CN113067042A - Energy storage device and fault prediction and diagnosis method - Google Patents
Energy storage device and fault prediction and diagnosis method Download PDFInfo
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- CN113067042A CN113067042A CN202110276182.5A CN202110276182A CN113067042A CN 113067042 A CN113067042 A CN 113067042A CN 202110276182 A CN202110276182 A CN 202110276182A CN 113067042 A CN113067042 A CN 113067042A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M10/4257—Smart batteries, e.g. electronic circuits inside the housing of the cells or batteries
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
- H01M10/482—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
- H01M10/488—Cells or batteries combined with indicating means for external visualization of the condition, e.g. by change of colour or of light density
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/005—Detection of state of health [SOH]
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
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- Chemical Kinetics & Catalysis (AREA)
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- General Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
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- Microelectronics & Electronic Packaging (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Secondary Cells (AREA)
Abstract
The invention provides an energy storage device and a fault prediction and diagnosis method, wherein the energy storage device comprises: the energy storage bidirectional converter comprises an energy storage upper computer, an energy storage bidirectional converter and a plurality of battery management systems which are sequentially connected, wherein each battery management system comprises a high-voltage box and a plurality of battery packs; the high-voltage box comprises a battery control unit; the battery pack comprises a battery management unit and a plurality of battery monomers; the battery management unit is in communication connection with the battery control unit; the energy storage upper computer is used for collecting, storing, calculating and comparing the electrical information of the battery management system, so that the fault positions of the fault battery pack and the fault battery monomer are diagnosed; the method for predicting and diagnosing the faults of the battery comprises the steps of carrying out similarity calculation, sorting and threshold comparison on voltage vectors of all battery packs in a battery management system to find out the fault battery packs, and then finding out the positions of single fault batteries according to the standard deviation of the vectors of all battery voltages in the fault battery packs in the time dimension, so that the faults of the battery are predicted and diagnosed.
Description
Technical Field
The invention belongs to the technical field of energy storage, and particularly relates to an energy storage device and a fault prediction and diagnosis method.
Background
In the power system, the energy storage technology can be used for effectively realizing the user demand side management, eliminating day and night peak-valley difference and smoothing load, reducing the power supply cost, promoting the utilization of renewable energy sources, improving the running stability of the power grid system, improving the power grid electric energy quality and ensuring the power supply reliability. The storage battery system used as a backup energy source directly influences the normal, reliable and safe operation of various devices in the application field if the storage battery is in a normal operation state.
The health of the battery pack depends on the worst state of health cells in the battery pack. A battery pack is generally composed of a plurality of battery cells or battery modules connected in series, and there are still performance differences between the individual battery cells in the battery pack that are tested and preferably grouped, and these differences can create new differences to varying degrees due to slight differences in the environment, such as temperature differences, during long-term operation of the battery. After long-term operation, the performance of individual batteries is obviously reduced, the performance of the battery pack is seriously influenced, and even accidents are caused; in addition, performance degradation and failure of the battery cells may reduce the state of charge value of the battery pack.
At present, new energy, micro-grid and electric automobile technologies are rapidly developed, the scale of energy storage application is increasingly large, the safety form faced by an energy storage system is increasingly severe, the pressure of energy storage system maintenance is increasingly large, and how to prejudge and accurately position faults before the faults occur and timely position and process the faults after the faults occur become problems to be solved urgently.
The general battery protection board can only perform simple real-time comparison protection, and real-time monitoring and fault diagnosis on the energy storage system are difficult to achieve.
Therefore, an energy storage device and a fault prediction and diagnosis method are needed to monitor an energy storage system in real time and diagnose faults of the energy storage system.
Disclosure of Invention
In order to solve the above problems, the present invention provides an energy storage device and a fault prediction and diagnosis method, which can monitor an energy storage system in real time and perform fault diagnosis on the energy storage system.
The invention provides an energy storage device, which comprises an energy storage upper computer, an energy storage bidirectional converter and a plurality of battery management systems which are sequentially connected, wherein the battery management systems are respectively connected in parallel; the high-voltage box comprises a Battery Control Unit (BCU) for controlling and protecting a battery pack group, estimating SOC (State of Charge) and uploading electric information; the battery pack comprises a Battery Management Unit (BMU) and a plurality of battery monomers, wherein the Battery Management Unit (BMU) is used for collecting and uploading electrical information of the battery monomers; the Battery Management Unit (BMU) is in communication connection with a Battery Control Unit (BCU) through a CAN bus; the energy storage bidirectional converter is used for controlling the charging and discharging processes of the battery pack and carrying out alternating current and direct current conversion.
As a further improvement of the above solution, the electrical information includes, but is not limited to, a voltage value, a current value, a temperature value, an SOC value, and the like.
As a further improvement of the above scheme, the Battery Management Unit (BMU) includes a current collection module, a temperature collection module, a voltage collection module, a microprocessor and a communication module, wherein the current collection module, the temperature collection module and the voltage collection module are respectively electrically connected to the microprocessor, and the microprocessor is electrically connected to the communication module.
As a further improvement of the above scheme, the Battery Management Unit (BMU) further includes an overcurrent fault determination module and a temperature fault determination module, and the overcurrent fault determination module and the temperature fault determination module are electrically connected to the microprocessor, respectively.
As a further improvement of the scheme, the communication module is used for uploading the acquired voltage information or current information or temperature information to the energy storage upper computer.
As a further improvement of the above solution, the energy storage upper computer includes:
the storage module is used for storing real-time voltage information in the charging and discharging process of the battery pack;
the similarity calculation module is used for calculating the similarity between the voltage information vector of the battery monomer in the battery pack and the mean value vector;
the consistency fault judgment module is used for predicting a fault battery pack according to the worst consistency between the battery pack where the vector with the largest similarity is located and other battery packs, and judging the battery pack where the vector with the largest similarity is located as the fault battery pack by combining the fact that the largest similarity is greater than a fault experience threshold value;
the standard deviation calculation module is used for calculating the standard deviation of the voltage information of the fault battery pack;
and the battery monomer fault judging module is used for judging the fault position of the battery monomer according to the battery monomer corresponding to the vector of the maximum value point as the standard deviation.
As a further improvement of the scheme, the battery management systems are connected in parallel through a high-voltage direct-current bus.
As a further improvement of the scheme, the high-voltage box further comprises a fuse, a circuit breaker and a control device.
As a further improvement of the scheme, the battery control unit is used for controlling the switch of the circuit breaker and alarming in abnormal conditions and forwarding the electrical information collected by each battery management unit to the energy storage upper computer through Ethernet communication.
As a further improvement of the scheme, the energy storage upper computer further comprises a display module, and the display unit is used for displaying the electric information of the battery monomer and the state of the circuit breaker in real time.
In order to achieve the above object, the present invention provides a method for predicting and diagnosing a fault of an energy storage device, comprising the steps of:
s1: during the charging and discharging process of each group of battery packs, the battery management unit sequentially obtains the voltage information alpha i (i is 1 … m) of the b battery cells of each battery pack in m battery packs in real time, such as [ V [ V ] ]1,1,V1,2,…V1,b],[V2,1,V2,2,…V2,b]……[Vm,1,Vm,2,…Vm,b]Uploading the voltage information at each moment to an energy storage upper computer for storage, wherein m and b are non-zero natural numbers respectively;
s2 internally sorting the voltage information vectors α i (i ═ 1 … m) to obtain sorted vectors β i (i ═ 1 … m), e.g., [ v ═ 1 m1,1,v1,2,…v1,b],[v2,1,v2,2,…v2,b]……[vm,1,vm,2,…vm,b]To find a mean vector
S3, calculating vector beta i (i is 1 … m) and mean vector
Degree of similarity of
S4: to the similarity etaiSorting, similarity ηiThe consistency of the battery pack where the largest vector is located and other battery packs is the worst, consistency fault prediction is carried out according to the consistency, and meanwhile, the consistency fault prediction is combined with a consistency fault experience threshold value
Making comparison on the similarity etaiGreater than an empirical threshold
The battery pack where the vector is located is judged as a fault battery pack;
s5: the energy storage upper computer calls the internal continuous time dimension (t) of the fault battery pack from the database1，t2，t3，…，tk) Voltage information of each battery cell pack of (1):
s6: calculating fault battery pack voltage information gammaiStandard deviation of (2)
And judging that the battery monomer corresponding to the vector of the maximum value point has a fault, thereby realizing fault positioning.
Due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. the invention relates to an energy storage device which comprises an energy storage upper computer, an energy storage bidirectional converter and a plurality of battery management systems which are sequentially connected, wherein the battery management systems are respectively connected in parallel, each battery management system comprises a high-voltage box and a plurality of battery packs, and the high-voltage boxes and the battery packs are sequentially connected in series; the high-voltage box comprises a Battery Control Unit (BCU) for controlling and protecting a battery pack group, estimating SOC (State of Charge) and uploading electric information; the battery pack comprises a Battery Management Unit (BMU) and a plurality of battery monomers, wherein the Battery Management Unit (BMU) is used for collecting and uploading electrical information of the battery monomers; the Battery Management Unit (BMU) is in communication connection with a Battery Control Unit (BCU) through a CAN bus; the energy storage upper computer is used for collecting, storing, calculating and comparing the electrical information of the battery management systems, so that the fault positions of the fault battery pack and the fault battery monomer are diagnosed; each battery pack comprises a management unit (BMU) and a plurality of battery monomers, the BMU is used for collecting and uploading electrical information of the battery monomers, and the BMU is in communication connection with a Battery Control Unit (BCU) through a CAN bus; the electric information of each battery cell pack can be communicated with the energy storage upper computer, so that the energy storage device can be monitored in real time, and in addition, the battery voltage information between the battery packs and the battery voltage information of the battery cells charged or discharged within a period of time can be conveniently utilized to diagnose the fault of the energy storage device.
2. The invention relates to an energy storage device, which comprises an energy storage upper computer and a plurality of energy storage devices, wherein the energy storage upper computer comprises: the storage module is used for storing real-time voltage information in the charging and discharging process of the battery pack; the similarity calculation module is used for calculating the similarity between the voltage information vector of the battery monomer in the battery pack and the mean value vector; the consistency fault judgment module is used for predicting a fault battery pack according to the worst consistency between the battery pack where the vector with the largest similarity is located and other battery packs, and judging the battery pack where the vector with the largest similarity is located as the fault battery pack by combining the fact that the largest similarity is greater than a fault experience threshold value; the standard deviation calculation module is used for calculating the standard deviation of the voltage information of the fault battery pack; the battery monomer fault judgment module is used for judging the fault position of the battery monomer according to the standard deviation as the battery monomer corresponding to the vector of the maximum value point, the upper energy storage computer stores the electrical information in the time dimension through the electrical information uploaded by the battery management unit, particularly calculates the similarity of the voltage information so as to predict a consistent fault battery pack and obtain the consistent fault battery pack, the vector of the maximum value point of the standard deviation of the voltage of the single battery in the fault battery pack obtained by the standard deviation calculation module is the fault single battery, therefore, the position of the single battery with faults is obtained, in a word, the energy storage upper computer provided by the invention can predict the faults which are possible to happen and find out that the faults happen, and the possible and occurred positions of the faults are accurately positioned, so that fault diagnosis and real-time monitoring of the energy storage device are realized.
3. The invention provides a fault prediction and diagnosis method of an energy storage device, which is characterized in that similarity calculation and sequencing are carried out on voltage vectors of each battery pack in a battery management system, the voltage vectors are compared with a fault experience threshold value to find out the battery pack with a fault, and then a fault battery monomer is found out to carry out fault location through standard deviation of the voltage vectors of each battery in the battery pack in a time dimension and sequencing comparison.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts;
FIG. 1 is a schematic diagram of the electrical connections of the energy storage device of the present invention;
FIG. 2 is a schematic diagram of a communication connection of an energy storage device according to the present invention;
FIG. 3 is a schematic diagram of the battery pack assembly of the present invention;
FIG. 4 is a schematic diagram of a fault prediction and diagnosis process of the energy storage device of the present invention;
reference numerals:
10. an energy storage upper computer; 20. an energy storage bidirectional converter; 30. a battery management system; 300. a high pressure tank; 3000. a battery control unit; 3001. a circuit breaker; 301. a battery pack; 3010. a battery management unit; 3011. and (4) a battery cell.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that all the directional indicators such as the first, second, upper, lower, left, right, front and rear … … in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture as shown in the drawings, and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention.
The invention will be further described with reference to the following figures:
example 1:
referring to fig. 1 to 3, the present invention provides an energy storage device, including an energy storage upper computer 10, an energy storage bidirectional converter 20, and n battery management systems 30 connected in sequence, where the n battery management systems 30 are respectively connected in parallel, and the battery management system 30 includes 1 high-voltage box 300 and m battery packs 301(pack) connected in series; the high-voltage box 300 includes a battery control unit 3000(BCU) for controlling and protecting the battery pack 301 set, soc (state of charge) estimation (estimation of remaining capacity of battery), and uploading of electrical information; the battery pack 301 comprises a battery management unit 3010(BMU) and 16 battery units 3011 connected in series, wherein the battery management unit 3010(BMU) is used for collecting and uploading electrical information of the battery units 3011; the battery management unit 3010(BMU) is in communication connection with the battery control unit 3000(BCU) through a CAN bus; the energy storage bidirectional converter 20 is used for controlling the charging and discharging processes of the battery pack 301 and performing alternating current and direct current conversion; the energy storage upper computer 10 is used for collecting, storing, calculating and comparing the electrical information of the battery management systems 30, so that the fault positions of the fault battery pack 301 and the fault battery monomer 3011 can be diagnosed; each battery pack 301 comprises a management unit (BMU) and a plurality of battery monomers 3011, the battery management unit 3010(BMU) is used for collecting and uploading electrical information of the battery monomers 3011, and the battery management unit 3010(BMU) is in communication connection with the battery control unit 3000(BCU) through a CAN bus; the electric information of each single battery 3011 package can communicate with the energy storage upper computer 10, so that real-time monitoring on the energy storage device is facilitated, and in addition, fault diagnosis is performed on the energy storage device by utilizing the battery voltage information between the battery packages 301 and the charging or discharging battery voltage information of the single battery 3011 in a period of time.
As a preferred embodiment, the electrical information includes, but is not limited to, a voltage value, a current value, a temperature value, an SOC value, and the like.
As a preferred embodiment, the battery management unit 3010(BMU) includes a current collection module, a temperature collection module, a voltage collection module, a microprocessor, and a communication module, where the current collection module, the temperature collection module, and the voltage collection module are respectively electrically connected to the microprocessor, and the microprocessor is electrically connected to the communication module.
As a preferred embodiment, the battery management unit 3010(BMU) further includes an overcurrent fault determination module and a temperature fault determination module, and the overcurrent fault determination module and the temperature fault determination module are electrically connected to the microprocessor respectively.
As a preferred embodiment, the communication module is configured to upload the acquired voltage information, current information, temperature information, or the like to the energy storage upper computer 10.
As a preferred embodiment, the energy storage upper computer 10 includes:
the storage module is used for storing real-time voltage information in the charging and discharging processes of the battery pack 301;
the similarity calculation module is used for calculating the similarity between the voltage information vector of the single battery 3011 in the battery pack 301 and the mean value vector;
the consistency fault judgment module is used for predicting the fault battery pack 301 according to the worst consistency between the battery pack 301 with the vector with the maximum similarity and other battery packs 301, and judging that the battery pack 301 with the vector with the maximum similarity is the fault battery pack 301 by combining the fact that the maximum similarity is greater than a fault experience threshold;
the standard deviation calculation module is used for calculating the standard deviation of the voltage information of the fault battery pack 301;
the battery monomer 3011 fault judgment module is configured to judge a fault position of the battery monomer 3011 according to the battery monomer 3011 corresponding to the vector where the standard deviation is the maximum value point; the energy storage upper computer 10 stores the electrical information in the time dimension through the electrical information uploaded by the battery management unit 3010, particularly performs similarity calculation on the voltage information to predict the consistency failure battery pack 301 and obtain the consistency failure battery pack 301, obtains a vector of a maximum value point of a voltage standard deviation of the battery monomers 3011 in the failure battery pack 301 as the failure battery monomer 3011 by using the standard deviation calculation module, and thus obtains the position of the failure battery monomer 3011.
As a preferred embodiment, the plurality of battery management systems 30 are connected in parallel by a high voltage dc bus.
As a preferred embodiment, the high voltage box 300 further includes a fuse, a circuit breaker 3001, and a control device.
As a preferred embodiment, the battery control unit 3000 is configured to control the circuit breaker 3001 to be turned on and off and to alarm an abnormal condition, and is configured to forward the electrical information collected by each battery management unit 3010 to the energy storage upper computer 10 through ethernet communication.
As a preferred embodiment, the energy storage upper computer 10 further includes a display module, and the display unit is configured to display the electrical information of the battery cell 3011 and the state of the circuit breaker 3001 in real time.
Example 2:
referring to fig. 4, the present invention further provides a method for predicting and diagnosing a fault of an energy storage device, which includes the steps of:
s1: charging and discharging of each battery pack 301In the process, the battery management unit 3010 sequentially obtains, in real time, voltage information α i (i is 1 … m) of the 16 battery cells 3011 of each battery pack 301 of the m battery packs 301, such as [ V ═ V1,1,V1,2,…V1,16],[V2,1,V2,2,…V2,16]……[Vm,1,Vm,2,…Vm,16]And the voltage information at each moment is uploaded to the energy storage upper computer 10 for storage;
s2 internally sorting the voltage information vectors α i (i ═ 1 … m) to obtain sorted vectors β i (i ═ 1 … m), e.g., [ v ═ 1 m1,1,v1,2,…v1,16],[v2,1,v2,2,…v2,16]……[vm,1,vm,2,…vm,16]To find a mean vector
S3, calculating vector beta i (i is 1 … m) and mean vector
Degree of similarity of
S4: to the similarity etaiSorting, similarity ηiThe consistency between the battery pack 301 with the largest vector and other battery packs 301 is the worst, and consistency fault prediction is carried out according to the consistency and the experience threshold of consistency fault
Making comparison on the similarity etaiGreater than an empirical threshold
The battery pack 301 in which the vector of (a) is located is determined as a faulty battery pack 301;
s5: the energy storage upper computer 10 retrieves the internal continuous time dimension (t) of the fault battery pack 301 from the database1，t2，t3，…，tk) Each battery cell ofVoltage information of the body 3011 packet:
s6: calculating the voltage information gamma of the faulty battery pack 301iStandard deviation of (2)
And judging that the single battery 3011 corresponding to the vector with the maximum value point as the standard deviation has a fault, thereby realizing fault positioning.
According to the invention, similarity calculation and sequencing are carried out on the voltage vectors of each battery pack 301 in the battery management system 30, and the voltage vectors are compared with the fault experience threshold value to find out the battery pack 301 with the fault, and then the standard deviation of the vectors of the battery voltages in the battery pack 301 in the time dimension is used for sequencing and comparing to find out the fault battery monomer 3011 for fault positioning.
The foregoing is a detailed description of the invention, and specific examples are used herein to explain the principles and implementations of the invention, the above description being merely intended to facilitate an understanding of the principles and core concepts of the invention. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. An energy storage device is characterized by comprising an energy storage upper computer, an energy storage bidirectional converter and a plurality of battery management systems which are sequentially connected, wherein the battery management systems are respectively connected in parallel, each battery management system comprises a high-voltage box and a plurality of battery packs, and the high-voltage boxes and the battery packs are sequentially connected in series; the high-voltage box comprises a battery control unit, a battery pack group protection unit, a battery pack SOC estimation unit and a battery pack group uploading unit, wherein the battery control unit is used for controlling and protecting the battery pack group, estimating the SOC and uploading electric information; the battery pack comprises a battery management unit and a plurality of battery monomers, wherein the battery management unit is used for collecting and uploading electrical information of the battery monomers; the battery management unit is in communication connection with the battery control unit through a CAN bus; the energy storage bidirectional converter is used for controlling the charging and discharging processes of the battery pack and carrying out alternating current and direct current conversion.
2. The energy storage device of claim 1, wherein said electrical information includes, but is not limited to, voltage values, current values, temperature values, SOC values, and the like.
3. The energy storage device according to claim 1 or 2, wherein the battery management unit comprises a current collection module, a temperature collection module, a voltage collection module, a microprocessor and a communication module, the current collection module, the temperature collection module and the voltage collection module are respectively electrically connected with the microprocessor, and the microprocessor is electrically connected with the communication module.
4. The energy storage device according to claim 3, wherein the battery management unit further comprises an overcurrent fault determination module and a temperature fault determination module, and the overcurrent fault determination module and the temperature fault determination module are electrically connected to the microprocessor respectively.
5. The energy storage device as claimed in claim 3, wherein the communication module is configured to upload the collected voltage information, current information, temperature information, or the like to an energy storage upper computer.
6. An energy storage device as claimed in claim 1 or 2, wherein said energy storage host computer comprises:
the storage module is used for storing real-time voltage information in the charging and discharging process of the battery pack;
the similarity calculation module is used for calculating the similarity between the voltage information vector of the battery monomer in the battery pack and the mean value vector;
the consistency fault judgment module is used for predicting a fault battery pack according to the worst consistency between the battery pack where the vector with the largest similarity is located and other battery packs, and judging the battery pack where the vector with the largest similarity is located as the fault battery pack by combining the fact that the largest similarity is greater than a fault experience threshold value;
the standard deviation calculation module is used for calculating the standard deviation of the voltage information of the fault battery pack;
and the battery monomer fault judging module is used for judging the fault position of the battery monomer according to the battery monomer corresponding to the vector of the maximum value point as the standard deviation.
7. An energy storage device according to claim 1 or 2, wherein said plurality of battery management systems are connected in parallel by a high voltage dc bus.
8. An energy storage device according to claim 1 or 2, wherein said high voltage tank further comprises fuses, circuit breakers and control means.
9. The energy storage device according to claim 1 or 2, wherein the energy storage upper computer further comprises a display module, and the display unit is used for displaying the electrical information of the battery cells and the state of the circuit breaker in real time.
10. A method for predictive fault diagnosis of an energy storage device, comprising:
the method comprises the following steps:
s1: during the charging and discharging process of each group of battery packs, the battery management unit sequentially obtains the voltage information alpha i (i is 1 … m) of the b battery cells of each battery pack in m battery packs in real time, such as [ V [ V ] ]1,1,V1,2,…V1,b],[V2,1,V2,2,…V2,b]……[Vm,1,Vm,2,…Vm,b]Uploading the voltage information at each moment to an energy storage upper computer for storage, wherein m and b are non-zero natural numbers respectively;
s2 internally sorting the voltage information vectors α i (i ═ 1 … m) to obtain sorted vectors β i (i ═ 1 … m), e.g., [ v ═ 1 m1,1,v1,2,…v1,b],[v2,1,v2,2,…v2,b]……[vm,1,vm,2,…vm,b]To find a mean vector
S3, calculating vector beta i (i is 1 … m) and mean vector
Degree of similarity of
S4: to the similarity etaiSorting, similarity ηiThe consistency of the battery pack where the largest vector is located and other battery packs is the worst, consistency fault prediction is carried out according to the consistency, and meanwhile, the consistency fault prediction is combined with a consistency fault experience threshold value
Making comparison on the similarity etaiGreater than an empirical threshold
The battery pack where the vector is located is judged as a fault battery pack;
s5: the energy storage upper computer calls the internal continuous time dimension (t) of the fault battery pack from the database1，t2，t3，…，tk) Voltage information of each battery cell pack of (1):
s6: calculating fault battery pack voltage information gammaiStandard deviation of (2)
And judging that the battery monomer corresponding to the vector of the maximum value point has a fault, thereby realizing fault positioning.
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