Method for determining electric energy value considering electric energy usage statistics in an EV ecosystem and apparatus for performing such method

Abstract

The present invention relates to a method for determining the value of electric energy in an EV ecosystem taking into account electric energy usage statistics and a device for performing such a method. The method for determining the value of electric energy in an EV ecosystem taking into account electric energy usage statistics includes: determining electric energy usage statistics based on EV eco-data received from each of a plurality of EV charging stations by an EV ecosystem management device; and determining a price of electric energy by time of day to be sold at each of the plurality of EV charging stations by the EV ecosystem management device.

Description

[Technical Field]

[0001] The present invention relates to a method for determining the value of electric energy taking into account electric energy usage statistics in an EV ecosystem and an apparatus for performing such a method. More particularly, the present invention relates to a method for determining the value of electric energy taking into account electric energy usage statistics of an EV charging station to prevent the waste of electric energy generated at an EV power plant and an apparatus for performing such a method. [Background technology]

[0002] The automotive industry is an industry where technological and business ecosystems change with changes in technological resources. The introduction of electric vehicles will lead to the formation of diverse ecosystems between electric vehicle-related businesses and technologies.

[0003] When electric vehicles are used, various changes in the industrial ecosystem can occur due to the charging of electric vehicles. Various economic and industrial issues different from those that existed before can arise, such as issues related to the increase in charging facilities for electric vehicles and the supply of power to electric vehicle charging facilities, issues related to the reduction of environmental pollution due to the use of electric vehicles, and issues related to the data generated when charging and operating electric vehicles.

[0004] Research is needed into ways to manage the various issues that may arise from electric vehicles through an ecosystem, and to connect the various entities within the ecosystem to generate synergy among them and generate power for new industries.

[0005] Related technology is disclosed in Korean Patent Registration No. 10-2283148. Summary of the Invention [Problem to be solved by the invention]

[0006] An object of the present invention is to solve all of the above-mentioned problems.

[0007] Another object of the present invention is to reduce the amount of unused electrical energy that is produced by differentiating the value of electrical energy for each EV charging station by time period based on electrical energy usage statistics at the EV charging station.

[0008] Another object of the present invention is to improve the overall efficiency of use of produced electric energy by differentiating and determining electric energy values ​​for each EV charging station based on the electric energy price premium rate for each charging amount determination time unit and the electric energy price discount rate for each charging amount determination time unit. [Means for solving the problem]

[0009] The present invention has the following general configuration for achieving the above object.

[0010] According to one embodiment of the present invention, a method for determining an electric energy value taking into account electric energy usage statistics in an EV ecosystem includes: a step of determining electric energy usage statistics based on EV eco data received from each of a plurality of EV charging stations by an EV ecosystem management device; and a step of determining a price of electric energy by time of day to be sold at each of the plurality of EV charging stations by the EV ecosystem management device.

[0011] Meanwhile, the EV ecosystem management device sets a price of basic electric energy and determines the price of the time-of-day electric energy through a discount on the price of time-of-day electric energy and a surcharge on the price of time-of-day electric energy.

[0012] The method is characterized in that the discount rate of the price of electric energy by time period and the surcharge rate of the price of electric energy by time period are determined taking into consideration the magnitude of the total charge amount and the reference charge amount of the entire charging station group by the charge amount determination time unit.

[0013] According to one embodiment of the present invention, an EV ecosystem management device that determines an electric energy value taking into account electric energy usage statistics in an EV ecosystem is characterized in that the EV ecosystem management device determines electric energy usage statistics based on EV eco data received from each of a plurality of EV charging stations and determines the price of electric energy by time of day to be sold at each of the plurality of EV charging stations.

[0014] Meanwhile, the EV ecosystem management device is characterized in that it sets a price for basic electric energy and determines the price of the electric energy by time of day through discounts on the price of electric energy by time of day and surcharges on the price of electric energy by time of day.

[0015] The EV ecosystem management device is characterized in that the discount rate of the electric energy price by time period and the surcharge rate of the electric energy price by time period are determined taking into consideration the magnitude of the total charge amount and the reference charge amount of the entire charging station group by charge amount determination time unit. [Effects of the Invention]

[0016] According to the present invention, the value of electric energy at each EV charging station is determined differently by taking into account the statistics of electric energy usage at the EV charging station, thereby reducing the amount of electric energy that is generated but not used.

[0017] In addition, according to the present invention, the electric energy value for each EV charging station is determined differently based on the electric energy price premium rate for each charging amount determination time unit and the electric energy price discount rate for each charging amount determination time unit, thereby improving the overall efficiency of use of produced electric energy. [Brief explanation of the drawings]

[0018] [Figure 1] FIG. 1 is a conceptual diagram showing an EV (electric vehicle) ecosystem according to an embodiment of the present invention. [Figure 2]FIG. 2 is a conceptual diagram illustrating the operation of the EV ecosystem management device according to the embodiment of the present invention. [Figure 3] FIG. 3 is a conceptual diagram illustrating an EV ecological system and an EV ecosystem according to an embodiment of the present invention. [Figure 4] FIG. 4 is a conceptual diagram illustrating the operation of the EV ecosystem participating device management unit according to an embodiment of the present invention. [Figure 5] FIG. 5 is a conceptual diagram illustrating the operation of the EV ecosystem participating device management unit according to an embodiment of the present invention. [Figure 6] FIG. 6 is a conceptual diagram illustrating a network management method of an EV ecosystem network management unit according to an embodiment of the present invention. [Figure 7] FIG. 7 is a conceptual diagram illustrating a method for managing E-points in an EV eco-system based on an ecosystem participant group according to an embodiment of the present invention. [Figure 8] FIG. 8 is a conceptual diagram illustrating the operation of the EV ecosystem point management unit according to the embodiment of the present invention. [Figure 9] FIG. 9 is a conceptual diagram illustrating the operation of the EV ecosystem point management unit according to the embodiment of the present invention. [Figure 10] FIG. 10 is a conceptual diagram illustrating the operation of the EV ecosystem carbon emission credit management unit according to an embodiment of the present invention. [Figure 11] FIG. 11 is a conceptual diagram showing a method for generating and collecting carbon credits according to an embodiment of the present invention. [Figure 12] FIG. 12 is a conceptual diagram showing a method for liquidating and trading carbon emission rights according to an embodiment of the present invention. [Figure 13] FIG. 13 is a conceptual diagram showing a carbon emission trading method according to an embodiment of the present invention. [Figure 14] FIG. 14 is a conceptual diagram illustrating a method for providing incentives for each power generation source when generating electric energy according to an embodiment of the present invention. [Figure 15] FIG. 15 is a conceptual diagram illustrating a method for determining carbon emission credits for each power generation source when generating electric energy according to an embodiment of the present invention. [Figure 16] FIG. 16 is a conceptual diagram illustrating a method for providing electrical energy to an EV according to an embodiment of the present invention. [Figure 17] FIG. 17 is a conceptual diagram showing an electric energy price determination algorithm in an EV according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] The following detailed description of the present invention refers to the accompanying drawings, which show, by way of example, specific embodiments in which the present invention may be practiced. These embodiments are described in detail to enable those skilled in the art to fully practice the present invention. It should be understood that although the various embodiments of the present invention are different from one another, they are not necessarily mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be embodied in different embodiments without departing from the spirit and scope of the present invention. It should also be understood that the location or arrangement of individual components within each embodiment may be changed without departing from the spirit and scope of the present invention. Therefore, the following detailed description should not be taken in a limiting sense, and the scope of the present invention should be understood to encompass the scope of the appended claims and all equivalents thereto. Like reference numerals in the drawings indicate the same or similar components throughout the various aspects.

[0020] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, various preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily practice the present invention.

[0021] Hereinafter, the driver assistance device according to the embodiment of the present invention can be interpreted to include not only a driving recorder but also various devices that assist the driver based on lane detection.

[0022] Hereinafter, the EVs (electric vehicles), EV charging stations, EV power plants, and user companies disclosed may be interpreted as meaning EVs, EV charging stations, EV power plants, users, corporate user devices, servers, etc. that are capable of processing data.

[0023] FIG. 1 is a conceptual diagram showing an EV (electric vehicle) ecosystem according to an embodiment of the present invention.

[0024] In FIG. 1, an EV ecosystem embodied and expanded based on electric vehicles is disclosed.

[0025] Referring to Figure 1, the EV ecosystem is a system for managing economic and / or industrial changes that occur in the operation of EVs as a single ecosystem. The ecosystem managed by the EV ecosystem can be expressed as the EV eco-ecosystem.

[0026] The EV ecosystem may include an EV ecosystem participant device 100 , an EV ecosystem networking device 120 and an EV ecosystem management device 140 .

[0027] The EV ecosystem participating device 100 may be a device participating in the EV ecosystem. The EV ecosystem participating device 100 may be a device of various entities that have economic or industrial relevance due to the operation of EVs, such as an EV, a user device of a user who operates an EV, a charger that provides power to an EV, a charging station that provides power to an EV, a corporate device related to the EV (e.g., a corporate service providing server), etc. The EV ecosystem participating device 100 generates EV eco data, which may be transmitted to the EV ecosystem management device 140 via the EV ecosystem networking device 120.

[0028] The EV ecosystem participating device 100 can be a device that can utilize E-points. A particular company can purchase carbon emission credits from other companies or users using E-points, and can also sell products or services that it produces to companies using E-points. In other words, even if there is no direct connection to EVs, if economic activities based on E-points are carried out in relation to carbon emission credits, the device can operate in the EV ecosystem as an EV ecosystem participating device 100.

[0029] The EV eco-data may include various data for managing and implementing the EV ecosystem. The EV eco-data may include different information depending on the EV ecosystem participating device 100. For example, the EV eco-data generated by the EV may include charging data, operation data, etc., and the EV eco-data generated by the EV charging station may include power supply data, charging statistics data, etc.

[0030] The EV ecosystem networking device 120 may be implemented to form a network between the EV ecosystem participants 100. The EV ecosystem participants 100 may be expanded and added within the EV ecosystem, and the EV ecosystem networking device 120 may be implemented to create a network between the EV ecosystem participants 100. For example, when a new EV is put into operation or a new EV charging station or a new EV power plant is added, an identifier may be assigned to each of the new EV, new EV charging station, and new EV power plant. The EV ecosystem networking device 120 may receive EV eco data generated from the new EV, new EV charging station, and new EV power plant and transmit the data to the EV ecosystem management device 140.

[0031] The EV ecosystem management device 140 may be implemented to manage the EV ecosystem based on the EV ecosystem data collected by the EV ecosystem networking device 120. For example, the EV ecosystem management device 140 may establish an exchange method such as E-points for economic integration within the EV ecosystem and utilize the E-points through an integrated payment system. More specifically, the EV ecosystem management device 140 may convert various industrial and economic activities performed within the EV ecosystem into units such as E-points and provide an integrated payment system so that the E-points can be utilized in various areas within the EV ecosystem.

[0032] FIG. 2 is a conceptual diagram illustrating the operation of the EV ecosystem management device according to the embodiment of the present invention.

[0033] In FIG. 2, an operation for an EV ecosystem management device participating in an EV ecosystem to manage a plurality of EV ecosystem participating devices is disclosed.

[0034] Referring to FIG. 2 , the EV ecosystem management device may include an EV ecosystem registration unit 200, an EV ecosystem participant device management unit 210, an EV ecosystem network management unit 220, an EV ecosystem energy management unit 230, an EV ecosystem environment management unit 240, an EV ecosystem point management unit 250, an EV ecosystem payment management unit 260, an EV ecosystem carbon emission credit management unit 270, an EV ecosystem carbon emission credit trading unit 280, and an EV ecosystem adjustment unit 290.

[0035] The EV ecosystem registration unit 200 may be implemented for registering EV ecosystem participants. The EV ecosystem registration unit 200 may assign identification information to EV ecosystem participants. Based on the identification information, EV ecosystem participants that generate EV eco data may be classified, and the EV eco data may be processed in the EV ecosystem management device.

[0036] The EV ecosystem participant management unit 210 may be implemented to manage relationships between EV ecosystem participants. Taking into consideration the relationships between the EV ecosystem participants, multiple EV ecosystem participants may form hierarchical relationships among each other or be grouped together and managed as an EV ecosystem participant group.

[0037] The EV ecosystem participant device hierarchy and EV ecosystem participant device groups managed by the EV ecosystem participant device management unit 210 can be adaptively changed, and the management of the EV ecosystem participant device network, E-points, E-point payments, etc. can be changed due to changes in the EV ecosystem participant device hierarchy and EV ecosystem participant device groups.

[0038] The EV ecosystem network management unit 220 may be implemented to manage a network between EV ecosystem participants. The network may be configured differently depending on the addition or deletion of EV ecosystem participants and changes in the EV ecosystem participant hierarchy and EV ecosystem participant group, and the EV ecosystem network management unit 220 can manage the network between EV ecosystem participants.

[0039] The EV ecosystem energy management unit 230 may be implemented to manage electric energy for charging EVs. Electric energy may be generated from various sources (thermal, nuclear, solar, wind, etc.) and transmitted to EVs through EV charging stations. Demand for electric energy may vary depending on time and location.

[0040] The EV ecosystem energy management unit 230 can efficiently utilize electric energy in the EV ecosystem by managing the sources that generate electric energy and the objects that use electric energy. For example, the EV ecosystem energy management unit 230 can set different electric energy sales fees for different sources that generate electric energy. For example, the more environmentally friendly power generation (power generation based on renewable energy) is, the more carbon emissions are reduced, and the price of electric energy can be set so that electric energy can be sold at a higher price taking into account the carbon emission reduction effect. Alternatively, renewable energy-based power generation can be encouraged by providing incentives for more environmentally friendly power generation.

[0041] Or, in the case of electrical energy generated at a specific time (e.g., at night) when there are not many EVs to charge, it may be discarded. Therefore, electrical energy may be set to be sold at different prices depending on time and location, taking into account the demand for electrical energy by location and time. Sales and payments for electrical energy may be performed based on E-points, which may be managed by the EV ecosystem point management unit 250 and the EV ecosystem payment management unit 260.

[0042] The EV ecosystem environment management unit 240 may be implemented to manage elements related to environmental protection in the EV ecosystem and to manage incentives for environmental protection. For example, the EV ecosystem environment management unit 240 may determine allocation of E-points and provision of carbon emission credits in consideration of incentives for environmental protection and carbon emission reduction in the EV ecosystem, such as how much incentive to provide when selling electric energy generated from solar power, or how much value to provide for a user's carbon emission credits depending on the reduction of carbon emissions through the use of an EV.

[0043] The EV ecosystem point management unit 250 may be implemented to manage E-points. E-points may be a means of exchange for economic activities in the EV ecosystem. For example, E-points may be generated when a user converts fiat currency or cryptocurrency to charge an EV. E-points may also be accumulated by a user in consideration of the carbon emissions reduced by operating their EV. E-points may also be provided to power plants that generate solar-based electrical energy as an incentive (or subsidy) in consideration of environmental protection. E-points may be used to purchase products or services from various companies that make up the EV ecosystem.

[0044] The EV ecosystem point management unit 250 can adjust inflation and deflation of E-points through issuing and burning E-points so that economic activities based on E-points can be carried out within the EV ecosystem.

[0045] The EV ecosystem payment management unit 260 may be implemented to manage an E-point-based payment system. The E-point-based payment system may set up a payment system on an online store / offline store that allows payment based on E-points, and manage the payment system to enable E-point-based payments.

[0046] The EV ecosystem carbon emission credit management unit 270 can be implemented to manage carbon emission credits of devices participating in the EV ecosystem. Management of carbon emission credits of users (individuals or companies) can be performed through the EV ecosystem carbon emission credit management unit 270. Individuals can acquire carbon emission credits through personal activities that relatively reduce carbon emissions, such as EV operation and EV charging time. Companies can acquire corporate carbon emission credits through personal activities that relatively reduce carbon emissions, such as corporate activities (EV production, renewable energy-based electric energy production, etc.). Conversely, if an individual or company performs an activity that relatively increases carbon emissions, the carbon emission credits can be recovered again.

[0047] The EV ecosystem carbon credit management unit 270 can manage carbon credits so that they can be generated or collected based on activity data of EV ecosystem participants who participate in the EV ecosystem as individuals and businesses.

[0048] In addition, the EV ecosystem carbon credit management unit 270 can liquidate carbon credits in tradable units so that carbon credits can be traded.

[0049] The EV ecosystem carbon emission trading unit 280 may be implemented to enable trading of carbon emission rights between EV ecosystem participants. Carbon emission rights allocated to individuals or companies may be traded, and the EV ecosystem carbon emission trading unit 280 may provide an exchange system to enable trading of carbon emission rights.

[0050] The EV ecosystem coordinator 290 may be implemented to coordinate and control EV ecosystem participating devices, EV ecosystem networking devices, and the like operating within the EV ecosystem.

[0051] In addition, the EV ecosystem adjustment unit 290 is a processor and can be embodied to control the operations of the EV ecosystem registration unit 200, the EV ecosystem participant device management unit 210, the EV ecosystem network management unit 220, the EV ecosystem energy management unit 230, the EV ecosystem environment management unit 240, the EV ecosystem point management unit 250, the EV ecosystem payment management unit 260, the EV ecosystem carbon emission credit management unit 270, and the EV ecosystem carbon emission credit trading unit 280.

[0052] FIG. 3 is a conceptual diagram illustrating an EV ecological system and an EV ecosystem according to an embodiment of the present invention.

[0053] 3 discloses an example of a method for implementing an EV ecosystem based on EV ecosystem participating devices and managing the EV ecosystem based on an EV ecosystem management device. For convenience of explanation, FIG. 3 discloses an example of an EV ecosystem based on an EV charging station receiving electrical energy from an EV power plant and a user charging an EV through the EV charging station. However, the EV ecosystem may also be implemented in areas where various other industrial and economic activities based on EVs and electrical energy occur, and such embodiments may also be included within the scope of the present invention.

[0054] 3, the EV 300 may be an electric bike, and a user may provide delivery services using the EV 300. The battery for driving the EV 300 may be charged in a replaceable form at an EV charging station 320.

[0055] EV300 users can charge E-Points through the app. Charging E-Points can be done through a variety of means, such as purchasing E-Points with fiat currency or converting personal carbon credits into E-Points.

[0056] EV300 users can convert E-points into mileage (or rechargeable electric energy) through the app. For example, 100 E-points can be converted into 100km of mileage and exchanged for electric energy (or a battery) capable of driving 100km.

[0057] If the user replaces the EV battery, mileage may be deducted and a new battery may be installed in the EV 300.

[0058] The user's EV battery replacement action and data on the user's EV operation can be transmitted as EV eco data to the EV ecosystem management device through the EV ecosystem networking device.

[0059] Carbon emission credits can be allocated to users based on their EV battery replacement actions and their EV operation. For example, based on the user's EV eco data such as the user's EV operation mileage, the user's battery replacement actions, and the user's EV operation record, the user's actions to reduce carbon emissions and actions to maintain the battery life for a longer period can be analyzed based on the EV eco data, and carbon emission credits can be allocated to users based on this.

[0060] Users can trade carbon credits through the app installed on their device and convert them into E-points, which can then be used to replace batteries or purchase products and services from companies participating in the EV ecosystem.

[0061] The EV charging station 320 may be implemented for EV battery replacement, EV battery charging, etc. The EV charging station 320 may transmit information on EV battery replacement data, EV battery charging data, etc. of multiple users to the EV ecosystem management device as EV eco data.

[0062] Electric energy used during charging by the EV charging stations 320 can be sold based on E-points of different sizes. Generated electric energy is discarded if not used. Therefore, the EV ecosystem management device adaptively sets E-points per kWh for electric energy by time or location based on EV eco data collected from multiple EV charging stations 320, and can sell electric energy at different prices.

[0063] In addition, electric energy may be sold at different prices for each EV power plant 340 depending on the power generation source of the EV power plant 340. For example, electric energy produced based on renewable energy (solar heat, wind power, etc.) may be purchased by paying relatively expensive E-points. That is, an incentive is paid when purchasing electric energy, encouraging more renewable energy-based power generation at the EV power plant 340. Alternatively, when renewable energy-based power generation is performed, carbon emission credits are provided to the EV power plant 340 that performs the renewable energy-based power generation, and the EV power plant 340 can earn E-points by selling the carbon emission credits.

[0064] Data related to power generation by the EV power plant 340 may also be transmitted to the EV ecosystem management device as EV eco data.

[0065] An EV ecosystem can be realized in the above manner, and this EV ecosystem is just one example, and various other EV ecosystem participants can operate within the EV ecosystem with various industrial and economic relevance.

[0066] FIG. 4 is a conceptual diagram illustrating the operation of the EV ecosystem participating device management unit according to an embodiment of the present invention.

[0067] FIG. 4 discloses a method for creating a hierarchical relationship between EV ecosystem participants in an EV ecosystem participant management unit.

[0068] 4, the EV ecosystem participant management unit can form a hierarchical structure among EV ecosystem participants. The hierarchical structure among EV ecosystem participants can be used to group EV ecosystem participants and manage the issuance and burning of E-points based on E-point usage data among the EV ecosystem participant group.

[0069] The hierarchy among the EV ecosystem participants may form a first hierarchy structure 410 based on the production, sale, and consumption of electric energy.

[0070] A first hierarchical structure 410 may be formed in the order of EV power plants that generate electric energy, EV charging stations that sell electric energy supplied through the EV power plants, and EVs that receive electricity from the EV charging stations. In the first hierarchical structure 410, EVs may be located at level a, EV charging stations at level b, and EV power plants at level c. Levels a, b, and c may be higher levels.

[0071] More specifically, the first hierarchical structure 410 may be set based on EV eco-data of EVs, EV charging stations, and EV power plants. For example, EV charging stations 1 to n that receive electric energy from EV power plant 1 may form a hierarchical structure, and EVs 1 to n that receive electric energy from EV charging station 1 or charge their EV batteries may form a hierarchical structure with EV charging station 1.

[0072] An EV charging station can receive electrical energy from multiple EV power plants, and an EV can also receive electrical energy from multiple EV charging stations. Therefore, the same EV charging station or the same EV can be located in multiple locations on the same level. For example, EV charging station 1 can be located not only at EV power plant 1, but also at levels below EV power plant 2 and EV power plant 3. An EV can be located not only at EV charging station 1, but also at levels below EV charging station 2 and EV charging station 3.

[0073] The more similar EVs that multiple EV charging stations share in the first hierarchical structure 410, the more adjacent they can be located on hierarchical structure b. Also, the closer the distance between multiple EV charging stations is in the first hierarchical structure 410, the more adjacent they can be located on hierarchical structure b. For example, the similarity between EV charging stations is determined based on how many of the same EVs are included in lower hierarchical structures and the distance between the EV charging stations, and the higher the similarity between EV charging stations, the more adjacent the EV charging stations can be located on hierarchical structure b.

[0074] In addition, if a specific EV charging station receives electrical energy from a specific EV power plant a first critical number of times or more within a first critical period, the specific EV charging station may be positioned in a lower hierarchy than the specific EV power plant.

[0075] If a specific EV receives electrical energy from a specific EV charging station a second critical number of times or more within a second critical period, the specific EV may be located in a lower hierarchy than the specific EV charging station.

[0076] The cycle in which an EV receives electrical energy from an EV charging station is longer than the cycle in which the EV charging station receives electrical energy from an EV power plant, and the EV receiving electrical energy from the EV charging station may be a more sporadic action than the EV charging station receiving electrical energy from an EV power plant. Therefore, the second critical period may be set to be longer than the first critical period, and the second critical count may be set to be smaller than the first critical count.

[0077] When a one-off supply of electrical energy is performed through the setting of the critical period and the critical number of times as described above, additional hierarchical settings do not need to be performed on the first hierarchical structure 410, and the first hierarchical structure 410 can be continuously changed according to changes in industrial and economic conditions.

[0078] The second hierarchical structure 420 may be formed in relation to the use of E-points regardless of electrical energy. When considering payment for charging electrical energy of an EV, E-points may flow in the order of EV, EV charging station, and EV power plant. The second hierarchical structure 420 may initially be formed based on the first hierarchical structure 410.

[0079] E-points can be used for a variety of industrial and economic reasons, even if they are not directly related to the use of electric energy. For example, a company that needs to purchase carbon emission credits can use E-points as an EV ecosystem participant to purchase carbon emission credits and sell goods and services based on the E-points. Also, even if an individual does not operate an EV, they can sell carbon emission credits, convert them into E-points, and then use the E-points to purchase goods and services from a specific company. EV ecosystem participants corresponding to such companies and individuals can also be located in the second hierarchical structure 420, which purchases E-points and receives E-points in exchange for the sale of goods / services.

[0080] The E-point-based second hierarchical structure 420 can generate upper and lower hierarchical relationships based on the flow of E-points. The party that pays E-points can be set to the lower hierarchical level, and the party that receives E-points can be set to the upper hierarchical level.

[0081] If E-points are paid n times or more during the third critical period, the tier is maintained in the second tier structure 420, and if E-points are paid less than n times during the third critical period, the tier may be deleted. The third critical period and n times may be set differently for each tier, and the higher the tier, the shorter the third critical period and the longer the n times may be since the economic and industrial relationship is stronger.

[0082] FIG. 5 is a conceptual diagram illustrating the operation of the EV ecosystem participating device management unit according to an embodiment of the present invention.

[0083] In FIG. 5, a method for grouping EV ecosystem participants in an EV ecosystem participant manager based on hierarchical relationships between the EV ecosystem participants is disclosed.

[0084] Referring to FIG. 5, EV ecosystem participant groups may be determined by grouping EV ecosystem participant devices based on the first and second hierarchical structures.

[0085] The EV ecosystem participant group may be primarily determined based on the first hierarchical structure. The first EV ecosystem participant group may be determined taking into consideration the relationship between EVs, EV charging stations, and EV power plants based on the flow of electrical energy.

[0086] The first EV ecosystem participant device group 510 may be formed by considering an EV charging station group. EV charging stations having a similarity equal to or greater than a threshold value on layer b may be grouped into one EV charging station group, and EVs and EV power plants associated with one EV charging station group may be set as one first EV ecosystem participant device group 510.

[0087] The first EV ecosystem participant group 510 may be expanded based on a second hierarchical structure that takes into account the flow of E-points. Taking into account the consumption of E-points by EV users included in the first EV ecosystem participant group 510, EV ecosystem participants that provide goods and services based on E-points may be additionally included in the first EV ecosystem participant group 510 to determine a second EV ecosystem participant group 520.

[0088] In addition, users who do not operate EVs but consume goods and services based on E-points and EV ecosystem participants who provide goods and services based on E-points may be set as a third EV ecosystem participant group 530.

[0089] That is, the second EV ecosystem participant device group 520 may be determined by expanding the first EV ecosystem participant device group 510, and the third EV ecosystem participant device group 530 may be created separately, regardless of the first EV ecosystem participant device group 510.

[0090] According to an embodiment of the present invention, management of E-points can be performed based on EV eco data generated in the first EV ecosystem participant device group 510, the second EV ecosystem participant device group 520, and the third EV ecosystem participant device group 530.

[0091] FIG. 6 is a conceptual diagram illustrating a network management method of an EV ecosystem network management unit according to an embodiment of the present invention.

[0092] In FIG. 6, a method is disclosed for an EV ecosystem network manager to configure a network based on relationships between EV ecosystem participants.

[0093] Referring to FIG. 6, the EV ecosystem network management unit can set up network relationships between EV ecosystem participants taking into account a first EV ecosystem participant group, a second EV ecosystem participant group, and a third EV ecosystem participant group.

[0094] The EV eco data generated by the EV ecosystem participant may include group identification information for the EV ecosystem participant group to which the EV ecosystem participant belongs.

[0095] The EV ecosystem network management unit may form a virtual network structure 600 for the EV ecosystem participant group by taking into account the first and second hierarchical structures. The virtual network structure 600 may be a structure that takes into account the hierarchical structure of the EV ecosystem participants and the EV ecosystem participant group, rather than a physical network structure.

[0096] The virtual network structure 600 can be used to process and analyze EV eco data. E-points included in the EV eco data, such as the movement of electric energy, and movement data for electric energy can be processed and analyzed on the virtual network structure and used as an analysis unit for economic activity.

[0097] FIG. 7 is a conceptual diagram illustrating a method for managing E-points in an EV eco-system based on an ecosystem participant group according to an embodiment of the present invention.

[0098] In FIG. 7, a method for managing the supply and demand of E-Points within a group of EV ecosystem participants to manage E-Point volatility is disclosed.

[0099] Referring to FIG. 7, E-point supply and E-point demand can be extracted for each EV ecosystem participant group through an analysis of E-point supply and demand for each of the first EV ecosystem participant device group 710, the second EV ecosystem participant device group 720, and the third EV ecosystem participant device group 730.

[0100] First, a determination can be made regarding the flow of E-point usage based on the supply / demand of electric energy based on the E-point supply and E-point demand on the first EV ecosystem participant group 710 .

[0101] In addition, based on the E-point supply and E-point demand on the second EV ecosystem participant group 720, a determination can be made regarding the flow of E-point usage based on the demand / supply of electric energy and the flow of E-point usage other than electric energy of EV ecosystem participants directly related to the demand / supply of electric energy.

[0102] In addition, a determination can be made regarding the flow of E-point usage other than electrical energy for ecosystem participants that are less related to electrical energy based on E-point supply and E-point demand on the third EV ecosystem participant group 730.

[0103] The flow of E-points usage based on the first EV ecosystem participant device group 710 may be expressed as a first E-points usage flow 715. The flow of E-points usage based on the second EV ecosystem participant device group 720 may be expressed as a second E-points usage flow 725. The flow of E-points usage based on the third EV ecosystem participant device group 730 may be expressed as a third E-points usage flow 735.

[0104] Based on the first E-point usage flow 715, the second E-point usage flow 725, and the third E-point usage flow 735, a determination is made regarding the demand and supply of E-points for each usage area, and management of fluctuations in the value of E-points taking into account the usage area can be performed.

[0105] For example, an overall inflation rate and inflation rates for each usage area are set, and the E-points provided to the first EV ecosystem participating device group 710, the second EV ecosystem participating device group 720, and the third EV ecosystem participating device group 730 can be adjusted taking into account the first E-point usage flow 715, the second E-point usage flow 725, and the third E-point usage flow 735, so that the value of the E-points can be determined within the overall inflation rate.

[0106] FIG. 8 is a conceptual diagram illustrating the operation of the EV ecosystem point management unit according to the embodiment of the present invention.

[0107] FIG. 8 discloses a method for the EV Ecosystem Points Manager to manage the generation of E-Points.

[0108] Referring to FIG. 8, E-points can be issued through various routes.

[0109] The first issuance route 810 of E-points may be based on fiat currency. When fiat currency is deposited, it may be converted into E-points according to a set first exchange rate. The first exchange rate may be determined based on the exchange rate between fiat currency and E-points.

[0110] The second issuance route 820 of E-points may be based on cryptocurrency. When cryptocurrency is deposited, it may be converted into E-points according to a set second exchange rate. The second exchange rate may be determined based on the exchange rate between cryptocurrency and E-points.

[0111] The third issuance path 830 of E-points may be issuance based on the production of electric energy. An EV power plant can produce electric energy, and the produced electric energy can be converted and paid for based on E-points. The electric energy may be paid for based on previously generated E-points, or based on newly generated E-points. When the electric energy is paid for based on newly issued E-points, E-points may be issued through the third issuance path.

[0112] The fourth issuance path 840 for E-points may be issuance through the sale of services and goods by EV ecosystem participants. Services and goods provided by EV ecosystem participants may be paid for based on newly issued E-points. Services and goods provided by EV ecosystem participants may be paid for based on previously generated E-points, or may be paid for based on newly generated E-points. When a service or good is paid for based on newly issued E-points, E-points may be issued through the fourth issuance path.

[0113] The fifth issuance channel 850 for E-points may be issuance through the sale of carbon emission credits for EV ecosystem participants. Individuals or companies can settle carbon emission credits as EV ecosystem participants based on newly issued E-points. Carbon emission credits for EV ecosystem participants may be settled based on pre-generated E-points, or may be settled based on newly generated E-points. When carbon emission credits are settled based on newly issued E-points, E-points may be issued through the fifth issuance channel 850.

[0114] The first issuance route 810, the second issuance route 820, the third issuance route 830, the fourth issuance route 840, and the fifth issuance route 850 are examples, and E-points can flow into the EV-ecosystem through various other issuance routes.

[0115] The E-points issued through the first issuance channel 810 and the second issuance channel 820 may be E-points exchanged for currency. The E-points issued through the third issuance channel 830, the fourth issuance channel 840, and the fifth issuance channel 850 may be E-points issued in exchange for energy, services, goods, or carbon emission credits.

[0116] The routes of E-points that flow in by being exchanged for other currencies, such as the first issuance route 810 and the second issuance route 820, can be referred to as E-point value-unchanging routes, while the routes of E-points that flow in based on other goods, services, or rights rather than currency, such as the third issuance route 830, the fourth issuance route 840, and the fifth issuance route 850, can be referred to as E-point value-changing routes.

[0117] The EV Ecosystem Point Management Department can immediately convert cryptocurrency and fiat currency exchanged for E-points into stable currency (dollars, Korean won, stable coins, etc.) for the first issuance route 810 and the second issuance route 820, thereby reducing the price fluctuation range of E-points.

[0118] In the case of the third issuance route 830, the fourth issuance route 840 and the fifth issuance route 850, the inflow of E-points into the EV ecosystem may increase, and the EV ecosystem point management unit may fluctuate the price of E-points and readjust the exchange rate of E-points with fiat currency taking into account the increase in the inflow of E-points, fluctuations in the price of electric energy, fluctuations in the price of goods and services, fluctuations in the price of carbon emission rights, the set inflation rate, etc.

[0119] FIG. 9 is a conceptual diagram illustrating the operation of the EV ecosystem point management unit according to the embodiment of the present invention.

[0120] In FIG. 9, a method for an EV ecosystem point management unit to manage the generation of E-points based on blockchain is disclosed.

[0121] Referring to FIG. 9, when E-points are generated through the first issuance route and the second issuance route, the first smart contract 910 on the blockchain can generate E-points based on the deposited fiat currency or cryptocurrency, taking into account the time-based standard exchange rate.

[0122] The first smart contract 910 may be implemented to determine E-points corresponding to fiat currency or cryptocurrency deposited at a specific address, and to generate and transfer the determined E-points to a set address.

[0123] When E-points are generated based on the third issuance route, the fourth issuance route, or the fifth issuance route, the second smart contract 920 on the blockchain can determine and provide E-points corresponding to the price of electric energy, the price of goods / services, the price of carbon emission credits, etc., taking into account the price of electric energy, the price of goods / services, the price of carbon emission credits, etc. at the time of exchange.

[0124] The price of electric energy, the price of goods / services, and the price of carbon emission credits can be set by the EV ecosystem participants that provide electric energy, goods, services, and carbon emission credits, and can be included in and transmitted in transactions.

[0125] The second smart contract 920 receives information on the current prices of electric energy, current goods and services, and current carbon emission rights from the EV ecosystem network management unit, and processes transactions transmitted by EV ecosystem participants that reflect and provide this information, and transmits E-points to EV ecosystem participants.

[0126] The second smart contract 920 can set the critical number of E-points that can be issued taking into account the set inflation rate, and can be embodied to transmit an alarm regarding the increase in the number of E-points to the EV ecosystem network management unit if the critical number of E-points is exceeded.

[0127] In addition, if the number of E-points issued based on the second smart contract 920 exceeds the critical number of E-points, the deposited fiat currency or cryptocurrency can be used to purchase E-points, thereby reducing the number of E-points within the EV ecosystem, and the change in the value of E-points can be adjusted so that it does not exceed the set inflation rate.

[0128] The set inflation rate can be adaptively adjusted taking into account the expansion value of the EV eco-system. The higher the expansion value of the EV eco-system, the larger the set inflation rate can be. The expansion value of the EV eco-system can be set to a larger value as the increase in the number of EV ecosystem participants and the rate of increase in the EV ecosystem participants increase relatively. In addition, taking into account data on the transfer of E-points and electric energy based on EV ecosystem participants, the faster the transfer of E-points and electric energy is, the larger the expansion value of the EV eco-system can be set to.

[0129] That is, according to an embodiment of the present invention, a method for implementing a payment system in an EV ecosystem by an EV ecosystem management device may include a step in which the EV ecosystem management device receives data regarding E-points in the EV ecosystem, and a step in which the EV ecosystem management device adjusts the issuance of the E-points based on a set inflation rate.

[0130] Data for E-points includes data on the supply and demand of points, and data for E-points can be collected based on a group of devices participating in the EV ecosystem. The set inflation rate can be adaptively adjusted taking into account the expansion value of the EV ecosystem.

[0131] FIG. 10 is a conceptual diagram illustrating the operation of the EV ecosystem carbon emission credit management unit according to an embodiment of the present invention.

[0132] FIG. 10 discloses the operation of the EV Ecosystem Carbon Credit Management Unit to manage the creation and destruction of carbon credits for individuals and businesses, and to liquidate carbon credits so that they can be traded.

[0133] Referring to FIG. 10, the EV ecosystem carbon credit management unit can manage carbon credits 1050 so that they can be generated or collected based on EV eco data 1000 including activity data of EV ecosystem participating devices.

[0134] The EV ecosystem carbon credit management unit can receive personal activity data related to carbon emission reduction collected through a personal user device (e.g., a smartphone) or a personal EV as EV eco data 1000. For example, personal carbon credits 1050 are generated based on a personal electric vehicle driving record, a personal electric vehicle battery charging and discharging record, etc., and the generated personal carbon credits 1050 can be viewed through an app on the user device.

[0135] Conversely, the EV ecosystem carbon credit management unit may receive personal activity data related to an increase in an individual's carbon emissions as EV eco data 1000 and collect personal carbon credits 1050. For example, personal carbon credits 1050 may be collected based on an individual's diesel vehicle operation, gasoline vehicle operation, etc.

[0136] In addition, the EV Ecosystem Carbon Emission Credit Management Department can receive corporate activity data related to carbon emission reduction collected based on corporate activities as EV Eco Data 1000. For example, corporate carbon emission credits 1050 can be generated based on EV Eco Data 1000 related to carbon emission reduction, such as a company's electric vehicle production or a company's conversion of its fossil fuel-based energy generation structure to a renewable energy generation structure, and can be viewed on the corporate server.

[0137] Similarly, the EV ecosystem carbon emission credit management unit may receive corporate activity data related to an increase in a company's carbon emissions as EV eco data 1000 and collect carbon emission credits 1050. For example, a company's carbon emission credits 1050 may be collected based on the company's diesel vehicle production, gasoline vehicle production, etc.

[0138] The EV Ecosystem Carbon Emission Credit Management Department can manage 1050 carbon emission credits allocated to individuals and companies based on the individual carbon emission credit generation / recovery algorithm and the company carbon emission credit generation / recovery algorithm.

[0139] Carbon credits 1050 may be generated based on the amount of carbon. For example, the amount of carbon reduced by the actions of an individual or a company may be determined, and carbon credits 1050 may be generated based on the reduced amount of carbon and transferred to the individual or company. The carbon credit generation algorithm will be described later.

[0140] The carbon emission credits 1050 may be traded in a manner that combines them with existing carbon emission credits 1050, or the carbon emission credits 1050 may be divided and managed in the minimum trading unit. For example, if the carbon amount corresponding to the existing carbon emission credit 1050 is A and the carbon amount corresponding to the newly generated and received carbon emission credit 1050 is B, the carbon emission credit 1050 corresponding to the carbon amount A and the carbon emission credit 1050 corresponding to the carbon amount B may be burned, and one carbon emission credit 1050 corresponding to the total amount A+B may be newly generated and allocated to the user. Furthermore, if the carbon amount corresponding to another existing carbon emission credit 1050 is A and the carbon amount corresponding to the newly generated and received carbon emission credit 1050 is B, the carbon emission credit 1050 corresponding to the total amount A+B may be divided into C, which is the size of the carbon amount of the tradable carbon emission credit 1050, and n tradable carbon emission credits 1050 may be generated.

[0141] FIG. 11 is a conceptual diagram showing a method for generating and collecting carbon credits according to an embodiment of the present invention.

[0142] 11 shows an exemplary carbon credit generation algorithm for generating individual carbon credits. Hereinafter, the present invention will be described with reference to a method for generating carbon credits based on specific subordinate data included in EV eco-data. However, carbon credits may be generated based on various other data, and such methods are also within the scope of the present invention.

[0143] Referring to FIG. 11, an algorithm for generating carbon credits for an individual can be determined by extracting EV operation data and EV charging data from the individual's EV eco data.

[0144] Basically, default carbon credits can be generated based on the EV driving distance included in the EV driving data. For example, if an individual drives an EV for 100 km, default carbon credits of 1,100 corresponding to the driving distance of 100 km can be generated.

[0145] The default carbon credits 1100 can be adjusted taking into account the driving habits and charging habits of the individual in the EV eco data, and can be finally corrected to the carbon credits 1120 that the individual receives.

[0146] For example, the more an individual's driving habits cause electricity to be consumed quickly, the carbon amount corresponding to the carbon emission credit 1120 may decrease relative to the default carbon emission credit 1100. Also, the more an individual's charging habits cause battery performance to deteriorate quickly, the carbon amount corresponding to the carbon emission credit 1120 may decrease relative to the default carbon emission credit 1100. Conversely, the more an individual's driving habits cause electricity to be consumed less quickly, the carbon amount corresponding to the carbon emission credit 1120 may increase relative to the default carbon emission credit 1100. Also, the more an individual's charging habits cause battery performance to not deteriorate quickly, the carbon amount corresponding to the carbon emission credit may increase relative to the default carbon emission credit 1100.

[0147] The amount of correction can be adaptively adjusted in consideration of the amount of carbon corresponding to the default carbon emission credit 1100, the user's driving habits, and the user's charging habits.

[0148] As previously mentioned, once carbon credits 1120 are generated, they can be converted into E-points 1140, increasing the inflow of E-points 1140 into the EV ecosystem.

[0149] If the issuance of E-points 1140 is within a set inflation rate that takes into account the expansion value of the EV eco-system, the amount of carbon corresponding to the default carbon emission rights 1100 and the user's driving habits and charging habits can be fixed.

[0150] If the issuance of E-points 1140 is other than a set inflation that takes into account the expansion value of the EV eco-system, the amount of carbon corresponding to the default carbon emission rights 1100 is set to be reduced, and the correction amount that is corrected taking into account the user's charging habits can also be corrected to reduce the rate of increase in carbon that increases and increase the rate of decrease in carbon that decreases that decreases.

[0151] Alternatively, according to an embodiment of the present invention, if the increase in the inflation rate is greater than or equal to the critical range, the amount of carbon corresponding to the default carbon emission rights 1100 is set to decrease without taking into account the set inflation rate, and the amount of correction that is corrected taking into account the user's charging habits can also be adjusted by decreasing the increase rate of carbon that is increased after correction and increasing the decrease rate of carbon that is decreased after correction.

[0152] While the above example uses an individual, a transportation company that operates EVs may be allocated multiple default carbon emission credits 1100 for multiple EVs and carbon emission credits 1120 determined by correcting the multiple default carbon emission credits 1100.

[0153] That is, a method for managing carbon emission rights in an EV ecosystem according to an embodiment of the present invention may include a step in which an EV ecosystem management device receives EV eco data including activity data of EV ecosystem participating devices, and a step in which the EV ecosystem management device generates carbon emission rights based on the EV eco data.

[0154] The step of generating carbon emission credits may include a step of the EV ecosystem management device determining default carbon emission credits based on the EV eco-data, and a step of the EV ecosystem management device adjusting the default carbon emission credits based on the EV eco-data to generate carbon emission credits.

[0155] FIG. 12 is a conceptual diagram showing a method for liquidating and trading carbon emission rights according to an embodiment of the present invention.

[0156] In FIG. 12, a carbon emission allowance liquidation and trading method is disclosed for trading and use of carbon emission allowances.

[0157] 12, a minimum trading unit of carbon emission credits 1200 (hereinafter, minimum carbon emission credit trading unit 1210) may be set for liquidation of carbon emission credits 1200 for trading of carbon emission credits 1200. The minimum carbon emission credit trading unit 1210 may be determined based on the minimum amount of carbon that can be traded.

[0158] The minimum carbon emission trading unit 1210 may be adaptively changed and determined in consideration of set inflation that takes into account the expansion value of the EV eco-system. If the minimum carbon emission trading unit 1210 is set relatively high, the conversion rate to E-points may be reduced, and the inflow of E-points into the EV eco-system may be delayed. Therefore, the minimum carbon emission trading unit 1210 may be adaptively determined in consideration of set inflation.

[0159] Carbon emission rights can be traded through a first carbon emission rights trading scheme 1250 and a second carbon emission rights trading scheme 1260. In the case of the second carbon emission rights trading scheme 1260, trading is performed without setting a minimum carbon emission rights trading unit 1210, while in the case of the first carbon emission rights trading scheme 1250, trading can be performed with setting a minimum carbon emission rights trading unit 1210.

[0160] The generation, destruction, and trading of carbon emission credits 1200 may be managed based on the blockchain. When a carbon emission credit generation request transaction is transmitted to the blockchain, carbon emission credits 1200 may be generated through a smart contract and transmitted to the user's carbon emission credit receiving wallet. The carbon emission credit generation request transaction may be a transaction for requesting carbon emission credits 1200 determined based on a carbon emission credit generation algorithm. Users or companies can check the received carbon emission credits 1200 through the app.

[0161] When carbon emission credits 1200 are generated and transmitted, information on the generation and transmission of carbon emission credits may be recorded on the blockchain. Carbon emission credits 1200 may be generated based on the minimum generation unit. The minimum carbon emission credit trading unit 1210 may be set to n times the minimum generation unit.

[0162] FIG. 13 is a conceptual diagram showing a carbon emission trading method according to an embodiment of the present invention.

[0163] In FIG. 13, a trading method for trading carbon emission rights is disclosed.

[0164] Referring to Figure 13, carbon emission trading can be divided into a first carbon emission trading method 1310 in which new E-points are newly generated and traded, and a second carbon emission trading method 1320 in which existing E-points are traded based on fiat currency.

[0165] The first carbon emission trading method 1310 trades in the minimum carbon emission trading unit and can exchange carbon emission rights to issue new E-points. The first carbon emission trading method 1320 can trade carbon emission rights and E-points by issuing new E-points on the blockchain based on a new E-point issuance request transaction by a separate EV ecosystem management device, not an exchange.

[0166] That is, the first carbon emission trading scheme 1310 can be a transaction that newly injects E-points into the EV eco-system.

[0167] The second carbon emission trading method 1320 can be traded based on the carbon emission exchange regardless of the minimum carbon emission trading unit. For example, the asking price of a seller who sells carbon emission rights and the bid price of a buyer who purchases carbon emission rights can be determined and traded based on fiat currency or E-points.

[0168] According to an embodiment of the present invention, a company that needs carbon emission rights can purchase large units of carbon emission rights through the second carbon emission rights trading method 1320. The company can request the exchange to purchase carbon emission rights at a fixed price, and the exchange can collect carbon emission rights within the exchange at the fixed price and sell the carbon emission rights in over-the-counter transactions.

[0169] That is, the second carbon emission trading method 1320 may be a transaction based on E-points or fiat currency that already exists in the EV eco-system.

[0170] In addition, according to an embodiment of the present invention, carbon emission rights may be traded by dividing them into separate tokens, i.e., first carbon emission rights 1315 that can be traded in a first carbon emission rights trading method 1310 and second carbon emission rights 1325 that can be traded in a second carbon emission rights trading method 1320.

[0171] The first carbon emission credit 1315 is a carbon emission credit traded in the minimum carbon emission credit trading unit taking into account the set inflation rate. The second carbon emission credit 1325 is a carbon emission credit traded at a price determined by the purchaser and the user without any separate price restrictions.

[0172] FIG. 14 is a conceptual diagram illustrating a method for providing incentives for each power generation source when generating electric energy according to an embodiment of the present invention.

[0173] FIG. 14 discloses a method for providing incentives in the sales process of electric energy according to the power generation source (solar, wind, nuclear, thermal, etc.) used for generating electric energy.

[0174] Referring to FIG. 14, the price per KWh when selling electric energy to a user does not differ depending on the power generation source but may be fixed.

[0175] However, when paying the price for the produced electric energy to the EV power plant, the price can be different per KWh depending on the power generation source of the EV power plant.

[0176] In the EV ecosystem, different incentives are given for different power generation sources for electric energy, and different prices can be paid for different power generation sources of EV power plants.

[0177] If different incentives are given to electric energy depending on the power generation source, more incentives may be provided to electric energy generated by EV power plants whose power generation source is renewable energy, and a relatively higher price per KWh (e.g., more E-points) may be paid.

[0178] The size of the incentive for electric energy can be determined taking into consideration the price of electric energy currently sold to consumers, the cost of producing electric energy by power generation source, and the rate of electric energy production by power generation source.

[0179] For example, there may be EV power plant A that uses solar thermal, a renewable energy source, as its power generation source, and EV power plant B that uses thermal, a non-renewable energy source, as its power generation source. It may be assumed that the supply of electrical energy by EV power plant A (solar thermal) is 1 / 5 of the total supply of electrical energy, and the supply of electrical energy by EV power plant B (thermal power) is 4 / 5 of the total supply of electrical energy.

[0180] If electrical energy is sold to a consumer at a price of 10 per KWh and a total of 1000 Khw of electrical energy is sold, then the total sale of electrical energy can be 10,000.

[0181] A first percentage 1410 (for example, 50%) of the total selling cost may be allocated primarily in consideration of the supply amount.

[0182] If the first ratio 1410 is 50%, the total sales amount is 10,000, and 50% of that amount, or 5,000, is the primary allocation value. 1,000, or 1 / 5 of 5,000, is allocated to EV Power Plant A (solar thermal), and 4,000, or 4 / 5 of 5,000, is allocated to EV Power Plant A (thermal).

[0183] The second ratio 1420 (e.g., 30%) of the total sales cost can be allocated secondarily taking into account the electric energy production cost by power generation source. For example, if the electric energy production cost of solar thermal power generation is 2 and the electric energy production cost of thermal power generation is 1, 2,000, which is 2 / 3 of 3,000 considering 30% of the second ratio 1420 of the total sales cost, can be allocated to EV Power Plant A (solar thermal), and 1,000, which is 1 / 3 of 3,500, can be allocated to EV Power Plant A (thermal).

[0184] Finally, a third percentage of the total sales cost (1430, for example, 20%) can be allocated taking into account incentives by power generation source. For example, incentives by power generation source can be set and allocated to renewable energy sources. If only thermal power and solar thermal are power generation sources, the remaining 2,000 incentive can be provided to solar thermal, which is a renewable energy source.

[0185] The second ratio 1420 may be changed according to changes in the cost of producing electric energy by power generation source. The second ratio 1420 may be set to be relatively large as the difference in the cost of producing electric energy by power generation source becomes relatively large, and the second ratio 1420 may be set to be relatively small as the difference in the cost of producing electric energy by power generation source becomes relatively small.

[0186] The third ratio 1430 may be changed to take into account the proportion of the total electrical energy supplied by the EV power plant using renewable energy sources. The third ratio 1430 may be adjusted to provide more incentives as the proportion of renewable energy sources among all power generation sources becomes relatively smaller.

[0187] By adjusting the second ratio 1420 and the third ratio 1430, the first ratio 1410 can also be changed.

[0188] FIG. 15 is a conceptual diagram illustrating a method for determining carbon emission credits for each power generation source when generating electric energy according to an embodiment of the present invention.

[0189] FIG. 15 discloses a procedure for selling electric energy to provide carbon emission credits for each power generation source (solar, wind, nuclear, thermal, etc.) used to generate electric energy.

[0190] Referring to FIG. 15, different carbon emission credits may be provided for different power generation sources of an EV power plant.

[0191] Carbon emission credits 1520 may be provided to an EV power plant 1560 that does not emit carbon and uses renewable energy as a power generation source. Carbon emission credits 1520 may be allocated to the EV power plant 1560 in consideration of the amount of carbon reduced by the EV power plant 1560 that uses renewable energy as a power generation source. For example, for an EV power plant 1550 that uses non-renewable energy as a power generation source, the amount of carbon generated when producing 000 KWh of electrical energy may be determined to be 1000. The ratio for determining the amount of carbon generated by electrical energy produced based on a non-renewable power generation source may be defined as a reference carbon amount conversion ratio 1500.

[0192] An EV power plant 1560 that uses renewable energy as a power generation source may be allocated carbon credits 1520 determined based on a reference carbon conversion rate 1500 and a carbon credit setting rate 1510 .

[0193] It may be assumed that an EV power plant 1560 that uses renewable energy as a power generation source produces 1000 kWh of electrical energy and the reference carbon amount conversion ratio 1500 is 1:1. In this case, by adding the carbon emission credit setting ratio 1510 (e.g., 2:1) to the 1000 determined by the reference carbon amount conversion ratio 1500, the EV power plant 1560 can ultimately receive carbon emission credits 1520 corresponding to 500 (1 / 2 of 1000).

[0194] The reference carbon amount conversion rate 1500 and the carbon emission credit setting rate 1510 can be changed taking into account the proportion of renewable energy sources in the total electric energy supply. The relatively fewer renewable energy sources among all power generation sources, the higher the reference carbon amount conversion rate 1500 and the carbon emission credit setting rate 1510 are set, and carbon emission credits corresponding to a larger amount of carbon can be allocated to the EV power plant 1560 that uses renewable energy as a power generation source.

[0195] The method for determining the value of electric energy taking into account the power generation source in an EV ecosystem may include a step in which an EV ecosystem management device determines an incentive for an EV power plant based on the power generation source of the EV power plant, and a step in which the EV ecosystem management device determines carbon emission rights to be allocated to the EV power plant based on the power generation source of the EV power plant.

[0196] The amount of the incentive can be determined taking into consideration the price of electric energy currently sold to consumers, the cost of producing electric energy by power generation source, and the electric energy production ratio by power generation source, and the carbon emission rights can be determined based on the standard carbon conversion ratio and the carbon emission rights setting ratio.

[0197] FIG. 16 is a conceptual diagram illustrating a method for providing electrical energy to an EV according to an embodiment of the present invention.

[0198] In FIG. 16, a method for providing electric energy at different prices at an EV charging station end based on electric energy usage statistics is disclosed.

[0199] 16, if electric energy is not used after production, it is difficult to charge and is therefore discarded. Therefore, in order to improve the efficiency of electric energy use, statistical data on electric energy usage can be generated through EV eco data 1600 of the EV charging station, and electric energy can be supplied at different prices depending on the time period using the statistical data on electric energy usage.

[0200] The EV ecosystem management device can analyze the EV eco data 1600 received from multiple EV charging stations to determine electrical energy usage statistics.

[0201] The EV eco data 1600 may include information on energy source information, charging time, charging type (slow, fast), and charging amount.

[0202] The energy source information may include information about an EV power plant that supplies electrical energy to the EV charging station.

[0203] The charging time information may include information about the time when the EV charging is performed.

[0204] The charging type information may include information about the charging type, such as whether slow charging or fast charging was performed.

[0205] The charge amount information may include information about the charge amount charged in one charge.

[0206] The EV ecosystem management device can control the EV charging station to supply electric energy at different prices depending on the location and time of day based on the EV eco data generated by location and time period in order to improve the efficiency of electric energy use.

[0207] As described above with reference to Figure 5, the total charge amount for each time period may be determined based on the EV eco data of the EV charging station group determined in consideration of the similarity between the EV charging stations. The time unit for determining the total charge amount for each time period may be expressed as a charge amount determination time unit.

[0208] If the time unit for determining the charge amount is one hour, the total charge amount for each EV charging station group may be determined in one-hour increments based on the EV eco data of the EV charging station group. The total charge amount for each EV charging station group may be expressed as a total charge amount (EV charging station group).

[0209] For example, graph A1615 for total charge amount (EV charging station group 1) 1610 is a graph showing total charge amount (EV charging station group 1) 1610 for each charge amount determination time unit by adding up the charge amounts for each charge amount determination time unit of EV charging station 1, EV charging station 2, and EV charging station 3 included in EV charging station group 1. Graph A1615 for total charge amount (EV charging station group 1) 1610 may show that the charge amount accumulates during a specific time period (work time) and maintains a constant total charge amount even after work ends and before noon.

[0210] Graph B for total charge amount (EV charging station group 2) 1620 is a graph showing total charge amount (EV charging station group 2) 1620 by charge amount determination time unit, which is the sum of the charge amounts by charge amount determination time unit of EV charging station 4, EV charging station 5, and EV charging station 6 included in EV charging station group 2. Graph B 1625 for total charge amount (EV charging station group 2) 1620 shows that the charge amount accumulates before work starts and after work ends, and a certain charge amount can be maintained even after work ends and after 12 o'clock.

[0211] In this manner, data on the total charging amount (EV charging station group) for each charging amount determination time unit is collected for the EV charging station group, and the price of electric energy according to charging time can be adjusted for each EV charging station group taking into account the data on the total charging amount (EV charging station group) for each charging amount determination time unit.

[0212] The price adjustment of electric energy according to charging time for each EV charging station group can be performed to distribute the time periods when electric energy use is relatively high and to promote the use of electric energy during the time periods when electric energy use is relatively low.

[0213] FIG. 17 is a conceptual diagram showing an electric energy price determination algorithm in an EV according to an embodiment of the present invention.

[0214] In FIG. 17, a method for determining the price of electric energy based on a time-of-use electric energy pricing algorithm is disclosed.

[0215] Referring to FIG. 17, a basic price of electric energy is set, and the price of electric energy by time of day can be determined through discounts on the price of electric energy by time of day and premiums on the price of electric energy by time of day.

[0216] The discount rate of the electric energy price by time period and the premium rate of the electric energy price by time period may be determined taking into consideration the total charge amount of the entire charging station group by charging amount determination time unit and the reference charge amount 1710. The total charge amount of the entire charging station group by charging amount determination time unit may be the amount of electric energy used by all EV charging stations measured by the charging amount determination time unit. Hereinafter, the total charge amount of the entire charging station group by charging amount determination time unit will be expressed as the term total charge amount (overall EV charging station group) 1700.

[0217] The reference charge amount 1710 may be an average value of the total charge amount (total EV charging station group) 1700 for each charge amount determination time unit.

[0218] For example, the first charge amount determination time unit may be 8:00 to 9:00, and the total charge amount (total EV charging station group) 1700 in the first charge amount determination time unit may be 10,000. The second charge amount determination time unit may be 9:00 to 10:00 PM, and the total charge amount (total EV charging station group) 1700 in the second charge amount determination time unit may be 3,000.

[0219] If the reference charge amount 1710 is 7,000, the total charge amount (total EV charging station group) (1700) of 10,000 minus the reference charge amount (1710) of 7,000 in the first charge amount determination time unit, or 3,000, can be used to determine the premium rate of the price of electric energy in the first charge amount determination time unit.

[0220] If the reference charge amount 1710 is 7,000, the total charge amount (total EV charging station group) (1700) 3,000 minus the reference charge amount (1710) 7,000 in the second charge amount determination time unit, or -4,000, can be used to determine the discount rate of the price of electric energy in the second charge amount determination time unit.

[0221] In this manner, the premium rate 1720 of the price of electric energy and the discount rate 1730 of the price of electric energy can be determined for each charging amount determination time unit.

[0222] According to an embodiment of the present invention, the premium rate 1720 of the price of electric energy and the discount rate 1730 of the price of electric energy may be additionally adjusted for each EV charging station group.

[0223] As shown in graph A of total charging amount by EV charging station group and graph B of total charging amount by EV charging station group, the amount of electric energy used by time period for each EV charging station group may differ from each other.

[0224] In order to reduce variations in usage amount by time period, the charge amount determination time unit may be divided into a premium time period 1740 in which the price of electric energy is increased and a discount time period 1750 in which the price of electric energy is discounted.

[0225] Based on data on the charging amount in the premium time section 1740 and the charging amount in the discount time section 1750 in the specific EV charging station group, the price of electric energy of the multiple EV charging stations included in the specific EV charging station group may be additionally adjusted.

[0226] The relatively larger the charging amount in the premium time section 1740 of the specific EV charging station group is, and the relatively smaller the charging amount in the discount time section 1750 of the specific EV charging station group is, the higher the premium of the electric energy price for the specific EV charging station group is set and the lower the discount amount is set, and thus the additional electric energy price adjustment for each specific EV charging station group can be performed.

[0227] That is, according to an embodiment of the present invention, a method for determining an electric energy value taking into consideration electric energy usage statistics in an EV ecosystem may include a step of determining electric energy usage statistics based on EV eco data received from each of a plurality of EV charging stations by an EV ecosystem management device, and a step of determining a price of electric energy by time period to be sold at each of the plurality of EV charging stations by the EV ecosystem management device.

[0228] The EV ecosystem management device sets a basic electric energy price and determines the electric energy price by time of day through a discount on the electric energy price by time of day and a surcharge on the electric energy price by time of day, and the discount rate on the electric energy price by time of day and the surcharge rate on the electric energy price by time of day can be determined taking into account the magnitude of the total charge amount and the reference charge amount of the entire charging station group by charge amount determination time unit.

[0229] The above-described embodiments of the present invention may be embodied in the form of program instructions that can be executed by various computer components and stored on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions stored on the computer-readable recording medium may be specially designed and constructed for the present invention, or may be readily available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, and flash memory. Examples of program instructions include not only machine language code, such as that produced by a compiler, but also high-level language code that can be executed by a computer using an interpreter, etc. A hardware device may be replaced by one or more software modules to perform the processes of the present invention, and vice versa.

[0230] Although the present invention has been described above using specific details such as specific components and limited examples and drawings, this is merely provided to facilitate a more general understanding of the present invention, and the present invention is not limited to the above examples. Those skilled in the art to which the present invention pertains may attempt various modifications and changes from such descriptions.

[0231] Therefore, the concept of the present invention should not be limited to the above-described embodiments, and all scopes equivalent to or modified equivalently from the scope of the claims, as well as the scope of the claims described below, are considered to fall within the scope of the concept of the present invention.

Claims

1. The method for determining the value of electric energy in the EV ecosystem taking into account the statistics of electric energy usage is as follows: determining, by the EV ecosystem management device, electrical energy usage statistics based on the EV eco data received from each of the plurality of EV charging stations; and The method includes a step in which the EV ecosystem management device determines a price of time-of-use electric energy to be sold at each of the plurality of EV charging stations.

2. The method according to claim 1, wherein the EV ecosystem management device sets a price of basic electric energy and determines the price of the time-of-day electric energy through a discount on the price of time-of-day electric energy and a surcharge on the price of time-of-day electric energy.

3. 3. The method according to claim 2, wherein the discount rate of the price of electric energy by time period and the premium rate of the price of electric energy by time period are determined taking into consideration the magnitude of the total charge amount and the reference charge amount of the entire charging station group by the charge amount determination time unit.

4. An EV ecosystem management device that determines an electric energy value taking into account electric energy usage statistics in an EV ecosystem, determining electrical energy usage statistics based on the EV eco data received from each of the plurality of EV charging stations; The EV ecosystem management device determines a price of electric energy sold by each of the plurality of EV charging stations according to time of day.

5. The EV ecosystem management device of claim 4, wherein the EV ecosystem management device sets a price of basic electric energy and determines the price of the electric energy by time of day through a discount on the price of the electric energy by time of day and a surcharge on the price of the electric energy by time of day.

6. 6. The EV ecosystem management device of claim 5, wherein the discount rate of the price of electric energy by time period and the surcharge rate of the price of electric energy by time period are determined taking into consideration the magnitude of the total charge amount and the reference charge amount of the entire charging station group by the charge amount determination time unit.

Images