CN117277515B - Electric quantity control method, device, equipment and medium of outdoor energy storage power supply - Google Patents

Electric quantity control method, device, equipment and medium of outdoor energy storage power supply Download PDF

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CN117277515B
CN117277515B CN202311549457.3A CN202311549457A CN117277515B CN 117277515 B CN117277515 B CN 117277515B CN 202311549457 A CN202311549457 A CN 202311549457A CN 117277515 B CN117277515 B CN 117277515B
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power supply
priority
capacity
current
electric equipment
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CN117277515A (en
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钟小军
刘文明
周高兴
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Guangzhou Allpowers Energy Technology Co ltd
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Guangzhou Allpowers Energy Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/007Regulation of charging or discharging current or voltage
    • H02J7/00712Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
    • H02J7/35Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells

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Abstract

The application relates to the technical field of electric quantity control, in particular to an electric quantity control method, device, equipment and medium of an outdoor energy storage power supply. According to the method, the priority is set for each electric equipment type, then the equipment type of each electric equipment is identified based on the equipment parameters of each electric equipment, the power change curve in the future preset time period is predicted based on the historical charge and discharge data of the power supply and the historical use data of each electric equipment, so that the priority of the target electric equipment is dynamically determined together, the power supply to the target electric equipment is determined according to the priority, the output power is regulated or cut off, and the electric quantity of the energy storage power supply is controlled so as to meet the long-time use requirement of the energy storage power supply for users.

Description

Electric quantity control method, device, equipment and medium of outdoor energy storage power supply
Technical Field
The application relates to the technical field of electric quantity control, in particular to an electric quantity control method, device, equipment and medium of an outdoor energy storage power supply.
Background
The photovoltaic outdoor energy storage power supply is a portable energy storage power supply, is internally provided with a lithium ion battery, has two output modes of alternating current and direct current, can supply power to electric equipment such as a thermos bottle, a mobile phone, a flat plate and a lamp, can utilize photovoltaic power generation, is widely applied to field camping, has an upper limit on the electric quantity of the energy storage power supply, sometimes needs to use the energy storage power supply for a long time in the field camping process, and only depends on the photovoltaic power generation of the energy storage power supply, and under the condition, the electric quantity of the energy storage power supply needs to be controlled so as to meet the long-time use requirements of users.
Disclosure of Invention
In order to meet the requirement of an energy storage power supply on long-time use of a user, the application provides an electric quantity control method, device, equipment and medium of an outdoor energy storage power supply, which adopts the following technical scheme:
an electric quantity control method of an outdoor energy storage power supply comprises the following steps:
acquiring equipment priority settings of users on the types of electric equipment;
acquiring historical charge and discharge data of a power supply and historical current curves of all electric equipment;
predicting a power change curve in a future preset time period based on the historical charge and discharge data and the historical usage current curve;
dynamically determining the priority of target electric equipment based on the current capacity of the power supply, the equipment priority setting and the power change curve, wherein the target electric equipment is one electric equipment connected with the power supply in the electric equipment;
and determining power supply, output power adjustment or disconnection of the target electric equipment based on the priority.
Through adopting above-mentioned technical scheme, this application is through carrying out priority setting to each consumer type, then acquire the historical charge-discharge data of power and the historical current data that uses of each consumer, based on the historical charge-discharge data of power and the historical current data that uses of each consumer, predict the electric power change curve in the future preset time period, according to the current capacity of power, equipment priority setting and electric power change curve, jointly dynamic determination target consumer's priority, confirm the power supply to target consumer according to the priority, output adjustment or cut off, thereby control the electric quantity of energy storage power, in order to satisfy the demand that energy storage power to the user for a long time use.
Optionally, the historical charge-discharge data includes historical charge capacity data and historical discharge capacity data, and the predicting the power change curve in the future preset time period based on the historical charge-discharge data and the historical current curve specifically includes:
determining a current power generation efficiency of a power supply based on the historical charge capacity data and the historical discharge capacity data;
acquiring an environmental parameter change curve of a power supply in a preset time period in the future;
predicting a power generation capacity change curve of a power supply in a future preset time period based on the current power generation efficiency and the environmental parameter change curve;
predicting a capacitance change curve in a future preset time period based on the historical current using curve;
the power variation curve is determined based on the power generation capacity variation curve and the electricity consumption capacity variation curve.
Through adopting above-mentioned technical scheme, this application is based on the historical charge capacity data and the historical discharge capacity data of energy storage power, confirms current generating efficiency, then combines environmental parameter change curve prediction power generation capacity change curve in the future preset time period, predicts with the electric capacity change curve based on the historical current curve that uses of each consumer to based on power generation capacity change curve and with the electric capacity change curve, more accurate prediction power change curve.
Optionally, the predicting a power generation capacity change curve of the power supply in a future preset time period based on the current power generation efficiency and the environmental parameter change curve specifically includes:
acquiring a comparison relation between the historical environment parameters and the historical charging capacity data;
predicting a future charge capacity change curve based on the environmental parameter change curve and the control relationship;
and determining a power generation capacity change curve in a future preset time period based on the current power generation efficiency and the future charge capacity change curve.
By adopting the technical scheme, the control relation between the historical environment parameters and the historical charging capacity data is acquired, then the charging capacity change curve in a future preset time period is preset based on the control relation and the environment parameter change curve, and then the power generation capacity change curve in the future preset time period is predicted based on the current power generation efficiency and the future charging capacity change curve.
Optionally, the predicting the capacitance change curve in the future preset time period based on the historical current using curve specifically includes:
acquiring a historical use current curve in a latest preset time period, wherein the preset time period forms a sliding window;
monitoring current used current in real time;
updating a historical use current curve in the sliding window in real time based on the current use current, and establishing a real-time current prediction model based on the updated historical use current curve in real time;
and predicting a capacitance change curve in a preset time period in the future according to the real-time current prediction model.
Through adopting above-mentioned technical scheme, this application is according to the current curve of historical use in the last preset time quantum and the current of current use of real-time supervision, and the historical use current curve of slip update then establishes real-time current prediction model based on the historical use current curve of real-time update, predicts the electricity consumption capacity change curve in the future preset time quantum to can catch the current variation trend fast, predict the electricity consumption capacity change.
Optionally, before the determining, based on the priority, power supply, output power adjustment or disconnection of the target electric device, the method further includes:
when the current capacity of the power supply is larger than or equal to a first preset capacity threshold value, maintaining normal power supply of the target electric equipment;
and when the current capacity of the power supply is smaller than a first preset capacity threshold, determining power supply, output power adjustment or cutting-off of the target electric equipment based on the priority.
Through adopting above-mentioned technical scheme, this application is when the current capacity of power is greater than first default capacity threshold value, and the energy of power is sufficient, maintains the normal power supply to target consumer this moment to satisfy the demand that the user normally used the consumer, when the current capacity of power is less than first default capacity threshold value, confirm the power supply, the output adjustment of consumer or cut off through the priority, thereby increase the length of time of use of power.
Optionally, the determining the priority of the target electric equipment dynamically based on the current capacity of the power supply, the equipment priority setting and the power change curve specifically includes:
determining a base priority of each powered device based on the device priority setting, the base priority including a highest priority, a middle priority, and a lowest priority;
determining a power supply available electricity quantity change curve based on the current capacity of the power supply and the power change curve;
acquiring a predicted used capacitance in a preset time period based on the used capacitance change curve;
when the current capacity of the power supply is between a second preset capacity threshold and a third preset capacity threshold, and the available electric quantity of the current power supply is larger than the used capacity, maintaining the basic priority of all priority electric equipment unchanged, wherein the second preset capacity threshold is smaller than a first preset capacity threshold, and the third preset capacity threshold is smaller than the second preset capacity threshold;
when the current capacity of the power supply is between a second preset capacity threshold and a third preset capacity and the available electric quantity of the current power supply is smaller than or equal to the used capacity, reducing the electric equipment with the middle priority to be the lowest priority;
when the current capacity of the power supply is smaller than a third preset capacity threshold, reducing the basic priority of all priority electric equipment;
when the current capacity of the power supply is larger than a second preset capacity threshold value, recovering the basic priority of all priority electric equipment;
and determining the final priority of the target electric equipment based on the adjusted basic priority.
Through adopting above-mentioned technical scheme, this application is through equipment priority setting and the equipment type of each consumer earlier, confirm the basic priority of each consumer, then based on the current capacity of power and electric power change curve, confirm the usable electric quantity of power, predict the electric capacity of using in the preset time period based on the electric capacity change curve, according to the magnitude relation between the current capacity of power and the preset capacity threshold value, and the magnitude relation between usable electric quantity of power and the electric capacity of using, adjust the priority of each consumer, thereby realize the dynamic determination priority, in order to confirm suitable priority for each consumer under the circumstances of various powers.
Optionally, when the current capacity of the power supply is smaller than a first preset capacity threshold, determining, based on the priority, power supply, output power adjustment or disconnection of the target electric equipment, including:
when the priority of the target electric equipment is the highest priority, maintaining normal power supply;
when the priority of the target electric equipment is the middle priority, adjusting the output power of the target electric equipment;
and when the priority of the target electric equipment is the lowest priority, cutting off the power supply to the target electric equipment.
Through adopting above-mentioned technical scheme, this application is when the target consumer is out different priorities, takes different power supply strategies to the target consumer, when the priority of target consumer is the intermediate priority, carries out output adjustment to the target consumer, when the priority of target consumer is the minimum priority, cuts off the power supply to the target consumer to control the electric quantity of energy storage power supply, in order to satisfy user's long-time use demand.
In a second aspect, the present application provides an electric quantity control device of an outdoor energy storage power supply, which is characterized by comprising:
the device priority setting acquisition module acquires device priority setting of a user for each electric equipment type;
the historical data acquisition module is used for acquiring historical charge and discharge data of the power supply and historical use current curves of all electric equipment;
the power change curve prediction module is used for predicting a power change curve in a future preset time period based on the historical charge and discharge data and the historical use current curve;
the priority dynamic determining module is used for dynamically determining the priority of target electric equipment based on the current capacity of the power supply, the equipment priority setting and the power change curve, wherein the target electric equipment is one electric equipment connected with the power supply;
and the control module is used for determining power supply, output power adjustment or cutoff of the target electric equipment based on the priority.
In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the steps of the method for controlling the electric power of the outdoor energy storage power supply when the computer program is executed.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for controlling the electrical quantity of an outdoor energy storage power supply described above.
In summary, the present application includes at least one of the following beneficial technical effects:
according to the method, priority setting is carried out on each type of electric equipment, then historical charge-discharge data of a power supply and historical use current data of each electric equipment are obtained, a power change curve in a future preset time period is predicted based on the historical charge-discharge data of the power supply and the historical use current data of each electric equipment, the priority of the target electric equipment is dynamically determined together according to the current capacity of the power supply, the equipment priority setting and the power change curve, power supply to the target electric equipment is determined according to the priority, and output power is regulated or cut off, so that the electric quantity of an energy storage power supply is controlled, and the long-time use requirement of the energy storage power supply for a user is met;
according to the method, the current power generation efficiency is determined based on the historical charge capacity data and the historical discharge capacity data of the energy storage power supply, then the power generation capacity change curve in a preset time period in the future is predicted by combining the environmental parameter change curve, the capacitance change curve is predicted based on the historical use current curve of each electric equipment, and therefore the power change curve is predicted more accurately based on the power generation capacity change curve and the capacitance change curve;
according to the method, the base priority of each electric device is determined through equipment priority setting and equipment types of each electric device, then the available electric quantity of the power source is determined based on the current capacity and the power change curve of the power source, the power consumption capacity in a preset time period is predicted based on the power consumption capacity change curve, and the priority of each electric device is adjusted according to the magnitude relation between the current capacity of the power source and the preset capacity threshold value and the magnitude relation between the available electric quantity of the power source and the power consumption capacity, so that the priority is dynamically determined, and the proper priority is determined for each electric device under various power conditions.
Drawings
FIG. 1 is an exemplary flow chart of a method for controlling the charge of an outdoor energy storage power supply in an embodiment of the present application;
FIG. 2 is an exemplary flow chart of predicting a power change curve according to an embodiment of the present application;
FIG. 3 is an exemplary flow chart for identifying a device type of a powered device according to an embodiment of the present application;
fig. 4 is a schematic block diagram of an electric quantity control device of an outdoor energy storage power supply according to an embodiment of the present application;
fig. 5 is an internal structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The terminology used in the following embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the specification and the appended claims, the singular forms "a," "an," "the," and "the" are intended to include the plural forms as well, unless the context clearly indicates to the contrary. It should also be understood that the term "and/or" as used in this application is intended to encompass any or all possible combinations of one or more of the listed items.
The terms "first," "second," and the like, are used below for descriptive purposes only and are not to be construed as implying or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature, and in the description of embodiments of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
When camping in the field, the energy storage power supply outside the user needs to be used for a long time, and if the electric quantity is not controlled, the long-time use requirement of the user cannot be met.
The utility model provides an electric quantity control method, device, equipment and medium of outdoor energy storage power supply, through carrying out the priority setting to each consumer type, then based on the equipment parameter of each consumer, discern the equipment type of each consumer, based on the historical charge-discharge data of power and the historical use data of each consumer, forecast the electric power change curve in the future default time period, thereby confirm the priority of target consumer jointly and dynamically, confirm the power supply to target consumer according to the priority, output adjustment or cut off, thereby control the electric quantity of energy storage power supply, in order to satisfy the demand that energy storage power supply used for a long time to the user.
Embodiments of the present application are described in further detail below with reference to the drawings attached hereto.
Referring to fig. 1, fig. 1 is an exemplary flowchart of a method for controlling power of an outdoor energy storage power source according to an embodiment of the present application.
In a first aspect, the present application provides an electric power control method for an outdoor energy storage power supply, including the steps of:
s110, acquiring equipment priority settings of users for the types of electric equipment.
The user can set the device priority of each electric equipment type through a user interface.
Specifically, an image user interface is arranged on the outdoor energy storage power supply, a user can set priority for each equipment type on the image user interface, and the priority of each equipment type is set to be the highest priority, the middle priority and the lowest priority.
S120, acquiring historical charge and discharge data of a power supply and historical use current curves of all electric equipment;
s130, predicting a power change curve in a future preset time period based on historical charge and discharge data and a historical use current curve.
Referring to fig. 2, fig. 2 is an exemplary flowchart of predicting a power change curve according to an embodiment of the present application.
Wherein, the historical charge-discharge data includes historical charge capacity data and historical discharge capacity data, and step S130 specifically includes:
s131, determining the current power generation efficiency of the power supply based on the historical charge capacity data and the historical discharge capacity data.
Wherein, energy storage power supply can reduce along with the lapse of time in the use, and including capacity decay, internal resistance increase, charge-discharge efficiency reduce, the power generating efficiency of determining energy storage power supply according to energy storage power supply's fixed index this moment is inaccurate, through obtaining historical charge capacity data and historical discharge capacity data, can confirm power generating efficiency more accurately.
Specifically, the method has time limitation in acquiring the historical charge capacity data and the historical discharge capacity data, for example, acquiring the charge capacity data and the discharge capacity data in a fixed period of history, which may be one month. Therefore, the determined power generation efficiency of the power supply can be more matched with the current power generation efficiency of the energy storage power supply.
S132, acquiring an environmental parameter change curve of the power supply in a preset time period in the future.
Wherein the environmental parameters include solar intensity data and temperature data. The sunlight intensity data and the temperature data are two important data affecting photovoltaic energy storage, and can be obtained through weather forecast.
S133, predicting a power generation capacity change curve of the power supply in a future preset time period based on the current power generation efficiency and the environment parameter change curve.
The step S133 specifically includes:
s1331, acquiring a comparison relation between the historical environment parameters and the historical charge capacity data.
The energy storage power supply collects and records environmental parameters in real time in the working process, the environmental parameters and the time point information are included, meanwhile, charging capacity data and the time point information are recorded, and a relation equation can be established according to historical environmental parameters, charging capacity data and the time point information, so that a comparison relation between the environmental parameters and the historical charging capacity data is determined.
S1332, predicting a future charge capacity change curve based on the environment parameter change curve and the comparison relation.
Wherein the environmental parameters include solar intensity data and temperature data.
Notably, solar intensity data and temperature data are the two important data that affect photovoltaic energy storage.
S1333, determining a power generation capacity change curve in a future preset time period based on the current power generation efficiency and the future charge capacity change curve.
S134, predicting a capacitance change curve in a preset time period in the future based on the historical current curve.
The step S134 specifically includes:
s1341, acquiring historical usage current data in a latest preset time period.
Wherein the preset time period constitutes a sliding window.
S1342, monitoring the current used current in real time.
S1343, updating a historical use current curve in the sliding window in real time based on the current use current, and establishing a real-time current prediction model based on the updated historical use current curve.
Specifically, the change trend of the historical current data collected in the sliding window is analyzed, the type of the electric equipment of each time node is determined, the use current of each time point is predicted by combining the use current of each electric equipment, and a current prediction model is established.
S1344, predicting a capacitance change curve in a preset time period in the future according to the real-time current prediction model.
And S135, determining a power change curve based on the power generation capacity change curve and the electricity consumption capacity change curve.
The power change curve refers to a state in which power increases or decreases, and indicates an increase or decrease in power of the energy storage battery in a predetermined time period in the future.
And S140, dynamically determining the priority of the target electric equipment based on the current capacity of the power supply, the equipment priority setting and the power change curve.
The target electric equipment is one electric equipment connected with a power supply in all electric equipment.
Specifically, before step S140, identifying the current consumer type is further included:
referring to fig. 3, fig. 3 is an exemplary flowchart for identifying a device type of a powered device according to an embodiment of the present application.
S310, detecting the voltage waveform and the current waveform of each current electric equipment.
The current electric equipment is electric equipment connected with a power supply, and the voltage waveform and the current waveform can be detected through a current and voltage sensor.
S320, extracting characteristic parameters of each current electric equipment based on the voltage waveform and the current waveform.
The characteristic parameters include waveform frequency, amplitude, phase and high harmonic component, and the high harmonic component refers to a signal with a frequency higher than the fundamental frequency, namely a signal higher than 50Hz, and the signal with the frequency higher than the fundamental frequency becomes high harmonic, so that certain devices may generate specific high harmonic components during operation, which may be used as an index for identifying the devices.
Specifically, by analyzing the voltage waveform and the current waveform, the characteristic parameters of the current electric equipment can be extracted.
S330, matching the characteristic parameters of each current electric equipment with a preset equipment characteristic parameter sample library.
The device characteristic sample library stores characteristic parameters corresponding to different electric equipment types.
Specifically, the method and the device collect characteristic parameters of different electric equipment types in various working states in advance, and establish an equipment characteristic sample library based on statistical analysis, wherein each sample comprises equipment types, equipment states and corresponding characteristic parameters.
It can be understood that the electric equipment commonly used in camping in the field comprises electric equipment such as a thermos, a mobile phone, a flat plate, a lamp and the like, and the characteristic parameters of the commonly used electric equipment are considered when the characteristic sample library is established.
And S340, determining the equipment type of the target electric equipment when the matching degree of the characteristic parameters of the target electric equipment and the characteristic parameters of the equipment type in the equipment characteristic parameter sample library exceeds a preset matching threshold.
The target electric equipment is any one of the current electric equipment.
Specifically, the characteristic parameters of the target electric equipment are compared with the characteristic parameters of each equipment type in the equipment characteristic parameter sample library, and when the matching degree of each characteristic parameter of one equipment type exceeds a preset matching threshold, the equipment type of the target electric equipment is determined to be the equipment type.
The step S140 specifically includes:
s141, determining the basic priority of each electric equipment based on the equipment priority setting and the equipment type of each electric equipment.
Wherein the base priority includes a highest priority, an intermediate priority, and a lowest priority.
It is noted that before the power supply and the output power adjustment or the disconnection of the target electric equipment are determined according to the priority, the magnitude relation between the current capacity of the power supply and the first preset capacity threshold is judged, and when the current capacity of the power supply is greater than or equal to the first preset capacity threshold, the normal power supply of the target electric equipment is maintained, so that the energy of the power supply is sufficient, the normal power supply of the target electric equipment is maintained, and the requirement of normal use of the electric equipment by a user is met; when the current capacity of the power supply is smaller than a first preset capacity threshold, power supply, output power adjustment or cutting-off of the target electric equipment are determined based on the priority, so that the service time of the power supply is prolonged.
Specifically, when power supply is determined according to the priority, different power supply strategies are adopted for the target electric equipment when the target electric equipment is in different priorities.
S142, determining a power supply available electric quantity change curve based on the current capacity of the power supply and the power change curve.
S143, predicting the capacitance for a preset time period based on the capacitance change curve.
S144, when the current capacity of the power supply is between the second preset capacity threshold and the third preset capacity threshold, and the available electric quantity of the current power supply is larger than the used capacity, maintaining the basic priority of all priority electric equipment unchanged.
The second preset capacity threshold is smaller than the first preset capacity threshold, and the third preset capacity threshold is smaller than the second preset capacity threshold.
It is noted that when the current capacity of the power supply is greater than the first preset capacity threshold, the power supply supplies power to all the electric equipment according to the normal voltage and current. The power supply strategy for the electric equipment is determined based on the priority only when the current capacity of the power supply is smaller than a first preset capacity threshold value.
And S145, when the power supply capacity is between the second preset capacity threshold and the third preset capacity threshold, and the current available power supply electric quantity is smaller than or equal to the electricity consumption capacity, reducing the electric equipment with the middle priority to be the lowest priority.
And S146, when the current capacity of the power supply is smaller than a third preset capacity threshold, reducing the basic priority of all priority electric equipment.
The third preset capacity threshold value indicates that the current capacity of the power supply is low, and the power supply can maintain the power supply for a short time, so that the priority of all priority electric equipment needs to be reduced. Meanwhile, an alarm signal with low electric quantity can be sent.
And S147, recovering the basic priority of all priority electric equipment when the current capacity of the power supply is larger than a second preset capacity threshold.
S148, determining the final priority of the target electric equipment based on the adjusted basic priority.
And S150, determining power supply, output power adjustment or disconnection of the target electric equipment based on the priority.
When the priority of the target electric equipment is the highest priority, maintaining normal power supply to the target electric equipment; when the priority of the target electric equipment is the middle priority, adjusting the output power of the target electric equipment; and when the priority of the target electric equipment is the lowest priority, cutting off the power supply of the target electric equipment.
Specifically, the output power adjustment mainly adopts low-power output to supply power for electric equipment, so that the discharge capacity of the energy storage battery is reduced.
The implementation principle of the electric quantity control method of the outdoor energy storage power supply provided by the embodiment of the application is as follows: according to the method, priority setting is carried out on each type of electric equipment, then historical charge-discharge data of a power supply and historical use current data of each electric equipment are obtained, a power change curve in a future preset time period is predicted based on the historical charge-discharge data of the power supply and the historical use current data of each electric equipment, the priority of the target electric equipment is dynamically determined jointly according to the current capacity of the power supply, the priority of the target electric equipment is determined, power supply to the target electric equipment is determined according to the priority, output power is adjusted or cut off, and therefore the electric quantity of an energy storage power supply is controlled, and the requirement of the energy storage power supply for long-time use of a user is met.
In a second aspect, the present application provides an electric quantity control device of an outdoor energy storage power supply, and the electric quantity control device of the outdoor energy storage power supply is described below with reference to the electric quantity control method of the outdoor energy storage power supply. Referring to fig. 4, fig. 4 is a schematic block diagram of an electric quantity control device of an outdoor energy storage power supply according to an embodiment of the present application.
An electrical quantity control device of an outdoor energy storage power supply, comprising:
the device priority setting obtaining module 410 obtains device priority settings of the user for each electric equipment type;
the historical data obtaining module 420 is configured to obtain historical charge and discharge data of the power supply and a historical usage current curve of each electric device;
a power change curve prediction module 430, configured to predict a power change curve within a future preset time period based on the historical charge and discharge data and the historical usage current curve;
a priority dynamic determining module 440, configured to dynamically determine a priority of a target electric device, where the target electric device is one electric device connected to the power supply in the electric devices, based on a current capacity of the power supply, the device priority setting, and the power change curve;
and a control module 450, configured to determine power supply, output power adjustment or cut-off of the target electric equipment based on the priority.
In one embodiment, the present application provides an electronic device, which may be a server, installed in an outdoor energy storage power source, and an internal structure diagram thereof may be as shown in fig. 5. The electronic device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the electronic device is configured to provide computing and control capabilities. The memory of the electronic device includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the electronic device is for storing data. The network interface of the electronic device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing a method for controlling the electric quantity of the outdoor energy storage power supply.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the electronic device to which the present application is applied, and that a particular electronic device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided an electronic device including a memory and a processor, the memory storing a computer program, the processor implementing the steps of the method embodiments described above when executing the computer program.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes in structure, shape and principle of this application should be covered in the protection scope of this application.

Claims (7)

1. The electric quantity control method of the outdoor energy storage power supply is characterized by comprising the following steps of:
acquiring equipment priority settings of users on the types of electric equipment;
acquiring historical charge and discharge data of a power supply and historical use current curves of all electric equipment, wherein the historical charge and discharge data comprise historical charge capacity data and historical discharge capacity data;
determining a current power generation efficiency of a power supply based on the historical charge capacity data and the historical discharge capacity data;
acquiring an environmental parameter change curve of a power supply in a preset time period in the future;
predicting a power generation capacity change curve of a power supply in a future preset time period based on the current power generation efficiency and the environmental parameter change curve;
acquiring a historical use current curve in a latest preset time period, wherein the preset time period forms a sliding window;
monitoring current used current in real time;
updating a historical use current curve in the sliding window in real time based on the current use current, and establishing a real-time current prediction model based on the updated historical use current curve in real time;
predicting a capacitance change curve in a preset time period in the future according to the real-time current prediction model;
determining a power variation curve based on the power generation capacity variation curve and the electricity consumption capacity variation curve;
dynamically determining the priority of target electric equipment based on the current capacity of the power supply, the equipment priority setting and the power change curve, wherein the target electric equipment is one electric equipment connected with the power supply in the electric equipment;
determining power supply, output power adjustment or cutoff of the target electric equipment based on the priority;
the method for dynamically determining the priority of the target electric equipment based on the current capacity of the power supply, the equipment priority setting and the power change curve specifically comprises the following steps:
determining a base priority of each powered device based on the device priority setting, the base priority including a highest priority, a middle priority, and a lowest priority;
determining a power supply available electricity quantity change curve based on the current capacity of the power supply and the power change curve;
predicting the capacitance used in a preset time period based on the capacitance used change curve;
when the current capacity of the power supply is between a second preset capacity threshold and a third preset capacity threshold, and the available electric quantity of the current power supply is larger than the used capacity, maintaining the basic priority of all priority electric equipment unchanged, wherein the second preset capacity threshold is smaller than the first preset capacity threshold, and the third preset capacity threshold is smaller than the second preset capacity threshold;
when the current capacity of the power supply is between a second preset capacity threshold and a third preset capacity and the available electric quantity of the current power supply is smaller than or equal to the used capacity, reducing the electric equipment with the middle priority to be the lowest priority;
when the current capacity of the power supply is smaller than a third preset capacity threshold, reducing the basic priority of all priority electric equipment;
when the current capacity of the power supply is larger than a second preset capacity threshold value, recovering the basic priority of all priority electric equipment;
and determining the final priority of the target electric equipment based on the adjusted basic priority.
2. The method for controlling the power of the outdoor energy storage power supply according to claim 1, wherein the predicting the power generation capacity variation curve of the power supply in the future preset time period based on the current power generation efficiency and the environmental parameter variation curve specifically includes:
acquiring a comparison relation between the historical environment parameters and the historical charging capacity data;
predicting a future charge capacity change curve based on the environmental parameter change curve and the control relationship;
and determining a power generation capacity change curve in a future preset time period based on the current power generation efficiency and the future charge capacity change curve.
3. The method of claim 1, wherein prior to determining the power supply, the output power adjustment, or the cut-off to the target powered device based on the priority, the method further comprises:
when the current capacity of the power supply is larger than or equal to a first preset capacity threshold value, maintaining normal power supply of the target electric equipment;
and when the current capacity of the power supply is smaller than a first preset capacity threshold, determining power supply, output power adjustment or cutting-off of the target electric equipment based on the priority.
4. The method for controlling the power of the outdoor energy storage power supply according to claim 1, wherein the determining the power supply, the output power adjustment or the cut-off to the target electric equipment based on the priority comprises:
when the priority of the target electric equipment is the highest priority, maintaining normal power supply;
when the priority of the target electric equipment is the middle priority, adjusting the output power of the target electric equipment;
and when the priority of the target electric equipment is the lowest priority, cutting off the power supply to the target electric equipment.
5. An electric quantity control device of an outdoor energy storage power supply, which is characterized by comprising:
the device priority setting acquisition module acquires device priority setting of a user for each electric equipment type;
the historical data acquisition module is used for acquiring historical charge and discharge data of the power supply and historical use current curves of all electric equipment, wherein the historical charge and discharge data comprise historical charge capacity data and historical discharge capacity data;
the power change curve prediction module is used for determining the current power generation efficiency of the power supply based on the historical charge capacity data and the historical discharge capacity data;
acquiring an environmental parameter change curve of a power supply in a preset time period in the future;
predicting a power generation capacity change curve of a power supply in a future preset time period based on the current power generation efficiency and the environmental parameter change curve;
acquiring a historical use current curve in a latest preset time period, wherein the preset time period forms a sliding window;
monitoring current used current in real time;
updating a historical use current curve in the sliding window in real time based on the current use current, and establishing a real-time current prediction model based on the updated historical use current curve in real time;
predicting a capacitance change curve in a preset time period in the future according to the real-time current prediction model;
determining a power variation curve based on the power generation capacity variation curve and the electricity consumption capacity variation curve;
the priority dynamic determining module is used for dynamically determining the priority of target electric equipment based on the current capacity of the power supply, the equipment priority setting and the power change curve, wherein the target electric equipment is one electric equipment connected with the power supply;
the method for dynamically determining the priority of the target electric equipment based on the current capacity of the power supply, the equipment priority setting and the power change curve specifically comprises the following steps:
determining a base priority of each powered device based on the device priority setting, the base priority including a highest priority, a middle priority, and a lowest priority;
determining a power supply available electricity quantity change curve based on the current capacity of the power supply and the power change curve;
predicting the capacitance used in a preset time period based on the capacitance used change curve;
when the current capacity of the power supply is between a second preset capacity threshold and a third preset capacity threshold, and the available electric quantity of the current power supply is larger than the used capacity, maintaining the basic priority of all priority electric equipment unchanged, wherein the second preset capacity threshold is smaller than the first preset capacity threshold, and the third preset capacity threshold is smaller than the second preset capacity threshold;
when the current capacity of the power supply is between a second preset capacity threshold and a third preset capacity and the available electric quantity of the current power supply is smaller than or equal to the used capacity, reducing the electric equipment with the middle priority to be the lowest priority;
when the current capacity of the power supply is smaller than a third preset capacity threshold, reducing the basic priority of all priority electric equipment;
when the current capacity of the power supply is larger than a second preset capacity threshold value, recovering the basic priority of all priority electric equipment;
determining the final priority of the target electric equipment based on the adjusted basic priority;
and the control module is used for determining power supply, output power adjustment or cutoff of the target electric equipment based on the priority.
6. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method for controlling the electrical quantity of an outdoor energy storage power supply according to any one of claims 1-4 when the computer program is executed by the processor.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of controlling the electrical quantity of an outdoor energy storage power supply according to any one of claims 1-4.
CN202311549457.3A 2023-11-21 2023-11-21 Electric quantity control method, device, equipment and medium of outdoor energy storage power supply Active CN117277515B (en)

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