CN117096476A - Battery grouping method and device, electronic equipment and storage medium - Google Patents
Battery grouping method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN117096476A CN117096476A CN202311362152.1A CN202311362152A CN117096476A CN 117096476 A CN117096476 A CN 117096476A CN 202311362152 A CN202311362152 A CN 202311362152A CN 117096476 A CN117096476 A CN 117096476A
- Authority
- CN
- China
- Prior art keywords
- battery
- retired
- application
- preset
- retired battery
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000012360 testing method Methods 0.000 claims description 20
- 238000012545 processing Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 9
- 230000006978 adaptation Effects 0.000 abstract description 9
- 238000004146 energy storage Methods 0.000 description 34
- 239000000178 monomer Substances 0.000 description 13
- 230000008569 process Effects 0.000 description 11
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 8
- 238000010586 diagram Methods 0.000 description 8
- 229910052744 lithium Inorganic materials 0.000 description 8
- 238000007599 discharging Methods 0.000 description 7
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 238000011161 development Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 229920000642 polymer Polymers 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 229920001897 terpolymer Polymers 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000004064 recycling Methods 0.000 description 3
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013016 damping Methods 0.000 description 2
- 230000006798 recombination Effects 0.000 description 2
- 238000005215 recombination Methods 0.000 description 2
- 238000011282 treatment Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000002238 attenuated effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 229910052751 metal Inorganic materials 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 150000002739 metals Chemical class 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000011269 treatment regimen Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
-
- 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
- H01M10/4221—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells with battery type recognition
Abstract
The application is suitable for the technical field of electronics, and provides a battery grouping method, a battery grouping device, electronic equipment and a storage medium, wherein the method comprises the steps of obtaining use information of retired batteries; determining an attenuation coefficient of the retired battery according to the use information of the retired battery; determining an application strategy of the retired battery according to the attenuation coefficient and a preset grouping scheme; the method has the advantages that the attenuation degree of the retired battery can be determined through analyzing the use information of the retired battery, the preliminary utilization direction of the battery is determined according to the attenuation degree of the retired battery, and the final application strategy of the retired battery is determined by combining a preset grouping scheme, so that the retired battery in different states can be adaptively grouped according to actual application requirements when the retired battery is grouped, and the adaptation degree of a battery grouping result and the actual application requirements is improved.
Description
Technical Field
The application belongs to the technical field of energy storage, and particularly relates to a grouping method and device of batteries, electronic equipment and a storage medium.
Background
Green low carbon is a major direction of new energy technology development, and with the continuous development of new energy technology, new energy automobiles are increasingly applied to aspects of life. With the consequent generation of a large number of retired batteries.
In order to improve energy utilization and to protect the environment, retired batteries may be used in electrical power systems, for example in energy storage plants. However, due to the fact that the retired batteries have the characteristics of different specifications, various battery models and varieties, in the practical application process, the retired batteries need to be grouped when being applied, the retired batteries which can be utilized in whole packages are utilized in whole packages, and the batteries which cannot be utilized in whole packages are disassembled and recombined.
However, the current battery grouping method has a problem of low adaptation degree with the actual application requirements.
Disclosure of Invention
The embodiment of the application provides a battery grouping method, a battery grouping device, electronic equipment and a storage medium, which can enable a sorting result of retired batteries to be more fit with actual application requirements and improve the adaptation degree of the sorting result and the actual application.
The embodiment of the application provides a battery grouping method, which comprises the following steps:
Obtaining the use information of the retired battery;
determining an attenuation coefficient of the retired battery according to the use information of the retired battery;
determining an application strategy of the retired battery according to the attenuation coefficient and a preset grouping scheme; the preset grouping scheme is determined according to application requirements.
According to the application, the attenuation degree of the retired battery can be determined firstly by analyzing the use information of the retired battery, the preliminary utilization direction of the battery is determined according to the attenuation degree of the retired battery, and the final application strategy of the retired battery is determined by combining a preset grouping scheme, so that the retired battery in different states can be adaptively grouped according to actual application requirements when the retired battery is grouped, and the adaptation degree of a battery grouping result and the actual application requirements is improved.
In a possible implementation manner of the first aspect, the determining, according to the attenuation coefficient and a preset grouping scheme, an application policy of the retired battery includes:
determining the application direction of the retired battery according to the attenuation coefficient and a preset matching coefficient;
and adjusting the application direction of the retired battery according to the preset grouping scheme, and determining the application strategy of the retired battery.
In the application, after the application direction is preliminarily determined, the application direction of the preset grouping scheme can be adjusted, so that the grouping strategy (application strategy) of the battery can be further attached to the actual application requirement, and the adaptation degree of the grouping result and the application requirement of the battery is improved.
In a possible implementation manner of the first aspect, the preset matching coefficient is set according to a battery type, and before the determining, according to the attenuation coefficient and the preset matching coefficient, an application direction of the retired battery, the method further includes:
obtaining the battery type of the retired battery;
and acquiring the preset matching coefficient according to the battery type.
In the application, different preset matching coefficients are set for different types of retired batteries, so that the battery grouping method provided by the embodiment of the application can carry out adaptive grouping adjustment for different types of retired batteries, and the accuracy of battery grouping is further improved.
In a possible implementation manner of the first aspect, the method further includes:
testing the retired battery according to preset charge and discharge conditions; the preset charge and discharge conditions are set according to application requirements;
And adjusting the application strategy of the retired battery according to the test result.
According to the application, the secondary test is carried out on the retired battery by setting the preset charge and discharge conditions according to the application requirements, so that the accuracy of the retired battery grouping can be further verified and improved, and the application strategy of the retired battery can be adjusted according to the test result, so that the suitability of the grouping result of the retired battery to the actual application requirements is further improved.
In a possible implementation manner of the first aspect, the usage information of the retired battery includes nameplate information of the retired battery and historical operation data of the retired battery.
In a possible implementation manner of the first aspect, the determining the attenuation coefficient of the retired battery according to the usage information of the retired battery includes:
extracting a battery parameter value with a preset dimension from the use information;
and inputting the battery parameter value with the preset dimension into the attenuation coefficient calculation model of the retired battery for processing to obtain the attenuation coefficient of the retired battery.
According to the device and the mechanism, the automatic assembly of the retired battery in the power grid can be conveniently realized, the labor cost is saved, the potential safety hazard caused by human assembly errors can be reduced, and the safety of the energy storage power plant is improved.
In a possible implementation manner of the first aspect, the battery parameter value of the preset dimension includes at least one of the following:
the battery capacity after the battery is fully charged, the service time of the battery, the equilibrium state parameter of the battery, the maximum battery core capacity of the battery and the minimum battery core capacity of the battery.
In a second aspect, the present application provides a grouping apparatus for a battery, comprising:
the acquisition unit is used for acquiring the use information of the retired battery;
a first determining unit, configured to determine an attenuation coefficient of the retired battery according to usage information of the retired battery;
the second determining unit is used for determining the application strategy of the retired battery according to the attenuation coefficient and a preset grouping scheme; the preset grouping scheme is determined according to application requirements.
In a third aspect, an embodiment of the present application provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing a method according to any one of the first aspects described above when the computer program is executed by the processor.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which when executed by a processor performs a method as in any of the first aspects above.
In a fifth aspect, an embodiment of the present application provides a chip system, including a processor, the processor being coupled to a memory, the processor executing a computer program stored in the memory to implement a method as described in any one of the first aspects above. The chip system can be a single chip or a chip module composed of a plurality of chips.
In a sixth aspect, embodiments of the present application provide a computer program product for, when run on an electronic device, causing the electronic device to perform the method of any one of the first aspects described above.
It will be appreciated that the advantages of the second to sixth aspects may be found in the relevant description of the first aspect, and are not described here again.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an energy storage plant according to an embodiment of the present application;
fig. 2 is a schematic flow chart of an implementation of a method for grouping batteries according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another implementation of a grouping method of batteries according to an embodiment of the present application;
fig. 4 is a schematic implementation flow diagram of S103 in the battery grouping method according to the embodiment of the present application;
fig. 5 is a schematic flow chart of another implementation of S103 in the method for grouping batteries according to the embodiment of the present application;
fig. 6 is a schematic structural view of a grouping apparatus for batteries according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in the present description and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Furthermore, the terms "first," "second," "third," and the like in the description of the present specification and in the appended claims, are used for distinguishing between descriptions and not necessarily for indicating or implying a relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The green low carbon is called as the main direction of new energy technology development, with the continuous development of new energy technology, new energy is increasingly applied to the aspects of life, and a plurality of retired batteries can be generated. The retired batteries cannot meet the power supply requirement of new energy equipment due to the attenuation of battery performance, and normally, when the capacity of the power battery is attenuated to 70% -80% of the rated capacity, the requirements of the endurance mileage cannot be met, and the retired batteries enter a retired stage. The recycling of the retired batteries can improve the energy utilization rate and reduce the pollution to the environment.
The retired battery is mostly applied to an electric power system and provides an energy storage function for a power plant, wherein energy storage refers to a process of storing energy through a medium or equipment and releasing the energy when needed, such as power guarantee for a power grid, smoothing the power grid, peak clipping and valley filling and the like.
The retired battery has the characteristics of different specifications, various battery models and various varieties, and in the practical application process, the retired battery is required to be sorted when being applied so as to realize the gradient utilization of the retired battery. At present, the process of sorting batteries basically comprises the steps of disassembling retired batteries into battery modules or battery monomers, then when the disassembled battery modules or battery monomers are needed to be put into an energy storage power plant for use, forming a battery pack by the disassembled battery modules or battery monomers, and then putting the battery pack into the energy storage power plant for working. However, at present, the processing mode is single for the utilization modes of retired batteries in different types and different states, disassembly and recombination are needed, and the problem of low processing efficiency exists.
Based on the above, the embodiment of the application provides a battery grouping method, which includes that the attenuation degree of the retired battery is determined through analyzing the use information of the retired battery, the preliminary utilization direction of the battery is determined according to the attenuation degree of the retired battery and a preset matching coefficient, and the application strategy of the retired battery is determined by combining a preset grouping scheme, so that the retired battery in different types and states can be adaptively grouped according to actual application requirements when being grouped, and the adaptation degree of the battery grouping result and the actual application requirements is improved.
The battery processing method provided by the embodiment of the application can be applied to electronic equipment such as a server, a notebook computer, an ultra-mobile personal computer (UMPC) and the like which can realize the determination of the battery processing strategy. The embodiment of the application does not limit the specific type of the electronic equipment.
Referring to fig. 1, fig. 1 shows a schematic structural diagram of an energy storage power plant according to an embodiment of the present application.
As shown in fig. 1, the energy storage power plant may include a plurality of battery packs, each battery pack includes a retired battery for supplying power, the battery types in the same battery pack are the same, the battery capacities/energies belong to the same capacity/energy class, the battery is the retired battery after being processed by the same processing strategy, and it is assumed that, by way of example, the battery pack 1 in fig. 1 may include a plurality of battery types that are terpolymer lithium batteries, with a nominal energy of 33kWh, and are retired batteries after being processed by the whole package by using the corresponding processing strategy; the battery pack 2 may comprise a plurality of battery types, lithium iron phosphate batteries, with a nominal energy of 300kWh, and retired batteries after being subjected to a single split with a corresponding treatment strategy.
In this embodiment, the execution body of the battery grouping method may specifically be the electronic device 11, where the electronic device 11 may receive usage information of each retired battery, where the usage information may include that the electronic device 11 may analyze attenuation degrees of the retired battery according to the usage information of the retired battery, so as to determine a grouping situation and a processing policy of the retired battery.
In a specific application, the energy storage power plant in the embodiment of the application refers to a power plant which uses retired batteries as raw materials to provide electric energy service for a power grid, wherein the retired batteries can be power batteries retired in new energy automobiles. It will be appreciated that the retired battery described above may of course also comprise other types of retired batteries.
Referring to fig. 2, fig. 2 shows an implementation schematic of a battery grouping method according to an embodiment of the present application. As shown in fig. 2, the method for grouping batteries provided by the embodiment of the application may include the following steps:
s101: and acquiring the use information of the retired battery.
In this embodiment, the usage information of the retired battery includes, but is not limited to, nameplate information of the retired battery and historical operation data of the retired battery.
The nameplate information of the retired battery can be related nameplate content when the retired battery leaves the factory, and the battery model of the retired battery and the rated power, the rated charge-discharge voltage, the rated charge-discharge current and other electrical parameters of the retired battery can be determined through the nameplate information. Under normal circumstances, the nameplate information can be determined through the nameplate of the battery, and in general, when the battery leaves a factory, parameters such as the type, rated power, rated charge-discharge voltage, rated charge-discharge current and the like of the battery can be recorded through the nameplate, so that the nameplate information of the battery can be determined only by checking the nameplate of the battery, and the nameplate information of the battery can be determined according to the electricity consumption requirement of the same electric equipment or according to the batteries of the same type produced in the same batch for the battery which is damaged or missing by the nameplate.
The historical operation data of the retired battery comprise application scenes (such as application in a power automobile, application in an electric bicycle and the like) of the retired battery, and various battery parameters of the retired battery in the application process, such as parameters of charge and discharge current, battery core temperature, battery core charge state, balance parameters and the like in the historical operation process.
The retired battery mentioned in the embodiment of the application refers to a battery box or a battery pack which is retired from electric equipment such as a power automobile and the like and is not subjected to any treatment. In general, a battery management system (battery management system, BMS) is disposed in the battery box/pack to manage and maintain the battery in the battery box, so as to monitor the situation that the battery is overcharged or overdischarged, so as to prolong the service life of the battery, and the BMS may further have a function of recording and storing data, i.e. recording and downloading state data in the running process of the battery in the battery box, such as charge and discharge current, battery core temperature, battery core charge state, and equalization parameters in the historical running process.
The above-mentioned obtaining of the historical operation data of the retired battery may be specifically achieved by obtaining the historical operation data recorded by the BMS in the battery box/pack of the retired battery, that is, after obtaining the retired battery, reading the state data recorded and stored in the BMS in the retired battery during the historical operation of the battery in the battery box/pack. Specifically, the historical operation data recorded and stored in the BMS may be read out through a data line connection, a data reading, and the like, and transmitted to the server through an uploading, and the like, so that the server can obtain the historical operation data.
In some embodiments, on the premise that the battery box/battery pack has a data uploading function, the operation data of the battery box/battery pack may be directly uploaded to the server, so that after the retired battery enters the energy storage factory, the server may obtain the historical operation data related to the retired battery through the flag information related to the retired battery.
In some implementations, if the operational data of the battery box/pack is not recorded and saved by the BMS module, the historical operational data associated with the retired battery may be obtained through the module that records and saves the historical operational data of the battery box/pack.
S102: and determining the attenuation coefficient of the retired battery according to the use information of the retired battery.
Wherein the attenuation coefficient is used for representing the attenuation degree of the retired battery, and the attenuation coefficient can be determined based on parameter values of multiple dimensions.
The parameter values for the plurality of dimensions may include: the battery capacity after the battery is fully charged, the service time of the battery, the equilibrium state parameter of the battery, the maximum battery core capacity of the battery, the minimum battery core capacity of the battery and the like.
In some implementations, the battery capacity after the battery is fully charged may be compared to the rated battery capacity of the battery to determine the damping coefficient of the battery.
Illustratively, the above-mentioned decay factor = battery capacity/rated battery capacity after the battery is fully charged 100%; or a damping coefficient= (1-battery capacity after full charge)/rated battery capacity 100%, etc.
It should be noted that, in the practical application process, the relationship between the attenuation coefficient and the attenuation degree may be a direct proportional relationship or an inverse proportional relationship, and the relationship between the attenuation coefficient and the attenuation degree may be determined according to the type of the relevant parameter of the attenuation coefficient used for calculation in the practical application and a calculation model used, for example, the attenuation coefficient=the battery capacity/rated battery capacity after the battery is fully charged, where the attenuation coefficient and the attenuation degree are in an inverse proportional relationship, that is, the higher the attenuation coefficient of the battery is, the smaller the attenuation degree of the battery is, and the better the battery state is. Further, if the above-mentioned attenuation coefficient= (1-battery capacity after fully charged)/rated battery capacity is 100%, the higher the attenuation coefficient of the battery is, the greater the attenuation degree of the battery is, and the worse the battery state is.
In some implementations, the attenuation coefficient of the battery may also be determined by calculating a difference between the maximum battery cell capacity and the minimum battery cell capacity based on the maximum battery cell capacity and the minimum battery cell capacity of the battery, and then comparing the difference with the rated single battery cell capacity.
In some implementation manners, the attenuation coefficient of the battery can be comprehensively determined by integrating the battery capacity after the battery is fully charged, the service time of the battery, the equilibrium state parameter of the battery, the maximum battery core capacity of the battery, the minimum battery core capacity of the battery and other dimensions, for example, the attenuation degree is smaller when the battery capacity after the battery is fully charged is closer to the rated battery capacity, and the calculated attenuation coefficient is smaller when the attenuation coefficient is in a calculation model with a proportional relation with the attenuation degree; the longer the service time of the battery is, the greater the attenuation degree is, and the greater the calculated attenuation coefficient is aiming at a calculation model with the direct proportional relation between the attenuation coefficient and the attenuation degree; the higher the equilibrium state parameter (the better the equilibrium state) of the battery is, the smaller the attenuation degree is, and the smaller the calculated attenuation coefficient is aiming at a calculation model with the proportional relation between the attenuation coefficient and the attenuation degree; the greater the difference between the maximum cell capacity of the battery and the minimum cell capacity of the battery, the higher the attenuation degree of the battery, and the greater the calculated attenuation coefficient is for a calculation model in which the attenuation coefficient and the attenuation degree are in a proportional relationship.
In some embodiments, different weight coefficients may also be set for parameters of multiple dimensions, and the sum of all weight coefficients is 1. The weight coefficient of the parameters in each dimension can be set according to different requirements, for example, for a scene with a higher requirement on the equilibrium state, the weight coefficient corresponding to the parameters in the equilibrium state can be set higher, and the weight coefficients corresponding to other parameters can be set lower.
S103: and determining the application strategy of the retired battery according to the attenuation coefficient and a preset grouping scheme.
In a specific application, the application direction of the battery can be determined according to the attenuation coefficient of the battery.
In a specific application, the preset grouping scheme may be set according to an application requirement, for example, for an energy storage power plant providing a specification of "5MW/10MWh" aiming at a power supply requirement, the preset grouping scheme may be set as follows: the stack is divided into a first group and a second group, wherein the first group can be a ternary polymer lithium battery pack with nominal energy of 70kWh, and the second group is a 16-string lithium iron phosphate battery module with nominal capacity of 280 Ah. As another example, for an energy storage plant providing a specification of "35MW/100MWh" for power supply requirements, the preset grouping scheme may be set to: the battery stack is divided into a first group and a second group, wherein the first group can be a lithium iron phosphate battery with nominal energy of 300kWh, and the second group can be a terpolymer lithium battery with nominal energy of 100kWh of a passenger car. As another example, for a power plant providing energy storage with a specification of "500MW/1.2GWh" for power supply requirements, the preset grouping scheme may be set to: the battery stack is divided into a first group, a second group and a third group, wherein the first group can be a lithium iron phosphate battery pack with the nominal energy of 350kWh, the second group can be a passenger car terpolymer lithium battery module with the nominal energy of 33kWh, and the third group can be a passenger car lithium iron phosphate battery pack with the nominal energy of 60 kWh.
The energy storage power plant with the specification of "5MW/10MWh" refers to an energy storage power plant with the power (transmission power) of 5MW during charging and discharging, the energy storage rated capacity of 10MWh, the energy storage power plant with the specification of "35MW/100MWh" refers to an energy storage power plant with the transmission power of 35MW, the energy storage rated capacity of 100MWh, and the energy storage power plant with the specification of "500MW/1.2GWh" refers to an energy storage power plant with the transmission power of 500MW and the energy storage rated capacity of 1.2 GWh.
In a specific application, different processing strategies may be set for different application directions. For example, for the application direction of whole packet utilization, a processing policy may be set as: the BMS in the battery pack/battery box is removed, original connection and installation modes of the battery module inside the battery pack are reserved, and when the battery pack/battery box is required to be used, the removed battery pack/battery box can be installed in a battery carrier which is correspondingly arranged, so that the battery pack/battery box is connected into an energy storage system, and the energy storage system is scheduled by a control module of the energy storage system. For another example, for the application direction utilized by the module, a processing policy may be set as: the battery pack/battery box is disassembled into a plurality of battery modules, the battery modules meeting the recycling requirement are disassembled, and the available battery monomers are obtained to be utilized, so that the scrapped battery monomers are scrapped. As another example, for the application direction of monomer utilization, a processing policy may be set as: and disassembling the battery pack/battery box into a plurality of battery modules, disassembling each battery cell unit in the battery modules, and carrying out scrapping treatment on scrapped battery cells.
As can be seen from the above, according to the battery grouping method provided by the embodiment of the application, the attenuation degree of the retired battery can be determined by analyzing the use information of the retired battery, the preliminary utilization direction of the battery is determined according to the attenuation degree of the retired battery, and the final application strategy of the retired battery is determined by combining with the preset grouping scheme, so that the retired battery in different states can be adaptively grouped according to the actual application requirements when being grouped, and the adaptation degree of the battery grouping result and the actual application requirements is improved.
In some embodiments, for one application requirement, a plurality of preset grouping schemes may be set, and different preset grouping schemes may include combinations of different battery packs, for example, how to combine batteries with different rated capacities/rated energies, so that the battery packs in the preset grouping schemes can meet the application requirement when in use.
It should be noted that, in order to reduce the disassembly operation on the retired battery and improve the processing efficiency, when determining the preset grouping scheme according to the application requirement, the battery pack utilized by the whole package can be considered as preferentially as possible, and under the condition that the whole package of battery does not meet the application requirement, a mode of module or monomer recombination can be selected to form a battery module or a battery string which meets the battery grouping scheme.
In a specific application, the application requirements may include a power supply requirement and an energy storage requirement. The power supply requirement is that the energy storage power plant carrying the retired battery needs to provide the electric energy with which specification, and the energy storage requirement is that the energy storage power plant carrying the retired battery can store the electric energy with which specification.
Referring to fig. 3, fig. 3 is a schematic flow chart illustrating an implementation of a battery grouping method according to another embodiment of the application. As shown in fig. 3, in some embodiments, the method for grouping batteries may further include the following steps after S103:
s104: testing the retired battery according to preset charge and discharge conditions;
s105: and adjusting the application strategy of the retired battery according to the test result.
In a specific application, the preset charge and discharge conditions may be set according to application requirements, for example, the discharge conditions may be set according to power supply requirements, and the charge conditions may be set according to energy storage requirements. The discharging condition may be that the retired battery is discharged at a preset discharging voltage for a first preset time period, and the charging condition may be that the retired battery is charged at a preset charging voltage for a second preset time period. The first preset time period, the second preset time period, the preset discharging voltage and the preset charging voltage can be determined according to actual application requirements.
Of course, the preset charge and discharge conditions can also be set with different test temperatures, so as to test the performance of the retired battery under different test temperatures.
The test result of the retired battery can comprise the battery temperature change condition, the battery internal resistance change condition, the battery charge-discharge curve and the like in the charge-discharge process.
In a specific application, if the test result shows that the retired battery cannot meet the requirements (such as the balance requirement, the temperature requirement, etc.) under the preset charge and discharge conditions, the application strategy of the retired battery can be adjusted. The application strategy of the retired battery is determined to be an application strategy of whole package utilization according to the attenuation coefficient of the retired battery and a preset grouping scheme, however, after the battery is tested under the preset charge and discharge conditions, the battery is found to be tested, and the test result of the battery shows that the battery cannot meet the requirement, so that the application strategy of the retired battery can be adjusted to be used as a module, and then the battery module obtained after disassembling the whole package and/or the battery module obtained after disassembling the whole package is tested based on the corresponding preset charge and discharge conditions, so that whether the battery module can meet the requirement is determined.
In a specific application, the equalization characteristic parameters of the retired battery in the charging and discharging process can be determined according to the charging and discharging curve, and then whether the retired battery meets the equalization requirement or not is determined according to the equalization requirement of the battery in a preset grouping scheme.
In a specific application, it may be determined whether the temperature requirement is met based on the battery temperature during charge and discharge. The above-mentioned temperature requirement may specifically be that the highest temperature of the battery during charging and discharging cannot exceed the battery temperature threshold value, etc.
The above battery temperature threshold may be determined according to an actual application scenario, which is not particularly limited by the present application.
As can be seen from the above, according to the embodiment of the application, the secondary test is performed on the retired battery by setting the preset charge and discharge conditions according to the application requirements, so that the accuracy of grouping the retired battery can be further verified and improved, and the application strategy of the retired battery can be adjusted according to the test result, so that the suitability of the grouping result of the retired battery to the actual application requirements is further improved.
In an embodiment of the present application, referring to fig. 4, fig. 4 is a schematic implementation flow diagram of S103 in the method for grouping batteries provided in the embodiment of the present application, and as shown in fig. 4, the step S103 may specifically include the following steps:
s1031: determining the application direction of the retired battery according to the attenuation coefficient and a preset matching coefficient;
s1032: and adjusting the application direction of the retired battery according to a preset grouping scheme, and determining the application strategy of the retired battery.
The preset matching coefficient refers to a preset parameter for determining the attenuation degree of the battery.
In a specific application, the calculated attenuation coefficient can be matched with a preset matching coefficient, so that the application direction of the retired battery can be determined. The application direction comprises whole package utilization, module utilization and monomer utilization.
In specific application, corresponding preset matching coefficients can be set according to different application directions, a plurality of preset matching coefficient intervals are determined based on the preset matching coefficients, and the application direction of the retired battery is determined according to the matching condition of the attenuation coefficient and the preset matching coefficient intervals.
It should be noted that the preset matching coefficient interval refers to a plurality of numerical intervals between 0% and 100% divided by the preset matching coefficient.
For example, assume that 3 preset matching coefficients are set, 0-100% is divided into 4 preset matching coefficient intervals, which are respectively 0 to 1, 1 to 2, 2 to 3, and 3 to 100%, wherein 100% > 3> 2> 1>0. If the calculated attenuation coefficient is between the preset matching coefficient 1 and the preset matching coefficient 2, the attenuation coefficient is considered to be matched with the preset matching coefficient 1, and the application direction is confirmed to be integrally utilized. If the calculated attenuation coefficient is between the preset matching coefficient 2 and the preset matching coefficient 3, the attenuation coefficient is considered to be matched with the preset matching coefficient 2, the application direction is confirmed to be module utilization, and if the calculated attenuation coefficient is between the preset matching coefficient and 100%, the attenuation coefficient is considered to be matched with the preset matching coefficient 3, and the application direction is confirmed to be monomer utilization.
In some embodiments, the retired battery may be degraded too severely to be used, and at this time, the unavailable retired battery may be scrapped and decomposed, and the available part (such as some metals) in the retired battery may be extracted for recycling, for example, if the degradation coefficient is within a preset matching coefficient interval between preset matching coefficients 3 and 100, the retired battery is considered to be unavailable.
For example, assuming that the preset matching coefficient corresponding to the single body is 75%, the preset matching coefficient corresponding to the module is 60%, the preset matching coefficient corresponding to the whole package is 50%, and if the attenuation coefficient of the retired battery obtained by calculation is 76%, the application direction of the retired battery can be considered as the whole package utilization.
It should be noted that in the above embodiment, the attenuation coefficient corresponding to the more serious attenuation is larger, and in other embodiments, the attenuation coefficient corresponding to the more serious attenuation may be set smaller, and also different preset matching coefficients may be set for different application directions, and then the attenuation coefficient calculated by the retired battery is matched with the preset matching coefficient, so as to determine the application direction of the retired battery.
In a specific application, after the attenuation coefficient of the battery is determined, the application direction of the battery can be preliminarily determined according to the attenuation coefficient, and in order to enable the retired battery to be more suitable for practical application, the preliminary application direction of the retired battery can be adjusted according to a preset grouping scheme, so that a final application strategy of the retired battery is obtained.
By way of example, assuming that the retired battery is a ternary polymer lithium battery of battery type, the nominal energy is 33kWh, the attenuation coefficient of the battery is 75%, assuming that the overall package utilization requirement attenuation coefficient is greater than or equal to 75%, the application direction is primarily determined to be overall package utilization, assuming that the first package in the preset grouping scheme is a passenger vehicle ternary polymer lithium battery of nominal energy 33kWh (no limitation is made here to be overall package or module/monomer), thus keeping the application direction of selecting overall package utilization unchanged, and performing subsequent operations based on the overall package utilization mode; assuming that the first group in the preset grouping scheme is a riding ternary polymer lithium battery module with the nominal energy of 33hWh, the application direction of the battery can be adjusted to be module utilization, and subsequent operation is performed based on the mode of module utilization.
As can be seen from the above, after the application direction is primarily determined, the grouping method of the battery provided by the embodiment of the application can be adjusted according to the application direction of the preset grouping scheme, so that the grouping strategy (application strategy) of the battery can be further attached to the actual application requirement, and the adaptation degree of the grouping result and the application requirement of the battery is improved.
In an embodiment of the application, different preset matching coefficients may be set according to the battery type, based on which, as shown in fig. 5, the step S1031 may further include the following steps:
s1033: obtaining the battery type of the retired battery;
s1034: and acquiring a preset matching coefficient according to the battery type.
In a specific application, since the battery characteristics of the batteries of different types are different, different preset matching coefficients can be set according to the different battery types, and after the battery type of the retired battery is determined, the application direction of the retired battery can be determined based on the preset matching coefficient corresponding to the battery type.
In a specific application, the server may determine the type of battery based on the usage information of the retired battery. The preset matching coefficients of different battery types can be stored in advance in an address accessible to the server, after the type of the battery is determined, the server can acquire the preset matching coefficient corresponding to the battery type by accessing the address, and the application direction of the retired battery is determined based on the preset matching coefficient corresponding to the battery type.
For lithium iron phosphate batteries, for example, a model of the relationship between the attenuation coefficient and the attenuation degree in a direct proportion (i.e., the greater the attenuation coefficient, the more serious the attenuation of the battery), the corresponding preset matching coefficient may be set to be 50% for the whole pack, 60% for the module, 80% for the monomer, 40% for the terpolymer lithium battery for passenger, 60% for the module, 75% for the monomer, and so on. If the battery is determined to be a lithium iron phosphate battery according to the nameplate information of the retired battery, the preset matching coefficient can be determined to specifically comprise: 50% (whole package utilizes corresponding preset matching coefficients), 60% (module utilizes corresponding preset matching coefficients), and 80% (monomer utilizes corresponding preset matching coefficients).
The above can show that different preset matching coefficients are set for different types of retired batteries, so that the battery grouping method provided by the embodiment of the application can carry out adaptive grouping adjustment for different types of retired batteries, and further improve the accuracy of battery grouping.
In this embodiment, fig. 6 is a block diagram of a battery grouping device according to an embodiment of the present application, where the battery grouping device includes units for executing the steps implemented by the generating device in the corresponding embodiment of fig. 2. Please refer to fig. 2 and the related description of the embodiment corresponding to fig. 2. For convenience of explanation, only the portions related to the present embodiment are shown.
Referring to fig. 6, the battery grouping device is applied to an energy storage power plant, the energy storage power plant comprises a plurality of battery packs configured with retired batteries, the batteries in the same battery pack are the same in type, the battery capacities/energies belong to the same capacity/energy level, and the batteries are retired batteries processed by the same processing strategy; the grouping device 60 of the battery includes:
the acquiring unit 61 is configured to acquire usage information of the retired battery;
a first determining unit 62 for determining an attenuation coefficient of the retired battery according to the use information of the retired battery;
the second determining unit 63 is configured to determine an application policy of the retired battery according to the attenuation coefficient and a preset grouping scheme; the preset grouping scheme is determined according to application requirements.
In some implementations, the second determining unit 63 includes a direction determining unit and a first adjusting unit. Wherein:
the direction determining unit is used for determining the application direction of the retired battery according to the attenuation coefficient and a preset matching coefficient;
the first adjusting unit is used for adjusting the application direction of the retired battery according to the preset grouping scheme and determining the application strategy of the retired battery.
In some embodiments, the preset matching coefficient is set according to a battery type. The above-described first determination unit 62 further includes a type acquisition unit and a coefficient acquisition unit. Wherein:
the type acquisition unit is used for acquiring the battery type of the retired battery;
the coefficient acquisition unit is used for acquiring the preset matching coefficient according to the battery type.
In some embodiments, the grouping device of batteries further includes a test unit and a second adjustment unit. Wherein:
the testing unit is used for testing the retired battery according to preset charge and discharge conditions; the preset charge and discharge conditions are set according to application requirements.
The second adjusting unit is used for adjusting the application strategy of the retired battery according to the test result.
In some embodiments, the first determining unit may include a parameter acquiring unit and a calculating unit. Wherein:
The parameter acquisition unit is used for extracting battery parameter values with preset dimensions from the use information;
the calculating unit is used for inputting the battery parameter value with the preset dimension into the attenuation coefficient calculating model of the retired battery for processing to obtain the attenuation coefficient of the retired battery.
It should be understood that, in the block diagram of the battery grouping device shown in fig. 6, each module is configured to perform each step in the embodiment corresponding to fig. 1 to 5, and each step in the embodiment corresponding to fig. 1 to 5 has been explained in detail in the foregoing embodiment, and specific reference is made to fig. 1 to 5 and related descriptions in the embodiment corresponding to fig. 1 to 7, which are not repeated herein.
Based on the above, the battery grouping device provided by the embodiment of the application can also analyze the use information of the retired batteries, determine the attenuation degree of the retired batteries, determine the preliminary utilization direction of the batteries according to the attenuation degree of the retired batteries, and determine the final application strategy of the retired batteries by combining a preset grouping scheme, so that the retired batteries in different states can be adaptively grouped according to actual application requirements when being grouped, and the adaptation degree of the battery grouping result and the actual application requirements is improved.
Fig. 7 is a block diagram of an electronic device according to another embodiment of the present application. As shown in fig. 7, the electronic apparatus 700 of this embodiment includes: a processor 710, a memory 720, and a computer program 730 stored in the memory 720 and executable on the processor 710, such as a program for evaluating a method of generating a report. The steps in the embodiments of the method for battery management described above, such as S101 to S103 shown in fig. 2, are implemented by the processor 710 when executing the computer program 730. Alternatively, the processor 710 may perform the functions of the modules in the embodiment corresponding to fig. 7, for example, the functions of the units 61 to 63 shown in fig. 6, when executing the computer program 730, and refer to the related description in the embodiment corresponding to fig. 6.
By way of example, computer program 730 may be partitioned into one or more modules that are stored in memory 720 and executed by processor 710 to perform the present application. One or more of the modules may be a series of computer program instruction segments capable of performing particular functions for describing the execution of the computer program 730 in the electronic device 700. For example, the computer program 730 may be divided into individual unit modules, each module functioning specifically as described above.
The electronic device 700 may include, but is not limited to, a processor 710, a memory 720. It will be appreciated by those skilled in the art that fig. 7 is merely an example of an electronic device 700 and is not intended to limit the electronic device 700, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., an electronic device may further include an input-output device, a network access device, a bus, etc.
The processor 710 may be a central processing unit, as well as other general purpose processors, digital signal processors, application specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or any conventional processor or the like.
Memory 720 may be an internal storage unit of electronic device 700, such as a hard disk or memory of electronic device 700. The memory 720 may also be an external storage device of the electronic device 700, such as a plug-in hard disk, a smart memory card, a flash memory card, etc. provided on the electronic device 700. Further, the memory 720 may also include both internal and external storage units of the electronic device 700.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other manners. For example, the apparatus/network device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (9)
1. A method of grouping batteries, comprising:
obtaining the use information of the retired battery;
determining an attenuation coefficient of the retired battery according to the use information of the retired battery;
determining an application strategy of the retired battery according to the attenuation coefficient and a preset grouping scheme; the preset grouping scheme is determined according to application requirements;
Wherein, the determining the application policy of the retired battery according to the attenuation coefficient and the preset grouping scheme includes:
determining the application direction of the retired battery according to the attenuation coefficient and a preset matching coefficient;
and adjusting the application direction of the retired battery according to the preset grouping scheme, and determining the application strategy of the retired battery.
2. The grouping method of the batteries according to claim 1, wherein the preset matching coefficient is set according to a battery type, and further comprising, before the determining the application direction of the retired battery according to the attenuation coefficient and the preset matching coefficient:
obtaining the battery type of the retired battery;
and acquiring the preset matching coefficient according to the battery type.
3. The grouping method of batteries according to claim 1 or 2, characterized in that the method further comprises:
testing the retired battery according to preset charge and discharge conditions; the preset charge and discharge conditions are set according to application requirements;
and adjusting the application strategy of the retired battery according to the test result.
4. The battery grouping method according to claim 1 or 2, wherein the usage information of the retired battery includes nameplate information of the retired battery and historical operation data of the retired battery.
5. The method of grouping batteries according to claim 4, wherein said determining the attenuation coefficient of the retired battery according to the usage information of the retired battery comprises:
extracting a battery parameter value with a preset dimension from the use information;
and inputting the battery parameter value with the preset dimension into the attenuation coefficient calculation model of the retired battery for processing to obtain the attenuation coefficient of the retired battery.
6. The method of grouping batteries according to claim 5, wherein the battery parameter values of the predetermined dimension comprise at least one of:
the battery capacity after the battery is fully charged, the service time of the battery, the equilibrium state parameter of the battery, the maximum battery core capacity of the battery and the minimum battery core capacity of the battery.
7. A battery grouping apparatus, comprising:
the acquisition unit is used for acquiring the use information of the retired battery;
a first determining unit, configured to determine an attenuation coefficient of the retired battery according to usage information of the retired battery;
the second determining unit is used for determining the application strategy of the retired battery according to the attenuation coefficient and a preset grouping scheme; the preset grouping scheme is determined according to application requirements, and the determining the application strategy of the retired battery according to the attenuation coefficient and the preset grouping scheme comprises the following steps: determining the application direction of the retired battery according to the attenuation coefficient and a preset matching coefficient; and adjusting the application direction of the retired battery according to the preset grouping scheme, and determining the application strategy of the retired battery.
8. An electronic device comprising a processor and a memory, the processor and memory coupled, the memory for storing a computer program that, when executed by the processor, causes the electronic device to perform the steps of the method of any of claims 1 to 6.
9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a computer program which, when run on a computer, causes the computer to perform the steps of the method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311362152.1A CN117096476B (en) | 2023-10-20 | 2023-10-20 | Battery grouping method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311362152.1A CN117096476B (en) | 2023-10-20 | 2023-10-20 | Battery grouping method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117096476A true CN117096476A (en) | 2023-11-21 |
| CN117096476B CN117096476B (en) | 2024-01-30 |
Family
ID=88777401
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311362152.1A Active CN117096476B (en) | 2023-10-20 | 2023-10-20 | Battery grouping method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117096476B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117117941A (en) * | 2023-10-20 | 2023-11-24 | 珠海中力新能源科技有限公司 | Energy storage power plant |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103138019A (en) * | 2013-01-28 | 2013-06-05 | 佛山市邦普循环科技有限公司 | Waste energy echelon utilization method of power battery for electric vehicle |
| CN107946685A (en) * | 2017-11-01 | 2018-04-20 | 深圳市泰力废旧电池回收技术有限公司 | A kind of intelligent processing method of old and useless battery |
| CN110350562A (en) * | 2019-07-15 | 2019-10-18 | 国网江苏省电力有限公司镇江供电分公司 | A kind of energy-accumulating power station |
| CN110350621A (en) * | 2019-07-15 | 2019-10-18 | 爱驰汽车有限公司 | Battery modules recombination method and echelon obtained utilize battery modules |
| CN111239629A (en) * | 2020-02-28 | 2020-06-05 | 山东理工大学 | Echelon utilization state interval division method for retired lithium battery |
| CN112051512A (en) * | 2020-09-09 | 2020-12-08 | 傲普(上海)新能源有限公司 | Echelon utilization sorting method and energy storage system |
| CN114693096A (en) * | 2022-03-22 | 2022-07-01 | 武汉科技大学 | Power battery cascade utilization decision method and system based on scene matching |
| CN115061058A (en) * | 2022-06-10 | 2022-09-16 | 衢州职业技术学院 | Method and system for measuring and calculating gradient utilization residual life of retired power battery |
| CN115301559A (en) * | 2022-06-30 | 2022-11-08 | 苏州市职业大学 | Efficient screening and sorting method and system for recycling retired batteries |
| CN115602949A (en) * | 2022-09-23 | 2023-01-13 | 广东邦普循环科技有限公司（Cn） | Screening method for gradient use of waste batteries |
-
2023
- 2023-10-20 CN CN202311362152.1A patent/CN117096476B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103138019A (en) * | 2013-01-28 | 2013-06-05 | 佛山市邦普循环科技有限公司 | Waste energy echelon utilization method of power battery for electric vehicle |
| CN107946685A (en) * | 2017-11-01 | 2018-04-20 | 深圳市泰力废旧电池回收技术有限公司 | A kind of intelligent processing method of old and useless battery |
| CN110350562A (en) * | 2019-07-15 | 2019-10-18 | 国网江苏省电力有限公司镇江供电分公司 | A kind of energy-accumulating power station |
| CN110350621A (en) * | 2019-07-15 | 2019-10-18 | 爱驰汽车有限公司 | Battery modules recombination method and echelon obtained utilize battery modules |
| CN111239629A (en) * | 2020-02-28 | 2020-06-05 | 山东理工大学 | Echelon utilization state interval division method for retired lithium battery |
| CN112051512A (en) * | 2020-09-09 | 2020-12-08 | 傲普(上海)新能源有限公司 | Echelon utilization sorting method and energy storage system |
| CN114693096A (en) * | 2022-03-22 | 2022-07-01 | 武汉科技大学 | Power battery cascade utilization decision method and system based on scene matching |
| CN115061058A (en) * | 2022-06-10 | 2022-09-16 | 衢州职业技术学院 | Method and system for measuring and calculating gradient utilization residual life of retired power battery |
| CN115301559A (en) * | 2022-06-30 | 2022-11-08 | 苏州市职业大学 | Efficient screening and sorting method and system for recycling retired batteries |
| CN115602949A (en) * | 2022-09-23 | 2023-01-13 | 广东邦普循环科技有限公司（Cn） | Screening method for gradient use of waste batteries |
Non-Patent Citations (1)
| Title |
|---|
| 谭志龙;刘涛;刘俊峰;: "基于新型功率架构的退役动力电池储能系统在配网中的应用", 云南电力技术, no. 06 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117117941A (en) * | 2023-10-20 | 2023-11-24 | 珠海中力新能源科技有限公司 | Energy storage power plant |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117096476B (en) | 2024-01-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117096476B (en) | Battery grouping method and device, electronic equipment and storage medium | |
| Vaideeswaran et al. | Battery management systems for electric vehicles using lithium ion batteries | |
| CN106451592A (en) | Battery charging and discharging control method, battery charging and discharging control device and electric car | |
| CN101964018A (en) | SOC estimation method of battery of electric vehicle | |
| CN112051512B (en) | Echelon utilization sorting method and energy storage system | |
| CN112622693A (en) | Battery management method and device and vehicle | |
| Zhang et al. | Study on battery pack consistency evolutions during electric vehicle operation with statistical method | |
| US11831716B2 (en) | System and method for communication between BMSs | |
| CN114415037A (en) | Battery pack abnormal cell positioning and identifying method, system, equipment and medium | |
| CN112366708A (en) | Charging management method, device, equipment and storage medium | |
| CN116224075A (en) | Power battery monomer abnormality early warning method and device, electronic equipment and storage medium | |
| CN108832187B (en) | Design method of lithium ion battery based on energy storage requirement of new energy automobile | |
| CN112003349A (en) | BMS control system of energy storage system | |
| CN112397798A (en) | Power battery management system and matching method | |
| CN111463504B (en) | Equalization algorithm for maintaining battery module | |
| CN116008834A (en) | Battery monitoring operation and maintenance method, system, equipment and medium of mobile energy storage system | |
| CN115808632A (en) | Battery consistency detection method, detection device, computer equipment and storage medium | |
| CN112285568B (en) | Method for estimating residual discharge time based on energy state of power lithium battery | |
| CN114597990A (en) | Battery system control method, device, electronic equipment and storage medium | |
| CN108321447B (en) | Multi-battery scheduling method and system based on state of charge equilibrium approximation algorithm | |
| CN108512262B (en) | Energy storage battery management system and equalization method and device thereof | |
| CN117117941B (en) | Energy storage power plant | |
| CN115811119B (en) | Method and device for managing battery | |
| CN118024953A (en) | Management method, program product and battery management system for vehicle power battery | |
| CN114325394B (en) | Method, system, equipment and medium for estimating battery stack SOC |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |