JP2008067418A - Charging control method, electricity accumulator and charging control system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a charging control method for suppressing burden on a power supply facility or a power system when the storage battery of an electricity accumulator is charged, and for managing the state of charge to a higher degree. <P>SOLUTION: The charging control method of an electricity accumulator monitors the state of charge of a storage battery, determines charging control information including the information of a time period for charging the storage battery from the charging recommendation time period information on the power supply side and the control factor information including the state of charge, and charges the storage battery based on the charging control information. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a charge control method for a power storage device using a secondary battery, a power storage device, and a charge control system.

  Power supply devices, vehicles, or vehicle-mounted devices that use the power supplied from the power storage device as part or all of the drive energy source are beginning to attract attention as measures for energy saving and noise or exhaust gas suppression. These have advantages in that energy use efficiency is high and exhaust gas can be suppressed and noise reduction is easy as compared with the case of driving only by an internal combustion engine.

Specific examples include a vehicle equipped with a driving battery such as a hybrid vehicle, an electric vehicle, and an electric forklift, an electric work table for an aerial work vehicle, and a battery-powered mobile power supply facility (Non-Patent Document 1). In addition, the current commercial hybrid vehicle covers the necessary power only by power generation by the internal combustion engine, but a plug-in hybrid vehicle that increases the capacity of the installed power storage device and strengthens the color as an electric vehicle is planned. Yes. In this case, it can be expected that the energy use efficiency is improved over the current hybrid vehicle by positively charging from an external power source.
Toyota Loom homepage Electric forklift function explanation <URL: http: // www. toyota-lf. com / instruction / geneo_b / show / index. html>

  The power storage devices of these vehicles or facilities need to be charged in advance or can be used to increase energy use efficiency, Will be left to the user. For this reason, in factories and offices that have a large number of power storage device-equipped vehicles, for example, if charging starts at the same time as the work end time, the supply capacity of the power supply equipment must be exceeded or the power supply equipment must be strengthened to meet the peak. Or become inefficient.

  As a countermeasure, the method disclosed in Non-Patent Document 1 uses the charge start reservation timer function and the charge end time function to shift the charge start time and the end time, thereby distributing the peak of power demand due to charging. Is possible. However, with this method, the charging time zone is changed as appropriate considering the situation of other power demands of the power supply equipment and the situation of the higher-level power system, or the charging target is changed according to the remaining charge and the future use schedule. It is difficult to appropriately change the priority order.

  In the future, if power storage device-equipped vehicles spread to individual homes, there is a risk that demand for charging will concentrate during a certain period of time, but the vehicle owners must communicate with each other for load leveling and manually It is impractical to change the setting of the charging time zone.

  In this way, it is desirable to control the charging in consideration of the battery use schedule and the situation on the power supply side described above. However, as described above, in the conventional charging system, the charging start operation by the user or individual charging is performed. Since it is left to the control of the device, it is practically difficult to control in consideration of both the planned use of the battery and the situation on the power supply side.

  The present invention has been made in order to solve the above-described problems. When charging a storage battery of a power storage device, the burden on the power supply facility and the power system can be suppressed, and the remaining charge can be managed to a higher degree. It is an object of the present invention to provide a charge control method, a power storage device, and a charge control system.

The charge control method of the present invention for achieving the above object is a charge control method of a power storage device,
Monitor the remaining charge of the storage battery,
Determining charging control information including information on a time zone for charging the storage battery from control factor information including the recommended charging time zone information on the power supply side and the remaining charge amount;
The storage battery is charged based on the charge control information.

  In the present invention, since the storage battery is controlled to be charged in the time zone obtained based on the recommended charging time zone information, the storage battery can be efficiently charged in accordance with the situation on the power supply side.

  According to the present invention, the load on the power supply side such as the power system and the power supply facility is obtained by obtaining the optimum time zone for charging the storage battery from the information on the remaining charge amount of the storage battery and the information on the recommended charging time zone. Can be avoided, and the utilization rate of electric power equipment can be improved. Therefore, economical and efficient power equipment operation becomes possible.

  Further, by operating as an adjustment means that cancels out output fluctuations of wind power generation and solar power generation, it is possible to mitigate the influence that power generation output cannot be controlled or difficult power generation facilities have on the power system.

(First embodiment)
The configuration of the charge control system for the power storage device in this embodiment will be described.

  FIG. 1 is a block diagram showing a configuration example of the charge control system of the present embodiment.

  As shown in FIG. 1, the charging control system of the present embodiment has a configuration that includes a power storage device 3 and a charging device 6. The power storage device 3 includes a storage battery 1, a battery management unit 2 that monitors the remaining charge of the storage battery 1, and a transmission unit 33 that transmits information to the charging device 6. The charging device 6 includes a receiving unit 31 that receives information from the power storage device 3, a charging control unit 4, a calculation unit 32, and a charging power conversion unit 5.

  The charging device 6 is connected to an external power system or a power supply facility control unit (hereinafter simply referred to as a power supply facility control unit) 7 through a signal line. The charging power conversion unit 5 is connected to a power supply line that receives power supply from the outside, and the charging power conversion unit 5 and the storage battery 1 are connected by a power supply line. The transmission unit 33 of the power storage device 3 and the reception unit 31 of the charging device 6 are connected by a communication means such as a signal line or wireless. The configuration of each device will be described in detail below.

  The battery management unit 2 of the power storage device 3 monitors the remaining charge of the storage battery 1 and passes the information to the transmission unit 33. The transmission unit 33 transmits the remaining charge information to the reception unit 31 of the charging device 6. The charging control unit 4 includes a CPU (Central Processing Unit) (not shown) that executes predetermined processing according to a program, and a memory (not shown) for storing the program.

  Receiving unit 31 of charging device 6 receives the remaining charge information from power storage device 3 and passes the information to charging control unit 4. In addition, when receiving the power supply related information including the recommended charging time zone information or the permissible power information for each time zone (information on the amount of power that can be allowed to be supplied for each time zone) from the power supply equipment control unit 7, the power supply related information is transmitted to the charge control unit 4. To pass. Since the remaining charge information and the power feeding related information are basic information that becomes a factor in controlling charging, these pieces of information are referred to as control factor information. Note that the power supply related information may include time unit power unit price information (time unit power unit price information).

  Here, the recommended charging time zone information will be described. The recommended charging time zone information is information indicating an optimal time zone for charging. Usually, the power demand is high during the time when people are actively active, and the power demand is low during the time when many people are sleeping. The electric power company makes the power unit price in the time zone when the power demand is low lower than the time zone where the power demand is high. Therefore, it is desirable to charge in the time zone when the power demand is low.

  A case where the recommended charging time zone is specified most simply will be described. For example, if the power unit price is lower from 10 pm to 8 am than other times, the recommended charging time zone is designated between 10 pm and 8 am.

  A case where the recommended charging time zone is specified at a higher level will be described. FIG. 2 is a graph showing charging priorities according to time zones. The horizontal axis represents time, and the vertical axis represents a priority coefficient indicating the priority of charging for each time zone in units of one hour. The value of the priority coefficient is represented by a bar graph so that it becomes larger in a time zone where there is less demand for other power and the remaining capacity for use is larger. It is possible to specify a recommended charging time zone corresponding to the priority coefficient of this graph. From the graph of FIG. 2, it is desirable that the recommended charging time zone is from 2 am to 6 am. And it turns out that the form which makes the peak of charge amount come from 4:00 am to 5:00 am becomes optimal.

  It should be noted that the unit price of power from 8 am to 10 pm is higher than the time from 10 pm to 8 am, and there is much demand for other power, which is not suitable for charging. Therefore, in this graph, the priority coefficient from after 8 am to 10 pm is set to zero.

  The configuration including the calculation unit 32 and the charging control unit 4 includes a CPU (not shown) that executes predetermined processing according to a program and a memory (not shown) for storing the program. By executing, each of the charge control unit 4 and the calculation unit 32 performs the following operation.

  The charging control unit 4 passes the remaining charge information and the recommended charging time zone information received from the receiving unit 31 to the calculation unit 32. The calculation unit 32 obtains charge control information including at least one information of an optimal charge time zone or a charge amount by time zone from the remaining charge information and the recommended charge time zone information, and obtains the charge control information from the charge control unit. Pass to 4. The charging control unit 4 controls the charging power conversion unit 5 so as to charge the storage battery 1 according to the charging method of the charging control information.

  The optimum charging time zone is, for example, from 2 am to 6 am shown in FIG. The optimal amount of charge for each time zone is, for example, the total amount of charge required for each hour of 1 hour from 3 am, 1 hour from 4 am, and 1 hour from 5 am Represents the amount of charge divided into 3: 5: 2.

  Although the recommended charging time zone information may be obtained from the outside, the calculation unit 32 may determine the recommended charging time zone information from the per-time zone allowable power information and the per-time zone power unit price information. Further, the calculation unit 32 may use pseudo time unit power price information instead of the priority coefficient in the graph of FIG. 2 so that the pseudo unit price is reduced in a time zone with a lighter power load. .

  In this way, the charging device 6 sets the priority coefficient corresponding to the power unit price from early morning to early morning, selects it as a charging time zone in preference to a time zone with a lighter power load, It can be controlled to increase. As a result, the charging cost of the storage battery 1 is optimized to be the lowest.

  Next, operation | movement of the charge control system of this embodiment is demonstrated.

  FIG. 3 is a flowchart showing the operation procedure of the charge control system of the present embodiment.

  The battery management unit 2 of the power storage device 3 monitors the remaining charge of the storage battery 1 (step 101), and transmits information on the remaining charge to the charging device 6 via the transmission unit 33 (step 102).

  When the charging control unit 4 of the charging device 6 receives the remaining charge information from the power storage device 3 and receives the recommended charging time zone information from the power supply equipment control unit (not shown), the charge for charging is determined from these control factor information. The information on the charging time zone or the charging amount by time zone that is optimized so as to be reduced most is obtained (step 103). Then, the charge control unit controls the charge power conversion unit 5 based on the charge control information including at least one of these two information, and charges the storage battery 1 (step 104).

  In the above optimization, if optimization algorithms such as genetic algorithm and tab search are used, even when the power unit price and allowable power change discontinuously for each time zone, optimization including economic efficiency is easy. It becomes.

  The charge control system according to the present embodiment uses the charge remaining time information received from the power storage device and the recommended charge time zone or the permissible power information for each hour based on the request or designation of the power system or the power supply side. By optimizing the amount of charge separately, it is possible to avoid the concentration of loads on the power system and the power supply equipment, and to improve the utilization rate of the power equipment.

  In general, it is more advantageous to charge in the midnight time zone where the power load is low and the unit price of electricity is cheaper in terms of cost leveling and efficient operation of the power generation facilities. In many cases, it is more advantageous for the electric power system and the power supply equipment to charge mainly in the early hours when consumption is less. In the optimization according to the present embodiment, it is possible to operate the power facility economically and efficiently by considering the power unit price information by time zone and the recommended time zone information.

Note that a storage unit may be provided in the charging device 6, and power supply related information such as recommended charging time zone information may be recorded by the administrator operating the charging device 6 in the storage unit. Further, in the configuration shown in FIG. 1, the power storage device 3 and the charging device 6 are separated, but it is not always necessary to separate them, and as shown in FIG. 4, the charging device 6 is placed inside the power storage device 3 f. It is good also as a structure including an equivalent part. Also in this case, as illustrated in FIG. 5, the storage unit 34 may be provided in the power storage device 3 g instead of the reception unit 31, and the administrator may record the power feeding related information in the storage unit 34 in advance.
(Second Embodiment)
A configuration of the charge control system of the present embodiment will be described.

  FIG. 6 is a block diagram showing a configuration example of the charge control system of the present embodiment. In addition, the same code | symbol is attached | subjected about the structure similar to the structure demonstrated in 1st Embodiment, and the detailed description is abbreviate | omitted.

  As shown in FIG. 6, the charge control system of the present embodiment includes a control device 11 provided in the control center, and a plurality of power storage devices 3 a connected to the control device by signal lines. The control device 11 is connected to each of the power generation device 13 and the power load 12. Note that a plurality of power storage devices are provided, but one power storage device may be provided.

  The power storage device 3a has a configuration in which the calculation unit 32 is removed from the configuration in which the charging device 6 and the power storage device 3 described in the first embodiment are integrated. As illustrated in FIG. 6, the power storage device 3 a includes a reception unit 51 that receives information from the control device 11, a charge control unit 4 a, a charge power conversion unit 5 a, a storage battery 1, a battery management unit 2, and a control device. 11 and a transmission unit 52 that transmits information to the computer 11.

  The control device 11 includes a demand prediction unit 8 that predicts power demand in the power system or the power supply facility, a reception unit 41 that receives information from the power storage device 3a, and a storage unit 42 that records recommended charging time zone information. And a calculation unit 9 that performs optimization calculation of charge control, and a command distribution unit 10 that distributes the optimized result to each power storage device 3a.

  The receiving unit 41 receives information on the power generation plan for each time zone from the power generation device 13, and receives information on the remaining charge from each power storage device 3a. In addition, power supply related information including at least one of the recommended charging time zone information, the permissible power information per time zone, and the power unit price information per time zone is received from the power supply facility control unit 7. The receiving unit 41 passes the received information to the calculation unit 9. Note that the power supply related information may include information on the fuel unit price for power generation and the scheduled maintenance time of the equipment as necessary.

  The demand prediction unit 8 receives information on a desired operation schedule from the power load 12 as necessary. In addition, weather forecast information such as temperature and humidity is received from the outside via a signal line. The weather forecast information may be from an information distribution service via the Internet, etc., may be from a specialist who handles weather information, or may be input directly by an administrator. Good. Hereinafter, the information on the desired operation schedule of the power load 12 and the weather prediction information are referred to as power demand external factor information. The reason why the weather forecast information becomes an external factor for power demand is that the demand for power varies depending on weather conditions. For example, if it becomes a tropical night in midsummer, the number of households that use air conditioners will increase even at midnight, and the demand for power will increase.

  The demand prediction unit 8 predicts the future power demand from the power demand external factor information, and stores the obtained demand prediction result in the storage unit 42. In addition, you may make it the demand prediction part 8 receive the information of a desired driving | running schedule via the receiving part 41. FIG.

  Based on the power generation plan according to time zone, the power feeding related information and the remaining charge information of each power storage device 3a received from the reception unit 41, and the demand prediction result stored in the storage unit 42, the calculation unit 9 The charging control information of each power storage device 3a is obtained using the set predetermined condition as an objective function. In addition, the demand allowable power for each time zone is calculated for the power load 12, and the power generation output for each time zone is calculated for the power generation device 13. The predetermined conditions are, for example, conditions for minimizing operation costs and conditions for minimizing carbon dioxide emission. Below, charging control information, information on demand allowable power by time zone, information on power generation output by time zone, and the like are referred to as command information.

  The command distribution unit 10 functions as a transmission unit that distributes information to each power storage device 3a. Upon receiving charge control information for each power storage device 3a, the command distribution unit 10 transmits charge control information corresponding to each power storage device 3a.

  The configuration including the demand prediction unit 8 and the calculation unit 9 includes a CPU (not shown) that executes predetermined processing according to a program and a memory (not shown) for storing the program. By executing the program, each of the demand prediction unit 8 and the calculation unit 9 performs the above-described operation.

  Next, operation | movement of the charge control system of this embodiment is demonstrated.

  FIG. 7 is a flowchart showing the operation procedure of the charge control system of this embodiment. The control device 11 receives in advance power demand external factor information including information on a desired operation schedule or weather prediction information, receives in advance information on power generation plans by time period from the power generation device 13, and stores these information in a storage unit 42.

  The power storage device 3a monitors the remaining charge of the storage battery 1 (step 201), and transmits information on the remaining charge to the control device 11 via the transmitter 52 (step 202).

When the control device 11 receives the remaining charge information from the power storage device 3a, the demand prediction unit 8 reads the power demand external factor information stored in the storage unit 42, and predicts the future power demand from the power demand external factor information. Then, the obtained demand prediction result is temporarily stored in the storage unit 42 (step 203).
Subsequently, the calculation unit 9 performs optimization using a predetermined condition as an objective function based on the demand prediction result, the power supply related information, the power generation plan according to time zone, and the information on the remaining charge amount, and supplies each power storage device 3a. Charge control information is obtained (step 204). Specifically, charging control information including information on at least a charging time zone or a charging amount by time zone is obtained for each power storage device 3a. In addition, the demand allowable power for each time zone is calculated for the power load 12, and the power generation output for each time zone is calculated for the power generator 13. Thereafter, when receiving the result of the optimization calculation, the command distribution unit 10 transmits command information corresponding to the device for each device (step 205).

  A neural network method or a multiple regression method may be used as the above-described power demand prediction method. In the present embodiment, weather prediction information such as temperature and humidity is cited as an explanatory variable for prediction. However, the present invention is not limited to this, and past demand results, day of the week, presence / absence of events, etc. May be predicted in addition to the explanatory variable.

  The charge control system of the present embodiment uses the remaining capacity information based on demand prediction results and measurements of other power loads, or information from the outside in calculating the allowable power for each recommended charging time zone or hour, thereby storing the storage battery. Can be optimized with higher accuracy.

  In addition, in the charge control system of this embodiment, although the information of the power generation plan classified by time zone is received from the electric power generating apparatus 13, this information is not essential. Moreover, although it is an example which acquires the permissible electric power information according to time from the electric power system or the electric power feeding equipment control part 7, it is not limited to this. You may calculate in the control apparatus 11 from the power supply equipment capability or contract electric power set beforehand, and the demand value obtained by measurement, or the demand value obtained by prediction.

  Moreover, although the information of the desired driving schedule is obtained from the power load 12 other than the power storage device, the present invention is not limited to this case. For example, in the case of a heat storage type electric heat source device, it may be estimated or calculated in the control device 11 based on information such as the current heat storage amount, the necessary heat storage amount, and the output of the heat source unit.

  Moreover, the control apparatus 11 may be installed in a consumer like this embodiment, may be installed in a remote place and may manage a some consumer via communication.

  The charge control system of the present embodiment can be applied for the purpose of mitigating the influence of fluctuations in power generation output such as wind power generation on the power system. For example, when it is desired to change the demand in a direction that absorbs fluctuations in the power generation output, it is provided as desired power information for each time zone to a consumer having this system. As a result, the present system executes optimization calculation using this information as a limiting condition, and as a result, it is possible to realize a desired power demand for each time zone.

  Further, the power storage device 3a may transmit battery type information indicating the type of the storage battery 1 of the own device to the control device 11 in addition to the remaining charge information. In this case, when the calculation unit 9 of the control device 11 obtains the charging control information, it is programmed in advance so as to perform the optimization considering the battery type. Thereby, it becomes possible to perform more optimal charge control corresponding to the type of the storage battery 1. The conditions for optimal charging for each battery type will be described below.

  An appropriate charging method differs depending on the type of secondary battery constituting the power storage device. For example, when the battery constituting the power storage device is a nickel metal hydride battery, the amount of self-discharge is larger than that of other batteries, and the self-discharge loss is further increased when the battery is fully charged although there is no plan to use it recently. Further, in the case of a lithium ion battery, there is a problem that battery deterioration proceeds when discharged in a fully charged state, and it is desirable to charge any battery as soon as possible. On the other hand, in the case of a lead battery, in order to prevent deterioration due to sulfation, it is necessary to charge to a predetermined level as soon as possible after use depending on the amount of discharge. As described above, since the property differs for each battery type, it is desirable to control charging in consideration of the property of the battery. In this case, it is possible to perform control in consideration of both the situation on the power feeding side and the nature of the battery.

  Further, as shown in FIG. 8, the recommended charging time zone information may be distributed from the control device 11c to the plurality of power storage devices 3f shown in FIG. The control device 11c includes a storage unit 61 in which recommended charging time zone information is recorded, and a transmission unit 62 that distributes the recommended charging time zone information to the plurality of power storage devices 3f. Each power storage device 3f obtains its own device charge control information based on the recommended charging time zone information received from the control device 11c in the same manner as described in the first embodiment, and charges the storage battery 1 according to the information. To do. In this case, it is possible to collectively manage the recommended charging time zone information by the control device 11c and distribute the same information to the plurality of power storage devices 3f.

Further, the demand prediction unit 8 of this embodiment may be provided in the power storage device 3f shown in FIG. 4 or the power storage device 3g shown in FIG.
(Third embodiment)
A configuration of the charge control system of the present embodiment will be described.

  FIG. 9 is a block diagram showing a configuration example of the charge control system of the present embodiment. In addition, the same code | symbol is attached | subjected to the structure similar to 2nd Embodiment, and the detailed description is abbreviate | omitted.

  A difference from the charge control system described in FIG. 6 is that a database 21 serving as a storage unit in which past discharge results are stored is provided in the power storage device 3b, and a discharge amount prediction unit 22 for predicting a discharge amount is provided. This is provided in the battery management unit 2a.

  The CPU provided in the charge control unit 4a may operate the discharge amount predicting unit 22 by executing a program, and the battery management unit 2a is provided with a CPU for operating the discharge amount predicting unit 22. May be.

  The database 21 stores past daily discharge amounts. Then, the discharge amount prediction unit 22 classifies the use results for each day of the week based on these data, and predicts the discharge amount for the day of the week corresponding to the next day, for example. Then, the obtained predicted discharge amount is transmitted to the control device 11 via the transmission unit 52.

  The calculation unit 9 of the control device 11 obtains charge request information including the required charge amount or the required charge time of each power storage device 3b from the predicted discharge amount received via the reception unit 41. Then, in the optimization calculation described in the second embodiment, the optimization calculation including the charge request information is performed to obtain the charge control information of each power storage device 3b.

  In the prediction of the discharge amount, the use record for each day of the week is used as an explanatory variable to predict by the neural network method or the multiple regression method. The reason why the past discharge amount is classified for each day of the week is that the behavior pattern of the power storage device user is strongly dependent on the day of the week. If necessary, weather forecast values such as temperature, humidity, weather conditions, and sudden event information may be added to explanatory variables to improve prediction accuracy.

  Note that the discharge amount prediction unit 22 may calculate the required charge amount or the required charge time, and transmit charge request information including at least one of these pieces of information to the control device 11.

  Regarding the operation procedure of the charge control system according to the present embodiment, the power storage device 3a transmits the predicted discharge amount to the control device 11 in step 202 described with reference to FIG. Since this process is the same as that described with reference to FIG. 7, detailed description thereof is omitted here.

  In the charge control system of the present embodiment, by calculating the required charge amount from the estimated remaining discharge amount of the power storage device in addition to the remaining amount of storage battery, unnecessary charging can be avoided, battery loss can be reduced, and battery life can be extended. Advanced battery management, such as for example, is facilitated. In addition, since the charging time and the amount of power required for charging are reduced, the degree of freedom in setting the charging time zone and the setting of charging power per time zone is increased, and charging control of a larger number of power storage devices is facilitated.

  Further, by calculating the predicted discharge amount of the power storage device using the past discharge results for each day of the week, the user can set an appropriate charge amount without inputting special information.

  FIG. 10 is a block diagram showing another configuration example of the charge control system of the present embodiment. In the configuration example illustrated in FIG. 9, the database 21 and the discharge amount prediction unit 22 are provided in the power storage device 3 b. However, in the present embodiment, the discharge amount prediction unit 22 a is provided in the control device 11 a and Information is recorded in the storage unit 42a. In this case, for example, when the power storage device 3c is charged, the power storage device 3c transmits information on the amount of discharge of the day to the control device 11a via the transmission unit 52. Conversely, the predicted result of the discharge amount for the next day is returned from the operation management unit 14 to the battery management unit 2c by the same communication means.

  As in the configuration illustrated in FIG. 10, a part for managing the predicted discharge amount is provided outside the power storage device, and a plurality of power storage devices are managed, so that it is easy to hold a large amount of actual data. As a result, in addition to improving the prediction accuracy, the operation between the power storage devices can be made uniform and the maintenance cycle can be easily set. Further, when the power storage device is leased, it can also be used for the purpose of managing the usage record of the lease target.

Furthermore, the power storage device 3f shown in FIG. 4 or the power storage device 3g shown in FIG. 5 may be provided with the discharge amount prediction unit 22 and the database 21 of the present embodiment.
(Fourth embodiment)
This embodiment is an embodiment in the case where the power storage device is a drive power source of a vehicle such as an electric vehicle or a plug-in hybrid vehicle.

  A configuration of the charge control system of the present embodiment will be described. FIG. 11 is a block diagram showing a configuration example of the charge control system of the present embodiment. In addition, about the structure similar to the charge control system demonstrated in FIG. 9, the same code | symbol is attached | subjected and the detailed description is abbreviate | omitted.

  The discharge amount for each past destination is stored in the database 21b provided in the power storage device 3e. Hereinafter, information on the discharge amount for each destination is referred to as a discharge amount by destination. In addition, when the discharge amount prediction unit 22b receives the future destination information to be predicted in the prediction of the discharge amount, the discharge amount prediction unit 22b reads the information on the past discharge amount by destination from the database 21b with respect to the corresponding destination information, and the information Based on the above, the predicted discharge amount is calculated. Then, information on the predicted discharge amount is transmitted to the control device 11 via the transmission unit 52.

  The calculation unit 9 of the control device 11 obtains charge request information including the required charge amount or the required charge time of each power storage device 3e from the predicted discharge amount received via the reception unit 41. Then, in the optimization calculation described in the second embodiment, the optimization calculation including the charge request information is performed to obtain the charge control information of each power storage device 3e.

  The input of the future destination information described above may be, for example, a method of inputting a destination to the car navigation system, or may be a route designation when there is a predetermined delivery route.

  In addition, as shown in FIG. 10 shown in another configuration example of the third embodiment, when the discharge amount is managed by the control device 11, the destination and delivery route information are managed by the control device 11, and the discharge amount is To predict. Further, traffic jam information and weather information may be recorded in the database 21b. In this case, the control device 11 can collectively manage traffic jam information and weather information.

  The reason for managing the traffic information is that the more the traffic is, the greater the amount of discharge. The purpose of capturing weather information is to predict changes in the amount of discharge due to changes in the operating rate and battery efficiency of on-vehicle air conditioners and running resistance due to the weather. In addition, since the number of vehicles going on vacation changes depending on the weather, the number of traveling vehicles can be read to some extent from the weather information. If the weather is fine, the probability that the road will be congested increases and the amount of discharge can be predicted to increase.

  In addition, when a plurality of vehicles and a vehicle allocation management system for managing the route or destination of each vehicle, the operation schedule, and the like are provided separately, information on the destination or route is transmitted from the vehicle allocation management system to the control device 11. What is necessary is just to set beforehand so that it may notify.

  Further, when storing the discharge amount according to the destination in the database 21b, if the information on the outside air temperature and the date / time is also stored, when the discharge amount is predicted, the fluctuation of the system efficiency due to the outside air temperature or the season or the air conditioning The fluctuation of the discharge amount due to the presence or absence of the operation of the equipment can be reflected in the prediction, and the prediction accuracy can be improved.

  The charge control system of the present embodiment sets the destination or travel route and the past for the destination or travel route, in addition to the results in the database 21 described in the third embodiment, regarding the predicted discharge amount of the vehicle power storage device. It is also calculated from the actual discharge results. Therefore, by using this prediction means, it is possible to predict the discharge amount with higher accuracy even for sudden behavior or, on the contrary, for regular behavior with a fixed driving route, such as when regular delivery is made in a certain area. Is possible.

  The charging control system according to the present invention described by taking the first to fourth embodiments as an example is a power system such as wind power generation or solar power generation in which power generation facilities that cannot control power generation output are impossible or difficult. It can also be used as a means to mitigate the effects on

  For example, in the middle of the night when the number of operating power plants for adjustment is small, there is insufficient adjustment capacity to offset output fluctuations due to wind power generation. For this reason, there is a problem that it is becoming difficult for the wind power plant to be disconnected from the power system, or to newly install a wind power generator whose output fluctuates. In response to this problem, by utilizing the system of the present invention as a power system adjustment means, an alternative function of the power plant for adjustment can be exhibited.

  Specifically, with respect to the output fluctuation of wind power generation by time zone obtained by actual measurement or prediction, a desired demand fluctuation in a direction to cancel the fluctuation, that is, information corresponding to a desired operation schedule is notified to the system of the present invention. The system of the present invention sets the charging current of the power storage device for each time zone so as to meet the wishes within a range allowed based on the notification. By integrating a large number of such power storage systems through a network or the like, it is possible to mitigate the influence on the power system due to output fluctuations such as wind power generation.

  Further, as the ratio of nuclear power generation to the total power increases in the future, the composition ratio of power generation for adjustment is relatively lowered. For this reason, when power demand decreases at midnight or during consecutive holidays, it is expected that power adjustment operation will be forced even in nuclear power generation that has been based on operation at a constant output from the viewpoint of safety and efficiency. Even in such a situation, the system can be used in the same way as in the wind power generation example above, and integrated with the network, so that the alternative function of the power plant for adjustment can be demonstrated, and the output adjustment of nuclear power is avoided. Can be minimized.

It is a block diagram which shows the example of 1 structure of the charge control system of 1st Embodiment. It is explanatory drawing regarding the priority coefficient in control of the charge control system of 1st Embodiment. It is a flowchart which shows the operation | movement procedure of the charge control system of 1st Embodiment. It is a block diagram which shows another structural example of the charging device in 1st Embodiment. It is a block diagram which shows another structural example of the charging device in 1st Embodiment. It is a block diagram which shows the example of 1 structure of the charge control system of 2nd Embodiment. It is a flowchart which shows the operation | movement procedure of the charge control system of 2nd Embodiment. It is a block diagram which shows another structural example of the charge control system of 2nd Embodiment. It is a block diagram which shows the example of 1 structure of the charge control system of 3rd Embodiment. It is a block diagram which shows another structural example of the charge control system of 3rd Embodiment. It is a block diagram which shows the example of 1 structure of the charge control system of 4th Embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Storage battery 2, 2a, 2b Battery management part 3, 3a, 3b, 3c, 3e, 3f, 3g Power storage device 4, 4a Charge control part 5, 5a Charge power conversion part 6 Charging apparatus 7 Electric power system or electric power supply equipment control part 8 Demand prediction unit 9 arithmetic unit 10 command distribution unit 11, 11a, 11c control device 12 power load 13 power generation device 21, 21a, 21b database 22, 22a, 22b discharge amount prediction unit

Claims (10)

A charge control method for a power storage device, comprising:
Monitor the remaining charge of the storage battery,
Determining charging control information including information on a time zone for charging the storage battery from control factor information including the recommended charging time zone information on the power supply side and the remaining charge amount;
A charge control method for charging the storage battery based on the charge control information. Calculate the predicted discharge amount predicting the discharge amount of the storage battery,
The charge control method according to claim 1, wherein the charge control information is determined from the control factor information including the predicted discharge amount. Obtain power demand information that forecasts power demand based on external power demand information received from outside,
The charge control method according to claim 1 or 2, wherein the charge control information is determined from the control factor information including the power demand information. A storage battery,
A battery management unit for monitoring the remaining charge of the storage battery;
A storage unit in which recommended charging time zone information on the power supply side is recorded, or a receiving unit that receives the recommended charging time zone information from the outside;
A calculation unit for determining charging control information including information on a time zone for charging the storage battery from control factor information including the remaining charge amount and the recommended charging time zone information;
A charge control unit for charging the storage battery based on the charge control information;
A power storage device. A discharge amount prediction unit that calculates a predicted discharge amount that predicts the discharge amount of the storage battery;
The power storage device according to claim 4, wherein the calculation unit determines the charge control information from the control factor information including the predicted discharge amount. Further comprising a demand forecasting unit for obtaining power demand information obtained by predicting power demand based on external demand information of power demand received from outside;
The power storage device according to claim 4 or 5, wherein the calculation unit determines the charge control information from the control factor information including the power demand information. A storage battery; a battery management unit that monitors the remaining charge of the storage battery; a receiving unit that receives recommended charging time zone information on the power supply side; and a control factor including the remaining charging amount and the recommended charging time zone information A power storage device including: a calculation unit that determines charge control information including information on a time zone for charging the storage battery from information; and a charge control unit that charges the storage battery based on the charge control information;
A control device including a storage unit in which the recommended charging time zone information is recorded and a transmission unit that transmits the recommended charging time zone information to the power storage device;
Having a charge control system. A storage battery, a battery management unit that monitors the remaining charge of the storage battery, a transmission unit that transmits information on the remaining charge to the outside, and charging control information that includes information on a time zone for charging the storage battery is received from the outside A power storage device including a receiving unit that performs charging, and a control unit that charges the storage battery according to the charging control information;
Control factor information including a receiving unit that receives information on the remaining charge amount from the power storage device, a recording unit that records recommended charging time zone information on the power supply side, and the remaining charging amount and recommended charging time zone information A control unit including a calculation unit that determines the charge control information from, and a command distribution unit that transmits the charge control information to the power storage device,
Having a charge control system. The power storage device or the control device further includes a discharge amount prediction unit that calculates a predicted discharge amount that predicts a discharge amount of the storage battery,
When the discharge amount prediction unit is provided in the power storage device, the transmission unit transmits information on the predicted discharge amount to the reception unit of the control device, and the calculation unit includes information on the predicted discharge amount. Determining the charge control information from the control factor information;
The charge control system according to claim 8, wherein, when the discharge amount prediction unit is provided in the control device, the calculation unit determines the charge control information from the control factor information including information on the predicted discharge amount. The control device further includes a demand prediction unit for obtaining power demand information obtained by predicting power demand based on externally received power demand external factor information,
The charge control system according to claim 8 or 9, wherein the calculation unit determines the charge control information from the control factor information including the power demand information.

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