Optical storage and charging method and device for micro-grid, computer device and storage medium

Abstract

The present application relates to the technical field of photovoltaic charging, and particularly relates to a photovoltaic storage and charging method and device for a microgrid, computer equipment and a storage medium, the photovoltaic storage and charging method for the microgrid comprising the following steps: obtaining a vehicle charging request triggered by a user, obtaining a vehicle charging amount to be charged according to the vehicle charging request; obtaining charging pile storage energy information, and obtaining charging pile charging capacity data from the charging pile storage energy information; obtaining charging pile recommendation data according to the charging pile charging capacity data and the vehicle charging amount to be charged, and obtaining a charging recommendation route according to the charging pile recommendation and the vehicle charging request; and sending the charging recommendation route to a corresponding customer terminal according to the vehicle charging request. The present application has the effect of improving the charging management control of photovoltaic charging piles.

Description

Technical Field

[0001] This invention relates to the technical field of photovoltaic charging, and in particular to a photovoltaic charging method, apparatus, computer equipment, and storage medium for microgrids. Background Technology

[0002] Currently, "photovoltaic-storage-charging" involves converting solar energy into electrical energy through a photovoltaic system and storing it in an energy storage system to charge electric vehicles. It is a high-tech green charging mode that coordinates and supports new energy sources, energy storage, and smart charging. "Photovoltaic-storage-charging" refers to charging piles that integrate "photovoltaics + energy storage + charging." It is an application of microgrids and a new business model that has emerged against the backdrop of the country's vigorous promotion of electric vehicles, the expansion of the charging pile market, and the inclusion of energy storage in major energy development projects. Therefore, it is necessary to continuously improve the control and management of photovoltaic charging. Summary of the Invention

[0003] To improve the charging management and control of photovoltaic charging piles, this application provides a photovoltaic-storage-charging method, apparatus, computer equipment, and storage medium for microgrids.

[0004] The above-mentioned objective of this application is achieved through the following technical solution:

[0005] A method for optical energy storage and charging for microgrids, the method comprising:

[0006] Get the vehicle charging request triggered by the user, and get the amount of the vehicle to be charged based on the vehicle charging request;

[0007] Obtain energy storage information of charging piles, and obtain charging capacity data of charging piles from the energy storage information of charging piles;

[0008] Based on the charging capacity data of the charging piles and the amount of vehicle waiting to be charged, charging pile recommendation data is obtained, and charging recommendation routes are obtained based on the charging pile recommendations and the vehicle charging requests.

[0009] The recommended charging route is sent to the corresponding customer terminal based on the vehicle charging request.

[0010] By adopting the above technical solution, when a user needs to charge their vehicle, the system can match the vehicle's remaining charge capacity with the charging capacity data of the charging pile, and then recommend the corresponding charging pile. This allows the vehicle to go to the corresponding charging pile based on the recommended data. Furthermore, by incorporating the actual situation of the charging pile when outputting the recommended charging pile data, the system can better match the actual situation of the vehicle that initiated the charging request, thereby improving the management capabilities of photovoltaic charging piles.

[0011] In a preferred embodiment, this application can be further configured as follows: obtaining charging pile energy storage information and obtaining charging pile charging capacity data from the charging pile energy storage information specifically includes:

[0012] The charging pile identifier is obtained based on the charging pile energy storage information, and the corresponding historical charging information of the charging pile is obtained based on the charging pile identifier.

[0013] The charging pile capacity data corresponding to each charging pile identifier is calculated based on the historical charging information of the charging pile.

[0014] By adopting the above technical solution, the charging capacity data corresponding to each charging pile can be calculated based on the historical charging information of each charging pile. This allows the system to match the most suitable charging pile to the user based on the charging capacity data, thereby meeting the user's optimal charging needs and improving the management of charging piles.

[0015] In a preferred embodiment, this application can be further configured such that: calculating the charging pile capacity data corresponding to each charging pile identifier based on the historical charging information of the charging pile specifically includes:

[0016] Based on the historical charging information of each charging pile, obtain the corresponding vehicle type information, and based on the vehicle type information, obtain the corresponding average charging time.

[0017] The historical charging timeliness of each vehicle type is obtained from the historical charging information of each charging pile, and the charging pile capacity data is calculated based on the historical power supply timeliness and the average charging timeliness.

[0018] By adopting the above technical solution, since the charging capacity of each type of vehicle is different, the average charging time corresponding to each type of vehicle can be extracted, thereby more accurately calculating the charging efficiency of the charging pile and improving the accuracy of the charging pile capacity data for each charging pile.

[0019] In a preferred embodiment, this application can be further configured as follows: obtaining the historical charging timeliness of each vehicle type information from the historical charging information of each charging pile, and calculating the charging pile capacity data based on the historical power supply timeliness and the average charging timeliness, specifically includes:

[0020] Obtain the charging pile identifier corresponding to the historical charging information of each charging pile and the battery usage time of each historically charged vehicle;

[0021] The charging pile capacity data is calculated by inputting the battery usage time, historical power supply time, and average charging time corresponding to each charging pile identifier into the following formula:

[0022] Where S refers to the charging pile capacity data, n refers to the number of vehicles historically charged by each charging pile identifier, h refers to the historical power supply duration, p refers to the average charging duration, t refers to the battery usage time, and x refers to the correction variable, where 0 < n < 0. <x<1。

[0023] By adopting the above technical solution, when calculating the charging pile capacity data, it is possible to calculate the difference between the average charging time corresponding to each type of vehicle charged by the charging pile and the total historical power supply time of that type of vehicle. Based on the difference between the average charging time and the historical power supply time, the corresponding charging pile capacity data can be calculated. Furthermore, when calculating this difference, the variable factor of the battery usage time of each historical vehicle is added to reduce the problem of slow charging efficiency due to the vehicle's own battery affecting the accuracy of the calculated charging capacity data, thereby further improving the accuracy of the charging pile capacity data.

[0024] In a preferred embodiment, this application can be further configured as follows: obtaining charging pile recommendation data based on the charging pile's charging capacity data and the vehicle's waiting-to-charge amount, and obtaining a recommended charging route based on the charging pile recommendation and the vehicle's charging request, specifically includes:

[0025] The vehicle's driving distance is obtained based on the vehicle's remaining charge amount, and the radius of the charging station is obtained based on the vehicle's driving distance.

[0026] Based on the energy storage information of the charging pile and the acquisition radius of the charging pile, the identifiers of the candidate charging piles are obtained, and the recommended charging pile data are obtained by filtering based on the charging pile capacity data of the candidate charging pile identifiers.

[0027] By adopting the above technical solution, the vehicle's driving distance is calculated based on the amount of electricity the vehicle needs to charge, and then the corresponding charging pile radius is obtained. This ensures that when a user goes to the corresponding charging pile based on the charging pile recommendation data, the vehicle's remaining battery power is sufficient to support the vehicle's journey to the corresponding charging pile.

[0028] The second objective of this invention is achieved through the following technical solution:

[0029] A photovoltaic energy storage and charging device for a microgrid, the photovoltaic energy storage and charging device for a microgrid comprising:

[0030] The power acquisition module is used to acquire a vehicle charging request triggered by a user and to acquire the amount of power the vehicle needs to be charged based on the vehicle charging request.

[0031] The charging capacity acquisition module is used to acquire energy storage information of the charging pile and obtain charging capacity data of the charging pile from the energy storage information of the charging pile.

[0032] The route recommendation module is used to obtain charging pile recommendation data based on the charging capacity data of the charging pile and the amount of vehicle waiting to be charged, and to obtain a recommended charging route based on the charging pile recommendation and the vehicle charging request.

[0033] The result sending module is used to send the recommended charging route to the corresponding customer terminal according to the vehicle charging request.

[0034] By adopting the above technical solution, when a user needs to charge their vehicle, the system can match the vehicle's remaining charge capacity with the charging capacity data of the charging pile, and then recommend the corresponding charging pile. This allows the vehicle to go to the corresponding charging pile based on the recommended data. Furthermore, by incorporating the actual situation of the charging pile when outputting the recommended charging pile data, the system can better match the actual situation of the vehicle that initiated the charging request, thereby improving the management capabilities of photovoltaic charging piles.

[0035] The above-mentioned objective three of this application is achieved through the following technical solution:

[0036] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described optical storage and charging method for microgrids.

[0037] The fourth objective of this application is achieved through the following technical solution:

[0038] A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described optical storage and charging method for microgrids.

[0039] In summary, this application includes at least one of the following beneficial technical effects:

[0040] 1. When a user needs to charge their vehicle, the system can match the vehicle's remaining charge capacity with the charging capacity data of the charging pile, and then recommend the corresponding charging pile. This allows the vehicle to go to the appropriate charging pile based on the recommended data. When outputting the charging pile recommendation data, the system takes into account the actual situation of the charging pile, making the recommended data more consistent with the actual situation of the vehicle that made the charging request, thereby improving the management capability of the photovoltaic charging pile.

[0041] 2. When calculating the charging pile capacity data, it can calculate the difference between the average charging time for each type of vehicle and the total historical power supply time for that type of vehicle. Based on the difference between the average charging time and the historical power supply time, the corresponding charging pile capacity data can be calculated. In addition, when calculating the difference, the variable factor of the battery usage time of each historical vehicle is added to reduce the problem that the charging efficiency is slow due to the vehicle's own battery and affects the accuracy of the calculated charging capacity data, thereby further improving the accuracy of the charging pile capacity data.

[0042] 3. Calculate the vehicle's driving distance based on the amount of electricity the vehicle needs to charge, and then obtain the corresponding charging pile radius. This ensures that when a user goes to the corresponding charging pile based on the charging pile recommendation data, the vehicle's remaining battery power is sufficient to support the vehicle's journey to the charging pile. Attached Figure Description

[0043] Figure 1 This is a flowchart of a method for optical energy storage and charging for microgrids in one embodiment of this application;

[0044] Figure 2 This is a flowchart illustrating the implementation of step S20 in a method for optical storage and charging of microgrids in one embodiment of this application.

[0045] Figure 3 This is a flowchart illustrating the implementation of step S22 in a method for optical storage and charging of microgrids in one embodiment of this application.

[0046] Figure 4 This is a flowchart illustrating the implementation of step S222 in a method for optical storage and charging of microgrids according to an embodiment of this application.

[0047] Figure 5 This is a flowchart illustrating the implementation of step S30 in a method for optical storage and charging of microgrids in one embodiment of this application.

[0048] Figure 6 This is a schematic block diagram of a photovoltaic energy storage and charging device for a microgrid in one embodiment of this application;

[0049] Figure 7This is a schematic diagram of a device according to one embodiment of this application. Detailed Implementation

[0050] The present application will be further described in detail below with reference to the accompanying drawings.

[0051] In one embodiment, such as Figure 1 As shown, this application discloses a method for optical energy storage and charging for microgrids, which specifically includes the following steps:

[0052] S10: Obtain the vehicle charging request triggered by the user, and obtain the amount of vehicle charge to be obtained based on the vehicle charging request.

[0053] In this embodiment, a vehicle charging request refers to information triggered by a user, requesting the search for a corresponding charging station to charge the vehicle. Vehicle charge amount refers to the amount of electricity the user's vehicle needs to charge.

[0054] Specifically, when a user needs to charge a new energy vehicle, the vehicle's current battery level, obtained by the vehicle's battery management system, can be sent to the user's mobile terminal through a data transmission mechanism that links the vehicle with the user's mobile terminal. The amount of electricity required to fully charge the battery, i.e., the amount of electricity to be charged, can be calculated based on the current battery level. When the user triggers a charging request, the amount of electricity to be charged can be obtained from the charging request.

[0055] S20: Obtain charging pile energy storage information and extract charging pile charging capacity data from the charging pile energy storage information.

[0056] In this embodiment, the charging pile energy storage information refers to the amount of electricity currently stored in each charging pile. The charging pile charging capacity data refers to the efficiency data of the charging pile in charging vehicles.

[0057] Specifically, the system obtains the current stored power of charging piles within a certain range of the user who triggered the vehicle's charging request, selects charging piles that can meet the vehicle's charging needs, thus obtaining charging pile energy storage information, and extracts the historical charging records of the charging pile for the vehicle from the energy storage information of each charging pile, thereby calculating the corresponding charging pile charging capacity data.

[0058] S30: Based on the charging capacity data of the charging piles and the amount of electricity waiting to be charged by the vehicles, obtain the recommended charging pile data, and obtain the recommended charging route based on the charging pile recommendations and the vehicle charging requests.

[0059] Specifically, based on the charging capacity data of each charging pile, that is, the time required for each charging pile to complete the charging of a vehicle, charging piles within a preset time are selected to form charging pile recommendation data. Then, based on the current location of the user who triggered the charging request and the location of each charging pile in the charging pile recommendation data, a corresponding charging recommendation route is generated.

[0060] S40: Sends a recommended charging route to the corresponding customer terminal based on the vehicle's charging request.

[0061] Specifically, the recommended charging route corresponding to the charging pile recommendation data is sent to the customer terminal that triggered the charging request. When the user selects any charging pile in the charging pile recommendation data as the target charging pile, the corresponding recommended charging route is displayed on the customer terminal so that the user can go there.

[0062] In this embodiment, when a user needs to charge a vehicle, the system uses the vehicle's remaining charge amount and the charging capacity data of the charging pile to match the vehicle with recommended charging pile data. This allows the vehicle to proceed to the recommended charging pile based on the data. Furthermore, by incorporating the actual conditions of the charging piles when outputting the recommended charging pile data, the system ensures that the data closely matches the actual situation of the vehicle requesting charging, thereby improving the management capabilities of the photovoltaic charging piles.

[0063] In one embodiment, such as Figure 2 As shown, in step S20, namely obtaining the charging pile energy storage information and retrieving the charging pile charging capacity data from the charging pile energy storage information, the specific steps include:

[0064] S21: Obtain the charging pile identifier based on the charging pile energy storage information, and obtain the corresponding historical charging information of the charging pile based on the charging pile identifier.

[0065] Specifically, each time a charging station charges a vehicle, it records and stores data such as the type of vehicle being charged, the amount of electricity being charged, and the charging time, thus forming corresponding historical charging information.

[0066] Furthermore, based on the selected charging pile energy storage information, the corresponding charging pile identifier is obtained from each charging pile energy storage information, and all historical charging information associated with each charging pile identifier is obtained.

[0067] S22: Calculate the charging capacity data corresponding to each charging pile identifier based on the historical charging information of the charging pile.

[0068] Specifically, the charging vehicle type, charging duration, and charging amount information in each historical charging information of each charging pile are analyzed and calculated to obtain the charging pile capacity data corresponding to each charging pile.

[0069] In one embodiment, such as Figure 3 As shown, in step S22, the charging pile capacity data corresponding to each charging pile identifier is calculated based on the historical charging information of the charging piles. This specifically includes:

[0070] S221: Obtain the corresponding vehicle type information from the historical charging information of each charging pile, and obtain the corresponding average charging time based on the vehicle type information.

[0071] In this embodiment, vehicle type information refers to the brand and model information of each new energy vehicle. Average charging time refers to the amount of charging per unit time when the charging pile charges each vehicle of that type.

[0072] Specifically, from the historical information of charging piles in each charging group, each model of each new energy vehicle brand is taken as a category, and the total charging amount and time taken when charging each type of vehicle are obtained, and then the average charging time is calculated.

[0073] S222: Obtain the historical charging timeliness of each vehicle type from the historical charging information of each charging pile, and calculate the charging pile capacity data based on the historical power supply timeliness and the average charging timeliness.

[0074] In this embodiment, historical charging time refers to the amount of charge per unit time for each vehicle type when charging at different charging stations.

[0075] Specifically, the average charging time for each vehicle in each vehicle type information at different charging stations is obtained, and the historical charging time for that vehicle type information is calculated. Further, the charging station capacity data for each charging station is calculated based on the historical charging time and the average charging time.

[0076] In one embodiment, such as Figure 4 As shown, in step S222, the historical charging timeliness of each vehicle type is obtained from the historical charging information of each charging pile, and the charging pile capacity data is calculated based on the historical power supply timeliness and the average charging timeliness. Specifically, this includes:

[0077] S2221: Obtain the charging pile identifier corresponding to the historical charging information of each charging pile and the battery usage time of each historically charged vehicle.

[0078] Specifically, when each vehicle is being charged, the battery management system obtains the battery usage time from the first use of the vehicle, which is then used as the battery usage time.

[0079] S2222: Input the battery usage time, historical power supply time, and average charging time corresponding to each charging pile identifier into the following formula to calculate the charging pile capacity data:

[0080] Where S refers to the charging pile capacity data, n refers to the number of vehicles historically charged by each charging pile identifier, h refers to the historical power supply duration, p refers to the average charging duration, t refers to the battery usage time, and x refers to the correction variable, where 0 < n < 0. <x<1。

[0081] Specifically, the longer a new energy vehicle is used, the greater the wear and tear on the battery. Charging efficiency at the same charging station will vary depending on the degree of battery wear. Therefore, when calculating the charging capacity data for each charging station, the battery's usage time needs to be factored in to minimize its impact. Under the same historical power supply time and average charging time, a longer battery usage time results in a higher calculated value. Therefore, after determining the specific value of the correction variable x based on actual big data statistical analysis and obtaining the number of vehicles historically charged at each charging station, the average charging time, battery usage time, and historical power supply time for each type of new energy vehicle in the vehicle type information of that charging station are input into the above formula to calculate the charging capacity data S for that charging station.

[0082] In one embodiment, such as Figure 5 As shown, in step S30, based on the charging capacity data of the charging piles and the amount of electricity the vehicle needs to charge, recommended charging pile data is obtained, and a recommended charging route is obtained based on the recommended charging piles and the vehicle charging request. Specifically, this includes:

[0083] S31: Obtain the vehicle's driving distance based on the amount of electricity the vehicle needs to charge, and obtain the charging pile's radius based on the vehicle's driving distance.

[0084] Specifically, based on the amount of electricity the vehicle needs to be charged, the remaining battery power of the vehicle is calculated, and then the corresponding driving distance of the vehicle is obtained based on the remaining battery power, that is, the maximum distance that the current vehicle can travel under the current road conditions. This driving distance of the vehicle is then used as the radius for obtaining the charging station.

[0085] S32: Obtain candidate charging pile identifiers based on charging pile energy storage information and charging pile acquisition radius, and filter to obtain recommended charging pile data based on the charging pile capacity data of the candidate charging pile identifiers.

[0086] Specifically, the system matches the corresponding charging pile identifiers based on the charging pile acquisition radius, and filters out charging piles that can meet the vehicle's charging needs based on the remaining power of the charging piles in the charging pile energy storage information. Furthermore, it filters out charging pile identifiers with scores higher than a preset threshold based on charging capacity data, and these are selected as candidate charging pile identifiers. Optionally, since the charging capacity data represents the charging efficiency of each charging pile, when selecting candidate charging pile identifiers, a corresponding expected charging time can be sent to the customer terminal. When the user selects different charging time expectations, different results and numbers of candidate charging pile identifiers can be obtained from the charging pile identifiers matched from the charging pile acquisition radius, allowing the user to have more candidate charging piles to choose from based on their actual needs.

[0087] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0088] In one embodiment, a photovoltaic (PV) energy storage and charging device for a microgrid is provided, which corresponds one-to-one with the PV energy storage and charging method for a microgrid described in the above embodiments. For example... Figure 6 As shown, the photovoltaic energy storage and charging device for microgrids includes a power acquisition module, a charging capacity acquisition module, a route recommendation module, and a result transmission module. Detailed descriptions of each functional module are as follows:

[0089] The power acquisition module is used to acquire vehicle charging requests triggered by users and to acquire the amount of power the vehicle needs to be charged based on the vehicle charging requests.

[0090] The charging capacity acquisition module is used to acquire energy storage information of the charging pile and obtain charging capacity data of the charging pile from the energy storage information.

[0091] The route recommendation module is used to obtain charging pile recommendation data based on the charging capacity data of the charging piles and the amount of vehicles waiting to be charged, and to obtain a recommended charging route based on the charging pile recommendations and vehicle charging requests.

[0092] The result sending module is used to send the recommended charging route to the corresponding customer terminal based on the vehicle charging request.

[0093] Optionally, the charging capability acquisition module includes:

[0094] The historical data acquisition submodule is used to obtain the charging pile identifier based on the charging pile energy storage information, and to obtain the corresponding historical charging information of the charging pile based on the charging pile identifier.

[0095] The capacity calculation submodule is used to calculate the charging pile capacity data corresponding to each charging pile identifier based on the historical charging information of the charging pile.

[0096] Optional, the capacity calculation submodule includes:

[0097] The timeliness acquisition unit is used to obtain the corresponding vehicle type information from the historical charging information of each charging pile, and to obtain the corresponding average charging timeliness based on the vehicle type information.

[0098] The capacity calculation unit is used to obtain the historical charging timeliness of each vehicle type from the historical charging information of each charging pile, and calculate the charging pile capacity data based on the historical power supply timeliness and the average charging timeliness.

[0099] Optionally, the capacity calculation unit includes:

[0100] The charging time acquisition subunit is used to acquire the charging pile identifier corresponding to the historical charging information of each charging pile and the battery usage time of each historically charged vehicle.

[0101] The capacity calculation subunit includes inputting the battery usage time, historical power supply time, and average charging time corresponding to each charging pile identifier into the following formula to calculate the charging pile capacity data:

[0102] Where S refers to the charging pile capacity data, n refers to the number of vehicles historically charged by each charging pile identifier, h refers to the historical power supply duration, p refers to the average charging duration, t refers to the battery usage time, and x refers to the correction variable, where 0 < n < 0. <x<1。

[0103] Optionally, the result sending module includes:

[0104] The radius acquisition submodule is used to obtain the vehicle's driving distance based on the vehicle's amount of charge, and to obtain the radius of the charging pile based on the vehicle's driving distance.

[0105] The result filtering submodule is used to obtain the identifiers of candidate charging piles based on the energy storage information and the charging pile acquisition radius, and to filter and obtain recommended charging pile data based on the charging pile capacity data of the candidate charging pile identifiers.

[0106] Specific limitations regarding the optical storage and charging device used in microgrids can be found in the limitations of the optical storage and charging method used in microgrids mentioned above, and will not be repeated here. Each module in the aforementioned optical storage and charging device for microgrids can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0107] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements an optical energy storage and charging method for a microgrid.

[0108] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0109] Get the vehicle charging request triggered by the user, and get the amount of vehicle to be charged based on the vehicle charging request;

[0110] Obtain energy storage information of charging piles, and extract charging capacity data of charging piles from the energy storage information of charging piles;

[0111] Based on the charging capacity data of charging piles and the amount of vehicles waiting to be charged, obtain charging pile recommendation data, and obtain charging recommendation routes based on the charging pile recommendations and vehicle charging requests.

[0112] Based on the vehicle's charging request, a recommended charging route is sent to the corresponding customer terminal.

[0113] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0114] Get the vehicle charging request triggered by the user, and get the amount of vehicle to be charged based on the vehicle charging request;

[0115] Obtain energy storage information of charging piles, and extract charging capacity data of charging piles from the energy storage information of charging piles;

[0116] Based on the charging capacity data of charging piles and the amount of vehicles waiting to be charged, obtain charging pile recommendation data, and obtain charging recommendation routes based on the charging pile recommendations and vehicle charging requests.

[0117] Based on the vehicle's charging request, a recommended charging route is sent to the corresponding customer terminal.

[0118] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0119] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0120] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for optical storage of energy for microgrids, characterized in that, The method for micro-grid light storage and charging comprises the following steps: Obtain a user-triggered vehicle charging request, and obtain a vehicle charging amount to be charged according to the vehicle charging request; Obtain charging pile energy storage information, and obtain charging pile charging capacity data from the charging pile energy storage information; According to the charging pile charging capacity data and the vehicle charging amount to be charged, obtain charging pile recommendation data, and obtain a charging recommendation route according to the charging pile recommendation and the vehicle charging request; According to the vehicle charging request, the charging recommendation route is sent to the corresponding customer terminal.

2. The optical storage method for microgrid according to claim 1, wherein, The charging pile energy storage information is obtained, and the charging pile charging capacity data is obtained from the charging pile energy storage information, which specifically comprises: According to the charging pile energy storage information, obtain the charging pile identification, and obtain the corresponding charging pile historical charging information according to the charging pile identification; According to the charging pile historical charging information, the charging pile charging capacity data corresponding to each charging pile identification is calculated.

3. The optical storage method for microgrid according to claim 2, wherein, According to the charging pile historical charging information, the charging pile charging capacity data corresponding to each charging pile identification is calculated. According to the charging pile historical charging information, the charging pile charging capacity data corresponding to each charging pile identification is calculated. According to each charging pile historical charging information, the corresponding vehicle type information is obtained, and the corresponding average charging time is obtained according to the vehicle type information; 4. The optical storage method for microgrid according to claim 3, wherein, From each charging pile historical charging information, the historical charging time of each vehicle type information is obtained, and the charging pile charging capacity data is calculated according to the historical charging time and the average charging time. From each charging pile historical charging information, the historical charging time of each vehicle type information is obtained, and the charging pile charging capacity data is calculated according to the historical charging time and the average charging time. According to each charging pile historical charging information, the charging pile identification corresponding to each historical charging vehicle and the battery use time are obtained; wherein S refers to the charging pile charging capability data, n refers to the number of vehicles that each charging pile identification corresponds to historical charging of the charging pile, h refers to the historical charging time efficiency, p refers to the average charging time efficiency, t refers to the battery use time length, x refers to a correction variable, and 0 < x < 1.

5. The optical storage method for microgrid according to claim 1, wherein, The battery use time corresponding to each charging pile identification and the corresponding historical charging time and the average charging time are input into the following formula, and the charging pile charging capacity data is calculated: According to the charging pile charging capacity data and the vehicle charging amount to be charged, obtain charging pile recommendation data, and obtain a charging recommendation route according to the charging pile recommendation and the vehicle charging request, which specifically comprises: According to the vehicle charging amount to be charged, the vehicle driving distance is obtained, and the charging pile acquisition radius is obtained according to the vehicle driving distance; 6. An optical storage and charging device for a microgrid, characterized by According to the charging pile energy storage information and the charging pile acquisition radius, obtain the candidate charging pile identification, and according to the charging pile charging capacity data of the candidate charging pile identification, the charging pile recommendation data is obtained. The device for micro-grid light storage and charging comprises: An electric quantity acquisition module for obtaining a user-triggered vehicle charging request, and obtaining a vehicle charging amount to be charged according to the vehicle charging request; A charging capacity acquisition module for obtaining charging pile energy storage information, and obtaining charging pile charging capacity data from the charging pile energy storage information; A route recommendation module for obtaining charging pile recommendation data according to the charging pile charging capacity data and the vehicle charging amount to be charged, and obtaining a charging recommendation route according to the charging pile recommendation and the vehicle charging request; A result sending module is configured to send the charging recommendation route to a corresponding client terminal according to the vehicle charging request.

7. The optical storage and charging device for microgrids of claim 6, wherein, The charging capacity obtaining module comprises: A historical data obtaining submodule is configured to obtain charging pile identifiers according to the charging pile energy storage information, and obtain corresponding charging pile historical charging information according to the charging pile identifiers; A capacity calculation submodule is configured to calculate the charging pile charging capacity data corresponding to each charging pile identifier according to the charging pile historical charging information.

8. The optical storage and charging device for microgrids of claim 7, wherein, The capacity calculation submodule comprises: An aging obtaining unit is configured to obtain corresponding vehicle type information from each piece of the charging pile historical charging information, and obtain corresponding average charging aging according to the vehicle type information; 9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, A capacity calculation unit is configured to obtain historical charging aging of each vehicle type information from each piece of the charging pile historical charging information, and calculate the charging pile charging capacity data according to the historical charging aging and the average charging aging.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The processor executes the computer program to implement the steps of the method for micro-grid light storage and charging according to any one of claims 1 to 5. The computer program is executed by the processor to implement the steps of the method for micro-grid light storage and charging according to any one of claims 1 to 5.

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