Charging pile regulation method and system based on low-carbon mode, terminal and medium

Abstract

The application provides a charging pile regulation method and system based on a low-carbon mode, a terminal and a medium. The method comprises the following steps: acquiring power grid data in real time and constructing a carbon ratio model; acquiring charging information and charging pile information of a to-be-charged vehicle; and calculating a charging plan of the to-be-charged vehicle based on the carbon ratio model, the charging information and the charging pile information. Through an intelligent scheduling algorithm, the application realizes dynamic scheduling of charging piles according to the condition of renewable energy of a power grid, maximally utilizes low-carbon energy, improves the satisfaction of users for charging services with the help of an advanced user participation mechanism, improves the scheduling accuracy of charging piles and ensures the stability of the power grid by combining the real-time operation condition of the power system and adopting prediction and optimization technologies. The charging pile regulation method based on the low-carbon mode can improve the energy utilization efficiency of charging piles, reduce carbon emissions, and improve the user experience and the overall stability of the power system.

Description

Technical Field

[0001] This application relates to the field of charging technology, and in particular to charging pile control methods, systems, terminals and media based on low-carbon modes. Background Technology

[0002] With the development of new energy technologies, the global energy supply structure has undergone significant changes, with the proportion of low-carbon energy continuously increasing. Therefore, fully utilizing low-carbon energy is a crucial issue. As a vital infrastructure for electric vehicles, the construction and regulation of charging stations are themselves important energy management topics. Considering the unique volatility of low-carbon energy supply compared to traditional energy sources, the trend towards energy decarbonization, and the integration of renewable energy into the power grid, it is necessary to further optimize charging station regulation strategies to promote more efficient utilization of low-carbon energy.

[0003] The current regulation of charging piles mainly focuses on the following aspects: (1) Power grid load balancing: Charging piles alleviate the peak-valley load difference of the power system and reduce the risk of power grid impact by charging in different time periods, and by realizing orderly charging, interconnection and interoperability protocols, and random delayed start-up; (2) User demand response: Provide intelligent charging services according to user needs, such as on-demand charging and remote scheduling, to meet the personalized needs of users; (3) Charging pile operation monitoring: Use a monitoring system to monitor the operation status of charging piles in real time, perform fault diagnosis and maintenance, and ensure the stability of charging services.

[0004] Although the current control methods have achieved certain results, they still face the following challenges: (1) Carbon emission problem: Traditional peak-valley differential control methods are difficult to effectively cope with the fluctuations of renewable energy in the power system, which can easily lead to the waste of low-carbon energy; (2) User experience: Some users' satisfaction with charging services still needs to be improved, and more intelligent and personalized control strategies are needed; (3) Power system stability: With the popularization of electric vehicles, the large-scale application of charging piles may pose challenges to the stability of the power system, requiring more refined scheduling and management. Summary of the Invention

[0005] In view of the shortcomings of the prior art, the present invention provides a charging pile control method, system, terminal and medium based on low-carbon mode, which is used to solve the problem that the existing electric vehicle charging pile control methods do not give much consideration to the use of low-carbon energy and cannot carry out low-carbon priority charging on the basis of fully balancing user experience and grid impact.

[0006] To achieve the above and other related objectives, the first aspect of this application provides a charging pile control method based on a low-carbon model, comprising: acquiring grid data in real time and constructing a carbon ratio model; acquiring charging information of the vehicle to be charged and charging pile information; and calculating a charging plan for the vehicle to be charged based on the carbon ratio model, the charging information and the charging pile information.

[0007] In some embodiments of the first aspect of this application, the charging information of the vehicle to be charged includes: charging amount and preset charging time period.

[0008] In some embodiments of the first aspect of this application, before calculating the charging plan of the vehicle to be charged, the method further includes: calculating the actual charging time T of the vehicle to be charged based on the charging amount W in the charging information and the real-time power information P in the charging pile information, wherein the specific calculation formula is as follows:

[0009] In some embodiments of the first aspect of this application, the process of calculating the charging plan of the vehicle to be charged based on the carbon ratio model, charging information and charging pile information includes: calculating carbon emission data of energy generation in each time period of the preset charging time period based on the carbon ratio model, charging information and charging pile information; sorting and judging the carbon emission data of energy generation in each time period to obtain the charging plan of the vehicle to be charged.

[0010] In some embodiments of the first aspect of this application, the formulas for calculating the carbon emission data of energy generation during each period of the preset charging time period are as follows: Where i represents the energy type, n represents the number of energy types, j represents the time period, and E ij R represents the carbon emissions of generating one kilowatt-hour of electricity from energy type i during time period j. ij C represents the proportion of energy type i in one kilowatt-hour of electricity during time period j. j Let be the total carbon emissions of one kilowatt-hour of electricity generated by n types of energy during time period j.

[0011] In some embodiments of the first aspect of this application, the results of sorting the carbon emission data of energy generation for each time period include: Wherein, T1 is the time when the vehicle to be charged is inserted into the charging pile, and T2 is the preset charging completion time of the vehicle to be charged.

[0012] In some embodiments of the first aspect of this application, the specific process of sorting and selecting carbon emission data of energy generation in each time period to obtain a charging plan for the vehicle to be charged includes: if the actual charging time of the vehicle to be charged is greater than or equal to the preset charging time period, then the vehicle to be charged is charged within the preset charging time period; if the actual charging time of the vehicle to be charged is less than the preset charging time period, then the optimal charging time period is selected from the carbon emission data of energy generation in each time period for charging the vehicle to be charged.

[0013] To achieve the above and other related objectives, a second aspect of this application provides a charging pile control system based on a low-carbon model, comprising: a carbon ratio model construction module for acquiring grid data in real time and constructing a carbon ratio model; a charging information acquisition module for acquiring charging information of the vehicle to be charged and charging pile information; and a charging plan generation module for calculating a charging plan for the vehicle to be charged based on the carbon ratio model, the charging information, and the charging pile information.

[0014] To achieve the above and other related objectives, a third aspect of this application provides an electronic terminal, comprising: a processor and a memory; the memory for storing a computer program; and the processor for executing the computer program stored in the memory to enable the electronic terminal to execute the charging pile control method based on a low-carbon mode.

[0015] To achieve the above and other related objectives, a fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the charging pile control method based on a low-carbon mode.

[0016] As described above, the charging pile control method, system, terminal, and medium based on the low-carbon mode of this application have the following beneficial effects:

[0017] (1) Low carbon emissions: The charging pile regulation method of the present invention is low carbon oriented. Through intelligent scheduling algorithm, the charging period is matched with the peak period of renewable energy in the power grid, so as to maximize the use of clean energy, reduce carbon emissions during the charging process, and contribute to environmental protection and sustainable development.

[0018] (2) Intelligent user experience: Introduce a user participation mechanism, and allow users to participate in the formulation of charging plans through means such as APP, provide personalized charging services, and allow users to choose charging time periods more flexibly to meet personalized needs and improve user satisfaction with charging services.

[0019] (3) Power system stability: This invention combines the real-time operation of the power system with prediction and optimization technology to improve the scheduling accuracy of charging piles, effectively alleviate the load fluctuation of the power system, enhance the stability of the power system, and help prevent power grid problems caused by the large-scale use of charging piles.

[0020] (4) Energy saving: Through intelligent scheduling algorithms, this invention can optimize the operating hours of charging piles, avoid peak periods, and reduce energy waste. This helps to improve the overall efficiency of the power system and reduce its operating costs. Attached Figure Description

[0021] Figure 1 The diagram shown is a flowchart illustrating a charging pile control method based on a low-carbon mode in one embodiment of this application.

[0022] Figure 2 The diagram shown is a swimlane diagram of a charging pile control method based on a low-carbon mode according to an embodiment of this application.

[0023] Figure 3 The figure shown is a specific embodiment of a charging pile control method based on a low-carbon mode, as described in one embodiment of this application.

[0024] Figure 4 The diagram shown is a structural schematic of a charging pile control system based on a low-carbon mode, according to one embodiment of this application.

[0025] Figure 5 The diagram shown is a structural schematic of an electronic terminal according to an embodiment of this application. Detailed Implementation

[0026] The following specific examples illustrate the implementation of this application. Those skilled in the art can easily understand other advantages and effects of this application from the content disclosed in this specification. This application can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of this application. It should be noted that, unless otherwise specified, the following embodiments and features in the embodiments can be combined with each other.

[0027] It should be noted that in the following description, reference is made to the accompanying drawings, which illustrate several embodiments of this application. It should be understood that other embodiments may also be used, and changes in mechanical composition, structure, electrical system, and operation may be made without departing from the spirit and scope of this application. The following detailed description should not be considered limiting, and the scope of the embodiments of this application is defined only by the claims of the published patent. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application. Spatially related terms, such as “upper,” “lower,” “left,” “right,” “below,” “below,” “lower part,” “above,” “upper part,” etc., may be used herein to illustrate the relationship between one element or feature shown in the figures and another element or feature.

[0028] In this application, unless otherwise expressly specified and limited, the terms "installation," "connection," "linking," "fixing," and "holding" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application according to the specific circumstances.

[0029] Furthermore, as used herein, the singular forms “a,” “an,” and “the” are intended to include the plural forms as well, unless the context indicates otherwise. It should be further understood that the terms “comprising,” “including,” indicate the presence of the stated feature, operation, element, component, item, kind, and / or group, but do not preclude the presence, occurrence, or addition of one or more other features, operations, elements, components, items, kinds, and / or groups. The terms “or” and “and / or” as used herein are interpreted as inclusive, or mean any one or any combination thereof. Thus, “A, B, or C” or “A, B, and / or C” means “any one of: A; B; C; A and B; A and C; B and C; A, B, and C.” Exceptions to this definition arise only when combinations of elements, functions, or operations are inherently mutually exclusive in some manner.

[0030] This application utilizes an intelligent scheduling algorithm to dynamically schedule charging piles based on the renewable energy availability of the power grid, maximizing the use of low-carbon energy. It also employs advanced user participation mechanisms to improve user satisfaction with charging services, such as allowing users to customize their charging plans via an app. Furthermore, by combining real-time power system operation data with predictive and optimization techniques, the application enhances the scheduling accuracy of charging piles and ensures power system stability. This low-carbon-mode-based charging pile control method improves the energy efficiency of charging piles, reduces carbon emissions, and simultaneously enhances user experience and the overall stability of the power system.

[0031] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the invention.

[0032] like Figure 1 The diagram shown illustrates a flowchart of a charging pile control method based on a low-carbon mode, according to an embodiment of this application. It mainly includes the following steps:

[0033] Step S11: Acquire grid data in real time and construct a carbon ratio model.

[0034] It should be noted that energy is the foundation for achieving sustainable development, and electricity is a type of energy that is easy to concentrate, transmit, distribute, control, and convert into other forms. Its use has spread to all aspects of the national economy and people's lives, becoming a necessity in modern society. Common power generation energy sources include coal, oil, natural gas, hydropower, wind power, ocean energy, geothermal energy, solar energy, nuclear energy, and biomass energy.

[0035] Different types of energy generation have different carbon emissions. In this embodiment, in order to achieve low-carbon mode of new energy vehicle charging scheduling, the method adopted is low-carbon oriented. Therefore, the grid data is first obtained, which includes the power generation data of each region, such as the energy type of power generation and the carbon emission data of each energy type. Then, a carbon ratio model is constructed. Through the carbon ratio model, the real-time power generation status, carbon emission status and real-time operation status of the power system of various energy types can be obtained.

[0036] Step S12: Obtain the charging information of the vehicle to be charged and the charging station information. The charging information of the vehicle to be charged includes: charging amount and preset charging time period. The charging amount is the energy to be replenished data of the vehicle to be charged, and the preset charging time period is the time from when the vehicle to be charged is inserted into the charging station to the preset charging completion time.

[0037] It should be noted that the amount of charge required by the vehicles to be charged varies, and the charging time period also varies. The preset charging time period can be from the time the charging gun of the vehicle to be charged is inserted into the charging station to the preset charging completion time. Alternatively, it can be a preset charging time period set by the user according to their actual needs. For example, if the user inserts the car into the charging station between 10 pm and 8 am the next day, but wants the charging to be completed between midnight and 5 am the next day, and not to charge during other time periods.

[0038] When a vehicle is being charged, the charging power of each charging pile in each parking lot is different. Therefore, the actual charging time varies depending on the vehicle being charged into each pile. The actual charging time T of the vehicle is calculated based on the charging amount W in the charging information and the real-time power information P in the charging pile information. The specific calculation formula is as follows:

[0039]

[0040] It should be noted that when obtaining charging information for vehicles and charging stations, a user participation mechanism can be introduced. Users can input preset charging time periods through apps, third-party cloud platforms, car displays, etc., and can also flexibly choose charging time periods. This allows users to participate in the formulation of charging plans, providing personalized charging services, meeting individual needs, and improving user satisfaction with charging services.

[0041] Step S13: Calculate the charging plan for the vehicle to be charged based on the carbon ratio model, charging information, and charging pile information. The specific process includes: calculating carbon emission data for energy generation in each time period within the preset charging time period based on the carbon ratio model, charging information, and charging pile information; sorting and selecting the carbon emission data for each time period to obtain the charging plan for the vehicle to be charged.

[0042] In some examples, the carbon emission data of energy generation during each period of the preset charging time period are calculated using the following formulas:

[0043]

[0044] Where i represents the energy type, n represents the number of energy types, j represents the time period, and E ij R represents the carbon emissions of generating one kilowatt-hour of electricity from energy type i during time period j. ij C represents the proportion of energy type i in one kilowatt-hour of electricity during time period j. j Let be the total carbon emissions of one kilowatt-hour of electricity generated by n types of energy during time period j.

[0045] In some examples, the results of sorting the carbon emission data of energy generation for each time period include:

[0046]

[0047] Where T1 is the time when the vehicle to be charged is inserted into the charging pile, and T2 is the preset charging completion time of the vehicle to be charged. First, the carbon emission data of energy generation for each time period are calculated, as follows: The system is sorted by carbon emission levels, with priority given to charging during periods with lower carbon emissions.

[0048] In some examples, the specific process of sorting, judging and selecting carbon emission data of energy power generation in each time period to obtain the charging plan for the vehicle to be charged comprises:

[0049] if the actual charging duration of the vehicle to be charged is greater than or equal to the preset charging time period, charging the vehicle to be charged within the preset charging time period;

[0050] if the actual charging duration of the vehicle to be charged is less than the preset charging time period, selecting an optimal charging time period from the carbon emission data of energy power generation in each time period to charge the vehicle to be charged.

[0051] It should be explained that if T≥T2-T1, it indicates that it is difficult to complete the charging of the full charging capacity of the vehicle to be charged within the user's preset charging time period, and only energy supplement for part of the charging capacity can be performed, so charging for part of the charging capacity can only be completed based on the preset charging time period; if T<T2-T1, it indicates that the preset charging time period is sufficient to complete the charging of the full charging capacity, and selection can be made in the preset charging time period. According to the carbon emission data of energy power generation in each time period within the preset charging time period, a low-carbon time period meeting the charging capacity requirement can be selected for charging, that is, matching the peak period of renewable energy, which can reduce carbon emission in the charging process, realize environmental protection and avoid resource waste.

[0052] It should be noted that, due to factors such as uneven geographical distribution of natural resources, incomplete overlap between peak power generation periods and peak power consumption periods, as well as intraday fluctuation and unpredictability, challenges are posed to the supply and demand matching of the power grid. Through an intelligent scheduling algorithm, the present application matches the charging period with the peak period of renewable energy of the power grid, maximizes the utilization of clean energy, reduces carbon emission in the charging process, and contributes to environmental protection and sustainable development.

[0053] Further, in combination with the real-time operation condition of the power system, prediction and optimization technologies are used to improve the scheduling accuracy of charging piles, effectively alleviate the load fluctuation of the power system, enhance the stability of the power system, help prevent power grid problems caused by the use of large-scale charging piles, optimize the operation period of charging piles, avoid peak load periods, and reduce energy waste. This helps improve the overall efficiency of the power system and reduce the operation cost of the power system. Through an innovative scheduling method and an intelligent user participation mechanism, multiple beneficial effects such as low-carbon regulation of charging piles, user-friendliness and power system stability are achieved, which promotes the further optimization and sustainable development of electric vehicle charging infrastructure.

[0054] As Figure 2 shows, it is a swim lane diagram of the charging pile regulation method based on low-carbon mode of the present application, and the specific explanation is as follows:

[0055] Users set up low-carbon mode through the APP and transmit the information to the charging pile via Bluetooth to activate low-carbon mode. The charging pile control system saves the charging mode information from the user and sends it to the charging pile. At this time, charging is prioritized according to the local preset mode based on local operations, such as APP control, card control, setting energy safety thresholds, etc.

[0056] When a new energy vehicle is plugged into a charging pile and connected to the charging connector, a short-term trial charge is initiated. The charging pile obtains the actual charging power of the vehicle and reports it to the charging control system. The charging control system calculates and generates the current charging plan based on the expected departure time, actual charging power, planned energy replenishment, and carbon emission data, and sends it to the charging pile. The charging pile then officially charges the vehicle according to the charging plan.

[0057] If no low-carbon information is found after obtaining the actual charging power, the system will charge according to the local preset mode. If the charging connector is disconnected, the system will also charge according to the local preset mode.

[0058] To facilitate the demonstration of the charging pile control method based on the low-carbon mode of this application, the following specific embodiments are provided for illustration:

[0059] Example 1: A charging pile control method based on a low-carbon mode; such as Figure 3 This is a specific embodiment of the charging pile control method based on the low-carbon mode in this example. The specific process is as follows:

[0060] The vehicle waiting to be charged is plugged into the charging station and reports its power output.

[0061] Confirm whether low-carbon mode is enabled. If not, stop charging. If not enabled, obtain the carbon ratio model.

[0062] The system uses a carbon ratio model to determine whether there is low-carbon information at the location of the charging station. If not, charging is stopped. If it is, the system determines whether the low-carbon information has been active for 24 hours.

[0063] If the low-carbon information is valid for 24 hours, a charging plan will be calculated based on the insertion time of the charging gun of the vehicle to be charged, the energy to be charged, and the low-carbon model, and then sent to the charging station to charge the vehicle to be charged.

[0064] If the low-carbon information is less than 24 hours old, a carbon fitting model with at least 24 hours of data from yesterday or the most recent date will be used to generate a charging plan, and the plan will be marked as a plan to be corrected.

[0065] The system checks the plan to be corrected in real time to determine if the low-carbon information has been updated for 24 hours. If it has not been updated for 24 hours, the system continues to check. If it has been updated for 24 hours, the system corrects the charging plan based on the latest carbon fitting model for 24 hours and the real-time amount of electricity to be replenished, and clears the correction plan flag.

[0066] It should be noted that when reviewing the plan to be corrected, if charging has been completed within the 24-hour carbon fitting model of yesterday or the most recent date, the plan will not be corrected even if a new 24-hour carbon fitting model is subsequently updated. If charging has not been completed after the low-carbon information is updated, a new charging plan will be generated based on the remaining amount of electricity to be replenished. If charging has not yet started at this time, a new charging plan will be generated by replenishing the electricity according to the plan.

[0067] like Figure 4 The diagram shows a schematic representation of a charging pile control system 400 based on a low-carbon mode, according to an embodiment of the present invention. The system 400 includes:

[0068] Carbon ratio model building module 401 is used to acquire power grid data in real time and build a carbon ratio model.

[0069] The charging information acquisition module 402 is used to acquire the charging information of the vehicle to be charged;

[0070] The charging plan generation module 403 is used to calculate and obtain the charging plan of the vehicle to be charged based on the carbon ratio model and charging information.

[0071] It should be understood that the division of the various modules or units in the above system is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules or units can be implemented entirely in software through processing element calls; they can be implemented entirely in hardware; or some modules or units can be implemented by processing element calls to software, while others are implemented in hardware.

[0072] For example, these modules or units can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more digital signal processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs). As another example, when a module is implemented using processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. Furthermore, these modules can be integrated together to form a system-on-a-chip (SOC).

[0073] Since the implementation method of the charging pile control system based on the low-carbon mode in this embodiment is similar to the implementation method of the charging pile control method based on the low-carbon mode provided above, it will not be described again.

[0074] like Figure 5 The diagram shows a schematic representation of the structure of an electronic terminal in one embodiment of this application. The electronic terminal 50 provided in this example includes a memory 51 and a processor 52. The memory 51 stores a computer program; the processor 52 runs the computer program to implement the charging pile control method based on a low-carbon mode.

[0075] Optionally, the number of the memory 51 can be one or more, and the number of the processor 52 can be one or more.

[0076] Optionally, the processor 52 in the electronic terminal 50 will perform the following... Figure 1 The steps described involve loading one or more instructions corresponding to the process of an application into memory 51, and having the processor 52 run the application stored in the first memory 51, thereby realizing various functions in the charging pile control method based on the low-carbon mode.

[0077] Optionally, the memory 51 may include, but is not limited to, high-speed random access memory and non-volatile memory. For example, one or more disk storage devices, flash memory devices, or other non-volatile solid-state storage devices; the processor 52 may include, but is not limited to, a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0078] Optionally, the processor 52 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0079] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the charging pile control method based on the low-carbon mode.

[0080] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented using computer program-related hardware. The aforementioned computer program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0081] In the embodiments provided in this application, the computer-readable and writable storage medium may include read-only memory, random access memory, EEPROM, CD-ROM or other optical disc storage devices, disk storage devices or other magnetic storage devices, flash memory, USB flash drive, portable hard drive, or any other medium capable of storing desired program code in the form of instructions or data structures and accessible by a computer. Additionally, any connection may be appropriately referred to as a computer-readable medium. For example, if instructions are transmitted from a website, server, or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of the medium. However, it should be understood that computer-readable and writable storage media and data storage media do not include connections, carrier waves, signals, or other transient media, but are intended for non-transient, tangible storage media. The disks and optical discs used in the application include compact discs (CDs), laser discs, optical discs, digital multifunction discs (DVDs), floppy disks, and Blu-ray discs, where disks typically copy data magnetically, while optical discs use lasers to copy data optically.

[0082] In summary, this application provides a charging pile control method, system, terminal, and medium based on a low-carbon model. The method includes: acquiring grid data in real time and constructing a carbon ratio model; acquiring charging information of the vehicle to be charged and charging pile information; and calculating a charging plan for the vehicle to be charged based on the carbon ratio model, charging information, and charging pile information. This application achieves dynamic scheduling of charging piles through intelligent scheduling algorithms, based on the renewable energy situation of the grid, maximizing the utilization of low-carbon energy; improves user satisfaction with charging services through advanced user participation mechanisms; and improves the scheduling accuracy of charging piles by combining real-time power system operation data with prediction and optimization techniques, ensuring the stability of the power system. The charging pile control method based on a low-carbon model of this application can improve the energy utilization efficiency of charging piles, reduce carbon emissions, and simultaneously enhance user experience and the overall stability of the power system. Therefore, this application effectively overcomes the various shortcomings of existing technologies and has high industrial application value.

[0083] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in this application should still be covered by the claims of this application.

Claims

1. A charging pile control method based on a low-carbon model, characterized in that, include: Real-time acquisition of power grid data and construction of carbon ratio models; Obtain charging information for the vehicle to be charged and information about the charging station; The charging plan for the vehicle to be charged is calculated based on the carbon ratio model, charging information, and charging pile information. The process includes: calculating carbon emission data of energy generation for each period in the preset charging time period based on the carbon ratio model, charging information and charging pile information; sorting and judging the carbon emission data of energy generation for each period to obtain the charging plan for the vehicle to be charged; The formulas for calculating the carbon emission data of energy generation in each time period of the preset charging time period are as follows: ； Where i represents the energy type, n represents the number of energy types, and j represents the time period. Let i be the carbon emissions of generating one kilowatt-hour of electricity from energy type i during time period j. This represents the proportion of energy type i in one kilowatt-hour of electricity during time period j. Let be the total carbon emissions of one kilowatt-hour of electricity generated by n types of energy during time period j.

2. The charging pile control method based on a low-carbon mode according to claim 1, characterized in that, The charging information of the vehicle to be charged includes: the amount of charge and the preset charging time period.

3. The charging pile control method based on a low-carbon mode according to claim 1, characterized in that, The process includes, before calculating and obtaining the charging plan for the vehicle to be charged: The actual charging time T of the vehicle to be charged is calculated based on the charging amount W in the charging information and the real-time power information P in the charging pile information. The specific calculation formula is as follows: 。 4. The charging pile control method based on low-carbon mode according to claim 1, characterized in that, The results of sorting the carbon emission data of energy generation for each time period include: ； in, The time it takes for the vehicle to be charged to be inserted into the charging station. The preset charging completion time for the vehicle to be charged.

5. The charging pile control method based on a low-carbon mode according to claim 1, characterized in that, The specific process of sorting and selecting carbon emission data from energy generation in each time period to obtain a charging plan for the vehicle to be charged includes: If the actual charging time of the vehicle to be charged is greater than or equal to the preset charging time period, then the vehicle to be charged will be charged within the preset charging time period. If the actual charging time of the vehicle to be charged is less than the preset charging time period, the optimal charging time period is selected from the carbon emission data of energy generation in each time period for charging the vehicle to be charged.

6. A charging pile control system based on a low-carbon model, characterized in that, include: The carbon ratio model building module is used to acquire power grid data in real time and build a carbon ratio model. The charging information acquisition module is used to acquire the charging information of the vehicle to be charged and the charging station information; The charging plan generation module is used to calculate the charging plan of the vehicle to be charged based on the carbon ratio model, charging information and charging pile information. The process includes: calculating the carbon emission data of energy generation in each period of the preset charging time period based on the carbon ratio model, charging information and charging pile information; sorting and judging the carbon emission data of energy generation in each period to obtain the charging plan of the vehicle to be charged. The formulas for calculating the carbon emission data of energy generation in each time period of the preset charging time period are as follows: ； Where i represents the energy type, n represents the number of energy types, and j represents the time period. Let i be the carbon emissions of generating one kilowatt-hour of electricity from energy type i during time period j. This represents the proportion of energy type i in one kilowatt-hour of electricity during time period j. Let be the total carbon emissions of one kilowatt-hour of electricity generated by n types of energy during time period j.

7. An electronic terminal, characterized in that, include: Processor and memory; The memory is used to store computer programs; The processor is configured to execute the computer program stored in the memory, so that the electronic terminal performs the charging pile control method based on the low-carbon mode as described in any one of claims 1 to 5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the charging pile control method based on the low-carbon mode as described in any one of claims 1 to 5.

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