CN109884533B - Method and device for diagnosing battery fault, equipment and storage medium - Google Patents
Method and device for diagnosing battery fault, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a storage medium for diagnosing battery faults. The method comprises the following steps: acquiring battery state monitoring data of a battery to be detected from a database, wherein the database is used for storing the battery state monitoring data of the battery; selecting a target fault matching rule from the fault matching rule set according to the natural environment parameters and/or the working environment parameters; and judging whether the battery to be detected has a fault or not according to the target fault matching rule and the battery state monitoring data. The technical scheme of the embodiment of the invention overcomes the technical defect that the actual condition of the standby battery is difficult to accurately judge by using a universal fault detection rule in the prior art, and realizes more accurate, effective and complete fault monitoring on the standby battery.
Description
Technical Field
The embodiment of the invention relates to a battery monitoring technology, in particular to a method, a device, equipment and a storage medium for diagnosing battery faults.
Background
The power-off standby lithium battery is one of standby power supplies of a large-scale data service center, can be automatically started immediately when power is off, and supports a server to run for a long time to strive for time for recovering normal power supply of the data service center. The application scene of the power-off standby lithium battery ensures that the running state of the power-off standby lithium battery needs real-time monitoring and fault alarm so as to ensure that the standby lithium battery can be normally and immediately started to play the effect when the power-off fault occurs.
In the prior art, the working state data and the self state data of a single lithium battery are generally obtained through a script program, and then a universal fault detection rule is used for judging whether the lithium battery has a fault.
In the process of implementing the invention, the inventor finds that the prior art has the following defects: when the backup battery fails, the working state data and the self state data of the backup battery may have large differences, so that the actual condition of the backup battery is difficult to be accurately judged by using a general fault detection rule.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for diagnosing battery faults, and realizes more accurate, effective and complete fault monitoring on a standby battery.
In a first aspect, an embodiment of the present invention provides a method for diagnosing a battery fault, including:
acquiring battery state monitoring data of a battery to be detected from a database, wherein the database is used for storing the battery state monitoring data of the battery;
selecting a target fault matching rule from the fault matching rule set according to the natural environment parameters and/or the working environment parameters;
and judging whether the battery to be detected has a fault or not according to the target fault matching rule and the battery state monitoring data.
In a second aspect, an embodiment of the present invention provides a device for diagnosing a battery fault, including:
the monitoring data acquisition module is used for acquiring battery state monitoring data of the battery to be detected from a database, wherein the database is used for storing the battery state monitoring data of the battery;
the fault matching rule selection module is used for selecting a target fault matching rule from the fault matching rule set according to the natural environment parameters and/or the working environment parameters;
and the fault judgment module is used for judging whether the battery to be detected has a fault or not according to the target fault matching rule and the battery state monitoring data.
In a third aspect, an embodiment of the present invention provides an apparatus, where the apparatus includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the method for diagnosing a battery failure according to any embodiment of the present invention.
In a fourth aspect, embodiments of the present invention provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are used to perform a method for diagnosing a battery fault according to any embodiment of the present invention.
The embodiment of the invention provides a method, a device, equipment and a storage medium for diagnosing battery faults, wherein a target fault matching rule is selected from a fault matching rule set according to natural environment parameters and/or working environment parameters, and whether a battery to be detected has a fault is judged according to the target fault matching rule and battery state monitoring data.
Drawings
Fig. 1 is a flowchart of a method for diagnosing a battery fault according to an embodiment of the present invention;
fig. 2 is a flowchart of a battery fault diagnosis method according to a second embodiment of the present invention;
fig. 3 is a structural diagram of a battery failure diagnosis apparatus according to a third embodiment of the present invention;
fig. 4 is a structural diagram of an apparatus provided in the fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for diagnosing a battery fault according to an embodiment of the present invention, where the present embodiment is applicable to a situation where a backup battery (for example, a backup lithium battery in a large data service center) is monitored, the method may be executed by a device for diagnosing a battery fault, the device may be implemented by software and/or hardware, and the device may be integrated in a device such as a server. As shown in fig. 1, the method specifically includes the following steps:
s110, battery state monitoring data of the battery to be detected are obtained from a database, wherein the database is used for storing the battery state monitoring data of the battery.
In this embodiment, the battery to be detected may specifically be a backup battery of the device, for example, a backup lithium battery of a large data service center. The battery state monitoring data specifically refers to parameters for representing the working state and the self state of the battery. The parameters for characterizing the operating state of the battery may specifically include an output voltage, an output current, an output power, and the like. The parameters for characterizing the self-state of the battery may specifically include remaining discharge time, battery health, relative battery capacity, absolute battery capacity, maximum battery temperature, discharge current, minimum battery cell voltage, pack current, and suction temperature, among others.
Further, it will be appreciated that manufacturers of battery backup typically provide a programmable interface to obtain the operating state parameters and the self state parameters of the battery. Therefore, in this embodiment, the battery state monitoring data of the battery to be detected may also be obtained from the programmable interface of the battery to be detected by using the upper computer monitoring script program.
In this embodiment, the battery state monitoring data of the batteries is not directly discarded after being acquired and detected, but the battery state monitoring data of all the batteries is stored. For example, the battery state monitoring data of all the batteries may be uniformly written into one database (for example, a redis log database, etc.), or the battery state monitoring data of all the batteries may be written into a plurality of different databases, which is not limited in this embodiment. Furthermore, the corresponding relation between the battery and the battery state monitoring data can be indicated by adding the battery identification and the timestamp information into the battery state monitoring data, and meanwhile, when the battery breaks down, the failure tracing can be realized according to the timestamp.
And S120, selecting a target fault matching rule from the fault matching rule set according to the natural environment parameters or the working environment parameters.
It can be understood that the natural environment of the battery has a great influence on the self-state parameters and the operating state parameters of the battery. For example, the temperature may affect the capacity of the battery, the internal resistance of the battery, the charging and discharging efficiency of the battery, and the humidity may increase the discharge amount of the battery to the air. Therefore, under different temperature and humidity conditions, the normal working state parameters and the normal self state parameters of the battery are not completely the same, and even have larger difference. Illustratively, in an environment of minus 25 degrees celsius, the normal capacity of the battery is 5.75Ah, and in an environment of 35 degrees celsius, the normal capacity of the battery is 10.85Ah, then, when the current temperature is 35 degrees celsius and the battery capacity is 6Ah, it can be confirmed that a problem has occurred in the battery itself; when the current temperature is 23 ℃ below zero and the battery capacity is 6Ah, the normal state of the battery can be confirmed.
Therefore, in the present embodiment, the fault matching rules in the fault matching rule set correspond to the natural environment parameters, that is, different natural environment parameters correspond to different fault matching rules. The natural environment parameters may be temperature, humidity, and the like. Exemplarily, a temperature range of-25 ℃ to 0 ℃ and a humidity range of 20% to 60% correspond to the first fault matching rule; the temperature range is 0 ℃ to 40 ℃, and the humidity range is 20% to 60% and corresponds to the second fault matching rule; the temperature range is 40 ℃ to 60 ℃, and the humidity range is 20% to 60% and corresponds to the third fault matching rule; the temperature range is-25 ℃ to 0 ℃, and the humidity range is 0% to 20% corresponding to the fourth fault matching rule; the temperature range of-25 ℃ to 0 ℃ and the humidity range of 60% to 90% correspond to the fifth fault matching rule.
Further, since the temperature and humidity characteristics of batteries of different materials are different, different fault matching rules can be set for batteries of different materials.
In addition, since the natural environment of the battery may be a natural environment with small temperature and humidity changes, and the small temperature and humidity changes do not affect the normal value range of the state parameters of the battery and the normal value range of the working state parameters, the corresponding relationship between the fault matching rules and the natural environment parameters may not be considered, that is, all the fault matching rules are adapted to the current natural environment.
Further, since the supply amounts of voltage and current required for the battery-using device are different, the fault matching rule may also correspond to the operating environment parameter in the present embodiment. It should be noted that, in this embodiment, it is only an exemplary indication that the fault matching rule corresponds to only the natural environment parameter or only the working environment parameter, and in practical applications, the fault matching rule may correspond to both the natural environment parameter and the working environment parameter.
In this embodiment, the operating environment parameters may specifically include a reference operating voltage, a reference operating current, and the like. Exemplarily, the reference operating voltage range 20v to 80v and the reference operating current range 0.3A to 0.5A correspond to the first fault matching rule; the reference working voltage range is 80v to 150v, the reference working current range is 0.5A to 1A, and the reference working voltage range corresponds to a second fault matching rule; the reference working voltage range is 150v to 200v, the reference working current range is 1.0A to 1.5A, and the reference working voltage range corresponds to a third fault matching rule; the reference operating voltage range 250v to 300v and the reference operating current range 2A to 3.5A correspond to the fourth fault matching rule.
Further, since the fault matching rule corresponds to the natural environment parameter or the working environment parameter, in this embodiment, after the current value of the natural environment parameter or the current value of the working environment parameter is obtained, the fault matching rule whose corresponding value range of the natural environment parameter includes the current value of the natural environment parameter or whose corresponding value range of the working environment parameter includes the current value of the working environment parameter is selected from the fault matching rule set as the target fault matching rule.
Further, in this embodiment, all the fault matching rules in the fault matching rule set may include arithmetic types such as mathematical operation, logical operation, or sequential operation.
And S130, judging whether the battery to be detected has a fault or not according to the target fault matching rule and the battery state monitoring data.
In this embodiment, after the target fault matching rule is determined, the target fault matching rule is used to calculate the battery state monitoring data, and whether the battery to be detected has a fault is determined according to the calculation result.
The embodiment of the invention provides a battery fault diagnosis method, which selects a target fault matching rule from a fault matching rule set according to natural environment parameters and/or working environment parameters, and judges whether a battery to be detected has a fault according to the target fault matching rule and battery state monitoring data.
Example two
Fig. 2 is a flowchart of a battery fault diagnosis method according to a second embodiment of the present invention. In this embodiment, a specific implementation manner is added to the step of screening the fault matching rule according to the time matching principle. The same or corresponding terms as those of the above-described embodiments are explained, and the description of the present embodiment is omitted.
Correspondingly, the method of the embodiment specifically includes:
s210, battery state monitoring data of the battery to be detected are obtained from a database, wherein the database is used for storing the battery state monitoring data of the battery.
And S220, acquiring the current values of the natural environment parameters and the current values of the working environment parameters.
In this embodiment, the fault matching rules in the fault matching rule set correspond to the natural environment parameters and the working environment parameters at the same time, and therefore, in this step 220, the current values of the natural environment parameters and the current values of the working environment parameters need to be obtained at the same time.
And S230, selecting the fault matching rule with the time period including the current time from the fault matching rule set as a first fault matching rule set to be screened.
In this embodiment, the fault matching rules corresponding to different time periods are not completely the same, and therefore, the time period to which the current time belongs needs to be used to screen the fault matching rules, that is, all fault matching rules in the fault matching rule set that correspond to the time period including the current time are screened, so as to obtain a first fault matching rule set to be screened.
S240, selecting a fault matching rule of which the battery identification set comprises the battery identification of the battery to be screened from the first fault matching rule set to be used as a second fault matching rule set to be screened.
It can be understood that the batteries of different materials have different characteristics, and therefore, in this embodiment, the fault matching rules corresponding to the batteries of different materials are not completely the same, and may be completely different or partially different, which is not limited in this embodiment.
Since the corresponding fault matching rules of the batteries of different materials are not completely the same, in this embodiment, after the fault matching rules are screened according to time in step 230 to obtain the first to-be-screened fault matching rule set, the first to-be-screened fault matching rule set is further screened according to the battery identifier, and the corresponding battery identifier set includes the second to-be-screened fault matching rule set of the battery identifier of the battery to be detected.
And S250, selecting the fault matching rule of which the numerical range of the natural environment parameters comprises the current numerical value of the natural environment parameters and the numerical range of the working environment parameters also comprises the current numerical value of the working environment parameters from the second fault matching rule set to be screened as the target fault matching rule.
In this embodiment, after the second fault matching rule set to be screened is obtained through screening, the fault matching rule whose corresponding value range of the natural environment parameter includes the current value of the natural environment parameter and whose corresponding value range of the working environment parameter includes the current value of the working environment parameter is searched from the second fault matching rule set to be screened, and the searched fault matching rule is used as the target fault matching rule.
And S260, judging whether the battery to be detected has a fault or not according to the target fault matching rule and the battery state monitoring data, if so, executing a step 270, otherwise, executing a return to the step 210.
And S270, performing fault alarm, storing the battery state monitoring data of the battery to be detected as battery fault data to a set storage area, and configuring a unique identifier of the battery fault data.
In this embodiment, if it is confirmed that the battery to be detected is out of order, a failure alarm is performed. Specifically, related personnel can be informed that the battery to be detected has a fault through voice alarm, character information alarm and other modes.
Further, in this embodiment, after it is determined that the battery to be detected has a fault, the battery state monitoring data of the battery to be detected is also stored in the set storage area as battery fault data, and a unique identifier of the battery fault data is configured. The battery fault unique identifier may be specifically used to identify a battery corresponding to the battery fault data, and information such as a fault category of the battery fault data.
The embodiment of the invention provides a battery fault diagnosis method, which embodies the determination method of a target fault matching rule, and simultaneously screens the fault matching rule according to natural environment parameters and working environment parameters, so that the accuracy of battery fault diagnosis is improved, the step of screening the fault matching rule according to time and a battery matching principle is added, the effectiveness of the fault matching rule is further improved, and the accuracy of battery fault diagnosis is further improved.
EXAMPLE III
Fig. 3 is a structural diagram of a battery failure diagnosis apparatus according to an embodiment of the present invention. As shown in fig. 3, the apparatus includes: a monitoring data obtaining module 301, a fault matching rule selecting module 302 and a fault judging module 303, wherein:
the monitoring data acquisition module 301 is configured to acquire battery state monitoring data of a battery to be detected from a database, where the database is used to store the battery state monitoring data of the battery;
a fault matching rule selecting module 302, configured to select a target fault matching rule from a fault matching rule set according to a natural environment parameter and/or a working environment parameter;
and the fault judging module 303 is configured to judge whether the battery to be detected has a fault according to the target fault matching rule and the battery state monitoring data.
The embodiment of the invention provides a battery fault diagnosis device, which firstly obtains battery state monitoring data of a battery to be detected from a database through a monitoring data obtaining module 301, wherein the database is used for storing the battery state monitoring data of the battery, then selects a target fault matching rule from a fault matching rule set through a fault matching rule selecting module 302 according to natural environment parameters and/or working environment parameters, and finally judges whether the battery to be detected has a fault or not through a fault judging module 303 according to the target fault matching rule and the battery state monitoring data.
The device solves the technical defect that the actual condition of the standby battery is difficult to accurately judge by using a universal fault detection rule in the prior art, and realizes more accurate, effective and perfect fault monitoring on the standby battery.
On the basis of the above embodiments, the natural environment parameter may include at least one of the following parameters: temperature and humidity;
the operating environment parameters may include at least one of: a reference operating voltage and a reference operating current.
On the basis of the foregoing embodiments, the fault matching rule selecting module 302 may include:
the parameter value acquisition unit is used for acquiring the current value of the natural environment parameter and/or the current value of the working environment parameter;
the parameter matching unit is used for selecting a fault matching rule of which the value range of the natural environment parameters comprises the current value of the natural environment parameters from the fault matching rule set as a target fault matching rule; alternatively, the first and second liquid crystal display panels may be,
the fault matching rule set is used for selecting a fault matching rule of which the working environment parameter value range comprises the current value of the working environment parameter from the fault matching rule set as a target fault matching rule; alternatively, the first and second electrodes may be,
and the fault matching rule is used for selecting the fault matching rule in which the numerical range of the natural environment parameters comprises the current numerical values of the natural environment parameters and the numerical range of the working environment parameters also comprises the current numerical values of the working environment parameters from the fault matching rule set as a target fault matching rule.
On the basis of the above embodiments, the method may further include:
the time matching module is used for selecting the fault matching rule with the time period including the current time from the fault matching rule set as a first fault matching rule set to be screened before selecting a target fault matching rule from the fault matching rule set according to the natural environment parameters and/or the working environment parameters;
correspondingly, the fault matching rule selecting module 302 may be specifically configured to:
and selecting a target fault matching rule from the first fault matching rule set to be screened according to the natural environment parameters and/or the working environment parameters.
On the basis of the above embodiments, the method may further include:
the identification matching module is used for selecting a fault matching rule of the battery identification set including the battery identification of the battery to be screened from the fault matching rule set as a second fault matching rule set to be screened before selecting a target fault matching rule from the fault matching rule set according to natural environment parameters and/or working environment parameters;
correspondingly, the fault matching rule selecting module 302 may be specifically configured to:
and selecting a target fault matching rule from the second fault matching rule set to be screened according to the natural environment parameters and/or the working environment parameters.
On the basis of the foregoing embodiments, each fault matching rule in the fault matching rule set may at least include one of the following operations:
mathematical operations, logical operations, and sequential operations.
On the basis of the above embodiments, the method may further include:
and the data storage module is used for judging whether the battery to be detected has a fault according to the target fault matching rule and the battery state monitoring data, performing fault alarm if the battery to be detected has the fault, storing the battery state monitoring data of the battery to be detected as battery fault data to a set storage area, and configuring a unique battery fault data identifier.
The battery fault diagnosis device provided by the embodiment of the invention can execute the battery fault diagnosis method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. For details of the social road coordination method provided in any embodiment of the present invention, reference may be made to the technical details not described in detail in this embodiment.
Example four
Fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention. Fig. 4 illustrates a block diagram of an exemplary device 12 suitable for use in implementing embodiments of the present invention. The device 12 shown in fig. 4 is only an example and should not bring any limitation to the function and scope of use of the embodiments of the present invention.
As shown in FIG. 4, device 12 is in the form of a general purpose computing device. The components of device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement a method for diagnosing a battery failure provided by an embodiment of the present invention. Namely: acquiring battery state monitoring data of a battery to be detected from a database, wherein the database is used for storing the battery state monitoring data of the battery; selecting a target fault matching rule from the fault matching rule set according to the natural environment parameters and/or the working environment parameters; and judging whether the battery to be detected fails or not according to the target fault matching rule and the battery state monitoring data.
EXAMPLE five
Fifth, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for diagnosing a battery fault according to any embodiment of the present invention. Namely: acquiring battery state monitoring data of a battery to be detected from a database, wherein the database is used for storing the battery state monitoring data of the battery; selecting a target fault matching rule from the fault matching rule set according to the natural environment parameters and/or the working environment parameters; and judging whether the battery to be detected has a fault or not according to the target fault matching rule and the battery state monitoring data.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (8)
1. A method of diagnosing a battery fault, comprising:
acquiring battery state monitoring data of a battery to be detected from a database, wherein the database is used for storing the battery state monitoring data of the battery; wherein the battery to be detected is a standby battery; the battery state monitoring data at least comprises battery capacity;
selecting a fault matching rule with a time period including the current time from the fault matching rule set as a first fault matching rule set to be screened; selecting a fault matching rule of which the battery identification set comprises the battery identification of the battery to be detected from the first fault matching rule set to be screened as a second fault matching rule set to be screened; the battery identification of the battery to be detected is used for representing the material of the battery to be detected;
selecting a target fault matching rule from the second fault matching rule set to be screened according to natural environment parameters and/or working environment parameters;
judging whether the battery to be detected fails or not according to the target fault matching rule and the battery state monitoring data;
the battery state monitoring data also comprises a battery identifier and timestamp information which are used for indicating the corresponding relation between the battery to be detected and the battery state monitoring data; and when the battery to be detected breaks down, tracing the source of the fault through the timestamp.
2. The method of claim 1, wherein the natural environment parameters include at least one of: temperature and humidity;
the working environment parameters at least comprise one of the following parameters: a reference operating voltage and a reference operating current.
3. The method according to claim 1 or 2, wherein selecting the target fault matching rule from the second set of fault matching rules to be screened according to the natural environment parameter and/or the working environment parameter comprises:
acquiring a current value of the natural environment parameter and/or a current value of the working environment parameter;
selecting a fault matching rule of which the value range of the natural environment parameters comprises the current value of the natural environment parameters from the second fault matching rule set to be screened as the target fault matching rule; alternatively, the first and second liquid crystal display panels may be,
selecting a fault matching rule of which the working environment parameter value range comprises the current value of the working environment parameter from the second fault matching rule set to be screened as the target fault matching rule; alternatively, the first and second electrodes may be,
and selecting the fault matching rule of which the value range of the natural environment parameters comprises the current values of the natural environment parameters and the value range of the working environment parameters also comprises the current values of the working environment parameters from the second fault matching rule set to be screened as the target fault matching rule.
4. The method of claim 1, wherein each fault matching rule in the set of fault matching rules comprises at least one of:
mathematical operations, logical operations, and sequential operations.
5. The method according to claim 1, wherein after determining whether the battery to be detected has a fault according to the target fault matching rule and the battery status monitoring data, the method further comprises:
and if the battery to be detected fails, performing fault alarm, storing the battery state monitoring data of the battery to be detected as battery failure data to a set storage area, and configuring a unique identifier of the battery failure data.
6. A diagnostic apparatus for a battery failure, characterized by comprising:
the monitoring data acquisition module is used for acquiring battery state monitoring data of the battery to be detected from a database, wherein the database is used for storing the battery state monitoring data of the battery; wherein the battery to be detected is a standby battery; the battery state monitoring data at least comprises battery capacity;
the time matching module is used for selecting the fault matching rule with the time period including the current time from the fault matching rule set as a first fault matching rule set to be screened;
the identification matching module is used for selecting a fault matching rule of which the battery identification set comprises the battery identification of the battery to be detected from the first fault matching rule set to be screened as a second fault matching rule set to be screened; the battery identification of the battery to be detected is used for representing the material of the battery to be detected;
the fault matching rule selection module is used for selecting a target fault matching rule from the second fault matching rule set to be screened according to the natural environment parameters and/or the working environment parameters;
the fault judgment module is used for judging whether the battery to be detected has a fault or not according to the target fault matching rule and the battery state monitoring data;
the battery state monitoring data also comprises a battery identifier and timestamp information which are used for indicating the corresponding relation between the battery to be detected and the battery state monitoring data; and when the battery to be detected fails, the failure tracing is realized through the timestamp.
7. An apparatus, characterized in that the apparatus comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of diagnosing a battery fault as recited in any one of claims 1-5.
8. A storage medium containing computer-executable instructions for performing the method of diagnosing a battery fault of any one of claims 1-5 when executed by a computer processor.
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| CN201910180808.5A CN109884533B (en) | 2019-03-11 | 2019-03-11 | Method and device for diagnosing battery fault, equipment and storage medium |
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| CN114236314A (en) * | 2021-12-17 | 2022-03-25 | 瀚云科技有限公司 | Fault detection method, device, equipment and storage medium |
| CN114490765B (en) * | 2022-01-25 | 2022-11-29 | 中国人民解放军32039部队 | Fault monitoring method and device and electronic equipment |
| CN117825973B (en) * | 2024-03-01 | 2024-05-17 | 深圳市健网科技有限公司 | Lithium battery state estimation method and system for distributed energy storage system |
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