CN117497887B - Storage battery management method and system - Google Patents

Storage battery management method and system Download PDF

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Publication number
CN117497887B
CN117497887B CN202311716415.4A CN202311716415A CN117497887B CN 117497887 B CN117497887 B CN 117497887B CN 202311716415 A CN202311716415 A CN 202311716415A CN 117497887 B CN117497887 B CN 117497887B
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programmable
executable file
bms
state
management function
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CN117497887A (en
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王孙骏
高政
宣慧栋
宋小平
党俊
陈余荣
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Hangzhou Kongtrolink Information Technology Co ltd
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Hangzhou Kongtrolink Information Technology Co ltd
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4207—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
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M10/4257—Smart batteries, e.g. electronic circuits inside the housing of the cells or batteries
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/482—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for several batteries or cells simultaneously or sequentially
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte
    • H01M10/486—Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte for measuring temperature
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4278—Systems for data transfer from batteries, e.g. transfer of battery parameters to a controller, data transferred between battery controller and main controller

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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Secondary Cells (AREA)

Abstract

The application provides a storage battery management method and system. The method is applied to programmable services of a storage battery management platform and comprises the following steps: receiving parameter information of a storage battery sent by a programmable Battery Management System (BMS), and determining the state of the storage battery according to the parameter information, wherein the state of the storage battery comprises a floating charge state, a uniform charge state, a discharge state and an idle state; and selecting a function block network in a corresponding state to link and compile according to the state of the storage battery, and generating a management function executable file, wherein the management function executable file comprises a programmable service executable file and a programmable BMS executable file, the programmable service executable file is used for the programmable service to execute the corresponding function block network, and the programmable BMS executable file is used for the programmable BMS to execute the corresponding function block network. The method of the application can improve the efficiency and accuracy of data processing.

Description

Storage battery management method and system
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and a system for managing a storage battery.
Background
In the fields of communication base stations, data centers, household energy storage and the like, a large amount of storage batteries are required to be used as energy storage devices, and the storage batteries store a large amount of energy, so that if management is lacking, large losses, such as fire, electrolyte leakage and the like, are caused when accidents occur, and therefore the storage batteries are required to be managed.
In the prior art, a main method for managing the storage Battery is to install a Battery management system (Battery MANAGEMENT SYSTEM, BMS) on each storage Battery, and the BMS can monitor parameters such as voltage, temperature, internal impedance, charge and discharge current of each storage Battery, and predict a Battery residual capacity (SOC) and a health (SOH), etc. The BMS of each battery transmits the data obtained through monitoring and prediction to a storage battery management platform, and the storage battery management platform comprehensively manages a plurality of storage battery states.
However, in the above battery management method, the efficiency of data processing is low, and the accuracy of the processing result is low.
Disclosure of Invention
The application provides a storage battery management method and system, which are used for solving the problem of low data processing efficiency in the prior art.
In a first aspect, the present application provides a battery management method, applied to a programmable service of a battery management platform, the method comprising:
Receiving parameter information of a storage battery sent by a programmable Battery Management System (BMS), and determining the state of the storage battery according to the parameter information, wherein the state of the storage battery comprises a floating charge state, a uniform charge state, a discharge state and an idle state;
And selecting a function block network in a corresponding state to link and compile according to the state of the storage battery, and generating a management function executable file, wherein the management function executable file comprises a programmable service executable file and a programmable BMS executable file, the programmable service executable file is used for the programmable service to execute the corresponding function block network, and the programmable BMS executable file is used for the programmable BMS to execute the corresponding function block network.
In some embodiments, the function block network includes a remaining capacity SOC function block network and a health SOH function block network;
according to the state of the storage battery, selecting a function block network corresponding to the state to link and compile, and generating a management function executable file, wherein the method specifically comprises the following steps of:
According to the state of the storage battery, linking and compiling an SOC functional block network and an SOH functional block network in corresponding states to generate an SOC management function executable file and an SOH management function executable file;
The method further comprises the steps of:
Receiving a resource utilization state of the programmable BMS, which is sent by the programmable BMS, wherein the resource utilization state comprises the utilization rate of a computing resource and the utilization rate of a storage resource;
When the utilization rate of the computing resources is larger than the first computing resource utilization rate threshold value and smaller than the second computing resource utilization rate threshold value, or the utilization rate of the storage resources is larger than the first storage resource utilization rate threshold value and smaller than the second storage resource utilization rate threshold value, the SOC management function executable file or the SOH management function executable file is sent to the programmable BMS, so that the programmable BMS executes the SOC management function executable file or the SOH management function executable file;
And executing the SOC management function executable file and the SOH management function executable file when the utilization rate of the computing resource is greater than a second computing resource utilization rate threshold or the utilization rate of the storage resource is greater than a second storage resource utilization rate threshold.
In some embodiments, before receiving the parameter information of the battery sent by the programmable battery management system BMS, the method further includes:
And deconstructing the management function of the programmable BMS according to a plurality of states of the storage battery to obtain a plurality of function block networks corresponding to each state.
In a second aspect, the present application provides a battery management method applied to a programmable BMS, the method comprising:
The method comprises the steps of sending parameter information of a storage battery to a programmable service, enabling the programmable service to determine the state of the storage battery according to the parameter information, selecting a functional block network in a corresponding state to link and compile according to the state of the storage battery, and generating a management function executable file, wherein the state of the storage battery comprises a floating charge state, a uniform charge state, a discharge state and an idle state; the management function executable files comprise programmable service executable files and programmable BMS executable files, the programmable service executable files are used for the programmable service to execute corresponding function block networks, and the programmable BMS executable files are used for the programmable BMS to execute corresponding function block networks.
In some embodiments, the method further comprises:
The method comprises the steps of sending a resource utilization state of a programmable BMS to the programmable service, and enabling the programmable service to send an SOC management function executable file or an SOH management function executable file to the programmable BMS when the utilization rate of a computing resource is larger than a first computing resource utilization rate threshold and smaller than a second computing resource utilization rate threshold or the utilization rate of a storage resource is larger than a first storage resource utilization rate threshold and smaller than a second storage resource utilization rate threshold, wherein the resource utilization state comprises the utilization rate of the computing resource and the utilization rate of the storage resource;
an SOC management function executable file or an SOH management function executable file is executed.
In a third aspect, the present application provides a battery management system comprising a battery management platform and a battery; the battery management platform comprises programmable services, and the battery comprises a programmable BMS;
the programmable BMS is used for collecting parameter information of the storage battery and sending the parameter information of the storage battery to the programmable service;
The programmable service is used for determining the state of the storage battery according to the parameter information, wherein the state of the storage battery comprises a floating charge state, a uniform charge state, a discharge state and an idle state;
The programmable service is further used for selecting a function block network corresponding to the state to link and compile according to the state of the storage battery, and generating a management function executable file, wherein the management function executable file comprises a programmable service executable file and a programmable BMS executable file, the programmable service executable file is used for the programmable service to execute the corresponding function block network, and the programmable BMS executable file is used for the programmable BMS to execute the corresponding function block network.
In some embodiments, the function block network includes a SOC function block network and a SOH function block network;
The programmable service is also used for linking and compiling the SOC functional block network and the SOH functional block network corresponding to the states according to the states of the storage battery to generate an SOC management function executable file and an SOH management function executable file;
The programmable service is further used for receiving the resource utilization state of the programmable BMS sent by the programmable BMS, wherein the resource utilization state comprises the utilization rate of the computing resource and the utilization rate of the storage resource;
The programmable service is further used for sending the SOC management function executable file or the SOH management function executable file to the programmable BMS when the utilization rate of the computing resources is larger than the first computing resource utilization rate threshold and smaller than the second computing resource utilization rate threshold or the utilization rate of the storage resources is larger than the first storage resource utilization rate threshold and smaller than the second storage resource utilization rate threshold, so that the programmable BMS executes the SOC management function executable file or the SOH management function executable file;
The programmable service is further configured to execute the SOC management function executable file and the SOH management function executable file when the utilization of the computing resource is greater than the second computing resource utilization threshold or the utilization of the storage resource is greater than the second storage resource utilization threshold.
In some embodiments, the programmable service is further configured to deconstruct the management function of the programmable BMS into a plurality of function block networks corresponding to each state according to the plurality of states of the battery.
In some embodiments, the battery management platform further comprises a plurality of parameter pools, each of the plurality of parameter pools corresponding to a different network of functional blocks.
In some embodiments, the programmable services and the programmable BMS each include a software development kit capable of executing management function executable files;
the software development kit is used for executing management function executable files.
The method comprises the steps of determining the state of a storage battery by a programmable service of a storage battery management platform according to parameter information of the storage battery, selecting a function block network corresponding to the state according to the state of the storage battery, linking and compiling, and generating a management function executable file. Because the management function executable file can be executed by the programmable service or the programmable BMS, the execution end of the management function executable file is conveniently and reasonably selected according to the resource utilization state of the programmable BMS, and the effect of improving the data processing efficiency and accuracy is realized.
Drawings
In order to more clearly illustrate the application or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a prior art battery management scenario;
FIG. 2 is a schematic diagram illustrating a comparison of battery management according to an embodiment of the present application with a prior art;
fig. 3 is a signaling interaction diagram of a battery management method according to an embodiment of the present application;
fig. 4 is a schematic view of a scenario of a battery management method according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged where appropriate. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein.
In the fields of communication base stations, data centers, household energy storage and the like, a large amount of storage batteries are required to be used as energy storage devices, and the storage batteries store a large amount of energy, so that if management is lacking, large losses, such as fire, electrolyte leakage and the like, are caused when accidents occur, and therefore the storage batteries are required to be managed.
In the related art, a main method of managing the battery is to install a BMS on each battery. As shown in fig. 1, the BMS may monitor parameters of voltage, temperature, internal impedance, charge and discharge current, etc. of each storage battery and predict battery SOC, SOH, etc. The BMS of each battery transmits the data obtained through monitoring and prediction to a storage battery management platform, and the storage battery management platform comprehensively manages a plurality of storage battery states. The data in the BMS can be connected with the management host through a field bus, such as RS485, the management host is connected with the storage battery management platform through a wired or wireless network, and the BMS can also be directly connected with the storage battery management platform through a wireless, such as a 4G network for data transmission.
Since the battery is an electrochemical combination, it is typically a nonlinear unit, and its internal characteristics also exhibit strong nonlinearities, such as internal resistance, when it is in different states. The voltage also exhibits non-linearity during the different phases of a single charge and discharge. Therefore, to manage the full state of the battery, in the prior art, when designing the management function including the parameter detection and prediction algorithm inside the BMS, all the states of the battery need to be considered, which results in a larger software code amount inside the BMS and occupies larger storage resources. However, in a specific state, the BMS can only perform a specific management function, and other functions are not performed, so that the program utilization rate of the management function is low. In addition, the characteristics of each state of the storage battery are personalized, and when a plurality of storage batteries are managed by adopting a unified management function, the management function is almost impossible to be well matched with the characteristics of each storage battery.
When the storage battery is in different states, the frequency of data monitoring is different, the generated data amount is different, and the consumption of BMS resources is different. For example, in a floating charge state of the battery, the sampling frequency of the BMS to battery data is low, the calculation frequency of the SOC and the SOH is also low, and the consumption of resources of the BMS is low; when the battery is in a discharging state, the sampling frequency of the BMS to battery data is higher, the SOC and SOH calculation frequency is also higher, and resources of the BMS are consumed more. At this time, the BMS not only occupies too much storage resources, but also has a high utilization rate of computing resources, and when calculating the SOC and SOH, not only is the computing efficiency low, but also the computing accuracy is lowered.
In order to solve the problems, the application provides a storage battery management method and a storage battery management system. According to the method, the BMS management function is deconstructed into a plurality of function block networks and stored in the storage battery management platform, after the programmable service in the storage battery management platform determines the state of the storage battery according to the parameter information of the storage battery, the corresponding function block network is selected and linked and compiled into a file executable by the BMS or a file executable by the programmable service, so that the BMS or the programmable service calculates the SOC and the SOH, and the BMS does not need to store too many management function programs, so that the efficiency and the accuracy of data processing are improved.
The technical scheme of the application is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 2 shows a schematic diagram of a prior art comparison with battery management according to an embodiment of the application. As shown in fig. 2, the left-side dotted frame is the structure of the battery management system in the prior art, and the right-side dotted frame is the structure of the battery management system in the present application. In the prior art, a plurality of management function programs are stored in a BMS, and when the BMS calculates SOC and SOH in a certain battery state, the BMS invokes the management function program corresponding to the battery state, for example, the invoking program 2. In the application, in the programmable service of the management function storage and storage battery management platform, when the programmable BMS calculates the SOC and SOH under a certain battery state, the programmable service calls the management function program corresponding to the battery state and compiles the management function program, the programmable service can send the compiled program to the programmable BMS, the BMS executes the compiled management function program, and the programmable service can also directly execute the compiled management function program. Compared with the prior art, the programmable BMS in the application does not need to store too many management function programs, and the calculation efficiency and the calculation accuracy of the SOC and the SOH are higher.
Fig. 3 shows a signaling interaction diagram of a battery management method according to an embodiment of the present application. As shown in fig. 3, the method of the present embodiment may include the steps of:
and S101, the programmable BMS collects parameter information of the storage battery and sends the parameter information of the storage battery to the programmable service.
In this embodiment, the programmable service is provided on the battery management platform, and the programmable BMS communicates with the programmable service. The parameter information of the storage battery comprises voltage, current magnitude, current direction, internal resistance and pole temperature. The programmable BMS and the programmable service can communicate in real time to acquire the latest parameter information.
S102, the programmable service determines the state of the storage battery according to the parameter information.
The state of the storage battery can be defined as a floating charge state, a uniform charge state, a discharge state and an idle state according to the charge and discharge current of the storage battery.
The parameter information of the storage battery in different states has individuation, and the programmable service can determine the state of the storage battery according to individuation characteristics.
And S103, the programmable service selects a function block network corresponding to the state to link and compile according to the state of the storage battery, and generates a management function executable file.
The function block network corresponding to each state may be plural, for example, the function block network in the battery float state may include a function block network for predicting SOC and a function block network for predicting SOH, and may further include a function block network corresponding to other management functions. Likewise, similar networks of functional blocks exist with the battery in other states.
The management function executable files comprise programmable service executable files and programmable BMS executable files, the programmable service executable files are used for the programmable service to execute corresponding function block networks, and the programmable BMS executable files are used for the programmable BMS to execute corresponding function block networks.
In some embodiments, step S103 may specifically be that the programmable service links and compiles the SOC function block network and the SOH function block network corresponding to the states according to the states of the storage battery, to generate the SOC management function executable file and the SOH management function executable file.
Because the storage battery management platform needs to manage a plurality of storage batteries, the running mode of the programmable BMS of each storage battery can be different, the individuation is strong, in order to cope with changeable scenes, all the function block networks can be independently packaged into original file forms such as XML, lura or Python, and the like, and when in use, the function block networks are selected as required to be linked and compiled so as to adapt to the corresponding programmable BMS. The process can enable the program corresponding to the management function to exist in the original file when not used, and the executable program, namely the executable file of the management function, is generated according to the original file when used, so that the occupation of storage resources is reduced, and meanwhile, the utilization rate of the program corresponding to the management function is improved.
According to the storage battery management method, the management function program is expressed as the function block network and stored in the storage battery management platform, the programmable service selects the function block network corresponding to the storage battery state and compiles the management function executable file, so that the occupation of storage resources of the storage battery BMS is reduced, and meanwhile, the subsequent flexible selection of the management function executable file executed by the programmable service or the programmable BMS is facilitated. When the BMS computing resources are sufficient, the BMS executes the management function executable files, and as the management function executable files in each state can be applicable to the whole state, the BMS does not need to frequently send storage battery parameter information to the programmable service when executing the files, so that the consumption of data transmission resources can be reduced; when BMS computing resources are insufficient, the programmable service executes the management function executable file, so that the data processing efficiency and accuracy are improved.
In some embodiments, the programmable service also receives a resource utilization state of the programmable BMS sent by the programmable BMS. Wherein the resource utilization status includes a utilization of the computing resource and a utilization of the storage resource.
When the utilization rate of the computing resources is greater than the first computing resource utilization rate threshold CT1 and less than the second computing resource utilization rate threshold CT2, or the utilization rate of the storage resources is greater than the first storage resource utilization rate threshold ST1 and less than the second storage resource utilization rate threshold ST2, the programmable service transmits the SOC management function executable file or the SOH management function executable file to the programmable BMS, and the programmable BMS executes the SOC management function executable file or the SOH management function executable file.
When the utilization rate of the computing resource is greater than the second computing resource utilization rate threshold CT2 or the utilization rate of the storage resource is greater than the second storage resource utilization rate threshold ST2, the programmable service executes the SOC management function executable file and the SOH management function executable file.
It is understood that values of 0< ct1< ct2<1,0< ST1< ST2<1, CT2, ST1, and ST2 may be configured according to the configuration of the programmable BMS.
Specifically, when CT1< the utilization ratio of the computing resource < CT2 or ST1< the utilization ratio of the storage resource < ST2, the programmable service transmits the SOC management function executable file or the SOH management function executable file to the programmable BMS, the programmable BMS executes the SOC management function executable file or the SOH management function executable file, and the programmable service executes another management function executable file.
When the utilization ratio of the computing resource is more than CT2 or the utilization ratio of the storage resource is more than ST2, the SOC management function executable file and the SOH management function executable file are executed by the programmable service. Therefore, the resource use of the programmable BMS is more balanced, and the programmable service or the resource use of the programmable BMS is prevented from being centralized.
For example, the programmable BMS resource utilization threshold may be set to 70% in the programmable service. That is, if the utilization of the computing resources of the programmable BMS is higher than 70%, the SOC management function executable file and the SOH management function executable file are executed by the programmable service. And if the utilization rate of the computing resources of the programmable BMS is lower than 70%, executing the SOC management function executable file and the SOH management function executable file by the programmable BMS. It should be appreciated that the resource utilization threshold and corresponding execution side may be set as desired.
In some embodiments, the programmable service is further configured to deconstruct the management function of the programmable BMS into a plurality of function block networks corresponding to each state according to the plurality of states of the battery.
Specifically, as shown in fig. 4, the programmable service deconstructs the management functions of all states of the storage battery to form a plurality of independent function block networks, and stores the function block networks in the form of files. The programmable service links and compiles the selected function block network file to generate a management function executable file, and when the management function executable file is required to be executed by the programmable BMS, the management function executable file is sent to the programmable BMS.
The function block network corresponding to each state may be stored as 1 or more files according to the loadability of the management function. Taking a floating charge state and a discharging state as examples, the functions of the two states are deconstructed and packaged into graphical construction conforming to international standards, and the expression language is a ladder diagram function block. The function block networks in the floating state are C1-1, C1-SOC and C1-SOH, the function block networks in the discharging state are C2-1, C2-SOC and C2-SOH, and the corresponding files are C1-1.XML, C1-SOC. XML, C1-SOH. XML, C2-1.XML, C2-SOC. XML and C2-SOH. XML respectively.
Assuming that the battery is in a discharged state at time T1, the utilization rate of the computing resources of the programmable BMS is 76%. The programmable service identifies the state of the storage battery, selects C1-1.XML, C1-SOC. XML and C1-SOH. XML, makes a decision according to the utilization ratio of the computing resources of the programmable BMS, determines that the C1-SOC. XML and the C1-SOH. XML are executed by the programmable service, and the C1-1.XML is executed by the programmable BMS. The programmable service links and compiles the C1-SOC.XML and the C1-SOH.XML to generate management function executable files supported by the programmable service, compiles the C1-1.XML to generate management function executable files supported by the programmable BMS, and updates the three management function executable files to the programmable service and the programmable BMS to execute.
Assuming that the storage battery is in a floating state at time T2, the utilization rate of the computing resources of the programmable BMS is 42%. The programmable service identifies the state of the storage battery, selects C2-1.XML, C2-SOC. XML and C2-SOH. XML, makes a decision according to the utilization rate of the computing resources of the programmable BMS, and determines that all the C2-1.XML, C2-SOC. XML and C2-SOH. XML are executed by the programmable BMS. The programmable service compiles the C2-1.XML, the C2-SOC. XML and the C2-SOH. XML into management function executable files supported by the programmable BMS, and updates the management function executable files to the programmable BMS for execution.
In this embodiment, the management function of the storage battery is deconstructed to obtain the function block network corresponding to each state, so that the programmable service can conveniently select the corresponding function block network according to the state of the storage battery, the management of the storage battery is more consistent with individuation of different states of the storage battery, and the management effect is improved.
In some embodiments, the battery management platform further comprises a plurality of parameter pools, each of the plurality of parameter pools corresponding to a different network of functional blocks.
After the programmable BMS collects the parameter information, the parameter information is sent to a parameter pool of the storage battery management platform, and the parameter information can be obtained from the parameter pool when the programmable service determines the battery state. It can be understood that the parameter information in the parameter pool is dynamically updated, which is beneficial to improving the matching degree of the management function and the state of the storage battery.
Each parameter pool corresponds to a different network of functional blocks, i.e. to a different battery state. For example, the parameter pool corresponding to the function block network C1 in the floating charge state is P1, and the parameter pool corresponding to the function block network C2 in the discharge state is P2. The parameter pool P1 and the parameter pool P2 each include the voltage, the current direction, the internal resistance and the pole temperature of the storage battery in the corresponding state, and these parameters are updated through communication between the programmable BMS and the programmable service.
In some embodiments, the programmable services and the programmable BMS each include a software development kit (Software Development Kit, SDK) capable of executing management function executable files; the SDK is used for executing management function executable files.
Specifically, the SDK can be used across platforms, supporting languages such as C/C++/Python. After the programmable service generates the management function executable file, the SDK in the programmable service may execute the management function executable file, and the SDK in the programmable BMS may also execute the management function executable file.
Alternatively, the SDK in the programmable BMS may be developed in a standard C language, and the SDK in the programmable service is developed in a c++ language. Because the SDK can be used in a cross-platform manner, the difficulty of compiling the functional block network by the programmable service is reduced, and the data processing efficiency is improved.
The application also provides a storage battery management system which comprises a storage battery management platform and a storage battery. Wherein, battery management platform includes programmable service, and the battery includes programmable BMS. The steps that the programmable service and the programmable BMS can specifically perform are similar to the foregoing method embodiments, and are not repeated here.
In the several embodiments provided by the present application, it should be understood that the disclosed systems and methods may be implemented in other ways. For example, the system embodiments described above are merely illustrative, e.g., the division of modules is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple modules may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the communication connection may be through some interface, electrical, mechanical or otherwise.
Wherein the individual modules may be physically separated, e.g. mounted in different locations of one device, or mounted on different devices, or distributed over a plurality of network elements, or distributed over a plurality of processors. The modules may also be integrated together, e.g. mounted in the same device, or integrated in a set of codes. The modules may exist in hardware, or may also exist in software, or may also be implemented in software plus hardware. The application can select part or all of the modules according to actual needs to realize the purpose of the scheme of the embodiment.
Finally, it should be noted that: 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 may be modified or some or all of the technical features may be replaced with equivalents. Such modifications and substitutions do not depart from the spirit of the application.

Claims (7)

1. A battery management method, wherein the method is applied to a programmable service of a battery management platform, the method comprising:
Receiving parameter information of a storage battery sent by a programmable storage Battery Management System (BMS), and determining the state of the storage battery according to the parameter information, wherein the state of the storage battery comprises a floating charge state, a uniform charge state, a discharge state and an idle state;
According to the state of the storage battery, selecting a function block network in a corresponding state to link and compile, and generating a management function executable file, wherein the management function executable file comprises a programmable service executable file and a programmable BMS executable file, the programmable service executable file is used for the programmable service to execute the corresponding function block network, and the programmable BMS executable file is used for the programmable BMS to execute the corresponding function block network;
the function block network comprises a residual capacity SOC function block network and a health status SOH function block network;
According to the state of the storage battery, selecting a function block network corresponding to the state to link and compile, and generating a management function executable file, wherein the method specifically comprises the following steps of:
according to the state of the storage battery, linking and compiling the SOC functional block network and the SOH functional block network in the corresponding states to generate an SOC management function executable file and an SOH management function executable file;
the method further comprises the steps of:
Receiving a resource utilization state of the programmable BMS, which is sent by the programmable BMS, wherein the resource utilization state comprises a utilization rate of a computing resource and a utilization rate of a storage resource;
When the utilization rate of the computing resources is greater than a first computing resource utilization rate threshold value and less than a second computing resource utilization rate threshold value, or the utilization rate of the storage resources is greater than a first storage resource utilization rate threshold value and less than a second storage resource utilization rate threshold value, the SOC management function executable file or the SOH management function executable file is sent to the programmable BMS, so that the programmable BMS executes the SOC management function executable file or the SOH management function executable file;
And executing the SOC management function executable file and the SOH management function executable file when the utilization rate of the computing resource is greater than the second computing resource utilization rate threshold or the utilization rate of the storage resource is greater than the second storage resource utilization rate threshold.
2. The battery management method according to claim 1, wherein before receiving the parameter information of the battery transmitted by the programmable battery management system BMS, further comprises:
and deconstructing the management function of the programmable BMS according to a plurality of states of the storage battery to obtain a plurality of function block networks corresponding to each state.
3. A battery management method, wherein the method is applied to a programmable BMS, the method comprising:
The method comprises the steps of sending parameter information of a storage battery to a programmable service, enabling the programmable service to determine the state of the storage battery according to the parameter information, selecting a function block network in a corresponding state to link and compile according to the state of the storage battery, and generating a management function executable file, wherein the state of the storage battery comprises a floating charge state, a uniform charge state, a discharge state and an idle state; the management function executable file comprises a programmable service executable file and a programmable BMS executable file, wherein the programmable service executable file is used for the programmable service to execute a corresponding function block network, and the programmable BMS executable file is used for the programmable BMS to execute the corresponding function block network;
the method further comprises the steps of:
Transmitting a resource utilization state of the programmable BMS to the programmable service, so that the programmable service transmits an SOC management function executable file or an SOH management function executable file to the programmable BMS when the utilization rate of a computing resource is greater than a first computing resource utilization rate threshold and less than a second computing resource utilization rate threshold or the utilization rate of a storage resource is greater than a first storage resource utilization rate threshold and less than a second storage resource utilization rate threshold, wherein the resource utilization state comprises the utilization rate of the computing resource and the utilization rate of the storage resource;
And executing the SOC management function executable file or the SOH management function executable file.
4. A battery management system, the system comprising: a battery management platform and a battery; the battery management platform includes a programmable service, and the battery includes a programmable BMS;
The programmable BMS is used for collecting parameter information of the storage battery and sending the parameter information of the storage battery to the programmable service;
The programmable service is used for determining the state of the storage battery according to the parameter information, wherein the state of the storage battery comprises a floating charge state, a uniform charge state, a discharge state and an idle state;
The programmable service is further used for selecting a function block network in a corresponding state to link and compile according to the state of the storage battery, and generating a management function executable file, wherein the management function executable file comprises a programmable service executable file and a programmable BMS executable file, the programmable service executable file is used for the programmable service to execute the corresponding function block network, and the programmable BMS executable file is used for the programmable BMS to execute the corresponding function block network;
the function block network comprises an SOC function block network and an SOH function block network;
The programmable service is also used for linking and compiling the SOC functional block network and the SOH functional block network corresponding to the states according to the states of the storage battery to generate an SOC management function executable file and an SOH management function executable file;
the programmable service is further configured to receive a resource utilization state of the programmable BMS sent by the programmable BMS, where the resource utilization state includes a utilization rate of a computing resource and a utilization rate of a storage resource;
The programmable service is further configured to send the SOC management function executable file or the SOH management function executable file to the programmable BMS when the utilization rate of the computing resource is greater than a first computing resource utilization rate threshold and less than a second computing resource utilization rate threshold, or the utilization rate of the storage resource is greater than a first storage resource utilization rate threshold and less than a second storage resource utilization rate threshold, so that the programmable BMS executes the SOC management function executable file or the SOH management function executable file;
the programmable service is further configured to execute the SOC management function executable file and the SOH management function executable file when the utilization of the computing resource is greater than the second computing resource utilization threshold or the utilization of the storage resource is greater than the second storage resource utilization threshold.
5. The battery management system of claim 4, wherein the programmable service is further configured to deconstruct management functions of the programmable BMS from a plurality of states of the battery to a plurality of function block networks corresponding to each state.
6. The battery management system of claim 4, wherein the battery management platform further comprises a plurality of parameter pools, each of the plurality of parameter pools corresponding to a different network of functional blocks.
7. The battery management system of any one of claims 4-6, wherein the programmable service and the programmable BMS each comprise a software development kit capable of executing the management function executable file;
The software development kit is used for executing the management function executable file.
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