Control device, program, and power management system

Abstract

To provide a control device, a program, and a power management system that can suppress the failure of power supply and demand operation plans.SOLUTION: There is provided a power management system in which a management server, a plurality of electric vehicles, a plurality of charging facilities, a disaster information management device, a power system, power generation facilities, and power storage facilities can communicate with each other via a network. A server control device 11 of a management server 10 calculates an expected value of the charging power of each of the plurality of electric vehicles based on information on the remaining amount of an on-vehicle battery of each of the plurality of electric vehicles and a charge request signal, and calculates a total charging demand by integrating the calculated expected values for the plurality of electric vehicles within a management area. Then, the management server creates a power supply and demand operation plan based on the calculated total charging demand. At this time, the server control device creates the power supply and demand operation plan so that the total charging demand is reflected in a power generation plan by the power generation facilities, a power storage plan by the power storage facilities, or a power purchase plan from the power system.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present disclosure relates to a control device, a program, and a power management system. [Background technology]

[0002] Patent Document 1 discloses a technique for controlling the on / off of a charger in accordance with a charging plan including allocation of chargers to be used by an electric vehicle, charging start times, and a required amount of charge. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2015-019465 A Summary of the Invention [Problem to be solved by the invention]

[0004] When the demand for charging multiple electric vehicles is high, there is a risk that the power supply and demand operation plan that manages the power used to charge the electric vehicles by the charging equipment will collapse.

[0005] The present disclosure has been made in consideration of the above-mentioned problems, and has as its purpose to provide a control device, a program, and a power management system that can prevent a power supply and demand operation plan from failing. [Means for solving the problem]

[0006] The control device according to the present disclosure has a processor that performs calculations to calculate a total charging demand based on SOC information and a charging request signal of each of a plurality of electric vehicles, and creates a power supply and demand operation plan for managing the power for charging the electric vehicles by the charging equipment based on the calculated total charging demand.

[0007] The program according to the present disclosure causes a processor to execute calculations to calculate a total charging demand based on SOC information and a charging request signal of each of a plurality of electric vehicles, and to create a power supply and demand operation plan for managing the power used to charge the electric vehicles by charging equipment based on the calculated total charging demand.

[0008] The power management system according to the present disclosure includes an electric vehicle having a first processor that outputs SOC information and a charging request signal, and a control device having a second processor that calculates a total charging demand based on the SOC information and the charging request signal of each of a plurality of electric vehicles, and performs calculations to create a power supply and demand operation plan that manages the power for charging the electric vehicles by the charging equipment based on the calculated total charging demand. Effect of the Invention

[0009] The present disclosure has an effect of preventing the power supply and demand operation plan from collapsing. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram showing a schematic configuration of a power management system according to an embodiment. [Diagram 2] FIG. 2 is a diagram showing a schematic configuration of the management server. [Diagram 3] FIG. 3 is a diagram showing a schematic configuration of an electric vehicle. [Figure 4] FIG. 4 is a diagram showing a schematic configuration of a charging facility. [Diagram 5] FIG. 5 is a diagram showing a schematic configuration of the disaster information management device. [Figure 6] FIG. 6 is a diagram showing a control routine executed by the vehicle control device of the electric vehicle. [Figure 7] FIG. 7 is a diagram showing a calculation control routine for a power supply and demand operation plan executed by the server control device of the management server. [Figure 8] FIG. 8 is a diagram showing a selection control routine for recommended charging facilities executed by the server control device of the management server. [Figure 9] FIG. 9 is a diagram showing a control routine for a charging probability map in the event of a disaster, which is executed by the server control device of the management server. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Hereinafter, embodiments of a control device, a program, and a power management system according to the present disclosure will be described. Note that the present disclosure is not limited to the embodiments.

[0012] 1 is a diagram showing a schematic configuration of a power management system 1 according to an embodiment. The power management system 1 is configured with a management server 10, a plurality of electric vehicles 20A, 20B, and 20C, a plurality of charging facilities 30A, 30B, and 30C, a disaster information management device 40, and a network NW, which are provided within a management area 100.

[0013] In the following description, when there is no particular distinction between the electric vehicles 20A, 20B, and 20C, they will simply be referred to as electric vehicle 20. When there is no particular distinction between the charging facilities 30A, 30B, and 30C, they will simply be referred to as charging facilities 30. For ease of description, FIG. 1 shows only three electric vehicles 20A, 20B, and 20C and three charging facilities 30A, 30B, and 30C, but the numbers of the electric vehicles 20 and the charging facilities 30 provided within the management area 100 are not particularly limited.

[0014] The power management system 1, for example, manages the supply of power from multiple charging facilities 30A, 30B, 30C to multiple electric vehicles 20A, 20B, 20C using a management server 10 based on a power supply and demand operation plan that manages the power for charging multiple electric vehicles 20A, 20B, 20C using multiple charging facilities 30A, 30B, 30C.

[0015] The management server 10, the plurality of electric vehicles 20A, 20B, 20C, the plurality of charging facilities 30A, 30B, 30C, and the disaster information management device 40 are configured to be able to communicate with each other via a network NW.

[0016] 2 is a diagram showing a schematic configuration of the management server 10. The management server 10 includes a server control device 11, a storage device 12, a communication device 13, and the like.

[0017] The server control device 11 includes a processor including a CPU (Central Processing Unit), a DSP (Digital Signal Processor), an FPGA (Field-Programmable Gate Array), etc., and a memory including a RAM (Random Access Memory), a ROM (Read Only Memory), etc. The server control device 11 loads a program stored in the storage device 12 into a working area of ​​the memory, executes it, and realizes a function that meets a predetermined purpose by controlling each component through the execution of the program.

[0018] The storage device 12 is composed of recording media such as an EPROM (Erasable Programmable ROM), a hard disk drive (HDD), and a removable medium. Examples of removable media include optical disks (CD (Compact Disc)-R or CD-ROM, DVD (Digital Versatile Disc)-R or DVD-ROM, BD (Blu-ray (registered trademark) Disc), etc.), flash memories (USB (Universal Serial Bus) memories, memory cards, etc.). The storage device 12 can store an operating system (OS), various programs, various tables, various databases, etc., and stores, for example, a power supply and demand operation plan that manages power for charging a plurality of electric vehicles 20 by a plurality of charging facilities 30 in the management area 100. In addition, the storage device 12 stores an electric vehicle ID, which is unique information for identifying each of the multiple electric vehicles 20A, 20B, and 20C, and a charging facility ID, which is unique information for identifying each of the multiple charging facilities 30A, 30B, and 30C.

[0019] The communication device 13 is composed of, for example, a LAN (Local Area Network) interface board, a wireless communication circuit for wireless communication, etc. The communication device 13 is connected to a network NW such as the Internet, which is a public communication network. The communication device 13 connects to the network NW to realize two-way communication between the server control device 11 and the network NW.

[0020] 3 is a diagram showing a schematic configuration of the electric vehicle 20. The electric vehicle 20 includes a vehicle control device 21, a storage device 22, a communication device 23, a power receiving device 24, and an on-board battery 25. The physical configurations of the vehicle control device 21, the storage device 22, and the communication device 23 are similar to those of the server control device 11, the storage device 12, and the communication device 13 included in the management server 10, for example.

[0021] The power receiving device 24 receives power from the charging facility 30 and supplies the power to the in-vehicle battery 25. The power receiving device 24 may use at least one of the known power receiving methods, such as contact power receiving and non-contact power receiving.

[0022] The on-board battery 25 is formed of a secondary battery such as a nickel-metal hydride battery or a lithium-ion battery, and is charged by power supplied from the charging equipment 30 via the power receiving device 24, and supplies power to a drive device including a motor and an inverter of the electric vehicle 20. Note that a capacitor such as an electric double layer capacitor can also be used as the on-board battery 25.

[0023] 4 is a diagram showing a schematic configuration of the charging facility 30. The charging facility 30 includes a charging control device 31, a storage device 32, a communication device 33, and a power supply device 34. Note that the physical configurations of the charging control device 31, the storage device 32, and the communication device 33 are similar to those of the server control device 11, the storage device 12, and the communication device 13 included in the management server 10, for example.

[0024] The power supply device 34 is connected to a commercial power source such as a power system 50, and supplies power to the power receiving device 24 provided in the electric vehicle 20. Note that as the power supply method of the power supply device 34, for example, at least one of a known power supply method of contact power supply and a contactless power supply can be adopted.

[0025] 5 is a diagram showing a schematic configuration of the disaster information management device 40. The disaster information management device 40 includes an information control device 41, a storage device 42, and a communication device 43. Note that the physical configurations of the information control device 41, the storage device 42, and the communication device 43 are similar to those of the server control device 11, the storage device 12, and the communication device 13 included in the management server 10, for example.

[0026] The disaster information management device 40 is, for example, a device that outputs disaster information related to the management area 100 to the management server 10 via the network NW. The information control device 41 acquires information related to disasters such as heavy rain, floods, typhoons, and earthquakes (hereinafter also referred to as disaster information) from, for example, public or private organizations that issue weather forecasts, or national or local disaster prevention centers, and stores the information in a storage device 42. Then, the information control device 41 outputs the disaster information stored in the storage device 42 to the management server 10 via a communication device 43. Note that the disaster information also includes the predicted time of occurrence of future disasters.

[0027] Returning to FIG. 1, the power system 50 is, for example, a power network configured from power plants and power transmission and distribution facilities provided by an electric utility company or the like.

[0028] The power generation equipment 60 is configured, for example, by a fuel cell that generates power using hydrogen supplied from a hydrogen supply source. Note that the power generation equipment 60 may be configured to generate power using a rotating electric machine by operating an internal combustion engine using a liquid fuel such as petroleum fuel or alcohol. The power generated by the power generation equipment 60 is supplied to the charging equipment 30, the power storage equipment 70, etc. via a power cable or the like.

[0029] The power storage equipment 70 includes a secondary battery such as a lithium ion battery or a nickel metal hydride battery. A capacitor such as an electric double layer capacitor can also be used for the power storage equipment 70. The power storage equipment 70 can store electric power supplied from the power grid 50 or the power generation equipment 60, and can discharge the electric power to the charging equipment 30.

[0030] Here, when an electric vehicle 20 charges an on-board battery 25 at multiple charging facilities 30 scattered within a managed area 100, there is a risk that the vehicle 20 will have to search around for an available charging facility 30 depending on the usage status of each of the multiple charging facilities 30. Furthermore, when the total charging demand by the multiple electric vehicles 20 within the managed area 100 is large, there is a risk that the charging plan will fail.

[0031] Therefore, in the power management system 1 according to the embodiment, the server control device 11 of the management server 10 calculates an expected value of the charging power for each of the multiple electric vehicles 20 based on State Of Charge (SOC) information, which is information on the remaining capacity of the on-board batteries 25 of each of the multiple electric vehicles 20, and a charging request signal, and calculates a total charging demand by integrating the calculated expected values ​​for the multiple electric vehicles 20 in the management area 100. Then, the management server 10 creates a power supply and demand operation plan based on the calculated total charging demand. At this time, the server control device 11 creates the power supply and demand operation plan so as to reflect the total charging demand in the power generation plan by the power generation facility 60, the power storage plan by the power storage facility 70, or the power purchase plan from the power grid 50.

[0032] 6 is a diagram showing a control routine executed by the vehicle control device 21 of the electric vehicle 20. This control routine is executed, for example, at one-second intervals.

[0033] First, in step S1, the vehicle control device 21 calculates the SOC of the vehicle-mounted battery 25. Next, in step S2, the vehicle control device 21 determines whether or not there is a charging request from the driver. When the vehicle control device 21 determines that there is a charging request from the driver (Yes in step S2), the vehicle control device 21 turns on a charging request signal in step S3. Next, in step S4, the vehicle control device 21 determines whether or not the charging of the vehicle-mounted battery 25 is completed by charging the vehicle-mounted battery 25 in the charging facility 30. When the vehicle control device 21 determines that the charging of the vehicle-mounted battery 25 is completed (Yes in step S4), the vehicle control device 21 turns off the charging request signal in step S5. Next, in step S6, the vehicle control device 21 outputs a signal of SOC information and a charging request signal (OFF) to the management server 10 via the network NW or the like by the communication device 23. Then, the vehicle control device 21 ends this control routine.

[0034] Furthermore, in step S4, if the vehicle control device 21 determines that charging of the in-vehicle battery 25 is not being performed by the charging facility 30 and that charging of the in-vehicle battery 25 is not complete (No in step S4), in step S6, the communication device 23 outputs a signal of SOC information and a charging request signal (ON) to the management server 10 via the network NW, etc. Then, the vehicle control device 21 ends this control routine.

[0035] Furthermore, if it is determined in step S2 that there is no charge request from the driver (No in step S2), the charge request signal is turned OFF in step S5. Next, in step S6, the vehicle control device 21 outputs a signal of SOC information and a charge request signal (OFF) to the management server 10 via the network NW or the like using the communication device 23. Then, the vehicle control device 21 ends this control routine.

[0036] FIG. 7 is a diagram showing a calculation control routine for a power demand and supply operation plan executed by the server control device 11 of the management server 10. As shown in FIG.

[0037] First, in step S11, the server control device 11 acquires SOC information and a charge request signal of the electric vehicle 20. Next, in step S12, the server control device 11 determines whether the charge request signal is ON or not. If the server control device 11 determines that the charge request signal is ON (Yes in step S12), in step S13, the server control device 11 calculates the charge probability to be 1. Then, the server control device 11 proceeds to step S15. On the other hand, if the server control device 11 determines that the charge request signal is not ON (No in step S12), in step S14, the server control device 11 calculates the charge probability based on a charge probability map that is stored in the storage device 12 of the management server 10 and that represents the relationship between the SOC and the charge probability, in which the charge probability is determined according to the SOC of the electric vehicle 20. Then, the server control device 11 proceeds to step S15.

[0038] Next, in step S15, the server control device 11 calculates a charging expectation value, which is an expectation value indicating how much charging power the electric vehicle 20 needs to charge the on-board battery 25. The charging expectation value can be calculated, for example, by the formula: charging expectation value=(100[%]-SOC[%]) / 100×charging probability×charging capacity of the on-board battery [kWh]). Next, in step S16, the server control device 11 calculates the total demand for charging power (total charging demand) by integrating the charging expectation values ​​of each of the electric vehicles 20 in the management area 100. Next, in step S17, the server control device 11 performs a calculation to create a power supply and demand operation plan based on the calculated total demand for charging power (total charging demand) so that the total demand for charging power (total charging demand) is reflected in a power generation plan, a power storage plan, or a power purchase plan that takes into account the amount of CO2 emissions, costs, and the like. Then, the server control device 11 ends this control routine.

[0039] As a result, in the power management system 1 of the embodiment, the total demand for charging power (total charging demand) of the multiple electric vehicles 20 within the management area 100 is calculated in advance, and a power supply and demand operation plan is calculated based on the calculated total demand for charging power (total charging demand), thereby preventing the power supply and demand operation plan from collapsing when the charging demand of the multiple electric vehicles 20 is high.

[0040] Furthermore, in the power management system 1 according to the embodiment, the server control device 11 selects a recommended charging facility 30 from the multiple charging facilities 30. For example, the server control device 11 selects a recommended charging facility 30 from the multiple charging facilities 30 based on the expected charging values ​​of each of the multiple electric vehicles 20 and the charging methods of the multiple electric vehicles 20. Then, the server control device 11 outputs a signal of information related to the recommended charging facility 30 to at least one of an in-vehicle information terminal 26 such as a car navigation system mounted on the electric vehicle 20 and a mobile information terminal such as a smartphone owned by the driver of the electric vehicle 20.

[0041] FIG. 8 is a diagram showing a selection control routine for recommended charging facilities that is executed by the server control device 11 of the management server 10. As shown in FIG.

[0042] First, in step S21, the server control device 11 selects and allocates a charging facility 30 recommended for the electric vehicle 20 based on information about the electric vehicle 20 and an expected charging value of the electric vehicle 20. Next, in step S22, the server control device 11 updates the planned use information of the allocated charging facility 30 in the power supply and demand operation plan. The planned use information is, for example, the start time of use and the expected end time of use. Next, in step S23, the server control device 11 outputs a signal of information about the allocated charging facility 30 to at least one of the mobile information terminal owned by the driver of the electric vehicle 20 and the mobile information terminal.

[0043] This allows the user of the electric vehicle 20 to know in advance the charging facility 30 that is recommended for charging the on-board battery 25 of the electric vehicle 20. This makes it possible to prevent the user from having to search around for an available charging facility 30 when charging the on-board battery 25 of the electric vehicle 20 at multiple charging facilities 30 scattered within the managed area 100.

[0044] FIG. 9 is a diagram showing a control routine for the charging probability map in the event of a disaster, which is executed by the server control device 11 of the management server 10. As shown in FIG.

[0045] First, in step S31, the server control device 11 judges whether or not the management area 100 is experiencing a disaster based on the disaster information from the disaster information management device 40. When the server control device 11 judges that the management area 100 is experiencing a disaster (Yes in step S31), the server control device 11 inflates the charging probability map value (charging probability for each SOC) stored in the storage device 12 of the management server 10 in step S32. Then, the server control device 11 ends this control routine. On the other hand, when the server control device 11 judges that the management area 100 is not experiencing a disaster (No in step S31), the server control device 11 acquires information on the electric vehicle 20 for the past one week from the electric vehicle 20 and accumulates it in the storage device 12 in step S33. Next, in step S34, the server control device 11 calculates the charging probability for each SOC (for example, for each 10[%] SOC). Next, in step S35, the server control device 11 learns the charging probability map. In learning the charging probability map, for example, the server control device 11 updates the charging probability map value by calculating the formula: charging probability map value=charging probability×(1 / n)+current charging probability map value×n for each SOC. Note that n in the formula is a rounded value, and can be, for example, n=10. Then, after learning the charging probability map, the server control device 11 ends this control routine.

[0046] As a result, in the power management system 1 according to the embodiment, during a disaster when the charging demand for electric vehicles 20 is predicted to be higher than in peacetime, the charging probability can be set higher than in peacetime to calculate a power supply and demand operation plan, thereby preventing the power supply and demand operation plan from failing.

[0047] Further advantages and modifications can be readily derived by those skilled in the art. The disclosure in its broader aspects is not limited to the specific details and representative embodiments shown and described above. Thus, various modifications may be made without departing from the spirit or scope of the general disclosed concept as defined by the appended claims and equivalents thereof. [Explanation of symbols]

[0048] 1. Power Management System 10 Management Server 11 Server control device 12,22,32,42 Storage device 13,23,33,43 Communication equipment 20, 20A, 20B, 20C Electric vehicles 21 Vehicle control device 24 Power receiving device 25 Vehicle Battery 26 In-vehicle information terminal 30,30A,30B,30C charging equipment 31 Charging control device 34 Power supply device 40 Disaster information management device 41 Information control equipment 50 Power system 60 Power generation facilities 70 Energy storage facilities 100 Controlled Area

Claims

1. a processor that performs a calculation to calculate a total charging demand based on SOC information and a charging request signal of each of a plurality of electric vehicles, and to create a power supply and demand operation plan that manages power for charging the electric vehicles by a charging facility based on the calculated total charging demand; A control device, The processor, calculating an expected value of charging power for the electric vehicles based on the SOC information and the charging request signal, and calculating the total charging demand by integrating the calculated expected value for the plurality of electric vehicles; The processor, A charging probability, which is a probability representing a possibility that the electric vehicle will be charged according to an SOC and is used when calculating the expected value, is set to be higher during a disaster than during normal times. Control device.

2. The processor, A calculation is performed to create the power supply and demand operation plan so that the total charging demand is reflected in a power generation plan, a power storage plan, or a power purchase plan. The control device according to claim 1 .

3. The processor, selecting the charging equipment recommended for each of the plurality of electric vehicles; The control device according to claim 1 or 2.

4. The processor, outputting a signal of information regarding the recommended charging facility to at least one of an in-vehicle information terminal mounted on the electric vehicle and a portable information terminal carried by a driver of the electric vehicle; The control device according to claim 3.

5. The processor, Update the usage schedule information of the recommended charging equipment. The control device according to claim 3 or 4.

6. calculating a total charging demand based on SOC information and a charging request signal of each of a plurality of electric vehicles, and causing a processor to execute a calculation to create a power supply and demand operation plan for managing power for charging the electric vehicles by the charging equipment based on the calculated total charging demand; A program, The processor, Executing control to calculate an expected value of charging power for the electric vehicles based on the SOC information and the charging request signal, and calculating the total charging demand by integrating the calculated expected value for the plurality of electric vehicles; The processor, Execute control to set a charging probability, which is a probability representing a possibility that the electric vehicle will perform charging according to an SOC and is used when calculating the expected value, higher than normal during a disaster. program.

7. The processor, Executing a calculation to create the power supply and demand operation plan so as to reflect the total charging demand in a power generation plan, a power storage plan, or a power purchase plan. The program according to claim 6.

8. The processor, executing control to select the charging facility recommended for each of the plurality of electric vehicles; The program according to claim 6 or 7.

9. The processor, execute control to output a signal of information regarding the recommended charging facility to at least one of an in-vehicle information terminal mounted on the electric vehicle and a mobile information terminal owned by a driver of the electric vehicle; The program according to claim 8.

10. The processor, Execute control to update usage schedule information of the recommended charging facility.

10. The program according to claim 8 or 9.

11. an electric vehicle having a first processor that outputs SOC information and a charge request signal; a control device having a second processor that performs a calculation to calculate a total charging demand based on the SOC information and the charging request signal of each of a plurality of electric vehicles, and to create a power supply and demand operation plan that manages power for charging the electric vehicles by a charging facility based on the calculated total charging demand; A power management system comprising: The second processor comprises: calculating an expected value of charging power for the electric vehicles based on the SOC information and the charging request signal, and calculating the total charging demand by integrating the calculated expected value for the plurality of electric vehicles; The second processor comprises: A charging probability, which is a probability representing a possibility that the electric vehicle will be charged according to an SOC and is used when calculating the expected value, is set to be higher during a disaster than during normal times. Power management system.

12. The second processor comprises: A calculation is performed to create the power supply and demand operation plan so that the total charging demand is reflected in a power generation plan, a power storage plan, or a power purchase plan. The power management system of claim 11.

13. The second processor comprises: selecting the charging equipment recommended for each of the plurality of electric vehicles; The power management system according to claim 11 or 12.

14. The second processor comprises: outputting a signal of information regarding the recommended charging facility to at least one of an in-vehicle information terminal mounted on the electric vehicle and a portable information terminal carried by a driver of the electric vehicle; The power management system of claim 13.

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