Information processing device

Abstract

To provide an information processing device which can properly decide an installation place of a charging facility of an electric vehicle.SOLUTION: An information processing device comprises a decision unit 123 which decides an installation place of a charging facility of an electric vehicle 10 on the basis of information about traffic volume for each region of the electric vehicle 10, information about a charge standby state for each charging facility of the electric vehicle 10, information about a user who cannot charge the electric vehicle 10 at a prescribed point, information about a battery residual amount for each region at the time of travel of the electric vehicle 10 and information about an installation state for each region of a quick charging facility.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing device. [Background technology]

[0002] Various methods have been proposed for determining the location of charging facilities based on information collected from multiple electric vehicles. For example, the system described in Patent Document 1 determines the location of electric power supply vehicles that can supply power to electric vehicles based on information on the locations of charging facilities and the traffic volume of electric vehicles. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2019-219767 Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the conventional technology, there is still room for improvement in terms of appropriately determining the installation location of charging equipment for electric vehicles.

[0005] The present invention has been made in view of the above circumstances, and has an object to provide an information processing device that can appropriately determine the installation location of charging equipment for electric vehicles. [Means for solving the problem]

[0006] An information processing device that solves the above problem includes a decision unit that decides the installation location of charging equipment for electric vehicles based on information regarding traffic volume for electric vehicles in each region, information regarding the charging standby status for each charging equipment for the electric vehicles, information regarding users who are unable to charge the electric vehicles at specified locations, information regarding the remaining battery charge in each region when the electric vehicle is traveling, and information regarding the installation status of rapid charging equipment in each region. [Effects of the Invention]

[0007] According to the present invention, it is possible to appropriately determine the installation location of charging equipment for electric vehicles. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 2 is a block diagram illustrating a configuration of a server according to an embodiment. [Figure 2] FIG. 10 is a diagram for explaining an example of a process for determining an installation location of charging equipment. DETAILED DESCRIPTION OF THE INVENTION

[0009] An embodiment of the server will be described below with reference to the drawings.

[0010] 1, the server 100 determines the installation location of the charging facility based on vehicle data collected from the electric vehicle 10. The server 100 is an electronic control device that performs various controls, and includes, for example, a communication device 110, a control unit 120, and a storage unit 130. The server 100 is an example of an information processing device.

[0011] The communication device 110 includes a communication interface such as a network interface card (NIC), etc. The communication device 110 communicates with the electric vehicle 10 using, for example, a cellular network, a Wi-Fi network, etc.

[0012] The control unit 120 includes, for example, a data acquisition unit 121, an analysis unit 122, and a determination unit 123.

[0013] The data acquisition unit 121 acquires vehicle data from a plurality of electric vehicles 10 via the communication device 110. The vehicle data includes, for example, position information of the electric vehicles 10 and information on the remaining battery charge.

[0014] The analysis unit 122 analyzes the vehicle data acquired by the data acquisition unit 121. For example, the analysis unit 122 calculates information related to traffic volume 131, number of times waiting for charging 132, number of users unable to charge at home 133, remaining battery capacity 134, and number of quick chargers 135 as analysis results based on the vehicle data, and stores the calculation results in the storage unit 130.

[0015] The traffic volume 131 is data indicating the total number of electric vehicles 10 passing through each mesh in each region. The traffic volume 131 is calculated, for example, by referring to the position information of the mesh in each region and the position information of the electric vehicles 10 contained in the map DB 136.

[0016] The charging wait count 132 is data indicating the total number of times different users have consecutively charged at public charging facilities within the mesh of each region. The charging wait count 132 is calculated, for example, by referring to the number of electric vehicles 10 that have stayed at the location of the public charging facility based on the location information of the electric vehicles 10 and the location information of the public charging facility contained in the map DB 136.

[0017] The number of users unable to charge at home 133 is data indicating the total number of users who have never charged at home for each mesh in each region. The number of users unable to charge at home 133 is calculated, for example, based on the location information of the electric vehicle 10 and the location information of the user's home registered in the map DB 136, by referring to the change in the remaining battery power of the electric vehicle 10 that stayed at the location of each user's home for a predetermined period of time.

[0018] The remaining battery capacity 134 is data indicating the average remaining battery capacity of the electric vehicle 10 that has traveled within the mesh of each region. The remaining battery capacity 134 is calculated, for example, by referring to information relating to the remaining battery capacity of the electric vehicle 10 and the position information of the mesh of each region contained in the map DB 136.

[0019] The number of rapid chargers 135 is data indicating the total number of rapid chargers for each mesh in each region, and is calculated, for example, by referencing the location information of the mesh in each region contained in the map DB 136 and the location information of the rapid chargers registered in the map DB 136.

[0020] The determination unit 123 determines the location of the charging equipment for the electric vehicle 10 based on information stored in the memory unit 130, such as traffic volume 131, number of times waiting for charging 132, number of users unable to charge at home 133, remaining battery capacity 134, and number of quick chargers 135.

[0021] FIG. 2 is a diagram for explaining an example of a process for determining an installation location of charging equipment.

[0022] In the example shown in FIG. 2 , the determination unit 123 determines the installation location of charging equipment for the electric vehicle 10 based on traffic volume 131, number of waiting times for charging 132, number of users who cannot charge at home 133, remaining battery charge 134, and number of quick chargers 135 for each mesh in each area. The determination unit 123 determines the installation location of charging equipment for the electric vehicle 10, for example, by normalizing and linearly combining each index. For example, the determination unit 123 determines, as the installation location of charging equipment for the electric vehicle 10, a store that will preferentially install quick chargers among dealerships that do not have charging equipment. In this example, the determination unit 123 determines the installation location of charging equipment for the electric vehicle 10 by, for example, giving a higher priority to a mesh with a higher traffic volume 131, number of waiting times for charging 132, or number of users who cannot charge at home 133. That is, in a mesh with a large traffic volume 131, a large number of times waiting to charge 132, and a large number of users unable to charge at home 133, it is expected that the number of times waiting to charge will increase as the number of electric vehicles 10 increases, and therefore charging facilities for electric vehicles 10 are installed with priority. Note that the determination unit 123 may weight the index related to the number of times waiting to charge 132 by referring to the facility ratio of facilities with a high percentage of facilities with a high number of times waiting to charge. Also, the determination unit 123 may weight the index related to the number of times waiting to charge 132 by referring to the number of times waiting to charge by time period and by giving a high priority to time periods with a high number of times waiting to charge. Also, the determination unit 123 determines the installation location of charging facilities for electric vehicles 10 by prioritizing a mesh with a smaller remaining battery capacity 134 or number of quick chargers 135, for example. That is, in a mesh with a small remaining battery capacity 134 or number of quick chargers 135, it is expected that there will be a high demand for charging of electric vehicles 10, and therefore charging facilities for electric vehicles 10 are installed with priority.

[0023] The above-described embodiments are intended to facilitate understanding of the present invention and are not intended to limit the scope of the present invention. The present invention may be modified or improved without departing from its spirit, and equivalents are also encompassed within the scope of the present invention. In other words, designs modified by those skilled in the art as appropriate are also encompassed within the scope of the present invention as long as they incorporate the characteristics of the present invention. For example, the elements and their arrangements, materials, conditions, shapes, sizes, etc., included in the embodiments are not limited to those illustrated and can be modified as appropriate. Furthermore, the embodiments are merely examples, and partial substitutions or combinations of the configurations shown in different embodiments are naturally possible. These are also encompassed within the scope of the present invention as long as they incorporate the characteristics of the present invention. [Explanation of symbols]

[0024] 10...electric vehicle, 100...server, 110...communication device, 120...control unit, 121...data acquisition unit, 122...analysis unit, 123...determination unit, 130...memory unit, 131...traffic volume, 132...number of times waiting for charging, 133...number of users unable to charge at home, 134...remaining battery capacity, 135...number of quick chargers, 136...map DB.

Claims

[Claim 1] a determination unit that determines a location for installing charging equipment for the electric vehicle based on information on the traffic volume of electric vehicles in each region, information on a charging standby status for each charging equipment for the electric vehicle, information on users who are unable to charge the electric vehicle at a predetermined location, information on a remaining battery charge in each region while the electric vehicle is traveling, and information on an installation status of rapid charging equipment in each region, Information processing device.

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