CN117374437A - Storage battery life management system, method, device, storage medium and equipment - Google Patents

Storage battery life management system, method, device, storage medium and equipment Download PDF

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Publication number
CN117374437A
CN117374437A CN202311670042.1A CN202311670042A CN117374437A CN 117374437 A CN117374437 A CN 117374437A CN 202311670042 A CN202311670042 A CN 202311670042A CN 117374437 A CN117374437 A CN 117374437A
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CN
China
Prior art keywords
storage battery
factor parameter
health factor
battery life
life
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Granted
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CN202311670042.1A
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Chinese (zh)
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CN117374437B (en
Inventor
肖雨佳
刘文宇
孙奥
赵竞琪
史雪菲
安志坚
刘小雪
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Tianjin Guoneng Binhai Thermal Power Co ltd
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Tianjin Guoneng Binhai Thermal Power Co ltd
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Priority to CN202311670042.1A priority Critical patent/CN117374437B/en
Publication of CN117374437A publication Critical patent/CN117374437A/en
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Classifications

    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M10/4257Smart batteries, e.g. electronic circuits inside the housing of the cells or batteries
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3842Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/389Measuring internal impedance, internal conductance or related variables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/392Determining battery ageing or deterioration, e.g. state of health
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4207Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/482Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/486Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • H02J7/005Detection of state of health [SOH]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • H02J7/00712Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
    • H02J7/00714Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters in response to battery charging or discharging current
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • H02J7/00712Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
    • H02J7/007182Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters in response to battery voltage
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • H02J7/007188Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters
    • H02J7/007192Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters in response to temperature
    • H02J7/007194Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters in response to temperature of the battery
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • HELECTRICITY
    • H01ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4278Systems for data transfer from batteries, e.g. transfer of battery parameters to a controller, data transferred between battery controller and main controller

Abstract

The present disclosure relates to a battery life management system, method, apparatus, storage medium, and device. The system comprises: the storage battery life monitoring unit, the storage battery life management unit and the storage battery life maintenance unit are sequentially connected, and the storage battery life monitoring unit, the storage battery life management unit and the storage battery life maintenance unit can obtain data such as voltage, current, charging temperature and internal resistance of each storage battery pack through remote monitoring, so that real-time monitoring of the storage battery is realized, and hysteresis of monitoring of the storage battery is avoided; based on the data, the residual life of the storage battery is estimated, the health condition of the storage battery is deduced according to the analysis result, the abnormal alarm is realized, the storage battery pack is more scientifically and reasonably maintained and managed, and the service life of the storage battery pack is prolonged; the storage battery life management is realized by storing the received monitoring data to realize the functions of data playback and data display.

Description

Storage battery life management system, method, device, storage medium and equipment
Technical Field
The disclosure relates to the technical field of battery monitoring, in particular to a battery life management system, a method, a device, a storage medium and equipment.
Background
The storage battery pack is used as important energy storage equipment and an emergency uninterruptible power supply, has the advantages of good reversibility, stable voltage characteristic, long service life, wide application range, abundant raw materials and the like, and has been widely applied to various industries.
The existing method for monitoring the state of the storage battery in operation generally measures the voltage and the temperature at regular intervals to maintain the service life of the battery, has the problems of overlong detection time period and the like, and cannot find the abnormal state of the storage battery in time. When the storage battery packs are used, a user cannot monitor the accumulated charge and discharge times of each storage battery pack, and cannot monitor the current residual life and charge temperature of each storage battery pack, the electrolytic level of a single storage battery in each storage battery pack and other important data, so that whether each storage battery pack fails or not can not be found timely, and life prediction and management of the storage battery can not be carried out in real time. If the storage battery is abnormal in the working state, such as heavy current discharge, and the voltage and the temperature are measured periodically to maintain the service life of the battery, the problem that the detection time period is too long and the like exists, and the abnormal state of the storage battery cannot be found in time. Therefore, the health condition of the storage battery cannot be accurately calculated, and the remaining life of the storage battery cannot be accurately calculated. Because can not carry out effectual surplus life prediction to every storage battery, can not in time take effective maintenance means to carry out life maintenance to the battery, can reduce the life of every storage battery, and more serious, because lack effective monitoring maintenance means, can not in time, accurately master the life state of every storage battery, this can bring the hidden danger for equipment safe operation.
Disclosure of Invention
The invention aims to provide a storage battery life management system, a method, a device, a storage medium and equipment, which can acquire data such as voltage, current, charging temperature, internal resistance and the like of each storage battery pack by remotely monitoring the storage battery, realize real-time monitoring of the storage battery and avoid hysteresis of monitoring the storage battery; based on the data, the residual life of the storage battery is estimated, the health condition of the storage battery is deduced according to the analysis result, the abnormal alarm is realized, the storage battery pack is more scientifically and reasonably maintained and managed, and the service life of the storage battery pack is prolonged; and the storage battery full-life management is realized by storing the received monitoring data to realize the functions of data playback and data display.
To achieve the above object, according to a first aspect of embodiments of the present disclosure, there is provided a battery life management system including: a battery life monitoring unit, a battery life management unit, and a battery life maintenance unit;
the storage battery life monitoring unit is used for connecting a storage battery and acquiring monitoring information of the storage battery, wherein the monitoring information comprises operation data information of the storage battery;
The storage battery life management unit is connected with the storage battery life monitoring unit and is used for receiving monitoring information of the storage battery life monitoring unit, estimating the residual life of the storage battery according to the monitoring information and sending a storage battery life maintenance instruction to the storage battery life maintenance unit according to an estimation result;
the storage battery life maintenance unit is connected with the storage battery life management unit and is used for carrying out field life maintenance on the storage battery according to the storage battery life maintenance instruction sent by the storage battery life management unit.
Optionally, the battery life monitoring unit includes: the device comprises a communication module, and a voltage acquisition module, a current acquisition module, a temperature acquisition module and an internal resistance acquisition module which are respectively connected with the communication module;
the voltage acquisition module is used for acquiring the real-time working voltage of the storage battery;
the current acquisition module is used for acquiring the real-time working current of the storage battery;
the temperature acquisition module is used for acquiring the real-time working temperature of the storage battery;
the internal resistance acquisition module is used for acquiring the internal resistance of the storage battery;
the communication module is used for transmitting monitoring information of the storage battery, wherein the monitoring information comprises at least one of real-time working voltage, real-time working current, real-time working temperature and internal resistance of the storage battery.
Optionally, the battery life management unit includes: the system comprises a processing module, a display module, an alarm module and a database module, wherein the display module, the alarm module and the database module are respectively connected with the processing module;
the display module is used for displaying the monitoring information;
the alarm module is used for outputting alarm information;
the database module is used for storing operation monitoring data of the storage battery;
and the processing module is used for evaluating the residual life of the storage battery according to the monitoring information and sending a storage battery life maintenance instruction to the storage battery life maintenance unit according to an evaluation result.
Optionally, the performing field life maintenance on the storage battery includes: and performing at least one maintenance operation of conventional charging, emergency charging, pulse repairing and deep activation repairing on the storage battery in real time.
According to a second aspect of embodiments of the present disclosure, there is provided a battery life management method applied to the battery life management system of any one of the first aspects, the method including:
acquiring a first health factor parameter of the storage battery according to historical operation monitoring data of the storage battery, wherein the first health factor parameter is a first constant voltage drop discharging time sequence of the storage battery;
Acquiring a first health factor parameter curve under different residual cycle times of the storage battery according to the first health factor parameter and the residual cycle times of the storage battery;
acquiring a second health factor parameter of the storage battery according to the real-time operation monitoring data of the storage battery, wherein the second health factor parameter is a second equivalent voltage drop discharging time sequence of the storage battery;
acquiring a second health factor parameter curve according to the second health factor parameter;
and determining the residual life of the storage battery according to the second health factor parameter curve.
Optionally, the determining the remaining life of the storage battery according to the second health factor parameter curve includes:
calculating the association coefficient of the second health factor parameter curve and the first health factor parameter curve;
and determining the residual cycle times corresponding to the first health factor parameter curve with the minimum association coefficient as the residual life of the storage battery.
Optionally, the first and second series of equipotential discharge times are the same in both equipotential drop intervals and discharge currents.
According to a third aspect of embodiments of the present disclosure, there is provided a battery life management device, the device comprising:
The first acquisition module is used for acquiring a first health factor parameter of the storage battery according to the historical operation monitoring data of the storage battery, wherein the first health factor parameter is a first constant-voltage drop discharging time sequence of the storage battery;
the second acquisition module is used for acquiring a first health factor parameter curve under different residual cycle times of the storage battery according to the first health factor parameter and the residual cycle times of the storage battery;
the third acquisition module is used for acquiring a second health factor parameter of the storage battery according to the real-time operation monitoring data of the storage battery, wherein the second health factor parameter is a second equivalent voltage drop discharging time sequence of the storage battery;
a fourth obtaining module, configured to obtain a second health factor parameter curve according to the second health factor parameter;
and the determining module is used for determining the residual life of the storage battery according to the second health factor parameter curve.
Optionally, the determining module includes a determining sub-module for:
calculating the association coefficient of the second health factor parameter curve and the first health factor parameter curve;
and determining the residual cycle times corresponding to the first health factor parameter curve with the minimum association coefficient as the residual life of the storage battery.
Optionally, the first and second series of equipotential discharge times are the same in both equipotential drop intervals and discharge currents.
According to a fourth aspect of embodiments of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of any of the second aspects.
According to a fifth aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any of the second aspects.
In summary, embodiments of the present disclosure provide a battery life management system, including: a battery life monitoring unit, a battery life management unit, and a battery life maintenance unit; the storage battery life monitoring unit is used for connecting a storage battery and acquiring monitoring information of the storage battery, wherein the monitoring information comprises operation data information of the storage battery; the storage battery life management unit is connected with the storage battery life monitoring unit and is used for receiving monitoring information of the storage battery life monitoring unit, estimating the residual life of the storage battery according to the monitoring information and sending a storage battery life maintenance instruction to the storage battery life maintenance unit according to an estimation result; the storage battery life maintenance unit is connected with the storage battery life management unit and is used for carrying out field life maintenance on the storage battery according to the storage battery life maintenance instruction sent by the storage battery life management unit. According to the embodiment of the disclosure, the storage battery can be remotely monitored, the voltage, the current, the charging temperature, the internal resistance and other data of each storage battery pack can be obtained, the real-time monitoring of the storage battery is realized, and the hysteresis of the monitoring of the storage battery is avoided; based on the data, the residual life of the storage battery is estimated, the health condition of the storage battery is deduced according to the analysis result, the abnormal alarm is realized, the storage battery pack is more scientifically and reasonably maintained and managed, and the service life of the storage battery pack is prolonged; and the storage battery full-life management is realized by storing the received monitoring data to realize the functions of data playback and data display.
Additional features and advantages of the present disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of the disclosure, and are incorporated in and constitute a part of this specification, illustrate the disclosure and together with the description serve to explain, but do not limit the disclosure. In the drawings:
FIG. 1 is a block diagram illustrating a battery life management system according to an exemplary embodiment.
FIG. 2 is a block diagram illustrating a battery life management system according to an exemplary embodiment.
FIG. 3 is a block diagram illustrating a battery life management system according to an exemplary embodiment.
Fig. 4a is a flowchart illustrating a battery life management method according to an exemplary embodiment.
Fig. 4b is a schematic diagram showing a first health factor parameter curve and a second health factor parameter curve according to an exemplary embodiment.
Fig. 5 is a flowchart illustrating a battery life management method according to an exemplary embodiment.
Fig. 6 is a block diagram illustrating a battery life management device 600 according to an exemplary embodiment.
Fig. 7 is a block diagram of an electronic device 700, according to an example embodiment.
Fig. 8 is a block diagram of an electronic device 800, according to an example embodiment.
Detailed Description
Specific embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the disclosure, are not intended to limit the disclosure.
It should be understood that the term "include" and variations thereof as used herein are intended to be open-ended, i.e., "including but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, units, or units and are not used to define an order or interdependence of functions performed by the devices, units, or units. The references to "a" and "an" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise. In the description of the present disclosure, unless otherwise indicated, "a plurality" means two or more than two, and other adjectives are similar thereto; "at least one item", "an item" or "a plurality of items" or the like, refer to any combination of these items, including any combination of single item(s) or plural items(s).
Although operations or steps are described in a particular order in the figures in the disclosed embodiments, it should not be understood as requiring that such operations or steps be performed in the particular order shown or in sequential order, or that all illustrated operations or steps be performed, to achieve desirable results. In embodiments of the present disclosure, these operations or steps may be performed serially; these operations or steps may also be performed in parallel; some of these operations or steps may also be performed.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information. It will be appreciated that prior to using the technical solutions disclosed in the embodiments of the present disclosure, the user should be informed and authorized of the type, usage range, usage scenario, etc. of the personal information related to the present disclosure in an appropriate manner according to the relevant legal regulations. The present disclosure is described below in connection with specific embodiments.
FIG. 1 is a block diagram illustrating a battery life management system according to an exemplary embodiment. As shown in fig. 1, an embodiment of the present disclosure provides a battery life management system, the system comprising: battery life monitoring unit 10, battery life management unit 20, and battery life maintenance unit 30.
The battery life monitoring unit 10 is used for connecting a battery, acquiring monitoring information of the battery, wherein the monitoring information comprises operation data information of the battery. The battery life management unit 20 is connected to the battery life monitoring unit 10, and is configured to receive monitoring information of the battery life monitoring unit 10, evaluate the remaining life of the battery according to the monitoring information, and send a battery life maintenance instruction to the battery life maintenance unit 30 according to the evaluation result. The battery life maintenance unit 30 is connected to the battery life management unit 20, and is configured to perform on-site life maintenance on the battery according to the battery life maintenance instruction sent by the battery life management unit 20.
In summary, embodiments of the present disclosure provide a battery life management system, including: a battery life monitoring unit, a battery life management unit, and a battery life maintenance unit; the storage battery life monitoring unit is used for connecting a storage battery and acquiring monitoring information of the storage battery, wherein the monitoring information comprises operation data information of the storage battery; the storage battery life management unit is connected with the storage battery life monitoring unit and is used for receiving monitoring information of the storage battery life monitoring unit, estimating the residual life of the storage battery according to the monitoring information and sending a storage battery life maintenance instruction to the storage battery life maintenance unit according to an estimation result; the storage battery life maintenance unit is connected with the storage battery life management unit and is used for carrying out field life maintenance on the storage battery according to the storage battery life maintenance instruction sent by the storage battery life management unit. According to the embodiment of the disclosure, the storage battery can be remotely monitored, the voltage, the current, the charging temperature, the internal resistance and other data of each storage battery pack can be obtained, the real-time monitoring of the storage battery is realized, and the hysteresis of the monitoring of the storage battery is avoided; based on the data, the residual life of the storage battery is estimated, the health condition of the storage battery is deduced according to the analysis result, the abnormal alarm is realized, the storage battery pack is more scientifically and reasonably maintained and managed, and the service life of the storage battery pack is prolonged; and the storage battery full-life management is realized by storing the received monitoring data to realize the functions of data playback and data display.
FIG. 2 is a block diagram illustrating a battery life management system according to an exemplary embodiment. As shown in fig. 2, the battery life monitoring unit 10 includes: the device comprises a communication module 101, and a voltage acquisition module 102, a current acquisition module 103, a temperature acquisition module 104 and an internal resistance acquisition module 105 which are respectively connected with the communication module 101.
The voltage acquisition module 102 is used for acquiring the real-time working voltage of the storage battery; the current acquisition module 103 is used for acquiring the real-time working current of the storage battery; the temperature acquisition module 104 is used for acquiring the real-time working temperature of the storage battery; an internal resistance acquisition module 105 for acquiring the internal resistance of the storage battery; the communication module 101 is configured to transmit monitoring information of the battery, where the monitoring information includes at least one of a real-time operating voltage, a real-time operating current, a real-time operating temperature, and an internal resistance of the battery.
FIG. 3 is a block diagram illustrating a battery life management system according to an exemplary embodiment. As shown in fig. 3, the battery life management unit 20 includes: the processing module 201, and a display module 202, an alarm module 203 and a database module 204 which are respectively connected with the processing module 201.
And the display module 202 is used for displaying the monitoring information. And the alarm module 203 is used for outputting alarm information. The database module 204 is used for storing operation monitoring data of the storage battery. The processing module 201 is configured to evaluate the remaining life of the battery according to the monitoring information, and send a battery life maintenance instruction to the battery life maintenance unit 30 according to the evaluation result.
In some embodiments, performing field life maintenance on a battery includes: and carrying out at least one maintenance operation of conventional charging, emergency charging, pulse repairing and deep activation repairing on the storage battery in real time.
In summary, embodiments of the present disclosure provide a battery life management system, including: a battery life monitoring unit, a battery life management unit, and a battery life maintenance unit; the storage battery life monitoring unit is used for connecting a storage battery and acquiring monitoring information of the storage battery, wherein the monitoring information comprises operation data information of the storage battery; the storage battery life management unit is connected with the storage battery life monitoring unit and is used for receiving monitoring information of the storage battery life monitoring unit, estimating the residual life of the storage battery according to the monitoring information and sending a storage battery life maintenance instruction to the storage battery life maintenance unit according to an estimation result; the storage battery life maintenance unit is connected with the storage battery life management unit and is used for carrying out field life maintenance on the storage battery according to the storage battery life maintenance instruction sent by the storage battery life management unit. According to the embodiment of the disclosure, the storage battery can be remotely monitored, the voltage, the current, the charging temperature, the internal resistance and other data of each storage battery pack can be obtained, the real-time monitoring of the storage battery is realized, and the hysteresis of the monitoring of the storage battery is avoided; based on the data, the residual life of the storage battery is estimated, the health condition of the storage battery is deduced according to the analysis result, the abnormal alarm is realized, the storage battery pack is more scientifically and reasonably maintained and managed, and the service life of the storage battery pack is prolonged; and the storage battery full-life management is realized by storing the received monitoring data to realize the functions of data playback and data display.
Fig. 4a is a flowchart illustrating a battery life management method according to an exemplary embodiment. As shown in fig. 4a, an embodiment of the present disclosure provides a battery life management method, which is applied to the battery life management system described in the foregoing embodiment, and the method may include the following steps:
in step S10, according to the historical operation monitoring data of the storage battery, a first health factor parameter of the storage battery is obtained, where the first health factor parameter is a first constant-voltage drop discharging time sequence of the storage battery.
In the step, according to historical operation monitoring data of the storage battery, a first health factor parameter of the storage battery is obtained, wherein the first health factor parameter is a first constant voltage drop discharging time sequence of the storage battery. Illustratively, the operating time for which power can be continuously supplied is the longest after the initial battery is fully charged. With the continuous charge and discharge process, the service time is increased and the battery is consumed, so that the discharge duration time after the battery is fully charged is shorter and shorter. Based on this phenomenon, for a storage battery that is cyclically charged and discharged, the time required for the battery voltage to drop from one higher voltage to another lower voltage in the discharge period has a tendency to decrease with an increasing number of charge and discharge, i.e., has a certain correlation with the remaining life of the storage battery. The time required for the voltage to drop from one high voltage to another low voltage in each discharge cycle is referred to as a first series of equal voltage drop discharge times. Since the sequence is constructed to characterize the state of health of the battery and is easily constructed from directly monitorable parameters, it can be used as a first health factor parameter for estimating the remaining life of the battery.
In step S20, a first health factor parameter curve under different remaining cycle times of the storage battery is obtained according to the first health factor parameter and the remaining cycle times of the storage battery.
In the step, a first health factor parameter curve under different residual cycle times of the storage battery is obtained according to the first health factor parameter and the residual cycle times of the storage battery.
Fig. 4b is a schematic diagram showing a first health factor parameter curve and a second health factor parameter curve according to an exemplary embodiment. As shown in fig. 4b, the curve shown by the solid line is a first health factor parameter curve, and the numbers marked on the curve are the remaining battery cycle number, which is the empirical data stored in the database module 204 of the battery life management unit 20.
Taking the first health factor parameter curve of 200 remaining cycles as an example, the first constant voltage drop discharge time sequence is (t 1, t2, t 3), which represents the discharge time of the battery voltage from 12V to 9V, the discharge time of the battery voltage from 9V to 6V, and the discharge time of the battery voltage from 6V to 3V respectively, where t1 is about 2.6 hours, t2 is about 1.6 hours, and t3 is about 0.8 hours, and it is seen that the battery performance has been significantly degraded at this time (at this time, the remaining cycles of the battery are 200 times). The curve is fitted according to a first isoelectric discharge time sequence (t 1, t2, t 3).
In step S30, according to the real-time operation monitoring data of the storage battery, a second health factor parameter of the storage battery is obtained, where the second health factor parameter is a second voltage drop discharging time sequence of the storage battery.
In the step, according to the real-time operation monitoring data of the storage battery, a second health factor parameter of the storage battery is obtained, wherein the second health factor parameter is a second equivalent voltage drop discharging time sequence of the storage battery. For example, referring to fig. 4b, the curve shown by the dashed line is a second health factor parameter curve, and the second equivalent voltage drop discharge time sequence is (T1, T2, T3), which represents the discharge time of the battery voltage from 12V to 9V, the discharge time of the battery voltage from 9V to 6V, and the discharge time of the battery voltage from 6V to 3V, respectively, where T1 is about 5.2 hours, T2 is about 2.2 hours, and T3 is about 0.8 hours. The second health factor parameter curve is a curve fitted according to a second constant-voltage-drop discharge time sequence (T1, T2, T3).
In step S40, a second health factor parameter curve is obtained according to the second health factor parameter.
In this step, a second health factor parameter curve is obtained from the second health factor parameter. For example, a second equivalent voltage drop discharge time sequence may be obtained according to the monitoring information of the battery life monitoring unit 10, and then a second health factor parameter curve may be obtained according to the second equivalent voltage drop discharge time sequence by using an existing curve fitting method. The second health factor parameter curve may be seen in fig. 4b.
In step S50, the remaining life of the battery is determined from the second health factor parameter curve.
In this step, the remaining life of the battery is determined from the second health factor parameter curve. For example, the correlation coefficient of the second health factor parameter curve with the first health factor parameter curve may be calculated. The correlation coefficient characterizes a distance of the second health factor parameter curve from the first health factor parameter curve. And determining the residual cycle number corresponding to the first health factor parameter curve with the smallest correlation coefficient with the second health factor parameter curve as the residual life of the storage battery.
Fig. 5 is a flowchart illustrating a battery life management method according to an exemplary embodiment. As shown in fig. 5, the determining the remaining life of the storage battery according to the second health factor parameter curve may include the following steps:
in step S501, a correlation coefficient of the second health factor parameter curve and the first health factor parameter curve is calculated.
In this step, the correlation coefficient of the second health factor parameter curve and the first health factor parameter curve is calculated. Exemplary, the relationship of the second health factor parameter curve and the first health factor parameter curve Number of digitsCan be obtained from the following formula:
wherein,for the correlation coefficient of the second health factor parameter curve and the kth first health factor parameter curve, n is the number of data in the isobaric drop discharge time sequence, < + >>For the ith data in the second series of the voltage drop discharge times,is the ith data in the kth first isoelectric discharge time sequence.
In step S502, it is determined that the remaining cycle number corresponding to the first health factor parameter curve with the smallest association coefficient is the remaining life of the storage battery.
In the step, the residual cycle number corresponding to the first health factor parameter curve with the smallest association coefficient is determined as the residual life of the storage battery. Exemplary, determining coefficients associated with the second health factor parameter curveThe remaining cycle number corresponding to the minimum kth first health factor parameter curve is the remaining life of the storage battery.
Exemplary, referring to FIG. 4b, the second health factor parameter curve is closest to the 4 th first health factor parameter curve from right to left, the correlation coefficientAt a minimum, the remaining cycle number 240 corresponding to the first health factor parameter curve is determined as the remaining life of the battery. Of course, also can The ratio of the number of remaining cycles 240 to the number of initial remaining cycles 300 is taken as the remaining life of the battery, i.e. 240/300=0.8, i.e. 80%.
In some embodiments, the isobaric drop interval and the discharge current of the first and second series of equi-drop discharge times are the same. For example, referring to fig. 4b, the first and second equipotential discharge time series have an equipotential drop interval of 3V and the discharge current is 1C. It can be understood that the smaller the voltage drop intervals, the more data in the obtained isobaric discharging time sequence, the more accurate the fitted health factor parameter curve, and the more accurate the final estimated remaining life data of the storage battery.
In summary, an embodiment of the present disclosure provides a battery life management method, which is applied to the battery life management system described in any one of the above embodiments, and the method includes: acquiring a first health factor parameter of the storage battery according to historical operation monitoring data of the storage battery, wherein the first health factor parameter is a first constant voltage drop discharging time sequence of the storage battery; acquiring a first health factor parameter curve under different residual cycle times of the storage battery according to the first health factor parameter and the residual cycle times of the storage battery; acquiring a second health factor parameter of the storage battery according to the real-time operation monitoring data of the storage battery, wherein the second health factor parameter is a second equivalent voltage drop discharging time sequence of the storage battery; acquiring a second health factor parameter curve according to the second health factor parameter; and determining the residual life of the storage battery according to the second health factor parameter curve. According to the embodiment of the disclosure, the storage battery can be remotely monitored, the voltage, the current, the charging temperature, the internal resistance and other data of each storage battery pack can be obtained, the real-time monitoring of the storage battery is realized, and the hysteresis of the monitoring of the storage battery is avoided; based on the data, the residual life of the storage battery is estimated, the health condition of the storage battery is deduced according to the analysis result, the abnormal alarm is realized, the storage battery pack is more scientifically and reasonably maintained and managed, and the service life of the storage battery pack is prolonged.
Fig. 6 is a block diagram illustrating a battery life management device 600 according to an exemplary embodiment. As shown in fig. 6, an embodiment of the present disclosure provides a battery life management device 600, the device 600 may include the following modules:
the first obtaining module 610 is configured to obtain a first health factor parameter of the storage battery according to the historical operation monitoring data of the storage battery, where the first health factor parameter is a first constant-voltage-drop discharging time sequence of the storage battery.
The second obtaining module 620 is configured to obtain a first health factor parameter curve under different remaining cycle times of the storage battery according to the first health factor parameter and the remaining cycle times of the storage battery.
And a third obtaining module 630, configured to obtain a second health factor parameter of the storage battery according to the real-time operation monitoring data of the storage battery, where the second health factor parameter is a second voltage drop discharge time sequence of the storage battery.
And a fourth obtaining module 640, configured to obtain a second health factor parameter curve according to the second health factor parameter.
A determining module 650 is configured to determine a remaining life of the battery according to the second health factor parameter curve.
Optionally, the determining module 650 includes a determining sub-module for:
calculating the association coefficient of the second health factor parameter curve and the first health factor parameter curve;
and determining the residual cycle times corresponding to the first health factor parameter curve with the minimum association coefficient as the residual life of the storage battery.
Optionally, the first and second series of equipotential discharge times are the same in both equipotential drop intervals and discharge currents.
The specific manner in which the individual units perform the operations in relation to the apparatus of the above embodiments has been described in detail in relation to the embodiments of the method and will not be described in detail here.
In summary, embodiments of the present disclosure provide a battery life management device, including: the first acquisition module is used for acquiring a first health factor parameter of the storage battery according to the historical operation monitoring data of the storage battery, wherein the first health factor parameter is a first constant-voltage drop discharging time sequence of the storage battery; the second acquisition module is used for acquiring a first health factor parameter curve under different residual cycle times of the storage battery according to the first health factor parameter and the residual cycle times of the storage battery; the third acquisition module is used for acquiring a second health factor parameter of the storage battery according to the real-time operation monitoring data of the storage battery, wherein the second health factor parameter is a second equivalent voltage drop discharging time sequence of the storage battery; a fourth obtaining module, configured to obtain a second health factor parameter curve according to the second health factor parameter; and the determining module is used for determining the residual life of the storage battery according to the second health factor parameter curve. According to the embodiment of the disclosure, the storage battery can be remotely monitored, the voltage, the current, the charging temperature, the internal resistance and other data of each storage battery pack can be obtained, the real-time monitoring of the storage battery is realized, and the hysteresis of the monitoring of the storage battery is avoided; based on the data, the residual life of the storage battery is estimated, the health condition of the storage battery is deduced according to the analysis result, the abnormal alarm is realized, the storage battery pack is more scientifically and reasonably maintained and managed, and the service life of the storage battery pack is prolonged.
Fig. 7 is a block diagram of an electronic device 700, according to an example embodiment. As shown in fig. 7, the electronic device 700 may be the processing module 201, and may include: a processor 701, a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
The processor 701 is configured to control the overall operation of the electronic device 700 to perform all or part of the steps in the above-described battery life management method. The memory 702 is used to store various types of data to support operation on the electronic device 700, which may include, for example, instructions for any application or method operating on the electronic device 700, as well as application-related data, such as contact data, messages sent and received, pictures, audio, video, and so forth. The Memory 702 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 703 can include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 702 or transmitted through the communication component 705. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 704 provides an interface between the processor 701 and other interface elements, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or one or a combination of more of them, is not limited herein. The corresponding communication component 705 may thus comprise: wi-Fi units, bluetooth units, NFC units, etc.
In an exemplary embodiment, the electronic device 700 may be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, abbreviated ASIC), digital signal processor (Digital Signal Processor, abbreviated DSP), digital signal processing device (Digital Signal Processing Device, abbreviated DSPD), programmable logic device (Programmable Logic Device, abbreviated PLD), field programmable gate array (Field Programmable Gate Array, abbreviated FPGA), controller, microcontroller, microprocessor, or other electronic components for performing the battery life management method described above.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the battery life management method described above. For example, the computer readable storage medium may be the memory 702 including program instructions described above that are executable by the processor 701 of the electronic device 700 to perform the battery life management method described above.
Fig. 8 is a block diagram of an electronic device 800, according to an example embodiment. For example, the electronic device 800 may be provided as a server. Referring to fig. 8, the electronic device 800 includes a processor 822, which may be one or more in number, and a memory 832 for storing computer programs executable by the processor 822. The computer program stored in memory 832 may include one or more units each corresponding to a set of instructions. Further, the processor 822 may be configured to execute the computer program to perform the battery life management method described above.
In addition, the electronic device 800 may further include a power supply component 826 and a communication component 850, the power supply component 826 may be configured to perform power management of the electronic device 800, and the communication component 850 may be configured to enable communication of the electronic device 800, such as wired or wireless communication. In addition, the electronic device 800 may also include an input/output (I/O) interface 858. The electronic device 800 may operate an operating system based on storage 832.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the battery life management method described above. For example, the non-transitory computer readable storage medium may be the memory 832 described above that includes program instructions executable by the processor 822 of the electronic device 800 to perform the battery life management method described above.
In another exemplary embodiment, a computer program product is also provided, comprising a computer program executable by a programmable apparatus, the computer program having code portions for performing the above-described battery life management method when executed by the programmable apparatus.
The preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the present disclosure within the scope of the technical concept of the present disclosure, and all the simple modifications belong to the protection scope of the present disclosure.
In addition, the specific features described in the foregoing embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, the present disclosure does not further describe various possible combinations.
Moreover, any combination between the various embodiments of the present disclosure is possible as long as it does not depart from the spirit of the present disclosure, which should also be construed as the disclosure of the present disclosure.

Claims (12)

1. A battery life management system, the system comprising: a battery life monitoring unit, a battery life management unit, and a battery life maintenance unit;
the storage battery life monitoring unit is used for connecting a storage battery and acquiring monitoring information of the storage battery, wherein the monitoring information comprises operation data information of the storage battery;
The storage battery life management unit is connected with the storage battery life monitoring unit and is used for receiving monitoring information of the storage battery life monitoring unit, estimating the residual life of the storage battery according to the monitoring information and sending a storage battery life maintenance instruction to the storage battery life maintenance unit according to an estimation result;
the storage battery life maintenance unit is connected with the storage battery life management unit and is used for carrying out field life maintenance on the storage battery according to the storage battery life maintenance instruction sent by the storage battery life management unit.
2. The battery life management system according to claim 1, wherein the battery life monitoring unit includes: the device comprises a communication module, and a voltage acquisition module, a current acquisition module, a temperature acquisition module and an internal resistance acquisition module which are respectively connected with the communication module;
the voltage acquisition module is used for acquiring the real-time working voltage of the storage battery;
the current acquisition module is used for acquiring the real-time working current of the storage battery;
the temperature acquisition module is used for acquiring the real-time working temperature of the storage battery;
the internal resistance acquisition module is used for acquiring the internal resistance of the storage battery;
The communication module is used for transmitting monitoring information of the storage battery, wherein the monitoring information comprises at least one of real-time working voltage, real-time working current, real-time working temperature and internal resistance of the storage battery.
3. The battery life management system according to claim 1, wherein the battery life management unit includes: the system comprises a processing module, a display module, an alarm module and a database module, wherein the display module, the alarm module and the database module are respectively connected with the processing module;
the display module is used for displaying the monitoring information;
the alarm module is used for outputting alarm information;
the database module is used for storing operation monitoring data of the storage battery;
and the processing module is used for evaluating the residual life of the storage battery according to the monitoring information and sending a storage battery life maintenance instruction to the storage battery life maintenance unit according to an evaluation result.
4. The battery life management system of any of claims 1-3, wherein said performing field life maintenance on said battery comprises: and performing at least one maintenance operation of conventional charging, emergency charging, pulse repairing and deep activation repairing on the storage battery in real time.
5. A battery life management method applied to the battery life management system of any one of claims 1 to 4, the method comprising:
acquiring a first health factor parameter of the storage battery according to historical operation monitoring data of the storage battery, wherein the first health factor parameter is a first constant voltage drop discharging time sequence of the storage battery;
acquiring a first health factor parameter curve under different residual cycle times of the storage battery according to the first health factor parameter and the residual cycle times of the storage battery;
acquiring a second health factor parameter of the storage battery according to the real-time operation monitoring data of the storage battery, wherein the second health factor parameter is a second equivalent voltage drop discharging time sequence of the storage battery;
acquiring a second health factor parameter curve according to the second health factor parameter;
and determining the residual life of the storage battery according to the second health factor parameter curve.
6. The battery life management method of claim 5, wherein said determining the remaining life of the battery from the second health factor parameter profile comprises:
Calculating the association coefficient of the second health factor parameter curve and the first health factor parameter curve;
and determining the residual cycle times corresponding to the first health factor parameter curve with the minimum association coefficient as the residual life of the storage battery.
7. The battery life management method according to claim 5 or 6, wherein the first equal-voltage-drop discharge time series and the second equal-voltage-drop discharge time series are both identical in equal-voltage-drop interval and discharge current.
8. A battery life management device, the device comprising:
the first acquisition module is used for acquiring a first health factor parameter of the storage battery according to the historical operation monitoring data of the storage battery, wherein the first health factor parameter is a first constant-voltage drop discharging time sequence of the storage battery;
the second acquisition module is used for acquiring a first health factor parameter curve under different residual cycle times of the storage battery according to the first health factor parameter and the residual cycle times of the storage battery;
the third acquisition module is used for acquiring a second health factor parameter of the storage battery according to the real-time operation monitoring data of the storage battery, wherein the second health factor parameter is a second equivalent voltage drop discharging time sequence of the storage battery;
A fourth obtaining module, configured to obtain a second health factor parameter curve according to the second health factor parameter;
and the determining module is used for determining the residual life of the storage battery according to the second health factor parameter curve.
9. The battery life management device of claim 8, wherein the determination module includes a determination sub-module for:
calculating the association coefficient of the second health factor parameter curve and the first health factor parameter curve;
and determining the residual cycle times corresponding to the first health factor parameter curve with the minimum association coefficient as the residual life of the storage battery.
10. The battery life management device according to claim 8 or 9, wherein the isobaric drop interval and the discharge current of the first equi-drop discharge time series and the second equi-drop discharge time series are both the same.
11. A non-transitory computer readable storage medium having stored thereon a computer program, characterized in that the program when executed by a processor realizes the steps of the method according to any of claims 5-7.
12. An electronic device, comprising:
a memory having a computer program stored thereon;
A processor for executing the computer program in the memory to implement the steps of the method of any of claims 5-7.
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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007075403A2 (en) * 2005-12-20 2007-07-05 Midtronics, Inc. Battery monitoring system
CN103389471A (en) * 2013-07-25 2013-11-13 哈尔滨工业大学 Cycle life indirect prediction method for lithium ion battery provided with uncertain intervals on basis of GPR (general purpose register)
CN110109028A (en) * 2019-04-12 2019-08-09 江苏大学 A kind of power battery remaining life indirect predictions method
KR20210155914A (en) * 2020-06-17 2021-12-24 주식회사 나산전기산업 BMS management system having battery management method for managing battery using charge-discharge characteristics of battery
CN114545242A (en) * 2022-02-25 2022-05-27 中国人民解放军陆军工程大学 Comprehensive intelligent management system for storage battery
CN114609577A (en) * 2022-03-03 2022-06-10 国网辽宁省电力有限公司营销服务中心 Health degree analysis system based on running state of electric energy meter
CN114660497A (en) * 2022-03-17 2022-06-24 哈尔滨理工大学 Lithium ion battery service life prediction method aiming at capacity regeneration phenomenon
CN115114878A (en) * 2022-07-26 2022-09-27 中国长江三峡集团有限公司 Method and device for online prediction of battery life of energy storage power station and storage medium
CN115270454A (en) * 2022-07-22 2022-11-01 中国人民解放军海军勤务学院 Battery life prediction method and related equipment
CN116011993A (en) * 2023-01-10 2023-04-25 九源云(广州)智能科技有限公司 Storage battery health management system based on CPS architecture
CN116381497A (en) * 2022-12-30 2023-07-04 湖北三江航天万山特种车辆有限公司 Vehicle battery monitoring system
CN116593903A (en) * 2023-07-17 2023-08-15 中国华能集团清洁能源技术研究院有限公司 Battery remaining life prediction method and device
CN116794516A (en) * 2023-05-22 2023-09-22 烟台大学 Method for predicting residual service life of lithium ion battery based on algorithm fusion

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007075403A2 (en) * 2005-12-20 2007-07-05 Midtronics, Inc. Battery monitoring system
CN103389471A (en) * 2013-07-25 2013-11-13 哈尔滨工业大学 Cycle life indirect prediction method for lithium ion battery provided with uncertain intervals on basis of GPR (general purpose register)
CN110109028A (en) * 2019-04-12 2019-08-09 江苏大学 A kind of power battery remaining life indirect predictions method
KR20210155914A (en) * 2020-06-17 2021-12-24 주식회사 나산전기산업 BMS management system having battery management method for managing battery using charge-discharge characteristics of battery
CN114545242A (en) * 2022-02-25 2022-05-27 中国人民解放军陆军工程大学 Comprehensive intelligent management system for storage battery
CN114609577A (en) * 2022-03-03 2022-06-10 国网辽宁省电力有限公司营销服务中心 Health degree analysis system based on running state of electric energy meter
CN114660497A (en) * 2022-03-17 2022-06-24 哈尔滨理工大学 Lithium ion battery service life prediction method aiming at capacity regeneration phenomenon
CN115270454A (en) * 2022-07-22 2022-11-01 中国人民解放军海军勤务学院 Battery life prediction method and related equipment
CN115114878A (en) * 2022-07-26 2022-09-27 中国长江三峡集团有限公司 Method and device for online prediction of battery life of energy storage power station and storage medium
CN116381497A (en) * 2022-12-30 2023-07-04 湖北三江航天万山特种车辆有限公司 Vehicle battery monitoring system
CN116011993A (en) * 2023-01-10 2023-04-25 九源云(广州)智能科技有限公司 Storage battery health management system based on CPS architecture
CN116794516A (en) * 2023-05-22 2023-09-22 烟台大学 Method for predicting residual service life of lithium ion battery based on algorithm fusion
CN116593903A (en) * 2023-07-17 2023-08-15 中国华能集团清洁能源技术研究院有限公司 Battery remaining life prediction method and device

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