Method for determining carbon emission reduction, electronic equipment and computer storage medium

Abstract

The embodiment of the invention provides a method for determining carbon emission reduction, electronic equipment and a computer storage medium. The method comprises the following steps: acquiring charging data of a vehicle from a charging pile; determining the electric carbon emission of the vehicle based on the charging data, the demand side response time period and a carbon emission factor; according to the effective charging amount, the fuel carbon emission of the fuel vehicle under the same mileage of the vehicle is determined; and determining the carbon emission reduction of the vehicle based on the electric carbon emission and the fuel carbon emission. According to the method, the carbon emission reduction amount can be accurately determined under the background of demand side response, and supply and demand of electric power can be balanced according to the participation valley filling demand or peak clipping demand of the electric vehicle, so that stable operation of an electric power system can be ensured based on the method.

Description

Technical Field

[0001] Embodiments of the present disclosure relate to the field of vehicle charging, and more particularly, to a method, an electronic device, and a computer storage medium for determining carbon emission reduction amounts. Background Art

[0002] As an environmentally friendly and sustainable means of transportation, electric vehicles have the potential to reduce carbon emissions. They are powered by batteries instead of traditional fuels, thus reducing direct tailpipe emissions. However, to comprehensively evaluate the carbon emission reduction amounts of electric vehicles, the carbon emissions throughout the entire life cycle need to be considered. In the case of demand response, there are problems such as the dynamic and non-linear nature of the charging amount, the influence of user behavior, and the inaccuracy of the calculation method for electric vehicles to accurately determine the charging amount and convert it into carbon emission reduction amounts. Summary of the Invention

[0003] The objective of the present disclosure is to provide a method, an electronic device, and a computer storage medium for determining carbon emission reduction amounts to at least partially solve the above problems and / or other potential problems existing in traditional electric vehicles.

[0004] The first aspect of the present disclosure provides a method for determining carbon emission reduction amounts. The method includes: obtaining charging data of a vehicle from a charging pile; determining the electricity carbon emission amount of the vehicle based on the charging data, the demand response time period, and the carbon emission factor; determining the fuel carbon emission amount of a fuel vehicle with the same mileage as the vehicle based on the effective charging amount; and determining the carbon emission reduction amount of the vehicle based on the electricity carbon emission amount and the fuel carbon emission amount.

[0005] In an embodiment according to the present disclosure, the method obtains the charging data of the vehicle from the charging pile, further determines the electricity carbon emission amount of the vehicle and the fuel carbon emission amount of a fuel vehicle with the same mileage as the vehicle based on the charging data, the demand response time period, and the carbon emission factor, and finally determines the carbon emission reduction amount of the vehicle based on the electricity carbon emission amount and the fuel carbon emission amount. Thus, in the context of demand response, the participation of electric vehicles in valley filling demand or peak shaving demand can balance the power supply and demand, thereby promoting the realization of the "dual carbon" goal. Through this method, it is possible to accurately calculate the charging amount of an electric vehicle during the response time period of demand response during the charging process and convert it into carbon emission reduction amounts.

[0006] In some embodiments, determining the electricity carbon emission amount includes: determining an effective charging time period based on the charging data and the demand response time period; determining an effective charging amount based on the effective charging time period and the charging data; and determining the electricity carbon emission amount based on the effective charging amount and the carbon emission factor.

[0007] In some embodiments, determining the effective charging time period includes: determining, as the effective charging time period, the time period in the charging time period in the charging data that overlaps with the demand side response time period.

[0008] In some embodiments, determining the effective charging amount includes: determining, as the effective charging amount, the electric quantity corresponding to the effective charging time period in the charging data.

[0009] In some embodiments, determining the fuel carbon emission amount includes: determining the vehicle equivalent mileage based on the effective charging amount; and determining the fuel carbon emission amount based on the vehicle equivalent mileage.

[0010] A second aspect of the present disclosure provides an electronic device. The electronic device includes: at least one processing unit; and at least one memory coupled to the at least one processing unit and storing machine-executable instructions that, when executed by the at least one processing unit, cause the device to perform actions, the actions including: obtaining charging data of a vehicle from a charging pile; determining the electric carbon emission amount of the vehicle based on the charging data, the demand side response time period, and the carbon emission factor; determining the fuel carbon emission amount of a fuel vehicle at the same mileage of the vehicle according to the effective charging amount; and determining the carbon emission reduction amount of the vehicle based on the electric carbon emission amount and the fuel carbon emission amount.

[0011] In some embodiments, determining the electric carbon emission amount includes: determining the effective charging time period based on the charging data and the demand side response time period; determining the effective charging amount based on the effective charging time period and the charging data; and determining the electric carbon emission amount based on the effective charging amount and the carbon emission factor.

[0012] In some embodiments, determining the effective charging time period includes: determining, as the effective charging time period, the time period in the charging time period in the charging data that overlaps with the demand side response time period.

[0013] In some embodiments, determining the effective charging amount includes: determining, as the effective charging amount, the electric quantity corresponding to the effective charging time period in the charging data.

[0014] In some embodiments, determining the fuel carbon emission amount includes: determining the vehicle equivalent mileage based on the effective charging amount; and determining the fuel carbon emission amount based on the vehicle equivalent mileage.

[0015] A third aspect of the present disclosure provides a computer storage medium. The computer storage medium includes a computer program product stored thereon including machine-executable instructions that, when executed, cause the machine to perform the steps of the method of the first aspect of the present disclosure. Description of the Drawings

[0016] The above and other objects, features, and advantages of the present disclosure will become more apparent by describing the exemplary embodiments of the present disclosure in more detail with reference to the accompanying drawings, in which, in the exemplary embodiments of the present disclosure, the same reference numerals generally represent the same components.

[0017] Figure 1 A schematic diagram of an Internet of Things architecture system for charging an electric vehicle is shown;

[0018] Figure 2 A flowchart of a method for determining carbon emission reduction according to an embodiment of the present disclosure is shown;

[0019] Figure 3 A schematic diagram of obtaining effective charging time and real-time power according to an embodiment of the present disclosure is shown;

[0020] Figure 4 A flowchart of a method for determining carbon emission reduction according to an embodiment of the present disclosure is shown; and

[0021] Figure 5 A schematic block diagram of an electronic device suitable for implementing the embodiments of the present disclosure is shown. Detailed Description of the Invention

[0022] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Instead, these embodiments are provided to more thoroughly and completely understand the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of the present disclosure.

[0023] In the description of the embodiments of the present disclosure, the term "including" and its like terms should be understood as an open inclusion, that is, "including but not limited to". The term "based on" should be understood as "at least partially based on". The term "one embodiment" or "the embodiment" should be understood as "at least one embodiment". The terms "first", "second", etc. may refer to different or the same objects. There may also be other explicit and implicit definitions hereinafter.

[0024] The principles of the present disclosure will be described below with reference to several exemplary embodiments shown in the drawings. Although the preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the description of these embodiments is only for enabling those skilled in the art to better understand and then implement the present disclosure, and is not intended to limit the scope of the present disclosure in any way.

[0025] In addition, the term "responsive to" as used herein refers to a state in which a corresponding event occurs or a condition is satisfied. It will be understood that the timing of the subsequent action to be performed responsive to the event or condition and the time when the event occurs or the condition is satisfied may not necessarily be strongly correlated. For example, in some cases, the subsequent action may be immediately performed when the event occurs or the condition is satisfied; while in other cases, the subsequent action may be performed after a period of time has elapsed since the event occurs or the condition is satisfied.

[0026] Embodiments of the present disclosure may involve user data, data acquisition and / or use, etc. All of these aspects comply with the corresponding laws, regulations and related provisions. In the embodiments of the present disclosure, the collection, acquisition, processing, processing, forwarding, use, etc. of all data are carried out on the premise that the user is aware and confirms. Accordingly, when implementing the embodiments of the present disclosure, the types, usage scopes, usage scenarios, etc. of the data or information that may be involved should be informed to the user and the user's authorization should be obtained in an appropriate manner according to the relevant laws and regulations. The specific informing and / or authorization methods may vary according to the actual situation and application scenarios, and the scope of the present disclosure is not limited in this regard.

[0027] Figure 1 A schematic diagram of the power Internet of Things architecture system for charging an electric vehicle is shown. Figure 1 The ubiquitous power Internet of Things architecture system for the distribution network construction of the charging pile 110 shown includes a four-layer structure of a perception layer, a network layer, a platform layer, and an application layer. Through the perception layer and the network layer, information such as the geographical location of the charging pile 110 and the vehicle charging demand can be obtained in real time, and the platform layer and the application layer use big data methods to analyze and process the real-time shared information, so as to manage the vehicle charging demand in real time. The perception layer, that is, the data collection layer, generally refers to collecting user data through the charging pile 110. The network layer, that is, the network transmission 120, can adopt wired transmission, wireless transmission or Bluetooth transmission, which is not limited in the present disclosure, and is used to transmit user data. The platform layer, that is, the data center layer, generally stores data, analyzes data, etc. using the server 130 used by the power system, and is used to process the data from the network layer. The application layer, that is, the client layer, generally refers to the terminal 140, which can be a user or a device. This is not limited in the present disclosure and is used to receive information from the platform layer. The present disclosure transmits the data of the perception layer to the platform layer for processing through the network layer and then sends it to the terminal 140.

[0028] The perception layer is generally implemented by using the charging piles of the charging pile 110 to charge the vehicle. However, it should be understood that according to the solution of the embodiments of the present disclosure, the charging pile can charge the vehicle by wire, and can also charge the vehicle wirelessly (for example, using an electromagnetic field). In this article, the idea of the present disclosure will be mainly described by taking the example of charging the vehicle by wire. It should be understood that the same is true for the case of charging by other methods, and the present disclosure does not limit this, and will not be described separately hereinafter.

[0029] Each charging pile generally includes multiple (for example, two) charging guns 1101. The plug part of the charging gun 1101 is used to insert into the jack of the electric vehicle to connect the electrical connection between the vehicle's battery and the charging pile. During vehicle charging, communication will be carried out between the vehicle and the charging pile in the form of messages. For example, the vehicle can send the required demand power to the charging pile according to its own condition, and the charging pile can charge the vehicle's battery according to factors such as the demand power and its own power output situation. The message communication between the vehicle and the charging pile is usually carried out at a predetermined time interval.

[0030] In addition, the charging pile can also transmit the message information to the platform layer through the network layer regularly (for example, at an interval of 30s or any other appropriate interval) after sorting or without sorting, for the server 130 in the platform layer to analyze and use. These message data reported to the server 130 usually conform to certain specification standards, and at least include the charging power, charging current, charging voltage of each charging gun 1101, the demand power, demand voltage, demand current reported by the vehicle, as well as the charging vehicle information, charging amount, charging time, charging date and other data.

[0031] The data transmitted to the platform layer is calculated and analyzed, combined with the actual charging situation of the charging pile 110, that is, the peak discharge and valley charging situations as described above, and on the premise of considering the electricity price, the charging demand of the vehicle is responded to, and an instruction is sent to the application layer, that is, the user of the charging vehicle that meets the response demand receives relevant information suitable for charging and performs the charging behavior. In the context of demand-side response, users will temporarily change their electricity consumption behavior according to prices or incentives to achieve the purpose of promoting the balance of power supply and demand, ensuring the stable operation of the power grid and suppressing the rise of electricity prices.

[0032] The method for managing the charging demand of the vehicle according to the embodiments of the present disclosure can be executed by the electronic device in the platform layer mentioned above, so as to analyze the message data reported by the charging pile 110 to the server 130 (that is, the platform layer mentioned above) to determine the situation of the charging pile 110 responding to the charging demand (such as the charge and discharge situations during peak and valley times mentioned above), and finally, according to these operating conditions, guide the user to efficiently achieve vehicle charging.

[0033] The demand-side response mentioned in this article refers to the demand response in the power system (Demand Response, abbreviated as DR). When the power market price significantly increases (decreases) or there are risks to the security and reliability of the power system, power users temporarily change their electricity consumption behaviors according to price or incentive measures, reducing electricity consumption (peak shaving demand-side response) / increasing electricity consumption (valley filling demand-side response), so as to promote the balance between power supply and demand, ensure the stable operation of the power grid, and suppress the rise of electricity prices. Simply put, the demand-side response is that users respond to the call of the power system and temporarily adjust their electricity consumption (including both reduction and increase) in a planned way, so as to promote the stability of the power system. The response time period mentioned in this article is the time period when the power grid conducts demand-side response. Non-response time period: The time period when users do not participate in demand-side response. The response time period is generally when demand-side response is carried out during a specific time period within the response time period, and this time period is the response time period.

[0034] The above describes an example composition of the power Internet of Things architecture system. However, it should be understood that Figure 1 The power Internet of Things architecture system shown is only exemplary and is not intended to impose any limitations. The embodiments of the present disclosure can be applied to power Internet of Things architecture systems of any composition and structure.

[0035] By determining the charging amount and converting it into carbon emission reduction, electric vehicles can quantify their positive impact on the environment. Compared with traditional fuel vehicles, electric vehicles reduce exhaust emissions during use because they use electric energy instead of fuel. By accurately calculating the carbon emission reduction, the environmental advantages of electric vehicles can be measured, including reducing the emissions of harmful substances such as carbon dioxide, nitrogen oxides, and particulate matter. However, in the context of demand-side response, it becomes more complex and difficult to obtain the carbon emission reduction of electric vehicles, and it cannot be accurately calculated.

[0036] Furthermore, the response time period of demand-side response often overlaps with the charging time period, which makes it more difficult to accurately calculate the charging amount and convert it into carbon emission reduction during the response time period. Since the charging behavior may start or end before or after the demand-side response time period, it is impossible to accurately delimit the time range of the charging behavior. This results in the calculation result may include charging behaviors that are irrelevant to the demand-side response, thus affecting the accuracy of obtaining the effective charging amount.

[0037] Currently, the total electricity consumption during the charging process is directly determined and used for converting carbon emission reduction. Since the electricity consumption change during the charging process is not linear, it cannot be simply converted by the time ratio, and thus the charging load of the electric vehicle within the response time period cannot be accurately evaluated. In addition, the total electricity consumption during the charging process is determined by accumulating the electricity consumption in different time periods during the charging process and used for converting carbon emission reduction. Since the time interval is too large (for example, the time interval is 5 minutes), the electricity consumption change within each time period cannot be accurately obtained, which affects the accurate calculation of the electricity consumption, and thus the electricity consumption cannot be accurately obtained and converted into carbon emission reduction, which also affects the accuracy of the incentive for users.

[0038] It should be noted hereinafter that the carbon emission factor of grid power generation is an indicator used to calculate the greenhouse gas emissions generated by using one degree of electricity. It represents the carbon emissions of the electricity generated by the grid using different energy sources. By calculating the carbon emission factor of grid power generation, the carbon emissions generated by using one degree of electricity can be estimated. The carbon emission reduction refers to the reduction of carbon emissions of a project compared with the baseline scenario. For the charging of electric vehicles, the carbon emission reduction refers to the difference between the carbon emissions of electricity (i.e., the carbon emissions of grid power generation) and the carbon emissions of fuel when the electric vehicle travels a unit mileage. By comparing the electric energy used for charging the electric vehicle and the fuel consumed by the fuel vehicle during driving, the carbon emission reduction of the electric vehicle can be calculated.

[0039] To solve or at least partially solve the above problems or other potential problems existing in the traditional acquisition of carbon emission reduction, the embodiments of the present disclosure provide a method for determining carbon emission reduction. By obtaining the charging data of the vehicle from the charging pile, further determining the carbon emissions of electricity of the vehicle and the carbon emissions of fuel of the fuel vehicle with the same mileage as the vehicle based on the charging data, the demand-side response time period, and the carbon emission factor, and finally determining the carbon emission reduction of the vehicle based on the carbon emissions of electricity and the carbon emissions of fuel. In this way, in the context of demand-side response of electric vehicles, the participation of electric vehicles in valley filling demand or peak shaving demand can balance the power supply and demand, thus promoting the realization of the "dual carbon" goal. Therefore, during the charging process of electric vehicles, the charging amount of electric vehicles within the response time period of demand-side response can be accurately calculated and converted into carbon emission reduction.

[0040] Figure 2The flowchart shows a method 200 for determining carbon emission reduction according to an embodiment of the present disclosure. In the embodiments of the present disclosure, the electric carbon emissions of electric vehicles are evaluated by obtaining the charging data of the vehicles from the charging piles. The charging pile records the start time, end time, and charging amount of each charging. At the same time, it is necessary to determine the demand response time period, that is, the time period when the grid demand is high. The demand response time period can be obtained and determined from the data regularly released by the State Grid. By comparing the charging time period in the charging data with the demand response time period, the effective time period when the charging time period of the charging behavior overlaps with the demand response time period is determined. Thus, the electric carbon emissions of the vehicle during the demand response time period can be determined according to the charging data and the carbon emission factor.

[0041] Specifically, in block 210, according to the time period of effective charging, the platform layer obtains the corresponding charging data from the server 130 and calculates the effective charging amount. Refer to Figure 3 , for example, the charging data of the response time period of the charging pile 110 mentioned above is reported to the server 130 of the power system in units of the user's vehicle, and the process of storing in the server 130 can be regarded as the process of collecting charging data. The method according to the embodiments of the present disclosure can obtain the message data reported by the charging pile 110 from the server 130 in various appropriate ways, and this is not limited. In addition, in some embodiments, the process of collecting charging data can also refer to the process in which the electronic device obtains the already stored data from the memory for analysis.

[0042] Furthermore, the charging pile can report relevant message data to the platform layer at intervals of 30 seconds. For example, the message data includes the data of the electricity meter of the charging pile. After being parsed by the platform layer, these message data are stored in the server 130 for the platform layer to query and use. In order to ensure the integrity and timeliness of the reported data, the platform layer needs to perform certain data processing logics, which are not specifically limited in the present disclosure. For example, the platform layer can obtain the real-time charging data in the server 130.

[0043] In some embodiments, the effective charging time period is determined according to the charging data and the demand response time period. Therefore, the charging time period in the charging data is compared with the demand response time period to find the overlapping time period, which will be regarded as the effective charging time period. In this way, it can be determined that the vehicle is charged during the demand response time period.

[0044] In some embodiments, based on the charging data corresponding to the effective charging time period, the amount of electricity actually charged into the battery of the electric vehicle during the response time period can be obtained. This value reflects the effective charging amount of the vehicle during the demand-side response time period. The electricity-carbon emissions are determined by the effective charging amount and the carbon emission factor. Multiplying the effective charging amount by the carbon emission factor can obtain the electricity-carbon emissions of the vehicle during the demand-side response time period.

[0045] In some embodiments, as mentioned above, the platform layer can determine the demand response time period based on the data released by the power grid. Specifically, the platform layer includes demand-side response management, effective electricity calculation, user incentive, and electricity-carbon emissions calculation. For example, the platform layer determines a certain time period A as the demand response time period according to the data released by the power grid. For example, during this time period, valley filling response is required, and the electric vehicle charges on the charging pile and consumes electricity to respond to the power valley filling demand.

[0046] As Figure 3 shown, the range of time period A is from the start of response A to the end of response A. As Figure 3 shown, there is an intersection in time between the charging time period and the demand response time period A. It can be understood that the start time of the charging period is before the start of response A. The platform layer can determine this intersection as the effective charging time period of the electric vehicle during the demand-side response. For another example, the platform layer determines that time period B is also the demand response time period. During this time period, peak shaving response is required, and the charging of the electric vehicle on the charging pile is reduced, and the electricity consumption is decreased to respond to the power peak shaving demand. The range of time period B is from the start of response B to the end of response B. As Figure 3 shown, there is an intersection in time between the charging time period and the demand-side response time period B. It can be understood that the start time of the charging period is before the start of response B. The platform layer can determine this intersection as the effective charging time period of the electric vehicle during the demand-side response.

[0047] According to the effective charging time period, the platform layer obtains the corresponding charging data from server 130 and calculates the effective charging amount. That is,

[0048] Q ev = f(T eff ) (1)

[0049] where Q ev is the effective charging amount of the demand-side response of the electric vehicle, f(T eff ) is the electricity calculation function, and T eff is the effective charging time period.

[0050] Through the above calculations, the platform layer can accurately determine the effective charging amount of electric vehicles in demand response, thereby realizing the monitoring and management of charging behaviors to ensure the accuracy and timeliness of charging data, providing valuable information for the power system to better plan and manage the grid load.

[0051] See Figure 2 , and the effective charging amount is calculated through Equation (1). Continuing at block 220, calculate the electricity-related carbon emissions generated due to charging, i.e.,

[0052] EP ev =Q ev ×EF prov ×(1 + α) (2)

[0053] where EP ev represents the electricity-related carbon emissions generated by the charging of electric vehicles; EF prov represents the carbon emission factors of each region; α is the loss factor of power transmission, and the loss factor can be defaulted to 12%, and the present disclosure does not make specific limitations thereto and can be fine-tuned; EF prov can refer to the results of the regional grid baseline emission factors of emission reduction projects, and the present disclosure does not make specific limitations thereto. Further, the carbon emission factor is an index that measures the carbon emissions generated per unit of electric energy. The carbon emission factors of different regions and power grids are different, depending on the composition of the power source. See Table 1:

[0054]

[0055] In the embodiments of the present disclosure, in order to determine the fuel-related carbon emissions of a fuel vehicle at the same mileage of an electric vehicle, the effective charging amount of the electric vehicle is converted into an equivalent mileage. This equivalent mileage can represent the distance that the electric vehicle can travel under the effective charging amount. Then, the fuel-related carbon emissions of the fuel vehicle at the same mileage can be calculated using the fuel efficiency of the fuel vehicle and the carbon content of the fuel. Further, by comparing the electricity-related carbon emissions and the fuel-related carbon emissions, the carbon emission reduction amount of the electric vehicle can be determined. In this way, through the charging data, the demand response time period, the carbon emission factor, and the fuel-related carbon emissions, the electricity-related carbon emissions and the carbon emission reduction amount of the electric vehicle can be calculated, thereby providing strong support for evaluating the environmental benefits of electric vehicles in terms of carbon emission reduction.

[0056] Return to see Figure 2 , and continue at block 230. Specifically, calculate the fuel-related carbon emissions generated by the fuel vehicle at the equivalent electricity mileage of the vehicle:

[0057] EP f =Q ev / E ave ×F (3)

[0058] Among them, EP f represents the fuel carbon emissions generated by fuel vehicles, and E ave represents the power consumption per unit mileage of electric vehicles, and F is the fuel carbon emissions generated per unit mileage of fuel vehicles (for example, the average value of most vehicle models can be taken).

[0059] See Figure 2 , and continue in box 240, corresponding to the carbon emission reduction amount EP generated by the electric vehicle during the demand response period r is:[[]]

[0060] EP r = EP f - EP ev (4)

[0061] As can be seen from the above description, the message information uploaded by the charging pile about every 30 seconds can be parsed, and the electricity meter information therein can be extracted. For each charging behavior, if the charging time is completely within the demand response period, the total electricity consumption of this charging can be directly obtained. If the charging time spans the demand response period, the effective charging time period can be intercepted. Through the effective time period and the stored charging data, the effective charging amount can be accurately calculated, and the accuracy can be controlled within about 30 seconds.

[0062] In addition, according to the effective charging amount and the carbon emission factor of grid power generation, the carbon emissions corresponding to the effective charging amount can be calculated. By multiplying the effective charging amount by the carbon emission factor of grid power generation, the carbon emissions of electricity corresponding to the effective charging amount can be obtained. Finally, the effective charging amount is converted into the carbon emissions of the vehicle equivalent mileage. By calculating the vehicle equivalent mileage corresponding to the effective charging amount, that is, the distance that the electric vehicle can travel under the effective charging amount. Then, this equivalent mileage is converted into the carbon emissions generated by a fuel vehicle for the same mileage. Through the above steps, the charging carbon emission reduction amount of the electric vehicle during the demand response period can be accurately calculated. This value is the difference between the carbon emissions corresponding to the effective charging amount and the carbon emissions generated by the fuel vehicle. Therefore, this solution can ensure the accuracy of electricity metering and carbon emission reduction amount conversion, and provide reliable data support for evaluating the environmental benefits of electric vehicles in demand response.

[0063] Figure 4 FIG. shows a flowchart of a method 400 for determining carbon emission reduction according to an embodiment of the present disclosure. In some embodiments, the method 400 can be implemented by a processor of a server 130 or a platform communicating with the charging pile 110, or a control system of the charging pile 110 itself, or other appropriate devices. For the sake of easy understanding, the specific examples, numbers or values mentioned in the following description are only exemplary and do not limit the protection scope of the present disclosure.

[0064] Such asFigure 4 As shown, at block 410, charging data of the vehicle is obtained from the charging pile. Next, at block 420, the electric carbon emission amount of the vehicle is determined based on the charging data, the demand response time period, and the carbon emission factor.

[0065] At block 430, the fuel carbon emission amount of a fuel vehicle for the same mileage of the vehicle is determined according to the effective charging amount. Finally, at block 440, the carbon emission reduction amount of the vehicle is determined based on the electric carbon emission amount and the fuel carbon emission amount.

[0066] In some embodiments, the processor determines the electric carbon emission amount including: determining an effective charging time period based on the charging data and the demand response time period; determining an effective charging amount based on the effective charging time period and the charging data; and determining the electric carbon emission amount based on the effective charging amount and the carbon emission factor.

[0067] In some embodiments, the processor determines the effective charging time period including: determining the time period overlapping with the demand response time period in the charging time period in the charging data as the effective charging time period.

[0068] In some embodiments, the processor determines the effective charging amount including: determining the electric quantity corresponding to the effective charging time period in the charging data as the effective charging amount.

[0069] In some embodiments, the processor determines the fuel carbon emission amount including: determining the equivalent mileage of the vehicle based on the effective charging amount; and determining the fuel carbon emission amount based on the equivalent mileage of the vehicle.

[0070] Figure 5 A schematic block diagram of an electronic device 500 suitable for implementing embodiments of the present disclosure is shown. The electronic device 500 may be the server 130 communicating with the charging pile 110 mentioned above, or the control system of the charging pile 110 itself, or other suitable devices. As Figure 5 shown, the electronic device 500 includes at least one processing unit and at least one memory. The at least one processing unit may employ a central processing unit (CPU) 501, which may execute various appropriate actions and processes according to computer program instructions stored in the read-only memory (ROM) 502 or computer program instructions loaded from the storage unit into the random access memory (RAM) 503. In the RAM 503, various programs and data required for device operation may also be stored. The CPU 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. The input / output (I / O) interface 505 is also connected to the bus 504.

[0071] Multiple components in the electronic device 500 are connected to the I / O interface 505, including: an input unit 506, such as a touch screen, buttons, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a magnetic disk, an optical disc, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the electronic device 500 to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks.

[0072] Each of the processes and operations described above, such as the processes mentioned previously, may be executed by the processing unit 501. For example, in some embodiments, the processes 410, 420, 430, and 440 may be implemented as computer software programs that are tangibly embodied in a machine-readable medium, such as the storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed onto the electronic device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the CPU 501, one or more actions of the processes 410, 420, and 430 described above may be performed.

[0073] Embodiments of the present disclosure relate to methods, electronic devices, and / or computer program products. The computer program product may include a computer-readable storage medium having thereon computer-readable program instructions for performing various aspects of the present disclosure.

[0074] A computer-readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. A computer-readable storage medium may be, for example (but is not limited to), an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disc (DVD), a memory stick, a floppy disk, a mechanically encoded device, such as a punched card or raised structures in grooves having instructions stored thereon, and any suitable combination of the foregoing. The computer-readable storage medium used herein is not construed as being a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., an optical pulse through an optical fiber cable), or an electrical signal transmitted through a wire.

[0075] The computer-readable program instructions described herein can be downloaded to various computing / processing devices from a computer-readable storage medium or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing / processing device.

[0076] The computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state-setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server 130. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider). In some embodiments, by using the state information of the computer-readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field-programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer-readable program instructions to implement various aspects of the present disclosure.

[0077] Aspects of the present disclosure are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0078] These computer-readable program instructions can be provided to a processing unit of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when the instructions are executed by the processing unit of the computer or other programmable data processing apparatus, an apparatus is created that implements the functions / acts specified in one or more boxes of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, a programmable data processing apparatus, and / or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises a manufacture including instructions that implement various aspects of the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0079] The computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other devices to produce a computer-implemented process such that the instructions executed on the computer, other programmable data processing apparatus, or other devices implement the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0080] The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a segment of code, or a portion of an instruction, and the module, segment of code, or portion of an instruction may include one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions noted in the boxes may occur out of the order noted in the figures. For example, two consecutive boxes may in fact be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box in the block diagrams and / or flowcharts, and combinations of boxes in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or acts, or by a combination of dedicated hardware and computer instructions.

[0081] The embodiments of the present disclosure have been described above. The above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The choice of terms used herein is intended to best explain the principles of the embodiments, the practical application, or the technical improvement of the technology in the market, or to enable other ordinary skilled persons in the art to understand the embodiments disclosed herein.

Claims

1. A method for determining carbon emission reduction amounts, comprising: Obtain the charging data of the vehicle from the charging pile; Determine the electric carbon emissions of the vehicle based on the charging data, the demand-side response time period, and the carbon emission factor; Determine the fuel carbon emissions of a fuel vehicle with the same mileage as the vehicle based on the effective charging amount; And Determine the carbon emission reduction of the vehicle based on the electric carbon emissions and the fuel carbon emissions.

2. The method according to claim 1, wherein determining the electricity carbon emission amount comprises: Determine the effective charging time period based on the charging data and the demand-side response time period; Determine the effective charging amount based on the effective charging time period and the charging data; And Determine the electric carbon emissions based on the effective charging amount and the carbon emission factor.

3. The method according to claim 2, wherein determining the effective charging time period comprises: Determine the time period in the charging time period of the charging data that overlaps with the demand-side response time period as the effective charging time period.

4. The method according to claim 3, wherein determining the effective charging amount comprises: Determine the electric quantity corresponding to the effective charging time period in the charging data as the effective charging amount.

5. The method according to claim 2, determining the fuel carbon emission amount comprises: Determine the equivalent mileage of the vehicle based on the effective charging amount; And Determine the fuel carbon emissions based on the equivalent mileage of the vehicle.

6. An electronic device, comprising: At least one processing unit; And At least one memory, which is coupled to the at least one processing unit and stores machine-executable instructions. When the instructions are executed by the at least one processing unit, the device performs actions, and the actions include: Obtain the charging data of the vehicle from the charging pile; Determine the electric carbon emissions of the vehicle based on the charging data, the demand-side response time period, and the carbon emission factor; Determine the fuel carbon emissions of a fuel vehicle with the same mileage as the vehicle based on the effective charging amount; and Determine the carbon emission reduction of the vehicle based on the electric carbon emissions and the fuel carbon emissions.

7. The electronic device according to claim 6, wherein determining the electricity carbon emission amount comprises: Determine the effective charging time period based on the charging data and the demand-side response time period; Determine the effective charging amount based on the effective charging time period and the charging data; And Determine the electric carbon emissions based on the effective charging amount and the carbon emission factor.

8. The electronic device according to claim 7, wherein determining the effective charging time period comprises: Determine the time period in the charging time period of the charging data that overlaps with the demand-side response time period as the effective charging time period.

9. The electronic device according to claim 8, wherein determining the effective charging amount comprises: Determine the electric quantity corresponding to the effective charging time period in the charging data as the effective charging amount.

10. The electronic device according to claim 7, wherein determining the fuel carbon emissions comprises: Determine the equivalent mileage of the vehicle based on the effective charging amount; And Determine the fuel carbon emissions based on the equivalent mileage of the vehicle.

11. A computer storage medium, comprising a computer program product stored thereon including machine-executable instructions, the machine-executable instructions, when executed, causing the machine to perform the steps of the method according to any one of claims 1 to 5.

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