Method, device, equipment, medium and product for operating a refilling station

Abstract

This disclosure provides a method, apparatus, equipment, medium, and product for processing energy storage and charging station operation services. The method includes receiving user charging volume data from charging devices; receiving energy storage charging and discharging data from energy storage devices; responding to a first time condition being met at the current time, determining first service data corresponding to the charging service based on the user charging volume data within a first time period; determining second service data corresponding to the energy storage service based on the energy storage charging and discharging data within the first time period; and determining service revenue data for each service participant within the first time period based on the first and second service data. Each service participant includes a first participant corresponding to the charging devices, a second participant corresponding to the energy storage devices, and a third participant corresponding to the operation platform equipment. The service revenue data is then sent to the terminal devices of each participant, thereby automating the processing of service revenue for each participant and effectively improving the processing efficiency of the operation services.

Description

Technical Field

[0001] This disclosure relates to power technology, and in particular to a method, apparatus, equipment, medium, and product for handling energy storage and charging station operations. Background Technology

[0002] With the continuous development of the energy industry, the advancement of energy storage technology, and the continuous reduction of costs, integrated energy storage and charging has broad application prospects. In related technologies, integrated energy storage and charging typically involves energy storage investors investing in and distributing energy at charging stations to form integrated energy storage and charging stations (referred to as energy storage and charging stations or stations), participating in ancillary power services or generating revenue by utilizing peak-valley electricity price differences. However, in these technologies, the station operator settles accounts offline based on calculated revenue, transferring funds back to the energy storage investor and operating platform, resulting in low processing efficiency. Summary of the Invention

[0003] The embodiments of this disclosure provide a method, apparatus, equipment, medium, and product for processing storage and charging station operation services, so as to improve the processing efficiency of operation services.

[0004] A first aspect of this disclosure provides a method for processing the operation of a charging and storage station, applied to an operation platform device. The method includes: receiving user charging volume data from a charging device; receiving energy storage charging and discharging data from an energy storage device; responding to a first time condition being met at the current time, determining first service data corresponding to the charging service based on the user charging volume data within a first time period, the first service data including user charging fees within the first time period; determining second service data corresponding to the energy storage service based on the energy storage charging and discharging data within the first time period, the second service data including energy storage charging fees and energy storage discharging fees within the first time period; determining service revenue data for each service participant within the first time period based on the first service data and the second service data; each service participant including a first participant corresponding to the charging device, a second participant corresponding to the energy storage device, and a third participant corresponding to the operation platform device; and sending the service revenue data to the terminal devices corresponding to each of the service participants.

[0005] A second aspect of this disclosure provides a processing apparatus for the operation of a charging and storage station, applied to an operation platform device. The apparatus includes: a first receiving module for receiving user charging volume data from a charging device; a second receiving module for receiving energy storage charging and discharging data from an energy storage device; a first processing module for determining first service data corresponding to a charging service based on user charging volume data within a first time period, in response to a first time condition being met at the current time, the first service data including user charging fees within the first time period; a second processing module for determining second service data corresponding to an energy storage service based on energy storage charging and discharging data within the first time period, the second service data including energy storage charging fees and energy storage discharging fees within the first time period; a third processing module for determining service revenue data for each service participant within the first time period based on the first service data and the second service data; each service participant includes a first participant corresponding to the charging device, a second participant corresponding to the energy storage device, and a third participant corresponding to the operation platform device; and a sending module for sending the service revenue data to terminal devices corresponding to each of the service participants.

[0006] A third aspect of this disclosure is to provide a computer-readable storage medium storing a computer program for executing the processing method for storage and charging station operation business as described in any of the above embodiments of this disclosure.

[0007] A fourth aspect of this disclosure provides an electronic device, the electronic device comprising: a processor; a memory for storing executable instructions of the processor; the processor being configured to read the executable instructions from the memory and execute the instructions to implement the processing method for storage and charging station operation services as described in any of the above embodiments of this disclosure; or, the electronic device comprising: a processing apparatus for storage and charging station operation services as provided in any of the above embodiments.

[0008] A fifth aspect of this disclosure provides a computer program product that, when instructions in the computer program product are executed by a processor, performs a processing method for the operation of storage and charging stations provided in any of the above embodiments of this disclosure.

[0009] A sixth aspect of this disclosure provides a power storage and charging station operation system, comprising: a charging device for charging a user's battery; an energy storage device connected to both a power grid device and the charging device for storing electrical energy from the power grid device and providing electrical energy to the charging device; and an operation platform device communicating with both the charging device and the energy storage device for collecting data from the charging device and the energy storage device, and processing the power storage and charging station operation business as described in any of the above embodiments based on the collected data.

[0010] Based on the processing method, apparatus, equipment, medium, and product for energy storage and charging station operation provided in the above embodiments of this disclosure, the operation platform communicates with charging equipment and energy storage equipment to collect user charging data and energy storage charging and discharging data. When it is necessary to calculate revenue, the first business data corresponding to the energy storage business can be determined based on the user charging data within the first time period to be calculated, and the second business data corresponding to the energy storage business can be determined based on the energy storage charging and discharging data within the first time period. Then, based on the first business data and the second business data, the business revenue data of each business participant within the first time period is automatically determined. This realizes the automated processing of the business revenue of each business participant and can send the business revenue data to the terminal equipment of the corresponding participant, so that each business participant can obtain their own business revenue status in a timely manner, realize the transparency of revenue of charging business and energy storage business, and effectively improve the experience of each business participant. Attached Figure Description

[0011] Figure 1 This is an exemplary application scenario of the processing method for the operation of storage and charging stations provided in the embodiments of this disclosure;

[0012] Figure 2 This is a flowchart illustrating a method for processing storage and charging station operation services provided in an exemplary embodiment of this disclosure;

[0013] Figure 3 This is a flowchart illustrating a method for processing storage and charging station operation services provided in another exemplary embodiment of this disclosure;

[0014] Figure 4 This is a flowchart illustrating a method for processing storage and charging station operation services provided in yet another exemplary embodiment of this disclosure;

[0015] Figure 5 This is a flowchart illustrating a method for processing storage and charging station operation services provided in yet another exemplary embodiment of this disclosure;

[0016] Figure 6 This is a flowchart of a method for processing storage and charging station operation services provided in an exemplary embodiment of this disclosure;

[0017] Figure 7 This is a visual illustration of a daily charging service bill provided in an exemplary embodiment of this disclosure;

[0018] Figure 8 This is a visual schematic diagram of a daily charge and discharge bill for an energy storage service provided in an exemplary embodiment of this disclosure;

[0019] Figure 9 This is a schematic diagram of the structure of a processing apparatus for the operation of a storage and charging station provided in an exemplary embodiment of this disclosure;

[0020] Figure 10 This is a schematic diagram of the structure of a processing apparatus for the operation of a storage and charging station provided in another exemplary embodiment of this disclosure;

[0021] Figure 11 This is a structural diagram of an electronic device provided in an embodiment of this disclosure. Detailed Implementation

[0022] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present disclosure.

[0023] Those skilled in the art will understand that the terms "first," "second," etc., in the embodiments of this disclosure are only used to distinguish different steps, devices, or modules, and do not represent any specific technical meaning, nor do they indicate a necessary logical order between them.

[0024] It should also be understood that in the embodiments disclosed herein, "a plurality of" may refer to two or more, and "at least one" may refer to one, two or more.

[0025] It should also be understood that any component, data or structure mentioned in the embodiments of this disclosure can generally be understood as one or more unless expressly defined or given to the contrary in the context.

[0026] Furthermore, the term "and / or" in this disclosure is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this disclosure generally indicates that the preceding and following related objects have an "or" relationship.

[0027] It should also be understood that the description of the various embodiments in this disclosure emphasizes the differences between the various embodiments, and the similarities or similarities can be referred to each other. For the sake of brevity, they will not be described in detail.

[0028] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0029] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit this disclosure or its application or use.

[0030] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0031] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0032] This disclosure outlines

[0033] In the process of developing this disclosure, the inventors discovered that in related technologies for integrated energy storage and charging, energy storage investors typically invest in and allocate energy storage at charging stations to form integrated energy storage and charging stations (hereinafter referred to as energy storage and charging stations or stations), participating in power ancillary services or generating revenue by utilizing peak-valley electricity price differences. However, in related technologies, the station operator settles accounts offline based on calculated revenue, transferring funds to the energy storage investor (hereinafter referred to as the investor) and the operating platform, resulting in low processing efficiency.

[0034] Exemplary Overview

[0035] Figure 1 This is an exemplary application scenario of the processing method for the operation of energy storage and charging stations provided in the embodiments of this disclosure. For example... Figure 1As shown, a charging and energy storage station can be equipped with charging equipment (or charging piles) 11 and energy storage equipment 12 to provide charging services to charging users (hereinafter referred to as users). The number of charging equipment 11 and energy storage equipment 12 is not limited. Charging equipment 11 and energy storage equipment 12 can communicate with an operation platform device 13, which can be a physical server, cloud server, etc., and is not specifically limited. An operation platform is deployed on the operation platform device 13 to implement the processing method for the operation services of the charging and energy storage station according to this embodiment. Charging equipment 11 and energy storage equipment 12 can communicate with the operation platform device 13 through communication links such as networks. Energy storage equipment 12 can communicate with charging equipment 11 and monitor charging parameters such as the charging power of charging equipment 11. Data is collected from charging equipment 11 and energy storage equipment 12 by the operation platform device 13 to automatically process the charging and energy storage services of the charging and energy storage station, thereby achieving automated processing and obtaining business revenue for each business participant. Each business participant may include the first participant (or simply the first party, the site operator) corresponding to the charging equipment 11, the second participant (or simply the second party, the investor) corresponding to the energy storage equipment 12, and the third participant (or simply the third party, the platform operator) corresponding to the operation platform equipment 13. Specifically, the operation platform equipment 13 can receive user charging volume data from the charging equipment 11; receive energy storage charging and discharging data from the energy storage equipment 12; respond to the current time meeting the first time condition, determine the first business data corresponding to the charging business based on the user charging volume data within the first time period, the first business data including the user charging fee within the first time period; determine the second business data corresponding to the energy storage business based on the energy storage charging and discharging data within the first time period, the second business data including the energy storage charging fee and the energy storage discharging fee within the first time period; determine the business revenue data of each business participant within the first time period based on the first business data and the second business data; and send the business revenue data to the terminal equipment corresponding to each business participant. This enables automated processing of revenue from all three business entities, effectively improving operational efficiency and allowing each business participant to obtain timely revenue data through terminal devices, thus making revenue transparent and enhancing the experience for all participants.

[0036] In this embodiment, energy storage refers to distributed power storage. In grid-distributed energy storage devices, electrical energy is stored and managed to improve the power system's supply and demand balance, peak shaving and valley filling, stability, and power quality. Distributed power storage devices are typically installed near power loads, such as the energy storage device 12 described above located at a storage and charging station. They operate in conjunction with renewable energy generation equipment or traditional generation equipment to store and reproduce electricity. Business revenue refers to the revenue generated by pricing the electricity produced through services provided by the energy storage and charging devices.

[0037] Exemplary methods

[0038] Figure 2 This is a flowchart illustrating a method for processing storage and charging station operation services provided in an exemplary embodiment of this disclosure. The embodiments of this disclosure can be applied to electronic devices, specifically such as servers and terminal devices deployed with an operation platform, etc. Figure 2 As shown, the method provided in the embodiments of this disclosure may include the following steps:

[0039] Step 210: Receive user charging data from the charging device.

[0040] The user charging data can include the charging amount for each user order based on a first time granularity. The first time granularity can be set to any granularity, such as 15 minutes, half an hour, 1 hour, etc., without any specific limitation. Based on the first time granularity, a day can be divided into multiple time intervals. For example, if the first time granularity is 15 minutes, then the 24 hours of a day can be divided into 96 time intervals.

[0041] In some optional embodiments, the operating platform can communicate with the charging devices in real time. Each charging device, while providing charging services to users, can send user charging volume data for each order within each time interval to the operating platform at a specified frequency. The operating platform can then store this user charging volume data along with the corresponding order. The specified frequency can be the frequency corresponding to a first time granularity or other frequencies. For example, if the first time granularity is 15 minutes, the charging device can send the user charging volume data for the most recent 15 minutes to the operating platform every 15 minutes. Alternatively, the charging device can send user charging volume data for every 15 minutes of the most recent half hour to the operating platform every half hour. The specific frequency of sending user charging volume data can be set according to actual needs, and this disclosure does not limit it.

[0042] Step 220: Receive energy storage charging and discharging data from the energy storage device.

[0043] Among them, energy storage charging and discharging data refers to the relevant data of energy storage devices storing energy through charging and providing energy to charging devices through discharging.

[0044] In some optional embodiments, the energy storage charge and discharge data of the energy storage device may include the energy storage charge amount and / or energy storage discharge amount based on a first time granularity. The same energy storage device may be in at least one state of charging and discharging within the same time interval. Therefore, the energy storage charge and discharge data transmitted by an energy storage device at one time may include only the energy storage charge amount, only the energy storage discharge amount, or both the energy storage charge amount and the energy storage discharge amount.

[0045] In some optional embodiments, the operating platform can communicate with the energy storage devices in real time. Each energy storage device sends its energy charging and / or discharging data for each time interval to the operating platform at a specified frequency. The operating platform stores the received energy charging and discharging data, including the specific time interval (which may include year, month, day, and time interval) and the corresponding energy charging and / or discharging data. Optionally, the time intervals can be represented by numbers, such as 1 to 96 representing 96 time intervals within a day, each corresponding to 15 minutes within a day. The specific representation method is not limited.

[0046] In some optional embodiments, the frequency at which the energy storage device sends energy storage charging and discharging data may be the same as or different from the frequency at which the charging device sends user charging data, and there is no specific limitation.

[0047] It should be noted that steps 210 and 220 are not in any particular order.

[0048] Step 230: In response to the current time meeting the first time condition, determine the first service data corresponding to the charging service based on the user charging data within the first time period.

[0049] The first business data includes user charging fees within a first time period. The current time is the current real-time time. The first time condition can be set according to the agreed-upon time period, such as 1 day, 1 week, 1 month, etc., with no specific limitation. For example, the first time condition can be a pre-configured daily processing time point, such as the end time of each day (e.g., 0:00) or a specific time point after the end of each day (e.g., 1:00 AM the following day). Alternatively, the first time condition can be a pre-configured monthly settlement time point, such as specifying a specific time point on the 1st of each month for monthly revenue settlement; in this case, the first time condition is the time from the current time to the specified time point on the 1st of each month. The first time period is determined based on the first time condition. If the first time condition is a daily revenue processing time condition, the first time period is the day before the current time; if the first time condition is a monthly revenue settlement time condition, the first time period is the month preceding the current time, including the specified date. User charging volume data within the first time period can be extracted from stored user charging volume data from charging devices based on time.

[0050] Charging services refer to the services provided by energy storage and charging stations to users through charging equipment. Examples include electric bicycle charging services, electric vehicle charging services, and electric vehicle portable battery charging services, etc., without specific limitations. The first service data within the first time period refers to the billing data generated by charging services within that first time period.

[0051] In some optional embodiments, the time granularity of the first business data can be one day or a time interval within one day, or the time granularity of the first business data can be the total duration of a first time period. For example, the first business data may include charging fees generated in each time interval within the first time period, charging fees generated each day, or the total charging fees generated within the first time period. Optionally, the first business data may also include other related fees, such as service fees.

[0052] In some optional embodiments, the first service data may include charging costs at multiple time granularities. For example, the first service data may include two or three of the following: charging costs for each time interval within a first time period, daily charging costs, and total charging costs within the first time period. Optionally, the first service data may also include other fees, such as service fees.

[0053] In some optional embodiments, the execution of step 230 can be manually triggered by the relevant responsible personnel. For example, the relevant responsible personnel determine that a specified time has been reached, manually trigger the operation, the operation platform obtains the relevant trigger operation, determines that the current time meets the first time condition, and begins to execute step 230 and subsequent steps. The specific triggering method is not limited.

[0054] In some optional embodiments, the charging cost for each time interval can be determined based on the electricity price and the user's charging volume for each time interval, and then the first service data can be determined based on the charging cost for each time interval.

[0055] Step 240: Based on the energy storage charging and discharging data within the first time period, determine the second business data corresponding to the energy storage business.

[0056] The second set of business data includes energy storage charging fees and energy storage discharging fees for the first time period. Energy storage business involves storing electrical energy using energy storage devices and discharging it to charging devices. Energy storage charging fees refer to the fees payable by the energy storage business, specifically the costs incurred when energy storage devices charge (store) energy from the grid. Energy storage discharging fees are the fees receivable by the energy storage business, specifically the fees received for charging users' vehicles or batteries by discharging energy from energy storage devices to charging devices.

[0057] In some optional embodiments, the time granularity of the second business data is consistent with that of the first business data; that is, the time granularity of the second business data can be 1 day, the duration of a time interval within 1 day (e.g., 10 minutes, 15 minutes, 30 minutes, etc.), 1 week, 1 month, etc. For example, the second business data includes the total fees payable and the total fees receivable for energy storage services each day within the first time period. As another example, the second business data includes the fees payable and / or the fees receivable for energy storage services for each time interval within the first time period.

[0058] In some optional embodiments, when the duration of the first time period is longer than one day, such as a week or a month, the user charging fee, energy storage charging fee, and energy storage discharging fee for each day within the first time period can be obtained and stored in a designated storage space at a specified time after the end of each day. For example, at a specified time after the end of each day, based on the relevant data of the charging and energy storage devices collected that day (such as user charging data and energy storage charging and discharging data), the user charging fee, energy storage charging fee, and energy storage discharging fee for that day are determined. When the current time meets the first time condition, the user charging fee for each day within the first time period can be obtained from the designated storage space to determine the first business data within the first time period, and the energy storage charging fee and energy storage discharging fee for each day within the first time period can be obtained from the designated storage space to determine the second business data within the first time period.

[0059] In some optional embodiments, if the duration of the first time period is longer than one day, the user charging fee for each day can be determined in real time based on user charging volume data for each time interval from the charging device, which is received and stored in advance, and the energy storage charging fee and energy storage discharging fee for each day can be determined based on energy storage charging and discharging data from the energy storage device, provided that the first time condition is met at the current time. Then, based on the user charging fee for each day, the first service data for the first time period is determined, and based on the energy storage charging and discharging fees for each day, the second service data for the first time period is determined.

[0060] It should be noted that, if the first time condition is met at the current time, the execution order of step 230, which determines the first business data, and step 240, which determines the second business data, is not important.

[0061] Step 250: Based on the first business data and the second business data, determine the business revenue data of each business participant in the first time period.

[0062] The participating parties include the first participant (or simply the first party or the site operator) for charging equipment, the second participant (or simply the second party or the energy storage provider) for energy storage equipment, and the third participant (or simply the third party or the platform provider) for the operation platform equipment. The revenue data for each participant within the first time period may include the total revenue of each participant and / or the respective revenue of each participant in the energy storage and charging businesses.

[0063] In some optional embodiments, the business revenue of each business participant within the first time period can be determined through pre-configured business processing logic based on the user charging fee, energy storage charging fee, and energy storage discharging fee for each day within the first time period. This revenue is then used as the business revenue data. The business processing logic can be based on the agreement settings of each business participant in the charging and energy storage businesses. For example, for the energy storage business, the peak-valley price difference fee can be determined based on the energy storage charging fee and energy storage discharging fee in the second business data, and is shared by the first, second, and third participants according to the agreement ratio. The overall revenue is the user charging fee and service fee in the first business data, with the service fee for the charging business shared by the first and third participants according to the agreement ratio. The user charging fee in the charging business, excluding the peak-valley price difference fee, is the fee due to the first participant. Based on this, the business revenue of each business participant can be determined.

[0064] Step 260: Send the business revenue data to the terminal devices corresponding to each business participant.

[0065] The terminal devices for each business participant can be pre-configured devices capable of communicating with the operation platform. These devices can have the corresponding operational business applications (clients) installed, allowing participants to access the operation platform and view business revenue data through these applications. Terminal devices can be, for example, mobile phones, tablets, computers, etc., with no specific limitations.

[0066] In some optional embodiments, for each business participant, the business revenue information related to that business participant in the business revenue data can be sent to the terminal device of that business participant.

[0067] The method for processing the operation business of energy storage and charging stations provided in the embodiments of this disclosure communicates with charging equipment and energy storage equipment through an operation platform to collect user charging data and energy storage charging and discharging data. When it is necessary to calculate revenue, the method can determine the first business data corresponding to the energy storage business based on the user charging data within the first time period to be calculated, and determine the second business data corresponding to the energy storage business based on the energy storage charging and discharging data within the first time period. Then, based on the first business data and the second business data, the business revenue data of each business participant within the first time period is automatically determined. This realizes the automated processing of the business revenue of each business participant and can send the business revenue data to the terminal devices of the corresponding participants, so that each business participant can obtain their own business revenue status in a timely manner, realize the transparency of revenue of charging business and energy storage business, and effectively improve the experience of each business participant.

[0068] Figure 3This is a flowchart illustrating a method for processing storage and charging station operation services provided in another exemplary embodiment of this disclosure.

[0069] In some alternative embodiments, in the above... Figure 2 Based on the embodiment shown, the user charging data within the first time period includes the charging amount corresponding to each user order within the first time period based on a first time granularity; the duration corresponding to the first time granularity is less than the duration of the first time period.

[0070] like Figure 3 As shown, the response in step 230 satisfies the first time condition at the current time. Based on the user charging data within the first time period, the first service data corresponding to the charging service is determined, which may include:

[0071] Step 2310: In response to the current time meeting the first time condition, obtain the electricity price based on the first time granularity within the first time period.

[0072] The electricity price based on the first time granularity within the first time period can be obtained in any way. For example, the electricity price based on the first time granularity within the first time period can be obtained according to the pre-configured time-of-use pricing rules.

[0073] Step 2320: Determine the first business data based on the charging amount corresponding to each user order within the first time period and the electricity price within the first time period based on the first time granularity.

[0074] Here, "user" refers to a user who needs to charge their electric vehicle or battery. A user order is an order generated by a user who needs to charge their electric vehicle or battery. The duration of the first time granularity is the duration of the time interval in the above embodiment. In practical applications, the first time granularity can be determined based on the actual duration of electricity metering. For example, a day can be divided into 96 time intervals, i.e., one 15-minute interval, and each time interval can be represented as one point.

[0075] In some optional embodiments, the charging amount corresponding to a user order, based on a first time granularity, can be obtained through a meter on the charging device. For example, a charging user sends a charging request to the operation platform via scanning a code on their user terminal. The operation platform responds to the charging request, communicates with the charging device, and controls the charging device to start charging the user's vehicle or battery. The operation platform records the charging order information of the user, the meter measures the charging amount of the user, and the charging device stores the charging amount measured by the meter locally and / or periodically sends it to the operation platform, thus realizing the collection of the charging amount for each user order.

[0076] In some optional embodiments, the cost of each order in each time interval can be calculated based on the charging amount of each order in each time interval and the electricity price of the corresponding time interval. Then, based on the cost of each order in each time interval, the first business data for the first time period can be determined. For example, the total cost for each time interval can be determined based on the cost of each order in each time interval, i.e., the total cost generated by all charging within that time interval. As another example, the total cost for each day can be determined based on the cost of each order in each time interval.

[0077] In some optional embodiments, at the end of each day, the user charging cost for that day can be determined based on the charging volume corresponding to each user order at a first time granularity and the electricity price for each time interval at the first time granularity. This determined user charging cost for the day is then stored in a designated storage space. When a first time condition is met, the user charging cost for each day within a first time period can be retrieved from the designated storage space, and first business data can be determined based on the user charging cost for each day. For example, the process of determining the user charging cost for the previous day can be triggered at a designated time point each day (e.g., 0:00, 1:00, etc.) to obtain the user charging cost for the previous day.

[0078] In some optional embodiments, the user charging fee for each period (i.e., time interval) can be determined based on the time period of the first time granularity, and the user charging fee for each day can be obtained based on the user charging fee for each period at the end of each day or at the time of settlement.

[0079] In some optional embodiments, the number of time intervals within a day is N, and the time intervals are sequentially represented as 1, 2, ..., N, with the electricity price of the nth time interval being P. n There are m orders in the nth time interval, and the order number is o. i Orders i The amount of charge in the nth time interval is denoted as EC. n (o i The total charging amount (EC) of m orders in the nth time interval. n (total) can be represented as:

[0080]

[0081] The charging fees collected from users in the nth time interval OU n as follows:

[0082] OU n =P n *EC n (total) (Formula 2)

[0083] The total charging cost (OU) for that day is shown below:

[0084]

[0085] The first business data within the first time period can include the OU corresponding to each time interval within each day of the first time period. n And at least one of the total charging cost OU for that day.

[0086] In some optional embodiments, for each time interval, the charging cost of each order can be calculated first based on the charging amount and electricity price of each order within that time interval, and then the total charging cost OU for that time interval can be calculated based on the charging costs of all orders within that time interval. n The specific order of calculation is not limited.

[0087] The embodiments of this disclosure effectively determine the user charging cost for each day's charging service by collecting the charging amount of each order during the charging process based on a first time granularity and combining it with the electricity price of each time interval, thus providing an effective charging cost reference for determining the settlement bill.

[0088] In some optional embodiments, based on any of the above embodiments, the response of step 230 to the current time satisfying a first time condition, and to determine the first service data corresponding to the charging service based on the user charging amount data within the first time period, may include:

[0089] Obtain the service fee corresponding to each user order within the first time period. Based on the service fee corresponding to each user order within the first time period, determine the service fee corresponding to the charging service within the first time period. Based on the user charging volume data within the first time period and the service fee corresponding to the charging service within the first time period, determine the first service data corresponding to the charging service.

[0090] The first business data includes user charging fees and service fees within a first time period. The determination of user charging fees can be found in the aforementioned embodiments. Service fees are the costs incurred in providing charging services to users, excluding charging fees. Charging fees are the electricity costs incurred by users while charging.

[0091] In some alternative embodiments, the service fee may be calculated based on charging time or other methods, and is not limited to the fee at the first time granularity.

[0092] In embodiments of this disclosure, first business data is determined based on user charging fees and service fees to determine the business revenue of each business participant, thereby ensuring the accuracy and effectiveness of the business revenue.

[0093] In some optional embodiments, the energy storage charging and discharging data within the first time period includes the energy storage charging amount and energy storage discharging amount based on the first time granularity within the first time period; the duration corresponding to the first time granularity is less than the duration of the first time period.

[0094] like Figure 3 As shown, step 240, based on the energy storage charging and discharging data within the first time period, determines the second business data corresponding to the energy storage business, including:

[0095] Step 2410: Obtain the electricity price based on the first time granularity within the first time period.

[0096] For details on step 2410, please refer to step 2310.

[0097] In some optional embodiments, if the electricity price based on the first time granularity within the first time period has been obtained in step 2310, step 2410 can be avoided, and the data obtained in step 2310 can be used directly.

[0098] Step 2420: Determine the energy storage charging cost for the first time period based on the energy storage charging amount based on the first time granularity and the electricity price based on the first time granularity within the first time period.

[0099] Among them, the energy storage charging amount based on the first time granularity includes the charging amount of the energy storage device in each time interval within the first time period, that is, the charging amount from the grid to the energy storage device.

[0100] In some optional embodiments, the energy storage charging amount based on a first time granularity within a first time period can be obtained by the energy storage device. For example, the energy storage device can be equipped with a charging meter to measure the energy storage charging amount within each time interval.

[0101] In some optional embodiments, the daily energy storage charging amount based on the first time granularity within the first time period may be collected from the energy storage device at a specified cycle on that day, or collected from the energy storage device at the end of the day or at a specified time after the end of the day, and may be stored in a specified storage space. When the first time condition is met, the daily energy storage charging amount based on the first time granularity can be obtained from the specified storage space, and the energy storage charging cost within the first time period is determined based on the daily energy storage charging amount based on the first time granularity and the electricity price based on the first time granularity within the first time period.

[0102] In some optional embodiments, the energy storage device may be equipped with a local energy management system (EMS) to manage the charging and discharging of the energy storage device. The EMS can communicate with the operation platform in real time and send the charging amount of each time interval to the operation platform.

[0103] In some optional embodiments, taking any 1 day as an example, the energy storage charging amount in the nth time interval is represented as EC. n The electricity price is P n The energy storage fee (i.e., energy storage charging fee) payable in the nth time interval is OS. n It can be represented as follows:

[0104] OS n =P n *EC n (Formula 4)

[0105] The total cost payable for energy storage on that day (i.e., the energy storage charging cost for that day) OS is:

[0106]

[0107] If the first time period includes multiple days, the energy storage charging costs for each day within the first time period can be summed to obtain the total energy storage charging cost for the first time period.

[0108] The energy storage charging cost in the second business data can include the energy storage charging cost for each time interval (OS). n One of the following: daily energy storage charging cost (OS) and energy storage charging cost within the first time period.

[0109] Step 2430: Determine the energy storage discharge cost for the first time period based on the energy storage discharge amount based on the first time granularity within the first time period and the electricity price based on the first time granularity within the first time period.

[0110] Among them, the energy storage discharge amount is the amount of discharge from the energy storage device to the charging device.

[0111] In some optional embodiments, the energy storage discharge amount based on the first time granularity within the first time period can be obtained by the energy storage device. For example, the energy storage device can be equipped with a discharge meter to measure the energy storage discharge amount within each time interval.

[0112] In some optional embodiments, the energy storage discharge amount based on the first time granularity for each day within the first time period may be collected from the energy storage device at a specified cycle on that day, or collected from the energy storage device at the end of the day or at a specified time after the end of the day, and may be stored in a specified storage space. When the first time condition is reached, the energy storage discharge amount based on the first time granularity within the first time period can be obtained from the specified storage space.

[0113] In some alternative embodiments, the energy storage charge and discharge amounts based on a first time granularity can be obtained by measuring the energy storage device using a bidirectional meter.

[0114] In some optional examples, taking any 1 day as an example, the energy storage discharge in the nth time interval is represented as ED. n The electricity price is P n The energy storage charges (i.e., energy storage discharge fees) for the nth time interval are IS. n It can be represented as follows:

[0115] IS n =P n *ED n (Formula 6)

[0116] The energy storage discharge cost IS for that day is:

[0117]

[0118] If the first time period includes multiple days, the energy storage discharge cost for each day within the first time period can be summed to obtain the energy storage discharge cost for the first time period.

[0119] The energy storage and discharge costs in the second business data can include the energy storage and discharge costs corresponding to each time interval within the first time period. n At least one of the following: the daily energy storage discharge cost IS during the first time period and the energy storage discharge cost during the first time period.

[0120] It should be noted that the execution order of steps 2430 and 2420 is not important.

[0121] The embodiments of this disclosure effectively determine the daily energy storage charging and discharging costs by collecting the energy storage charging and discharging amounts for each time interval within each day and combining them with the electricity price for each time interval. This provides effective energy storage charging and discharging costs for determining the business revenue of each business participant.

[0122] Figure 4 This is a flowchart illustrating a method for processing storage and charging station operation services provided in another exemplary embodiment of this disclosure.

[0123] In some alternative embodiments, based on any of the above embodiments, such as Figure 4 As shown, step 250, which determines the business revenue data of each business participant within the first time period based on the first business data and the second business data, may include:

[0124] Step 2510: Determine the revenue of the first energy storage business within the first time period based on the energy storage charging cost and energy storage discharging cost within the first time period.

[0125] Specifically, the revenue from the first energy storage business refers to the peak-valley price difference generated during the first time period for energy storage charging and discharging. The peak-valley price difference can be represented by the difference between the energy storage discharging cost and the energy storage charging cost.

[0126] In some optional embodiments, the peak-valley price difference fee for each time interval within the first time period can be determined first, and then the peak-valley price difference fee for the first time period can be determined based on the peak-valley price difference fee for each time interval within the first time period.

[0127] In some optional embodiments, the peak-valley price difference fees for each time interval within each day can be summed to obtain the peak-valley price difference fee for that day, and then the peak-valley price difference fees for each day within the first time period can be summed to obtain the peak-valley price difference fee for the first time period.

[0128] For example, taking any 1st day as an example, the peak-to-valley price difference S in the nth time interval within that day. n It can be represented as follows:

[0129] S n =IS n -OS n (Formula 8)

[0130] The peak-valley price difference fee (ST) for that day can be expressed as follows:

[0131]

[0132] In some optional embodiments, the energy storage discharge cost IS and the energy storage charging cost OS for the day can be determined first, and then the peak-valley price difference cost ST for the day can be determined based on the energy storage discharge cost IS and the energy storage charging cost OS for the day, as shown below:

[0133] ST = IS - OS (Formula 10)

[0134] In some optional embodiments, the total cost of energy storage discharge and the total cost of energy storage charging in the first time period can be determined first, and then the total cost of peak-valley price difference in the first time period can be determined based on the total cost of energy storage discharge and the total cost of energy storage charging in the first time period.

[0135] Step 2520: Based on the revenue from the first energy storage business within the first time period and the first agreement ratio of each business participant in the pre-configured energy storage business, determine the revenue from the second energy storage business corresponding to each business participant.

[0136] The first agreement ratio can be a tripartite agreement ratio determined in advance by the first, second, and third participating parties.

[0137] For example, if the first agreement ratio is x:y:z, then the revenue from the second energy storage business of the first participant, the second participant, and the third participant can be expressed as [ST*x, ST*y, ST*z], where x+y+z=1.

[0138] Step 2530: Based on the first business data and the first energy storage business revenue, determine the first charging business revenue corresponding to each business participant in the charging business.

[0139] The first business data represents the total fees paid by charging users within the first time period. The energy storage business revenue of each business participant within the first time period is derived from the fees paid by charging users. The first charging business revenue of each business participant can be determined by deducting the second energy storage business revenue from the fees in the first business data, and then allocating the remaining fees accordingly. The business participants in the charging business include the first participant corresponding to the charging equipment and the third participant corresponding to the operating platform equipment. Optionally, the charging business revenue of the second participant corresponding to the energy storage equipment can be set to zero. That is, the business participants in the charging business can include the first, second, and third participants, but the charging business is unrelated to the second participant, and the second participant's charging business revenue is zero.

[0140] Step 2540: Based on the revenue from the second energy storage business and the revenue from the first charging business corresponding to each business participant, determine the business revenue data for each business participant within the first time period.

[0141] The revenue from the second energy storage business and the revenue from the first charging business for each participating business entity represent the total cost paid by charging users within the first time period, allocated to each participating business entity. Therefore, based on the revenue from the second energy storage business and the revenue from the first charging business for each participating business entity within the first time period, the revenue data for each participating business entity within the first time period can be determined. That is, the revenue data for each participating business entity within the first time period can include the total revenue of each participating business entity within the first time period. Alternatively, the revenue data can include the revenue from the second energy storage business and the revenue from the first charging business for each participating business entity within the first time period. Or, the revenue data can include the total revenue of each participating business entity within the first time period, the revenue from the second energy storage business, and the revenue from the first charging business. The specific content of the revenue data is not limited.

[0142] In some optional embodiments, when the first time period includes multiple days, the business revenue data may include not only the overall revenue, but also the daily revenue of each business participant within the first time period. The daily revenue may include one or more of the following: daily total revenue, daily energy storage business revenue, and daily charging business revenue, without any specific limitation.

[0143] In some optional embodiments, the first time period includes the number of days T, and on the j-th day (j = 1, 2, ..., T), the total daily revenue of the first participant is represented as F. xj The total daily revenue of the second participant is represented by F. yj The total daily revenue of the third participant is represented by F. zj The total revenue F of each business participant in the first time period x F y and F z These can be represented as follows:

[0144]

[0145] The embodiments of this disclosure determine the energy storage business revenue of each business participant by the peak-valley price difference fees receivable for the energy storage business. Then, by combining the energy storage business revenue with the user charging fees and service fees, the charging business revenue of each business participant is determined. This provides effective data for determining the business revenue of each business participant for both energy storage and charging businesses, realizes automated processing of the three-party profit sharing of energy storage and charging businesses, and effectively improves the processing efficiency of operational business.

[0146] In some alternative embodiments, based on any of the above embodiments, the first business data includes user charging fees and service fees within a first time period.

[0147] Step 2530, which determines the first charging business revenue for each participant in the charging business based on the first business data and the first energy storage business revenue, may include:

[0148] Based on the user charging fees and the revenue from the first energy storage business in the first business data, the charging fee revenue of the designated business participant in the first time period is determined; based on the service fees in the first business data and the pre-configured second agreement ratio, the service fee revenue corresponding to each business participant is determined; based on the charging fee revenue and service fee revenue of the designated business participant, the first charging business revenue corresponding to the designated business participant is determined; based on the service fee revenue of other business participants, the first charging business revenue corresponding to other business participants is determined; other business participants are those other than the designated business participant among all business participants.

[0149] The designated business participant is the first participant corresponding to the charging equipment. For charging users, the remaining charging fee, excluding the peak-valley price difference shared by all three parties, should be the revenue of the first participant. Therefore, based on the difference between user charging fees and the revenue of the first energy storage business in the first business data, the charging fee revenue of the first participant in the first time period can be obtained. For the service fee in the first business data, it is shared by the first participant and the third participant corresponding to the operating platform according to the proportion of the second agreement. The proportion of the second agreement can be determined in advance through negotiation between the two parties. For example, if the proportion of the second agreement between the first participant and the third participant is 5:1, then 5 / 6 of the service fee is the revenue of the first participant, and 1 / 6 is the revenue of the third participant. The charging business revenue is broken down into charging fee revenue and service fee revenue. Ultimately, the business revenue of the first participant in the first time period includes energy storage business revenue (i.e., the second energy storage business revenue corresponding to the first participant), charging fee revenue, and service fee revenue. The business revenue of the second participant in the first time period is energy storage business revenue (i.e., the second energy storage business revenue corresponding to the second participant). The business revenue of the third participant in the first time period includes energy storage business revenue (i.e., the second energy storage business revenue corresponding to the third participant) and service fee revenue.

[0150] In some optional embodiments, the second protocol ratio can be a three-party protocol ratio of the first participant, the second participant, and the third participant, wherein the ratio of the second participant is zero (0) since the charging service is unrelated to the second participant. For example, the second protocol ratio can be 5:0:1.

[0151] In some optional embodiments, the business revenue data may include the total revenue of each business participant and the revenue of each category. For example, the business revenue of the first participant includes the total revenue within a first time period, as well as the charging fee revenue, service fee revenue, and energy storage business revenue included in that total revenue.

[0152] In some optional embodiments, taking day 1 as an example, the charging fee revenue f of the first participating party on that day... OU It can be represented as follows:

[0153] f OU =OU-ST (Formula 14)

[0154] If the first time period includes multiple days, the charging fee revenue for each day within the first time period can be calculated as f. OU The charging fees earned by the first participant during the first time period are accumulated.

[0155] In the embodiments of this disclosure, the charging service is divided into two items: charging fee and service fee. This facilitates the determination of the revenue of each party in the charging service and enables automated settlement of energy storage and charging services.

[0156] In some optional embodiments, the total charging cost and total service cost for the charging service within the first time period can be determined based on the daily user charging cost and service cost; the total energy storage charging cost within the first time period can be determined based on the daily energy storage charging cost; the total energy storage discharging cost within the first time period can be determined based on the daily energy storage discharging cost; and then, the various types of business revenue for each business participant can be determined based on the total costs within the first time period. Specifically, the total peak-valley price difference cost can be determined based on the total energy storage charging cost and the total energy storage discharging cost within the first time period; then, based on the first agreement ratio, the second energy storage business revenue for each business participant within the first time period can be determined. The charging cost revenue for the first participant within the first time period can be determined based on the total charging cost and the total peak-valley price difference cost receivable within the first time period; the service cost revenue for the first participant and the third participant within the first time period can be determined based on the total service cost within the first time period and the second agreement ratio. Thus, the various types of revenue for each business participant within the first time period are obtained, and the total revenue for each business participant within the first time period can be further determined.

[0157] Figure 5 This is a flowchart illustrating a method for processing storage and charging station operation services provided in yet another exemplary embodiment of this disclosure.

[0158] In some optional embodiments, based on any of the above embodiments, the first time condition is the time condition for determining the daily revenue; the duration of the first time period is 1 day.

[0159] After determining the business revenue data of each business participant within the first time period based on the first business data and the second business data in step 250, the method of this embodiment may further include:

[0160] Step 310: In response to the current time meeting the settlement time condition, determine the total revenue data of each business participant in the second time period based on the business revenue data of each business participant for each day in the second time period to be settled.

[0161] The duration of the second time period is an integer multiple of the duration of the first time period.

[0162] In some optional embodiments, for each business participant, the business revenue of that participant on each day within the second time period can be summed to obtain the total business revenue of that participant within the second time period. Optionally, the business revenue of that participant for each type of business on each day can be summed to obtain the total revenue for each type of business. That is, the total revenue data within the second time period can include the total business revenue of each business participant and the total revenue for each type of business. For example, the total business revenue of the first participant in the second time period, the total revenue of the energy storage business, and the total revenue of the charging business. The specific content of the total revenue data is not limited.

[0163] Step 320: Perform settlement processing based on the total revenue data.

[0164] The total revenue data represents the revenue that each business participant should receive in the second time period. Payments can be made to each participant's corresponding revenue account based on the total revenue data to complete the settlement. The account collecting user fees is designated as account A for the third participant, account B for the first participant, account C for the second participant, and account D for the third participant. Therefore, payments are triggered from account A to accounts B, C, and D based on the total revenue data, achieving automated settlement.

[0165] The embodiments of this disclosure can obtain the total revenue data of each business participant in the second time period by using the business revenue data of each business participant for each day in the second time period. This enables automated settlement of revenue, improves settlement processing efficiency, avoids the problem of payment delay caused by offline settlement, and effectively enhances the experience of each business participant.

[0166] In some optional embodiments, the total revenue data for the second time period can be sent to the terminal devices of each business participant for confirmation. After confirmation, settlement processing is carried out based on the total revenue data to further ensure the accuracy of the settlement results.

[0167] In some optional embodiments, based on any of the above embodiments, step 260, which involves sending the business revenue data to the terminal devices corresponding to each business participant, may include:

[0168] Based on the business revenue data, generate a business revenue bill in a preset format for each terminal device; send the business revenue bill in the preset format for each terminal device to the corresponding terminal device so that each terminal device can visualize the business revenue bill.

[0169] The preset format can be set to any visualization format according to actual needs, such as tables, charts, etc., so that relevant personnel of each business participant can easily view their respective business revenue. The specific format is not limited. The business revenue statement of each business participant can include the total revenue of the business participant in the first time period, and can also include each type of revenue in the first time period, such as the energy storage business revenue, charging fee revenue, and service fee revenue of the first participant, the energy storage business revenue of the second participant, and the energy storage business revenue and service fee revenue of the third participant. Optionally, the business revenue statement can also include more detailed statement information, such as business revenue statements at the minute level or hour level, etc. The specific details can be determined by the business participants through negotiation, and this embodiment of the disclosure does not limit it.

[0170] In some optional embodiments, based on the agreements between the various business participants, each participant can log in to the operation platform via a terminal device to view the daily business revenue statement in real time. The daily business revenue statement can be generated in a preset format, allowing it to be visualized on the terminal devices of all parties. The specific display method is not limited, such as displaying it in tabular form or in various graph forms.

[0171] In some optional embodiments, the daily business revenue bill can be determined promptly at a designated time after the end of each day. For example, on the current date (e.g., year A, month B, day C), data can be collected from charging and energy storage devices according to a predetermined cycle. At a designated time after the end of the current date (e.g., 0:00 or 1:00 on the next date c+1), the first and second business data for day c are determined based on the data collected on the current date c. Then, based on the first and second business data for day c, the daily business revenue bill for each business participant is determined and sent to the terminal devices of each business participant for visualization.

[0172] The embodiments disclosed herein visualize the business revenue bill on the terminal devices of each business participant, enabling each business participant to conveniently view their own business revenue in real time, thereby achieving bill transparency and effectively improving the experience of each business participant.

[0173] In some optional embodiments, step 260, sending the business revenue data to the terminal devices corresponding to each business participant, may include:

[0174] Receive a bill viewing request from a terminal device; the bill viewing request includes the requester's identifier and the target date to be viewed; based on the bill viewing request, send the business revenue data corresponding to the requester's identifier and the target date to the terminal device corresponding to the requester's identifier.

[0175] The requester identifier can be pre-set identification information for each business participant, used to uniquely identify the requester, so as to generate a corresponding business revenue bill based on the requester's permissions. The target date to be viewed can be obtained by the relevant business participant by entering or selecting it on the terminal device.

[0176] In some optional embodiments, when relevant personnel from each business participant log in to the operation platform via their respective terminal devices to request to view business revenue bills, a pre-formatted business revenue bill can be generated from the business revenue data for the requested target date and sent to the requesting party's terminal device. Specifically, for each business participant, the business revenue bill related to that participant can be sent to that participant's terminal device. For example, for a second participant, its business revenue bill may not involve charging services, and when sending the business revenue bill for the target date to the second participant, the business revenue bill may not include bills related to charging services. The specific access permissions of each business participant to business revenue data can be determined through tripartite negotiation, and this disclosure embodiment does not impose any limitations.

[0177] In some optional embodiments, relevant personnel from any business participant can log in to the operations platform via their terminal device, select the target date to be viewed on the bill request interface, and trigger a bill viewing request. The requester identifier can be automatically obtained when the terminal device generates the request, or it can be entered or selected by the requester on the interface; the specific triggering method for the bill viewing request is not limited. Based on the bill viewing request, the operations platform sends the daily business revenue data corresponding to the requester identifier and the target date to the terminal device corresponding to the requester identifier, or generates a pre-formatted visualized business revenue bill based on the daily business revenue data and sends it to the terminal device corresponding to the requester identifier.

[0178] In some optional embodiments, after generating the daily business revenue bill for each business participant, the relevant daily business revenue bill for each business participant can be sent to the terminal device of each business participant in real time.

[0179] The embodiments disclosed herein provide each business participant with the function of viewing business revenue in real time on the desired date, enabling each business participant to conveniently view business revenue statements in real time, thereby achieving transparency in business revenue statements and further enhancing the experience of each business participant.

[0180] In some alternative embodiments, Figure 6 This is a flowchart illustrating a method for processing storage and charging station operation services provided in an exemplary embodiment of this disclosure. Figure 6 As shown, when a user (i.e., a charging user) needs to charge, they send a charging order to the operating platform. The operating platform provides a payment page for the user, who pays the electricity fee (i.e., charging fee) and service fee (i.e., electricity fee & service fee in the diagram). The electricity fee and service fee are deposited into the operating platform's account (or account). The operating platform records the user's charging order and, through real-time communication with the charging equipment, collects the charging amount during each time interval of the order. Based on each order's data, a daily charging business bill is generated (which may include the first business data of each day and / or the charging amount of each time interval of each day). During the user's charging process, the energy storage device can discharge to the charging equipment. In some time intervals, the energy storage device can also charge from the grid. The energy storage device's charge and discharge meter can measure the energy storage charge and discharge. The operating platform collects and records the energy storage charge and discharge amount to generate the daily energy storage charge and discharge bill (which may include the energy storage charge and discharge amount of each day and / or the second business data of each day). Then, a monthly profit-sharing statement (i.e., settlement statement) is generated based on the daily statements. The monthly profit-sharing statement includes the platform's charging revenue statement (i.e., the service fee revenue of the third-party participant in the charging business), the platform's energy storage revenue statement (i.e., the energy storage business revenue of the third-party participant), the charging revenue statement of the charging station operator (i.e., the charging fee revenue and service fee revenue of the first-party participant), the energy storage revenue statement of the charging station operator (i.e., the energy storage business revenue of the first-party participant), and the energy storage revenue statement of the investor (i.e., the energy storage business revenue of the second-party participant). After obtaining the monthly profit-sharing statement, settlement and payment can be made according to the statement details. The payment collection account in the figure is the operating platform account as an example. The operating platform account only needs to transfer the revenue of the charging station operator and the revenue of the investor to the charging station operator account and the investor account respectively. The remaining revenue is the platform operator's revenue.

[0181] In some alternative embodiments, Figure 7 This is a visual illustration of a daily charging service bill provided in an exemplary embodiment of this disclosure. Figure 7 As shown, the horizontal axis represents the date (1, 2, ... in the figure are used as examples, but in actual applications, the date can be other dates and representations), and the vertical axis represents the charging fee and service fee. Different fees can be displayed in different formats, such as different colors or other formats, without any specific limitations. In the figure, different shades of gray are used to represent them.

[0182] In some alternative embodiments, Figure 8 This is a visual illustration of a daily charge and discharge bill for an energy storage service provided in an exemplary embodiment of this disclosure. For example... Figure 8As shown, the horizontal axis represents the date, and the vertical axis represents the energy consumption. The graphical area displays the daily energy storage charging and discharging amounts side-by-side. In practical applications, the vertical axis can represent costs, i.e., the fees payable for energy storage charging and discharging each day, and is not limited to the amount of energy consumed.

[0183] The method for processing energy storage and charging station operation business provided in this disclosure, through real-time data collection and fusion, and refined electricity cost calculation, aligns the bills for energy storage and charging businesses in terms of time. By integrating the billing data from both businesses, combining multi-business linkage optimization, and clarifying revenue distribution through agreement terms, it automatically and efficiently determines the tripartite settlement bill, achieving online management of energy storage and charging businesses. This effectively improves the management efficiency of energy storage and charging station operation business and facilitates the application and promotion of energy storage in charging stations. Furthermore, online billing display achieves billing transparency, solving the problem of energy storage investors being unaware of revenue bills due to offline accounting and payment by the station operator, and avoiding the issue of no invoices for energy storage business transactions. This reduces operating costs and improves the level of intelligent management.

[0184] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information in this technical solution comply with relevant laws and regulations and do not violate public order and good morals. Furthermore, the collection and use of user personal information in this technical solution are conducted with the user's knowledge and authorization, and do not involve the illegal collection or use of user personal information.

[0185] The embodiments described above can be implemented individually or in any combination without conflict. The specific implementation can be set according to actual needs, and this disclosure does not limit them.

[0186] The processing method for any of the energy storage and charging station operation services provided in this disclosure can be executed by any suitable electronic device with data processing capabilities, including but not limited to: terminal devices and servers. Alternatively, the processing method for any of the energy storage and charging station operation services provided in this disclosure can be executed by a processor, such as by a processor executing any of the processing methods for energy storage and charging station operation services mentioned in this disclosure by calling corresponding instructions stored in memory. Further details will not be elaborated below.

[0187] Exemplary device

[0188] Figure 9 This is a schematic diagram of a processing apparatus for the operation of a storage and charging station according to an exemplary embodiment of this disclosure. The apparatus of this embodiment can be used to implement the corresponding method embodiments of this disclosure, and the apparatus of this embodiment can be installed in the operation platform equipment. Figure 9The apparatus shown may include: a first receiving module 51, a second receiving module 52, a first processing module 53, a second processing module 54, a third processing module 55, and a transmitting module 56.

[0189] The first receiving module 51 is used to receive user charging amount data from the charging device.

[0190] The second receiving module 52 is used to receive energy storage charging and discharging data from the energy storage device.

[0191] The first processing module 53 is used to respond to the current time meeting the first time condition, and determine the first service data corresponding to the charging service based on the user charging amount data within the first time period. The first service data includes the user charging fee within the first time period.

[0192] The second processing module 54 is used to determine the second business data corresponding to the energy storage business based on the energy storage charging and discharging data within the first time period. The second business data includes the energy storage charging fee and the energy storage discharging fee within the first time period.

[0193] The third processing module 55 is used to determine the business revenue data of each business participant in the first time period based on the first business data and the second business data; each business participant includes the first participant corresponding to the charging equipment, the second participant corresponding to the energy storage equipment, and the third participant corresponding to the operation platform equipment.

[0194] The sending module 56 is used to send business revenue data to the terminal devices corresponding to each business participant.

[0195] In some optional embodiments of this disclosure, in the above... Figure 9 Based on the embodiment shown, the user charging data within the first time period includes the charging amount corresponding to each user order within the first time period based on the first time granularity; the duration corresponding to the first time granularity is less than the duration of the first time period.

[0196] The first processing module 53 is specifically used to: obtain the electricity price based on the first time granularity within the first time period; and determine the first business data based on the charging amount based on the first time granularity corresponding to each user order within the first time period and the electricity price based on the first time granularity within the first time period.

[0197] In some optional embodiments, based on any of the above embodiments, the first processing module 53 is specifically used to: obtain the service fee corresponding to each user order within a first time period; determine the service fee corresponding to the charging service within the first time period based on the service fee corresponding to each user order within the first time period; and determine the first service data corresponding to the charging service based on the user charging volume data within the first time period and the service fee corresponding to the charging service within the first time period.

[0198] In some optional embodiments, based on any of the above embodiments, the energy storage charging and discharging data within the first time period includes the energy storage charging amount and energy storage discharging amount based on the first time granularity within the first time period; the duration corresponding to the first time granularity is less than the duration of the first time period.

[0199] The second processing module 54 is specifically used for: obtaining the electricity price based on the first time granularity within the first time period; determining the energy storage charging cost within the first time period based on the energy storage charging amount based on the first time granularity within the first time period and the electricity price based on the first time granularity within the first time period; and determining the energy storage discharging cost within the first time period based on the energy storage discharging amount based on the first time granularity within the first time period and the electricity price based on the first time granularity within the first time period.

[0200] In some optional embodiments, based on any of the above embodiments, the third processing module 55 is specifically used to: determine the first energy storage business revenue within the first time period based on the energy storage charging cost and energy storage discharging cost within the first time period; determine the second energy storage business revenue corresponding to each business participant in the energy storage business based on the first energy storage business revenue within the first time period and the first agreement ratio of each pre-configured business participant in the energy storage business; determine the first charging business revenue corresponding to each business participant in the charging business based on the first business data and the first energy storage business revenue; and determine the business revenue data of each business participant within the first time period based on the second energy storage business revenue and the first charging business revenue corresponding to each business participant.

[0201] In some optional embodiments, based on any of the above embodiments, the first business data includes user charging fees and service fees within a first time period. The third processing module 55 is specifically used for: determining the charging fee revenue of a designated business participant within the first time period based on the user charging fees and first energy storage business revenue in the first business data; determining the service fee revenue corresponding to each business participant based on the service fees in the first business data and the pre-configured second protocol ratio; determining the first charging business revenue corresponding to the designated business participant based on the charging fee revenue and service fee revenue of the designated business participant; and determining the first charging business revenue corresponding to other business participants based on the service fee revenue of other business participants; where other business participants are business participants other than the designated business participant.

[0202] Figure 10 This is a schematic diagram of the structure of a processing apparatus for the operation of a storage and charging station, provided in another exemplary embodiment of this disclosure.

[0203] In some optional embodiments, based on any of the above embodiments, the first time condition is the time condition for determining daily revenue; the duration of the first time period is one day. For example... Figure 10 As shown, the apparatus of this embodiment may further include a fourth processing module 61 and a fifth processing module 62.

[0204] The fourth processing module 61 is used to respond to the current time meeting the settlement time condition, and to determine the total revenue data of each business participant in the second time period based on the business revenue data of each business participant for each day in the second time period to be settled; the duration of the second time period is an integer multiple of the duration of the first time period.

[0205] The fifth processing module 62 is used for settlement processing based on the total revenue data.

[0206] In some optional embodiments, based on any of the above embodiments, the sending module 56 is specifically used for:

[0207] Based on the business revenue data, generate a business revenue bill in a preset format for each terminal device; send the business revenue bill in the preset format for each terminal device to the corresponding terminal device so that each terminal device can visualize the business revenue bill.

[0208] In some optional embodiments, based on any of the above embodiments, the sending module 56 is specifically used for:

[0209] Receive a bill viewing request from a terminal device; the bill viewing request includes the requester's identifier and the target date to be viewed; based on the bill viewing request, send the business revenue data corresponding to the requester's identifier and the target date to the terminal device corresponding to the requester's identifier.

[0210] In some optional embodiments, based on any of the above embodiments, the apparatus of this disclosure may further include a third receiving module, configured to receive a bill viewing request from a terminal device; the bill viewing request includes a requester identifier and a target date for viewing. The sending module 56 is specifically configured to, according to the bill viewing request, send the business revenue data corresponding to the requester identifier and the target date to the terminal device corresponding to the requester identifier.

[0211] The embodiments described above can be implemented individually or in any combination without conflict. The specific implementation can be set according to actual needs, and this disclosure does not limit them.

[0212] The beneficial technical effects corresponding to the exemplary embodiments of this device can be found in the corresponding beneficial technical effects of the exemplary method section above, and will not be repeated here.

[0213] This disclosure also provides a power storage and charging station operation system, including: charging equipment, energy storage equipment, and operation platform equipment. See also... Figure 1 .

[0214] The charging equipment is used to charge the batteries of users who are waiting to be charged.

[0215] The energy storage device is connected to both the grid equipment and the charging equipment to store electrical energy from the grid equipment and to provide electrical energy to the charging equipment.

[0216] The operation platform equipment communicates with the charging equipment and the energy storage equipment respectively, and is used to collect data from the charging equipment and the energy storage equipment, and to implement the processing method of the energy storage and charging station operation business provided in any of the above embodiments based on the collected data.

[0217] In some alternative embodiments, the energy storage device includes an energy storage charging meter, an energy storage discharging meter, and a local energy storage management system (i.e., a local energy management system, EMS). The meter may also be referred to as an electricity meter.

[0218] The energy storage charging meter is used to measure the amount of energy stored and charged from grid devices in each time interval; the time interval is an interval based on a first time granularity.

[0219] Energy storage discharge meters are used to measure the amount of discharge from an energy storage device to a charging device in each time interval.

[0220] The local energy storage management system is used to collect data from energy storage charging meters and energy storage discharging meters, and send them to the operation platform equipment.

[0221] In some alternative embodiments, the charging device includes a user charging meter for measuring the amount of charging done by each user in each time interval.

[0222] Energy storage devices are also used to monitor the charging status of charging equipment and control the charging parameters of charging equipment.

[0223] The specific functions of each part and their interactions in this system embodiment can be found in the foregoing embodiments, and will not be repeated here.

[0224] Exemplary electronic devices

[0225] Figure 11 This is a structural diagram of an electronic device provided in an embodiment of the present disclosure, including at least one processor 91 and a memory 92.

[0226] The processor 91 may be a central processing unit (CPU) or other form of processing unit with data processing and / or instruction execution capabilities, and may control other components in the electronic device 90 to perform desired functions.

[0227] The memory 92 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 91 may execute one or more computer program instructions to implement the methods and / or other desired functions of the various embodiments of this disclosure described above.

[0228] In one example, the electronic device 90 may also include an input device 93 and an output device 94, which are interconnected via a bus system and / or other forms of connection mechanism (not shown).

[0229] The input device 93 may also include, for example, a keyboard, mouse, touchscreen, microphone, various sensors, etc. Sensors may include, for example, image sensors (e.g., cameras, webcams), LiDAR, millimeter-wave radar, ultrasonic radar, positioning sensors, pressure sensors, air quality sensors, temperature sensors, etc. Image sensors, LiDAR, millimeter-wave radar, ultrasonic radar, etc., can be used for environmental perception, i.e., detecting moving and static objects in the surrounding environment. Moving and static objects may include, for example, static objects such as lane lines, curbs, arrows, signs, trees, and buildings, as well as dynamic objects such as surrounding vehicles, pedestrians, and cyclists. Positioning sensors are used to locate the mobile device (e.g., a bicycle, a robot, etc.) where the electronic device is located. Positioning sensors may include, for example, an Inertial Measurement Unit (IMU) and a Global Positioning System (GPS). Pressure sensors can be used to detect seat pressure. Temperature sensors can be used to detect the temperature inside the vehicle cabin. Air quality sensors can be used to detect the air quality inside the vehicle cabin.

[0230] The output device 94 can output various information to the outside, including, for example, a display, a speaker, a communication network and its connected remote output devices, etc.

[0231] Of course, for the sake of simplicity, Figure 11 Only some of the components of the electronic device 90 relevant to this disclosure are shown, omitting components such as buses, input / output interfaces, etc. In addition, the electronic device 90 may include any other suitable components depending on the specific application.

[0232] Exemplary computer program products and computer-readable storage media

[0233] In addition to the methods and apparatus described above, embodiments of this disclosure may also provide a computer program product, including computer program instructions that, when executed by a processor, cause the processor to perform the steps of the methods in the various embodiments of this disclosure described in the "Exemplary Methods" section above.

[0234] Computer program products can be written in any combination of one or more programming languages ​​to perform the operations of embodiments of this disclosure. These programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on a user's computing device, partially on a user's computing device, as a standalone software package, partially on a user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0235] Furthermore, embodiments of this disclosure may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps of the methods in the various embodiments of this disclosure described in the "Exemplary Methods" section above.

[0236] Computer-readable storage media may take the form of any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, but is not limited to, systems, apparatuses, or devices that are electrical, magnetic, optical, electromagnetic, infrared, or semiconductor, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0237] The basic principles of this disclosure have been described above with reference to specific embodiments. However, the advantages, benefits, and effects mentioned in this disclosure are merely examples and not limitations, and should not be considered as essential features of each embodiment of this disclosure. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the scope of this disclosure to the necessity of employing the aforementioned specific details for implementation.

[0238] Various modifications and variations can be made to this disclosure without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this disclosure and their equivalents, this disclosure is also intended to include such modifications and variations.

Claims

1. A method for processing storage and charging station operation business, applied to operation platform equipment, the method comprising: Receive user charging data from charging devices; Receive energy storage charging and discharging data from energy storage devices; In response to the current time meeting the first time condition, based on the user charging data within the first time period, the first service data corresponding to the charging service is determined, and the first service data includes the user charging fee within the first time period. Based on the energy storage charging and discharging data within the first time period, the second business data corresponding to the energy storage business is determined. The second business data includes the energy storage charging fee and the energy storage discharging fee within the first time period. Based on the first business data and the second business data, the business revenue data of each business participant in the first time period is determined; each business participant includes the first participant corresponding to the charging equipment, the second participant corresponding to the energy storage equipment, and the third participant corresponding to the operation platform equipment. The business revenue data is sent to the terminal devices corresponding to each of the business participants.

2. The method of claim 1, wherein, The user charging data within the first time period includes the charging amount based on the first time granularity for each user order within the first time period; the duration corresponding to the first time granularity is less than the duration of the first time period. The determination of the first service data corresponding to the charging service based on user charging volume data within the first time period includes: Obtain the electricity price based on the first time granularity within the first time period; The first business data is determined based on the charging amount corresponding to each user order within the first time period and the electricity price within the first time period based on the first time granularity.

3. The method of claim 1, wherein, The method further includes: Obtain the service fee corresponding to each user order within the first time period; Based on the service fee corresponding to each user order within the first time period, determine the service fee corresponding to the charging service within the first time period. The determination of the first service data corresponding to the charging service based on user charging volume data within the first time period includes: Based on the user charging volume data within the first time period and the service fees corresponding to the charging service within the first time period, the first service data corresponding to the charging service is determined.

4. The method of claim 1, wherein, The energy storage charging and discharging data within the first time period includes the energy storage charging amount and energy storage discharging amount based on the first time granularity within the first time period; the duration corresponding to the first time granularity is less than the duration of the first time period. The step of determining the second business data corresponding to the energy storage business based on the energy storage charging and discharging data within the first time period includes: Obtain the electricity price based on the first time granularity within the first time period; Based on the energy storage charging amount based on the first time granularity during the first time period and the electricity price based on the first time granularity during the first time period, the energy storage charging cost during the first time period is determined. Based on the energy storage discharge amount at the first time granularity within the first time period and the electricity price at the first time granularity within the first time period, the energy storage discharge cost within the first time period is determined.

5. The method of claim 1, wherein, The step of determining the business revenue data of each business participant within the first time period based on the first business data and the second business data includes: Based on the energy storage charging cost and the energy storage discharging cost during the first time period, determine the first energy storage business revenue during the first time period. Based on the revenue from the first energy storage business during the first time period and the first agreement ratio of each business participant in the pre-configured energy storage business, the second energy storage business revenue corresponding to each business participant in the energy storage business is determined. Based on the first business data and the first energy storage business revenue, determine the first charging business revenue corresponding to each business participant in the charging business. Based on the revenue from the second energy storage business and the revenue from the first charging business corresponding to each business participant, the business revenue data of each business participant in the first time period is determined.

6. The method of claim 5, wherein, The first business data includes user charging fees and service fees during the first time period; The step of determining the first charging business revenue corresponding to each business participant based on the first business data and the first energy storage business revenue includes: Based on the user charging fees in the first business data and the revenue from the first energy storage business, determine the charging fee revenue of a designated business participant among the business participants during the first time period. Based on the service fees in the first business data and the pre-configured second agreement ratio, the service fee revenue corresponding to each business participant is determined. Based on the charging fee revenue and service fee revenue of the designated business participant, determine the first charging service revenue corresponding to the designated business participant; The revenue from the first charging service corresponding to the other business participants is determined based on the service fee revenue corresponding to the other business participants; the other business participants are business participants other than the designated business participant among the various business participants.

7. The method of any one of claims 1-6, wherein, The first time condition is the time condition for determining daily revenue; the duration of the first time period is 1 day; After determining the business revenue data of each business participant within the first time period based on the first business data and the second business data, the method further includes: In response to the current time meeting the settlement time condition, based on the business revenue data of each business participant for each day in the second time period to be settled, the total revenue data of each business participant in the second time period is determined; the duration of the second time period is an integer multiple of the duration of the first time period. Settlement processing is performed based on the total revenue data.

8. The method of any one of claims 1-6, wherein, The step of sending the business revenue data to the terminal devices corresponding to each of the business participants includes: Based on the business revenue data, generate a business revenue bill in a preset format corresponding to each of the terminal devices; Each terminal device sends a pre-formatted business revenue bill to its corresponding terminal device, so that each terminal device can visualize the business revenue bill.

9. The method of any one of claims 1-6, wherein, The step of sending the business revenue data to the terminal devices corresponding to each of the business participants includes: Receive a bill viewing request from a terminal device; the bill viewing request includes the requester's identifier and the target date to be viewed; Based on the bill viewing request, the business revenue data corresponding to the requester identifier and the target date is sent to the terminal device corresponding to the requester identifier.

10. A processing device for storage and charging station operation business, applied to operation platform equipment, comprising: The first receiving module is used to receive user charging data from the charging device; The second receiving module is used to receive energy storage charging and discharging data from the energy storage device. The first processing module is used to respond to the current time meeting the first time condition, and determine the first service data corresponding to the charging service based on the user charging amount data within the first time period. The first service data includes the user charging fee within the first time period. The second processing module is used to determine the second business data corresponding to the energy storage business based on the energy storage charging and discharging data within the first time period. The second business data includes the energy storage charging fee and the energy storage discharging fee within the first time period. The third processing module is used to determine the business revenue data of each business participant in the first time period based on the first business data and the second business data; each business participant includes the first participant corresponding to the charging equipment, the second participant corresponding to the energy storage equipment, and the third participant corresponding to the operation platform equipment. The sending module is used to send the business revenue data to the terminal devices corresponding to each of the business participants.

11. An electronic device, the electronic device comprising: processor; Memory used to store the processor's executable instructions; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1-9. or, The electronic device includes the apparatus of claim 10.

12. A storage and charging station operation system, comprising: Charging equipment is used to charge the batteries of users who are waiting to be charged. An energy storage device is connected to both the power grid equipment and the charging equipment, and is used to store electrical energy from the power grid equipment and to provide electrical energy to the charging equipment. An operating platform device communicates with the charging device and the energy storage device respectively, for collecting data from the charging device and the energy storage device, and for implementing the method described in any one of claims 1-9 based on the collected data.

13. The system of claim 12, wherein, The energy storage device includes an energy storage charging meter, an energy storage discharging meter, and a local energy storage management system. The energy storage charging meter is used to measure the amount of energy stored and charged from the grid equipment in the energy storage device in each time interval; the time interval is an interval based on a first time granularity. The energy storage discharge meter is used to measure the amount of discharge from the energy storage device to the charging device in each time interval. The local energy storage management system is used to collect data from the energy storage charging meter and the energy storage discharging meter, and send it to the operation platform equipment.

14. The system of claim 12, wherein, The charging equipment includes a user charging meter, used to measure the amount of charging by each user in each time interval. The energy storage device is also used to monitor the charging status of the charging device and control the charging parameters of the charging device.

15. A computer-readable storage medium storing a computer program for performing the method according to any one of claims 1-9.

16. A computer program product, which, when instructions in the computer program product are executed by a processor, performs the method described in any one of claims 1-9 of this disclosure.

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