JPWO2013160940A1 - Charging plan system for storage batteries mounted on mobile objects - Google Patents

Abstract

In facilities equipped with chargers that charge storage batteries mounted on mobile objects, the amount of power received by the facility must be reduced, and electric vehicles can be used reliably by the scheduled departure time. A data input unit for inputting the condition of the equipment load of the charger and the facility and a charge request from a mobile unit equipped with a storage battery, an optimal calculation unit for formulating a charging plan based on data acquired from the data input unit, and the optimal According to the calculation result of the calculation unit, a charge request adjustment unit that adjusts a charge request, an adjustment coefficient storage unit that stores an adjustment coefficient for performing the charge request adjustment, a data output unit that outputs a planned charge plan, Prepare.

Description

  The present invention relates to a method for creating a charging plan in a charger stand that charges a storage battery of a mobile object such as an electric vehicle.

  With the spread of mobile objects equipped with storage batteries such as electric vehicles, stands having chargers are being prepared. However, since the storage battery mounted on the mobile body has a large capacity and charging takes several tens of minutes to several hours, a technology for a reservation system for a charging station that relaxes waiting for charging has been studied.

  Patent Documents 1 and 2 are techniques for managing charging timing based on a schedule.

  The technique described in Patent Document 1 guides a charging station with the shortest waiting time by comparing charging waiting times in a plurality of charging stations with each other. Each stand is equipped with a charger that can charge any of the connected electric vehicles by opening and closing multiple output terminals, the type of battery installed in the electric vehicle that is waiting for and being charged, and the remaining charge And a device for calculating the charging waiting time based on the desired charging amount.

  The technique described in Patent Document 2 makes it possible to guide a charging station that can start charging an electric vehicle as soon as possible. The control server receives charging station inquiries and reservation requests from the navigation terminal of the electric vehicle, communicates with the stand server of each stand, and identifies a stand that minimizes the total charging wait time until charging starts. The control server transmits stand candidate information and reserved information to the navigation terminal.

JP 2011-24334 Japanese Unexamined Patent Publication No. 2011-83166

  However, in the prior art, since the scheduled departure time of the electric vehicle is not sufficiently taken into consideration, there are the following problems.

  In the technology of Patent Document 1 described above, a charging station that can start charging as soon as possible when a request for starting charging is input is provided. In a time zone when demands are concentrated, there is a possibility that the amount of received power from the power system in a facility equipped with a charger deviates from the contracted power amount.

  Also, in the above-mentioned document 2, if the station has a long residence time and there are many electric vehicles (for example, commercial facilities) that do not rush to charge, the idle time is interrupted while checking the charge start request time. However, if there is not enough free time, there is a possibility that the scheduled departure time will be over without finding a charging station that can start charging because the charging schedule once set cannot be interrupted.

  In particular, in the case of a rental car or car sharing that jointly uses an electric vehicle, the user inputs not a request for starting charging as described above, but a request to reach a predetermined amount of storage by the scheduled departure time. Therefore, it is difficult to apply the techniques of Documents 1 and 2 as they are.

  Therefore, the object of the first embodiment of the present invention is that if a user of a mobile object such as an electric vehicle inputs a scheduled departure time without inputting a charging start time, the power system in a facility equipped with a charger It is to output a charging plan that increases the utilization efficiency of the facility while suppressing the amount of received power and making the electric vehicle available by the scheduled departure time.

  Subsequently, the object of the second embodiment of the present invention is that the storage battery mounted on the mobile body such as an electric vehicle moves to the next destination by the scheduled departure time in addition to the object of the first embodiment. It is to output a charging plan that surely reaches a sufficient amount of electricity to be stored.

  A data input unit for inputting facility contract power data, facility load forecast data, charger management data, and charge request data including the current storage amount of the electric vehicle and scheduled departure time; and charge request An optimal calculation unit that develops a charging plan that satisfies the conditions, a charge request adjustment unit that adjusts a charge request that is called according to a processing result of the optimal calculation unit, and an adjustment coefficient storage unit that stores an adjustment coefficient used in the charge request adjustment unit And a data output unit that outputs a charging plan, and makes a plan for charging a storage battery mounted on the mobile body.

  According to the first embodiment of the present invention, if a user of a mobile object such as an electric vehicle inputs a scheduled departure time without inputting a charging start time, the received power amount of a facility equipped with a charger is suppressed. Make the electric car available by the scheduled departure time.

It is a block diagram of the charge plan system regarding 1st embodiment. It is a block diagram of the plan production | generation apparatus 100 regarding 1st embodiment. It is an example of a data model handled by the contract power information table 210. It is an example of the data model which the charger management table 211 handles. It is an example of the data model which the equipment load prediction table 212 handles. It is an example of the data model which the charge request table 214 handles. FIG. 10 is a processing flowchart of the data input unit 1011. FIG. 10 is a process flow diagram of an optimal calculation unit 1012. FIG. 11 is a process flow diagram of a charge request adjustment unit 1013. FIG. 10 is a processing flowchart of the data output unit 1015. It is an example of a data model handled by the charging plan registration table 215. It is a software block diagram of the energy management control apparatus 113 regarding 1st embodiment. It is a software block diagram of the operation terminal 112 regarding 1st embodiment. It is a processing sequence figure in a first embodiment. It is a figure explaining that a charging plan is improved by the charging plan system in 1st embodiment. It is a block diagram of the charge plan system regarding 2nd embodiment. It is an example of the data model which the charge request table 214 in 2nd embodiment handles. It is a processing flow figure of the charge request adjustment part 10131 regarding 2nd embodiment. It is a figure explaining that a charge plan is improved by the charge plan system in 2nd embodiment.

  The best mode for carrying out the present invention will be described below with reference to the drawings.

  The charging planning system according to the first embodiment is for planning a charging plan when a charger provided in a parking lot charges an electric vehicle parked in a parking lot of a facility such as an apartment or a factory. It is. As for the use of electric vehicles, it is assumed that two or more people in condominiums, factories, etc. will share the use like a car share.

  FIG. 1 is a configuration diagram of a charging planning system in the first embodiment.

  The charging plan system includes a plan generation device 100 and a facility 110. The plan generation device 100 includes a storage device 101, a CPU 102, a memory 103, an input / output device 104, and a communication device 105. Device 111, energy management control device 113, and various electrical equipment in the facility (hereinafter referred to as equipment load 114). The mobile body 140 mounting the storage battery is connected to the charger 111. The plan generation device 100, the energy management control device 113, and the charger 111 are connected by a wired or wireless communication line 120. The charger 111, the energy management control device 113, and the equipment load 114 are connected by a power line 130. Here, the thin line represents the information line, and the thick line represents the power line.

  FIG. 2 shows a software configuration example of the plan generation apparatus 100 in the first embodiment. These software functions by being read from the storage device 101 to the CPU 102 and executed.

  The plan generation device 100 is a device that makes a plan for charging a storage battery mounted on an electric vehicle or the like, and includes a data input unit 1011, an optimal calculation unit 1012, a data output unit 1015, a charge request adjustment unit 1013, and an adjustment coefficient storage. Part 1014.

  The data input unit 1011 acquires various data from the contract power information table 210, the charger management table 211, the equipment load prediction table 212, and the charge request table 214.

  The optimum calculation unit 215 makes a charging plan for the charger that satisfies the charging request from the data acquired from the data input unit 1011. If the constraint condition such as the charge request cannot be satisfied, the charge request adjustment unit is called and the planning is repeated until all the constraint conditions are satisfied.

  When the optimal calculation unit 1012 does not satisfy the constraint condition and the plan is not drafted, the charge request adjustment unit 1013 corrects the target charge amount of the charge request data and switches to a plan that charges the maximum amount possible. Adjust the amount of charge so that it does not deviate from the contracted power.

  The adjustment coefficient storage unit 1014 stores an adjustment coefficient used when the charge request adjustment unit 1013 adjusts the charge request.

  The data output unit 214 outputs the planned charging plan to the charging plan registration table 215.

  Note that the plan generation device 100 may be periodically operated with a periodic timer in addition to the timing of the occurrence of a charge request event. FIG. 3 shows a data configuration example of the contract power information table 210. The contract power information table has information on the contract power of the facility. Includes facility ID 210a and contract power 210b. The facility ID 201a is set to an ID for uniquely identifying the facility. The contract power 201b is set to the value of the maximum power (kilowatt) contracted by facilities such as shopping malls and factories. Note that the total power used by the charger 111 and the equipment load 114 included in the facility 110 needs to be kept below the contract power.

  FIG. 4 shows a data configuration example of the charger management table 212. The charger management table includes information on the charging performance of the charger 111. The facility ID 212a, the charger ID 212b, and the charging performance 212c are included. The facility ID is set to the same ID as the facility ID included in the contract power information data. The charger ID is set to an ID uniquely set for the charger 111. The charging performance 212b sets a value of charging power (kilowatt).

  FIG. 5 shows a data configuration example (lower part of FIG. 5) and a graph (upper part of FIG. 5) of the equipment load prediction table 211. The equipment load prediction table holds the predicted power consumption of the entire time series equipment load. Include facility ID 211a, time 211b, and pre-side energy 211c. The facility ID 211a is set to the same ID as the facility ID included in the contract power information data. The time 211b sets the value of the prediction target time. The predicted power consumption 211c sets a value of predicted power consumption (kilowatt hours) in the prediction target time. The graph in the upper part of FIG. 5 is a graph showing the total equipment load in a time series.

  FIG. 6 shows a data configuration example of the charge request table 214. The charge request table holds information on the current storage amount sent from the storage battery mounted on the electric vehicle or the like via the charger 111 and the scheduled departure time input from the operation terminal. The reservation ID 214a, vehicle ID 214b, charger ID 214c, current storage amount 214d, scheduled departure time 214e, and storage battery capacity 214f are held. The reservation ID 214a is an ID for uniquely identifying that is set in the charge request data. As the vehicle ID 214b, an ID set for the mobile body 140 for uniquely identifying is set. The charger ID 214c is an ID for uniquely identifying the charger 111. The current storage amount 214d sets the value of the remaining charge of the mobile storage battery. The current storage amount 214d is used as an initial value when a charging plan is made. Note that the current storage amount 214d may be an SoC value. SoC is a ratio indicating how much charge is remaining with respect to the storage battery capacity 214f of the mobile body. As the scheduled departure time 214e, the value of the scheduled time at which the moving body departs from the facility 110, which is input by the user of the moving body through the operation terminal 112, is set. The storage battery capacity 214f sets a value of the amount of stored electricity (kilowatt hours) corresponding to full charge. FIG. 7 shows a processing flow of the data input unit. In S001, among the data included in the charge request table 214, data including the scheduled departure time is acquired during the planning target period, and is stored as an internal variable.

  In S002, plan conditions are acquired from the contract power information table 210, the equipment load prediction information table 212, and the charger management table 211.

  For the contract power information table 210, the contract power value is acquired and held as an internal variable. For the equipment load prediction table 212, a time-series value of power consumption corresponding to the planning target period is acquired.

  When the time series unit of the equipment load prediction table 212 is different from the plan time series unit, internal processing for aligning the units is performed. For example, if the time series unit of the equipment load prediction table is 1 hour and the time series unit of the plan is 30 minutes, the time series of the equipment load prediction table is divided into HH: 0 and HH: 30. Substitute the value at the time and hold it as an internal variable.

  From the charger management table 211, the charging performance value is acquired using the charger ID included in the charging request data acquired in S001 as a key, and held as an internal variable.

  FIG. 8 shows the processing flow of the optimum calculation unit.

In S101, an objective function and constraint conditions are created from the contract power information data, facility load prediction data, charger management data, charging plan registration data, and charging request data acquired from the data input unit 1011. Restrictions include the agreement between the demand (power consumption of mobile storage battery and equipment load) and supply (power received from the power grid) at each time t, contract power (kilowatt hours), charger charging performance, Set. The contract power amount is a value obtained by converting the contract power 210b into an amount per unit time.
In the objective function, the number 1 expressing the minimization of the amount of received power from the power system is set.

  In S102, based on the charging request data acquired from the data input unit 1011, a constraint condition that the storage amount at the scheduled departure time of the mobile storage battery is the target storage amount is created.

  As the target power storage amount, a storage battery capacity 214f corresponding to full charge is set at the time of initial planning.

  In S103, optimization calculation is performed on the generated planning problem, and an optimal solution is generated as a charging plan.

  In S104, the calculation result of the optimization calculation in S103 is determined. If the constraint condition is deviated without obtaining an optimal solution, the process shifts to the charge request adjustment unit 1013 in order to adjust the charge amount.

  Details of the processing of 1013 are shown in FIG. If the optimal solution is obtained while satisfying the constraint conditions, the process proceeds to S105.

  In S105, the plan generated as a result of performing the processing from S102 to S104 is output to the data output unit.

  FIG. 9 shows a processing flow of the charge request adjusting unit.

  In S201, the optimum calculation processing unit 1012 acquires charge request data during the planning target period. The charge request data is rearranged in order from the earliest scheduled departure time, and then rearranged in descending order of the target power storage amount.

  The charge request data at the head of the rearranged data is extracted, and a process for adjusting the charge amount is performed in S202.

  S202 is a process of deleting the target power storage amount constraint generated in S102 and adding an evaluation formula to the extracted charge request data. Specifically, the restriction condition that sets the target power storage amount at the scheduled departure time created for the charge request data extracted in S102 is deleted from the planning problem.

  Next, for the storage battery, a function that maximizes the amount of power stored at the scheduled departure time is added to the planning problem as an evaluation formula. Specifically, an expression expressed in Equation 2 is added. By changing the constraint condition of the target power storage amount to an evaluation formula, the charge amount is adjusted, and a plan for maximum charge within the range of the contract power amount or less is drawn up.

  Alternatively, in addition to the above means, the constraint condition of the target power storage amount created in S102 may be relaxed. Specifically, the adjustment condition for holding the target power storage amount in the adjustment coefficient storage unit 1014 is reset to a value obtained by multiplying the current target power storage amount, and the constraint condition is corrected. As the value of the adjustment coefficient, a predetermined constant is used in this embodiment, but a parameter set from the outside may be used.

In S203, the adjustment flag is updated. The adjustment flag is an internal variable that expresses whether or not adjustment is performed, such as creating an evaluation formula for the target power storage amount for the charging request data or correcting a constraint condition. Note that the data for which the adjustment flag has been updated is regarded as already adjusted and is not subject to the processing from S202 to S04.
In S204, a process of substituting the evaluation formula created in S202 or the modified constraint condition into an internal variable is performed.

  After the process of the charge request adjusting unit, the process returns to S103 again, and the planning process is performed with the planning problem to which the evaluation formula or the constraint condition is added in S202. The charge request adjustment unit 1013 repeats the adjustment process until the determination result in S104 becomes true.

  FIG. 10 shows a processing flow of the data output unit 1015.

  In S301, the charging plan output by the optimum calculation unit is acquired. In S302, the charging plan is output to charging plan registration table 215.

  FIG. 11 shows a data configuration example of the charging plan registration table 215. The charging plan registration table holds a charging plan for a storage battery mounted on an electric vehicle or the like created by the plan generating device 100. The charging plan registration data includes a vehicle ID 215a, a charger ID 215b, a charging start time 215c, a charging end time 215d, and a total charge amount 215e. Each item is set with a value output by the optimum calculation unit 1012. The vehicle ID 215a is set to the same ID as the vehicle ID 214b included in the charge request data. The charger / discharger ID 215c sets the same ID as the charger / discharger ID 214c included in the charge request data. The charging start time 215c sets a time at which the charger starts charging. The charging end time 215d sets a time at which the charger stops or ends charging. The total charge amount 215e sets the value of the total charge amount (kilowatt hours) to the storage battery mounted on the electric vehicle or the like from the charge start time 215c to the charge end time 215d. Note that a value obtained by adding the cumulative value (kilowatt hours) of the total charge amount 215e until the scheduled departure time to the current charge amount 214d of the electric vehicle corresponds to the target charge amount.

  FIG. 12 shows a software configuration diagram of the energy management control device 113 according to the first embodiment. The energy management control device 113 has a plan condition storage unit 1131 that is an input source of the plan generation device 100, a charge request storage unit 1132 and a charge plan storage unit 1133, and is charged via the input / output unit 1134. Various data are acquired from the charger and the mobile storage battery, and a control signal is transmitted to the charger via the command unit 1135. The plan condition storage unit holds a contract power information table 210, a charger management table 211, and an equipment load prediction table 212. The charge request storage unit holds a charge request table 214. The charging plan storage unit 1133 holds a charging plan registration table 1133 that is an output destination of the plan generation device 100.

  FIG. 13 shows a software configuration diagram of the operation terminal 112 according to the first embodiment. The operation terminal 112 includes a screen input unit 1121, an authentication unit 1122, a data storage unit 1123, and a screen output unit 1124. The screen input unit 1121 processes input information such as user information and scheduled departure time from the screen of the operation terminal by the user of the electric vehicle. User information is held in the data storage unit 1123 in advance. The authentication unit 1122 collates the user information obtained from the screen input unit 1121 with the user information held in advance by the data storage unit 1123 and performs authentication. The data storage unit 1123 holds the input information of the user who has passed the authentication and transmits it to the energy management control apparatus 1124. The screen output unit 1124 displays the processing result transmitted from the energy management control device 113.

  FIG. 14 shows a processing sequence diagram of the charging planning system according to the first embodiment.

  From the operation terminal 112, the vehicle ID, the charger ID, and the scheduled departure time are transmitted to the energy management control device 113. The energy management control device 113 acquires the vehicle ID, the capacity of the storage battery of the vehicle, and the current storage amount from the charger 111. The plan generation device 100 acquires plan condition data held by the energy management control device 113. Further, charge request data is acquired. The plan generation device 100 performs a planning process based on the acquired data, and generates charging plan data. The charging plan data is transmitted to the energy management control device 113. The energy management control device 113 transmits a control signal to the charger 111 based on the charging plan data. The above is a series of processing sequences of the charging planning system.

  Next, the effect of the plan generation apparatus in this embodiment will be described.

  Figure 15 shows that when five electric vehicles are parked in a facility with four chargers, the number of electric vehicles that can be charged increases by applying this charging planning system even if charging requests are concentrated. This shows an example of improved facility use efficiency.

  In the case of the system (a) to which the plan generation device is not applied, when a charging request is transmitted from the electric vehicle, charging is started immediately after the transmission is transmitted. For this reason, when the electric vehicles A to D transmit charging requests all at once during the daytime peak load period, the amount of received power from the power system increases and deviates from the contracted power amount. Furthermore, when there is an urgent charge request from an electric vehicle E that comes later, there is no free time, so the scheduled departure time will pass without being able to start charging.

  On the other hand, in the case of the system of (b) to which the plan generation device is applied, by adjusting the amount of charge to the electric vehicles A and E, charging can be started by the scheduled departure time of the electric vehicle E, In addition, the electric vehicle D can make a charging plan in time for the scheduled departure time and further reduce the amount of power received. The above is description about the Example and effect in 1st embodiment.

  According to the present embodiment, if the user of the electric vehicle inputs the scheduled departure time without inputting the charging start time, the power reception amount of the facility equipped with the charger is suppressed, and the electric vehicle is installed by the scheduled departure time. It is possible to increase the use efficiency of the facility while ensuring that it can be used.

  In the second embodiment, it is assumed that a moving electric vehicle makes a charge reservation from an in-vehicle terminal. The charging planning system according to the present embodiment receives charging reservation information transmitted from the in-vehicle terminal, and develops a charging plan for the charger so as to reliably reach a storage amount sufficient to move to the next destination. .

  FIG. 16 is a configuration diagram of a charging plan system according to the second embodiment.

The plan generation device 100 includes a reservation processing device 106 in addition to a storage device 101, a CPU 102, a memory 103, an input / output device 104, and a communication device 105. The mobile unit 140 includes an in-vehicle terminal unit 1401 and transmits a charge reservation to the reservation processing device 106 via the communication device 105. The reservation processing device 106 receives the charge request data from the in-vehicle terminal via the communication device 105. Further, the charging request data is set in the charging request table 214. The facility 110 is connected to the plan generation device 100 via the communication line 120. FIG. 17 shows a data configuration example of the charge request table 214 in the second embodiment. The reservation ID 2142a, vehicle ID 2142b, facility ID 2142c, next destination 2142d, current position 2142e, current storage amount 2142f, and scheduled departure time 2142g are stored.
The reservation ID 2142a sets the uniquely identified ID in the charge reservation data transmitted from the in-vehicle terminal 1401 to the plan generating device 100 by the reservation ID 2142a. As the vehicle ID 2142b, an ID for uniquely identifying the mobile object 140 is set. The facility ID 2142c is an ID for uniquely identifying the moving body 140 set in the facility 110 that is scheduled to be parked, and the ID of the facility designated when using the car share is set. When the facility cannot be used due to the operating status of the charger of the facility, the ID of another facility may be set. The next destination 2142c is the value of the location information of the destination input to the in-vehicle terminal 1401 by the user of the mobile unit 140, and is set with reference to the map information data stored in the in-vehicle terminal 1401. The current position 2142e is a value of the current position information of the moving body 140, and is set by GPS (Global Positioning System) or the like. This value may be updated at any time. As the current storage amount 2142f, the current storage amount (in kilowatt hours) of the storage battery mounted on the mobile body 140 is transmitted. This value may be updated at any time. As the scheduled departure time 2142g, the value of the scheduled time at which the mobile body 140 departs from the facility 110 where the mobile body 140 is scheduled to arrive, which is input by the owner of the mobile body 140, is set. This value may be input from the in-vehicle terminal 1401 or may be input from the operation terminal 112 provided in the facility 110.

  The processing flow of the plan generation apparatus in the second embodiment will be described below. In the second embodiment, the same processing as the processing of the data input unit 1011, the processing of the optimal calculation unit 1012 and the processing of the data output unit 1015 in the first embodiment is performed, but the processing of the charging request adjustment unit 1013 is performed. In addition to the processing in the first embodiment, the processing shown in FIG. 18 can be performed. FIG. 18 shows a processing flow of the charging request adjustment processing unit 1013 in the second embodiment.

  In S501, data including the scheduled departure time is acquired from the charging plan registration table 215 during the planning target period, and is stored as an internal variable.

  In S502, a distance is calculated from each position information from the current position of the electric vehicle to the facility and from the facility to the next destination, and is stored as an internal variable.

  In S503, the charged amount when the facility 110 arrives is estimated from the distance between the current position acquired in S502 and the facility 110 and the current charged amount data. Information on the amount of stored electricity per unit travel distance may use spec information held externally, or may use travel records so far.

  In S504, the amount of stored electricity required to move from the facility 110 to the next destination is calculated from the distance between the facility 110 calculated in S503 and the next destination. The calculation of the required amount of power storage may use the travel information so far, in addition to the spec information of the travel distance per unit power storage amount held externally.

  S505 is a process for relaxing the constraint condition of the target power storage amount of the charge request data. The constraint condition that is the target storage amount at the scheduled departure time created for the storage battery is deleted from the planning problem, and the constraint condition in which the necessary storage amount calculated in S502 is corrected to the value of the target storage amount is newly added. At this time, if the adjustment flag that is an internal variable has been adjusted, the adjustment coefficient x held in the adjustment coefficient storage unit 1014 is reset to a value obtained by multiplying the current target storage amount by the restriction. Correct the condition. As the value of the adjustment coefficient, a predetermined constant is used in this embodiment, but a parameter set from the outside may be used.

  In S506, the adjustment flag of the charge request data is updated. The adjustment flag is an internal variable that represents whether or not adjustment is performed, for example, the restriction condition of the target power storage amount is corrected in S505.

  In S507, a process of substituting the constraint condition created in S505 into an internal variable is performed.

  Next, the effect of the plan generation apparatus in this embodiment will be described.

  Figure 19 shows that when six electric vehicles are parked in a facility equipped with four chargers, the number of electric vehicles that can be charged increases by applying this charging planning system even if charging requests are concentrated. This shows an example of improved facility use efficiency.

  In the case of the system (a) to which the plan generation device is not applied, when a charging request is transmitted from the electric vehicle, charging is started immediately after the transmission is transmitted. For this reason, when the electric vehicles A to D transmit charging requests all at once during the daytime peak load period, the amount of received power increases and deviates from the contracted power amount. Furthermore, when there is an urgent charge request from an electric vehicle E or F that came later, there is no free time, so E and F will not be able to start charging and the scheduled departure time will pass.

  On the other hand, in the system (b) to which the plan generation device is applied, charging can be started by the scheduled departure time of the electric vehicle E, and the electric vehicle D is also in time for the scheduled departure time. In addition, after shortening the charging time so that the electric vehicle A is charged by an amount sufficient to reach the next destination, the electric vehicle F starts charging by the scheduled departure time. It is possible to make a charging plan that increases the use efficiency of such facilities.

  The above is description about the Example and effect in 2nd embodiment.

  According to this embodiment, according to the second embodiment of the present invention, in addition to the purpose of the first embodiment, the storage battery mounted on the mobile body such as an electric vehicle is It is possible to reliably reach a storage amount sufficient to move to the destination.

  Although the best mode for carrying out the present invention has been specifically described above, the present invention is not limited to this, and various modifications can be made without departing from the scope of the present invention. In particular, the mobile body of the first and second embodiments is assumed to be an electric vehicle, but if it is a mobile body equipped with a storage battery, it is a plug-in hybrid vehicle, a public transport such as an LRT (Light Rail Transit) or a bus. It is also applicable to the means.

  In the above embodiment, even when information and functions are distributed and held, the actual information and functions may be located anywhere as long as the apparatus can be freely used and referred to, for example, by virtually managing the apparatus.

100 plan generation device, 101 storage device, 102 CPU, 103 memory, 104 input / output device, 105 communication device, 106 reservation processing device, 110 facility, 111 charger, 112 operation terminal, 113 energy management control device, 114 facility load, 120 communication lines, 130 power lines, 140 mobile units, 210 contract power information table, 211 equipment load prediction table, 212 charger management table, 214 charge request table, 215 charge plan registration table, 1011 data input unit, 1012 optimal calculation unit, 1013 Charge request adjustment unit, 1014 Adjustment coefficient storage unit, 1015 Data output unit, 1131 Plan condition storage unit, 1132 Charge request storage unit, 1133 Charge plan storage unit, 1134 Input / output unit, 1135 Command unit, 1121 Screen input unit, 1122 Authentication unit, 1123 data storage unit, 1124 screen output unit, 1401 in-vehicle terminal unit.

Claims (9)

A charger that supplies power to a storage battery of a mobile body, an energy management control device that is connected to the charger and controls charging of the charger, and a plan generation device that is connected to the energy management control device through a network; A charging planning system comprising:
The energy management control device includes a transmission unit that transmits a plan condition and a charge request for the charger to a plan generation device via a network,
The plan generation device includes a data input unit that acquires the plan conditions of the charger and the charge request;
An optimal calculation unit that develops a charging plan based on the data acquired by the data input unit;
A data output unit for outputting the planned charging plan;
A charging plan system comprising: In the charging planning system according to claim 1,
The charge request system includes a current storage amount and a scheduled departure time. In the charging planning system according to claim 2,
The charging plan system, wherein the optimal calculation unit repeatedly corrects the charging plan until a charging plan in which a storage battery mounted on the mobile body reaches a target power storage amount by the scheduled departure time can be formulated. In the charging planning system according to claim 3,
The plan generation device further includes a charge request adjustment unit that adjusts a charge request according to a calculation result of the optimum calculation unit,
The charge request adjustment unit corrects a condition related to the charge request when there is a charge request for which a plan for reaching a target power storage amount by the optimal calculation unit by the scheduled departure time is not established. Charging plan system. In the charging plan system according to claim 4,
The plan generation device further includes an adjustment coefficient storage unit that stores an adjustment coefficient for performing the charge request adjustment.
The charge request adjustment unit adjusts the demand request based on an adjustment coefficient stored in the adjustment coefficient storage unit. In the plan generation device according to claim 5,
The optimal calculation unit makes a charging plan that satisfies the charging request and minimizes the amount of power received by the system. In the charging plan system according to any one of claims 1 to 6,
The said plan production | generation apparatus is further equipped with the reservation process part which processes the charge request | requirement transmitted from the vehicle-mounted terminal mounted in a mobile body, The charging plan system characterized by the above-mentioned. In the charging planning system according to claim 7,
The charge request system includes a current charge amount, a scheduled departure time, and information on a next destination. In the charging planning system of claim 8,
The charge request adjustment unit targets a storage amount sufficient for the mobile unit to move to the next destination when there is a charge request for which the optimal calculation unit could not make a plan for reaching the target storage amount. A charging plan system characterized by correcting a condition related to a charging request so as to obtain an amount of stored electricity.

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