CN112421735B - Charging and discharging control system and method of battery module - Google Patents

Charging and discharging control system and method of battery module Download PDF

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CN112421735B
CN112421735B CN202011400281.1A CN202011400281A CN112421735B CN 112421735 B CN112421735 B CN 112421735B CN 202011400281 A CN202011400281 A CN 202011400281A CN 112421735 B CN112421735 B CN 112421735B
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battery module
module
charging
temperature
discharging
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CN112421735A (en
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缪清
陈守辉
苏青梅
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AE Solar Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
    • 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
    • H01M10/44—Methods for charging or discharging
    • H01M10/443—Methods for charging or discharging in response to temperature
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
    • H02J7/00038—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange using passive battery identification means, e.g. resistors or capacitors
    • H02J7/00041—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange using passive battery identification means, e.g. resistors or capacitors in response to measured battery parameters, e.g. voltage, current or temperature profile
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007—Regulation of charging or discharging current or voltage
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage using batteries

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  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
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Abstract

The invention discloses a charging and discharging control system and method of a battery module, and belongs to the technical field. The invention relates to a charge-discharge control system of a battery module, which comprises a data acquisition module for acquiring various data; the data classification module is used for classifying data; the data processing module is used for processing data, constructing a function and learning and adjusting; an instruction module for sending instructions; an output module for outputting the result; a controller for emulating and controlling the command module; a charge and discharge control method of a battery module comprises the following steps: s1, establishing a temperature database and recording data; s2, recording the temperature conditions of different regulating instructions; s3, establishing a deep learning function model; s4, calculating a temperature difference value; and S5, self-correction and adjustment are carried out. The invention can improve the accuracy, reduce the historical data amount, control the charge and discharge of the battery module, prolong the service life of the battery module and reduce the danger caused by high temperature.

Description

Charging and discharging control system and method of battery module
Technical Field
The invention relates to the technical field of battery charging and discharging control, in particular to a charging and discharging control system and method of a battery module.
Background
In recent years, with the development and progress of technology, various electronic products are gradually accepted and used, and the reason why the battery module is used as an energy supply for most of the electronic devices at present is that the battery module has a rapid aging degree and a high charging and discharging temperature is an important factor for limiting the application.
Because the application of battery module in life is very frequent, the increase of charge-discharge cycle number can lead to battery module ageing, and the battery module that is close under the condemned condition carries out charge-discharge work and is very easily aroused the explosion, causes the danger. Meanwhile, in the charging and discharging process, the ambient temperatures in different seasons are different, for example, in summer, the temperature is higher, the temperature rising rate of the battery module is higher, the charging and discharging operation is performed at high temperature, great influence is caused on the service life of the battery module, and in extreme cases, even ignition and combustion are caused, so that the charging and discharging control of the battery module is very necessary.
In the current technical means, most of the charge and discharge control only considers the interior of the battery, and does not consider the external environmental factors, so that the error is very large, the service life of the battery module is easily influenced, and a plurality of technical means need to store a large amount of historical data for judgment, and the system does not have self-learning and correction. Therefore, there is a need for a system and a method for controlling charging and discharging of a battery module, which can perform automatic control and self-correction and take into account external environmental factors.
Disclosure of Invention
The present invention is directed to a system and a method for controlling charging and discharging of a battery module, so as to solve the problems of the related art.
In order to solve the technical problems, the invention provides the following technical scheme: a charge and discharge control system of a battery module comprises a data acquisition module, a data classification module, a data processing module, an instruction module, an output module and a controller;
the output end of the data acquisition module is electrically connected with the input end of the data classification module; the output end of the data classification module is electrically connected with the input end of the data processing module; the output end of the instruction module is electrically connected with the input end of the data processing module; the output end of the data processing module is electrically connected with the input end of the controller and the input end of the output module; the output end of the controller is electrically connected with the input end of the instruction module;
the data acquisition module is used for acquiring various data of the battery module; the data classification module is used for classifying according to the acquired data; the data processing module is used for processing data, constructing a function model, carrying out deep learning and carrying out parameter adjustment on the generated deviation; the instruction module is used for sending an instruction; the output module outputs the result; and the controller automatically and intelligently sends an instruction to the instruction module according to the output result of the data processing module.
According to the technical scheme, the data acquisition module comprises a charging and discharging frequency acquisition unit and an environment acquisition unit; the charging and discharging times acquisition unit is used for acquiring the charging and discharging times of the battery module in a standard state and the charging and discharging times of the battery module in a non-standard state; the environment acquisition unit is used for acquiring the environment temperature and the internal temperature of the battery module, and the data acquisition module acquires all data and transmits the data to the data classification module.
According to the technical scheme, the data classification module comprises a battery module aging degree level 1, a battery module aging degree level 2 and a battery module aging degree level 3; the aging degree of the battery module is 1 grade, and the charging and discharging times of the battery module in a standard state are not more than A; the aging degree of the battery module is 2, the charging and discharging times of the battery module in a standard state exceed A and do not exceed B; the aging degree of the battery module is 3, the charging and discharging times of the battery module exceed B in a standard state;
wherein, one-time charge and discharge of the battery module in the non-standard state is equal to K-time charge and discharge of the battery module in the standard state; the charging and discharging temperatures of the battery module are respectively recorded as Q under the standard states of the aging degrees of the battery module at 1, 2 and 3 levels1、Q2、Q3. According to the aging degree of each battery module, the standard temperature is correspondingly given to the battery module, so that the whole system can be more accurate.
According to the technical scheme, the instruction module comprises a power-up instruction unit, a power-down instruction unit and a stopping unit, wherein the power-up instruction unit is used for increasing the charge and discharge power; the low power regulation instruction unit is used for regulating low charge and discharge power; the stop unit is used for stopping charging and discharging operations.
According to the technical scheme, the data processing module comprises a database, a recording unit, a deep learning unit and a function unit; the database is used for storing and calling data; the recording unit is used for recording the environmental temperature and the internal temperature of the battery module when the instruction module sends an instruction; the deep learning unit is used for detecting whether the temperature state of the battery module exceeds or is lower than the charge-discharge temperature of the battery module in the standard state, and performing deep learning and updating feedback on the system; the function unit is used for generating a function model according to the data information;
the recording unit performs the steps of:
s5-1, judging that the command is a command for increasing charge and discharge power, recording the ambient temperature and the internal temperature of the battery module, and recording the ambient temperature and the internal temperature as TOuter height、TInner heightEach time the instructions are recorded as the same group, the number of data groups is recorded as W1；
S5-2, judging that the command is to turn down charging and dischargingPower command, recording ambient temperature and internal temperature of battery module, and recording as TOuter lower、TInner lowerEach time the instructions are recorded as the same group, the number of data groups is recorded as W2；
S5-3, judging that the command is a command for stopping charging and discharging operations, recording the ambient temperature and the internal temperature of the battery module, and recording the ambient temperature and the internal temperature as TExternal stop、TInternal stopEach time the instructions are recorded as the same group, the number of data groups is recorded as W3；
The function model generated by the function unit is a battery module charging and discharging function model, and the method comprises the following steps:
s5-11, obtaining the environmental temperature and the internal temperature of the battery module when the instruction module recorded by the recording unit sends an instruction;
s5-22, respectively performing least square method on each group of data under different instructions to obtain a relation function f (T)i) Multiplied by each group weight
Figure BDA0002812058740000031
Generating a final function model:
Figure BDA0002812058740000032
wherein f (P) is a deviation function influenced by charge and discharge power, TnIs the battery module temperature;
the deep learning unit detects the temperature state of the battery module according to the function model and detects the charging and discharging temperature Q of the battery module under the standard states of 1, 2 and 3 levels of aging degree of the battery module1、Q2、Q3The temperature difference Δ T is calculated, and if Δ T > 0, f (p) ═ f (p) + a, if Δ T < 0, f (p) ═ f (p) — b, and if Δ T ═ 0, f (p) remains unchanged.
According to the technical scheme, the controller controls the instruction module to send artificial instructions according to the ambient temperature, the internal temperature of the battery module and the aging degree of the battery module, the charge and discharge power can be controlled by the instructions, and the temperature abnormality of the battery module is prevented.
A charge and discharge control method of a battery module comprises the following steps:
s1, establishing a temperature database under the condition of optimal battery module charging and discharging, and recording the ambient temperature, the internal temperature of the battery module and the charging and discharging times of the battery module;
s2, storing the charging and discharging conditions under different regulating and controlling instructions, and recording the temperature conditions under different regulating and controlling instructions;
s3, capturing corresponding weights under different control instructions, establishing a deep learning function model, and outputting the charging and discharging temperature of the battery module;
s4, comparing the charging and discharging temperature of the battery module in a standard state according to the charging and discharging times of the battery module and the charging and discharging temperature of the output battery module, and calculating a temperature difference value;
s5, if a temperature difference exists, the controller is used for adjusting the charging and discharging power to adjust the temperature, the deviation function of the charging and discharging power is influenced, and the deep learning model continuously performs self-correction on the temperature of the battery module; if no temperature difference exists, no change is made.
According to the technical scheme, in step S1, the battery modules are classified into aging degrees 1, 2 and 3 according to the charging and discharging times of the battery modules.
According to the technical scheme, in the steps S2-S3, the different regulating and controlling instructions are divided into charging and discharging power increasing, charging and discharging power decreasing and charging and discharging operation stopping.
According to the technical scheme, in the steps S4-S5, when the temperature difference exceeds the temperature threshold value M, the charging and discharging operation is stopped.
Compared with the prior art, the invention has the following beneficial effects: the data acquisition module is used for acquiring data, classifying the data according to the charging and discharging times in a standard state, and then classifying the data according to the aging degrees of the battery modules of levels 1, 2 and 3, so that the processing precision can be improved; utilize data to establish temperature database under the best battery module charge-discharge condition, train data through the mode of independently studying to obtain degree of depth learning function model, constantly carry out the self-adjustment, promote accurate degree, reduced the adverse effect of human thinking limitation to the model operation, adjust charge-discharge power simultaneously, the charge-discharge of control battery module improves the life-span of battery module, reduces the danger that high temperature produced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of a charge and discharge control system of a battery module according to the present invention;
FIG. 2 is a schematic diagram of a data processing module of a charge/discharge control system of a battery module according to the present invention;
FIG. 3 is a schematic diagram illustrating a method for controlling charging and discharging of a battery module according to the present invention;
fig. 4 is a flow chart of a charge and discharge control system of a battery module according to the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides the following technical solutions:
as shown in fig. 1, a charge and discharge control system for a battery module includes a data acquisition module, a data classification module, a data processing module, an instruction module, an output module, and a controller;
the output end of the data acquisition module is electrically connected with the input end of the data classification module; the output end of the data classification module is electrically connected with the input end of the data processing module; the output end of the instruction module is electrically connected with the input end of the data processing module; the output end of the data processing module is electrically connected with the input end of the controller and the input end of the output module; the output end of the controller is electrically connected with the input end of the instruction module;
the data acquisition module is used for acquiring various data of the battery module; the data classification module is used for classifying according to the acquired data; the data processing module is used for processing data, constructing a function model, carrying out deep learning and carrying out parameter adjustment on the generated deviation; the instruction module is used for sending an instruction; the output module outputs the result; and the controller automatically and intelligently sends an instruction to the instruction module according to the output result of the data processing module.
According to the technical scheme, the data acquisition module comprises a charging and discharging frequency acquisition unit and an environment acquisition unit; the charging and discharging times acquisition unit is used for acquiring the charging and discharging times of the battery module in a standard state and the charging and discharging times of the battery module in a non-standard state; the environment acquisition unit is used for acquiring the environment temperature and the internal temperature of the battery module, and the data acquisition module acquires all data and transmits the data to the data classification module.
According to the technical scheme, the data classification module comprises a battery module aging degree level 1, a battery module aging degree level 2 and a battery module aging degree level 3; the aging degree of the battery module is 1 grade, and the charging and discharging times of the battery module in a standard state are not more than A; the aging degree of the battery module is 2, the charging and discharging times of the battery module in a standard state exceed A and do not exceed B; the aging degree of the battery module is 3, the charging and discharging times of the battery module exceed B in a standard state;
wherein, one-time charge and discharge of the battery module in the non-standard state is equal to K-time charge and discharge of the battery module in the standard state; the charging and discharging temperatures of the battery module are respectively recorded as Q under the standard states of the aging degrees of the battery module at 1, 2 and 3 levels1、Q2、Q3. According to the aging degree of each battery module, the standard temperature is correspondingly given to the battery module, so that the whole system can be more accurate.
According to the technical scheme, the instruction module comprises a power-up instruction unit, a power-down instruction unit and a stopping unit, wherein the power-up instruction unit is used for increasing the charge and discharge power; the low power regulation instruction unit is used for regulating low charge and discharge power; the stop unit is used for stopping charging and discharging operations.
As shown in fig. 2, the data processing module includes a database, a recording unit, a deep learning unit, and a function unit; the database is used for storing and calling data; the recording unit is used for recording the environmental temperature and the internal temperature of the battery module when the instruction module sends an instruction; the deep learning unit is used for detecting whether the temperature state of the battery module exceeds or is lower than the charge-discharge temperature of the battery module in the standard state, and performing deep learning and updating feedback on the system; the function unit is used for generating a function model according to the data information;
the recording unit performs the steps of:
s5-1, judging that the command is a command for increasing charge and discharge power, recording the ambient temperature and the internal temperature of the battery module, and recording the ambient temperature and the internal temperature as TOuter height、TInner heightEach time the instructions are recorded as the same group, the number of data groups is recorded as W1；
S5-2, judging that the command is a command for reducing charge and discharge power, recording the ambient temperature and the internal temperature of the battery module, and recording the ambient temperature and the internal temperature as TOuter lower、TInner lowerEach time the instructions are recorded as the same group, the number of data groups is recorded as W2；
S5-3, judging that the command is a command for stopping charging and discharging operations, recording the ambient temperature and the internal temperature of the battery module, and recording the ambient temperature and the internal temperature as TExternal stop、TInternal stopEach time the instructions are recorded as the same group, the number of data groups is recorded as W3；
In the present embodiment, a is set to 100; b is 300; k is 2; q1＝60℃；Q2＝55℃；Q3The temperature is 50 ℃; namely, the aging degree of the battery module is 1 grade, the charging and discharging times of the battery module under the standard state are not more than 100 times, and the charging and discharging temperature under the standard state is 60 ℃; the aging degree of the battery module 2 is that the charging and discharging times of the battery module in a standard state exceed 100 times but do not exceed 300 times, and the charging and discharging temperature of the battery module in the standard state is 55 ℃; the charging and discharging times of the battery module in the standard state of 3-grade aging degree of the battery module exceed 300 timesThe charging and discharging temperature is 50 ℃ in the standard state; one-time charge and discharge of the battery module in the non-standard state is equal to 2-time charge and discharge of the battery module in the standard state;
substituting the weights according to the historical data set to calculate a function f (T)i) F (P); finally generating a function model:
Figure BDA0002812058740000071
the deep learning unit detects the temperature state of the battery module according to the function model, calculates the charging and discharging temperature of the battery module under the standard states of the aging degrees of the battery module at levels of 1, 2 and 3 to obtain a temperature difference value delta T, and if delta T is larger than 0, f (P) a, if delta T is smaller than 0, f (P) b, and if delta T is 0, f (P) is kept unchanged.
According to the result, the controller control instruction module sends a manual instruction, and the instruction is used for controlling the charging and discharging power so as to prevent the temperature of the battery module from being abnormal.
As shown in fig. 3, a method for controlling charging and discharging of a battery module includes the following steps:
s1, establishing a temperature database under the condition of optimal battery module charging and discharging, and recording the ambient temperature, the internal temperature of the battery module and the charging and discharging times of the battery module;
s2, storing the charging and discharging conditions under different regulating and controlling instructions, and recording the temperature conditions under different regulating and controlling instructions;
s3, capturing corresponding weights under different control instructions, establishing a deep learning function model, and outputting the charging and discharging temperature of the battery module;
s4, comparing the charging and discharging temperature of the battery module in a standard state according to the charging and discharging times of the battery module and the charging and discharging temperature of the output battery module, and calculating a temperature difference value;
s5, if a temperature difference exists, the controller is used for adjusting the charging and discharging power to adjust the temperature, the deviation function of the charging and discharging power is influenced, and the deep learning model continuously performs self-correction on the temperature of the battery module; if no temperature difference exists, no change is made.
According to the technical scheme, in step S1, the battery module is divided into aging degrees of 1, 2 and 3 according to the charging and discharging times of the battery module, and the charging and discharging temperature of the battery module in a standard state is established.
According to the technical scheme, in the steps S2-S3, the different regulating and controlling instructions are divided into charging and discharging power increasing, charging and discharging power decreasing and charging and discharging operation stopping.
According to the technical scheme, in the steps S4-S5, when the temperature difference exceeds the temperature threshold value M, the charging and discharging operation is stopped.
The working principle of the invention is as follows: the method comprises the steps of collecting data by using a data collection module, classifying according to charging and discharging times in a standard state, carrying out classified data processing according to the aging degrees 1, 2 and 3 of the battery modules, establishing a temperature database under the charging and discharging conditions of the optimal battery module by using the data, training the data in an autonomous learning mode, obtaining a deep learning function model, continuously carrying out self-adjustment, improving the accuracy degree, adjusting the charging and discharging power, controlling the charging and discharging of the battery module, prolonging the service life of the battery module and reducing the danger caused by high temperature.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (6)

1. The utility model provides a charge-discharge control system of battery module which characterized in that: the system comprises a data acquisition module, a data classification module, a data processing module, an instruction module, an output module and a controller;
the output end of the data acquisition module is electrically connected with the input end of the data classification module; the output end of the data classification module is electrically connected with the input end of the data processing module; the output end of the instruction module is electrically connected with the input end of the data processing module; the output end of the data processing module is electrically connected with the input end of the controller and the input end of the output module; the output end of the controller is electrically connected with the input end of the instruction module;
the data acquisition module is used for acquiring various data of the battery module; the data classification module is used for classifying according to the acquired data; the data processing module is used for processing data, constructing a function model, carrying out deep learning and carrying out parameter adjustment on the generated deviation; the instruction module is used for sending an instruction; the output module outputs the result; the controller automatically and intelligently sends an instruction to the instruction module according to the output result of the data processing module;
the data acquisition module comprises a charging and discharging frequency acquisition unit and an environment acquisition unit; the charging and discharging times acquisition unit is used for acquiring the charging and discharging times of the battery module in a standard state and the charging and discharging times of the battery module in a non-standard state; the environment acquisition unit is used for acquiring the environment temperature and the internal temperature of the battery module;
the data classification module comprises a battery module aging degree level 1, a battery module aging degree level 2 and a battery module aging degree level 3; the aging degree of the battery module is 1 grade, and the charging and discharging times of the battery module in a standard state are not more than A; the aging degree of the battery module is 2, the charging and discharging times of the battery module in a standard state exceed A and do not exceed B; the aging degree of the battery module is 3, the charging and discharging times of the battery module exceed B in a standard state;
wherein, one-time charge and discharge of the battery module in the non-standard state is equal to K-time charge and discharge of the battery module in the standard state; the charging and discharging temperatures of the battery module are respectively recorded as Q under the standard states of the aging degrees of the battery module at 1, 2 and 3 levels1、Q2、Q3；
The instruction module comprises a high power adjustment instruction unit, a low power adjustment instruction unit and a stop unit, wherein the high power adjustment instruction unit is used for adjusting the high charge and discharge power; the low power regulation instruction unit is used for regulating low charge and discharge power; the stopping unit is used for stopping charging and discharging operations;
the data processing module comprises a database, a recording unit, a deep learning unit and a function unit; the database is used for storing and calling data; the recording unit is used for recording the environmental temperature and the internal temperature of the battery module when the instruction module sends an instruction; the deep learning unit is used for detecting whether the temperature state of the battery module exceeds or is lower than the charge-discharge temperature of the battery module in the standard state, and performing deep learning and updating feedback on the system; the function unit is used for generating a function model according to the data information;
the recording unit performs the steps of:
s5-1, judging that the command is a command for increasing charge and discharge power, recording the ambient temperature and the internal temperature of the battery module, and recording the ambient temperature and the internal temperature as TOuter height、TInner heightEach time the instructions are recorded as the same group, the number of data groups is recorded as W1；
S5-2, judging that the command is a command for reducing charge and discharge power, recording the ambient temperature and the internal temperature of the battery module, and recording the ambient temperature and the internal temperature as TOuter lower、TInner lowerEach time the instructions are recorded as the same group, the number of data groups is recorded as W2；
S5-3, judging that the command is a command for stopping charging and discharging operations, recording the ambient temperature and the internal temperature of the battery module, and recording the ambient temperature and the internal temperature as TExternal stop、TInternal stopEach time the instructions are recorded as the same group, the number of data groups is recorded as W3；
The function model generated by the function unit is a battery module charging and discharging function model, and the method comprises the following steps:
s5-11, obtaining the environmental temperature and the internal temperature of the battery module when the instruction module recorded by the recording unit sends an instruction;
s5-22, respectively performing least square method on each group of data under different instructions to obtain a relation function f (T)i) Multiplied by each group weight
Figure FDA0003052772500000031
Generating a final function model:
Figure FDA0003052772500000032
wherein f (P) is a deviation function influenced by charge and discharge power, TnIs the battery module temperature;
the deep learning unit detects the temperature state of the battery module according to the function model and detects the charging and discharging temperature Q of the battery module under the standard states of 1, 2 and 3 levels of aging degree of the battery module1、Q2、Q3The temperature difference Δ T is calculated, and if Δ T > 0, f (p) ═ f (p) + a, if Δ T < 0, f (p) ═ f (p) — b, and if Δ T ═ 0, f (p) remains unchanged.
2. The charge and discharge control system of a battery module according to claim 1, characterized in that: the controller controls the instruction module to send out artificial instructions according to the environmental temperature, the internal temperature of the battery module and the aging degree of the battery module.
3. A charge-discharge control method of a battery module is characterized in that: the method comprises the following steps:
s1, establishing a temperature database under the condition of optimal battery module charging and discharging, and recording the ambient temperature, the internal temperature of the battery module and the charging and discharging times of the battery module;
s2, storing the charging and discharging conditions under different regulating and controlling instructions, and recording the temperature conditions under different regulating and controlling instructions;
s3, capturing corresponding weights under different control instructions, establishing a deep learning function model, and outputting the charging and discharging temperature of the battery module;
s4, comparing the charging and discharging temperature of the battery module in a standard state according to the charging and discharging times of the battery module and the charging and discharging temperature of the output battery module, and calculating a temperature difference value;
s5, if a temperature difference exists, the controller is used for adjusting the charging and discharging power to adjust the temperature, the deviation function of the charging and discharging power is influenced, and the deep learning model continuously performs self-correction on the temperature of the battery module; if no temperature difference exists, no change is made.
4. The charge and discharge control method of a battery module according to claim 3, characterized in that: in step S1, the battery modules are classified into aging degrees 1, 2, and 3 according to the number of times the battery modules are charged and discharged.
5. The charge and discharge control method of a battery module according to claim 3, characterized in that: in steps S2-S3, the different control commands are divided into charging and discharging power adjustment up, charging and discharging power adjustment down, and charging and discharging operation stopping.
6. The charge and discharge control method of a battery module according to claim 3, characterized in that: in steps S4-S5, when the temperature difference exceeds the temperature threshold M, the stop of the charge and discharge operation is performed.
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