Charging control method, device, electronic device and storage medium

Abstract

The present application provides a charging control method, apparatus, electronic device, and storage medium, which are applied to a charging base station. The method comprises: calculating the predicted total power generation of a power generation module connected to the charging base station within a target time period; obtaining first power information of the charging base station, and obtaining second power information of a self-mobile device; and upon determining that the predicted total power generation, the first power information, and the second power information meet preset recharge conditions, sending a recharge instruction to the self-mobile device, the recharge instruction being used to instruct the self-mobile device to return to the charging base station for charging. Embodiments of the present application can reduce the waste of electrical energy generated by the power generation module.

Description

Technical Field

[0001] The present application relates to the field of power supplies, and specifically to a charging control method, device, electronic device, and storage medium. Background Art

[0002] To ensure the endurance of mobile devices outdoors, charging base stations are typically installed to charge these devices. These base stations are paired with photovoltaic or wind power generation modules to store the generated electricity in the base stations. However, since the amount of energy a charging base station can store is limited, and the power generation modules typically generate electricity continuously under certain conditions, even when the charging base station is fully charged, the electricity generated by the power generation modules cannot be utilized, resulting in energy waste. Summary of the Invention

[0003] One purpose of the present application is to provide a charging control method, device, electronic device and storage medium that can reduce the waste of electrical energy generated by a power generation module.

[0004] According to one aspect of an embodiment of the present application, a charging control method is disclosed, which is applied to a charging base station, including:

[0005] Calculating the predicted total power generation of the power generation module connected to the charging base station within a target time period;

[0006] Obtaining first power information of the charging base station and second power information obtained from the mobile device;

[0007] When it is determined that the predicted total power generation, the first power information and the second power information meet the preset recharging conditions, a recharging instruction is sent to the self-mobile device, and the recharging instruction is used to instruct the self-mobile device to return to the charging base station for charging.

[0008] According to one aspect of an embodiment of the present application, a charging control device is disclosed, which is applied to a charging base station, including:

[0009] A total power generation prediction module is used to calculate the predicted total power generation of the power generation modules connected to the charging base station within a target time period;

[0010] A power information acquisition module, configured to acquire first power information of the charging base station and second power information acquired from a mobile device;

[0011] An instruction sending module is used to send a recharge instruction to the self-mobile device when it is determined that the predicted total power generation, the first power information and the second power information meet the preset recharge conditions. The recharge instruction is used to instruct the self-mobile device to return to the charging base station for charging.

[0012] In an exemplary embodiment of the present application, the first power information includes a first remaining power of the charging base station, and the second power information includes a second remaining power of the mobile device; and the instruction sending module is configured to:

[0013] Calculating the sum of the first remaining power and the second remaining power to obtain a total remaining power;

[0014] When the predicted total power generation is greater than the remaining total power, the recharge instruction is sent to the mobile device.

[0015] In an exemplary embodiment of the present application, the first power information includes a first power requirement of the charging base station, and the second power information includes a second power requirement of the mobile device; and the instruction sending module is configured as follows:

[0016] Calculating the difference between the predicted total power generation and the first power demand to obtain power generation redundancy; the first power demand is the power demand when the charging base station is fully charged;

[0017] When the power generation redundancy is greater than the second required power, a first predicted time required for the charging base station to be fully charged is calculated; the second required power is the required power when the charging base station is fully charged;

[0018] The recharging instruction is sent to the mobile device, where the recharging instruction carries the first predicted duration, and the recharging instruction is used to instruct the mobile device to return to the charging base station for charging after the first predicted duration.

[0019] In an exemplary embodiment of the present application, the device is configured as follows:

[0020] When the power generation redundancy is less than or equal to the second required power, if the second remaining power of the self-mobile device is lower than a preset power threshold, the recharge instruction is sent to the self-mobile device.

[0021] In an exemplary embodiment of the present application, the total power generation prediction module is configured as follows:

[0022] Obtaining environmental parameters of the current environment of the power generation module;

[0023] The predicted total power generation is calculated based on the environmental parameters, the rated power generation power of the power generation module and the energy conversion efficiency of the power generation module.

[0024] In an exemplary embodiment of the present application, the total power generation prediction module is configured as follows:

[0025] determining a correction factor for the rated power generation according to the environmental parameters;

[0026] The power generation of the power generation module in the target time period is calculated based on the rated power generation power, the correction coefficient and the energy conversion efficiency to obtain the predicted total power generation.

[0027] In an exemplary embodiment of the present application, the power generation module is a wind power generation module and / or a photovoltaic power generation module.

[0028] According to one aspect of an embodiment of the present application, an electronic device is disclosed, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements any one of the above embodiments.

[0029] According to one aspect of an embodiment of the present application, a computer program medium is disclosed, on which computer-readable instructions are stored. When the computer-readable instructions are executed by a processor of a computer, the computer is caused to execute any one of the above embodiments.

[0030] According to one aspect of an embodiment of the present application, a computer program product or computer program is provided, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods provided in the various optional implementations described above.

[0031] In an embodiment of the present application, the charging base station calculates the predicted total power generation of the power generation module connected to it within the target time period, and obtains the first power information of the charging base station and the second power information of the self-mobile device. When it is determined that these three meet the preset recharge conditions, the charging base station can confirm that the power generated by the power generation module will be in excess, and the self-mobile device can digest the excess power. Therefore, when it is determined that these three meet the preset recharge conditions, the charging base station sends a recharge instruction to the self-mobile device, instructing the self-mobile device to return to the charging base station for charging, so as to timely digest the excess power, thereby reducing the waste of power generated by the power generation module.

[0032] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by practice of the present application.

[0033] It should be understood that the foregoing general description and the following detailed description are merely illustrative and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The above and other objects, features and advantages of the present application will become more apparent by describing in detail example embodiments thereof with reference to the attached drawings.

[0035] Figure 1 A schematic diagram of the organizational relationship between a power generation module, a charging base station, and a self-moving device according to an embodiment of the present application is shown.

[0036] Figure 2 A flow chart of a charging control method according to an embodiment of the present application is shown.

[0037] Figure 3 A block diagram of a charging control device according to an embodiment of the present application is shown.

[0038] Figure 4 A hardware diagram of an electronic device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0039] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of this application will be more comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The accompanying drawings are merely schematic illustrations of the present application and are not necessarily drawn to scale. Identical reference numerals in the figures indicate identical or similar parts, and thus repeated descriptions thereof will be omitted.

[0040] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present application. However, those skilled in the art will appreciate that the technical solutions of the present application may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring the main content and making various aspects of the present application vague.

[0041] Some of the blocks shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically independent entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0042] This application provides a charging control method for storing electrical energy generated by a power generation module and providing the stored electrical energy to a charging base station for a mobile device. The power generation module includes, but is not limited to, photovoltaic power generation modules and wind power generation modules; and the mobile device includes, but is not limited to, robot vacuums, robot lawn mowers, and vending robots.

[0043] Figure 1 A schematic diagram of the organizational relationship between the power generation module, the charging base station, and the mobile device in one embodiment of the present application is shown.

[0044] See also Figure 1 In one embodiment, a photovoltaic power generation module installed on a building or a charging base station uses solar energy to generate electricity, which is then transferred to the charging base station's battery for storage. The stored electricity in the charging base station can be provided to mobile devices to enable them to perform various tasks. While performing various tasks, the mobile devices can maintain a wireless connection with the charging base station via a Bluetooth module or other wireless communication module to receive instructions from the charging base station.

[0045] Understandably, the amount of energy that can be stored in the battery of a charging station is limited, while the photovoltaic power generation module, when able to collect solar energy, typically generates electricity continuously. This means that if the battery of the charging station is fully charged, the energy generated by the photovoltaic power generation module cannot be stored, resulting in wasted energy.

[0046] In order to solve the technical problem that the electric energy generated by the power generation module is wasted, the present application provides a charging control method to reduce the waste of the electric energy generated by the power generation module. Figure 2 A flow chart of the charging control method provided by this application is shown in FIG. Figure 2 The charging control method provided in this application is applied to a charging base station, and the method includes:

[0047] Step S110: Calculate the predicted total power generation of the power generation module connected to the charging base station within the target time period.

[0048] In this embodiment of the present application, the charging base station continuously calculates the predicted total power generation of the connected power generation module within a target time period, and determines whether the power generation module will generate excess electricity within the target time period based on the calculated predicted total power generation. The target time period is preferably a future time period of a certain length starting at the current time point.

[0049] For example, the charging base station continuously calculates the predicted total power generation of the power generation module in the next hour, thereby determining whether there will be excess electricity generated by the power generation module in the next hour.

[0050] Step S120: Acquire first power information of the charging base station and second power information from the mobile device.

[0051] It is understandable that whether the power generated by the power generation module is excessive depends not only on the amount of power that the power generation module can generate within the target time period (i.e., the total power generation predicted by the power generation module within the target time period), but also on the amount of power stored / still stored at the charging base station. Therefore, in order to determine whether the power generated by the power generation module is excessive, the first power information of the charging base station must be obtained.

[0052] Furthermore, in the embodiment of the present application, when the power generation module generates excess power, the self-moving device is controlled to consume the excess power to minimize power waste. Therefore, in order to determine whether the self-moving device can consume the excess power, the second power information of the self-moving device is also obtained.

[0053] Step S130: When it is determined that the predicted total power generation, the first power information, and the second power information meet the preset recharging condition, a recharging instruction is sent to the mobile device, where the recharging instruction is used to instruct the mobile device to return to the charging base station for charging.

[0054] After obtaining the predicted total power generation of the power generation module within the target time period, the first power information of the charging base station, and the second power information of the mobile device, it is possible to determine whether the power generated by the power generation module will be excessive and whether the mobile device can digest the excess power by judging whether these three meet the preset recharging conditions.

[0055] When these three conditions meet the preset recharge conditions, it is confirmed that the power generation module is generating excess energy and that the mobile device can absorb the excess energy. Therefore, the charging base station sends a recharge instruction to the mobile device. After receiving the recharge instruction, the mobile device returns to the charging base station and then docks with the charging base station to charge. Charging the mobile device transfers some of the energy stored in the charging base station to the mobile device, freeing up more energy storage space at the charging base station and reducing the waste of energy generated by the power generation module.

[0056] In one embodiment, calculating the predicted total power generation of a power generation module connected to a charging base station within a target time period includes:

[0057] Obtain the environmental parameters of the current environment of the power generation module;

[0058] The total power generation is calculated and predicted based on environmental parameters, the rated power generation of the power generation module and the energy conversion efficiency of the power generation module.

[0059] Specifically, in this embodiment, the power generation module is primarily a photovoltaic power generation module or a wind power generation module. The power generation capacity of both photovoltaic and wind power generation modules is affected by the environment in which they are located. For example, the power generation capacity of a photovoltaic power generation module is primarily affected by sunlight intensity, while the power generation capacity of a wind power generation module is primarily affected by wind intensity.

[0060] Therefore, in order to calculate the predicted total power generation of the power generation module within the target time period, the environmental parameters of the power generation module's current environment are obtained. Environmental parameters include but are not limited to: current season, current time, current temperature, current weather conditions, current light intensity, current wind intensity, etc.

[0061] The obtained environmental parameters primarily describe the degree to which the power generation module's current environment affects its rated power generation capacity. Therefore, once the environmental parameters are obtained, they can be combined with the module's rated power generation capacity and its energy conversion efficiency to accurately calculate the predicted total power generation capacity. The energy conversion efficiency of a power generation module primarily describes how efficiently it converts solar or wind energy into electrical energy.

[0062] In one embodiment, the predicted total power generation is calculated based on environmental parameters, the rated power generation of the power generation module, and the energy conversion efficiency of the power generation module, including:

[0063] Determine the correction factor for the rated power generation according to environmental parameters;

[0064] Based on the rated power generation, correction factor and energy conversion efficiency, the power generation of the power generation module in the target time period is calculated to obtain the predicted total power generation.

[0065] Specifically, in this embodiment, the environmental parameters may be converted into correction coefficients for correcting the rated power generation power of the power generation module according to an empirical formula or a fitting function obtained in advance through data fitting.

[0066] After obtaining the modification coefficient, multiply it by the rated power generation to obtain the actual power generation of the power generation module in the current environment. Then, combined with the actual power generation and energy conversion efficiency, the power generation of the power generation module during the target time period is calculated to obtain the predicted total power generation.

[0067] In one embodiment, the power generation module is a photovoltaic power generation module. Let the target time period be x, and the predicted total power generation of the photovoltaic power generation module within the target time period be SOCX. SOCX can be calculated using the following formula:

[0068] SOCX=∫W*f(x)*Kdx

[0069]

[0070] Where W is the rated power of the power generation module; f(x) is the correction factor; K is the energy conversion efficiency; x is the illumination time, x∈(1,12]; μ is the illumination intensity; σ is the standard deviation of the illumination intensity.

[0071] In one embodiment, the first power information includes a first remaining power of the charging base station, and the second power information includes a second remaining power of the mobile device.

[0072] In this embodiment, when it is determined that the predicted total power generation, the first power information, and the second power information meet the preset recharge condition, sending a recharge instruction to the mobile device includes:

[0073] Calculating the sum of the first remaining power and the second remaining power to obtain the total remaining power;

[0074] When the total power generation is predicted to be greater than the remaining total power, a recharge instruction is sent to the mobile device.

[0075] Specifically, in this embodiment, the preset recharge condition is: the total predicted power generation of the power generation module within the target time period is greater than the sum of the first remaining power of the charging base station and the second remaining power of the mobile device, that is, greater than the total remaining power.

[0076] It should be noted that when the charging base station is not connected to a mobile device to power it, its first remaining power level is generally not too low. Therefore, if the predicted total power generation is greater than the total remaining power level, it indicates that the second remaining power level of the mobile device is very low. In this case, if the mobile device is not promptly recalled for charging, it will lose power and become immobile, making it unable to dock with the charging base station. As a result, the mobile device will be unable to absorb the excess power from the power generation module, ultimately wasting the power generated by the power generation module.

[0077] Therefore, in this case, the charging base station sends a recharging instruction to the mobile device, calling back the mobile device for charging in time, ensuring that the mobile device has sufficient power while maintaining its power absorption capacity, thereby reducing the waste of electricity generated by the power generation module.

[0078] In one embodiment, the first power information includes a first power requirement of the charging base station, and the second power information includes a second power requirement of the mobile device.

[0079] In this embodiment, when it is determined that the predicted total power generation, the first power information, and the second power information meet the preset recharge condition, sending a recharge instruction to the mobile device includes:

[0080] Calculate the difference between the predicted total power generation and the first power demand to obtain the power generation redundancy; the first power demand is the power demand when the charging base station is fully charged;

[0081] When the power generation redundancy is greater than the second power requirement, a first predicted time required for the charging base station to be fully charged is calculated; the second power requirement is the power requirement when the charging base station is fully charged;

[0082] A recharge instruction is sent to the mobile device, the recharge instruction carries a first predicted duration, and the recharge instruction is used to instruct the mobile device to return to the charging base station for charging after the first predicted duration.

[0083] Specifically, in this embodiment, the preset recharge condition is: the power generation redundancy of the power generation module is greater than the second power demand of the mobile device, compared to the first power demand of the charging base station. The first power demand of the charging base station is the power required to fully charge the charging base station, while the second power demand of the mobile device is the power required to fully charge the mobile device.

[0084] Furthermore, when the preset recharge conditions are met, the charging base station does not rush to call the mobile device back for charging. Instead, it first calculates the first predicted duration required for the charging base station to fully charge. Then, in the recharge instruction, it instructs the mobile device to return to the charging base station for charging after the first predicted duration. This method reduces the waste of power generated by the power generation module while also ensuring the continuity of the mobile device's movement or operation while outdoors, minimizing the need for frequent recharging of the mobile device.

[0085] In one embodiment, after the step of calculating the difference between the predicted total power generation and the first power demand to obtain the power generation redundancy, the method further includes:

[0086] When the power generation redundancy is less than or equal to the second required power, if the second remaining power of the self-mobile device is lower than a preset power threshold, a recharge instruction is sent to the self-mobile device.

[0087] Specifically, in this embodiment, if the power generation redundancy is less than or equal to the second power requirement of the mobile device, and the second remaining power of the mobile device exceeds the first preset power threshold, it indicates that the mobile device is in a low power state and needs to be promptly recalled for charging. Therefore, in this case, the charging base station also issues a recharge instruction to the mobile device, promptly recalling the mobile device for charging. This ensures that the mobile device has sufficient power and maintains its power consumption capacity, thereby reducing the waste of power generated by the power generation module.

[0088] Figure 3 A block diagram of a charging control device according to an embodiment of the present application is shown. The device is applied to a charging base station and includes:

[0089] A total power generation prediction module 210 is used to calculate the predicted total power generation of the power generation modules connected to the charging base station within a target time period;

[0090] The power information acquisition module 220 is configured to acquire first power information of the charging base station and second power information obtained from the mobile device;

[0091] The instruction sending module 230 is used to send a recharge instruction to the self-mobile device when it is determined that the predicted total power generation, the first power information and the second power information meet the preset recharge conditions. The recharge instruction is used to instruct the self-mobile device to return to the charging base station for charging.

[0092] In an exemplary embodiment of the present application, the first power information includes a first remaining power of the charging base station, and the second power information includes a second remaining power of the mobile device; and the instruction sending module is configured to:

[0093] Calculating the sum of the first remaining power and the second remaining power to obtain a total remaining power;

[0094] When the predicted total power generation is greater than the remaining total power, the recharge instruction is sent to the mobile device.

[0095] In an exemplary embodiment of the present application, the first power information includes a first power requirement of the charging base station, and the second power information includes a second power requirement of the mobile device; and the instruction sending module is configured as follows:

[0096] Calculating the difference between the predicted total power generation and the first power demand to obtain power generation redundancy; the first power demand is the power demand when the charging base station is fully charged;

[0097] When the power generation redundancy is greater than the second required power, a first predicted time required for the charging base station to be fully charged is calculated; the second required power is the required power when the charging base station is fully charged;

[0098] The recharging instruction is sent to the mobile device, where the recharging instruction carries the first predicted duration, and the recharging instruction is used to instruct the mobile device to return to the charging base station for charging after the first predicted duration.

[0099] In an exemplary embodiment of the present application, the device is configured as follows:

[0100] When the power generation redundancy is less than or equal to the second required power, if the second remaining power of the self-mobile device is lower than a preset power threshold, the recharge instruction is sent to the self-mobile device.

[0101] In an exemplary embodiment of the present application, the total power generation prediction module is configured as follows:

[0102] Obtaining environmental parameters of the current environment of the power generation module;

[0103] The predicted total power generation is calculated based on the environmental parameters, the rated power generation power of the power generation module and the energy conversion efficiency of the power generation module.

[0104] In an exemplary embodiment of the present application, the total power generation prediction module is configured as follows:

[0105] determining a correction factor for the rated power generation according to the environmental parameters;

[0106] The power generation of the power generation module in the target time period is calculated based on the rated power generation power, the correction coefficient and the energy conversion efficiency to obtain the predicted total power generation.

[0107] In an exemplary embodiment of the present application, the power generation module is a wind power generation module and / or a photovoltaic power generation module.

[0108] Reference below Figure 4 The electronic device 30 according to the embodiment of the present application is described. Figure 4 The electronic device 30 shown is only an example and should not limit the functions and scope of use of the embodiments of the present application.

[0109] like Figure 4 As shown, the electronic device 30 is implemented as a general-purpose computing device. Components of the electronic device 30 may include, but are not limited to, the aforementioned at least one processing unit 310, the aforementioned at least one storage unit 320, and a bus 330 connecting various system components (including the storage unit 320 and the processing unit 310).

[0110] The storage unit stores program codes that can be executed by the processing unit 310, so that the processing unit 310 performs the steps according to various exemplary embodiments of the present invention described in the description of the exemplary method above. For example, the processing unit 310 may perform the following steps: Figure 1 The steps shown in .

[0111] The storage unit 320 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 3201 and / or a cache memory unit 3202 , and may further include a read-only memory unit (ROM) 3203 .

[0112] The storage unit 320 may also include a program / utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0113] Bus 330 may represent one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0114] The electronic device 30 can also communicate with one or more external devices 400 (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 30, and / or any device that enables the electronic device 30 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). This communication can occur via an input / output (I / O) interface 350. The I / O interface 350 is connected to a display unit 340. Furthermore, the electronic device 30 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 360. As shown, the network adapter 360 communicates with other modules of the electronic device 30 via the bus 330. It should be understood that, although not shown in the figure, other hardware and / or software modules can be used in conjunction with the electronic device 30, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0115] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present application.

[0116] In an exemplary embodiment of the present application, a computer-readable storage medium is further provided, on which computer-readable instructions are stored. When the computer-readable instructions are executed by a processor of a computer, the computer executes the method described in the above method embodiment.

[0117] According to one embodiment of the present application, a program product for implementing the method in the above method embodiment is also provided. The program product may be a portable compact disc read-only memory (CD-ROM) and includes program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited thereto. In this document, a readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0118] The program product may be implemented in any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0119] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0120] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0121] The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as JAVA, C++, and the like, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0122] It should be noted that, although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiment of the application, the features and functions of two or more modules or units described above can be concretized in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into multiple modules or units to be concretized.

[0123] Furthermore, although the steps of the method of the present application are described in a particular order in the accompanying drawings, this does not require or imply that the steps must be performed in this particular order, or that all steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0124] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.

[0125] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered merely as exemplary, and the true scope and spirit of the present application are indicated by the appended claims.

Claims

1. A charging control method, applied to a charging base station, characterized in that: include: Calculating the predicted total power generation of the power generation module connected to the charging base station within a target time period; Obtaining first power information of the charging base station and second power information from the mobile device, wherein the first power information includes a first remaining power and a first required power of the charging base station, and the second power information includes a second remaining power and a second required power of the mobile device; calculating the sum of the first remaining power and the second remaining power to obtain a total remaining power, and sending a recharge instruction to the self-mobile device when the predicted total power generation is greater than the total remaining power, the recharge instruction being used to instruct the self-mobile device to return to the charging base station for charging; or Calculate the difference between the predicted total power generation and the first power demand to obtain power generation redundancy, and when the power generation redundancy is greater than the second power demand, calculate the first predicted duration required for the charging base station to be fully charged, and send the recharge instruction to the self-mobile device, the recharge instruction carrying the first predicted duration; the first power demand is the power demand when the charging base station is fully charged, the second power demand is the power demand when the charging base station is fully charged, and the recharge instruction is used to instruct the self-mobile device to return to the charging base station for charging after the first predicted duration.

2. The method according to claim 1, characterized in that After the step of calculating the difference between the predicted total power generation and the first required power generation to obtain power generation redundancy, the method further includes: When the power generation redundancy is less than or equal to the second required power, if the second remaining power of the self-mobile device is lower than a preset power threshold, the recharge instruction is sent to the self-mobile device.

3. The method according to claim 1, characterized in that The calculating of the predicted total power generation of the power generation module connected to the charging base station within the target time period includes: Obtaining environmental parameters of the current environment of the power generation module; The predicted total power generation is calculated based on the environmental parameters, the rated power generation power of the power generation module and the energy conversion efficiency of the power generation module.

4. The method according to claim 3, characterized in that The calculating the predicted total power generation based on the environmental parameters, the rated power generation power of the power generation module, and the energy conversion efficiency of the power generation module includes: determining a correction factor for the rated power generation according to the environmental parameters; The power generation of the power generation module in the target time period is calculated based on the rated power generation power, the correction coefficient and the energy conversion efficiency to obtain the predicted total power generation.

5. The method according to any one of claims 1 to 4, characterized in that The power generation module is a wind power generation module and / or a photovoltaic power generation module.

6. A charging control device, applied to a charging base station, characterized in that: include: A total power generation prediction module is used to calculate the predicted total power generation of the power generation modules connected to the charging base station within a target time period; a power information acquisition module, configured to acquire first power information of the charging base station and second power information from the mobile device, wherein the first power information includes a first remaining power and a first required power of the charging base station, and the second power information includes a second remaining power and a second required power of the mobile device; an instruction sending module, configured to calculate the sum of the first remaining power and the second remaining power to obtain a total remaining power, and to send a recharge instruction to the self-mobile device when the predicted total power generation is greater than the total remaining power; the recharge instruction is used to instruct the self-mobile device to return to the charging base station for charging; or The instruction sending module is further used to calculate the difference between the predicted total power generation and the first required power to obtain power generation redundancy, and when the power generation redundancy is greater than the second required power, calculate the first predicted time required for the charging base station to be fully charged, and send the recharge instruction to the self-mobile device, the recharge instruction carrying the first predicted time; the first required power is the required power when the charging base station is fully charged, the second required power is the required power when the charging base station is fully charged, and the recharge instruction is used to instruct the self-mobile device to return to the charging base station for charging after the first predicted time.

7. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that Computer-readable instructions are stored thereon, and when the computer-readable instructions are executed by a processor of an electronic device, the electronic device executes the method according to any one of claims 1 to 5.

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