Controller, operation management system, control method and control program

Abstract

To provide a controller, an operation management system, a control method and a control program, which perform control to suppress full charge of a storage battery.SOLUTION: A controller 50 which is provided in a moving body whose operation route is previously determined and controls charging of a storage battery which drives a motor of the moving body includes: a distance calculation part 53 which calculates an operation distance to a destination of the moving body; a speed acquisition part 54 for acquiring average operation speed of the moving body; a traffic jam time acquisition part 55 for acquiring traffic jam time; a getting-on / off time acquisition part 56 for acquiring getting-on / off time; and a charging time calculation part 57 for calculating charging time required for charging the storage battery. The controller calculates a reference charge amount based on the operation distance and corrects the reference charge amount based on at least one of average operation speed, traffic jam speed, getting-on / off time and charging time and calculates a required charge amount, calculates a charge rate of the storage battery from the required charge amount and performs charging to the charge rate from a stationary power storage device or a system.SELECTED DRAWING: Figure 3

Description

[Technical field]

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

[0002] 2. Description of the Related Art A system is known in which power is stored in a storage battery of a charging station by solar power generation in addition to a commercial power source, and the storage battery of an electric vehicle is charged using the stored power. Patent Documents 1 and 2 disclose a system in which a storage battery in a charging station is charged by a commercial power source and solar power generation, and a vehicle battery of an electric vehicle is charged from the storage battery. Furthermore, Patent Document 3 discloses that grid power is used at night and new energy is used during the day to store electricity in a storage battery at a charging station, and the electricity is then used to charge the storage battery of an electric vehicle. Patent Document 4 discloses predicting the amount of power generated by photovoltaic power generation and controlling the charging and discharging of a storage battery of an electric vehicle. Patent Document 5 discloses that a vehicle battery at a battery station is used as a power source to charge other vehicle batteries at night, and the vehicle batteries are charged by solar power generation during the day. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2022-89634 A [Patent Document 2] Patent Publication No. 2021-170888 [Patent Document 3] JP 2010-252587 A [Patent Document 4] JP 2010-268576 A [Patent Document 5] JP 2015-15827 A Summary of the Invention [Problem to be solved by the invention]

[0004] A storage battery has a characteristic that, when operated or put on standby with a high state of charge (SOC), especially when fully charged (SOC of 100), it is more likely to deteriorate than when the SOC is low. However, Patent Documents 1 to 5 do not consider control of a vehicle storage battery that avoids full charging.

[0005] The present disclosure has been made in consideration of the above circumstances, and aims to provide a control device, an operation management system, a control method, and a control program that perform control to prevent a storage battery from becoming fully charged. [Means for solving the problem]

[0006] In order to solve the above problems, the control device, traffic management system, control method, and control program disclosed herein employ the following means. The control device disclosed herein is a control device that is provided on a mobile body whose operating route is predetermined and controls the charging of a storage battery that drives the motor of the mobile body, and includes a distance calculation unit that calculates a traveling distance to a destination of the mobile body, a speed acquisition unit that acquires an average traveling speed of the mobile body, a congestion time acquisition unit that acquires a predicted congestion time, a boarding and alighting time acquisition unit that acquires a predicted boarding and alighting time, and a charging time calculation unit that calculates a charging time required to charge the storage battery, and calculates a standard charging amount based on the traveling distance, calculates a required charging amount by correcting the standard charging amount based on at least one of the average traveling speed, the congestion time, the boarding and alighting time, and the charging time, calculates the charging rate of the storage battery from the required charging amount, and controls to charge the storage battery from a stationary storage device or a grid up to the charging rate.

[0007] The traffic management system of the present disclosure includes the above-mentioned control device, and manages the traffic of multiple moving objects whose travel routes are determined in advance.

[0008] The control method disclosed herein is a control method executed by a computer to control charging of a storage battery provided in a mobile body whose operating route is determined in advance, and includes a distance calculation step of calculating a traveling distance to a destination of the mobile body, a speed acquisition step of acquiring an average traveling speed of the mobile body, a congestion time acquisition step of acquiring a predicted congestion time, a boarding and alighting time acquisition step of acquiring a predicted boarding and alighting time, and a charging time calculation step of calculating a charging time required to charge the storage battery, and calculates a standard charging amount based on the traveling distance, corrects the standard charging amount based on at least one of the average traveling speed, the congestion time, the boarding and alighting time, and the charging time, calculates the charging rate of the storage battery from the required charging amount, and controls to charge the storage battery from a stationary storage device or a grid up to the charging rate.

[0009] The control program of the present disclosure causes a computer to execute the above-described control method. Effect of the Invention

[0010] According to the present disclosure, the storage battery of a mobile body is charged not to a full charge but to a charging rate corresponding to a required charging amount, which is a minimum required charging amount, so that the deterioration rate of the storage battery can be suppressed. Also, the required charging amount can be made a more accurate value. [Brief description of the drawings]

[0011] [Figure 1] FIG. 1 illustrates a charging / discharging system in some embodiments of the present disclosure. [Diagram 2] FIG. 2 is a diagram illustrating an example of a hardware configuration of a control device in some embodiments of the present disclosure. [Diagram 3] FIG. 2 illustrates an example of the functionality of a control device in some embodiments of the present disclosure. [Figure 4] FIG. 4 illustrates a control flowchart of a control device in some embodiments of the present disclosure. [Diagram 5] FIG. 1 is a diagram illustrating a relationship between the amount of power generated by renewable energy and a target charging rate in some embodiments of the present disclosure. [Figure 6] FIG. 4 illustrates a control flowchart of a control device in some embodiments of the present disclosure. [Figure 7] FIG. 4 illustrates a control flowchart of a control device in some embodiments of the present disclosure. [Figure 8] FIG. 2 is a diagram showing the amount of power generated by renewable energy and the amount of power demanded by a storage battery in some embodiments of the present disclosure. [Figure 9] 1 is a schematic diagram showing the routes of moving objects and the locations of power storage devices in some embodiments of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of a control device, a traffic management system, a control method, and a control program according to the present disclosure will be described with reference to the drawings. FIG. 1 is a diagram illustrating a charging / discharging system according to some embodiments of the present disclosure. As shown in FIG. 1, a charge / discharge system 10 of this embodiment includes a renewable energy (power generation facility) 11, a grid 12, a charging station 13 equipped with a power storage device 20, and a control device 50.

[0013] The renewable energy 11 is, for example, a solar power generation facility, but may also be a wind power generation facility, a geothermal power generation facility, or the like.

[0014] The grid 12 is a power transmission and distribution network owned by an electric power company or the like, and transmits (supplies) electricity generated by power generation companies and other electricity retailers to consumers. In this embodiment, the grid 12 mainly transmits electricity generated by renewable energy 11 to consumers.

[0015] The charging station 13 is a facility equipped with a power storage device 20 that stores power supplied from the grid 12. In this embodiment, a plurality of charging stations 13 are provided. A mobile object 30 stops at the charging station 13, and a storage battery 35 that is equipped in the mobile object 30 and drives a motor (not shown) of the mobile object 30 is charged. The storage battery 35 is charged at the charging station 13 with power from the grid 12 or the power storage device 20. In this embodiment, the mobile object 30 is an electric vehicle, particularly an electric bus, and further an electric route bus (electric route bus) that is operated based on a preset schedule. The mobile object 30 is not limited to an electric vehicle, and may be any other vehicle, ship, aircraft, etc., as long as it is equipped with a storage battery 35. Since the mobile object 30 in this embodiment is an electric route bus, it is assumed that an operation plan, such as a travel route, a travel start and end time, and bus stops, is set in advance. For example, when the renewable energy 11 is generating power, the power storage device 20 and the storage battery 35 of the mobile object 30 are charged with power transmitted to the grid 12, and during times when the renewable energy 11 is not generating power or times when power consumption is high (when the power demand in the grid 12 exceeds the power generated by the renewable energy 11), power may be supplied from the power storage device 20 to the grid 12 and the storage battery 35 of the mobile object 30.

[0016] The control device 50 controls the charge / discharge system 10, in particular, the charge / discharge control of the power storage device 20 and the storage battery 35. The control device 50 controls the charging of the storage battery 35 using a charging rate (hereinafter referred to as SOC (State Of Charge)).

[0017] FIG. 2 is a diagram illustrating an example of a hardware configuration of a control device according to some embodiments of the present disclosure. 2, the control device (Controller) 50 is a computer system, and includes, for example, a CPU (Central Processing Unit: Processor) 1100, a secondary storage device (ROM, Secondary storage: Memory) 1200, a main storage device (RAM, Main Memory) 1300, a hard disk drive (HDD) 1400 as a large-capacity storage device, and a communication unit 1500 for connecting to a network or the like. Note that a solid-state drive (SSD) may be used as the large-capacity storage device. These units are connected via a bus 1800.

[0018] The CPU 1100 controls the entire control device 50 by, for example, an OS (Operating System) stored in a secondary storage device 1200 connected via a bus 1800, and executes various processes by executing various programs stored in the secondary storage device 1200. One or more CPUs 1100 may be provided, and may cooperate with each other to realize processes.

[0019] The main memory device 1300 is composed of writable memory such as cache memory or RAM (Random Access Memory), and is used as a working area for reading out programs executed by the CPU 1100 and writing data processed by the programs.

[0020] The secondary storage device 1200 is a non-transitory computer readable storage medium. The secondary storage device 1200 is, for example, a magnetic disk, a magneto-optical disk, a CD-ROM, a DVD-ROM, a semiconductor memory, or the like. Examples of the secondary storage device 1200 include a ROM (Read Only Memory), a HDD (Hard Disk Drive), and a SSD (Solid State Drive) flash memory. The secondary storage device 1200 stores, for example, an OS for controlling the entire information processing device such as Windows (registered trademark), iOS (registered trademark), Android (registered trademark), a BIOS (Basic Input / Output System), various device drivers for operating peripheral devices as hardware, various application software, and various data and files. In addition, the secondary storage device 1200 stores programs for implementing various processes and various data required for implementing various processes. A plurality of secondary storage devices 1200 may be provided, and the above-mentioned programs and data may be divided and stored in each secondary storage device 1200.

[0021] The control device 50 may also include an input unit such as a keyboard and a mouse, and a display unit such as a liquid crystal display device that displays data. The control device 50 may also include a notification unit such as a speaker that includes a display unit and outputs a lamp, sound, and in particular an alarm sound.

[0022] FIG. 3 is a diagram illustrating an example of the functionality of a control device in some embodiments of the present disclosure. As shown in FIG. 3, the control device 50 includes a SOC calculation unit 51, a charge / discharge control unit 52, a distance calculation unit 53, a speed acquisition unit 54, a traffic jam time acquisition unit 55, a boarding / alighting time acquisition unit 56, a charging time calculation unit 57, a renewable energy information acquisition unit 58, and a grid information acquisition unit 59.

[0023] A series of processes for realizing the functions of the control device 50 is stored in the secondary storage device 1200 (see FIG. 2) in the form of a program, for example, and the CPU (processor) 1100 (see FIG. 2) reads this program into the main storage device 1300 (see FIG. 2) and executes information processing and arithmetic processing to realize various functions. The program may be pre-installed in the secondary storage device 1200, provided in a state stored in another non-transient computer-readable storage medium, or distributed via wired or wireless communication means. Examples of non-transient computer-readable storage media include magnetic disks, magneto-optical disks, CD-ROMs, DVD-ROMs, and semiconductor memories.

[0024] 3 calculates the SOC of the storage battery 35 of the moving object 30. The SOC of the storage battery 35 is calculated using the output of a distance calculation unit 53, which will be described later, and at least one of the outputs of a speed acquisition unit 54, a traffic jam time acquisition unit 55, a boarding / alighting time acquisition unit 56, and a charging time calculation unit 57.

[0025] The charge / discharge control unit 52 controls charging of the storage battery 35 from the grid 12 or the power storage device 20 according to the SOC of the storage battery 35 calculated by the SOC calculation unit 51.

[0026] The distance calculation unit 53 calculates the travel distance of the mobile object 30 to the charging station 13 where the storage battery 35 will be next charged. The distance calculation unit 53 predicts the amount of discharge of the storage battery 35 based on the travel distance until the next charge. The amount of discharge predicted based on the travel distance is set as the reference charge amount for charging at the next charging station 13, and this is set as the reference charge amount E_base. The distance calculation unit 53 works in conjunction with map data to calculate the travel distance to the charging station 13 where the storage battery 35 will next be charged. In addition, the travel time when traveling at a predetermined average speed (reference speed) for the travel distance is set as the reference time t_base. The reference time t_base may be set based on information other than the speed, or may be set arbitrarily by the user.

[0027] The speed acquisition unit 54 acquires the travel speed of the moving object 30 and calculates the average travel speed of the moving object 30. The speed acquisition unit 54 acquires the delay time on the travel route to the charging station 13 where the storage battery 35 will next be charged, based on the deviation of the calculated average travel speed from a reference speed (predetermined average speed). If the average travel speed is faster than the reference speed, the delay time will be a negative value. The delay time due to the average travel speed with respect to the reference charge amount E_base is set as a correction coefficient t_v.

[0028] The traffic jam time acquisition unit 55 cooperates with a traffic jam information medium such as a traffic control center to acquire, from traffic jam information on the travel route of the mobile object 30, the traffic jam time, which is the delay time (waiting time) due to traffic jam on the travel route to the charging station 13 where the storage battery 35 will next be charged. The traffic jam time with respect to the reference charge amount E_base is set as a correction coefficient t_jam.

[0029] The boarding / alighting time acquisition unit 56 calculates the expected number of passengers on the travel route of the mobile object 30 by using past passenger number data based on the weather, calendar date, day of the week, etc., and an AI function, and calculates and acquires the boarding / alighting time on the travel route to the charging station 13 where the storage battery 35 will next be charged, based on the expected number of passengers. The boarding / alighting time for the reference charge amount E_base is set as a correction coefficient t_inout.

[0030] The charging time calculation unit 57 calculates the charging time, which is the time during which the mobile object 30 can stop at the charging station 13, that is, the time during which the storage battery 35 can be charged. The charging time for the reference charging amount E_base is set as a correction coefficient t_ct.

[0031] The renewable energy information acquisition unit 58 acquires information on the amount of power generated by the renewable energy 11 linked to the charging station 13. When the renewable energy 11 is solar power generation, power generation is limited to daytime, and the amount of power generated depends on the weather. The renewable energy information acquisition unit 58 may predict the amount of power generated by the renewable energy 11 in cooperation with weather forecast information.

[0032] The system information acquisition unit 59 acquires system voltage and frequency information of the system 12 .

[0033] The SOC calculation unit 51 corrects the base charge amount E_base using the correction coefficients t_v, t_jam, t_inout, and t_ct to calculate the required charge amount E_charge.

[0034] Next, the amount of power (required charge amount) E_charge charged at the charging station 13 that charges the storage battery 35 is expressed by the following formula (1).

[0035] [Number 1] E_charge = E_base * {(t_base + t_v + t_jam + t_inout + t_ct) / t_base}···(1)

[0036] In equation (1), at least one of the correction coefficients t_v, t_jam, t_inout, and t_ct may be used.

[0037] Moreover, SOC_act, which is the SOC of the storage battery 35 when the storage battery 35 is charged with the required charge amount E_charge, is expressed by the following formula (2).

[0038] [Number 2] SOC_act = E_charge / E_max···(2)

[0039] In formula (2), E_max is the electrical energy contained in the storage battery 35 when the storage battery 35 is fully charged. Fully charged indicates that the SOC is 100%.

[0040] The charge / discharge control unit 52 controls charging of the storage battery 35 from the grid 12 or the power storage device 20 in accordance with SOC_act, which is the SOC of the storage battery 35 calculated by the SOC calculation unit 51.

[0041] The charge / discharge control unit 52 determines whether to use the grid 12 or the storage device 20 to charge the storage battery 35 based on the power generation information of the renewable energy 11 acquired by the renewable energy information acquisition unit 58, the system voltage and frequency information of the grid 12 acquired by the grid information acquisition unit 59, and the amount of electricity stored in the storage device 20 of each charging station 13.

[0042] Fig. 4 is a control flowchart of the control device 50 in some embodiments of the present disclosure, specifically, a diagram showing an example of a flowchart for calculating the required charge amount E_charge of the storage battery 35. In Fig. 4, for example, the presence or absence of traffic congestion time and boarding and disembarking time is determined to calculate the required charge amount E_charge. A similar determination may be made when determining the presence or absence of delay time due to average travel speed and charging time.

[0043] The distance calculation unit 53 of the control device 50 calculates the travel distance of the mobile body 30 to the charging station 13 where the storage battery 35 will next be charged, and sets the discharge amount predicted based on the travel distance as the reference charge amount for charging at the next charging station 13, and sets this as the reference charge amount E_base (S401).

[0044] In step S402, it is determined whether or not there is a traffic jam time acquired by the traffic jam time acquisition unit 55. If a delay time due to traffic jam occurs, the process proceeds to step S403. On the other hand, if a delay time due to traffic jam does not occur, the process proceeds to step S406.

[0045] In step S403, it is determined whether or not there is a boarding / alighting time acquired by the boarding / alighting time acquisition unit 56. If there is a delay time due to passengers getting on and off, the process proceeds to step S404. On the other hand, if there is no delay time due to passengers getting on and off, the process proceeds to step S405.

[0046] In step S404, if there is traffic congestion time and boarding / alighting time, the base charge amount E_base is corrected using the correction coefficients t_jam and t_inout, and the required charge amount E_charge is calculated as in equation (3).

[0047] [Number 3] E_charge = E_base * {(t_base + t_jam + t_inout) / t_base}···(3)

[0048] In step S405, if there is only traffic congestion time, the base charge amount E_base is corrected using the correction coefficient t_jam, and the required charge amount E_charge is calculated as shown in equation (4).

[0049] [Number 4] E_charge = E_base * {(t_base + t_jam) / t_base}···(4)

[0050] In step S406, it is determined whether or not there is a boarding / alighting time acquired by the boarding / alighting time acquisition unit 56. If there is a delay due to passengers getting on and off, the process proceeds to step S407. On the other hand, if there is no delay due to passengers getting on and off, the process proceeds to step S408.

[0051] In step S407, if there is only a boarding / alighting time, the base charging amount E_base is corrected using the correction coefficient t_inout, and the required charging amount E_charge is calculated as shown in equation (5).

[0052] [Number 5] E_charge = E_base * {(t_base + t_inout) / t_base}···(5)

[0053] In step S408, if there is neither traffic congestion time nor boarding / alighting time, the required charge amount E_charge is calculated as in equation (6).

[0054] [Number 6] E_charge = E_base (6)

[0055] FIG. 5 is a diagram illustrating a relationship between the amount of generated power from renewable energy and a target charging rate in some embodiments of the present disclosure. In Fig. 5, the vertical axis is the target charging rate of the power storage device 20, and the horizontal axis is the expected power generation amount of the renewable energy 11 (proportion to the expected maximum power generation amount of the renewable energy). Both the target charging rate and the expected power generation amount are shown in % (percentage). As shown by the solid line in Fig. 5, the graph shows a downward sloping trend such that as the expected power generation amount increases, the target charging rate decreases.

[0056] The power storage device 20 of this embodiment is charged using renewable energy 11. Specifically, surplus power from the renewable energy 11 is transmitted to the charging station 13 via a grid 12. This allows the storage battery 35 of the mobile object 30 and the power storage device 20 to be charged at a low electricity rate. The amount of power generated by the renewable energy sources 11 is predicted in advance by a power generation forecast. For example, the predicted amount of power generated varies depending on the weather.

[0057] The target charging rate of the power storage device 20 is set to 10% when the expected power generation amount of the renewable energy 11 is 100%, and the target charging rate is increased as the expected power generation amount decreases, and the target charging rate is set to 100% when the expected power generation amount is 10%. In this way, when the expected power generation amount is predicted to be low, the storage battery 35 of the mobile object 30 and the power storage device 20 are charged at night in advance to compensate for this. On the other hand, when the expected power generation amount is predicted to be high, charging during the day is expected to be possible (the required power can be covered by the power generated by the renewable energy 11), and the charging of the power storage device 20 is kept low.

[0058] FIG. 6 is a diagram illustrating an example of a control flowchart of the control device in some embodiments of the present disclosure, specifically, a flowchart of charge / discharge control of the power storage device 20. The amount of power generated by the renewable energy source 11 increases or decreases depending on the weather, etc. The power demand of the multiple mobile objects 30 increases or decreases depending on the time of day, the weather, the number of passengers getting on and off, etc. In order to eliminate the deviation between the amount of power generated by the renewable energy source 11 and the power demand of the multiple mobile objects 30, the power storage device 20 is used.

[0059] The power storage device 20 is charged via the grid 12 in a charging mode in which charging is performed from the renewable energy 11 (S601). This allows the power storage device 20 to be operated at a high SOC (to be able to satisfy the required SOC). In addition, the storage battery 35 of the mobile object 30 in standby may also be charged from the renewable energy 11 via the grid 12.

[0060] In step S602, the control device 50 judges whether or not the amount of power generated by the renewable energy 11 falls below the power demand of the multiple mobile objects 30. If it is judged that the amount of power generated by the renewable energy 11 falls below the demand, the process proceeds to step S603. On the other hand, if it is judged that the amount of power generated by the renewable energy 11 does not fall below the demand, that is, it exceeds or is equal to the demand, the judgment of step S602 is performed again.

[0061] When it is determined that the amount of power generation from the renewable energy 11 falls short of the demand, the power storage device 20 switches to a discharging mode in which the storage battery 35 of the mobile object 30 is charged via the charging station 13, and discharges the power (S603). In addition, the storage battery 35 of the waiting mobile object 30 may also discharge power to the storage battery 35 of another mobile object 30.

[0062] FIG. 7 is a diagram illustrating a control flowchart of the control device in some embodiments of the present disclosure. Almost all of the mobile objects 30 are on standby during the night (late night hours) and often charge their batteries in preparation for operation the next day. As for the power storage device 20, the following control is performed since the amount of discharge to the mobile objects 30 decreases.

[0063] At night, the number of moving bodies 30 in operation decreases, so the power storage device 20 switches to a nighttime operation mode (S701).

[0064] In step S702, the control device 50 judges whether the weather forecast for the next day is rain or not. If it is judged that the weather forecast for the next day is rain, the process proceeds to step S703. On the other hand, if it is judged that the weather forecast for the next day is not rain, the process proceeds to step S704. The judgment in step S702 may be made based on, for example, the expected sunshine hours, as long as it is possible to predict the power generation of the renewable energy 11.

[0065] If it is determined that the weather forecast for the next day is rainy, since the power generation from the renewable energy 11 is hardly expected for the next day, the power storage device 20 switches to a nighttime charging mode and charges using inexpensive power at night (S703). At the same time, the storage battery 35 of the mobile object 30 on standby may also be charged from the grid 12.

[0066] If it is determined that the weather forecast for the next day is not rainy, it is expected that the renewable energy source 11 will generate power and the power supply will be smooth the next day, so the power storage device 20 switches to a nighttime standby mode and waits without charging (S704).

[0067] This control is a judgment in the case where the renewable energy 11 is solar power generation. For example, when the renewable energy 11 is wind power generation, a judgment is made based on wind volume prediction, and it is sufficient to be able to predict the power generation of the renewable energy 11. The judgment method can be changed depending on the type of power generation source.

[0068] FIG. 8 is a diagram illustrating the amount of power generated by renewable energy and the amount of power demanded by a storage battery in some embodiments of the present disclosure. In Fig. 8, the vertical axis represents the amount of power (%) and the horizontal axis represents time. The solid lines in Fig. 8 represent the amount of power demanded by multiple mobile objects 30, the dashed lines represent the amount of power generated by the renewable energy source 11, and the dashed-dotted lines represent the amount of charging of the mobile objects 30 according to the expected amount of power generated by the renewable energy source 11. It is assumed that the amount of power demanded by the mobile objects 30 remains almost constant at 40%.

[0069] As shown in Fig. 8, for example, it is assumed that the amount of power generated by the renewable energy 11 is predicted to decrease sharply between 13:00 and 14:00. If the renewable energy 11 is solar power generation, for example, a raincloud radar can be used to predict the weather, and the amount of power generation can be predicted based on the most recent prediction.

[0070] When the predicted power generation amount of the renewable energy 11 is predicted to decrease rapidly and falls below the power demand of the multiple mobile objects 30, there is a risk of power shortage. Therefore, when a rapid decrease in the predicted power generation amount is predicted, the storage battery 35 or the power storage device 20 of the mobile object 30 is charged in advance from the grid 12. As shown by the dashed line in FIG. 8, the storage battery 35 or the power storage device 20 of the mobile object 30 is charged with more power than the power demand (for example, 50%) during the time period from 11:30 to 12:00. During the time period when the power generation amount of the renewable energy 11 falls below the demand, the mobile object 30 may travel using the charging power of the storage battery 35 of the mobile object 30 that was charged in advance, or the storage battery 35 may be charged from the power storage device 20 of the charging station 13.

[0071] FIG. 9 is a schematic diagram showing routes of moving objects and locations of power storage devices in some embodiments of the present disclosure. In FIG. 9, circles indicate stops of the mobile object 30, and solid lines connecting the circles indicate the route of the mobile object 30. As shown in FIG. 9, charging stations 13 are provided at multiple stops on the route. Although the renewable energy source 11 is provided near the route, the renewable energy source 11 may be provided at a location away from the route. However, in order to efficiently transmit power from the renewable energy source 11, it is preferable that the renewable energy source 11 is provided near the route. The mobile object 30 travels on the route and departs from and arrives at stops according to a predetermined operating route.

[0072] A traffic control system 1 manages the operation of a plurality of moving bodies 30 traveling on a route. The traffic control system 1 determines in advance the operation routes of the plurality of moving bodies 30. Since the operation management of the moving bodies 30 includes the management of charging and discharging of the storage batteries 35 of the moving bodies 30, the traffic control system 1 is provided with a control device 50.

[0073] The traffic management system 1 monitors and acquires the current positions of a plurality of moving objects 30 that are in motion and the current positions of a plurality of moving objects 30 that are waiting.

[0074] When a time period occurs in which the amount of power generated by the renewable energy 11 is predicted to fall below the amount of power demanded by the multiple mobile objects 30, the control device 50 switches the power storage device 20 to the discharge mode (steps S602 and S603 in FIG. 6). The traffic management system 1 determines the charging station 13 that will next charge the storage battery 35 from the current position of the mobile object 30 while traveling, and calculates a predicted charging time, which is the time required to next charge the storage battery 35, and a predicted amount of power demanded by the storage battery 35, based on the distance from the current position of the mobile object 30 to the charging station 13.

[0075] The storage device 20 of the confirmed charging station 13 is charged in advance as shown in FIG. 8 based on the predicted power generation amount of the renewable energy 11 and the operation schedule of the mobile object 30, i.e., information such as the predicted charging time and predicted power demand from the operation management system 1, thereby enabling smooth discharging to the storage battery 35 of the mobile object 30.

[0076] In addition, the storage battery 35 of the mobile object 30 deteriorates due to repeated charging and discharging, but it is known that the degree of deterioration varies depending on various factors. The average travel speed, traffic jam time, boarding and alighting time, and charging time all contribute to the deterioration of the storage battery 35, and each factor differs depending on the route on which the mobile object 30 travels.

[0077] Regarding the average travel speed, when the speed is high, a large amount of current is discharged in a short period of time, which results in a large amount of heat being generated and causes the deterioration of the storage battery 35 to progress.

[0078] Regarding traffic congestion time, if traffic congestion occurs near the charging station 13 where the mobile object 30 has charged, the mobile object 30 will be on standby with a high SOC, which will cause storage deterioration and accelerate deterioration of the storage battery 35. The traffic congestion time acquisition unit 55 cooperates with a traffic congestion information medium to acquire the traffic congestion position, which is the position where the traffic congestion occurred, along with the traffic congestion time. In this embodiment, the traffic congestion position is included in the traffic congestion time.

[0079] Regarding boarding and alighting times, if the number of passengers increases near the charging station 13 where the mobile object 30 has been charged, the mobile object 30 will wait at a high SOC, which will cause storage deterioration and accelerate deterioration of the storage battery 35. The boarding and alighting time acquisition unit 56 acquires the expected number of passengers and the boarding and alighting locations calculated using past passenger number data and AI functions, along with the boarding and alighting times. In this embodiment, the boarding and alighting times include the expected number of passengers and the boarding and alighting locations.

[0080] Regarding charging time, if the mobile object 30 is unable to allocate sufficient time for charging at the charging station 13, i.e., if the operation schedule is too tight, a large amount of current is charged in a short period of time, which results in a large amount of heat being generated and accelerates the deterioration of the storage battery 35.

[0081] The traffic management system 1 calculates the deterioration rate of each route based on at least one of the average travel speed, the traffic jam time, the boarding / alighting time, and the charging time.

[0082] The traffic management system 1 changes the allocation of the mobile objects 30 to routes based on the deterioration rate of each route, and manages the operation schedule of the mobile objects 30. The traffic management system 1 manages the operation of the mobile objects 30 according to the degree of deterioration of each storage battery 35 (SOH: States Of Health, an index representing the deterioration state of the battery).

[0083] The traffic management system 1 calculates the average SOH of all the mobile objects 30, and changes the mobile objects 30 equipped with the storage batteries 35 that are lower than the average SOH (high degree of deterioration) to a route with a lower deterioration rate, or suspends the operation of the mobile objects 30. A route with a low deterioration rate is a route on which the deterioration of the storage batteries 35 of the mobile objects 30 operating on the route tends to be slow. If it is possible to transfer the storage batteries 35 from the mobile objects 30, only the storage batteries 35 may be changed to a route with a lower deterioration rate. For example, if the SOH of the storage batteries 35 is 4% lower than the average SOH, assuming that the design life of the storage batteries 35 is 15 years and the allowable SOH is 70% or more, it is considered that the storage batteries 35 have deteriorated for two years. The SOH of the storage batteries 35 is lower in the route with slow deterioration (route with low deterioration rate) than in the route with advanced deterioration (route with high deterioration rate), and therefore the life of the storage batteries 35 is longer. A route with a low deterioration rate is, for example, a route with a slow average travel speed, a congestion location or a boarding / alighting location (bus stop) with many passengers that is far from the charging station 13, a dispersed travel schedule, and a short travel distance. By being redirected to a route with a dispersed travel schedule or a short travel distance, the storage battery 35 can have a long charging time and standby time.

[0084] The traffic management system 1 may prioritize the storage batteries 35 according to their SOH and manage the operation of the mobile object 30 according to the priorities. The traffic management system 1 performs optimization so that the deterioration of the storage batteries 35 is uniform and the storage batteries 35 have a long life overall.

[0085] <Additional Notes> The control device, the operation management system, the control method, and the control program described in the above-described embodiments can be understood, for example, as follows.

[0086] A control device (50) according to a first aspect of the present disclosure is a control device provided in a mobile body (30) whose travel route is determined in advance, and controls charging of a storage battery (35) that drives a motor of the mobile body, and includes a distance calculation unit (53) that calculates a travel distance to a destination of the mobile body, a speed acquisition unit (54) that acquires an average travel speed of the mobile body, a congestion time acquisition unit (55) that acquires a predicted congestion time, a boarding and alighting time acquisition unit (56) that acquires a predicted boarding and alighting time, and a charging time calculation unit (57) that calculates a charging time required to charge the storage battery, and calculates a reference charge amount based on the travel distance, corrects the reference charge amount based on at least one of the average travel speed, the congestion time, the boarding and alighting time, and the charging time, calculates a charging rate of the storage battery from the required charge amount, and controls charging to be performed from a stationary storage device (20) or a grid (12) up to the charging rate.

[0087] Since the battery of the mobile body is charged not to a full charge but to a charging rate corresponding to a required charging amount, which is a minimum required charging amount, the deterioration rate of the battery can be suppressed. Also, since the required charging amount is calculated by correcting based on at least one of the average travel speed, the traffic jam time, the boarding / alighting time, and the charging time, the required charging amount can be a more accurate value.

[0088] In the control device according to the second aspect of the present disclosure, in the first aspect, the stationary electricity storage device may be charged using renewable energy (11).

[0089] This makes it possible to quantify the fluctuating power from renewable energy sources by using a stationary power storage device that charges the vehicle, and also allows the vehicle to be operated in an environmentally friendly manner.

[0090] The control device according to a third aspect of the present disclosure may be configured in the second aspect to charge the storage battery of the mobile object from the stationary power storage device during a time period when power consumption is higher than other time periods.

[0091] This allows electricity that has been charged in advance from renewable energy sources to be used during times of high power consumption, making it possible to supply electricity that meets demand even if demand exceeds the amount of electricity generated during times of high power consumption.

[0092] The control device according to a fourth aspect of the present disclosure, in the second or third aspect, may charge and discharge the stationary power storage device based on a power generation prediction of the renewable energy and an operation schedule of the mobile object.

[0093] This makes it possible to charge a stationary energy storage device in accordance with trends in electricity consumption, such as using surplus electricity to charge a stationary energy storage device during times when renewable energy generation is high, or charging the stationary energy storage device in advance for times when mobile body electricity consumption is high.

[0094] A traffic management system (1) according to a fifth aspect of the present disclosure includes the control device according to any one of the first to fourth aspects, and manages the traffic of a plurality of moving objects whose travel routes are determined in advance.

[0095] The traffic management system according to a sixth aspect of the present disclosure may, in the fifth aspect, when the degree of deterioration of the storage battery of the mobile body is high, change the mobile body to a route having a lower deterioration rate, or suspend operation of the mobile body.

[0096] As a result, if the deterioration rate of a storage battery is high, the deterioration rate can be suppressed by changing to a route with a lower deterioration rate or suspending operation, thereby averaging out the deterioration rates of the storage batteries of multiple mobile bodies.

[0097] The operation management system according to a seventh aspect of the present disclosure may, in the sixth aspect, calculate the deterioration rate of each of the operation routes based on at least one of the average operation speed, the congestion time, the boarding / alighting time, and the charging time, and manage the operation of the mobile body based on each of the deterioration rates.

[0098] This makes it possible to obtain a more accurate value for the deterioration rate of the storage battery of the mobile body, enabling highly accurate management, and making it possible to more evenly average out the deterioration rates of the storage batteries of multiple mobile bodies.

[0099] A control method (50) according to an eighth aspect of the present disclosure is a control method for controlling charging of a storage battery provided in a mobile body whose operating route is determined in advance, and includes a distance calculation step for calculating a traveling distance to a destination of the mobile body, a speed acquisition step for acquiring an average traveling speed of the mobile body, a congestion time acquisition step for acquiring a predicted congestion time, a boarding / alighting time acquisition step for acquiring a predicted boarding / alighting time, and a charging time calculation step for calculating a charging time required to charge the storage battery, and is executed by a computer to calculate a reference charging amount based on the traveling distance, calculate a required charging amount by correcting the reference charging amount based on at least one of the average traveling speed, the congestion time, the boarding / alighting time, and the charging time, calculate a charging rate of the storage battery from the required charging amount, and control to charge the storage battery from a stationary storage device or a grid up to the charging rate.

[0100] A control program (50) according to a ninth aspect of the present disclosure causes a computer to execute the control method according to the eighth aspect. [Explanation of symbols]

[0101] 1 Traffic control system 10. Charging and discharging system 11 Renewable Energy 12 strains 13. Charging Station 20 Energy storage device (stationary energy storage device) 30 Mobile 35 Storage battery 50 Control device 51 SOC calculation section 52 Charge / discharge control unit 53 Distance calculation unit 54 Speed ​​acquisition section 55 Traffic jam time acquisition unit 56 Boarding and alighting time acquisition section 57 Charging time calculation section 58 Renewable Energy Information Acquisition Department 59 System information acquisition section 1100 CPU 1200 Secondary storage 1300 Main storage 1500 Communications Department 1800 Bus

Claims

1. A control device that controls charging of a storage battery that drives a motor of a moving body that has a predetermined travel route, a distance calculation unit that calculates a travel distance to a destination of the moving object; A speed acquisition unit that acquires an average travel speed of the moving object; A traffic jam time acquisition unit that acquires a predicted traffic jam time; A boarding / alighting time acquisition unit that acquires a predicted boarding / alighting time; A charging time calculation unit that calculates a charging time required for charging the storage battery; Equipped with Calculating a reference charging amount based on the travel distance; Calculating a required charging amount by correcting the reference charging amount based on at least one of the average travel speed, the traffic jam time, the boarding / alighting time, and the charging time; A control device that calculates the charging rate of the storage battery from the required charging amount and controls charging from a stationary power storage device or a system up to the charging rate.

2. The control device according to claim 1 , wherein the stationary power storage device is charged using renewable energy.

3. The control device according to claim 2 , wherein the stationary power storage device charges the storage battery of the mobile object during a time period when power consumption is higher than other time periods.

4. The control device according to claim 2 , wherein charging and discharging of the stationary power storage device is performed based on the predicted amount of power generation of the renewable energy and an operation schedule of the mobile object.

5. A control device according to any one of claims 1 to 4, A traffic management system that manages the operation of multiple moving objects whose routes are determined in advance.

6. The traffic management system according to claim 5 , wherein, when the degree of deterioration of the storage battery of the mobile body is high, the mobile body is changed to the route having a lower deterioration rate, or the operation of the mobile body is suspended.

7. 7. The traffic management system according to claim 6, further comprising: a deterioration rate for each of the travel routes based on at least one of the average travel speed, the traffic congestion time, the boarding / alighting time, and the charging time; and a management system for managing the travel of the mobile body based on each of the deterioration rates.

8. A control method for controlling charging of a storage battery provided in a moving object whose travel route is determined in advance, comprising: a distance calculation step of calculating a travel distance to a destination of the moving object; A speed acquisition step of acquiring an average travel speed of the moving object; A traffic jam time acquisition step of acquiring a predicted traffic jam time; A boarding / alighting time acquisition step of acquiring a predicted boarding / alighting time; a charging time calculation step of calculating a charging time required for charging the storage battery; Equipped with Calculating a reference charging amount based on the travel distance; Calculating a required charging amount by correcting the reference charging amount based on at least one of the average travel speed, the traffic jam time, the boarding / alighting time, and the charging time; A control method executed by a computer, which calculates the charging rate of the storage battery from the required charging amount and controls charging from a stationary power storage device or a grid up to the charging rate.

9. A control program for causing a computer to execute the control method according to claim 8.

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