CN114069796A - Active equalization control method, device, equipment and medium for battery pack - Google Patents
Active equalization control method, device, equipment and medium for battery pack Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 47
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- 230000036541 health Effects 0.000 claims description 7
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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
- H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
- H02J7/0014—Circuits for equalisation of charge between batteries
- H02J7/0019—Circuits for equalisation of charge between batteries using switched or multiplexed charge circuits
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
-
- 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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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The application discloses a battery pack active equalization control method, a battery pack active equalization control device and a battery pack active equalization control medium. By means of big data matching, objective reference can be provided for the active equalization control strategy amount of the battery pack, and the technical problem that the equalization control effect is unstable due to the fact that the accuracy of a traditional active equalization control decision is affected by subjective factors of technicians is solved.
Description
Technical Field
The present disclosure relates to the field of battery pack technologies, and in particular, to a battery pack active equalization control method, apparatus, device, and medium.
Background
The cells produced in the same batch have slight differences in capacity, voltage, internal resistance and self-discharge rate, and the differences are gradually amplified as the battery is used for a longer time. However, the capacity of the battery pack is determined by the string of cells with the lowest energy, so that the function of maintaining cell consistency by using the equalization control is indispensable.
At present, the equalization circuit of the battery pack mainly has two types, namely active equalization and passive equalization, wherein the active equalization circuit is divided into an energy transfer type and an energy conversion type. The energy transfer type circuit adopts a method of compensating the capacity of the battery, namely, a battery with high capacity takes out some electric quantity to compensate the battery with low capacity. Such circuits are relatively complex, bulky and costly. In addition, the energy transfer is realized through an energy storage medium, and certain consumption and control problems exist. The energy conversion type circuit completes energy conversion through the DCDC principle.
The traditional active equalization control decision is usually made by professional technicians according to self experience knowledge, so that the accuracy of the active equalization control decision is influenced by subjective factors of the technicians, the equalization control effect is unstable, and the inappropriate control decision easily causes the inconsistency of equalization of each single battery, causes equalization errors and influences the service life of a battery pack.
Disclosure of Invention
The application provides a battery pack active equalization control method, device, equipment and medium, which are used for solving the technical problem that the accuracy of an active equalization control decision is influenced by subjective factors of technicians to cause unstable equalization control effect because a traditional active equalization control decision is usually made by professional technicians according to self experience knowledge.
The first aspect of the present application provides a battery pack active equalization control method, which is applied to big data server equipment, wherein the method includes:
in response to a received battery pack active equalization control request, extracting battery pack parameters contained in the battery pack active equalization control request, wherein the battery pack parameters comprise: the battery pack active equalization control request is sent by a control unit of the battery pack to be equalized;
according to the battery pack parameters, matching a reference battery pack from the battery pack balance control data in combination with battery pack balance control data stored in the big data server side equipment, wherein the battery pack balance control data is formed by summarizing the big data server side equipment according to the balance control parameters of the obtained multiple battery packs and the battery pack parameters, and the reference battery pack is the battery pack with the highest similarity between the battery pack parameters in the battery pack balance control data and the battery pack to be balanced;
and feeding back the balance control parameters corresponding to the reference battery pack to the control unit so that the control unit can perform active balance control on the battery pack to be balanced according to the balance control parameters.
Preferably, the model parameters include: battery type parameters, specification parameters, and rated electrical parameters.
Preferably, the status parameters include: actual electrical parameters, charge and discharge times, remaining capacity, and battery health.
Preferably, the method further comprises the following steps:
and when the number of the reference battery packs is multiple, comparing the balance control effect coefficients of the reference battery packs, and determining a target reference battery pack according to the comparison result, wherein the balance control effect coefficients are obtained by calculation according to the state parameters of the reference battery packs.
Preferably, the method further comprises the following steps:
and regularly acquiring the balance control parameters and the battery pack parameters of the battery pack so as to update the balance control data of the battery pack based on the acquired balance control parameters and the battery pack parameters.
Preferably, the equalization control parameter is in particular an equalization current.
Preferably, the feeding back the equalization control parameter corresponding to the reference battery pack to the control unit, so that the active equalization control performed on the battery pack to be equalized by the control unit according to the equalization control parameter specifically includes:
and feeding back the balance current corresponding to the reference battery pack to the control unit, so that the control unit calculates the balance control quantity of each single battery according to the balance current and by combining the actual current parameters of each single battery in the battery pack to be balanced, and active balance control is performed according to the balance control quantity.
This application second aspect provides a group battery initiative equalization control device based on big data, sets up at big data server side equipment, the device includes:
an active equalization request response unit, configured to extract, in response to a received battery pack active equalization control request, a battery pack parameter included in the battery pack active equalization control request, where the battery pack parameter includes: the battery pack active equalization control request is sent by a control unit of the battery pack to be equalized;
the reference battery pack matching unit is used for matching a reference battery pack from the battery pack balance control data according to the battery pack parameters and by combining the battery pack balance control data stored in the big data server side equipment, wherein the battery pack balance control data is formed by summarizing the balance control parameters and the battery pack parameters of the plurality of acquired battery packs by the big data server side equipment, and the reference battery pack is the battery pack with the highest similarity between the battery pack parameters and the battery pack to be balanced in the battery pack balance control data;
and the balance control parameter feedback unit is used for feeding back the balance control parameters corresponding to the reference battery pack to the control unit so that the control unit can carry out active balance control on the battery pack to be balanced according to the balance control parameters.
A third aspect of the present application provides a big data server device, including: a memory and a processor;
the memory is used for storing program codes, and the program codes correspond to the battery pack active equalization control method provided by the first aspect of the application;
the processor is configured to execute the program code.
A fourth aspect of the present application provides a computer-readable storage medium having stored therein program codes corresponding to the battery pack active equalization control method as provided in the first aspect of the present application.
According to the technical scheme, the embodiment of the application has the following advantages:
the method utilizes the battery pack balance control data pre-stored in the big data server side equipment, when a received battery pack active balance control request is received, matching a reference battery pack similar to the battery pack to be equalized from the battery pack equalization control data according to the battery pack parameters contained in the battery pack active equalization control request, then the equalization control parameter of the reference battery pack is fed back to the control unit of the battery pack to be equalized, the scheme provided by the application can provide objective reference for the formulation of the active equalization control strategy of the battery pack through a big data matching mode, solves the problem that the traditional active equalization control decision is usually made by professional technicians according to self experience knowledge, the accuracy of the active equalization control decision is influenced by subjective factors of technicians to cause unstable equalization control effect.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or 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 it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic diagram of an overall architecture among a big data server device, a control unit, and a battery pack provided in the present application.
Fig. 2 is a schematic flowchart of an embodiment of a battery active equalization control method provided in the present application.
Fig. 3 is a schematic flowchart of another embodiment of a battery active equalization control method provided in the present application.
Fig. 4 is a schematic structural diagram of an embodiment of an active equalization control device of a battery pack provided in the present application.
Detailed Description
The embodiment of the application provides a battery pack active equalization control method, device, equipment and medium, which are used for solving the technical problem that the accuracy of an active equalization control decision is influenced by subjective factors of technicians to cause unstable equalization control effect because a traditional active equalization control decision is usually made by professional technicians according to experience knowledge.
In order to make the objects, features and advantages of the present invention more apparent and understandable, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the embodiments described below are only a part of the embodiments of the present application, 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 application.
The overall architecture among the big data server device, the control unit, and the battery pack provided by the first embodiment of the present application is shown in fig. 1, where the battery pack is connected to a battery pack balancing control assembly, and the battery pack balancing control assembly includes: the control unit is connected with the battery pack and the battery pack balance control assembly and is used for acquiring relevant parameters of the battery pack and controlling the battery pack balance control assembly to execute active balance control; the big data server device in this embodiment is connected to the control unit through the wireless communication module, and the big data server device includes: a memory and a processor; the memory is used for storing program codes, and the program codes correspond to the battery pack active equalization control method provided by the application; the processor is used for executing the program codes and feeding back the equalization control parameters to the control unit according to the battery pack active equalization control method provided by the application, so that the control unit can implement active equalization control on the battery pack according to the received equalization control parameters.
The above content is a detailed description of the overall architecture among the big data server device, the control unit and the battery pack provided by the solution of the present application, and the following content is a detailed description of an embodiment of a battery pack active equalization control method provided by the present application.
Referring to fig. 2, an embodiment of the present application provides a battery pack active equalization control method, where the method is applied to a big data server device side mentioned in the previous embodiment, and the method specifically includes:
Wherein the battery pack parameters include: the battery pack active equalization control request is sent by a control unit of the battery pack to be equalized.
It should be noted that, when a certain battery pack needs to perform active equalization control, the control unit of the battery pack to be equalized acquires battery pack parameters of the battery pack to be equalized, generates a battery pack active equalization control request, and then sends the battery pack active equalization control request to the big data server device through the communication network, and the big data server device extracts battery pack parameters included in the battery pack active equalization control request in response to the received battery pack active equalization control request, so as to perform subsequent steps.
And 102, matching a reference battery pack from the battery pack balance control data according to the battery pack parameters and by combining the battery pack balance control data stored in the big data server side equipment.
The battery pack balance control data is formed by the big data server side equipment according to the obtained balance control parameters of the plurality of battery packs and the battery pack parameters in a summary mode, and the reference battery pack is the battery pack with the highest similarity between the battery pack parameters in the battery pack balance control data and the battery pack to be balanced.
In step 102, the big data server device matches a reference battery pack most similar to the battery pack to be equalized from the big data of the battery pack equalization control according to the extracted battery pack parameters and through the battery pack equalization control data stored in the big data server device.
And 103, feeding back the balance control parameters corresponding to the reference battery pack to the control unit so that the control unit can perform active balance control on the battery pack to be balanced according to the balance control parameters.
And feeding back the balance control parameters corresponding to the reference battery pack to the control unit so that the control unit can control the balance control assembly of the battery pack to be balanced according to the balance control parameters to realize active balance control of the battery pack to be balanced.
The method utilizes the battery pack balance control data pre-stored in the big data server side equipment, when a received battery pack active balance control request is received, matching a reference battery pack similar to the battery pack to be equalized from the battery pack equalization control data according to the battery pack parameters contained in the battery pack active equalization control request, then the equalization control parameter of the reference battery pack is fed back to the control unit of the battery pack to be equalized, the scheme provided by the application can provide objective reference for the formulation of the active equalization control strategy of the battery pack through a big data matching mode, solves the problem that the traditional active equalization control decision is usually made by professional technicians according to self experience knowledge, the accuracy of the active equalization control decision is influenced by subjective factors of technicians to cause unstable equalization control effect.
The above is a detailed description of a first embodiment of a battery active equalization control method provided in the present application, and the following is a detailed description of a second embodiment of the battery active equalization control method provided in the present application.
Referring to fig. 3, a third embodiment of the present application further provides, based on the content of the second embodiment, a method for controlling active equalization of a battery pack, including:
further, the model parameters include: battery type parameters, specification parameters, and rated electrical parameters.
Further, the state parameters include: actual electrical parameters, charge and discharge times, remaining capacity, and battery health.
Further, still include:
when the number of the reference battery packs is multiple, the equalization control effect coefficients of the reference battery packs are compared, and the target reference battery pack is determined according to the comparison result, wherein the equalization control effect coefficients are obtained by calculation according to the state parameters of the reference battery packs, and are used for quantifying the equalization control effects of different battery packs in respective equalization control parameters, and preferably adopt two items of charge and discharge times and battery health degree for calculation, at the moment, the relationship among the equalization control effect coefficients, the charge and discharge times and the battery health degree can be understood as follows: when the charging and discharging times are the same, the battery pack with higher battery health degree has better balance control effect, and/or when the battery health degree is the same, the battery pack with higher charging and discharging times has better balance control effect.
Further, the method can also comprise the following steps:
and step 104, periodically acquiring the balance control parameters and the battery pack parameters of the battery pack so as to update the balance control data of the battery pack based on the acquired balance control parameters and the battery pack parameters.
It should be noted that the big data server device provided in this embodiment may also periodically obtain the equalization control parameter and the battery pack parameter of the battery pack, which may be the original battery pack or a newly added battery pack, so as to update the battery pack equalization control data based on the obtained equalization control parameter and battery pack parameter, and implement updating and expansion of the battery pack equalization control data.
Further, the equalization control parameter is specifically an equalization current.
Further, when the equalization control parameter is specifically the equalization current, step 103 in the second embodiment specifically includes:
and feeding back the balance current corresponding to the reference battery pack to the control unit, so that the control unit calculates the balance control quantity of each single battery according to the balance current and by combining the actual current parameters of each single battery in the battery pack to be balanced, and active balance control is performed according to the balance control quantity.
The above is a detailed description of a second embodiment of the active equalization control method for a battery pack provided by the present application, and the following is a detailed description of a first embodiment of the active equalization control device for a battery pack provided by the present application.
Referring to fig. 4, a fourth embodiment of the present application provides a battery active equalization control apparatus, which can be disposed in a big data server device, and the apparatus includes:
an active equalization request response unit 201, configured to extract, in response to a received battery active equalization control request, battery parameters included in the battery active equalization control request, where the battery parameters include: the battery pack active equalization control request is sent by a control unit of the battery pack to be equalized;
the reference battery pack matching unit 202 is configured to match a reference battery pack from battery pack balance control data according to battery pack parameters in combination with battery pack balance control data stored in the big data server device, where the battery pack balance control data is formed by the big data server device according to summary of the obtained balance control parameters of the plurality of battery packs and the battery pack parameters, and the reference battery pack is a battery pack with the highest similarity between the battery pack parameters in the battery pack balance control data and the battery packs to be balanced;
and the equalization control parameter feedback unit 203 is configured to feed back the equalization control parameter corresponding to the reference battery pack to the control unit, so that the control unit performs active equalization control on the battery pack to be equalized according to the equalization control parameter.
In addition, a fifth embodiment of the present application provides a computer-readable storage medium, which corresponds to the memory in the big data server device in the first embodiment, and the computer-readable storage medium stores therein a program code corresponding to the active equalization control method for a battery pack as provided in the second embodiment or the third embodiment of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The terms "first," "second," "third," "fourth," and the like in the description of the application and the above-described figures, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. The active equalization control method for the battery pack is applied to big data server equipment, and comprises the following steps:
in response to a received battery pack active equalization control request, extracting battery pack parameters contained in the battery pack active equalization control request, wherein the battery pack parameters comprise: the battery pack active equalization control request is sent by a control unit of the battery pack to be equalized;
according to the battery pack parameters, matching a reference battery pack from the battery pack balance control data in combination with battery pack balance control data stored in the big data server side equipment, wherein the battery pack balance control data is formed by summarizing the big data server side equipment according to the balance control parameters of the obtained multiple battery packs and the battery pack parameters, and the reference battery pack is the battery pack with the highest similarity between the battery pack parameters in the battery pack balance control data and the battery pack to be balanced;
and feeding back the balance control parameters corresponding to the reference battery pack to the control unit so that the control unit can perform active balance control on the battery pack to be balanced according to the balance control parameters.
2. The active equalization control method of claim 1, wherein the model parameters comprise: battery type parameters, specification parameters, and rated electrical parameters.
3. The active equalization control method of claim 1, wherein the state parameters comprise: actual electrical parameters, charge and discharge times, remaining capacity, and battery health.
4. The active equalization control method of claim 3, further comprising:
and when the number of the reference battery packs is multiple, comparing the balance control effect coefficients of the reference battery packs, and determining a target reference battery pack according to the comparison result, wherein the balance control effect coefficients are obtained by calculation according to the state parameters of the reference battery packs.
5. The active equalization control method of claim 1, further comprising:
and regularly acquiring the balance control parameters and the battery pack parameters of the battery pack so as to update the balance control data of the battery pack based on the acquired balance control parameters and the battery pack parameters.
6. The active equalization control method of claim 1, wherein the equalization control parameter is equalization current.
7. The active equalization control method of the battery pack according to claim 6, wherein the feeding back the equalization control parameter corresponding to the reference battery pack to the control unit, so that the control unit performs active equalization control on the battery pack to be equalized according to the equalization control parameter specifically comprises:
and feeding back the balance current corresponding to the reference battery pack to the control unit, so that the control unit can calculate the balance control quantity of each single battery according to the balance current and by combining the actual current parameters of each single battery in the battery pack to be balanced, and can perform active balance control according to the balance control quantity.
8. The active equalization control device of the battery pack based on big data is characterized in that the device is arranged at a big data server side device and comprises:
an active equalization request response unit, configured to extract, in response to a received battery pack active equalization control request, a battery pack parameter included in the battery pack active equalization control request, where the battery pack parameter includes: the battery pack active equalization control request is sent by a control unit of the battery pack to be equalized;
the reference battery pack matching unit is used for matching a reference battery pack from the battery pack balance control data according to the battery pack parameters and by combining the battery pack balance control data stored in the big data server side equipment, wherein the battery pack balance control data is formed by summarizing the balance control parameters and the battery pack parameters of the plurality of acquired battery packs by the big data server side equipment, and the reference battery pack is the battery pack with the highest similarity between the battery pack parameters and the battery pack to be balanced in the battery pack balance control data;
and the balance control parameter feedback unit is used for feeding back the balance control parameters corresponding to the reference battery pack to the control unit so that the control unit can carry out active balance control on the battery pack to be balanced according to the balance control parameters.
9. A big data server device, comprising: a memory and a processor;
the memory is used for storing program codes, and the program codes correspond to the battery pack active equalization control method in any one of claims 1 to 7;
the processor is configured to execute the program code.
10. A computer-readable storage medium having stored therein program code corresponding to a battery pack active equalization control method according to any one of claims 1 to 7.
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