Energy control method, device and equipment of energy storage charging station and medium

Abstract

The invention discloses an energy control method, device and equipment of an energy storage charging station and a medium. The method comprises the following steps: acquiring preset peak-valley time period information, and judging whether the current time is in a peak-valley time period or not according to the peak-valley time period information; after it is judged that the current time is in the peak-valley period, real-time charging data of a target charging station and the electric quantity of an energy storage battery are obtained, and an energy judgment result is obtained through calculation based on the real-time charging data and the electric quantity of the energy storage battery; and obtaining a target stage strategy according to the energy judgment result, and executing energy control operation on the energy storage charging station according to the target stage strategy. Through the technical scheme of the invention, energy control of the energy storage charging station at different time periods can be realized, the energy utilization rate of the energy storage charging station is improved, and the comprehensive benefit of the energy storage charging station is further improved.

Description

Technical Field

[0001] The present invention relates to the field of electric energy control, and in particular to an energy control method, device, equipment and medium for an energy storage charging station. Background Art

[0002] In today's booming electric vehicle industry, charging station operations are driven by the pursuit of economic benefits. Consequently, many charging stations are deploying energy storage equipment, aiming to capitalize on the price differential between peak and off-peak electricity prices. The hope is that the organic collaboration between energy storage systems and power stations will yield returns far exceeding the sum of their individual operating costs, maximizing the value of the synergistic operation of energy storage and power stations. In actual operations, station owners must simultaneously consider the real-time operating status of energy storage equipment and the overall operational status of the power station, ensuring close coordination between the two.

[0003] The current operating model of energy storage charging stations suffers from significant flaws. Owners typically pre-set fixed charging and discharging times for energy storage equipment, while the station's daily operations are relatively limited, often confined to routine marketing activities. This rigid operating model hinders the full discharge of energy storage batteries during peak hours, significantly limiting the potential for peak-valley arbitrage profits. To maximize the returns of energy storage batteries, the ideal scenario is to fully charge the batteries during low electricity prices and fully discharge them during peak electricity prices. However, in reality, the discharge of energy storage batteries depends entirely on the charging demand of electric vehicles within the station. If the number of vehicles charging during off-peak hours is insufficient, the energy storage batteries will not be fully discharged during peak hours. This not only directly reduces the revenue of energy storage charging stations but also severely undermines the synergistic effect of energy storage and power station operations, resulting in underutilization of stored energy.

[0004] In summary, the existing energy control method for energy storage charging stations has the problem of low energy utilization rate of energy storage charging stations, thereby reducing the comprehensive benefits of energy storage charging stations. Summary of the Invention

[0005] The present invention provides an energy control method, device, equipment and medium for an energy storage charging station, which can solve the problem of low energy utilization rate of the energy storage charging station and thus reduce the comprehensive benefits of the energy storage charging station in the existing energy control method of the energy storage charging station.

[0006] In a first aspect, an embodiment of the present invention provides an energy control method for an energy storage charging station, the method comprising:

[0007] Obtaining preset peak and valley time period information, and determining whether the current time is within the peak and valley time period based on the peak and valley time period information;

[0008] After determining that the current time is within the peak and valley period, obtaining real-time charging data and the energy storage battery power of the target charging station, and calculating an energy determination result based on the real-time charging data and the energy storage battery power;

[0009] A target phase strategy is obtained according to the energy judgment result, and energy control operations are performed on the energy storage charging station according to the target phase strategy.

[0010] In a second aspect, an embodiment of the present invention provides an energy control device for an energy storage charging station, the device comprising:

[0011] A time period determination module is used to obtain preset peak and valley time period information and determine whether the current time is within the peak and valley time period according to the peak and valley time period information;

[0012] A judgment result generation module is used to obtain real-time charging data and energy storage battery power of the target charging station after determining that the current time is within the peak and valley period, and calculate the energy judgment result based on the real-time charging data and energy storage battery power;

[0013] An energy control module is used to obtain a target phase strategy according to the energy judgment result, and perform energy control operations on the energy storage charging station according to the target phase strategy.

[0014] In a third aspect, an embodiment of the present invention provides an electronic device, comprising:

[0015] at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the energy control method of an energy storage charging station described in any embodiment of the present invention.

[0018] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement an energy control method for an energy storage charging station described in any embodiment of the present invention when executed.

[0019] The technical solution of the embodiment of the present invention obtains preset peak and valley time period information, and determines whether the current time is in the peak and valley time period based on the peak and valley time period information. After determining that the current time is in the peak and valley time period, the real-time charging data and the energy storage battery power of the target charging station are obtained, and an energy judgment result is calculated based on the real-time charging data and the energy storage battery power. Finally, a target stage strategy is obtained according to the energy judgment result, and energy control operations are performed on the energy storage charging station according to the target stage strategy. This solves the problem of low energy utilization rate of the energy storage charging station and thus reduced comprehensive benefits of the energy storage charging station in the existing energy control method of the energy storage charging station, realizes energy control for different time periods of the energy storage charging station, improves the energy utilization rate of the energy storage charging station, and thus improves the comprehensive benefits of the energy storage charging station.

[0020] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present invention, nor is it intended to limit the scope of the present invention. Other features of the present invention will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 This is a flow chart of an energy control method for an energy storage charging station provided according to the first embodiment of the present invention;

[0023] Figure 2 This is a flow chart of an energy control method for an energy storage charging station provided according to the second embodiment of the present invention;

[0024] Figure 3 This is a structural diagram of an energy control device for an energy storage charging station provided according to a third embodiment of the present invention;

[0025] Figure 4 It is a structural diagram of an electronic device for implementing an energy control method for an energy storage charging station according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first," "second," and the like in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the numbers used in this manner are interchangeable where appropriate so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, any variations of the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to these processes, methods, products, or apparatus.

[0028] Example 1

[0029] Figure 1 This is a flowchart of an energy control method for an energy storage charging station provided in Example 1 of the present invention. This embodiment can be applied to energy control of an energy storage charging station. The method can be executed by an energy control device of the energy storage charging station. The energy control device of the energy storage charging station can be implemented in the form of hardware and / or software. The energy control device of the energy storage charging station can be configured in a terminal or server with the energy control function of the energy storage charging station.

[0030] like Figure 1 As shown, the method includes:

[0031] S110: Obtain preset peak and valley time period information, and determine whether the current time is within the peak and valley time period according to the peak and valley time period information.

[0032] The peak and valley period information refers to the different periods of electricity consumption that the power system divides based on the load characteristics of the power grid. Typically, periods of high electricity demand and high power supply costs are designated as peak and valley periods, with higher electricity prices; periods of low electricity demand and low power supply costs are designated as valley periods, with lower electricity prices. In this embodiment, by obtaining the preset peak and valley period information and comparing it with the current timestamp in real time, it is possible to determine whether the user is in the valley period.

[0033] For example, if the peak and valley period information is 10:00-12:00, and the current timestamp obtained by satellite or a built-in clock is 10:30, it means that the current time is in the peak and valley period.

[0034] In one implementation scenario of this embodiment, the system can be manually triggered by the user to determine whether it is currently in the peak or valley period, or it can be triggered based on the trigger time point pre-set by the user to obtain the current time through the real-time clock and compare it with the preset peak or valley period. This embodiment does not limit its triggering method.

[0035] S120. After determining that the current time is in a peak or valley period, obtain real-time charging data and energy storage battery power of the target charging station, and calculate an energy determination result based on the real-time charging data and energy storage battery power.

[0036] The real-time charging data includes: the remaining charging time of each target vehicle in the target charging station and a charging potential energy diagram respectively matched with each target vehicle.

[0037] Specifically, the remaining charging time is the time required to charge the vehicle from its current power level to a full charge; further, the charging potential energy diagram is used to describe the changing trend of the charging power of the target vehicle over time. For example, when the target vehicle is charging, the charging power can reach 234kW when the power level is 15%, and then gradually decreases as the power level increases until it drops to 0kW when the power level is fully charged. Relevant personnel in this field should know that the remaining charging time and charging potential energy diagram of the target vehicle can be directly obtained based on the battery management system of the target vehicle and the real-time monitoring module of the charging pile. The specific acquisition steps and principles are not elaborated in this embodiment.

[0038] Furthermore, the energy judgment result includes a first judgment result and a second judgment result.

[0039] S130: Obtain a target phase strategy according to the energy judgment result, and perform energy control operations on the energy storage charging station according to the target phase strategy.

[0040] Among them, the target stage strategy is obtained according to the energy judgment result, including: if the energy judgment result is a first judgment result, generating a first price adjustment information and sending it to the user, so that the user adjusts the charging electricity price of the target charging station based on the first price adjustment information; generating a price adjustment broadcast in response to the user's price adjustment operation, and sending the price adjustment broadcast to the target customer through a preset broadcast method.

[0041] In a specific implementation scenario of this embodiment, the first judgment result may be: the energy storage battery is at risk of not being able to discharge all the remaining power during the current peak and valley periods, and it is necessary to reduce prices to attract more users to charge in order to reduce the remaining power. For example, during the peak period of 18:00-22:00 at a charging station, the energy storage battery has 150kWh remaining. Real-time data shows that existing vehicles can only consume 80kWh, and there are 2 hours left during the peak period. At this time, the first judgment result is "there is a significant risk of remaining power." The first price adjustment information is a specific price reduction plan formulated based on this risk, including the price adjustment range, implementation time, etc., such as "reducing from the current 1.9 yuan / kWh to 1.5 yuan / kWh, lasting until 22:00."

[0042] Optionally, the price adjustment broadcast is used to inform potential users of the electricity price adjustment, for example, "XX charging station has a limited time special offer, charging only 1.5 yuan / kWh, it is 3 kilometers away from you, click to navigate there". The preset broadcast methods include but are not limited to push by electric vehicle applications cooperating with the charging station, prompts of the in-vehicle navigation system, user community notifications, etc. Target customers refer to potential users who may go to the charging station to charge, usually determined by screening of geographic location (such as 3-5 kilometers around), historical charging records, vehicle model adaptability, etc. It is a mature existing technology, and this embodiment does not elaborate on the principles of information broadcasting technology.

[0043] Furthermore, obtaining the target stage strategy based on the energy judgment result also includes: if the energy judgment result is a second judgment result, generating second price adjustment information and sending it to the user, so that the user adjusts the charging electricity price of the target charging station based on the second price adjustment information.

[0044] Specifically, the second judgment result indicates that the discharge of the energy storage battery of the energy storage charging station is basically in line with expectations, with a small amount of remaining power or insufficient remaining power. For example, there is 1 hour left in the peak period, the energy storage battery has 30kWh remaining, and the existing user is expected to consume 35kWh. At this time, the second judgment result is "there is a risk of insufficient power." The second price adjustment information is usually a price increase adjustment plan, such as "increasing from a valley electricity price of 1.9 yuan / kWh to a peak electricity price of 2.0 yuan / kWh" or "maintaining the original price of 1.9 yuan / kWh". The specific price adjustment strategy can be formulated by relevant personnel and is not limited in this embodiment.

[0045] Optionally, in this embodiment, the method further includes: if it is determined that the current time is not in the peak or valley period, performing a charging operation on the energy storage battery of the target charging station.

[0046] The technical solution of the embodiment of the present invention obtains preset peak and valley period information, and determines whether the current time is in the peak and valley period based on the peak and valley period information. After determining that the current time is in the peak and valley period, the real-time charging data and the energy storage battery power of the target charging station are obtained, and an energy judgment result is calculated based on the real-time charging data and the energy storage battery power. Finally, a target stage strategy is obtained according to the energy judgment result, and energy control operations are performed on the energy storage charging station according to the target stage strategy, thereby realizing energy control for different time periods of the energy storage charging station, improving the energy utilization rate of the energy storage charging station, and thereby improving the comprehensive benefits of the energy storage charging station.

[0047] Example 2

[0048] Figure 2 This is a flow chart of an energy control method for an energy storage charging station provided in Example 2 of the present invention. This embodiment is refined based on the above embodiment. In this embodiment, the method for obtaining the energy judgment result based on the real-time charging data and the energy storage battery power calculation is specifically refined.

[0049] like Figure 2 As shown, the method includes:

[0050] S210: Obtain preset peak and valley time period information, and determine whether the current time is within the peak and valley time period according to the peak and valley time period information.

[0051] The real-time charging data includes: the remaining charging time of each target vehicle in the target charging station and a charging potential energy diagram respectively matched with each target vehicle.

[0052] S220. After determining that the current time is in the peak and valley period, obtain the real-time charging data and the energy storage battery power of the target charging station, and calculate the peak and valley power consumption of each target vehicle according to the remaining charging time of each target vehicle in the target charging station, the current time and the peak and valley period information.

[0053] Among them, the peak and valley power consumption of each target vehicle is calculated according to the remaining charging time of each target vehicle in the target charging station, the current time and the peak and valley time period information, including: obtaining the peak and valley charging time of each target vehicle according to the remaining charging time of each target vehicle in the target charging station, the current time and the peak and valley time period information; and calculating the peak and valley power consumption of each target vehicle according to the peak and valley charging time of each target vehicle and the charging potential energy diagram of each target vehicle.

[0054] On the basis of the above steps, specifically, the peak-valley power consumption of each target vehicle is calculated according to the remaining charging time of each target vehicle in the target charging station, the current time and the peak-valley period information, including: first calculating the peak-valley charging time of each target vehicle, the peak-valley charging time refers to the length of time the vehicle is in the peak-valley period during charging. For example, the current time is 17:30 (belonging to the flat valley period, 11:00-18:00), the remaining charging time of a vehicle is 2 hours (i.e., charging ends at 19:30), and the peak-valley period is 18:00-22:00, then the charging time of the vehicle in the flat valley period is 17:30-18:00, a total of 0.5 hours; the charging time in the peak-valley period is 18:00-19:30, a total of 1.5 hours, that is, the peak-valley charging time is 1.5 hours. Afterwards, the peak-valley energy consumption is calculated based on the peak-valley charging time and charging potential energy diagram of each target vehicle. The peak-valley energy consumption refers to the energy consumed by the vehicle during the peak-valley period. For example, if the charging potential energy diagram of the target vehicle shows that the power drops linearly from 120kW to 100kW (average power 110kW) within 1 hour of charging, and the power is maintained at 80kW for the subsequent 0.5 hours. If the peak-valley charging time of the vehicle is 1.5 hours, the peak-valley energy consumption is (120+100) / 2×1+80×0.5=110+40=150kWh.

[0055] S230 : Sum the peak and valley power consumption of each target vehicle to obtain a peak and valley total demand that matches the target charging station.

[0056] The total peak-valley demand refers to the total energy consumption expected during the current peak-valley period for all vehicles currently charging or waiting to charge at the target charging station. For example, if a charging station has three target vehicles: Vehicle A with a peak-valley consumption of 150kWh, Vehicle B with a peak-valley consumption of 100kWh, and Vehicle C with a peak-valley consumption of 80kWh, the total peak-valley demand is 150 + 100 + 80 = 330kWh.

[0057] S240, determining whether the total peak and valley demand is less than the power of the energy storage battery;

[0058] If it is less than, execute S250;

[0059] If not less than, execute S260.

[0060] S250: Determine that the energy determination result of the target charging station is the first determination result, and execute S270.

[0061] S260: Determine that the energy determination result of the target charging station is the second determination result, and execute S270.

[0062] S270: Obtain a target phase strategy according to the energy judgment result, and perform energy control operations on the energy storage charging station according to the target phase strategy.

[0063] The technical solution of the embodiment of the present invention obtains preset peak and valley time period information and determines whether the current time is in the peak and valley time period based on the peak and valley time period information. After determining that the current time is in the peak and valley time period, the real-time charging data and energy storage battery power of the target charging station are obtained, and the peak and valley power consumption of each target vehicle in the target charging station is respectively calculated based on the remaining charging time of each target vehicle in the target charging station, the current time and the peak and valley time period information. Then, the peak and valley power consumption of each target vehicle is summed to obtain the peak and valley total demand that matches the target charging station, and it is determined whether the peak and valley total demand is less than the energy storage battery power. If less than, the energy judgment result of the target charging station is determined to be the first judgment result; if not less than, the energy judgment result of the target charging station is determined to be the second judgment result. Finally, a target stage strategy is obtained based on the energy judgment result, and energy control operations are performed on the energy storage charging station according to the target stage strategy, thereby realizing energy control for different time periods of the energy storage charging station, improving the energy utilization rate of the energy storage charging station, and thereby improving the comprehensive benefits of the energy storage charging station.

[0064] Example 3

[0065] Figure 3 This is a schematic diagram of the structure of an energy control device for an energy storage charging station provided by the third embodiment of the present invention. Figure 3 As shown, the device includes:

[0066] The time period determination module 310 is used to obtain preset peak and valley time period information and determine whether the current time is within the peak and valley time period according to the peak and valley time period information;

[0067] A judgment result generating module 320 is configured to obtain real-time charging data and energy storage battery power of the target charging station after determining that the current time is within the peak or off-peak period, and calculate an energy judgment result based on the real-time charging data and energy storage battery power;

[0068] The energy control module 330 is configured to obtain a target phase strategy according to the energy determination result, and perform energy control operations on the energy storage charging station according to the target phase strategy.

[0069] The technical solution of the embodiment of the present invention obtains preset peak and valley period information, and determines whether the current time is in the peak and valley period based on the peak and valley period information. After determining that the current time is in the peak and valley period, the real-time charging data and the energy storage battery power of the target charging station are obtained, and an energy judgment result is calculated based on the real-time charging data and the energy storage battery power. Finally, a target stage strategy is obtained according to the energy judgment result, and energy control operations are performed on the energy storage charging station according to the target stage strategy, thereby realizing energy control for different time periods of the energy storage charging station, improving the energy utilization rate of the energy storage charging station, and thereby improving the comprehensive benefits of the energy storage charging station.

[0070] Based on the above embodiment, the judgment result generating module 320 includes:

[0071] A peak-valley consumption calculation unit, configured to calculate the peak-valley power consumption of each target vehicle according to the remaining charging time of each target vehicle in the target charging station, the current time, and the peak-valley period information;

[0072] a summing unit, configured to sum the peak and valley power consumption of each target vehicle to obtain a peak and valley total demand that matches the target charging station;

[0073] A judgment unit, configured to judge whether the total peak and valley demand is less than the power of the energy storage battery;

[0074] A first result unit, configured to determine that the energy judgment result of the target charging station is a first judgment result if it is less than;

[0075] The second result unit is configured to determine that the energy judgment result of the target charging station is a second judgment result if it is not less than.

[0076] Based on the above embodiment, the peak-valley consumption calculation unit includes:

[0077] A duration acquisition unit, configured to obtain the peak and valley charging duration of each target vehicle according to the remaining charging duration of each target vehicle in the target charging station, the current time, and the peak and valley time period information;

[0078] The consumption calculation unit is used to calculate the peak and valley power consumption of each target vehicle according to the peak and valley charging time of each target vehicle and the charging potential energy diagram of each target vehicle.

[0079] Based on the above embodiment, the energy control module 330 includes:

[0080] a first price adjustment unit, configured to generate first price adjustment information and send it to a user if the energy determination result is a first determination result, so that the user can adjust the charging electricity price of the target charging station based on the first price adjustment information;

[0081] The broadcast unit is configured to generate a price adjustment broadcast in response to a price adjustment operation by a user, and send the price adjustment broadcast to target customers via a preset broadcast method.

[0082] Based on the above embodiment, the energy control module 330 further includes:

[0083] The second price adjustment unit is configured to generate second price adjustment information and send the information to the user if the energy judgment result is the second judgment result, so that the user can adjust the charging electricity price of the target charging station based on the second price adjustment information.

[0084] Based on the above embodiment, the energy control device of the energy storage charging station further includes:

[0085] The charging module is configured to charge the energy storage battery of the target charging station if it is determined that the current time is not in a peak or off-peak period.

[0086] An energy control device for an energy storage charging station provided by an embodiment of the present invention can execute an energy control method for an energy storage charging station provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0087] Example 4

[0088] Figure 4 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0089] like Figure 4As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by the at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. Various programs and data required for the operation of the electronic device 10 can also be stored in the RAM 13. The processor 11, ROM 12 and RAM 13 are connected to each other via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0090] Multiple components in the electronic device 10 are connected to the I / O interface 15, including an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0091] The processor 11 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as an energy control method for an energy storage charging station.

[0092] Accordingly, the method includes:

[0093] Obtaining preset peak and valley time period information, and determining whether the current time is within the peak and valley time period based on the peak and valley time period information;

[0094] After determining that the current time is within the peak and valley period, obtaining real-time charging data and the energy storage battery power of the target charging station, and calculating an energy determination result based on the real-time charging data and the energy storage battery power;

[0095] A target phase strategy is obtained according to the energy judgment result, and energy control operations are performed on the energy storage charging station according to the target phase strategy.

[0096] In some embodiments, a method for controlling energy at an energy storage charging station may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for controlling energy at an energy storage charging station described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute a method for controlling energy at an energy storage charging station in any other appropriate manner (e.g., by means of firmware).

[0097] Various embodiments of the systems and techniques described herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0098] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0099] In the context of the present invention, computer-readable storage media can be tangible media that can contain or store a computer program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Computer-readable storage media can include but are not limited to electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, computer-readable storage media can be machine-readable signal media. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0100] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0101] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0102] A computing system may include clients and servers. The clients and servers are typically remote from each other and typically interact via a communication network. This client-server relationship arises through computer programs running on the respective computers, creating a client-server relationship. The server may be a cloud server, also known as a cloud computing server or cloud host. This server is a hosting product within the cloud computing service ecosystem that addresses the management difficulties and limited scalability of traditional physical hosting and VPS services.

[0103] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present invention can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved. This is not limited herein.

Claims

1. An energy control method for an energy storage charging station, characterized in that: include: Obtaining preset peak and valley time period information, and determining whether the current time is within the peak and valley time period based on the peak and valley time period information; After determining that the current time is within the peak and valley period, obtaining real-time charging data and the energy storage battery power of the target charging station, and calculating an energy determination result based on the real-time charging data and the energy storage battery power; A target phase strategy is obtained according to the energy judgment result, and energy control operations are performed on the energy storage charging station according to the target phase strategy.

2. The method according to claim 1, characterized in that The real-time charging data includes: the remaining charging time of each target vehicle in the target charging station and a charging potential energy diagram respectively matched with each target vehicle.

3. The method according to any one of claims 1-2, characterized in that The energy determination result is obtained based on the real-time charging data and the energy storage battery power, including: Calculate the peak and valley power consumption of each target vehicle according to the remaining charging time of each target vehicle in the target charging station, the current time, and the peak and valley time period information; Summing the peak and valley power consumption of each target vehicle to obtain a peak and valley total demand that matches the target charging station; Determining whether the total peak and valley demand is less than the power of the energy storage battery; If it is less than, determining that the energy judgment result of the target charging station is the first judgment result; If it is not less than, it is determined that the energy judgment result of the target charging station is the second judgment result.

4. The method according to claim 3, characterized in that The peak and valley power consumption of each target vehicle is calculated based on the remaining charging time of each target vehicle in the target charging station, the current time, and the peak and valley time period information, including: Obtaining the peak and valley charging time of each target vehicle according to the remaining charging time of each target vehicle in the target charging station, the current time, and the peak and valley time period information; According to the peak and valley charging time of each target vehicle and the charging potential energy diagram of each target vehicle, the peak and valley power consumption of each target vehicle are calculated respectively.

5. The method according to any one of claims 1 to 3, characterized in that The target phase strategy is obtained according to the energy judgment result, including: If the energy determination result is a first determination result, generating first price adjustment information and sending it to the user, so that the user can adjust the charging electricity price of the target charging station based on the first price adjustment information; A price adjustment broadcast is generated in response to a price adjustment operation by a user, and the price adjustment broadcast is sent to target customers through a preset broadcasting method.

6. The method according to any one of claims 1 to 3, characterized in that Obtaining a target phase strategy based on the energy judgment result further includes: If the energy determination result is the second determination result, second price adjustment information is generated and sent to the user, so that the user adjusts the charging electricity price of the target charging station based on the second price adjustment information.

7. The method according to claim 1, characterized in that The method further comprises: If it is determined that the current time is not in the peak or valley period, a charging operation is performed on the energy storage battery of the target charging station.

8. An energy control device for an energy storage charging station, characterized in that: include: A time period determination module is used to obtain preset peak and valley time period information and determine whether the current time is within the peak and valley time period according to the peak and valley time period information; A judgment result generation module is used to obtain real-time charging data and energy storage battery power of the target charging station after determining that the current time is within the peak and valley period, and calculate the energy judgment result based on the real-time charging data and energy storage battery power; An energy control module is used to obtain a target stage strategy according to the energy judgment result, and perform energy control operations on the energy storage charging station according to the target stage strategy.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the energy control method of the energy storage charging station according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the energy control method of an energy storage charging station according to any one of claims 1 to 7 when executed.

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