CN116598611A - Distributed battery pack management method, system, storage medium and electronic equipment - Google Patents

Distributed battery pack management method, system, storage medium and electronic equipment Download PDF

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Publication number
CN116598611A
CN116598611A CN202310539966.1A CN202310539966A CN116598611A CN 116598611 A CN116598611 A CN 116598611A CN 202310539966 A CN202310539966 A CN 202310539966A CN 116598611 A CN116598611 A CN 116598611A
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China
Prior art keywords
battery pack
liveness
battery
event
activity
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於治宇
舒连辉
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Libo New Energy Shenzhen Co ltd
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Libo New Energy Shenzhen Co ltd
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Priority to CN202310539966.1A priority Critical patent/CN116598611A/en
Publication of CN116598611A publication Critical patent/CN116598611A/en
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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
    • H01M10/4207—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]
    • G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
    • 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
    • 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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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The application provides a distributed battery pack management method, a distributed battery pack management system, a storage medium and electronic equipment, and relates to the field of battery management. The method comprises the following steps: acquiring a historical operation record of each battery pack in a preset time period, and identifying active events in the historical operation record; respectively calculating the liveness scores corresponding to the liveness events of the battery packs; dividing each battery pack into a first battery pack and a second battery pack based on the liveness score, wherein the first battery pack is a battery pack with the liveness score being greater than or equal to a set threshold value, and the second battery pack is a battery pack with the liveness score being less than the set threshold value; the first battery pack is monitored in real time, and the second battery pack is monitored at fixed intervals. The management data volume of the relatively inactive battery packs can be reduced, and the data processing pressure of the distributed battery management system can be reduced, so that the monitoring load of the distributed battery management system on a plurality of battery packs can be reduced.

Description

Distributed battery pack management method, system, storage medium and electronic equipment
Technical Field
The present application relates to the field of battery management, and in particular, to a method and system for managing a distributed battery pack, a storage medium, and an electronic device.
Background
A battery management system (Battery Management System, BMS) is a system for monitoring the operation state of a battery pack, which may be formed by arranging a plurality of battery cells (cells) according to the amount of power required for an electronic device. The states of the battery pack, such as charging and discharging, input/output voltage and current, all need to be precisely monitored and measured so as to ensure safe power supply of the electronic equipment.
In the management mode of the traditional battery management system, whether the operation state of the battery is abnormal is calculated by monitoring the electrical parameter or the operation parameter of each battery in real time, so that a decision is made whether to start a corresponding protection system to realize the treatment of the abnormality. However, as the number of battery management increases, the amount of data that needs to be processed and calculated increases, resulting in an increased monitoring load of the conventional battery management system.
Disclosure of Invention
The application provides a distributed battery pack management method, a system, a storage medium and electronic equipment, wherein each battery pack is divided based on an activity score according to the historical operation condition of each battery pack, and the monitoring mode of the battery pack with lower activity is changed into interval fixed duration monitoring, so that the monitoring load of the distributed battery management system can be reduced.
In a first aspect, the present application provides a distributed battery management method, the method comprising:
acquiring a historical operation record of each battery pack in a preset time period, and identifying an active event in the historical operation record;
respectively calculating the liveness scores corresponding to the liveness events of the battery packs;
dividing each battery pack into a first battery pack and a second battery pack based on the liveness score, wherein the first battery pack is a battery pack with the liveness score being greater than or equal to a set threshold value, and the second battery pack is a battery pack with the liveness score being less than the set threshold value;
and monitoring the first battery pack in real time, and monitoring the interval fixed time length of the second battery pack.
By adopting the technical scheme, the active events in the historical operation records of each battery pack in the preset time period are identified, each battery pack is divided through the calculated activity score, the battery packs with the activity score smaller than the set threshold value are monitored at fixed intervals, the management data quantity of the battery packs which are relatively inactive can be reduced, the data processing pressure of the distributed battery management system is reduced, and therefore the monitoring load of the distributed battery management system on a plurality of battery packs is reduced.
Optionally, the activity event includes a state activity event and an environmental activity event of the battery pack, and the calculating the activity score corresponding to the activity event of each battery pack includes:
calculating a first liveness score corresponding to the state liveness event of each battery pack, and calculating a second liveness score corresponding to the environment liveness event of each battery pack;
and summing the first liveness scores and the second liveness scores to obtain liveness scores corresponding to the liveness events of the battery packs.
By adopting the technical scheme, the monitoring object of the distributed battery management system comprises the running state of the battery pack and the environmental condition of the battery pack, and the accuracy and feasibility of the liveness score can be improved by calculating the running conditions of the two batteries.
Optionally, the calculating a first liveness score corresponding to the state liveness event of each battery pack includes:
acquiring a first weight corresponding to the occurrence times of the state active events of each battery pack and a second weight corresponding to the duration time of the state active events of each battery pack, and carrying out weighted summation on the occurrence times and the duration time of the state active events based on the first weight and the second weight to obtain a first liveness score of the state active events corresponding to each battery pack.
By adopting the technical scheme, the workload of dividing the battery pack through the activity scores in the follow-up can be reduced by identifying the same type of multiple state active events and obtaining the first activity scores according to the occurrence times and the duration.
Optionally, the step of performing weighted summation on the occurrence times and duration of the state active events based on the first weight and the second weight to obtain first activity scores corresponding to the battery packs includes:
based on the first weight and the second weight, carrying out weighted summation on the occurrence times and duration time of the state active events by using a state activity formula to obtain first activity scores corresponding to the battery packs;
the state liveness formula is as follows:
m_a=∑_(i=1)^n▒X i+Yj；
wherein m_a is a first liveness score corresponding to the a-th battery pack;
x is a first weight corresponding to the occurrence times of the state active events;
and Y is a second weight corresponding to the duration of the state active event.
By adopting the technical scheme, the weighting summation is carried out on the multiple state active events of the same type, the first weight and the second weight of the state active events of the same type are the same, the first weight and the second weight of the state active events of different states are different, and the first activity scores corresponding to the state active events of each battery pack can be accurately calculated according to the active conditions of the state active events of different states.
Optionally, the state active event includes a charge-discharge event and a self-discharge event.
By adopting the technical scheme, the state activity event of the monitoring requirement of the battery pack can be judged from the charge and discharge event of each battery pack and the self-discharge event of each battery pack in the preset time period.
Optionally, the identifying the active event in the historical operation record includes:
judging whether the ambient temperature of each battery pack in a preset time period is greater than or equal to a preset temperature threshold value;
and determining the event that the ambient temperature of each battery pack in a preset time period is greater than or equal to a preset temperature threshold as an ambient active event, and recording the occurrence times and duration of the ambient active event.
By adopting the technical scheme, the environmental activity event of the battery pack is judged according to the environmental temperature variation, and the environmental activity event of the temperature variation requirement can be accurately judged.
Optionally, before the monitoring of the second battery pack interval fixed duration, the method further includes:
and respectively determining the fixed time length corresponding to the second battery pack based on the activity score corresponding to the second battery pack.
By adopting the technical scheme, the fixed time length for interval monitoring of each second battery pack can be determined according to the liveness score, and the accuracy of the control of the second battery pack monitoring time length can be improved.
In a second aspect, a distributed battery management system, wherein the system comprises:
the system comprises an active event identification module, a storage module and a storage module, wherein the active event identification module is used for acquiring historical operation records of each battery pack in a preset time period and identifying active events in the historical operation records;
the activity score calculating module is used for calculating activity scores corresponding to the active events of the battery packs respectively;
the battery pack dividing module is used for dividing each battery pack into a first battery pack and a second battery pack based on the liveness score, wherein the first battery pack is a battery pack with the liveness score larger than or equal to a set threshold value, and the second battery pack is a battery pack with the liveness score smaller than the set threshold value;
and the monitoring module is used for monitoring the first battery pack in real time and monitoring the interval fixed time length of the second battery pack. In a third aspect, the present application provides a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the method of any one of the preceding claims.
In a fourth aspect, the present application provides an electronic device comprising a processor, a memory for storing instructions, and a transceiver for communicating with other devices, the processor for executing instructions stored in the memory to cause the electronic device to perform any one of the methods described above.
In summary, one or more technical solutions provided in the embodiments of the present application have the following technical effects or advantages:
the method comprises the steps of identifying active events in historical operation records of each battery pack in a preset time period, dividing each battery pack through calculated activity scores, and monitoring the battery packs with activity scores smaller than a set threshold value for a fixed time period at intervals, so that management data quantity of the battery packs which are relatively inactive can be reduced, data processing pressure of a distributed battery management system is reduced, and monitoring load of the distributed battery management system on a plurality of battery packs is reduced.
Drawings
Fig. 1 is a schematic flow chart of a distributed battery management method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a distributed battery management system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to the disclosure.
Reference numerals illustrate: 201. an active event identification module; 202. an liveness score calculation module; 203. a battery pack dividing module; 204. a monitoring module; 300. an electronic device; 301. a processor; 302. a communication bus; 303. a user interface; 304. a network interface; 305. a memory.
Detailed Description
In order that those skilled in the art will better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments.
In describing embodiments of the present application, words such as "for example" or "for example" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "such as" or "for example" in embodiments of the application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of embodiments of the application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The application scene of the embodiment of the application is a distributed battery pack management system, the running environment and the charge and discharge conditions of each battery pack are different, each battery pack is provided with a management module, and the upper computer controls the corresponding management module to manage the corresponding battery pack according to the actual condition of the battery pack so as to ensure the normal running of each battery pack.
In the distributed battery pack management system in the prior art, a plurality of battery packs need to be monitored and processed at the same time, as the number of the battery packs needing to be managed increases, the data of each battery pack acquired in real time also increases, and the monitoring pressure of an upper computer of the management system increases.
Based on the above problems, according to the embodiment of the application, by calculating the liveness score corresponding to the liveness time of each battery pack, each battery pack is divided into the first active battery pack and the second inactive battery pack, and the data of the second battery pack are monitored and processed at intervals corresponding to fixed time periods, so that the monitoring pressure of the distributed management system can be relieved to a certain extent.
It should be noted that, the distributed battery management system according to the embodiment of the present application includes at least one second battery, that is, monitors at least one battery interval for a fixed period of time.
Referring to fig. 1, a flow chart of a distributed battery management method according to an embodiment of the present application is provided, and the method may be implemented by a computer program, may be implemented by a single chip microcomputer, or may be run on a distributed battery management system based on von neumann system. The computer program may be integrated in the application or may run as a stand-alone tool class application. The embodiment of the application takes a controller of a magnetic encoder as an example, and describes specific steps of a distributed battery pack management method in detail.
S101, acquiring a historical operation record of each battery pack in a preset time period, and identifying active events in the historical operation record.
The historical operation records are charge and discharge records of each battery pack, idle standby records and text data of each monitoring data of the battery pack.
Specifically, the active events include a state active event of the battery pack and an environmental active event. The state active event specifically includes a charge-discharge event and a self-discharge event. The charging and discharging event refers to a charging and discharging operation performed by the battery pack within a preset period of time, that is, charging charge to the battery pack or discharging electric energy from the battery pack can be regarded as a charging and discharging operation. The self-discharge event refers to the energy loss condition of the battery pack in the state of charge, and the identification of the self-discharge event is determined according to the energy loss condition of the battery pack. The environmental activity event is an environmental temperature change of the battery pack, and when the environmental temperature change is large, the performance of the battery pack can be changed greatly along with the environmental temperature change, so that the necessity of monitoring the battery pack with the large environmental temperature change is high.
In an alternative embodiment, whether the ambient temperature variation of each battery pack in a preset time period is greater than or equal to a preset temperature threshold is judged; and determining the event that the environmental temperature variation of each battery pack in a preset time period is greater than or equal to a preset temperature threshold as an environmental active event, and recording the occurrence times and duration of the environmental active event.
The judgment condition of the environmental activity event is determined as the change amount of the environmental temperature instead of the environment being higher or lower than a certain specific temperature value, and whether the battery pack has the monitoring requirement in a subsequent period of time can be known by judging the change amount of the environmental temperature of each battery pack in a preset period of time due to the fact that the difference exists between the environmental environments of each battery pack in the distributed battery pack management system and whether the temperature of each battery pack is required to be monitored is required to be defined.
The active events in the historical records are identified and used as the basis for judging the active conditions of each battery pack in a preset time period, so that the management resource occupation of the battery packs with low activity is reduced, and the monitoring pressure of the distributed battery pack management system is reduced.
S102, respectively calculating the liveness scores corresponding to the liveness events of the battery packs.
The liveness score is calculated according to the liveness event of each battery pack, reflects the change of the monitoring condition of the battery pack in a preset time period, namely, for the monitored demand degree, each battery pack corresponds to a specific liveness score, and whether each battery pack is necessary to be monitored in a subsequent period of time can be judged through the liveness score. The higher the liveness score, the more the battery needs to be monitored, while the battery with relatively lower liveness may not need to be monitored at any time during a subsequent period of time.
In one embodiment, a first liveness score corresponding to a state liveness event of each battery pack is calculated, and a second liveness score corresponding to an environment liveness event of each battery pack is calculated; and summing the first liveness scores and the second liveness scores to obtain liveness scores corresponding to the liveness events of the battery packs.
The state active event and the environment active event respectively correspond to the first activity score and the second activity score, and the activity scores of the state active event and the environment active event are calculated respectively, so that the complexity of activity calculation can be reduced.
Specifically, the step of calculating the first liveness score corresponding to the state liveness event of each battery pack is as follows:
acquiring a first weight corresponding to the occurrence times of the state active events of each battery pack and a second weight corresponding to the duration time of the state active events of each battery pack, and carrying out weighted summation on the occurrence times and the duration time of the state active events based on the first weight and the second weight to obtain a first liveness score corresponding to the state active events of each battery pack.
In order to accurately obtain an accurate first liveness score, the occurrence times and the duration are two important parameters of the quantized state active event, the influence of the occurrence times and the duration on the first liveness score is balanced by corresponding first weights and second weights, and meanwhile, the occurrence times and the duration are two different types of data, and the weighting processing is needed for obtaining the unified first liveness score.
And carrying out weighted summation on the occurrence times and duration time of the state activity events by using a state activity formula, wherein the corresponding state activity formula is as follows:
m_a=∑_(i=1)^n▒X i+Yj；
wherein m_a is a first liveness score corresponding to the a-th battery pack;
x is a first weight corresponding to the occurrence times of the state active events;
y is a second weight corresponding to the duration of the state active event.
For example, the number of times of charging and discharging a certain battery pack in a preset period of time is 3, the duration of 3 times is 1, 2, and 3 minutes, respectively, and no self-discharging condition exists, then the corresponding first activity score of the battery pack is 6x+6y, that is, the more the number of times of occurrence, the larger the increment of the value of the first activity is, and the higher the activity is reflected.
In one possible embodiment, the second liveness score may be calculated in the same manner, and since the temperature change of the environmental active event is compared with the state active event of charge and discharge, multiple repeated changes do not occur within a preset period of time, the weight of the occurrence times and the duration is slightly different from the weight of the state active event.
And after calculating a first liveness score corresponding to the state liveness event of the battery pack and a second liveness score corresponding to the environment liveness event, summing the first liveness score and the second liveness score to obtain liveness scores corresponding to the liveness events of the battery packs.
S103, dividing each battery pack into a first battery pack and a second battery pack based on the liveness score, wherein the first battery pack is a battery pack with the liveness score being greater than or equal to a set threshold value, and the second battery pack is a battery pack with the liveness score being less than the set threshold value;
and dividing each battery pack in the distributed battery pack management system by judging whether the liveness score of each battery pack is larger than a set threshold value, wherein the battery pack with the liveness score larger than or equal to the set threshold value is determined to be a first battery pack, and the battery pack with the liveness score smaller than the set threshold value is determined to be a second battery pack. The set threshold may be a fixed value determined based on the operating conditions of the distributed battery management system, or may be determined based on the specific distribution of the activity scores of the individual battery packs.
S104, monitoring the first battery pack in real time and monitoring the interval fixed time length of the second battery pack.
After the first battery pack and the second battery pack are divided, the first battery pack is active in the distributed battery management system, so that the running state and the running condition of the first battery pack need to be monitored in real time, that is, the first battery pack is charged and discharged more frequently than the second battery pack, or the self-discharging degree of the first battery pack is more serious than the second battery pack, or the environment of the first battery pack in a preset time period changes more, and the first battery pack needs to be monitored at any time. The monitored data includes, but is not limited to, voltage, current, remaining charge, average temperature, cell equilibrium state, etc. of the battery pack.
Compared with the first battery pack, the second battery pack has lower liveness score, namely the second battery pack has fewer charge and discharge times, lower self-discharge degree and lower change amount of environmental temperature in the preset time period, and various data of the second battery pack are monitored in real time, so that monitoring resources can be wasted, real-time monitoring of the second battery pack is not needed, and the calculated data collection amount and the occupation of monitoring resources can be reduced.
By adopting interval fixed time length monitoring, various sensing monitoring data of the second battery pack can be acquired at intervals of fixed time length; or the communication part of the second battery pack side sends all the sensing monitoring data of the second battery pack to the upper computer of the distributed battery pack management system at fixed intervals, so that the upper computer carries out corresponding processing when receiving all the sensing monitoring data of the second battery pack; and the upper computer of the distributed battery pack management system can also sample and process the monitoring data of the second battery pack at fixed intervals so as to reduce the monitoring of the second battery pack at fixed intervals.
In an alternative embodiment, the fixed time periods corresponding to the second battery packs are respectively determined based on the activity scores corresponding to the second battery packs.
The lower the corresponding liveness score of the battery pack in the second battery pack, the more the battery pack is considered to be stationary, and the smaller the variation in the same preset time period is, so that the fixed duration can be determined based on the liveness score.
The following are system embodiments of the present application that may be used to perform method embodiments of the present application. For details not disclosed in the system embodiments of the present application, please refer to the method embodiments of the present application.
Referring to fig. 2, a schematic diagram of a distributed battery management system according to an exemplary embodiment of the present application is shown. The system may be implemented as all or part of a system by software, hardware, or a combination of both. The system includes an activity event identification module 201, an activity score calculation module 202, a battery pack partitioning module 203, and a monitoring module 204.
The active event identification module 201 is configured to obtain a historical operation record of each battery pack in a preset period, and identify an active event in the historical operation record.
The activity score calculating module 202 is configured to calculate activity scores corresponding to the active events of the battery packs respectively.
The battery pack dividing module 203 is configured to divide each battery pack into a first battery pack and a second battery pack based on the liveness score, where the first battery pack is a battery pack with the liveness score greater than or equal to a set threshold, and the second battery pack is a battery pack with the liveness score less than the set threshold.
The monitoring module 204 is configured to monitor the first battery pack in real time, and monitor the second battery pack at a fixed interval.
On the basis of the above embodiment, as an alternative embodiment, the active event identification module 201 further includes: an environmental active event judgment unit in which:
the environment activity event judging unit is used for judging whether the environment temperature variation of each battery pack in a preset time period is greater than or equal to a preset temperature threshold value; and determining the event that the environmental temperature variation of each battery pack in a preset time period is greater than or equal to a preset temperature threshold as an environmental active event, and recording the occurrence times and duration of the environmental active event.
Based on the above embodiments, as an alternative embodiment, the activity score calculation module 202 further includes: liveness score summing unit, first liveness score calculating unit and state liveness calculating unit, wherein:
the activity score summation unit is used for calculating a first activity score corresponding to the state activity event of each battery pack and calculating a second activity score corresponding to the environment activity event of each battery pack; and summing the first liveness scores and the second liveness scores to obtain liveness scores corresponding to the liveness events of the battery packs.
The first liveness score calculating unit is used for obtaining a first weight corresponding to the occurrence times of the state active events of each battery pack and a second weight corresponding to the duration time of the state active events of each battery pack, and carrying out weighted summation on the occurrence times and the duration time of the state active events based on the first weight and the second weight to obtain a first liveness score corresponding to the state active events of each battery pack.
The state activity calculating unit is used for carrying out weighted summation on the occurrence times and the duration time of the state activity events by using a state activity formula based on the first weight and the second weight to obtain a first activity score corresponding to each battery pack;
the state liveness formula is:
m_a=∑_(i=1)^n▒X i+Yj；
wherein m_a is a first liveness score corresponding to the a-th battery pack;
x is a first weight corresponding to the occurrence times of the state active events;
y is a second weight corresponding to the duration of the state active event.
On the basis of the above embodiment, as an alternative embodiment, the monitoring module 204 further includes: a fixed time length determination unit in which:
and the fixed time length determining unit is used for respectively determining the fixed time length corresponding to the second battery pack based on the activity score corresponding to the second battery pack.
It should be noted that: in the system provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the system and method embodiments provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the system and method embodiments are detailed in the method embodiments, which are not repeated herein.
The embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are adapted to be loaded by a processor and execute the method for managing a distributed battery pack according to the embodiment shown in fig. 1-2, and the specific execution process may be referred to in the specific description of the embodiment shown in fig. 1-2, which is not repeated herein.
The application also discloses electronic equipment. Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.
Wherein the communication bus 302 is used to enable connected communication between these components.
The user interface 303 may include a Display screen (Display), a Camera (Camera), and the optional user interface 303 may further include a standard wired interface, and a wireless interface.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 301 may include one or more processing cores. The processor 301 utilizes various interfaces and lines to connect various portions of the overall server, perform various functions of the server and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and invoking data stored in the memory 305. Alternatively, the processor 301 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 301 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 301 and may be implemented by a single chip.
The Memory 305 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. Memory 305 may also optionally be at least one storage system located remotely from the aforementioned processor 301. Referring to fig. 3, an operating system, a network communication module, a user interface module, and an application program for distributed battery management may be included in the memory 305 as a computer storage medium.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user, and acquiring data input by the user; and processor 301 may be configured to invoke an application program in memory 305 that stores a distributed battery management, which when executed by one or more processors 301, causes electronic device 300 to perform the method as described in one or more of the embodiments above. It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all of the preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed system may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the partitioning of elements, merely a logical functional partitioning, and there may be additional partitioning in actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not implemented. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, system or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software product stored in a memory, comprising several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.
This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims (10)

1. A method of distributed battery management, the method comprising:
acquiring a historical operation record of each battery pack in a preset time period, and identifying an active event in the historical operation record;
respectively calculating the liveness scores corresponding to the liveness events of the battery packs;
dividing each battery pack into a first battery pack and a second battery pack based on the liveness score, wherein the first battery pack is a battery pack with the liveness score being greater than or equal to a set threshold value, and the second battery pack is a battery pack with the liveness score being less than the set threshold value;
and monitoring the first battery pack in real time, and monitoring the interval fixed time length of the second battery pack.
2. The method of claim 1, wherein the activity events comprise a status activity event and an environmental activity event of the battery packs, and the calculating activity scores corresponding to the activity events of the respective battery packs respectively comprises:
calculating a first liveness score corresponding to the state liveness event of each battery pack, and calculating a second liveness score corresponding to the environment liveness event of each battery pack;
and summing the first liveness scores and the second liveness scores to obtain liveness scores corresponding to the liveness events of the battery packs.
3. The method of claim 2, wherein calculating a first liveness score for a state liveness event for the respective battery pack comprises:
acquiring a first weight corresponding to the occurrence times of the state active events of each battery pack and a second weight corresponding to the duration time of the state active events of each battery pack, and carrying out weighted summation on the occurrence times and the duration time of the state active events based on the first weight and the second weight to obtain a first liveness score corresponding to the state active events of each battery pack.
4. The method of claim 3, wherein the weighting and summing the number of occurrences and duration of the state active event based on the first weight and the second weight to obtain the first activity score corresponding to each battery pack comprises:
based on the first weight and the second weight, carrying out weighted summation on the occurrence times and duration time of the state active events by using a state activity formula to obtain first activity scores corresponding to the battery packs;
the state liveness formula is as follows:
m a ＝∑ i n ＝1 Xi+Yj；
wherein m is a A first liveness score corresponding to the a-th battery pack;
x is a first weight corresponding to the occurrence times of the state active events;
and Y is a second weight corresponding to the duration of the state active event.
5. The method of claim 2, wherein the state active event comprises a charge-discharge event and a self-discharge event.
6. The method of claim 1, wherein the identifying active events in the historical operating record comprises:
judging whether the environmental temperature variation of each battery pack in a preset time period is greater than or equal to a preset temperature threshold value;
and determining the event that the environmental temperature variation of each battery pack in the preset time period is greater than or equal to a preset temperature threshold as an environmental active event, and recording the occurrence times and duration of the environmental active event.
7. The method of claim 1, wherein prior to monitoring the second battery pack interval for a fixed duration, further comprising:
and respectively determining the fixed time length corresponding to the second battery pack based on the activity score corresponding to the second battery pack.
8. A distributed battery management system, wherein the system comprises:
the system comprises an active event identification module (201) for acquiring historical operation records of each battery pack in a preset time period and identifying active events in the historical operation records;
the activity score calculating module (202) is used for calculating activity scores corresponding to the active events of the battery packs respectively; the battery pack dividing module (203) is configured to divide each battery pack into a first battery pack and a second battery pack based on the liveness score, where the first battery pack is a battery pack with the liveness score greater than or equal to a set threshold, and the second battery pack is a battery pack with the liveness score less than the set threshold;
and the monitoring module (204) is used for monitoring the first battery pack in real time and monitoring the second battery pack at fixed intervals.
9. A computer storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform the method of any one of claims 1 to 7.
10. An electronic device comprising a processor, a memory for storing instructions, and a transceiver for communicating with other devices, the processor for executing instructions stored in the memory to cause the electronic device to perform the method of any one of claims 1-7.
CN202310539966.1A 2023-05-15 2023-05-15 Distributed battery pack management method, system, storage medium and electronic equipment Pending CN116598611A (en)

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