Electric vehicle charging management device, electric vehicle charging management method, and program
The system optimizes electric vehicle charging by distributing charging times based on driving schedules to prevent power usage peaks, ensuring vehicle availability and cost-effective energy management.
Patent Information
- Application Number
- JP2024543664
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-08-30
- Publication Date
- 2025-11-28
- Estimated Expiration
- 2042-08-30
AI Technical Summary
The increasing number of electric vehicles and their utilization can lead to concentrated charging, resulting in higher electricity demand and potential exceedance of contracted electricity amounts, which can increase costs and strain the power grid.
A system that manages electric vehicle charging by analyzing driving schedules and charging performance to distribute charging times, identifying peak usage periods, and adjusting the charging of selected vehicles to spread out energy consumption.
Prevents power usage concentration, ensuring the availability of electric vehicles while optimizing energy usage and avoiding excess electricity costs.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present invention relates to technology for managing the charging of electrically powered devices and equipment, including electrically powered vehicles. Electric vehicles include so-called EVs (Electric Vehicles), particularly BEVs (Battery Electric Vehicles), as well as PHVs (Plug-in Hybrid Vehicles), and refer to vehicles that can be charged from an external power source. [Background technology]
[0002] Electric vehicles are becoming more popular in response to environmental issues and other factors. Electric vehicles require charging from an external power source. Furthermore, to operate electric vehicles efficiently, planned charging is required. This becomes increasingly important, especially for transportation companies such as delivery companies and taxi companies, rental car companies, and apartment complexes that handle multiple electric vehicles.
[0003] A charging management technology that improves the utilization rate of electric vehicles is proposed in Patent Document 1. Patent Document 1 discloses that "a vehicle management system that provides a vehicle rental service manages the use and charging of electric vehicles 70 to 90 shared by multiple users. The rental vehicles are electric vehicles powered by storage batteries, and their operation is controlled by an ECU. The rental vehicles are parked in waiting areas for rental and return. The vehicle management system accepts a reservation by a reservation reception unit 11 when the usage time period corresponding to the reservation is within a charging time period set in the schedule information, and when the usage purpose is for non-driving purposes." [Prior art documents] [Patent documents]
[0004] [Patent Document 1] Japanese Patent Publication No. 2022-22702 Summary of the Invention [Problem to be solved by the invention]
[0005] If the number of electric vehicles increases or their utilization rate improves, the amount of electricity required will naturally increase. In this case, electricity charges will naturally increase. In addition, a contracted amount of electricity is generally set. Therefore, there is a risk that the contracted amount of electricity will be exceeded during times when charging is concentrated.
[0006] However, in Patent Document 1, charging is performed at a reserved time, and an increase in the amount of power used cannot be prevented. In particular, if the reserved charging times are concentrated, there is a risk that the amount of power used at the reserved times will increase.
[0007] Therefore, an object of the present invention is to ensure the availability of electric vehicles while suppressing the concentration of charging, that is, the amount of power used. [Means for solving the problem]
[0008] In order to solve the above problem, the present invention aims to prevent the concentration of peaks in power usage for each time period by changing charging during at least some of the time periods during which the power usage is at its maximum.
[0009] More specifically, the electric vehicle charging management device manages the charging of a plurality of electric vehicles, and includes an input unit that receives driving course information indicating driving schedules of the plurality of electric vehicles, vehicle information indicating charging performance of the plurality of electric vehicles, and charging equipment information indicating charging performance of charging equipment that charges the plurality of electric vehicles; a charging time zone information creation unit that calculates an actual charging amount for each of the plurality of electric vehicles using the driving course information and the vehicle information, calculates an actual charging time for the plurality of electric vehicles using the actual charging amount and the charging equipment information, and creates charging time zone information indicating a charging schedule for each of the plurality of electric vehicles based on the actual charging time; an energy usage calculation unit that calculates energy usage information by time zone that indicates the amount of energy usage in a predetermined management unit including the actual charging amount in each of a plurality of time zones, based on the charging time zone information; and a charging time zone information change unit that identifies a maximum time zone that is a time zone with the highest energy usage among the amounts of energy usage, selects an electric vehicle from the plurality of electric vehicles whose charging during the maximum time zone is to be changed, and changes the charging of the selected electric vehicle during the maximum time zone, thereby changing the charging of the selected electric vehicle that is to be changed.
[0010] The present invention also includes an electric vehicle charging management method using the electric vehicle charging management device, a program for causing a computer to function as the electric vehicle charging management device, and a storage medium for storing this program. [Effects of the Invention]
[0011] According to the present invention, it is possible to prevent the concentration of power usage, including charging, from occurring. [Brief explanation of the drawings]
[0012] [Figure 1] 1 is a system configuration diagram according to an embodiment of the present invention. [Figure 2] 1 is a functional block diagram of a vehicle management system according to an embodiment of the present invention. [Figure 3] 1 is a hardware configuration diagram of an electric vehicle charging management device according to an embodiment of the present invention. [Figure 4] FIG. 10 is a diagram showing delivery route information used in one embodiment of the present invention. [Figure 5] FIG. 10 is a diagram showing delivery power fluctuation information used in one embodiment of the present invention. [Figure 6] FIG. 2 is a diagram showing vehicle information used in one embodiment of the present invention. [Figure 7] FIG. 4 is a diagram showing charging facility information used in one embodiment of the present invention. [Figure 8] FIG. 2 is a diagram showing vehicle / delivery route allocation information used in an embodiment of the present invention. [Figure 9] FIG. 10 is a diagram showing vehicle and delivery power fluctuation information used in one embodiment of the present invention. [Figure 10] FIG. 10 is a diagram showing charging time zone information used in one embodiment of the present invention. [Figure 11] FIG. 4 is a diagram showing time-of-day-based power usage information used in one embodiment of the present invention. [Figure 12] 1 is a flowchart showing a processing flow according to an embodiment of the present invention. [Figure 13] 10 is a flowchart showing details of charging time zone information creation processing, power usage amount calculation processing, and charging time zone information change processing in one embodiment of the present invention. [Figure 14A] FIG. 4 is a diagram showing the amount of power used for each time period before a charging shift (movement) in one embodiment of the present invention. [Figure 14B] FIG. 4 is a diagram showing the amount of power used for each time period after a charging shift (movement) in one embodiment of the present invention. [Figure 15] FIG. 2 is a diagram showing an example of a display screen according to an embodiment of the present invention. [Figure 16] 10 is a flowchart showing details of an update process according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION
[0013] An embodiment of the present invention will be described below. In this embodiment, the subject is charging of electric vehicles (hereinafter referred to as EVs) employed by a delivery company, which is a type of transportation company. The delivery company owns multiple EVs and has multiple delivery bases. Furthermore, the delivery company installs charging equipment at delivery bases or charging bases such as charging stations, and charges the EVs. In other words, the delivery bases can be used as charging bases. Based on the above assumptions, this embodiment realizes management of charging of each EV.
[0014] <Configuration> 1 is a system configuration diagram of this embodiment, in which a vehicle management system 1, a group of administrator terminals 2, and charging stations 3-1 and 3-2 are connected via a network 5.
[0015] First, the vehicle management system 1 is a system that realizes charging management for EVs. For this purpose, the vehicle management system 1 has an electric vehicle charging management device 10, a delivery management device 100, and a database 1000, and can be realized as a computer system installed in a so-called data center.
[0016] Here, the electric vehicle charging management device 10 creates and modifies charging time zone information that indicates a charging schedule for an EV. The electric vehicle charging management device 10 also manages the creation, updating, etc. of various information used in each of these processes. The delivery management device 100 also executes information processing for managing the delivery work itself, such as creating a delivery schedule. Furthermore, the database 1000 stores various information used by the electric vehicle charging management device 10 and the delivery management device 100. The vehicle management system 1 will be described in detail below.
[0017] Fig. 2 is a functional block diagram of the vehicle management system 1 in this embodiment. In Fig. 2, the electric vehicle charging management device 10, the delivery management device 100, and the database 1000 are connected to one another via communication paths. However, the vehicle management system 1 is not limited to this configuration. For example, the electric vehicle charging management device 10 and the delivery management device 100 may be configured as an integrated unit, or the information stored in the database 1000 may be stored in an internal storage device of the electric vehicle charging management device 10 or the delivery management device 100. Each device will be described below.
[0018] First, the electric vehicle charging management device 10 has an input unit 11, a charging time zone determination unit 12, a management unit 13, and an output unit 14. The input unit 11 receives information used by the electric vehicle charging management device 10 and various instructions.
[0019] Furthermore, the charging time zone determination unit 12 creates and modifies charging time zone information that indicates a charging schedule. To this end, the charging time zone determination unit 12 has a charging time zone information creation unit 121, an energy usage calculation unit 122, and a charging time zone information change unit 123. The charging time zone information creation unit 121 creates charging time zone information based on the EV operation schedule, etc. The energy usage calculation unit 122 calculates the energy usage for each time zone based on the created charging time zone information. Furthermore, the charging time zone information change unit 123 corrects or modifies the created charging time zone information based on the calculated energy usage. At this time, the charging time zone information change unit 123 changes the charging time zone information to prevent concentration of energy usage, particularly to level out the amount of energy usage. The processing by the charging time zone information creation unit 121, the energy usage calculation unit 122, and the charging time zone information change unit 123 can also be expressed as creating and confirming charging time zone information.
[0020] The management unit 13 also manages the creation, updating, etc. of various information used by the charging time slot determination unit 12. It also outputs the processing results, etc., of the charging time slot determination unit 12. The processing of the charging time slot determination unit 12 and the management unit 13 is the main processing of this embodiment, and the details thereof will be described later.
[0021] The delivery management device 100 also executes information processing for managing the delivery operations themselves, such as creating delivery schedules. To this end, the delivery management device 100 has an input unit 101, a vehicle / delivery route allocation unit 102, and an output unit 103. The input unit 101, like the input unit 11, accepts information and various instructions used by the delivery management device 100.
[0022] The vehicle / delivery route allocation unit 102 also creates vehicle / delivery route allocation information indicating a delivery schedule in accordance with the order information and the like received by the input unit 101. Furthermore, the vehicle / delivery route allocation unit 102 may create delivery instructions for each driver in accordance with the vehicle / delivery route allocation information. The output unit 103 also outputs the vehicle / delivery route allocation information itself and delivery instructions corresponding to the information.
[0023] Furthermore, database 1000 is a storage device that stores various types of information handled by vehicle management system 1. Specifically, database 1000 stores delivery route information 1001, delivery power fluctuation information 1002, vehicle information 1003, charging equipment information 1004, vehicle / delivery route allocation information 1005, vehicle / delivery power fluctuation information 1006, charging time period information 1007, and time period-specific energy usage information 1008. Each of these pieces of information will be described later with reference to FIGS. 4 to 11.
[0024] Here, the electric vehicle charging management device 10 and the delivery management device 100 can be realized by a computer such as a server. One implementation example will be described below. FIG. 3 is a hardware configuration diagram of the electric vehicle charging management device 10 in this embodiment. In FIG. 3, the electric vehicle charging management device 10 has a CPU 110, RAM 120, ROM 130, a communication device 140, a display device 150, an input device 160, a media reading device 170, and an auxiliary storage device 180. Each of these components will be described below.
[0025] First, the CPU 110 (Central Processing Unit) can be realized by a so-called processor, and is a unit that executes various calculations. The CPU 110 executes various processes by executing the charging time slot determination program 181 and the management program 185 that are loaded from the auxiliary storage device 180 to the RAM 120. Note that these various processes correspond to the processes of the charging time slot determination unit 12 and the management unit 13 in Fig. 2, and the details thereof will be described later using flowcharts.
[0026] The RAM 120 (Random Access Memory) is a memory that stores programs executed by the CPU 110, such as the charging time zone determination program 181 and the management program 185, as well as information necessary for executing the programs. The ROM 130 (Read Only Memory) is a memory that stores programs necessary for starting up the electric vehicle charging management device 10, which is a computer.
[0027] The communication device 140 is a device that transmits and receives data to and from external devices. For this purpose, the communication device 140 is connected to the network 5, and can be realized by devices such as a wired LAN, a wireless LAN, a dial-up router, or an infrared communication device. The network 5 is connected to external devices such as the administrator terminal group 2, and can be realized by the Internet or a delivery company's intranet.
[0028] The display device 150 outputs the processing results of the CPU 110, for example. The display device 150 can be realized by, for example, a CRT display, an LCD (Liquid Crystal Display), or an organic EL (Electro Luminescence) display. The input device 160 is a device that accepts operations from a user of the electric vehicle charging management device 10. The input device 160 can be realized by, for example, a keyboard, a mouse, or a microphone. The media reading device 170 can be realized by a device that reads information from a portable storage medium such as a CD-ROM. When the electric vehicle charging management device 10 is realized by a server as in this embodiment, the display device 150, the input device 160, and the media reading device 170 can be omitted.
[0029] The auxiliary storage device 180 can be realized by, for example, a hard disk drive (HDD) or the like, and is a device that stores data and programs for executing various processes. The auxiliary storage device 180 may also be realized by a solid state drive (SSD) that uses a flash memory or the like.
[0030] The auxiliary storage device 180 stores an information group 1100, a charging time slot determination program 181, and a management program 185. Here, the information group 1100 indicates at least one of delivery route information 1001, delivery power fluctuation information 1002, vehicle information 1003, charging equipment information 1004, vehicle / delivery route allocation information 1005, vehicle / delivery power fluctuation information 1006, charging time slot information 1007, and time slot-specific energy usage information 1008. These may be stored in either the database 1000 or the auxiliary storage device 180. Alternatively, the delivery management device 100 may store the information group 1100.
[0031] 2 by the CPU 110. The charging time slot determination program 181 has a charging time slot information creation module 182, an energy usage calculation module 183, and a charging time slot information change module 184. The processing by these modules corresponds to the processing by the charging time slot information creation module 121, the energy usage calculation module 122, and the charging time slot information change module 123. In other words, the processing by the charging time slot determination program 181 corresponds to the processing by the charging time slot determination unit 12. The charging time slot information creation module 182, the energy usage calculation module 183, and the charging time slot information change module 184 may be realized by independent programs. The management program 185 is a program for executing the processing by the management unit 13.
[0032] Here, the charging time slot determination program 181 and the management program 185 are, for example, application programs that can be executed on an OS (Operating System) program. Furthermore, the charging time slot determination program 181 and the management program 185 may be installed in the auxiliary storage device 180 from a portable storage medium via the media reading device 170. In other words, the charging time slot determination program 181 and the management program 185 can be stored in a storage medium. Note that the CPU 110 may execute processing in accordance with a program other than the charging time slot determination program 181 and the management program 185. In this case, it is desirable to store this program in the auxiliary storage device 180.
[0033] The delivery management device 100 also has a similar configuration as shown in FIG. 2, and can employ a configuration in which a program equivalent to the vehicle / delivery route allocation unit 102 is stored.
[0034] This concludes the explanation of Figure 3, and we will continue with the explanation of Figure 1. In Figure 1, the manager terminal group 2 is a terminal device used by employees of the delivery company, and can be realized by a computer that executes information processing to support delivery operations. The manager terminal group 2 can manage delivery schedules, sales, labor, etc. In particular, in this embodiment, the manager terminal group 2 receives instructions to the electric vehicle charging management device 10 and the delivery management device 100, and outputs the processing results. Note that the manager terminal group 2 may be provided with the functions of the electric vehicle charging management device 10 or the delivery management device 100. In this case, the electric vehicle charging management device 10 or the delivery management device 100 can be omitted.
[0035] Charging stations 3-1 and 3-2 are each provided with charging facilities. Specifically, charging control devices 31-1 and 31-2 and charging devices 34-1 and 34-2 are provided. Furthermore, station terminals 32-1 and 32-2 and tablets 33-1 and 33-2 are also used at charging stations 3-1 and 3-2. Here, charging control devices 31-1 and 31-2 receive charging time zone information for the corresponding charging station 3-1 or 3-2 from electric vehicle charging management device 10 and execute charging processing accordingly. This charging processing includes charging control, charging preparation, and output of a charging schedule to station terminals 32-1 and 32-2 and tablets 33-1 and 33-2. In this way, station terminals 32-1 and 32-2 and tablets 33-1 and 33-2 are used by drivers of EVs 40-1 to 40-4 and employees at the charging stations to perform home delivery services. The charging points 3-1 and 3-2 may be delivery points as described above, or may be dedicated charging points such as charging stations.
[0036] Charging devices 34-1 and 34-2 charge EVs 40-1 to 40-4 in response to processing by charging control devices 31-1 and 31-2, base terminals 32-1 and 32-2, and tablets 33-1 and 33-2, and in response to operations by operators.
[0037] Furthermore, it is desirable that the charging control devices 31-1 and 31-2 detect the amounts of charge (actual measured values) of the EVs 40-1 to 40-4. Then, the charging control devices 31-1 and 31-2, or the base terminals 32-1 and 32-2, or the tablets 33-1 and 33-2 notify the electric vehicle charging management device 10 of this information. For this reason, the base terminals 32-1 and 32-2 and the tablets 33-1 and 33-2 can be connected to the network 5. To realize these functions, the base terminals 32-1 and 32-2 and the tablets 33-1 and 33-2 can be realized by computers. Furthermore, the base terminals 32-1 and 32-2, the tablets 33-1 and 33-2, and the charging control devices 31-1 and 31-2 may be provided with the functions of the electric vehicle charging management device 10 or the delivery management device 100. In this case, the electric vehicle charging management device 10 or the delivery management device 100 can be omitted. Furthermore, EVs 40-1 to 40-4 may be provided with on-board terminals that execute the functions of base terminals 32-1 and 32-2 and tablets 33-1 and 33-2. Also, charging device 34 may execute the functions of base terminals 32-1 and 32-2 and tablets 33-1 and 33-2.
[0038] This concludes the description of the configuration of this embodiment, but the numbers of charging stations 3-1, 3-2 and charging devices 34-1 to 34-4 are not limited to those shown in the figure. Furthermore, hereinafter, for configurations with sub-numbers such as charging stations 3-1, 3-2, etc., the sub-numbers (after "-") will be omitted when it is not necessary to distinguish between individual devices.
[0039] <Information> Next, each piece of information used in this embodiment will be described. First, FIG. 4 is a diagram showing delivery route information 1001 used in this embodiment. Delivery route information 1001 is information that indicates the delivery schedule for home delivery and the amount of power consumption required for the delivery. Therefore, for example, as shown in FIG. 4, delivery route information 1001 has the following fields: delivery route name, delivery start date and time, delivery completion date and time, and power consumption amount. The delivery route name is a field that identifies the delivery route that indicates the unit of delivery. Furthermore, the delivery start date and time and delivery completion date and time are fields that indicate the scheduled date and time of the start and end of delivery, respectively. Furthermore, the power consumption amount indicates the amount of power consumption required by the EV on the corresponding delivery route.
[0040] In this embodiment, since the target is a delivery company, delivery route information 1001 is used. Therefore, the delivery route information 1001 is merely an example of driving route information indicating the driving schedule of an EV. Furthermore, the present invention can also be applied to devices and equipment other than EVs. Therefore, the driving route information is an example of equipment operation information indicating the operation schedule of the device and equipment.
[0041] FIG. 5 is a diagram showing delivery power fluctuation information 1002 used in this embodiment. The delivery power fluctuation information 1002 is information related to fluctuations in charging for each delivery route. For example, as shown in FIG. 5, the delivery power fluctuation information 1002 has the following fields: delivery route name, reason for fluctuation, charging priority, and power fluctuation rate. The delivery route name is a field that identifies the delivery route, which indicates the unit of delivery. The reason for fluctuation indicates the reason for fluctuations in the amount of power usage required for the delivery route in question. For example, "temperature fluctuation" in the first record means that rising temperatures increase the load on the air conditioner or the load on the EV battery. Note that multiple reasons for fluctuations are allowed for a single delivery route.
[0042] Furthermore, the charging priority indicates the priority of charging when a corresponding reason for fluctuation occurs. That is, in the example of FIG. 5, the priority when a "temperature fluctuation" occurs is lower than the priority when a "route change" occurs. However, the charging priority may be set for each delivery route regardless of the reason for fluctuation. Furthermore, the power fluctuation rate indicates the rate of fluctuation in the amount of power usage that occurs when a corresponding reason for fluctuation occurs. This rate indicates the rate of fluctuation, particularly the rate of increase, relative to the amount of power usage in the delivery route information 1001.
[0043] In this embodiment, since the target is a delivery company, delivery power fluctuation information 1002 is used. Therefore, delivery power fluctuation information 1002 is merely an example of traveling power fluctuation information that indicates information regarding fluctuations in charging for each EV traveling route. The traveling power fluctuation information is also an example of operating power fluctuation information related to fluctuations in charging for each delivery route of equipment and facilities.
[0044] FIG. 6 is a diagram showing vehicle information 1003 used in this embodiment. Vehicle information 1003 is information indicating charging performance for each EV. Therefore, for example, as shown in FIG. 6, vehicle information 1003 has the following fields: vehicle name, battery capacity, and remaining power rate. The vehicle name is an field for identifying the EV. The battery capacity and remaining power rate indicate the battery capacity and remaining amount or remaining power rate of the corresponding EV (vehicle). Note that the present invention can also be applied to devices and equipment other than EVs. Therefore, vehicle information 1003 is merely an example of device information indicating charging performance of devices and equipment, including EVs.
[0045] FIG. 7 is a diagram showing charging facility information 1004 used in this embodiment. The charging facility information 1004 is information indicating the charging performance of each charging facility. For this reason, as shown in FIG. 7, for example, the charging facility information 1004 has fields for the charging device name and the charging speed. The charging device name is information for identifying the charging device that performs charging. The charging speed is information indicating the charging speed of the corresponding charging device. Note that in this example, charging devices are used as charging facilities, but the information may also include the charging control device, or may be information for each charging station 3-1, 3-2.
[0046] 8 is a diagram showing vehicle / delivery route allocation information 1005 used in this embodiment. The vehicle / delivery route allocation information 1005 is information about EVs used on delivery routes and their power consumption. For example, as shown in FIG. 8, the vehicle / delivery route allocation information 1005 has fields for the delivery route name, vehicle name, amount of power used, and required charging amount.
[0047] Here, the delivery route name is an item that identifies the delivery route. The vehicle name identifies the EV that will make the delivery along the delivery route. The power usage amount indicates the amount of power required by the EV along the delivery route. The required charge amount indicates the amount of charge required by the EV to make the delivery along the delivery route.
[0048] In this embodiment, since the target is a delivery company, vehicle and delivery route allocation information 1005 is used. Therefore, vehicle and delivery route allocation information 1005 is merely one example of vehicle and driving route allocation information related to EVs used on driving routes and their power consumption. The present invention can also be applied to devices and facilities other than EVs. Therefore, the vehicle and driving route allocation information is an example of device and operation allocation information related to the power consumed in the operation of devices and facilities, including EVs.
[0049] FIG. 9 is a diagram showing vehicle and delivery power fluctuation information 1006 used in this embodiment. The vehicle and delivery power fluctuation information 1006 is information related to fluctuations in charging for each EV and delivery route. For example, as shown in FIG. 9, the vehicle and delivery power fluctuation information 1006 has the following fields: vehicle name, delivery route name, reason for fluctuation, charging priority, and required charge amount. The vehicle name is a field for identifying the EV. The delivery route name is a field for identifying the delivery route of the EV. The reason for fluctuation indicates the reason for fluctuation in the amount of power usage required by the EV on the delivery route. Note that multiple reasons for fluctuation are allowed for one delivery route. The charging priority indicates the priority of charging when the reason for fluctuation occurs. The required charge amount indicates the amount of charge required by the EV to make delivery on the delivery route.
[0050] In this embodiment, since the target is a delivery company, vehicle and delivery power fluctuation information 1006 is used. Therefore, vehicle and delivery power fluctuation information 1006 is merely one example of vehicle and running power fluctuation information relating to fluctuations in charging for each EV and delivery route. The present invention can also be applied to devices and facilities other than EVs. Therefore, vehicle and running power fluctuation information is an example of device and operating power fluctuation information relating to power relating to fluctuations in charging for the operation of devices and facilities, including EVs.
[0051] FIG. 10 is a diagram showing charging time zone information 1007 used in this embodiment. The charging time zone information 1007 is information indicating the charging schedule for each EV. Therefore, for example, as shown in FIG. 10, the charging time zone information 1007 has the following fields for each charge (unit): charging device name, vehicle name, charging start date and time, charging end date and time, required charge amount, and charging priority. The charging device name is information that identifies the charging device that will perform the charge. The vehicle name identifies the EV that will be charged in question. The charging start date and time and charging end date and time are fields that indicate the scheduled start and end dates and times of charging, respectively. The required charge amount indicates the amount of charge required for the charge in question, that is, the amount of charge that will be performed. Furthermore, the charging priority indicates the priority level of the charge in question. Note that the purpose of charging, such as next-day delivery, may be recorded as a priority. In this case, if a purpose is recorded, it is desirable to give the corresponding priority the highest priority.
[0052] The present invention can also be applied to devices and facilities other than EVs. The vehicle name may be an item that identifies devices and facilities including EVs. Furthermore, although the charging device is used as the charging facility in this example, the information may include the charging control device, or may be information for each charging station 3-1, 3-2.
[0053] FIG. 11 is a diagram illustrating time-zone-specific energy usage information 1008 used in this embodiment. The time-zone-specific energy usage information 1008 is information indicating the amount of energy usage for each management unit, such as charging equipment (charging device) or charging station, for each time zone. Therefore, for example, as shown in FIG. 11, the time-zone-specific energy usage information 1008 has fields for each charge, such as start date and time, end date and time, charging priority, and energy usage. The start date and time and end date and time are fields that define the range of the time zone during which the corresponding charge is performed. The charging priority indicates the priority level of the corresponding charge. Furthermore, the energy usage indicates the amount of energy used at the charging station for the corresponding charge, such as charging and lighting. Note that, although a record is provided for each charge in this example, a record may also be provided for each time zone. In this case, the energy usage indicates the total amount of energy used for charging and the charging station. This concludes the description of the information used in this embodiment, but at least a portion of this information may be merged to form consolidated information, or may be divided. In particular, when merged, common fields can be shared.
[0054] <Processing flow> Next, the processing flow in this embodiment will be described. In this case, the processing flow will be described using the units in Fig. 2 and the devices in Fig. 1 as the processing subjects. Fig. 12 is a flowchart showing the processing flow in this embodiment.
[0055] First, in step S1, the charging time zone information creation unit 121 creates charging time zone information 1007. Then, in step S2, the power usage calculation unit 122 calculates time zone-specific power usage information 1008 indicating the amount of power usage in a predetermined management unit for each time zone, based on the charging time zone information 1007. Then, in step S3, the charging time zone information change unit 123 changes the charging time zone information 1007 based on the time zone-specific power usage information 1008. Details of steps S1 to S3 will be explained later using FIG. 13.
[0056] Next, in step S4 , the output unit 14 notifies the charge control device 31 of the corresponding management unit, that is, the charging station 3 , of the changed, that is, the confirmed, charging time zone information 1007 .
[0057] In step S5, charging device 34, in response to a control instruction from charging control device 31 or an operation by the operator, charges EV 40 according to the notified charging time period information 1007. Then, charging device 34 actually measures the amount of charge during charging.
[0058] In step S6, the charging device 34 that performed the charging actually measures the amount of charge in step S5 from the output of the charging control device 31. Then, the charging control device 31 records this.
[0059] In step S7, the charge control device 31 notifies the electric vehicle charge management device 10 of the recorded charge amount. The input unit 11 of the electric vehicle charge management device 10 then receives this. In step S8, the management unit 13 uses the received charge amount to determine whether charging for the notified charging time period information 1007 has been completed. If the result is that it has not been completed (No), the process proceeds to step S7. If the result is that it has been completed (Yes), the process proceeds to step S9. In step S8, other conditions may be used, such as the completion of charging for each of the EVs 40-1 to 40-4 or the passage of a predetermined period of time. The vehicle and delivery power fluctuation information 1006 is updated. More specifically, the required charge amount in the vehicle and delivery power fluctuation information 1006 is Then, in step S9, the management unit 13 updates at least one of the delivery route information 1001, the delivery power fluctuation information 1002, and the vehicle information 1003, that is, the information used to create the charging time period information 1007, based on the received charge amount. Details of the update process in step S9 will be described later with reference to FIG. 16.
[0060] Here, steps S1 to S3, that is, the charging time zone information creation process, the power usage calculation process, and the charging time zone information change process, will be described in detail. Fig. 13 is a flowchart showing the charging time zone information creation process, the power usage calculation process, and the charging time zone information change process in this embodiment. Hereinafter, steps S11 to S13 correspond to step S1 in Fig. 12. Furthermore, step S21 corresponds to step S2. Furthermore, steps S31 to S38 correspond to step S3.
[0061] In step S11, the charging time zone information creation unit 121 acquires various information about the EV 40 to be charged, for the charging station 3 that is the management unit, from the database 1000 via the input unit 11. The acquired information is delivery route information 1001 to charging facility information 1004. However, of these, only the delivery route information 1001, vehicle information 1003, and charging facility information 1004 may be acquired.
[0062] In step S12, the charging time zone information creation unit 121 uses the acquired information to calculate the actual charging amount, which is the amount of power used for each vehicle. To do this, first, the charging time zone information creation unit 121 uses the acquired delivery route information 1001 to identify the amount of power used for each delivery route.
[0063] Next, the charging time slot information creation unit 121 allocates the EVs 40 that will perform delivery to the deliveries along each delivery route. To this end, the charging time slot information creation unit 121 can acquire allocation information that associates delivery routes with EVs in cooperation with the delivery management device 100. This allocation information may use the vehicle / delivery route allocation information 1005 itself, or may use the delivery route name and vehicle name from the vehicle / delivery route allocation information 1005. Furthermore, the charging time slot information creation unit 121 may acquire the allocation information from any of the administrator terminal group 2 based on input by the administrator, or the allocation information may be stored in advance in the electric vehicle charging management device 10 or the database 1000. Furthermore, the base terminal 32, tablet terminal 33, or the like may also be used.
[0064] Next, the charging time zone information creation unit 121 identifies the battery capacity and remaining power rate of the allocated EV 40 from the acquired vehicle information 1003. Then, using these, the charging time zone information creation unit 121 calculates the remaining battery power of the allocated EV 40.
[0065] Next, charging time zone information creation unit 121 calculates the difference between the identified amount of power usage and the calculated remaining battery charge. This difference is calculated as the amount of charge required for EV 40, i.e., the actual charge amount to be charged to EV 40.
[0066] The charging time zone information creation unit 121 then compiles the above results and creates vehicle / delivery route allocation information 1005. As a result, the amount of energy used when charging the EVs 40 is calculated. However, when calculating the amount of energy used, it is more desirable to take into account the reasons for fluctuations in the amount of energy used by each EV, or to calculate the amount of energy used according to charging priority. Therefore, the following describes a modified example that takes these factors into consideration.
[0067] First, a process that takes into consideration the reason for fluctuations in the amount of power used will be described. The charging time zone information creation unit 121 identifies delivery power fluctuation information 1002 that corresponds to the delivery route in the acquired delivery route information 1001. Then, the charging time zone information creation unit 121 identifies the reason for fluctuations in the identified delivery power fluctuation information 1002.
[0068] The charging time zone information creation unit 121 also identifies a power fluctuation rate corresponding to the identified reason for fluctuation.The charging time zone information creation unit 121 then uses the identified power fluctuation rate to modify the required charge amount (actual charge amount) of the EV 40.As a result, the required charge amount that reflects fluctuations in weather, etc. is identified.
[0069] Next, calculation by charging priority will be described. The charging time zone information creation unit 121 identifies the delivery power fluctuation information 1002 that corresponds to the delivery route of the acquired delivery route information 1001. Then, the charging time zone information creation unit 121 identifies the charging priority of the identified delivery power fluctuation information 1002.
[0070] Furthermore, the charging time zone information creation unit 121 summarizes the required charging amounts calculated as described above for each identified charging priority. As a result, the required charging amounts are calculated for each level of importance of charging. Note that it is possible to perform both consideration of the reason for fluctuations in the amount of power usage and calculation for each charging priority. This concludes the explanation of step S12.
[0071] Next, in step S13, the charging time period information creation unit 121 determines the actual charging time for charging each EV 40. In other words, one or more time periods for charging are identified. To do this, the charging time period information creation unit 121 identifies the charging device 34 that will charge the EV 40. The charging device 34 may be selected from the charging station 3, which is the delivery station that marks the start of the delivery route, or may be identified using the manager terminal group 2, the base terminal 32, or the tablet terminal 33. The charging time period information creation unit 121 also identifies the delivery start date and time of the delivery route assigned to the EV 40 using the delivery route information 1001. Next, the charging time period information creation unit 121 calculates a charging period that indicates the length of time required to charge the target EV 40 to the required amount of charge (amount of power used) based on the charging speed of the identified charging device 34.
[0072] Then, the charging time zone information creation unit 121 calculates a charging start date and time that will allow charging to be completed by the specified delivery start date and time and ensure the calculated charging time. That is, the calculation is performed as follows: charging start date and time = delivery start date and time - charging period (+α: surplus time). Then, the charging time zone information creation unit 121 adds the charging period to the calculated charging start date and time to calculate the charging end date and time. As a result, an actual charging time is determined in which charging is performed at the charging rate for each unit time from the charging start date and time to the charging end date and time. Note that the unit time zone refers to a predetermined time such as one hour, and more preferably corresponds to the unit time at the charging rate.
[0073] As a result of the above, charging time period information 1007 is created, which indicates a charging schedule for EV 40. In other words, the process of step S1 is executed. Note that the charging priority level in FIG. 10 can be omitted.
[0074] Next, in step S21 The energy usage calculation unit 122 calculates the energy usage for each unit time slot in each actual charging time using the charging time slot information 1007. To do this, the energy usage calculation unit 122 calculates the amount of charge for each unit time slot in each charging device 34 from the charging time slot information 1007. That is, the energy usage calculation unit 122 divides the required charge amount in each record of the charging time slot information 1007 by the number of time slots included in the charging end date and time - charging start date and time. Then, the energy usage calculation unit 122 calculates the sum of the charge amounts for each unit time slot for each charging station 3. This sum becomes the energy usage for each unit time slot. Note that the amount of energy usage for each unit time slot may also include other energy usage such as for lighting at the charging station 3.
[0075] As a result, the power usage calculation unit 122 creates time-of-day power usage information 1008. In this way, the process of step S2 is executed.
[0076] Next, in step S31, the charging time zone information change unit 123 identifies a maximum time zone, which is a unit time zone with the maximum amount of power usage, from the amounts of power usage for each unit time zone calculated in step S21. Note that the maximum amount of power usage may be the highest amount of power usage among a predetermined number of amounts, or may be the amount of power usage that exceeds an amount of power usage threshold, such as the amount of power contracted with an electric power company. In other words, there may be multiple maximum time zones.
[0077] In step S32, the charging time zone information change unit 123 selects an EV with a low charging priority from among the EVs 40 scheduled to be charged during the maximum time zone. Here, low charging priority means that the charging priority is equal to or lower than a predetermined value or has a predetermined content, or is at a predetermined rank such as the lowest.
[0078] In step S33, the charging time zone information change unit 123 determines whether there is an EV 40 that matches the criteria in step S32. This determination means determining whether there is an EV 40 for which the charging can be changed to the maximum time zone. In other words, it means determining whether it is possible to suppress the peak of the maximum time zone = the amount of power usage. If the result of this determination is that there is an applicable EV (Yes), the process proceeds to step S35. In other words, processing for changing the charging is performed. If there is no applicable EV (No), the process proceeds to step S34.
[0079] If the power usage threshold is not exceeded in step S31, step S32 may be skipped and the process may proceed to step S34. Also, if a predetermined condition is met, such as the difference between the maximum power usage and the average value being equal to or less than a predetermined value, the process of step S33 may be omitted. Furthermore, in steps S32 and S33, the charging time zone information change unit 123 selects the EV 40 for which charging during the maximum time zone is to be changed (change-target EV).
[0080] Next, in step S34, the charging time zone information change unit 123 outputs the charging time of the EV, i.e., the charging schedule, via the output unit 14. This may be displayed on the manager terminal group 2, the base terminal 32, or the tablet terminal 33, or may be displayed by the output unit 14 as a display device.
[0081] In step S35, the charging time period information change unit 123 determines whether there is a candidate time period to which charging of the EV 40 identified in step S33 can be shifted. A candidate time period to which charging of the EV 40 can be shifted (moved) is a candidate time period to which charging of the EV 40 can be shifted (moved). The concept of shifting (moving) charging will now be described with reference to FIGS. 14A and 14B.
[0082] First, Fig. 14A is a diagram showing the amount of energy used by time slot before a charging shift (movement) in this embodiment. In Fig. 14A, the amount of energy used by each time slot from 10 PM to 5 AM the following day is shown as a bar graph. The amount of energy used by each time slot is shown as the sum of the energy used by the charging station 3 itself and the amount of energy charged to EVs 40-1 and 40-2 that are to be charged at that charging station 3. In addition, when charging EV 40-1 and EV 40-2, EV 40-2 has a lower charging priority.
[0083] Furthermore, in this example, the maximum time period is a time period that exceeds the contracted amount of energy, which is an example of an energy amount threshold. Therefore, in the example of FIG. 14A, 10 PM and 2 AM are identified as the maximum time periods. These can also be expressed as shift-source time periods. Then, of the charging times at 10 PM and 2 AM, charge C1 and charge C2, which represent the charge amounts of EV 40-2, are identified. The charging time for EV 40-2 is from 10 PM to 2 AM.
[0084] Next, FIG. 14B is a diagram showing the amount of power used by time slot after a charge shift (movement) in this embodiment. For charge C1 and charge C2 identified in FIG. 14A, the amount of power used during charge C1's charge operation time slot (2:00) is large, so this time slot is shifted preferentially. That is, as shown in FIG. 14B, charge C1 is shifted to 3:00, the time slot after the charging end time of EV 40-2 (the shifted time slot). As a result, the charging time of EV 40-2 is changed from 11:00 PM to 3:00 AM. Then, charge C2 is shifted to the shifted time slot after the changed charging time (4:00 AM). As a result, as shown in FIG. 14B, the amount of power used during each time slot can be kept below the contracted amount of power. In this way, peaks in power usage can be suppressed. In this way, in this embodiment, as a change, at least a portion of the charge amount during the maximum time slot is allocated to another time slot.
[0085] This concludes the explanation of the concept of charging shift (movement), and we return to the explanation of step S35 in the flowchart of Figure 13. Examples of criteria for determination in step S35 include whether continuity of the charging time slot can be ensured and / or whether charging can be completed by the delivery start date and time. Details of the determination process using these examples will be explained below.
[0086] First, the charging time zone information change unit 123 identifies the charging time zone for the relevant EV 40, that is, the charging start date and time and the charging end date and time, from the charging time zone information 1007. Next, the charging time zone information change unit 123 identifies the time zones before and after the identified charging time. Next, the charging time zone information change unit 123 determines whether the time zone after the charging time is a time zone before the delivery start date and time, and obtains a first determination result.
[0087] Furthermore, charging time period information change unit 123 determines whether continuity of charging time can be ensured when the charging of EVs 40 in the maximum time period is shifted to a time period before or after the identified charging time. Ensuring continuity here means that if the charging of EVs 40 is shifted to either a time period before or after the identified charging time, there will be a predetermined number or more time periods during which charging is not performed within the charging time. For example, if there is one or more time periods during which charging is not performed, it can be determined that continuity cannot be ensured. Alternatively, it can be determined that continuity cannot be ensured when there are consecutive time periods during which charging is not performed. As a result of the above, a second determination result is obtained.
[0088] Then, when both the first determination result and the second determination result are satisfied, the charging time period information change unit 123 determines that there is a candidate time period to shift to. However, this determination is just an example, and either the first determination result or the second determination result may be used. Furthermore, as a result of the shift, the charging start date and time may be determined based on whether the EV 40 in question is currently delivering on another delivery route.
[0089] As a result of the above determination, if there is a candidate shift time slot (Yes), the process proceeds to step S36, whereas if there is not (No), the process proceeds to step S38.
[0090] In step S36, the charging time zone information change unit 123 compares the amounts of power used when the charging time zone is shifted. Specifically, the charging time zone information change unit 123 compares the following (1) and (2). (1) When a shift is made, the amount of electricity used during the original shift time is subtracted from the amount of charge that was shifted. (2) In the case of a shift, the amount of electricity used during the original shift time.
[0091] Here, (1) is the value obtained by subtracting the shifted charge amount from the original amount of power usage, and indicates the amount of power usage in the time slots 2:00 PM and 2:00 AM shown in FIG. 14B. Also, (2) is the value obtained by adding the shifted charge amount to the original amount of power usage, and indicates the amount of power usage in the time slots 4:00 AM and 3:00 AM shown in FIG. 14B. In these examples, the amount of power usage in the time slots 2:00 PM and 4:00 AM shown in FIG. 14B is compared, and the amount of power usage in the time slots 2:00 AM and 3:00 AM shown in FIG. 14B is compared.
[0092] As a result of the above, if the amount of power usage in the shift source time period is equal to or greater than the amount of power usage in the shift destination time period (shift source time period ≧), the process proceeds to step S37. If the amount of power usage in the shift source time period is smaller (shift source time period <), the process proceeds to step S38.
[0093] In step S36, the charging time zone information change unit 123 may make a determination by comparing the amount of energy used in each of the shift source time zone and the shift destination time zone after the shift with an energy amount threshold, which is an example of the contracted energy amount. For example, if the amount of energy used in each of the shift source time zone and the shift destination time zone is less than the energy amount threshold, the process proceeds to step S37, and if not, the process proceeds to step S38. Also, if the amount of energy used in the shift source time zone is less than the energy amount threshold, the process may proceed to step S37, and if not, the process may proceed to step S38. Furthermore, the comparison with the energy amount threshold and the comparison between the shift destination time zone and the shift source time zone may be used in combination.
[0094] In step S37, the charging time zone information change unit 123 shifts the corresponding charging to the shift destination candidate time zone. As a result, the shift destination candidate time zone is confirmed as the shift destination time. In addition, the charging time zone information change unit 123 updates the charging time zone information 1007 to reflect the shift result. Then, the process proceeds to step S32.
[0095] Furthermore, in step S38, the charging time zone information change unit 123 cancels the corresponding charging in the original shift time zone, i.e., the maximum time zone. Furthermore, the charging time zone information change unit 123 updates the charging time zone information 1007 to reflect the result of the cancellation. In other words, the charging time zone information change unit 123 deletes or invalidates the item indicating the corresponding charging from the charging time zone information 1007. Then, the process proceeds to step S34.
[0096] Then, in step S34, the charging time zone information change unit 123 outputs the charging time of the EV, that is, the charging schedule, via the output unit 14. Here, in addition to output based on the charging time zone information 1007 updated in step S38 or step S37, output is also performed when the charging time zone information 1007 has not been updated. Screens displayed according to the output will be described below.
[0097] FIG. 15 is a diagram showing an example of a display screen in this embodiment. In FIG. 15, display screen 150-1 displays the amount of power used by time period. More specifically, display screen 150-1 displays a bar graph showing the amount of power used by charging priority in each time period and the total amount. As a result, the delivery company's manager or employee can understand the amount of power used in each time period. Note that the graph may also display a power threshold, such as a contracted amount of power. Furthermore, a graph showing the amount of power used by each EV 40 may be displayed, as in FIG. 14A or FIG. 14B.
[0098] 15, display screen 150-2 displays the charging time periods for electric vehicles, that is, each EV 40. More specifically, display screen 150-1 displays a black chart showing the charging times for each EV 40. Furthermore, the charging device used for each EV is shown.
[0099] This concludes the description of the charging time zone information creation process, the power usage amount calculation process, and the charging time zone information change process. However, in the charging time zone information change process (step S3), the charging time zone information 1007 may be changed by graphically moving the charging amount (part of a graph, a chart) in response to an operation via the input unit 11 on the display screen described above. For example, when the charging amount C1 and the charging amount C2 are moved from FIG. 14A to FIG. 14B, the charging time zone information change unit 123 updates the charging time zone information 1007. Note that the operation via the input unit 11 refers to an operation on the input device 160 shown in FIG. 3, which is an example of the input unit 11, or an operation on the administrator terminal group 2, the base terminal 32, or the tablet terminal 33. The input unit 11 accepts the operation on the administrator terminal group 2, the base terminal 32, or the tablet terminal 33.
[0100] Next, details of the update process in step S9 in Fig. 12 will be described. Fig. 16 is a flowchart showing details of the update process in this embodiment. First, in step S91, the management unit 13 receives, via the input unit 11, the charge amount (actual measured value) notified in step S7.
[0101] Furthermore, in step S92, the management unit 13 determines whether or not the charge amount to be updated has been received. Specifically, this can be determined whether or not all charge amounts corresponding to the charging time period information 1007 notified in step S4 have been received, whether or not a predetermined cycle has ended, etc. As a result, if no charge amounts have been received (No), the process returns to step S91 and waits for reception. If the charge amounts have been received (Yes), the process proceeds to step S93.
[0102] Furthermore, in step S93, the management unit 13 compares the received charge amount with the required charge amount in the corresponding charging time period information 1007. That is, the management unit 13 compares the charge amount required in the charging schedule (required charge amount) with the actual charge amount (received charge amount). As a result, if the difference is equal to or less than a predetermined difference threshold (small difference), no update is performed and the process ends. If the difference is greater than the predetermined difference threshold (large difference), the process proceeds to step S94. Note that "0" may also be used as the difference threshold.
[0103] Furthermore, in step S94, the management unit 13 updates at least one of the corresponding information, that is, the delivery route information 1001, the delivery power fluctuation information 1002, and the vehicle information 1003, in accordance with the difference. When the delivery route information 1001 is updated, the amount of power usage is updated. For example, if the received charge amount is large, the amount of power usage is increased by an amount corresponding to the difference.
[0104] Furthermore, if the situation during charging corresponds to the reason for fluctuation, the management unit 13 updates the delivery power fluctuation information 1002. In this case, the power fluctuation rate for the corresponding reason for fluctuation is updated according to the difference.
[0105] Furthermore, the management unit 13 may update the remaining power rate of the vehicle information 1003 according to the difference. These updates are preferably performed at predetermined intervals. Alternatively, they may be performed in real time whenever the charge amount is received.
[0106] Furthermore, the update process in step S9 may be performed as follows. In step S7, management unit 13 receives the driving record of EV 40 via input unit 11. The driving record includes, for example, the driving distance, speed (hourly, average, etc.), and stopping time of EV 40. Furthermore, management unit 13 breaks down the driving record into the amount of power used by reason of fluctuation. Then, management unit 13: The amount of power used for each reason for fluctuation is compared, and the charging priority of the delivery power fluctuation information 1002 is updated according to the result.
[0107] As a result of the above, it is possible to review the required charging amounts of the vehicle / delivery route allocation information 1005, the vehicle / delivery power fluctuation information 1006, and the charging time period information 1007, in other words, to set values that are in line with the actual situation.
[0108] The present invention is not limited to the above-described embodiment, but includes various modifications. For example, the present embodiment has been described in detail to clearly explain the present invention, and is not necessarily limited to a configuration including all of the described configurations. Furthermore, the subject matter also includes electric vehicles other than those of delivery companies. For example, it includes electric vehicles in apartment complexes and electric vehicles of transportation companies such as taxis and buses. Furthermore, it also includes processing for charging devices and equipment other than electric vehicles. For example, it can also be applied to power storage devices in individual homes.
[0109] Furthermore, the above-described configurations, functions, processing units, processing means, etc. may be partially or entirely implemented in hardware, for example, by designing them as integrated circuits. The above-described configurations, functions, etc. may also be implemented in software, with a processor interpreting and executing a program that implements each function. Information such as the programs, tables, and files that implement each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.
[0110] In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and do not necessarily show all the control lines and information lines in the product. In reality, it can be assumed that almost all components are interconnected. [Explanation of symbols]
[0111] 1...vehicle management system, 10...electric vehicle charging management device, 11...input unit, 12...charging time zone determination unit, 121...charging time zone information creation unit, 122...energy usage calculation unit, 123...charging time zone information change unit, 13...management unit, output unit...14, 100...delivery management device, 101...input unit, 102...vehicle / delivery route allocation unit, 103...output unit, 1000...database, 1001...delivery route information, 1002...delivery power fluctuation information, 1003...vehicle information, 1004...charging equipment information, 1005...vehicle / delivery route allocation information, 1006...vehicle / delivery power fluctuation information, 1007...charging time zone information, 1008...energy usage information by time zone 1008, 2...administrator terminal group, 3...charging base, 31...charging control device, 32...base terminal, 33...tablet terminal, 34...charging device, 40...EV
Claims
1. An electric vehicle charging management device that manages charging of a plurality of electric vehicles, an input unit that receives travel course information indicating a travel schedule of the plurality of electric vehicles, vehicle information indicating performance related to charging of the plurality of electric vehicles, and charging facility information indicating charging performance of charging facility that charges the plurality of electric vehicles; calculating an actual charging amount for each of the plurality of electric vehicles using the travel course information and the vehicle information; calculating an actual charging time for the plurality of electric vehicles using the actual charging amount and the charging facility information; a charging time zone information creation unit that creates charging time zone information indicating a charging schedule for each of the plurality of electric vehicles based on the actual charging time; an energy usage calculation unit that calculates energy usage information by time zone that indicates an energy usage amount in a predetermined management unit including the actual charging amount in each of a plurality of time zones based on the charging time zone information; Identifying a maximum time period, which is a time period with the greatest amount of power usage among the plurality of time periods; determining whether there is a change-target electric vehicle among the plurality of electric vehicles scheduled to be charged during the maximum time slot, the change-target electric vehicle having a charge priority equal to or lower than a predetermined value, indicating predetermined content or a predetermined rank, and capable of changing the charge during the maximum time slot, and selecting the change-target electric vehicle; (1) If the shift to the shift-destination candidate time slot can ensure continuity of charging of the electric vehicle to be changed, and the amount of power usage during the maximum time slot in the case of the shift is greater than the amount of power usage during the shift-destination candidate time slot, execute the shift; (2) An electric vehicle charging management device including a charging time zone information change unit that changes the charging time zone information by canceling charging during the maximum time zone and changing the charging of the selected electric vehicle to be changed during the maximum time zone when the shift to the shift destination candidate time zone can ensure continuity of charging of the electric vehicle to be changed and the amount of power usage during the maximum time zone after the shift is equal to or less than the amount of power usage during the shift destination candidate time zone.
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5. The electric vehicle charging management device according to claim 1, Further, a management unit that manages information used in the electric vehicle charging management device is provided, the charging time period information creation unit further uses delivery power fluctuation information to create the charging time period information, the input unit receives an actual measurement value indicating an amount of charging performed on the plurality of electric vehicles; The management unit updates at least one of the delivery power fluctuation information, the driving course information, and the vehicle information using the received actual measurement value.
6. An electric vehicle charging management method for managing charging of a plurality of electric vehicles using an electric vehicle charging management device, comprising: an input unit receives travel course information indicating a travel schedule of the plurality of electric vehicles, vehicle information indicating performance related to charging of the plurality of electric vehicles, and charging equipment information indicating charging performance of charging equipment that charges the plurality of electric vehicles; The charging time zone information creation unit calculating an actual charging amount for each of the plurality of electric vehicles using the travel course information and the vehicle information; calculating an actual charging time for the plurality of electric vehicles using the actual charging amount and the charging facility information; creating charging time zone information indicating a charging schedule for each of the plurality of electric vehicles based on the actual charging time; a power usage calculation unit calculates, based on the charging time zone information, power usage information by time zone that indicates the amount of power usage in a predetermined management unit including the actual charging amount in each of a plurality of time zones; The charging time zone information change unit Identifying a maximum time period, which is a time period with the greatest amount of power usage among the plurality of time periods; determining whether there is a change-target electric vehicle, among the electric vehicles scheduled to be charged during the maximum time slot among the plurality of time slots, that has a charge priority equal to or lower than a predetermined value, that indicates predetermined content or a predetermined rank, and that can be changed for charging during the maximum time slot, and selecting the change-target electric vehicle; (1) If the shift to the shift-destination candidate time slot can ensure continuity of charging of the electric vehicle to be changed, and the amount of power usage during the maximum time slot in the case of the shift is greater than the amount of power usage during the shift-destination candidate time slot, execute the shift; (2) An electric vehicle charging management method for changing the charging time period information, in which, if the shift to the shift-to candidate time period ensures continuity of charging of the electric vehicle to be changed, and the amount of power usage during the maximum time period after the shift is equal to or less than the amount of power usage during the shift-to candidate time period, charging during the maximum time period is stopped and charging during the maximum time period for the selected electric vehicle to be changed is changed.
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10. 7. The method for managing charging of an electric vehicle according to claim 6, Furthermore, the electric vehicle charging management device has a management unit that manages information used in the electric vehicle charging management device, The charging time zone information creation unit further creates the charging time zone information using delivery power fluctuation information, The input unit receives an actual measurement value indicating an amount of charging performed on the plurality of electric vehicles; The electric vehicle charging management method, wherein the management unit updates at least one of the delivery power fluctuation information, the driving course information, and the vehicle information using the received actual measurement value.
11. An electric vehicle charging management device that is a computer and that manages charging of a plurality of electric vehicles, an input unit that receives travel course information indicating a travel schedule of the plurality of electric vehicles, vehicle information indicating performance related to charging of the plurality of electric vehicles, and charging facility information indicating charging performance of charging facility that charges the plurality of electric vehicles; calculating an actual charging amount for each of the plurality of electric vehicles using the travel course information and the vehicle information; calculating an actual charging time for the plurality of electric vehicles using the actual charging amount and the charging facility information; a charging time zone information creation unit that creates charging time zone information indicating a charging schedule for each of the plurality of electric vehicles based on the actual charging time; an energy usage calculation unit that calculates energy usage information by time zone that indicates an energy usage amount in a predetermined management unit including the actual charging amount in each of a plurality of time zones based on the charging time zone information; Identifying a maximum time period, which is a time period with the greatest amount of power usage among the plurality of time periods; determining whether there is a change-target electric vehicle among the plurality of electric vehicles scheduled to be charged during the maximum time slot, the change-target electric vehicle having a charge priority equal to or lower than a predetermined value, indicating predetermined content or a predetermined rank, and capable of changing the charge during the maximum time slot, and selecting the change-target electric vehicle; (1) If the shift to the shift-destination candidate time slot can ensure continuity of charging of the electric vehicle to be changed, and the amount of power usage during the maximum time slot in the case of the shift is greater than the amount of power usage during the shift-destination candidate time slot, execute the shift; (2) A program for causing the program to function as a charging time zone information change unit that changes the charging time zone information by canceling charging during the maximum time zone and changing the charging of the selected electric vehicle to be changed during the maximum time zone, if the continuity of charging of the electric vehicle to be changed can be ensured by shifting to the candidate shift time zone and the amount of electricity used during the maximum time zone in the event of the shift is equal to or less than the amount of electricity used during the candidate shift time zone.
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15. The program according to claim 11, The electric vehicle charging management device further includes a management unit that manages information used in the electric vehicle charging management device, the charging time period information creation unit further uses delivery power fluctuation information to create the charging time period information, the input unit receives an actual measurement value indicating an amount of charging performed on the plurality of electric vehicles; The management unit is a program that updates at least one of the delivery power fluctuation information, the driving course information, and the vehicle information using the received actual measurement value.
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