CN115588786A - Steady state management and control method for battery system in full life cycle - Google Patents

Steady state management and control method for battery system in full life cycle Download PDF

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CN115588786A
CN115588786A CN202210554508.0A CN202210554508A CN115588786A CN 115588786 A CN115588786 A CN 115588786A CN 202210554508 A CN202210554508 A CN 202210554508A CN 115588786 A CN115588786 A CN 115588786A
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battery
cell
battery cell
voltage
management
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蔡静
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Xi'an Heneng Electric Technology Co ltd
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Xi'an Heneng Electric Technology Co ltd
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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
    • H01M10/4285—Testing apparatus
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • 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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  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention belongs to the technical field of battery management, in particular to a steady state management and control method for a battery system in a full life cycle, which comprises the following steps of 1: establishing a voltage differential function model, completing the cycle test of the effective service life of the battery for 3000 times, obtaining differential values dV1 \ 8230of 3000 groups of voltages, \8230anddV 3000, and distributing and arranging the modified sets according to the sequence of 3000 times to form a voltage differential function curve; step 2: the data acquisition and data analysis in the step 1 are realized through multiple cycles of the battery cell; the VL value under the whole life cycle (for example, 3000 life) of the battery cell can be obtained, and the VL value is gradually reduced according to the self attenuation of the battery cell; the battery pack structure is reasonable in structure, all the battery cells in the system are guaranteed to be in the optimal stable working state all the time in any process of the whole life cycle, the problems of overcharge, over-discharge, over-temperature and the like of the battery cells are prevented absolutely, the service life of the battery cells is prolonged, and the utilization rate of the battery pack is maximized.

Description

Steady state management and control method for battery system in full life cycle
Technical Field
The invention relates to the technical field of battery management, in particular to a steady-state management and control method for a battery system in a full life cycle.
Background
Inconsistent cell strings are used in parallel, and the following problems arise.
1) The capacity loss, the battery cell monomer constitutes the group battery, and the capacity accords with "the wooden cask principle", and the capacity of the worst battery cell decides the ability of whole group battery.
To prevent the battery from being overcharged and overdischarged, the logic of the battery management system is set as follows: during discharging, when the lowest monomer voltage reaches a discharge cut-off voltage, the whole battery pack stops discharging; in the charging, when the highest cell voltage reaches the charge cut-off voltage, the charging is stopped.
Take two cells in series for example. One cell has a capacity of 1C, and the other cell has a capacity of only 0.9C. In series, both cells pass the same amount of current.
During charging, the battery with small capacity is always fully charged first, so that the charging cut-off condition is reached, and the system does not continue to charge. During discharging, the battery with small capacity inevitably discharges all available energy, and the system stops discharging immediately.
Therefore, the battery cell with small capacity is fully charged all the time, and the battery cell with large capacity uses partial capacity all the time. The capacity of the whole battery pack is always in an idle state
2) The life loss, and similarly, the life of the battery pack, is determined by the cell with the shortest life. The most likely cell with the shortest life is the cell with the small capacity. The small-capacity battery cell is fully charged and discharged each time, the output force is too violent, and the service life of the small-capacity battery cell is probably reached first. And the service life of the battery cell is ended all the time, and a group of battery cells welded together follow the life-long sleeping.
3) The internal resistance is increased, the same current flows through different internal resistances, and the battery core with the large internal resistance generates relatively more heat. The deterioration speed is accelerated due to the excessively high temperature of the battery, and the internal resistance is further increased. The internal resistance and the temperature rise form a pair of negative feedback, so that the high internal resistance cell is accelerated to deteriorate.
The three parameters are not completely independent, the internal resistance of the battery cell with deep aging degree is larger, and the capacity attenuation is more. Separately, it is only intended to clarify their respective directions of influence.
How to deal with inconsistencies
The inconsistency of the cell performance is formed in the production process and deepened in the use process. The weak battery cell in the same battery pack is constantly weak and is weakened in acceleration. The discrete degree of the parameters among the single battery cells is increased along with the increase of the aging degree.
Currently, engineers deal with cell inconsistencies, primarily from three aspects. And (4) sorting the single batteries, performing thermal management after grouping, and providing a balancing function by a battery management system when a small amount of inconsistency occurs.
1) Sorting
The cells of different batches are not theoretically put together for use. Even if the cells in the same batch need to be screened, the cells with relatively concentrated parameters are placed in a battery pack and a battery pack.
The purpose of sorting is to select out the electric cores with similar parameters. The sorting method is researched for many years and mainly comprises two categories of static sorting and dynamic sorting.
Static sorting, namely screening characteristic parameters such as open-circuit voltage, internal resistance and capacity of the battery cells, selecting target parameters, introducing a statistical algorithm, setting screening standards, and finally dividing the battery cells of the same batch into a plurality of groups.
The dynamic screening is to screen the characteristics of the battery cell expressed in the charging and discharging process, some select constant-current constant-voltage charging processes, some select pulse impact charging and discharging processes, and some compare the relation between the charging and discharging curves of the battery cell.
And dynamic and static combination sorting, wherein static screening is used for preliminary grouping, and dynamic screening is performed on the basis, so that more groups are classified, the screening accuracy is higher, and the cost is correspondingly increased.
The small size represents the importance of the production scale of the power lithium battery. And large-scale shipment enables manufacturers to perform more precise sorting and obtain battery packs with closer performance. If the yield is too small, the grouping is too much, one batch cannot be equipped with one battery pack, and a better method cannot be implemented.
2) Thermal management
The problem that the heat generated by the electric cores with inconsistent internal resistance is different is solved. The addition of the thermal management system can adjust the temperature difference of the whole battery pack to keep the temperature difference within a small range. Generate the more electric core of heat, still the temperature rise is on the high side, nevertheless can not pull open the difference with other electric cores, obvious difference just can not appear in the degradation level.
3) Equalization
The voltage of some cell terminals always leads other cell terminals due to the inconsistency of the cell monomers, and the control threshold is reached first, so that the capacity of the whole system is reduced. To solve this problem, the battery management system BMS is designed with an equalization function.
When one cell reaches the charge cut-off voltage first and the voltages of other cells are obviously delayed, the BMS starts the charge equalization function, or switches in a resistor to discharge part of the electric quantity of the high-voltage cell or transfers the energy away to the low-voltage cell. Thus, the charge cutoff condition is released, the charging process resumes, and the battery pack charges more charge. However, this method is affected by the balancing ability, has limited effects and risks failure.
Up to now, cell inconsistency remains an important area of research in the industry. The cell energy density is higher, and when inconsistency occurs, the battery pack capacity is greatly reduced, and even serious accidents and disasters are caused. This is one of the great pain points in the industry.
Therefore, a method for performing steady-state management and control on a battery system in a full life cycle is provided to solve the above problems.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the problems occurring in the prior art.
Therefore, the present invention aims to provide a method for performing steady-state management and control on a battery system in a full life cycle, which is based on a machine learning algorithm to realize dynamic estimation of all life stages of all battery cells in the battery system and a battery cell steady-state control algorithm, and combines a single battery cell control module of the present invention to realize dynamic adjustment of estimation and control of life health states of all single battery cells, so as to ensure that all battery cells in the system are always in an optimal steady-state working state in any process of the full life cycle, thereby absolutely preventing problems of overcharge, overdischarge, over temperature, etc. of the battery cells, realizing extension of life people of the battery cells, and maximizing the utilization rate of the battery pack.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
a method for performing full-life steady-state management and control of a battery system, comprising the steps of:
step 1: establishing a voltage differential function model, completing the cycle test of the effective service life of the battery for 3000 times, obtaining differential values dV1 \ 8230of 3000 groups of voltages, \8230anddV 3000, and distributing and arranging the modified sets according to the sequence of 3000 times to form a voltage differential function curve;
step 2: the data acquisition and data analysis in the step 1 are realized through multiple cycles of the battery cell; the VL value under the whole life cycle (for example, 3000 life) of the battery cell can be obtained, and the VL value can be gradually reduced according to the self attenuation of the battery cell; acquiring the following f (VL) function curve through experimental acquisition, and generating a standard model after multiple acquisition and learning;
and step 3: performing life steady-state management on the battery cell, implanting the standard model in the step 2 into a battery cell management module, and constructing a secondary compiling code for a management chip; and secondary intelligent compiling of the battery cell protection threshold value can be carried out according to any cycle number.
As a preferable solution of the method for performing steady-state management and control on a battery system in a full life cycle according to the present invention, the method includes: the test method in the step 1 specifically comprises the following steps: under the assumption of normal temperature, the battery core is charged under the standard working condition (constant current, 0.5C), and data acquisition is carried out on the charging and discharging of the battery core at each time to acquire an object: the cell voltage; acquisition frequency: 10 ms/time; in the experiment, the following can be observed: in the constant current mode, the voltage is gradually increased according to a rule every unit time; until the battery core is saturated;
suppose that: the Sn-th sampling corresponds to the voltage Vn;
sampling for the Sn-1 st time, wherein the sampling corresponds to the voltage Vn-1;
(Vn-Vn-1) is the voltage increment of the Sn-th sampling value to the previous sampling value: comprises the following steps: Δ V/. Δ S.
The method comprises the following steps: within the working range of the cell, the voltage change curve of the cell can be differentiated every step of a unit time, and through differentiation, the change dV of the voltage,
dV＝Δ V /.ΔS.
as a preferable solution of the method for performing steady-state management and control on a battery system in a full life cycle according to the present invention, the method includes: SOH dynamic prediction and optimal steady state management of the whole life cycle of the single battery cell are realized through a SOH life prediction algorithm and a battery cell life steady state management algorithm, so that the characteristics of multiplication of the safety of the battery cell, maximization of the utilization rate and the like are realized; the problems of short wooden barrel plates, capacity diving and the like caused by the problem of single battery cells in the battery pack system are effectively solved, the utilization rate and the safety of the battery pack system are realized to the maximum degree, the service lives of a single-core battery and the whole battery are prolonged, and the economic value is maximized.
As a preferable solution of the method for performing steady-state management and control on a battery system in a full life cycle according to the present invention, the method includes: the electric system comprises three parts, wherein a chip SH367309 and a single chip microcomputer are combined to form a whole acquisition control unit, a battery cell bypass unit is formed by a battery cell bypass integrated circuit, and a power switch unit is formed by a contactor, a pre-charging contactor and the like.
As a preferable solution of the method for performing steady-state management and control on a battery system in a full life cycle according to the present invention, the method includes: the acquisition control unit is a control core, acquires current information on a shunt in the power switch unit by acquiring the voltage and the temperature of each battery cell on the battery cell bypass unit to obtain the state of the battery cell at the moment, substitutes all information acquired in real time into the system, and realizes the prediction of the SOH of the battery cell in any state and generates an optimal steady-state control strategy according to an SOH model generated by a machine learning algorithm and a steady-state control algorithm model, thereby further realizing the real-time management and control of the system on any single battery cell.
As a preferable solution of the method for performing steady-state management and control on a battery system in a full life cycle according to the present invention, the method includes: the acquisition control unit consists of a single chip microcomputer and a battery management chip auxiliary power supply, wherein the battery management chip selects a Zhongying SH367309 chip, and the single chip microcomputer selects a megaly-innovative GD32F303RET6 model ARM. The battery management chip is mainly responsible for acquiring information such as real-time voltage, real-time charging and discharging current, temperature and the like of the battery core and uploading the acquired information to the single chip microcomputer in real time.
As a preferable solution of the method for performing steady-state management and control on a battery system in a full life cycle according to the present invention, the method includes: the single chip microcomputer reads and processes the acquired information of the battery management chip, generates a real-time SOH state of the battery cell through an internal machine learning algorithm model, and intelligently generates an optimal steady-state control strategy of the battery cell through calculation with a standard SOH model in the algorithm model. Through logical algorithm operation, the control module of the single battery cell is driven by an I/O expansion chip, and the action strategy of the single battery cell is realized.
As a preferable solution of the method for performing steady-state management and control on a battery system in a full life cycle according to the present invention, wherein: the auxiliary power supply is a stable 12V power supply converted from the voltage of a battery and supplies power to a relay and a contactor.
Compared with the prior art, the invention has the beneficial effects that:
1. the technology solves the problem that the performance of the overall capacity of the battery can not be influenced even if the batteries are inconsistent. The service life of the battery pack can be greatly prolonged, and the economical efficiency of the battery is improved.
2. The invention can solve the problem that the good battery core can not be fully charged (the short plate effect of the wooden barrel) under the condition of inconsistency of the battery.
3. The invention can solve the problem that the battery pack can not fully release electric energy (the problem of capacity diving) under the condition of inconsistency of the battery.
4. The invention can improve the safety of the battery and effectively control the unsafe problems (out of control, fire, explosion and the like) of the battery cell caused by overcharge, overdischarge, overcurrent and the like.
5. The invention can prolong the service life of the battery, because each battery cell is used in the optimal state, the service life of the battery cell and the battery pack can not be reduced due to the excessive use of part of the battery cells caused by the inconsistency of the battery cells. The overall economy of the battery system is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail with reference to the accompanying drawings and detailed embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic diagram of a voltage differential curve structure of a single cycle of a battery cell of the present invention (a shaded area is a healthy operation interval of the battery cell; VL is a safe voltage critical point of the battery cell; SL is a time point of the critical point in the cycle);
fig. 3 is a schematic diagram illustrating connection between a set of cells (section 8) and a bypass unit according to the present invention;
fig. 4 is a schematic wiring diagram of two groups of cells and a split bypass printed board according to the invention;
fig. 5 is a schematic diagram of a cell bypass according to the present invention;
FIG. 6 is a schematic diagram of the circuit structure of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as specifically described herein, and it will be appreciated by those skilled in the art that the present invention may be practiced without departing from the spirit and scope of the present invention and that the present invention is not limited by the specific details disclosed below.
Next, the present invention will be described in detail with reference to the drawings, wherein for convenience of illustration, the cross-sectional view of the device structure is not enlarged partially according to the general scale, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
To make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Example 1
A method for performing full-life steady-state management and control of a battery system, comprising the steps of:
step 1: establishing a voltage differential function model, completing 3000 times of cycle test of the effective service life of the battery, obtaining 3000 groups of differential values dV1 \ 8230for voltage, \8230dV3000, and distributing and arranging the modified sets according to 3000 times of sequence to form a voltage differential function curve;
step 2: the data acquisition and data analysis in the step 1 are realized through multiple cycles of the battery cell; the VL value under the whole life cycle (for example, 3000 life) of the battery cell can be obtained, and the VL value is gradually reduced according to the self attenuation of the battery cell; acquiring the following f (VL) function curve through experimental acquisition, and generating a standard model after multiple acquisition and learning;
and step 3: performing life steady-state management on the battery cell, implanting the standard model in the step 2 into a battery cell management module, and constructing a secondary compiling code for a management chip; and secondary intelligent compiling of the cell protection threshold value can be carried out according to any cycle number.
Wherein: the test method in the step 1 specifically comprises the following steps: under the assumed normal temperature, charge (constant current, 0.5C) under the standard working condition of the battery core, carry out data acquisition to the charge and discharge of the battery core at every time, and collect the object: cell voltage; acquisition frequency: 10 ms/time; in the experiment, the following can be observed: in the constant current mode, the voltage is gradually increased according to the rule every unit time; until the battery core is saturated;
suppose that: the Sn-th sampling corresponds to the voltage Vn;
sampling for the Sn-1 st time, wherein the sampling corresponds to the voltage Vn-1;
(Vn-Vn-1) is the voltage increment of the Sn th sampling value to the previous sampling value: comprises the following steps: Δ V/. Δ S.
The method comprises the following steps: within the working range of the battery core, each step of a unit time, the voltage change curve of the battery core can be differentiated, and through differentiation, the change dV of the voltage,
dV＝Δ V /.ΔS.
wherein: SOH life prediction algorithm and cell life steady state management algorithm are adopted to realize SOH dynamic prediction and optimal steady state management of the whole life cycle of the single cell, so that the characteristics of doubling the cell safety, maximizing the utilization rate and the like are realized; the problems of wooden barrel short plates, capacity diving and the like caused by the single cell problem in the battery pack system are effectively solved, the utilization rate and the safety of the battery pack system are realized to the maximum degree, the service life of a single cell and the service life of the whole battery pack are prolonged, and the economic value is maximized.
Wherein: the electric system comprises three parts, wherein a chip SH367309 and a single chip microcomputer are combined to form a whole acquisition control unit, a battery cell bypass unit is formed by a battery cell bypass integrated circuit, and a power switch unit is formed by a contactor, a pre-charging contactor and the like.
Wherein: the acquisition control unit is a control core, acquires current information on a shunt in the power switch unit by acquiring the voltage and the temperature of each battery cell on the battery cell bypass unit to obtain the state of the battery cell at the moment, substitutes all information acquired in real time into the system, and realizes the prediction of the SOH of the battery cell in any state and generates an optimal steady-state control strategy according to an SOH model generated by a machine learning algorithm and a steady-state control algorithm model, thereby further realizing the real-time management and control of the system on any single battery cell.
Wherein: the acquisition control unit consists of a single chip microcomputer and a battery management chip auxiliary power supply, wherein the battery management chip selects a Zhongying SH367309 chip, and the single chip microcomputer selects a megaly-innovative GD32F303RET6 model ARM. The battery management chip is mainly responsible for acquiring information such as real-time voltage, real-time charging and discharging current, temperature and the like of the battery core and uploading the acquired information to the single chip microcomputer in real time.
Wherein: the single chip microcomputer reads and processes the acquired information of the battery management chip, generates a real-time SOH state of the battery cell through an internal machine learning algorithm model, and intelligently generates an optimal steady-state control strategy of the battery cell through calculation with a standard SOH model in the algorithm model. And through logical algorithm operation, an I/O expansion chip is adopted to drive the control module of the single battery cell, so that the action strategy of the single battery cell is realized.
Wherein: the auxiliary power supply is a stable 12V power supply converted from the voltage of a battery and supplies power to a relay and a contactor.
The working principle is as follows: by carrying out independent management and control on single battery cells, after series-parallel connection and grouping, through sampling (voltage, current and temperature) of the single battery cells and combining SOC algorithm analysis of the single battery cells, the single battery cell control module realizes the safe temporary isolation of abnormal battery cells (battery cells with poor consistency), and other battery cells in the grouping are not influenced and continue to be charged or discharged; meanwhile, the battery system is stabilized through a rectifying device of the battery pack; the non-bypass electric core in the battery pack can quickly realize high-power current sharing; the whole capacity of the battery pack is fully charged or fully discharged to the maximum extent, and further the capacity of the battery pack or the battery system is utilized to the maximum extent.
During charging: the single battery cell with small capacity is filled first to reach the limit threshold value, and the temporary isolation of the battery cell is realized through the single battery cell control module; and other cells are continuously charged until the cells are normally fully charged (the normal consistent voltage threshold value, the full charge threshold value of the lithium iron cell is 3.5V-3.65V, and the full charge threshold value of the ternary cell is 4.2-4.3V). At this time, the voltages of all the battery cells are within the BMS protection threshold, and the isolation of the previously isolated single battery cells is removed. The whole battery enters a normal full-charge state for later use.
During discharging: the whole battery pack is normally discharged for use, when the battery cells with small monomer capacity are discharged first, the over-discharge protection threshold value is reached, temporary isolation of the battery cells is realized through the monomer battery cell control module, other battery cells of the battery pack continue to normally discharge until the respective protection threshold values are reached, and the BMS system enters a normal under-voltage protection mode.
Overvoltage and undervoltage threshold values of the single battery cell control modules are within the range of the voltage protection threshold value of the whole battery pack of the BMS.
While the invention has been described with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.

Claims (8)

1. A steady state management and control method for a battery system in a full life cycle is characterized in that: the method comprises the following steps:
step 1: establishing a voltage differential function model, completing the cycle test of the effective service life of the battery for 3000 times, obtaining differential values dV1 \ 8230of 3000 groups of voltages, \8230anddV 3000, and distributing and arranging the modified sets according to the sequence of 3000 times to form a voltage differential function curve;
and 2, step: the data acquisition and data analysis in the step 1 are realized through multiple cycles of the battery core; the VL value under the whole life cycle (for example, 3000 life) of the battery cell can be obtained, and the VL value is gradually reduced according to the self attenuation of the battery cell; acquiring the following f (VL) function curve through experimental acquisition, and generating a standard model after multiple acquisition and learning;
and step 3: performing life steady-state management on the battery cell, implanting the standard model in the step 2 into a battery cell management module, and constructing a secondary compiling code for a management chip; and secondary intelligent compiling of the cell protection threshold value can be carried out according to any cycle number.
2. The method of claim 1, wherein the method further comprises the steps of: the test method in the step 1 specifically comprises the following steps: under the assumption of normal temperature, the battery core is charged under the standard working condition (constant current, 0.5C), and data acquisition is carried out on the charging and discharging of the battery core at each time to acquire an object: the cell voltage; acquisition frequency: 10 ms/time; in the experiment, the following can be observed: in the constant current mode, the voltage is gradually increased according to the rule every unit time; until the battery core is saturated;
suppose that: the Sn-th sampling corresponds to the voltage Vn;
sampling for the Sn-1 st time, wherein the sampling corresponds to the voltage Vn-1;
(Vn-Vn-1) is the voltage increment of the Sn th sampling value to the previous sampling value: comprises the following steps: Δ V/. Δ S.
The method comprises the following steps: within the working range of the cell, the voltage change curve of the cell can be differentiated every step of a unit time, and through differentiation, the change dV of the voltage,
dV＝ΔV/.ΔS。
3. the method of claim 1, wherein the method further comprises the steps of: SOH life prediction algorithm and cell life steady state management algorithm are adopted to realize SOH dynamic prediction and optimal steady state management of the whole life cycle of the single cell, so that the characteristics of doubling the cell safety, maximizing the utilization rate and the like are realized; the problems of short wooden barrel plates, capacity diving and the like caused by the problem of single battery cells in the battery pack system are effectively solved, the utilization rate and the safety of the battery pack system are realized to the maximum degree, the service lives of a single-core battery and the whole battery are prolonged, and the economic value is maximized.
4. The method of claim 1, wherein the method further comprises the steps of: the electric system comprises three parts, wherein a chip SH367309 and a single chip microcomputer are combined to form a whole acquisition control unit, a battery cell bypass unit is formed by a battery cell bypass integrated circuit, and a power switch unit is formed by a contactor, a pre-charging contactor and the like.
5. The method of claim 4, wherein the method comprises the steps of: the acquisition control unit is a control core, acquires current information on a shunt in the power switch unit by acquiring the voltage and the temperature of each battery cell on the battery cell bypass unit to obtain the state of the battery cell at the moment, substitutes all information acquired in real time into the system, realizes the prediction of the SOH of the battery cell in any state and generates an optimal steady-state control strategy according to an SOH model generated by a machine learning algorithm and a steady-state control algorithm model, and further realizes the real-time management and control of the system on any single battery cell.
6. The method of claim 4, wherein the method further comprises the steps of: the acquisition control unit consists of a single chip microcomputer and a battery management chip auxiliary power supply, wherein the battery management chip selects a Zhongying SH367309 chip, and the single chip microcomputer selects a megaly-innovative GD32F303RET6 model ARM. The battery management chip is mainly responsible for acquiring information such as real-time voltage, real-time charging and discharging current, temperature and the like of the battery core and uploading the acquired information to the single chip microcomputer in real time.
7. The method of claim 4, wherein the method further comprises the steps of: the single chip microcomputer reads and processes the acquired information of the battery management chip, generates a real-time SOH state of the battery cell through an internal machine learning algorithm model, and intelligently generates an optimal steady-state control strategy of the battery cell through calculation with a standard SOH model in the algorithm model. And through logical algorithm operation, an I/O expansion chip is adopted to drive the control module of the single battery cell, so that the action strategy of the single battery cell is realized.
8. The method of claim 4, wherein the method comprises the steps of: the auxiliary power supply is a stable 12V power supply converted from the voltage of a battery and supplies power to a relay and a contactor.
CN202210554508.0A 2022-05-19 2022-05-19 Steady state management and control method for battery system in full life cycle Pending CN115588786A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116387651A (en) * 2023-05-26 2023-07-04 江苏正力新能电池技术有限公司 Early warning method and system for cell decline in battery pack and maintenance method of battery pack

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116387651A (en) * 2023-05-26 2023-07-04 江苏正力新能电池技术有限公司 Early warning method and system for cell decline in battery pack and maintenance method of battery pack
CN116387651B (en) * 2023-05-26 2023-08-11 江苏正力新能电池技术有限公司 Early warning method and system for cell decline in battery pack and maintenance method of battery pack

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