CN117276706B - Battery management method, device, electronic equipment and storage medium - Google Patents

Battery management method, device, electronic equipment and storage medium Download PDF

Info

Publication number
CN117276706B
CN117276706B CN202311361970.XA CN202311361970A CN117276706B CN 117276706 B CN117276706 B CN 117276706B CN 202311361970 A CN202311361970 A CN 202311361970A CN 117276706 B CN117276706 B CN 117276706B
Authority
CN
China
Prior art keywords
battery
battery pack
retired
processing
index parameter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202311361970.XA
Other languages
Chinese (zh)
Other versions
CN117276706A (en
Inventor
庄胜加
赵明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhuhai Zhongli New Energy Technology Co ltd
Original Assignee
Zhuhai Zhongli New Energy Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhuhai Zhongli New Energy Technology Co ltd filed Critical Zhuhai Zhongli New Energy Technology Co ltd
Priority to CN202311361970.XA priority Critical patent/CN117276706B/en
Publication of CN117276706A publication Critical patent/CN117276706A/en
Application granted granted Critical
Publication of CN117276706B publication Critical patent/CN117276706B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • 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
    • H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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
    • 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

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Chemical & Material Sciences (AREA)
  • Marketing (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • General Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Electrochemistry (AREA)
  • Manufacturing & Machinery (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • General Health & Medical Sciences (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Educational Administration (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Primary Health Care (AREA)
  • Game Theory and Decision Science (AREA)

Abstract

The application is applicable to the technical field of equipment management, and provides a battery management method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: monitoring a first electrical index parameter of each battery pack in the process of supplying power to the energy storage power plant; if the first electrical index parameter of any battery pack is detected to meet the abnormality identification condition associated with the battery pack, performing abnormality processing on the any battery pack through a multi-level abnormality response flow; acquiring a second electrical index parameter of any battery pack after the abnormality processing; and if the second electrical index parameter is in the legal parameter range corresponding to any battery pack, continuing to supply power to the energy storage power plant through any battery pack. By adopting the method, after the fact that the second electrical index parameter of the repaired battery pack is in the legal parameter range is detected, the retired battery is continuously used, the utilization rate of the residual resources of the retired battery can be improved as much as possible, and unnecessary resource waste is reduced.

Description

Battery management method, device, electronic equipment and storage medium
Technical Field
The application belongs to the technical field of equipment management, and particularly relates to a method and device for battery management, electronic equipment and a storage medium.
Background
Along with the continuous development of new energy technology, the manufacturing and application scenes of lithium ion power batteries are increased, and after a part of lithium batteries are used for a certain time, the situations of insufficient battery quantity, unstable voltage and the like can occur to be replaced, so that the lithium batteries become retired batteries. The retired battery still has considerable residual functional resources to be developed, so how to effectively use the retired battery becomes one of the focus of new energy technology development.
In the existing battery management technology, when the retired battery is used, if the retired battery fails, the retired battery can be directly identified as a scrapped battery and replaced, and residual functional resources to be developed still exist after the abnormal fault condition is possibly repaired.
Disclosure of Invention
The embodiment of the application provides a battery management method, a device, electronic equipment and a storage medium, which can solve the problems that if the retired battery fails, the retired battery is directly identified as a scrapped battery and replaced, residual functional resources to be developed still exist after the abnormal fault situation is possibly repaired, and the use rate of the existing retired battery is greatly reduced by adopting the management mode, so that the condition of energy waste is easily caused.
In a first aspect, embodiments of the present application provide a method of battery management applied to an energy storage power plant comprising a plurality of battery packs configured with retired batteries; the battery management method comprises the following steps:
monitoring a first electrical index parameter of each battery pack in the process of supplying power to the energy storage power plant;
if the first electrical index parameter of any battery pack is detected to meet the abnormality identification condition associated with the battery pack, performing abnormality processing on the any battery pack through a multi-level abnormality response flow; the multi-level exception response flow includes a plurality of processing levels; each processing hierarchy contains at least one exception response policy;
acquiring a second electrical index parameter of any battery pack after the abnormality processing;
and if the second electrical index parameter is in the legal parameter range corresponding to any battery pack, continuing to supply power to the energy storage power plant through any battery pack.
In a possible implementation manner of the first aspect, if the first electrical index parameter of any battery pack is detected to meet an anomaly identification condition associated with the battery pack, performing anomaly processing on the any battery pack through a multi-level anomaly response procedure, including:
Performing exception processing on any battery pack through at least one exception response strategy corresponding to an Nth hierarchy based on the hierarchy order corresponding to each processing hierarchy; the initial value of N is a first value;
the obtaining the second electrical index parameter of the battery pack after the exception handling includes:
monitoring the second electrical index parameter of any battery pack after the abnormal response processing;
and if the second electrical index parameter meets the abnormality identification condition, increasing the value of N, and returning to execute the hierarchy order corresponding to each processing hierarchy, and performing abnormality processing on any battery pack through at least one abnormality response strategy corresponding to an Nth hierarchy until the second electrical index parameter is within the legal parameter range.
In a possible implementation manner of the first aspect, the performing, by using the exception response policy corresponding to the nth hierarchy, exception processing on the any battery pack based on a hierarchy order corresponding to each processing hierarchy includes:
if the value of N is the first value, updating at least one operation parameter of any battery pack according to the corresponding adjustment amplitude of any battery pack; the operating parameters include: operating temperature, operating power, connected loop, and equalization mode;
If the value of N is a second value, determining an abnormal scene of any battery pack, and eliminating the abnormal event of any battery pack through emergency response strategy processing associated with the abnormal scene;
if the value of N is a third value, determining an associated battery pack influenced by the abnormal event of any battery pack, and carrying out safety isolation on any battery pack and the associated battery pack;
the first value is less than the second value, and the second value is less than the third value.
In a possible implementation manner of the first aspect, after the determining, if the value of N is the third value, an associated battery pack affected by the abnormal event of the any battery pack, performing safety isolation on the any battery pack and the associated battery pack, the method further includes:
acquiring an anomaly analysis report of the anomaly event;
determining battery grouping information of any battery pack according to the abnormality analysis report;
and if the battery grouping information is inconsistent with the original grouping information of any battery pack, adjusting the retired battery contained in any battery pack based on the battery grouping information.
In a possible implementation manner of the first aspect, before the monitoring of the first electrical index parameter of each of the battery packs in the process of supplying power to the energy storage power plant, the method further includes:
Respectively acquiring the use information of each retired battery in the battery pack;
determining a first battery loss factor for the retired battery based on the usage information;
calculating an equalization deviation factor of the battery pack according to the first battery loss coefficient of each retired battery in the battery pack;
if the balance deviation factor is larger than a preset balance deviation threshold value, grouping adjustment information about the battery pack is generated;
and replacing at least one of the retired batteries within the battery pack in response to the grouping adjustment information such that the equalization deviation factor of the replaced battery pack is less than the equalization deviation threshold.
In a possible implementation manner of the first aspect, the replacing at least one of the retired batteries in the battery pack in response to the packet adjustment information includes:
if two or more pieces of grouping adjustment information are received, determining discrete retired batteries in the battery packs corresponding to each piece of grouping adjustment information respectively; the difference value between the first battery loss coefficient of the discrete retired battery and the average loss coefficient corresponding to the battery pack is larger than a preset deviation threshold; the bias threshold is determined based on the equalization bias factor;
Determining a degree of matching between each discrete retired battery and the battery pack based on the average loss coefficient corresponding to each battery pack and the first battery loss coefficient of the discrete retired battery;
and if the matching degree between any discrete retired battery and the battery pack is larger than a preset matching threshold value, taking the discrete retired battery as a target substitute battery of the battery pack.
In a possible implementation manner of the first aspect, after the obtaining the second electrical index parameter of the any battery pack after the exception handling, the method further includes:
if the second electrical index parameter of any battery pack is out of the legal parameter range after the exception processing of all the processing levels, respectively determining the second battery loss of each retired battery in any battery pack;
and identifying a scrapped battery from the retired batteries based on the second battery loss.
In a second aspect, an embodiment of the present application provides a device for battery management, including:
the first electrical index parameter monitoring unit is used for monitoring first electrical index parameters of each battery pack in the process of supplying power to the energy storage power plant;
The abnormality processing unit is used for carrying out abnormality processing on any battery pack through a multi-level abnormality response flow if the first electrical index parameter of any battery pack is detected to meet the abnormality identification condition associated with the battery pack; the multi-level exception response flow includes a plurality of processing levels; each processing hierarchy contains at least one exception response policy;
a second electrical index parameter obtaining unit, configured to obtain a second electrical index parameter of the any battery pack after the abnormality processing;
and the abnormality repair unit is used for continuously supplying power to the energy storage power plant through any battery pack if the second electrical index parameter is in the legal parameter range corresponding to any battery pack.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor implementing the method according to any one of the first aspect when executing the computer program.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements a method as in any one of the first aspects above.
In a fifth aspect, embodiments of the present application provide a computer program product, which, when run on an electronic device, causes the electronic device to perform the method of any one of the first aspects.
Compared with the prior art, the embodiment of the application has the beneficial effects that: supplying power to an energy storage power plant through a battery pack provided with retired batteries, acquiring first electrical index parameters of each battery pack in the power supply process, matching the first electrical index parameters with abnormal identification conditions corresponding to the battery pack, and judging whether the battery pack is abnormal or not; if an abnormal condition exists, abnormal events of the battery pack can be processed in an abnormal mode through a preset multi-level abnormal response flow, then a second electrical index parameter after abnormal processing is obtained, whether the battery pack is in a legal parameter range or not is judged, if yes, the abnormal events are judged to be repaired, therefore, the battery pack containing the retired battery can be continuously used for supplying power to an energy storage power plant, and the purpose of efficiently utilizing the retired battery is achieved. Compared with the existing battery management technology, in the embodiment of the application, when the retired battery has abnormal faults, the retired battery is not directly replaced, but the fault event is abnormally repaired through a multi-level abnormal response flow, so that the accuracy of abnormal repair can be improved, the retired battery is continuously used after the second electrical index parameter of the battery pack is detected to be within the legal parameter range after repair, the utilization rate of the rest resources of the retired battery can be improved as much as possible, and unnecessary resource waste is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an energy storage plant according to an embodiment of the present disclosure;
FIG. 2 is a schematic illustration of an implementation of a method of battery management provided in an embodiment of the present application;
fig. 3 is a flowchart of a specific implementation of a method of battery management in S202 and S203 according to a second embodiment of the present application;
fig. 4 is a flowchart of a specific implementation of a method of battery management at S2021 provided in the third embodiment of the present application;
FIG. 5 is a schematic diagram of a multi-level exception response flow provided by an embodiment of the present application;
fig. 6 is a flowchart of a specific implementation of a method for battery management provided in a fourth embodiment of the present application before S201;
fig. 7 is a flowchart of a specific implementation of a method for battery management provided in a fifth embodiment of the present application after S202;
Fig. 8 is a schematic structural diagram of a battery management device according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
In addition, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
The battery management method provided by the embodiment of the application can be applied to electronic equipment capable of realizing battery management, such as a server, a notebook computer, an ultra-mobile personal computer (UMPC) and the like. The embodiment of the application does not limit the specific type of the electronic device.
Exemplary, fig. 1 shows a schematic structural diagram of an energy storage power plant according to an embodiment of the present application. Referring to fig. 1, the energy storage power plant may include a plurality of battery packs, and each battery pack may include a plurality of batteries for supplying power. The above-mentioned battery pack may include at least one retired battery, such as the battery pack 1 and the battery pack 2 in fig. 1, the batteries in the battery pack 1 may be retired batteries, and part of the batteries in the battery pack 2 may be retired batteries, that is, the number of retired batteries included in one battery pack may be determined according to practical situations. Of course, in some battery packs, no retired battery may be included, such as battery pack 3, and the proportion of retired battery in a specific battery pack may be set according to the actual requirement of the energy storage power plant, which is not limited herein.
In this embodiment, the electronic device in the energy storage power plant may specifically be a server 11, where the server 11 may receive battery data about each battery pack, the battery data may include a first battery index parameter, and the server 11 may monitor each battery pack based on the battery data, so as to implement management of the battery packs in the energy storage power plant.
Referring to fig. 2, fig. 2 is a schematic diagram illustrating an implementation of a method for battery management according to an embodiment of the present application, where the method includes the following steps:
in S201, a first electrical index parameter of each battery pack during the power supply of the energy storage power plant is monitored.
In this embodiment, the battery pack may be configured with a retired battery, where the retired battery is specifically a raw material battery, and may be a battery retired from use of the new energy automobile, and of course, may also include a battery retired in other use scenarios, where the source of the retired battery is not limited. A plurality of batteries (which can comprise at least one retired battery) form a battery pack through series connection, parallel connection and the like; alternatively, a battery pack may be formed by a retired battery to integrate as much mechanical and electrical structures of the retired battery as possible, and the specific battery pack may be formed according to the actual situation, which is not limited herein.
In this embodiment, the energy storage power plant may supply power to the energy storage power plant through a plurality of battery packs, and in order to monitor the operation condition of each battery pack so as to manage each battery pack, the electronic device may acquire the first electrical index parameter of each battery pack. Wherein the first electrical index parameter includes: power of the battery pack, output voltage, output current, battery temperature, equalization strategy, and the power supply loop in which the battery pack is located.
In this embodiment, since the battery packs may include retired batteries, there is often a certain difference between the battery performances of the retired batteries, that is, there is a certain difference between the actual operating parameters of the retired batteries and the rated operating parameters, and power cannot be supplied with the rated operating parameters, in this case, the electronic device may configure corresponding usage policies for different battery packs, that is, each battery pack may correspond to one usage policy, and of course, a plurality of battery packs having the same or similar electrical characteristics may correspond to the same usage policy, which may be specifically determined according to the electrical characteristics of each battery pack. The usage policy may include an abnormal recognition condition corresponding to the battery pack and a legal parameter range corresponding to the battery pack.
In this embodiment, if the electronic device detects that the first electrical index parameter of the battery pack is within the legal parameter range, it is identified that the battery pack is in a normal working state, and at this time, the battery pack can continue to supply power to the energy storage power plant; otherwise, if the first electrical index parameter is detected to be out of the legal parameter range, further abnormality recognition is needed, namely, the first electrical index parameter and the corresponding abnormality recognition condition are matched and recognized to determine whether abnormality processing is needed.
In one possible implementation manner, the first electrical index parameter includes parameter values of multiple dimensions, such as a battery temperature, a battery power and a supply current, the electronic device matches the parameter values of each dimension with corresponding legal parameter ranges, if it is detected that the parameter value of any dimension is outside the corresponding parameter range, it is identified that the first electrical index parameter meets an abnormal identification condition of the associated dimension, and the operation of S202 is performed.
In S202, if it is detected that the first electrical index parameter of any battery pack meets an abnormality identification condition associated with the battery pack, performing abnormality processing on the any battery pack through a multi-level abnormality response procedure; the multi-level exception response flow includes a plurality of processing levels; each processing hierarchy contains at least one exception response policy.
In this embodiment, each battery pack may correspond to a utilization policy, where the utilization policy may include an anomaly identification condition corresponding to the battery pack, and if it is detected that a first electrical index parameter of any battery pack meets the anomaly identification condition corresponding to the battery pack, it is determined that the any battery pack is an anomaly battery pack, and anomaly processing needs to be performed on the anomaly battery pack, so that anomaly processing may be performed on the anomaly battery pack through a preset multi-level anomaly response procedure.
In one possible implementation manner, the multi-level abnormal response flow of each battery pack can be recorded in the utilization policy of each battery pack, that is, the multi-level abnormal response flow associated with each battery pack can be different, so that personalized accurate abnormal processing for different battery packs can be realized.
In this embodiment, the multi-level exception response flow includes a plurality of processing levels, and each processing level may include at least one exception response policy. The electronic device can sequentially perform exception handling on the exception battery pack through the exception response policies corresponding to the processing levels according to the level order of the processing levels. For example, the above-mentioned exception response flow includes 3 processing levels, namely processing level 1, processing level 2 and processing level 3, and the electronic device will perform exception processing on the exception battery pack through the exception response policy of processing level 1; then, carrying out exception handling on the abnormal battery pack through an exception response strategy of the processing level 2; and finally, carrying out exception handling on the abnormal battery pack through an exception response strategy of the processing level 3.
If the electronic device performs exception processing through the corresponding processing hierarchy, the electronic device may perform exception processing through one of the exception response policies or may perform exception processing through a plurality of the exception response policies.
In one possible implementation manner, each abnormal response policy may correspond to a parameter value of one dimension, when it is detected that the first electrical index parameter meets the abnormal identification condition, the parameter value of the dimension where the abnormality exists may be determined, and the abnormal battery pack is subjected to abnormal processing through the abnormal response policy corresponding to the abnormal dimension in the processing hierarchy. For example, if the anomaly dimension is the battery temperature, the anomaly response policy that can be corresponding may be the anomaly response policy of the cooling dimension, so that one or more anomaly response policies can be accurately determined from the plurality of anomaly response policies according to the actual anomaly condition to perform anomaly processing, and the accuracy of anomaly processing is improved.
In S203, a second electrical index parameter of the any battery pack after the abnormality processing is acquired.
In this embodiment, the electronic device performs the exception processing on the abnormal battery pack sequentially through each exception response policy according to the order of the processing levels, and after performing the exception processing, the electronic device may acquire the electrical index parameter corresponding to the abnormal battery pack again, that is, the second electrical index parameter, so as to determine whether to continue to perform the exception processing on the battery pack through the exception response policy of the next processing level.
If the second electrical index parameter is out of the legal parameter range corresponding to the abnormal battery pack, the abnormal condition is not eliminated, and the electronic equipment can perform abnormal processing on the abnormal battery pack through an abnormal response strategy of the next processing level; and if the second electrical index parameter is within the legal parameter range corresponding to the abnormal battery pack, the abnormal condition is repaired, and the operation of S204 is executed.
In S204, if the second electrical index parameter is within the legal parameter range corresponding to the any battery pack, power is continuously supplied to the energy storage power plant through the any battery pack.
In this embodiment, if the electronic device detects that the abnormal repair is performed, the second electrical index parameter of the abnormal battery pack is within the legal parameter range, and then it is identified that the abnormal condition of the abnormal battery pack is repaired, and the battery pack can be used for supplying power to the energy storage power plant continuously, so that the remaining resources of the retired battery can be utilized as much as possible, and the utilization rate of the resources is improved.
It can be seen from the foregoing that, in the method for battery management provided by the embodiment of the present application, a battery pack configured with a retired battery supplies power to an energy storage power plant, and in the power supply process, a first electrical index parameter of each battery pack is obtained, and the first electrical index parameter is matched with an abnormality identification condition corresponding to the battery pack, so as to determine whether the battery pack has an abnormality; if an abnormal condition exists, abnormal events of the battery pack can be processed in an abnormal mode through a preset multi-level abnormal response flow, then a second electrical index parameter after abnormal processing is obtained, whether the battery pack is in a legal parameter range or not is judged, if yes, the abnormal events are judged to be repaired, therefore, the battery pack containing the retired battery can be continuously used for supplying power to an energy storage power plant, and the purpose of efficiently utilizing the retired battery is achieved. Compared with the existing battery management technology, in the embodiment of the application, when the retired battery has abnormal faults, the retired battery is not directly replaced, but the fault event is abnormally repaired through a multi-level abnormal response flow, so that the accuracy of abnormal repair can be improved, the retired battery is continuously used after the second electrical index parameter of the battery pack is detected to be within the legal parameter range after repair, the utilization rate of the rest resources of the retired battery can be improved as much as possible, and unnecessary resource waste is reduced.
Fig. 3 shows a flowchart of a specific implementation of a method of battery management in S202 and S203 according to the second embodiment of the present application. Referring to fig. 3, with respect to the embodiment shown in fig. 2, S202 in a method for battery management provided in this embodiment includes: s2021, S203 comprises S2031 to S2032, which are described in detail below:
in S2021, performing, based on the order of the levels corresponding to the respective processing levels, exception processing on the any one battery pack by at least one of the exception response policies corresponding to the nth level; the initial value of N is a first value.
In this embodiment, the multi-level exception handling flow includes a plurality of processing levels, each corresponding to a level order. The electronic equipment can determine the hierarchy order of the processing hierarchies according to the influence degree on the energy storage power plant from low to high, wherein the processing hierarchy with lower influence degree corresponds to the earlier hierarchy order; on the contrary, the processing levels with higher influence degree correspond to later level sequences, so that abnormal conditions can be processed step by step, and the influence of abnormal processing on the actual operation of the energy storage power plant is reduced.
Because the battery pack used in the energy storage power plant contains the retired battery, the stability of the retired battery is lower than that of a normal battery, so that the probability of abnormal conditions is higher, if a processing mode that the operation is suspended or the battery pack is replaced and the like has larger influence on the power supply operation is immediately adopted when the retired battery is abnormal, the operation time of the energy storage power plant is greatly reduced, the stability of the power supply of the energy storage power plant is influenced, and therefore, the electronic equipment can divide the power supply into different processing levels according to the influence degree of an abnormal response strategy on the power supply, and the electronic equipment configures corresponding level sequences for the different processing levels, and can sequentially perform abnormal processing on the abnormal battery pack through the corresponding abnormal response strategy based on the level sequences.
Based on this, the electronic device performs the exception processing on the abnormal battery pack through the exception processing policy of the low processing hierarchy first, that is, the initial value of N is a first value, where the first value corresponds to the numerical value of the lowest processing hierarchy, for example, the first value may be 1.
In S2031, the second electrical index parameter of the arbitrary battery pack after the abnormality response processing is monitored.
In this embodiment, after performing an anomaly processing on the abnormal battery through the low-level anomaly processing policy, the electronic device monitors the second electrical index parameter of the abnormal battery pack, and determines whether the abnormal event of the abnormal battery pack has been repaired. If the second electrical index parameter of the abnormal battery pack does not meet the abnormal identification condition, judging whether the second electrical index parameter is in a preset legal parameter range. If the second electrical index parameter is within the legal parameter range, judging that the abnormal condition is repaired, and executing the operation of S204; otherwise, if the second electrical index parameter is out of the legal parameter range and does not meet the abnormality recognition condition, the abnormality response policy is indicated to be effective, but the operation requirement is not met, the abnormality response policy may be executed once again, and the second electrical index parameter of the abnormal battery may be continuously monitored until the second electrical index parameter is in the legal parameter range.
In S2032, if the second electrical index parameter meets the anomaly identification condition, the value of N is increased, and the order of the levels corresponding to the processing levels is returned to be executed, and the anomaly processing is performed on any battery pack through at least one anomaly response policy corresponding to the nth level until the second electrical index parameter is within the legal parameter range.
In this embodiment, if the second electrical index parameter after the exception repair is detected to meet the exception recognition condition, it indicates that the exception response policy of the low processing level is invalid, and further exception processing is required, so that the value of N is increased to execute the exception response policy of the next processing level, and so on, until the second electrical index parameter is within the legal parameter range.
In the embodiment of the application, by setting different processing levels, the abnormal battery pack is sequentially subjected to abnormal processing, and abnormal conditions can be processed step by step, so that the influence of the abnormal processing on the actual operation of the energy storage power plant is reduced.
Fig. 4 is a flowchart showing a specific implementation of a method of battery management at S2021 according to the third embodiment of the present application. Referring to fig. 4, with respect to the embodiment described in fig. 3, in a method for battery management provided in this embodiment, S2021 includes: s401 to S403, specifically, the following details are described:
In S401, if the value of N is the first value, updating at least one operation parameter of any battery pack according to the adjustment amplitude corresponding to any battery pack; the operating parameters include: operating temperature, operating power, connected loop, and equalization mode.
In this embodiment, the multi-level exception response flow includes at least three processing levels. When N is a first value, the electronic device processes the abnormal battery pack through an abnormal response policy of the first processing level, where the abnormal response policy of the first processing level is to adjust an operation parameter of the abnormal battery pack, and includes reducing an operation temperature of the abnormal battery pack, reducing an operation power of the abnormal battery pack, cutting off a loop where the abnormal battery pack is located, and stopping an equalization operation of the abnormal battery pack, that is, changing an equalization mode of the abnormal battery pack, so as to reduce an operation load of the abnormal battery pack, so as to determine whether the abnormal condition is abnormal due to an excessively high load.
In this embodiment, the above-mentioned mode of reducing the operating temperature of the abnormal battery pack may be that, by using a corresponding cooling module, such as a cooling mode of liquid cooling, wind cooling, etc., the temperature of the battery pack in operation is reduced, and because the temperature of the battery pack is too high, the output power of the battery is unstable, and even the condition of fire may occur, etc., so the occurrence probability of the above-mentioned abnormal condition may be reduced by using a physical cooling mode.
In this embodiment, when the battery pack supplies power to the energy storage power plant, the battery pack is configured in a corresponding power supply loop according to the corresponding electrical attribute, and the power supply loop can include a plurality of battery packs, so that when an abnormal situation occurs, the communication loop in which the abnormal battery pack is located can be switched, thereby realizing that the abnormal battery pack is in a rest state, and achieving the purposes of reducing the temperature to a certain extent and reducing the load of the abnormal battery pack so as to repair the abnormal situation.
In this embodiment, since the battery pack includes the retired battery, in order to realize that the power supply loop formed by the plurality of battery packs can stably supply power, the output power among the plurality of battery packs can be kept consistent through corresponding equalization modes, and the load of a part of the battery packs may be improved to a certain extent by the equalization modes, so that when an abnormal situation occurs, the equalization operation may be stopped, that is, the equalization modes may be changed, so as to reduce the load of the abnormal battery pack.
It should be noted that the electronic device may change one of the operation parameters, or may sequentially change a plurality of parameters, specifically, the operation parameter is determined according to the degree of abnormality of the abnormal battery pack, which is not limited herein.
In S402, if the value of N is the second value, determining an abnormal scenario of any battery pack, and eliminating an abnormal event of any battery pack through an emergency response policy process associated with the abnormal scenario.
In this embodiment, if the abnormal condition of the abnormal battery pack cannot be repaired by the abnormal response policy of the first processing level, the electronic device increases the value of N to increase the value of N from the first value to the second value, and the electronic device performs the abnormal repair on the abnormal battery pack by the abnormal response policy of the second processing level. After the electronic device detects the abnormal response strategy passing through the first processing level, the abnormal condition of the abnormal battery pack is upgraded, and the corresponding emergency response strategy is adopted to eliminate the abnormal event. The emergency response strategy includes, but is not limited to: atmosphere control, temperature control, fire extinguishing agent spraying and fire extinguishing agent soaking.
The emergency response strategies adopted in the above-mentioned method also have differences, for example, if part of the battery packs are in abnormal situations of fire, at this time, if the abnormal events cannot be eliminated only by controlling the temperature, so that the fire extinguishing agent needs to be sprayed; if part of the battery packs are in a high-temperature abnormal scene, at the moment, the abnormal repair is carried out in a temperature control mode without directly spraying fire extinguishing agents, so that different emergency response strategies can correspond to different abnormal scenes, the electronic equipment can determine the abnormal scenes of the abnormal battery packs according to the second electrical index parameters, and then, according to the corresponding relation between the abnormal scenes and the emergency response strategies, the corresponding emergency response strategies are adopted for carrying out the abnormal treatment.
In S403, if the value of N is the third value, an associated battery pack affected by the abnormal event of any battery pack is determined, and safety isolation is performed on any battery pack and the associated battery pack.
In this embodiment, if the abnormal situation of the abnormal battery pack is still detected and not eliminated after the abnormal situation of the abnormal battery pack is processed by the abnormal response policy of the second processing level, for example, when the abnormal battery pack is in the abnormal situation, the abnormal situation may be affected by other nearby battery packs, that is, there is a situation that the abnormal situation spreads, in which case, the electronic device may determine the associated battery pack that is responded by the abnormal situation, for example, for the high-voltage battery, the current string (i.e., the battery string where the abnormal battery pack is located) is limited, and for the other batteries (e.g., the battery pack), the low-range battery string may be limited. After the associated battery pack corresponding to the abnormal battery pack is determined, the abnormal battery pack and the associated battery pack can be safely isolated, so that the abnormal condition can be controlled within a specified range.
Illustratively, fig. 5 shows a schematic diagram of a multi-level exception response procedure provided in an embodiment of the present application. Referring to fig. 5, the security management may specifically include the following steps:
S51: and carrying out battery grouping planning according to the battery characteristics of each retired battery to obtain a plurality of battery packs.
S52: after it is determined to group each battery pack, planning of the power supply circuit can be performed.
S53: in the process of supplying power through the battery packs, first electrical index parameters of the battery packs are monitored in real time, abnormal conditions are predicted in real time, and whether abnormal events exist is judged.
S54: when an abnormal event is detected, abnormal processing is performed through an abnormal response strategy of the first processing level, such as derating, cutting off a power loop, stopping equalization action, cooling and the like.
S55: if an exception escalation is detected, i.e., the exception event cannot be eliminated by the last processing level, then exception handling may be performed by an exception response policy of the second processing level, including emergency handling actions including, but not limited to, atmosphere control, temperature control, fire suppression agent spraying, fire suppression agent dipping, and the like.
S56: if the affected associated battery pack exists, safety isolation can be performed in a range limiting mode, and the hazard area is controlled in a smaller range.
S57: if the abnormal event can be eliminated only by using the abnormal response strategies of three processing levels, the abnormal conditions can be summarized.
S58: the utilization planning of the battery pack is adjusted based on the summary content, and grouping of the battery pack is performed again, so that retired batteries can be effectively managed, planning feedback adjustment is performed according to actual conditions, and the accuracy of battery management is improved.
Further, as another embodiment of the present application, after S403, further includes: s404 to S406, specifically described as follows:
in S404, an anomaly analysis report of the anomaly event is acquired.
In this embodiment, when the electronic device needs to perform the exception processing on the battery pack through the exception response policy of the third processing level, it indicates that the exception condition affects not only the exception battery pack but also other battery packs, and in order to reduce the occurrence probability of the exception condition, the electronic device may generate an exception analysis report corresponding to the exception event. The abnormality analysis report records the cause of abnormality of the abnormal battery pack, and then can be summarized by analysis of the abnormality analysis report, and reduces the occurrence probability of the abnormal condition.
In S405, according to the abnormality analysis report, battery grouping information of the any one battery pack is determined.
In S406, if the battery grouping information does not match the original grouping information of any battery pack, the retired battery included in any battery pack is adjusted based on the battery grouping information.
In this embodiment, after determining the cause of the occurrence of the abnormal situation, the electronic device may obtain a battery pack in which the abnormal situation occurs, if detecting that other battery packs of the same battery pack exist in the existing energy storage power plant, the abnormal situation may occur similarly with a high probability, in this case, the other battery packs in which the same battery pack exists may be adjusted, so that corresponding battery grouping information may be generated, and retired batteries included in the battery pack in which the abnormality occurs may be adjusted based on the battery grouping information, and the other battery packs in which the same battery pack exists as the abnormal battery pack may also be adjusted based on the battery grouping information, so that the occurrence probability of the abnormal situation may be greatly reduced, and the rationality of the battery pack in the energy storage power plant may be improved by performing feedback adjustment on the battery grouping information according to the abnormal event.
Fig. 6 shows a flowchart of a specific implementation of a method for battery management provided in the fourth embodiment of the present application before S201. Referring to fig. 6, with respect to the embodiment of any one of fig. 2 to 4, the method for battery management provided in this embodiment further includes, before S201: S601-S605 are described in detail as follows:
in S601, usage information of each of the retired batteries in the battery pack is acquired.
In this embodiment, in order to determine the equalization degree between the retired batteries in the battery pack, when the battery pack can supply power to the energy storage power plant for the retired batteries, it needs to determine whether the equalization degree between different retired batteries in the battery pack is consistent, and in the case that the deviation of the equalization degree is determined to be large, it needs to adjust the grouping information of the retired batteries in the battery pack.
Based on this, in order to determine the degree of equalization of the retired batteries within the battery pack, it is necessary to acquire usage information of the respective retired batteries. The usage information may be a usage record of the retired battery, and the usage record may include information such as a maximum charge amount, a maximum discharge amount, an average charge current, and an average discharge current of the energy storage battery.
In S602, a first battery loss factor of the retired battery is determined based on the usage information.
In this embodiment, the electronic device may determine, according to usage information of each retired battery in the battery pack, a battery health degree of the retired battery, and then compare, according to the battery health degree and an ideal battery state, a first battery loss coefficient of each retired battery that can be calculated.
The first battery loss coefficient may specifically be based on a difference between an ideal battery state and a current battery health level.
In S603, an equalization deviation factor of the battery pack is calculated according to the first battery loss coefficient of each of the retired batteries in the battery pack.
In this embodiment, after determining the first battery loss coefficient corresponding to each retired battery in the battery pack, the electronic device may calculate the equalization deviation factor corresponding to each battery pack, determine whether there is a larger deviation between the retired batteries in the battery pack, that is, whether the performance is similar, so as to determine whether to adjust the retired batteries in the battery pack.
In one possible implementation manner, the calculation manner of the equalization deviation factor may specifically be:
wherein BalanceLv is the equalization bias factor described above; loss (i) is the first battery Loss coefficient of the ith retired battery; lossE is the average loss coefficient of retired batteries in the battery pack; max (Loss (i)) is the maximum Loss coefficient of retired batteries in the battery pack; min (Loss (i)) is the minimum Loss factor of retired cells in the stack.
In one possible implementation, if the equalization deviation factor is less than or equal to a preset equalization deviation threshold, it indicates that the performance between the passing batteries in the battery pack is similar, and no adjustment is required for the battery grouping in the battery pack.
In S604, if the equalization deviation factor is greater than a preset equalization deviation threshold, packet adjustment information about the battery pack is generated.
In S605, at least one of the retired batteries within the battery pack is replaced in response to the grouping adjustment information such that the equalization bias factor of the replaced battery pack is less than the equalization bias threshold.
In this embodiment, if it is detected that the balance deviation factor between the retired batteries in a certain battery pack is greater than the balance deviation threshold, it indicates that the performance deviation between the retired batteries in the battery pack is greater, in this case, the retired batteries with discrete performance may be determined according to the first battery loss coefficient of each retired battery, and grouping adjustment information about the discrete retired batteries may be generated, so as to replace the retired batteries with greater new energy deviation in the battery pack, so that the first battery loss coefficient between the retired batteries in the adjusted battery pack is balanced, that is, the balance deviation factor is less than the balance deviation threshold.
The electronic device may determine, from among the alternative retired batteries, an alternative retired battery having a second battery loss coefficient similar to an average loss coefficient of the battery pack, as a replacement battery for the battery pack.
Further, as another embodiment of the present application, the step S605 may specifically include the following steps:
step 1: if two or more pieces of grouping adjustment information are received, determining discrete retired batteries in the battery packs corresponding to each piece of grouping adjustment information respectively; the difference value between the first battery loss coefficient of the discrete retired battery and the average loss coefficient corresponding to the battery pack is larger than a preset deviation threshold; the bias threshold is determined based on the equalization bias factor.
In this embodiment, if the electronic device detects that there are two or more battery packs to be adjusted, it may determine whether replacement of the retired battery between the battery packs is possible, so that performance balance between the battery packs may be achieved, and the standby retired battery does not need to be additionally supplemented. Based on the above, the electronic device determines that discrete retired batteries with larger performance deviation exist in the group adjustment information of each battery pack.
In this embodiment, since the equalization deviation factors of different battery packs are different, if the equalization deviation factor is larger, the corresponding deviation threshold value is larger; on the contrary, the battery pack with smaller equalization deviation factor has smaller value of the corresponding deviation threshold value, so that the discrete retired battery can be accurately identified.
Step 2: and determining the matching degree between each discrete retired battery and the battery pack based on the average loss coefficient corresponding to each battery pack and the first battery loss coefficient of the discrete retired battery.
In this embodiment, the electronic device may calculate the matching degree between each discrete retired battery and the battery pack to be subjected to group adjustment, and the manner of calculating the matching degree is specifically to calculate the difference between the first battery loss coefficient of the discrete retired battery and the average loss coefficient of the battery pack. If the difference value between the two is smaller, the corresponding matching degree is higher; otherwise, if the difference between the two is larger, the corresponding matching degree is lower.
Step 3: and if the matching degree between any discrete retired battery and the battery pack is larger than a preset matching threshold value, taking the discrete retired battery as a target substitute battery of the battery pack.
In this embodiment, by calculating the matching degree between each discrete retired battery and the battery pack to be adjusted, the discrete retired battery with performance similar to that of other battery packs to be adjusted can be identified and used as the target replacement battery of the battery pack, so that the replacement of the retired battery among the battery packs is realized, the utilization efficiency of the retired battery is improved, and the battery adjustment range of the energy storage power plant is reduced.
Fig. 7 shows a flowchart of a specific implementation of a method for battery management according to the fifth embodiment of the present application after S202. Referring to fig. 7, with respect to the embodiment of any one of fig. 2 to 4, in the method for battery management provided in this embodiment, after S202, the method further includes: S701-S702 are specifically described as follows:
in S701, if the second electrical index parameter of any battery pack is outside the legal parameter range after the exception processing of all the processing levels, determining a second battery loss of each retired battery in any battery pack;
in S702, a rejected battery is identified from the retired battery based on the second battery loss.
In this embodiment, after the electronic device performs the exception processing on the abnormal battery pack through all the processing levels in the multi-level exception response flow, the abnormal situation cannot be eliminated, that is, the abnormal battery exists in the battery pack, so that the second battery loss coefficient of each retired battery in the battery pack is calculated, and thus, the retired battery with the second battery loss coefficient greater than the preset discard threshold is selected as the discard battery, and other retired batteries are replenished for the battery pack.
In this embodiment, fig. 8 is a block diagram of a battery management device according to an embodiment of the present application, where the battery management device includes units for executing steps implemented by the generating device in the corresponding embodiment of fig. 1. Please refer to fig. 1 and the related description of the embodiment corresponding to fig. 1. For convenience of explanation, only the portions related to the present embodiment are shown.
Referring to fig. 8, the apparatus for battery management is applied to an energy storage power plant including a plurality of battery packs configured with retired batteries; the battery management apparatus includes:
a first electrical index parameter monitoring unit 81, configured to monitor a first electrical index parameter of each battery pack during a power supply process of the energy storage power plant;
an anomaly processing unit 82, configured to perform anomaly processing on any battery pack through a multi-level anomaly response procedure if it is detected that the first electrical index parameter of the any battery pack meets an anomaly identification condition associated with the battery pack; the multi-level exception response flow includes a plurality of processing levels; each processing hierarchy contains at least one exception response policy;
a second electrical index parameter obtaining unit 83, configured to obtain a second electrical index parameter of the any battery pack after the abnormality processing;
And the abnormality repairing unit 84 is configured to continue to supply power to the energy storage power plant through the any battery pack if the second electrical index parameter is within the legal parameter range corresponding to the any battery pack.
It should be understood that, in the block diagram of the battery management apparatus shown in fig. 8, each module is configured to perform each step in the embodiments corresponding to fig. 1 to 7, and each step in the embodiments corresponding to fig. 1 to 7 has been explained in detail in the foregoing embodiments, and specific reference is made to fig. 1 to 7 and related descriptions in the embodiments corresponding to fig. 1 to 7, which are not repeated herein.
Fig. 9 is a block diagram of an electronic device according to another embodiment of the present application. As shown in fig. 9, the electronic device 900 of this embodiment includes: a processor 910, a memory 920, and a computer program 930 stored in the memory 920 and executable on the processor 910, for example, a program for evaluating a method of generating a report. The steps in the embodiments of the method for battery management described above, such as S201 to S204 shown in fig. 2, are implemented when the processor 910 executes the computer program 930. Alternatively, the processor 910 may implement the functions of the modules in the embodiment corresponding to fig. 9, for example, the functions of the units 81 to 84 shown in fig. 8 when executing the computer program 930, and refer to the related description in the embodiment corresponding to fig. 8.
By way of example, the computer program 930 may be partitioned into one or more modules, which are stored in the memory 920 and executed by the processor 910 to complete the present application. One or more of the modules may be a series of computer program instruction segments capable of performing particular functions to describe the execution of the computer program 930 in the electronic device 900. For example, the computer program 930 may be divided into individual unit modules, each of which functions specifically as above.
Electronic device 900 may include, but is not limited to, processor 910, memory 920. It will be appreciated by those skilled in the art that fig. 9 is merely an example of an electronic device 900 and is not intended to limit the electronic device 900, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., an electronic device may also include an input-output device, a network access device, a bus, etc.
The processor 910 may be a central processing unit, or may be another general purpose processor, digital signal processor, application specific integrated circuit, off-the-shelf programmable gate array, or other programmable logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or any conventional processor or the like.
The memory 920 may be an internal storage unit of the electronic device 900, such as a hard disk or a memory of the electronic device 900. The memory 920 may also be an external storage device of the electronic device 900, such as a plug-in hard disk, a smart memory card, a flash memory card, etc. provided on the electronic device 900. Further, the memory 920 may also include both internal storage units and external storage devices of the electronic device 900.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.

Claims (7)

1. A method of battery management, characterized by being applied to an energy storage power plant comprising a plurality of battery packs configured with retired batteries; the battery management method comprises the following steps:
Monitoring a first electrical index parameter of each battery pack in the process of supplying power to the energy storage power plant;
if the first electrical index parameter of any battery pack is detected to meet the abnormality identification condition associated with the battery pack, performing abnormality processing on the any battery pack through a multi-level abnormality response flow; the multi-level exception response flow includes a plurality of processing levels; each processing hierarchy contains at least one exception response policy;
acquiring a second electrical index parameter of any battery pack after the abnormality processing;
if the second electrical index parameter is in the legal parameter range corresponding to any battery pack, continuing to supply power to the energy storage power plant through any battery pack;
if the first electrical index parameter of any battery pack is detected to meet the abnormality identification condition associated with the battery pack, performing abnormality processing on the any battery pack through a multi-level abnormality response flow, including:
performing exception processing on any battery pack through at least one exception response strategy corresponding to an Nth hierarchy based on the hierarchy order corresponding to each processing hierarchy; the initial value of N is a first value;
The obtaining the second electrical index parameter of the battery pack after the exception handling includes:
monitoring the second electrical index parameter of any battery pack after the abnormal response processing;
if the second electrical index parameter meets the abnormality identification condition, increasing the value of N, and returning to execute abnormality processing on any battery pack through at least one abnormality response strategy corresponding to the Nth level until the second electrical index parameter is within the legal parameter range;
before the monitoring of the first electrical index parameter of each battery pack in the process of supplying power to the energy storage power plant, the method further comprises:
respectively acquiring the use information of each retired battery in the battery pack;
determining a first battery loss factor for the retired battery based on the usage information;
calculating an equalization deviation factor of the battery pack according to the first battery loss coefficient of each retired battery in the battery pack;
if the balance deviation factor is larger than a preset balance deviation threshold value, grouping adjustment information about the battery pack is generated;
replacing at least one of the retired batteries within the battery pack in response to the grouping adjustment information such that the equalization bias factor of the replaced battery pack is less than the equalization bias threshold; the equalization deviation factor is specifically:
Wherein BalanceLv is the equalization bias factor described above; loss (i) is the first battery Loss coefficient of the ith retired battery; lossE is the average loss coefficient of retired batteries in the battery pack; max (Loss (i)) is the maximum Loss coefficient of retired batteries in the battery pack; min (Loss (i)) is the minimum Loss coefficient of retired batteries in the battery pack;
the replacing at least one of the retired batteries within the battery pack in response to the grouping adjustment information comprises:
if two or more pieces of grouping adjustment information are received, determining discrete retired batteries in the battery packs corresponding to each piece of grouping adjustment information respectively; the difference value between the first battery loss coefficient of the discrete retired battery and the average loss coefficient corresponding to the battery pack is larger than a preset deviation threshold; the bias threshold is determined based on the equalization bias factor; the discrete retired battery is: when two or more battery packs needing to be adjusted exist, in the battery packs needing to be adjusted, the difference value between the first battery loss coefficient and the average loss coefficient corresponding to the battery packs is larger than a preset deviation threshold value;
Determining a degree of matching between each discrete retired battery and the battery pack based on the average loss coefficient corresponding to each battery pack and the first battery loss coefficient of the discrete retired battery;
and if the matching degree between any discrete retired battery and the battery pack is larger than a preset matching threshold value, taking the discrete retired battery as a target substitute battery of the battery pack.
2. The method according to claim 1, wherein the performing exception handling on the any battery pack by the exception response policy corresponding to an nth hierarchy based on the hierarchy order corresponding to each of the processing hierarchies includes:
if the value of N is the first value, updating at least one operation parameter of any battery pack according to the corresponding adjustment amplitude of any battery pack; the operating parameters include: operating temperature, operating power, connected loop, and equalization mode;
if the value of N is a second value, determining an abnormal scene of any battery pack, and eliminating the abnormal event of any battery pack through emergency response strategy processing associated with the abnormal scene;
If the value of N is a third value, determining an associated battery pack influenced by the abnormal event of any battery pack, and carrying out safety isolation on any battery pack and the associated battery pack;
the first value is less than the second value, and the second value is less than the third value.
3. The method of claim 2, wherein after determining the associated battery pack affected by the abnormal event of the any battery pack if the value of N is the third value, further comprising:
acquiring an anomaly analysis report of the anomaly event;
determining battery grouping information of any battery pack according to the abnormality analysis report;
and if the battery grouping information of any battery pack is consistent with the grouping information of other battery packs, adjusting the retired batteries contained in any battery pack and the other battery packs based on the battery grouping information.
4. A method according to any one of claims 1-3, further comprising, after said obtaining a second electrical index parameter for said any one of the battery packs after said exception handling:
If the second electrical index parameter of any battery pack is out of the legal parameter range after the exception processing of all the processing levels, respectively determining the second battery loss of each retired battery in any battery pack;
and identifying a scrapped battery from the retired batteries based on the second battery loss.
5. A battery management device, characterized by being applied to an energy storage power plant, the energy storage power plant comprising a plurality of battery packs configured with retired batteries; the battery management apparatus includes:
the first electrical index parameter monitoring unit is used for monitoring first electrical index parameters of each battery pack in the process of supplying power to the energy storage power plant;
the abnormality processing unit is used for carrying out abnormality processing on any battery pack through a multi-level abnormality response flow if the first electrical index parameter of any battery pack is detected to meet the abnormality identification condition associated with the battery pack; the multi-level exception response flow includes a plurality of processing levels; each processing hierarchy contains at least one exception response policy;
a second electrical index parameter obtaining unit, configured to obtain a second electrical index parameter of the any battery pack after the abnormality processing;
The abnormality repairing unit is used for continuously supplying power to the energy storage power plant through any battery pack if the second electrical index parameter is in the legal parameter range corresponding to any battery pack;
the exception handling unit is further configured to:
performing exception processing on any battery pack through at least one exception response strategy corresponding to an Nth hierarchy based on the hierarchy order corresponding to each processing hierarchy; the initial value of N is a first value;
the second electrical index parameter obtaining unit is further configured to:
monitoring the second electrical index parameter of any battery pack after the abnormal response processing;
if the second electrical index parameter meets the abnormality identification condition, increasing the value of N, and returning to execute abnormality processing on any battery pack through at least one abnormality response strategy corresponding to the Nth level until the second electrical index parameter is within the legal parameter range;
the battery management apparatus is further configured to:
respectively acquiring the use information of each retired battery in the battery pack;
determining a first battery loss factor for the retired battery based on the usage information;
Calculating an equalization deviation factor of the battery pack according to the first battery loss coefficient of each retired battery in the battery pack;
if the balance deviation factor is larger than a preset balance deviation threshold value, grouping adjustment information about the battery pack is generated;
replacing at least one of the retired batteries within the battery pack in response to the grouping adjustment information such that the equalization bias factor of the replaced battery pack is less than the equalization bias threshold; the bias threshold is determined based on the equalization bias factor; the equalization deviation factor is specifically:
wherein BalanceLv is the equalization bias factor described above; loss (i) is the first battery Loss coefficient of the ith retired battery; lossE is the average loss coefficient of retired batteries in the battery pack; max (Loss (i)) is the maximum Loss coefficient of retired batteries in the battery pack; min (Loss (i)) is the minimum Loss coefficient of retired batteries in the battery pack;
the replacing at least one of the retired batteries within the battery pack in response to the grouping adjustment information comprises:
if two or more pieces of grouping adjustment information are received, determining discrete retired batteries in the battery packs corresponding to each piece of grouping adjustment information respectively; the difference value between the first battery loss coefficient of the discrete retired battery and the average loss coefficient corresponding to the battery pack is larger than a preset deviation threshold; the discrete retired battery is: when two or more battery packs needing to be adjusted exist, in the battery packs needing to be adjusted, the difference value between the first battery loss coefficient and the average loss coefficient corresponding to the battery packs is larger than a preset deviation threshold value;
Determining a degree of matching between each discrete retired battery and the battery pack based on the average loss coefficient corresponding to each battery pack and the first battery loss coefficient of the discrete retired battery;
and if the matching degree between any discrete retired battery and the battery pack is larger than a preset matching threshold value, taking the discrete retired battery as a target substitute battery of the battery pack.
6. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when executing the computer program.
7. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method according to any one of claims 1 to 4.
CN202311361970.XA 2023-10-20 2023-10-20 Battery management method, device, electronic equipment and storage medium Active CN117276706B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311361970.XA CN117276706B (en) 2023-10-20 2023-10-20 Battery management method, device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311361970.XA CN117276706B (en) 2023-10-20 2023-10-20 Battery management method, device, electronic equipment and storage medium

Publications (2)

Publication Number Publication Date
CN117276706A CN117276706A (en) 2023-12-22
CN117276706B true CN117276706B (en) 2024-02-20

Family

ID=89210517

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311361970.XA Active CN117276706B (en) 2023-10-20 2023-10-20 Battery management method, device, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN117276706B (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103770651A (en) * 2014-01-21 2014-05-07 国家电网公司 Vehicle emergency early-warning rescuing system and method
CN110401189A (en) * 2019-07-24 2019-11-01 华翔翔能电气股份有限公司 The layering grouping collaboration Optimization Scheduling of retired power battery group
CN111816936A (en) * 2020-06-28 2020-10-23 珠海中力新能源科技有限公司 Battery echelon utilization grouping method and system, terminal equipment and storage medium
KR102176097B1 (en) * 2020-05-07 2020-11-10 김태균 Energy storage system with colling apparatus
WO2021089062A1 (en) * 2019-11-05 2021-05-14 奥动新能源汽车科技有限公司 Method and system for managing life cycle of quick-change electric car battery pack, method and system for acquiring battery health, device, and readable storage medium
WO2021142598A1 (en) * 2020-01-13 2021-07-22 深圳市大疆创新科技有限公司 Battery protection method, system, movable platform, battery, and storage medium
WO2021142597A1 (en) * 2020-01-13 2021-07-22 深圳市大疆创新科技有限公司 Battery control method and device, and storage medium
CN114267907A (en) * 2021-12-24 2022-04-01 华北电力大学 Thermal safety management system for battery energy storage, control method and application thereof
WO2022244572A1 (en) * 2021-05-21 2022-11-24 株式会社日立製作所 Storage battery system, rail car provided therewith, and abnormal cell detection method
CN116666799A (en) * 2023-05-18 2023-08-29 合肥工业大学 Retired battery reorganization method and system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102645676B1 (en) * 2018-12-10 2024-03-11 삼성전자주식회사 Electronic device and method for adjusting charge cycle or discharge cycle of battery

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103770651A (en) * 2014-01-21 2014-05-07 国家电网公司 Vehicle emergency early-warning rescuing system and method
CN110401189A (en) * 2019-07-24 2019-11-01 华翔翔能电气股份有限公司 The layering grouping collaboration Optimization Scheduling of retired power battery group
WO2021089062A1 (en) * 2019-11-05 2021-05-14 奥动新能源汽车科技有限公司 Method and system for managing life cycle of quick-change electric car battery pack, method and system for acquiring battery health, device, and readable storage medium
WO2021142598A1 (en) * 2020-01-13 2021-07-22 深圳市大疆创新科技有限公司 Battery protection method, system, movable platform, battery, and storage medium
WO2021142597A1 (en) * 2020-01-13 2021-07-22 深圳市大疆创新科技有限公司 Battery control method and device, and storage medium
KR102176097B1 (en) * 2020-05-07 2020-11-10 김태균 Energy storage system with colling apparatus
CN111816936A (en) * 2020-06-28 2020-10-23 珠海中力新能源科技有限公司 Battery echelon utilization grouping method and system, terminal equipment and storage medium
WO2022244572A1 (en) * 2021-05-21 2022-11-24 株式会社日立製作所 Storage battery system, rail car provided therewith, and abnormal cell detection method
CN114267907A (en) * 2021-12-24 2022-04-01 华北电力大学 Thermal safety management system for battery energy storage, control method and application thereof
CN116666799A (en) * 2023-05-18 2023-08-29 合肥工业大学 Retired battery reorganization method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
锂离子动力电池梯次利用的研究与应用进展;来文青;王永红;石海鹏;燕思潼;张倩然;;广州化工;20201008(第19期);全文 *

Also Published As

Publication number Publication date
CN117276706A (en) 2023-12-22

Similar Documents

Publication Publication Date Title
US10547184B2 (en) System and method for battery management
CN106796267B (en) Storage battery evaluation device, storage battery system, and storage battery evaluation method
EP3211750B1 (en) Method and system for dynamically adjusting battery undervoltage protection
US9711976B2 (en) Lead storage battery system
CN107748331B (en) Method for checking reliability of battery
US20230049423A1 (en) Method for controlling battery power limit value
CN109634398A (en) A kind of BBU Fault Management System, BBU and storage equipment
Sheu et al. Extended optimal replacement policy for a two-unit system with shock damage interaction
CN116885766A (en) Control method and system for grid-connected operation of distributed power supply
CN109005152B (en) Method and system for evaluating attack hazards of source-network-load system
CN117276706B (en) Battery management method, device, electronic equipment and storage medium
KR20220060931A (en) Apparatus and method for managing battery
CN110503272B (en) Short-circuit-limiting current auxiliary decision-making method and system meeting safety and stability requirements
CN112531750A (en) Energy storage device management system, method and device
KR101736717B1 (en) Energy storage apparatus and method for controlling therof
KR20170108578A (en) A method of controlling an Energy Storage system with Peak-Cut Mode operation, and an apparatus thereof
CN108599384A (en) Energy storage multi-cabinet management method, device and system
CN116053618A (en) Energy storage management system, control method and battery energy storage device
Bouchhima et al. Fundamental aspects of reconfigurable batteries: Efficiency enhancement and lifetime extension
CN114189017B (en) Battery temperature control method and device, electronic equipment and storage medium
CN117096475B (en) Battery pack management method and device, electronic equipment and storage medium
KR102529435B1 (en) Monitoring apparatus for monitoring battery equipment
CN113451671A (en) Charging method of standby battery module and electronic device
JP7293145B2 (en) MONITORING CONTROL DEVICE, STORAGE BATTERY SYSTEM AND METHOD
CN114123373B (en) Method and device for managing backup power supply of edge computer room

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant