JP2023166898A - Electric power trading assistance system - Google Patents

Abstract

To provide a system for providing assistance in trading of electric power stored in electric vehicles.SOLUTION: A system disclosed herein is configured to: compute an available power supply amount from the state of charge of a self-drivable electric vehicle; search for a power supply destination vehicle satisfying a desired power sales condition including the power supply amount using a matching server; and cause the electric vehicle to self-drive to the power supply destination vehicle upon conclusion of a power trading contract.SELECTED DRAWING: Figure 1

Description

The present disclosure relates to a system that supports trading of power stored in an electric vehicle.

Patent Document 1 discloses a vehicle equipped with a solar panel.

Japanese Patent Application Publication No. 2018-121395

In order to realize carbon neutrality, solar power generation panels are being installed on electric vehicles. When the sun hits the solar panels while the car is parked, the drive battery automatically charges, but if the car is not used for a while, the battery becomes fully charged and cannot be charged even if the car is exposed to sunlight. If power could be traded between vehicles, it would be possible to lower the SOC of a fully charged battery and continue charging with sunlight.

The present disclosure has been made in view of the above-mentioned problems. The present disclosure aims to provide a system that supports trading of electric power stored in an electric vehicle.

The present disclosure provides a system for achieving the above objectives.

The system of the present disclosure calculates the amount of power that can be supplied from the state of charge of an electric vehicle that can be driven automatically, and uses a matching server to search for a power supply destination vehicle that satisfies desired power sales conditions, including the amount of supplied power. , and automatically moving the electric vehicle to the destination vehicle upon establishment of a power sales contract.

According to the system of the present disclosure, when a user wants to sell the power stored in an electric vehicle, the user can easily find a buyer for the power. When supplying power to a destination vehicle, the electric vehicle itself can be driven automatically and moved to the destination vehicle.

1 is a diagram showing the configuration of a power trading support system according to an embodiment of the present disclosure. FIG. 2 is a diagram illustrating an example of a method for determining a trading partner by the matching server of the power trading support system according to the embodiment of the present disclosure.

Embodiments of the present disclosure will be described below with reference to the drawings.

FIG. 1 shows the configuration of a power trading support system 2 according to this embodiment. The power trading support system 2 according to the present embodiment is a system that supports power trading between a power sales applicant 10 and a power purchase applicant 20.

The person 10 who desires to sell electricity is an electric vehicle 11 capable of automatically driving or its owner. The electric vehicle 11 is an electric vehicle equipped with a battery 12 such as a BEV or PHEV, and more specifically, an electric vehicle that can extract electric power stored in the battery 12 to the outside. The electric vehicle 11 may be a PV-equipped vehicle that includes a solar power generation panel and a charging circuit that charges the battery 12 with the power generated by the solar power generation panel. Here, it is assumed that the electric vehicle 11 is a PV-equipped vehicle.

The electric vehicle 11 itself becomes the power selling applicant 10 if the on-vehicle computer 13 that controls the electric vehicle 11 is programmed with a power trading program. Here, it is assumed that the electric vehicle 11 itself is the person 10 who desires to sell electricity. In order for the electric vehicle 11 to become the power selling applicant 10, the electric vehicle 11 must be a self-driving vehicle having an automatic driving level of level 4 or higher. The support system 2 is based on the premise that when an electricity sales contract is established, the electric vehicle 11, which is the electricity sales applicant 10, will automatically drive to the electric vehicle 21, which is the power supply destination vehicle. It's for a reason. Furthermore, in order for the electric vehicle 11 to become the power selling applicant 10, it is also a condition that the on-vehicle computer 13 has a communication function.

The electricity purchase applicant 20 is the electric vehicle 21 or its owner. The electric vehicle 21 becomes a power feeding destination vehicle for the electric vehicle 11. The electric vehicle 21 is an electric vehicle equipped with a battery 22 such as a BEV or PHEV, and more specifically, an electric vehicle whose battery 22 can be charged from the outside. Note that the electric vehicle 11 that satisfies the requirements for becoming the electricity selling applicant 10 can also become the electricity purchasing applicant 20.

The electric vehicle 21 itself becomes the power purchase applicant 20 if the on-vehicle computer 23 that controls the electric vehicle 21 is programmed with a power trading program. Here, it is assumed that the electric vehicle 21 itself is the person 20 who desires to sell electricity. In order for the electric vehicle 21 to become the power selling applicant 20, the in-vehicle computer 23 must have a communication function. Unlike the electric vehicle 11 that is the electricity purchase applicant 10, even if the electric vehicle 21 itself is the electricity purchase applicant 20, it is not essential that the electric vehicle 21 has an automatic driving level of level 4 or higher. The electric vehicle 21 may be an automated vehicle having an automated driving level of level 3 or lower, or may be a vehicle that does not have an automated driving function.

Here, as shown in FIG. 1, the support system 2 is based on the assumption that there are a plurality of electric vehicles 11 as the electricity sales applicant 10, and that there are also a plurality of electric vehicles 21 as the electricity purchase applicant 20. do. The power selling conditions when the electric vehicle 11 sells electricity vary depending on the current state of the electric vehicle 11 including the SOC of the battery 12 and the future usage schedule of the electric vehicle 11. Therefore, the power selling conditions differ for each electric vehicle 11. Furthermore, the power purchase conditions when the electric vehicle 21 purchases electric power vary depending on the current state of the electric vehicle 21 including the SOC of the battery 22 and the future usage schedule of the electric vehicle 21. Therefore, the power purchase conditions also differ for each electric vehicle 21.

The support system 2 includes a matching server 4 for searching for a combination of an electric vehicle 11 and an electric vehicle 21 whose power selling conditions and power purchasing conditions match. The matching server 4 is provided on the cloud, for example. Each electric vehicle 11 and electric vehicle 21 can access the matching server 4 using a communication function.

The electric vehicle 11 that wants to sell electricity accesses the matching server 4 and inputs electricity selling conditions to the matching server 4. For example, the following three cases are assumed when the electric vehicle 11 wants to sell electricity.

The first case is a case where the SOC of the battery 12 is at least a predetermined level and the charging voltage due to solar power generation is at least a predetermined value. In this case, the battery 12 can be continued to be charged by solar power generation by selling the electric power and making room for the SOC of the battery 12.

The second case is a case where the battery 12 is not scheduled to be used the next day after being charged at a discounted rate at night. In this case, a profit can be made by selling the electricity at a higher daytime rate.

The third case is a case where there is no plan to use the electric vehicle 11 for a long period of time. In this case, deterioration of the battery 12 can be suppressed by adjusting the SOC of the battery 12 to a range suitable for long-term non-use.

The power selling conditions input from the electric vehicle 11 to the matching server 4 include the amount of power to be supplied and the minimum selling price. However, the minimum sale price may be a fixed price or a price determined by dynamic pricing. The amount of power supplied may be a fixed amount or may be changed depending on the market price of the transaction. Further, the electric vehicle 11 inputs the current position on the map acquired by GPS to the matching server 4. Further, the electric vehicle 11 inputs information regarding average electricity consumption (average power consumption per unit distance) to the matching server 4. The average electricity consumption is obtained from log data of the on-vehicle computer 13.

On the other hand, the electric vehicle 21 that wants to buy electricity also accesses the matching server 4 and inputs the electricity purchase conditions into the matching server 4. Examples of cases in which the electric vehicle 21 would like to purchase electricity include a case where the electric vehicle 21 cannot travel due to a power shortage, a case where it is difficult to reach the nearest charging facility with the current SOC of the battery 22, etc. The power purchase conditions input from the electric vehicle 21 to the matching server 4 include the desired amount of power to purchase and the desired purchase price. Further, the electric vehicle 21 inputs the current position on the map obtained by GPS to the matching server 4.

The matching server 4 matches the input power selling conditions and power purchasing conditions and determines the optimal combination of the electric vehicle 11 and the electric vehicle 21, ie, the trading partner, from among a plurality of combinations. FIG. 2 is a diagram showing an example of a method for determining a trading partner by the matching server 4.

The matching server 4 determines whether the amount of supplied power presented by the person wishing to sell electricity 10 is greater than or equal to the amount of power desired to purchase presented by the person wishing to purchase power 20, or the difference between the amount of supplied power and the amount of power desired to purchase is within a predetermined range. Determine whether it is within the range. Furthermore, the matching server 4 determines whether the desired purchase price presented by the power purchase applicant 20 is equal to or higher than the minimum sales price presented by the power sales applicant 10. If these determination results are positive, the matching server 4 determines that the power selling conditions and the power purchasing conditions match. In the example shown in FIG. 2, three electric vehicles 21A, 21B, and 21C present power purchase conditions that match the power sale conditions presented by the electric vehicle 11X. In this case, the matching server 4 selects the electric vehicle presenting the most advantageous power selling conditions for the electric vehicle 11X as the power supply destination vehicle from among the electric vehicles 21A, 21B, and 21C.

When selecting a power feeding destination vehicle, the matching server 4 calculates travel routes 30A, 30B, and 30C for the electric vehicle 11X to travel to each of the electric vehicles 21A, 21B, and 21C. The current positions of the electric vehicle 11X and each electric vehicle 21A, 21B, 21C and road map data are used to calculate the travel routes 30A, 30B, and 30C. Next, the matching server 4 calculates the required travel distance of the electric vehicle 11X on each of the travel routes 30A, 30B, and 30C. Then, the amount of power consumed when the electric vehicle 11X moves to each electric vehicle 21A, 21B, 21C is calculated based on the required travel distance on each traveling route 30A, 30B, 30C and the average electricity consumption of the electric vehicle 11X. calculate.

The matching server 4 calculates the amount of power consumed when the electric vehicle 11X moves to each of the electric vehicles 21A, 21B, and 21C based on the purchase application amount presented by each of the electric vehicles 21A, 21B, and 21C. to select the destination vehicle. More specifically, the expenses associated with movement can be calculated by converting the amount of power consumption into a monetary amount based on the market price of that day. Then, by subtracting expenses from the purchase application amount, the actual profit from selling electricity can be calculated.

The matching server 4 selects, as the power supply destination vehicle, the electric vehicle that provides the largest actual profit from selling electricity among the electric vehicles 21A, 21B, and 21C. For example, when comparing only the purchase application amounts, even if the purchase application amount for electric vehicle 21A is the highest, when considering the amount of power consumed by the movement of electric vehicle 11X, transactions with other electric vehicles 21B and 21C are It may be determined that this is advantageous for the electric vehicle 11X. Here, it is assumed that the matching server 4 selects the electric vehicle 21B as the power feeding destination vehicle of the electric vehicle 11X.

The matching server 4 establishes a power sales contract between the electric vehicle 11X and the electric vehicle 21B selected as the power feeding destination vehicle. Upon establishment of the electricity sales contract, information identifying the electric vehicle 21B (for example, the vehicle registration number displayed on the license plate) and location information of the electric vehicle 21B are transmitted from the matching server 4 to the electric vehicle 11X. . The electric vehicle 11X calculates a travel route based on the position information of the electric vehicle 21B, and automatically moves to the electric vehicle 21B.

The electric vehicle 11X that has arrived at the electric vehicle 21B supplies power to the electric vehicle 21B. The power supply method may be either a direct power supply method in which power is directly supplied from the electric vehicle 11X to the electric vehicle 21B, or an indirect power supply method in which power is relayed through a charging facility. Examples of direct power supply methods include connector connection using a robot arm and wireless power supply.

2 Support system 4 Matching server 10 Electricity sales applicant 11, 11X Electric vehicle 12 Battery 13 On-board computer 20 Electricity purchase applicant 21, 21A, 21B, 21C Electric vehicle 22 Battery 23 On-board computer 30A, 30B, 30C Travel route

Claims (1)

Calculates the amount of power that can be supplied from the state of charge of self-driving electric vehicles,
A matching server searches for a power supply destination vehicle that satisfies the desired power sales conditions including the amount of power supplied,
A support system for power trading, characterized in that the system is configured to automatically move the electric vehicle to the power supply destination vehicle upon establishment of a power sales contract.

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