Power demand estimation device, power demand estimation program, and recording medium

Abstract

To provide a power demand estimation device capable of estimating power demand with higher accuracy.SOLUTION: A power demand estimation device according to the present invention that estimates power demand due to charging of a plurality of electric vehicles includes a log data receiving unit that receives charging log data indicating a charging status from a charger to a vehicle, and a demand estimation unit that estimates power demand, and the charging log data includes power transition information of charging power when power is supplied from the charger to the vehicles, and the demand estimation unit estimates power demand due to vehicle charging on the basis of the received plurality pieces of charging log data.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present invention relates to a power demand estimation device that estimates power demand resulting from charging a plurality of electric vehicles, and a power demand estimation program and a recording medium thereof. [Background technology]

[0002] In recent years, the spread of electric vehicles has been promoted by governments in various countries, and it is only a matter of time before they become widespread in developed countries. On the other hand, the electricity supply situation in many countries is worsening year by year, and there are times when requests to conserve electricity are made. In addition, charging electric vehicles generally requires a lot of electricity.

[0003] Patent Document 1 describes a technology for peak shifting or peak cutting for charging electric vehicles by forecasting power demand and changing charging reservations or limiting charging power based on the results of the forecast. When charging electric vehicles using a home charger, charging time may be reserved for reasons such as using cheap nighttime electricity when demand for electricity is low. For quick chargers installed in parking lots, charging can also be reserved using application software on a mobile device. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2015-22469 A Summary of the Invention [Problem to be solved by the invention]

[0005] Chargers for charging electric vehicles come in a variety of maximum output powers, such as 3kW, 6kW, and 20kW, but depending on the type of vehicle being charged, charging is not always done at maximum output. Even for the same type of vehicle, the actual charging power varies depending on the battery charge rate and battery deterioration. As such, the power required for charging varies depending on the combination of the charger and each vehicle, the vehicle charge rate at the time of charging, and other factors, making it difficult to predict power demand with a high degree of accuracy.

[0006] If the accuracy of the power demand forecast is low, unnecessary charging restrictions may occur, or a sudden charging restriction may be required due to demand exceeding the forecast. It is preferable to forecast the power demand with high accuracy. An object of the present invention is to provide a power demand estimation device capable of forecasting the power demand with high accuracy. [Means for solving the problem]

[0007] A power demand estimation device in one embodiment of the present invention is a power demand estimation device that estimates power demand due to charging of a plurality of electric vehicles, and includes a log data receiving unit that receives charging log data indicating a charging status from a charger to the vehicles, and a demand estimation unit that estimates power demand, wherein the charging log data includes power transition information of charging power when power is supplied from the charger to the vehicles, and the demand estimation unit estimates power demand due to vehicle charging based on the received plurality of charging log data. Effect of the Invention

[0008] According to the present invention, it is possible to estimate the power demand due to charging of a plurality of electric vehicles with high accuracy. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram showing a configuration of a power demand estimation system according to a first embodiment. [Diagram 2] FIG. 2 is a diagram showing a vehicle connected to a charger in the first embodiment. [Diagram 3]FIG. 4 is a flow diagram of generation and transmission of charging log data in the first embodiment. [Figure 4] FIG. 4 is a flowchart of a subroutine in the first embodiment. [Diagram 5] 4 is an example of charging log data in the first embodiment. [Figure 6] 5 is an example of charging transition data obtained by converting charging log data in the first embodiment. [Figure 7] FIG. 4 is a sequence diagram relating to the estimation of power demand in the first embodiment. [Figure 8] FIG. 11 is a flow diagram of a subroutine in the second embodiment. [Figure 9] 13 shows the configuration of a power demand estimation system according to a third embodiment. [Figure 10] FIG. 11 is a diagram showing a vehicle connected to a charger in a third embodiment. [Figure 11] FIG. 11 is a flow diagram of generation and transmission of charging log data in the third embodiment. [Figure 12] FIG. 11 is a flowchart of a subroutine in the third embodiment. [Figure 13] FIG. 11 is a sequence diagram relating to the estimation of power demand in the third embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Control in the control unit and the like in the embodiments described below is realized by a computer system including a CPU and software stored in a storage unit. EXAMPLES

[0011] Fig. 1 shows the configuration of a power demand estimation system according to a first embodiment. Vehicle 1 is an electric vehicle that can be charged by connecting to a charger 2. Fig. 1 shows a situation in which vehicle 1, which is an electric vehicle, is connected to charger 2 at multiple locations. Charger 2 is a home vehicle charger installed in a private home or a rapid charger installed in a parking lot or the like.

[0012] The vehicle 1 can be wirelessly connected to a communication network 4, and is connected to an estimation server 3, which is a power demand estimation device, via the communication network 4. The communication network 4 is a communication network operated by a communication carrier of mobile terminals. The estimation server 3 has a control unit 31, a memory unit 32, and a communication unit 33. The estimation server 3 is connected to a power company server 5 and an operator terminal 6 via the Internet, a LAN, or the like.

[0013] In response to a request from the power company server 5 or the worker terminal 6, the estimation server 3 estimates the power demand for charging the multiple vehicles 1 under its management, and returns the estimate to the power company server 5 or the worker terminal 6. The control unit 31 and the storage unit 32 of the estimation server 3 form a demand estimation unit that estimates the power demand. The estimation server 3 may also transmit a charging suppression request signal to each vehicle 1 based on the estimated power demand. In this case, the vehicle 1 suppresses charging, for example, by reducing the charging power or changing the charging time, in response to the received charging suppression request signal.

[0014] In the first embodiment, the estimation server 3 is an electricity demand estimation device. The estimation server 3 stores an electricity demand estimation program in a storage unit 32 for executing a log data receiving step and a demand estimation step for performing electricity demand estimation. The storage unit 32 is a computer-readable recording medium. The electricity demand estimation is performed by the control unit 31 according to the electricity demand estimation program. The recording medium is a non-transient tangible one, but may be one that is removable from the estimation server 3, such as a USB memory.

[0015] FIG. 2 is a diagram showing a vehicle 1 connected to a charger 2 in the first embodiment. The vehicle 1 has a control unit 11 and a storage unit 12. The storage unit 12 stores a vehicle number for identifying the vehicle 1, a program for estimating power demand, and the like. The vehicle 1 is an electric vehicle that runs on power stored in a battery 13. The vehicle 1 takes in power from the charger 2 through a charging port 14 and charges the battery 13 via a vehicle charging unit 15. The control unit 11 also communicates information with the charger 2 by wire via the charging port 14 and a vehicle communication unit 16. The vehicle charging unit 15 and the vehicle communication unit 16 are controlled by the control unit 11. The vehicle communication unit 16 of the vehicle 1 is wirelessly connected to a communication network 4 and can communicate with the estimation server 3.

[0016] Charger 2 is controlled by software including a program for estimating power demand stored in control unit 21 and storage unit 22. Charger 2 adjusts the power obtained from commercial power source 7 in charging unit 23, and charges from charging port 14 of vehicle 1 via charging cable 25 and vehicle connector 26. A communication cable is embedded in charging cable 25 together with a power line for power transmission, and communication is performed between communication unit 24 of charger 2 and vehicle communication unit 16 of vehicle 1 via vehicle connector 26 and charging port 14.

[0017] <Generating and sending charging log data> The vehicle 1 generates charging log data and transmits it from the vehicle communication unit 16. The charging log data includes a plurality of charging records each including information on the acquisition date and time, charging rate, and charging power, and device combination information indicating the charged vehicle and charger. Therefore, the charging log data includes power transition information indicating the transition of charging power with respect to the transition of charging rate, and power transition information indicating the transition of charging power with respect to the elapsed time from the start of charging. The charging log data includes power transition information of the charging power when power is supplied from the charger 2 to the vehicle 1. The charging log data is generated as shown in FIG. 3 under the control of the control unit 11, and transmitted from the vehicle communication unit 16.

[0018] Fig. 3 is a flow diagram of generation and transmission of charging log data in the vehicle 1. First, the control unit 11 of the vehicle 1 determines whether charging has started (step S11). If YES, the process proceeds to the next step, and if NO, step S11 is performed again. When the vehicle connector 26 of the charger 2 is connected to the charging port 14 of the vehicle 1 shown in Fig. 2, if the charging start time has been set, the process waits until charging starts in step S11, and then performs the processes from step S12 onwards. Also, if the vehicle is in the immediate charging mode, the connection results in YES, and the process from step S12 onwards is performed.

[0019] When charging starts, the vehicle communication unit 16 transmits a request to the charger 2 to transmit the charger number (step S12). The charger 2 that receives the request to transmit the charger number replies with the charger number. The vehicle 1 acquires the charger number from the charger 2 and stores it in the memory unit 12 (step S13). Next, the vehicle 1 creates and stores a charging record (step S14). The charging record is a record of the charging rate of the battery 13 in the vehicle 1 acquired, together with the charging power from the charger 2 to the vehicle 1 and the recording date and time.

[0020] 4 shows a flow diagram of the subroutine of step S14. In step S14, first, a charging power transmission request is transmitted to the charger 2 (step S141). The charger 2 replies with the value of the charging power at that time as charging power data, and the vehicle 1 acquires the charging power data from the charger 2 (step S142). The vehicle 1 also acquires the charging rate data at that time (step S143). Then, the acquisition date and time, the charging rate data, and the charging power data are stored together as a charging record in the storage unit 12 (step S144), and the subroutine of step S14 is terminated.

[0021] After storing the charging record in step S14, as shown in FIG. 3, it is determined whether charging is completed (step S15). If NO, proceed to step S16, and if YES, proceed to step S17. In step S16, it is determined whether a predetermined time has elapsed. If NO, step S16 is repeated until the predetermined time has elapsed. If YES, return to step S14. Through steps S15 and S16, a charging record is created for each predetermined time period until charging is completed and stored in memory unit 12.

[0022] In this manner, step S17 is executed with the charging records for each predetermined time period after the start of charging stored in the storage unit 12 of the vehicle 1. In step S17, the vehicle number stored in the storage unit 12, the charger number stored in the storage unit 12, and the multiple charging records are compiled to generate charging log data. Then, in the next step S18, the charging log data is transmitted from the vehicle communication unit 16. Since the charging record has the acquisition date and time, charging rate data, and charging power data, the charging log data compiled from the multiple charging records includes charging rate change data and charging power change data.

[0023] An example of charging log data is shown in Figure 5. "L2305020100" on the first line indicates that the log data was created at 1:00 on May 2, 2023. The next "SBST23000100" indicates the vehicle number, and "EV23000321" indicates the charger number. Since there is only one charging log data created at the same time for a specific vehicle and specific charger combination, the first line is the identification number of the charging log data. Additionally, "SBST23000100,EV23000321" is device combination information.

[0024] Each line from the second line onwards indicates an individual charging record, with "R01", "R02" ... in each line indicating the charging record number. "2305012000" on the second line indicates that the charging record was created at 20:00 on May 1, 2023. The next "65" indicates that the charging rate of vehicle 1 was 65% when the charging record was created, and "2.5" indicates that the charging power of charger 2 was 2.5kW when the charging record was created. The same applies from the third line onwards.

[0025] The charging log data is sent from the vehicle 1 shown in FIG. 1 to the estimation server 3 via the communication network 4, and is stored in the memory unit 32 via the communication unit 33 and the control unit 31. The communication unit 33 of the estimation server 3 functions as a log data receiving unit. The memory unit 32 is formed of a recording medium, and the contents of the memory unit 32 can be stored in another recording medium. The charging log data is then converted into charging transition data and stored. The charging transition data is stored including device combination information for each combination of a vehicle and a charger, and is data on the time elapsed since the first charging record and charging power relative to the charging rate.

[0026] Figure 6 shows charging transition data converted from the charging log data in Figure 5. "SBST23000100,EV23000321" on the first line is device combination information. Furthermore, "65" on the second line indicates that the charging rate of vehicle 1 was 65% when the charging record was created, and "2.5" indicates that the charging power of charger 2 was 2.5kW when the charging record was created. "0000" indicates the time that has elapsed since the first charging record. "0000" on the second line indicates that 0 minutes have elapsed, and "0010" on the third line indicates that 10 minutes have elapsed.

[0027] By storing the data in this manner, the subsequent time transition of the charging power can be easily calculated based on the charging rate. For example, in the case of a charging rate of 67%, the time transition starts from the third line in FIG. 6. Therefore, the time transition from 67% can be obtained by subtracting 10 minutes from the time transition in FIG. 6. The charging log data includes charging transition information, but the charging transition data also includes charging transition information.

[0028] <Estimation of electricity demand> Fig. 7 shows a sequence diagram related to the estimation of power demand in the first embodiment. When it becomes necessary to estimate power demand, the power company server 5 or the worker terminal 6 transmits a power demand estimation request to the estimation server 3 (step S1). Then, the estimation server 3 transmits a charging status transmission request to each vehicle 1 (step S2). Each vehicle 1 transmits device combination information and the charging status to the estimation server 3 (step S3). At this time, if the vehicle 1 is charging, the vehicle 1 transmits the charging rate of the battery 13 as the charging status.

[0029] Furthermore, in step S3, if a schedule for charging the vehicle 1 from the charger 2 has been registered, the charging start time is transmitted as the charging status together with the charging rate of the battery 13. In many cases, a home vehicle charger registers a charging schedule in order to use nighttime power, rather than to start charging immediately after the vehicle 1 is connected to the charger 2. Upon receiving the charging status transmission request, the vehicle 1 causes the charger 2 to transmit charging start time information, and transmits this information together with the charging rate of the vehicle 1 to the estimation server 3.

[0030] Furthermore, even for quick chargers installed in parking lots and the like, it may be possible to reserve charging using application software on a mobile terminal (not shown). In such cases, charging reservation information including information on which charger to use and which vehicle to charge (device combination information) and charging start time information on when charging will start are transmitted from the mobile terminal to vehicle 1 and stored. Then, when vehicle 1 receives a charging status transmission request, it can transmit the reservation information in step S3.

[0031] The estimation server 3, which has received information such as the charging status from the multiple vehicles 1, estimates the power demand (step S4). The control unit 31 of the estimation server 3 is a demand estimation unit that estimates the power demand, and estimates the power demand due to vehicle charging based on the charging status received in step S3 and multiple charging log data received in the past. The estimation server 3 estimates the transition of the charging power of each vehicle by applying the charging transition data stored for each device combination information to the charging status such as the charging schedule. Then, the time transition of the charging power during charging is estimated for each combination of vehicle and charger, and the power demand is estimated by accumulating the transition for all combinations. The power demand estimation takes the transition status of the power required for charging all vehicles within a predetermined time from the estimation time as the estimation result. Then, the estimation result is transmitted to the power company server 5 or the worker terminal 6 (step S5).

[0032] The charging log data shown in FIG. 5 is for charging rates of 65 to 95%, and there is no data for charging rates less than 65%. However, if charging log data for a charging rate of, for example, 40 to 70% is obtained at another timing for the same combination of vehicle 1 and charger 2, it is possible to calculate the time transition of charging power for a charging rate of 40 to 95% by combining it with the charging log data shown in FIG. 5. Therefore, when a plurality of charging log data for the same combination of vehicle 1 and charger 2 is obtained, the data is organized into data on the time transition of charging power for each elapsed time from the minimum charging rate to the maximum charging rate, and stored as the charging transition data shown in FIG. 6. In this way, data on the charging rate not obtained in the new charging log data can be supplemented by old charging log data and stored as charging transition data.

[0033] As described above, by obtaining charging transition data from past charging log data, the time transition of charging power during charging is estimated for each combination of vehicle and charger. In addition, the charging schedule of each vehicle is estimated from reservation data and schedule data of charging time obtained from each vehicle, and if the charger is not yet connected, the charging rate of the vehicle at the start of charging, etc. can be obtained by estimating the power consumption rate. The estimation server 3 can obtain the time transition of the charging power used for each vehicle from the charging schedule and vehicle charging rate data and the charging transition data for each device combination information. Then, the charging power per hour for multiple vehicles is added up to estimate the power demand.

[0034] In the first embodiment, charging log data is created using the charging power measured by the charger 2. Therefore, it is possible to obtain a more accurate power demand than the charging power measured by the vehicle 1. Also, since the charging log data is transmitted from the vehicle 1, there is no need to provide a transmission function in the charger 2. Recently, vehicles are often equipped with a system for wirelessly connecting to a server, and this system can be used in the first embodiment. EXAMPLES

[0035] In the second embodiment, charging log data is created using charging power measured by the vehicle 1. In the second embodiment, the charger 2 does not need to have a function of returning charging power to the vehicle 1, and charging by a conventional charger 2 is also possible.

[0036] The configuration of the power demand estimation system in the second embodiment is basically the same as the configuration of the power demand estimation system shown in Figures 1 and 2. The flow diagram of generation and transmission of charging log data is the same as that of the first embodiment in the part shown in Figure 3, but is different in the part shown in Figure 4. As shown in Figure 3, when it is determined in step S11 that charging should be started, the vehicle 1 stores the charger number in steps S12 and S13. Then, instead of the subroutine in step S14, the subroutine in step S24 is executed.

[0037] 8 shows a flow diagram of the subroutine in the second embodiment. In step S24, the process is carried out only within the vehicle 1, and the charging record is stored. First, the vehicle 1 acquires charging power data from the vehicle charging unit 15 (step S241). The vehicle 1 also acquires charging rate data at that time (step S242). Then, the charging rate data and charging power data are collected and stored together with the acquisition date and time in the storage unit 12 as a charging record (step S243), and the subroutine of step S24 is terminated.

[0038] According to the flow of steps S15 and S16 shown in Fig. 3, step S24, which replaces step S14, is repeated to store a plurality of charging records. Thereafter, similarly to the first embodiment, charging log data consisting of a plurality of charging records together with the vehicle number and the charger number is generated in step S17 shown in Fig. 3. Then, in step S18, the vehicle 1 transmits the charging log data. The charging log data is similar to that shown in Fig. 5.

[0039] The charging log data is sent from the vehicle 1 shown in Fig. 1 to the estimation server 3 via the communication network 4 and stored in the storage unit 32. The storage unit 32 is formed of a recording medium, and the contents of the storage unit 32 can be stored in another recording medium. Then, the charging transition data shown in Fig. 6, which is converted into data of the time elapsed since the first charging record for the charging rate and charging power, is stored.

[0040] In the second embodiment, charging log data is created using the charging power measured in the vehicle 1. Therefore, there is a possibility that the value may be smaller than the charging power measured in the charger 2 as in the first embodiment. However, if a correction is made in the vehicle 1 or the estimation server 3, it is possible to generate charging transition data close to the power value used in the charger 2. Also, as in the first embodiment, since the charging log data is transmitted from the vehicle 1, there is no need to provide a transmission function in the charger 2. EXAMPLES

[0041] Unlike the first and second embodiments, in the third embodiment, charging log data is transmitted from the charger 8. FIG. 9 shows the configuration of a power demand estimation system in the third embodiment. The vehicle 1 is an electric vehicle that can be charged by connecting to the charger 8. FIG. 9 shows a situation in which the vehicle 1 is connected to the charger 8 at a plurality of locations. The charger 8 can be wirelessly connected to the communication network 4, and is connected to an estimation server 3, which is a power demand estimation device, via the communication network 4. The communication network 4 is a communication network operated by a communication carrier of mobile terminals, but the charger 8 may be connected to the estimation server 3 by wire via the Internet or the like connected to each home. The estimation server 3 is connected to a power company server 5 and an operator terminal 6 via the Internet, a LAN, or the like.

[0042] The charger 8 is a home vehicle charger installed in a private home or a rapid charger installed in a parking lot or the like. Since charging log data is transmitted from the charger 8, the third embodiment can also be used for electric vehicles that do not have wireless communication means for connecting to a server. Rapid chargers installed in parking lots or the like charge various electric vehicles. The power demand estimation system of the third embodiment is also suitable for estimating power demand due to charging with such rapid chargers.

[0043] FIG. 10 is a diagram showing vehicle 1 connected to charger 8 in Example 3. Charger 8 is controlled by software such as a program for estimating power demand stored in control unit 81 and storage unit 82. Vehicle 1 is similarly controlled. Charger 8 adjusts the power obtained from commercial power source 7 in charging unit 83 and supplies the power from charging port 14 of vehicle 1 via charging cable 85 and vehicle connector 86. Vehicle 1 takes in power from charger 8 through charging port 14 and charges battery 13 via vehicle charging unit 15. A communication cable is embedded in charging cable 85 together with a power line for power transmission, and communication is performed between communication unit 84 of charger 8 and vehicle communication unit 16 of vehicle 1 via vehicle connector 86 and charging port 14.

[0044] <Generating and sending charging log data> In the first and second embodiments, the charging log data is generated and transmitted by the vehicle 1, but in the third embodiment, the charger 8 generates the charging log data and transmits it from the wireless communication unit 87. The charging log data includes information on the acquisition date and time, the charging rate, and the charging power.

[0045] 11 is a flow diagram of generation and transmission of charging log data in the charger 8. First, the control unit 81 of the charger 8 determines whether charging has started (step S31). If YES, proceed to the next step, and if NO, perform step S31 again. When the vehicle connector 86 of the charger 8 is connected to the charging port 14 of the vehicle 1, if the charging start time has been set, wait until charging starts in step S31 and perform processing from step S32 onwards. Also, if the immediate charging mode is selected, the connection results in YES, and processing from step S32 onwards is performed.

[0046] When charging starts, the charger 8 transmits a request to transmit the vehicle number from the communication unit 84 to the vehicle 1 via the communication cable attached to the charging cable 85 (step S32). Upon receiving the request to transmit the vehicle number, the vehicle 1 replies with its vehicle number. The charger 8 acquires the vehicle number from the vehicle 1 and stores it in the memory unit 82 (step S33). Next, the charger 8 creates and stores a charging record (step S34). The charging record records the charging rate of the battery 13 in the vehicle 1 and the charging power from the charger 8 to the vehicle 1 together with the date and time of recording.

[0047] 12 shows a flow diagram of the subroutine of step S34. First, the charger 8 transmits a charging rate transmission request to the vehicle 1 (step S341). The vehicle 1 replies with the current charging rate value as rate data, and the charger 8 acquires the charging rate data from the vehicle 1 (step S342). The charger 8 also acquires charging power data at that time (step S343). The charging rate data and charging power data are then stored together with the acquisition date and time in the memory unit 82 as a charging record (step S344). Thereafter, the subroutine of step S34 is terminated.

[0048] After storing the charging record in step S34, as shown in FIG. 11, it is determined whether charging has been completed (step S35). If NO, proceed to step S36, and if YES, proceed to step S37. In step S36, it is determined whether a predetermined time has elapsed. If NO, step S36 is repeated until the predetermined time has elapsed. If YES, return to step S34. Through steps S35 and S36, a charging record is created for each predetermined time period until charging is completed and stored in memory unit 82.

[0049] In this manner, with the charging records for each predetermined time period after the start of charging stored in the memory unit 82 of the charger 8, step S37 is executed. In step S37, the charger number stored in the memory unit 82, the vehicle number stored in the memory unit 82, and the multiple charging records are compiled to generate charging log data. Then, in the next step S38, the charging log data is transmitted from the wireless communication unit 87. The charging log data is similar to that shown in FIG. 5. The charging record has the acquisition date and time, charging rate data, and charging power data, so the charging log data compiled from the multiple charging records includes charging rate change data and charging power change data.

[0050] The charging log data is sent from the charger 8 shown in Fig. 9 to the estimation server 3 via the communication network 4, and is stored in the storage unit 32. The storage unit 32 is formed of a recording medium, and the contents of the storage unit 32 can be stored in another recording medium. Then, similar to the first embodiment, the charging transition data shown in Fig. 6, which is converted into data of the time elapsed since the first charging record for the charging rate and charging power, is stored.

[0051] When charging electric vehicles using quick chargers installed in parking lots, etc., different quick chargers are often used. Therefore, it is expected that there are many cases where the combination of the vehicle and charger is new. In such cases, charging transition data such as that shown in Figure 6 does not exist. In this way, when there is no equipment combination information of the vehicle and charger that requires estimation, the change in charging power is estimated using the equipment combination information of an approximate vehicle, which is a vehicle with a similar situation, or an approximate charger, which is a charger with a similar situation.

[0052] For example, if there is charging transition data when a specific vehicle is charged using the same type of charger, this is used. For example, if charger number "EV23000551" and charger number "EV23000672" are the numbers of similar chargers of the same type, and there is charging transition data for an equipment combination connected to a charger with vehicle number "SBST23000100" and charger number "EV23000551", this charging transition data is used for the equipment combination connected to a charger with vehicle number "SBST23000120" and charger number "EV23000672". The charging transition data for the equipment combination connected to a charger with vehicle number "SBST23000100" and charger number "EV23000551" can also be used when charging the same type of vehicle with a specific charger, or when charging the same type of vehicle with the same type of charger.

[0053] <Estimation of electricity demand> 13 shows a sequence diagram related to the estimation of power demand in the third embodiment. When it becomes necessary to estimate power demand, similarly to the first embodiment, the power company server 5 or the worker terminal 6 transmits a power demand estimation request to the estimation server 3 (step S41). Then, the estimation server 3 transmits a charging status transmission request to each charger 8 (step S42). Each charger 8 transmits device combination information and a charging status to the estimation server 3 (step S43). At this time, if the charger 8 is charging, the charger 8 acquires the vehicle charging rate from the vehicle 1 and transmits it to the estimation server 3 as the charging status.

[0054] Furthermore, in step S43, if a plan to charge the vehicle 1 from the charger 8 has been registered, the charging start time is transmitted as the charging status together with the charging rate. In many cases, a home vehicle charger registers a charging plan in order to use nighttime power, rather than to start charging immediately after the vehicle 1 is connected to the charger 2. Upon receiving the charging status transmission request, the charger 8 causes the vehicle 1 to transmit the charging rate, and transmits it to the estimation server 3 together with the charging start time.

[0055] The estimation server 3, which has received information such as the charging status from the multiple vehicles 1, estimates the power demand (step S44). The control unit 31 of the estimation server 3 is a demand estimation unit that estimates the power demand, and estimates the power demand due to vehicle charging based on the charging status received in step S43 and multiple charging log data received in the past. The estimation server 3 estimates the transition of the charging power of each vehicle by applying the charging transition data stored for each device combination information to the charging status such as the charging schedule. Then, the time transition of the charging power during charging is estimated for each combination of vehicle and charger, and the power demand is estimated by accumulating the transition for all combinations. The power demand estimation takes the transition status of the power required for charging all vehicles within a predetermined time from the estimation time as the estimation result. Then, the estimation result is transmitted to the power company server 5 or the worker terminal 6 (step S45).

[0056] Even with quick chargers installed in parking lots and the like, it may be possible to reserve charging using application software on a mobile terminal. In such cases, charging reservation information including information on which charger and when charging will start is transmitted from the mobile terminal to the charger 8 and stored. Then, when the charger 8 receives a charging status transmission request, it can transmit the reservation information in step S43.

[0057] In the third embodiment, the charger 8 has a wireless communication unit 87, and as described above, the estimation server 3 transmits a charging status transmission request to the charger 8. In the third embodiment, the charging log data is transmitted from the charger 8, and the estimation server 3 requests the charger 8 to transmit the charging status. However, as long as the vehicle 1 has a communication means, the charging log data may be transmitted from the charger 8, and the transmission of the charging status and the like when making a power demand estimation request may be performed by the vehicle 1 as in the first embodiment. EXAMPLES

[0058] At quick chargers installed in parking lots, etc., various vehicles take turns charging at them. Therefore, unlike home vehicle chargers, reservations are often not made. However, there are cases where charging is habitually performed at the same quick charger. Therefore, the demand estimation unit of the power demand estimation device estimates the combination of unconnected vehicles and chargers that will charge, and estimates the power demand.

[0059] In the fourth embodiment, when a power demand estimation request is received from the power company server 5 or the worker terminal 6, the estimation server 3 calculates and integrates the probability of a combination of a vehicle and a charger from the charging log data to estimate the power demand. Since the charging log data includes the acquisition date and time, the probability of starting charging for each time period and the probability of the charging rate at the start are calculated for each combination of a vehicle and a charger. Then, these are integrated to estimate the power demand.

[0060] In each of the above-described embodiments, the date and time when the charging record was created is described in the charging record to create charging log data. However, instead of the date and time, the time from the start of charging may be described in the charging record to create charging log data.

[0061] In each of the above embodiments, the estimation server 3 is the power demand estimation device. However, if the vehicle 1 or the charger 2 is provided with a power demand estimation function, the vehicle 1 or the charger 2 can serve as the power demand estimation device.

[0062] In addition, the specific configuration is not limited to the embodiment, and the present invention includes design changes within the scope of the present invention. In addition, the above-mentioned examples and modifications can be combined by utilizing each other's technologies as long as there are no particular contradictions or problems in the purpose, configuration, etc. [Explanation of symbols]

[0063] 1 vehicle 11 Control section 12 Storage section 13. Battery 14 Charging port 15 Vehicle charging unit 16 Vehicle Communication Unit 2 charger 21 Control section 22 Memory section 23 Charging power supply section 24 Communications Department 25 Charging cable 26 Vehicle connector 3 Estimated Server 31 Control Unit 32 Storage section 33 Communications Department 4. Communication Network 5. Electricity company server 6. Worker terminal 7 Commercial power supply 8 charger 81 Control Unit 82 Memory section 83 Charging power supply section 84 Communications Department 85 Charging cable 86 Vehicle connector 87 Wireless Communication Division

Claims

1. An electric power demand estimation device that estimates electric power demand for charging a plurality of electric vehicles, a log data receiving unit that receives charging log data indicating a charging status from the charger to the vehicle; A demand estimation unit that estimates an electric power demand, the charging log data includes information on a transition of charging power when power is supplied from the charger to the vehicle, The demand estimation unit estimates power demand due to vehicle charging based on the received plurality of charging log data. Electricity demand estimation device.

2. the charging log data includes device combination information indicating a combination of the vehicle and the charger, the demand estimation unit estimates and accumulates a time transition of charging power during charging for each combination of the vehicle and the charger, and estimates a power demand; The power demand estimation device according to claim 1 .

3. When there is no device combination information of the vehicle and the charger requiring estimation, the demand estimation unit estimates a change in charging power using device combination information of a similar vehicle that is a vehicle in a similar situation or a similar charger that is a charger in a similar situation. The power demand estimation device according to claim 2 .

4. the demand estimation unit estimates a combination of the vehicle and the charger for charging the vehicle when the vehicle is not connected to any charger, and estimates a change in charging power; The power demand estimation device according to claim 2 .

5. The charging log data includes charging rate data indicating a charging rate of the vehicle and power transition information indicating a transition of the charging power with respect to a transition of the charging rate. The power demand estimation device according to any one of claims 1 to 4.

6. The charging log data includes power transition information indicating a transition of the charging power with respect to an elapsed time from a start of charging. The power demand estimation device according to claim 5.

7. On the computer, a log data receiving step of receiving charging log data indicating a charging status from the charger to the vehicle, the charging log data including information on a power transition when power is supplied from the charger to the vehicle; a demand estimating step of estimating a demand for power due to vehicle charging based on the plurality of received charging log data; A power demand estimation program for executing the above.

8. On the computer, a log data receiving step of receiving charging log data indicating a charging status from the charger to the vehicle, the charging log data including information on a power transition when power is supplied from the charger to the vehicle; a demand estimating step of estimating a demand for power due to vehicle charging based on the plurality of received charging log data; A non-transitory tangible recording medium readable by a computer having recorded thereon an electricity demand estimation program for executing the above.

Images