charge (SOC) value as an initial state of charge value (SOC_init).
  • 3. The apparatus of claim 1, wherein the instructions are further executed by the processor to determine the state of charge (SOC) value of the battery at each predefined time when the battery system is in the standby mode.
  • 4. The apparatus of claim 3, wherein the instructions are further executed by the processor to calculate the amount of power change based on a difference value (Δ SOC) between the pre-stored initial state of charge value (SOC_init) and the determined state of charge value (SOC).
  • 5. The apparatus of claim 1, wherein the expected amount of discharge power corresponds to at least one of an amount of self-discharge power of the battery; or an amount of internal supply power provided by the battery to a power requesting device located inside the battery system.
  • 6. The apparatus of claim 5, wherein the expected amount of discharge power is defined as a value obtained by multiplying a predefined weighting coefficient by a sum of the amount of self-discharge power and an amount of power supplied from the battery to a battery management apparatus (BMS).
  • 7. The apparatus of claim 1, wherein the instructions are further executed by the processor to determine that the leakage current has occurred in the battery when the calculated amount of power change exceeds the expected amount of discharge power.
  • 8. The apparatus of claim 1, wherein the instructions are further executed by the processor to: collect temperature values of the battery when the battery system is in the standby mode; andcalculate an amount of temperature change based on the collected temperature values.
  • 9. The apparatus of claim 8, wherein the instructions are further executed by the processor to determine that the leakage current has occurred in the battery when a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a second condition in which the calculated amount of temperature change exceeds a predefined reference temperature change amount are satisfied.
  • 10. The apparatus of claim 1, wherein the at least one instructions are further executed by the processor to determine whether the battery is performing a balancing control operation, and wherein the instructions are further executed by the processor to determine that the leakage current has occurred in the battery when a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a second condition in which the battery does not perform a balancing control operation are satisfied.
  • 11. (canceled)
  • 12. A method for diagnosing a battery by a battery diagnosis apparatus located in a battery system including one or more batteries, the method comprising: collecting state of charge information of the battery when the battery system is in a standby mode;calculating an amount of power change of the battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; andcomparing the calculated amount of power change with an expected amount of discharge power of the battery and determining whether a leakage current occurs in the battery system based on the comparison.
  • 13. (canceled)
  • 14. The method of claim 12, further comprising determining the state of charge (SOC) value of the battery at each predefined time when the battery system is in the standby mode.
  • 15. The method of claim 14, further comprising calculating the amount of power change based on a difference value (Δ SOC) between the pre-stored initial state of charge value (SOC_init) and the determined state of charge value (SOC).
  • 16. The method of claim 12, wherein the expected amount of discharge power is defined on the basis of at least one of an amount of self-discharge power of the battery; and an amount of internal supply power provided by the battery to a power requesting device located inside the battery system.
  • 17. The method of claim 12, wherein the expected amount of discharge power is defined as a value obtained by multiplying a predefined weighting coefficient by a sum of the amount of self-discharge power and an amount of power supplied from the battery to a battery management apparatus (BMS).
  • 18. The method of claim 12, further comprising determining that the leakage current has occurred in the battery when the calculated amount of power change exceeds the expected amount of discharge power.
  • 19. The method of claim 12, further comprising: collecting temperature values of the battery when the battery system is in a standby mode; andcalculating an amount of temperature change based on the collected temperature values.
  • 20. The method of claim 19, further comprising determining that the leakage current has occurred in the battery when a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a second condition in which the calculated amount of temperature change exceeds a predefined reference temperature change amount are satisfied.
  • 21. The method of claim 12, further comprising determining whether the battery is performing a balancing control operation, wherein whether the leakage current occurs in the battery system is determined based on that the leakage current has occurred in the battery when a first condition in which the calculated amount of power change exceeds the expected amount of discharge power and a third condition in which the battery does not perform a balancing control operation are satisfied.
  • 22. (canceled)
  • 23. A battery system comprising: a plurality of batteries; anda battery management apparatus for monitoring and controlling the plurality of batteries,wherein the battery management apparatus is configured to:collect state of charge information of each battery when the battery system is in a standby mode;calculate an amount of power change of each battery during a maintaining period of the standby mode based on the collected state of charge information and pre-stored initial state of charge information; andcompare the calculated amount of power change with an expected amount of discharge power for each battery and determining whether a leakage current occurs in the battery system based on the comparison.
Priority Claims (2)
Number Date Country Kind
10-2022-0130145 Oct 2022 KR national
10-2023-0068061 May 2023 KR national
CROSS-REFERENCE TO RELATED APPLICATION

The present application is a national phase entry under 35 U.S.C. § 371 of International Application No. PCT/KR2023/008433 filed Jun. 19, 2023, which claims priority from Korean Patent Application No.10-2022-0130145 filed in the Korean Intellectual Property Office on Oct. 12, 2022 and Korean Patent Application No.10-2023-0068061 filed in the Korean Intellectual Property Office on May 26, 2023, the entire contents of which are incorporated herein by reference.

PCT Information
Filing Document Filing Date Country Kind
PCT/KR2023/008433 6/19/2023 WO