JP2013158100A - Charging guide apparatus, user terminal, charging guide system, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a charging guide apparatus, a user terminal, a charging guide system, and a program which improve users' conveniences and the utilization efficiency of a power supply facility.SOLUTION: A charging guide apparatus 1 includes: a surplus estimated value obtaining part 15 obtaining a surplus estimated value of power that is supplied from a private power generation facility 4 utilizing renewable energy and may be used for charging; a charging time adjustment part 18 adjusting charging time for multiple electric vehicles 2 on the basis of the surplus estimated value; and a charging time guide part 19 guiding users U of the multiple electric vehicles 2 on charging conducted at the charging time. This structure allows the users U of the multiple electric vehicles 2 to conduct the charging at the charging time thereby making power shortage resulting from concentration of charging demands less likely to occur.

Description

  The present invention relates to a charging guidance device, a user terminal, a charging guidance system, and a program.

  In recent years, electric vehicles and power supply facilities for electric vehicles are becoming widespread. For example, Japanese Patent Application Laid-Open No. 2011-197932 discloses an apparatus that guides an optimal power supply facility based on the remaining electric power of an electric vehicle, the power efficiency, and the current position. Japanese Unexamined Patent Application Publication No. 2010-230615 discloses a method for efficiently operating a power supply facility by managing the arrival time of a vehicle.

JP 2011-197932 A JP 2010-230615 A

  By the way, when the electric power supplied from the private power generation facility with relatively poor power generation capacity is used for charging, it is assumed that there is a problem of power shortage due to the concentration of charging demand. When the demand for charging is concentrated, the user of the electric vehicle waits for charging until sufficient power necessary for charging is secured, and the convenience for the user is reduced. In particular, when using electric power generated by renewable energy, fluctuations in the supply amount become large, making it difficult to secure enough power to meet the demand peak, and the efficiency of use of power supply facilities is reduced. End up. In some cases, it is assumed that capital investment will be forced to meet important peaks.

  Therefore, the present invention intends to provide a charging guidance device, a user terminal, a charging guidance system, and a program that can improve the usage efficiency of the power supply facility as well as the convenience of the user.

  The charging guidance device according to the present invention includes a surplus predicted value acquisition unit that acquires a surplus predicted value of power that can be used for charging supplied from a private power generation facility using renewable energy, and a plurality of electric power based on the surplus predicted value. A charging time adjusting unit that adjusts the charging time of the vehicle, and a charging time guiding unit that guides a user of a plurality of electric vehicles to perform charging at the charging time.

  According to such a charging guide device, the charging times of the plurality of electric vehicles are adjusted based on the surplus predicted value of power, and the charging at the charging time is guided to the users of the plurality of electric vehicles. Thereby, the electric power shortage accompanying the concentration of the charging demand is less likely to occur when the users of the plurality of electric vehicles perform the charging at the charging time. Therefore, the utilization efficiency of the power supply facility can be improved together with the convenience for the user.

  In addition, the apparatus further includes an expected demand value estimation unit that estimates an expected demand value of electric power from the plurality of electric vehicles, and the charging time adjustment unit adjusts the charging times of the plurality of electric vehicles based on the expected demand value together with the surplus predicted value. May be. Thereby, it is possible to guide the charging time when the user of the electric vehicle is highly likely to perform charging, and to reliably promote the charging at the charging time.

  Further, the charging time adjustment unit may update the surplus predicted value based on the expected demand value of the electric vehicle that has a high probability of charging at the charging time, and readjust the charging time of another electric vehicle. As a result, the charging times of the plurality of electric vehicles can be optimized so that the surplus predicted power value and the expected demand values of the plurality of electric vehicles are balanced.

  Here, the charging time adjustment unit may subtract the expected demand value of each electric vehicle at the arbitrary time from the surplus predicted value at the arbitrary time, and adjust the time when the subtraction value is the highest as the charging time of each electric vehicle. The charging time adjustment unit identifies the first electric vehicle having the highest probability of charging at the charging time, and subtracts the expected demand value of the first electric vehicle at the charging time from the surplus predicted value at the charging time. The predicted value may be updated, and the charging time of another electric vehicle may be readjusted based on the updated surplus predicted value.

  Further, the apparatus further includes a history information acquisition unit that acquires history information related to charging and consuming behavior of electric power from a plurality of electric vehicles, and the demand expectation value estimation unit is based on the history information of each electric vehicle, May be estimated. Thereby, the expected demand value of each electric vehicle can be estimated with high accuracy. Here, the demand expectation value estimation unit determines each electric power based on at least one attribute among the date and time at the time of charging, the day of the week at the time of charging, the charging interval, the remaining power at the time of charging, and the weather conditions at the time of charging. You may estimate the demand demand value of a motor vehicle.

  A user terminal according to the present invention is a user terminal capable of communicating with the above-described charging guide device, a guide information acquisition unit that acquires from the charging guide device guidance information that guides charging at a charging time, and a guidance A guidance information notifying unit for notifying a user of the electric vehicle of information. According to such a user terminal, it is possible to reliably prompt the user of the electric vehicle to perform charging at the charging time through the guidance information.

  The charging guidance system according to the present invention includes the above-described charging guidance device and the above-described user terminal. According to such a charging guidance system, it is possible to improve the utilization efficiency of the power supply facility as well as the convenience for the user.

  The program according to the present invention obtains a surplus predicted value of power that can be used for charging supplied from a private power generation facility using program renewable energy for causing a computer to execute a charging guidance process, and based on the surplus predicted value A program for causing a computer to execute a charging guidance process including adjusting charging times of a plurality of electric vehicles and guiding a user of the plurality of electric vehicles to perform charging at the charging times.

  According to the present invention, it is possible to provide a charging guidance device, a user terminal, a charging guidance system, and a program that can improve the usage efficiency of the power supply facility as well as the convenience of the user.

It is a figure showing the whole guidance system composition concerning an embodiment of the present invention. It is a block diagram which shows the structure of a guidance apparatus and a user terminal. It is a flowchart which shows operation | movement of the guide apparatus which concerns on embodiment of this invention. It is a figure explaining the primary adjustment method of charge time. It is a figure explaining the secondary adjustment method of charge time. It is a figure which shows the example of provision of guidance information.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description is omitted.

  First, with reference to FIG. 1 and FIG. 2, the structure of the charge guidance system which concerns on embodiment of this invention is demonstrated. The charging guidance system is a system that adjusts charging times of a plurality of electric vehicles based on a surplus predicted value of power, and guides the users of the plurality of electric vehicles to perform charging at the charging times. According to the charging guidance system, the utilization efficiency of the power supply facility can be improved together with the convenience for the user.

  FIG. 1 is a diagram showing an overall configuration of a charging guidance system according to an embodiment of the present invention. As shown in FIG. 1, the charging guidance system includes a charging guidance device 1, a plurality of user terminals 3a, 3b, 3c,... And one or more power supply facilities 4a, 4b, 4c,. The plurality of user terminals 3a, 3b, 3c,... Are used by the users Ua, Ub, Uc,.

  The charging guide device 1 is a device that guides charging to a user U of a plurality of electric vehicles 2 through a user terminal 3. The charging guide device 1 is, for example, a computer such as a server device that can communicate with the user terminal 3 and the power supply facility 4. The user terminal 3 is a device that notifies the user U of a plurality of electric vehicles 2 of charging guidance provided by the charging guide device 1. The user terminal 3 is, for example, a portable information terminal or a navigation device that can communicate with the charging guide device 1.

  The power supply facility 4 is a facility that supplies the electric vehicle 2 with the electric power generated by the private power generation facility. The power supply facility 4 includes a charging stand for charging a rechargeable battery of the electric vehicle 2, and is provided in, for example, a large-scale commercial facility. In-house power generation facilities generate electricity using renewable energy (solar, wind, wave / tidal, geothermal, biomass, etc.) with large fluctuations in supply. The private power generation facility means a power generation facility that is not connected to a commercial power supply system.

  FIG. 2 is a block diagram illustrating configurations of the charging guide device 1 and the user terminal 3. First, the charging guide device 1 will be described. As shown in FIG. 2, the charging guide device 1 includes a first communication unit 11, a second communication unit 12, a database 13, and an information processing unit 14.

  The first communication unit 11 is a wired or wireless communication device that transmits and receives various data to and from a communication device (not shown) of the power supply facility 4. The second communication unit 12 is a wireless communication device that transmits and receives various data to and from the user terminal 3. The database 13 updates and manages a surplus prediction value, a demand expectation value, a charging time, history information, and the like, which will be described later.

  The information processing unit 14 includes a surplus predicted value acquisition unit 15, a history information acquisition unit 16, an expected demand value estimation unit 17, a charging time adjustment unit 18, and a charging time guide unit 19. The information processing unit 14 includes a CPU, a ROM, a RAM, and the like, and reads a program stored in the ROM and executes it on the CPU, whereby a surplus predicted value acquisition unit 15, a history information acquisition unit 16, a demand expectation value It functions as the estimation unit 17, the charging time adjustment unit 18, and the charging time guide unit 19. The surplus predicted value acquisition unit 15, history information acquisition unit 16, expected demand value estimation unit 17, charging time adjustment unit 18, and charging time guidance unit 19 are partially or entirely configured as individual units or devices. May be.

  The surplus predicted value acquisition unit 15 acquires a surplus predicted value of power that can be used for charging supplied from the private power generation facility. The surplus predicted value is a value obtained by predicting the amount of power available for charging in the power supply facility 4. The surplus prediction value is obtained every arbitrary time such as every several tens of minutes over a predetermined period such as several days. For example, when using solar energy, the surplus predicted value is obtained based on the predicted value of the amount of sunlight in the surrounding area of the power supply facility 4, the storage capacity of the power supply facility 4, and the like. The surplus prediction value is periodically acquired from one or more power supply facilities 4 through the first communication unit 11.

  The history information acquisition unit 16 acquires history information related to power charging and consumption behavior from the plurality of electric vehicles 2. The history information is information indicating a history of charging and consumption behavior by the electric vehicle 2 or the user U, such as a charging implementation status and power consumption status. The implementation status of charging is acquired as the date and time of charging, the amount of charge, the location of implementation, and the like. The power consumption status is acquired as the remaining power of the electric vehicle 2. The history information is acquired from the plurality of user terminals 3 through the second communication unit 12 at the occurrence timing of a charging event described later or periodically. The history information is managed on the database 13 for each electric vehicle 2 associated with the user terminal 3. The electric power remaining amount of the electric vehicle 2 is obtained based on the travel distance and power efficiency data of the electric vehicle 2 after obtaining the position information (latitude, longitude) of the electric vehicle 2 from the user terminal 3. It may be calculated by.

  The expected demand value estimation unit 17 estimates the expected demand value of power from the plurality of electric vehicles 2. The expected demand value is a value obtained by probabilistically estimating the amount of power provided for charging each electric vehicle 2 at each time. The expected demand value is estimated based on the history information of each electric vehicle 2 based on the charging probability and the estimated charging amount at each time. The expected demand value is estimated based on at least one attribute among the date and time at the time of charging, the day of the week at the time of charging, the charging interval, the remaining amount of power at the time of charging, and the weather conditions at the time of charging. The method for estimating the expected demand value will be described in detail later.

  The charging time adjustment unit 18 adjusts the charging times of the plurality of electric vehicles 2 based on the surplus predicted values of the one or more power supply facilities 4 and the expected demand values of the plurality of electric vehicles 2. The charging time may be adjusted based only on the surplus predicted value of one or more power supply facilities 4. The charging time is information for adjusting the execution of charging by the plurality of electric vehicles 2 so as to maximize the utilization efficiency of the one or more power supply facilities 4 based on the surplus predicted value (and the expected demand value). is there. Furthermore, the charging time is readjusted by updating the surplus predicted value based on the expected demand value of the electric vehicle 2 having a high probability of charging at the charging time. The adjustment of the charging time will be described in detail later.

  The charging time guide unit 19 guides the user U of the electric vehicle 2 to perform charging at the charging time. Charging is performed using, for example, guidance information. The guidance information is information for guiding or recommending the user U of the electric vehicle 2 to perform the charging at the charging time to prompt the user to perform the charging. The guidance information may be provided to the user terminal 3 of each electric vehicle 2 as information for a specific user through the second communication unit 12, and information such as a bulletin board on an external network as information for an unspecified user. It may be provided to the portal.

  Next, the user terminal 3 will be described. As shown in FIG. 2, the user terminal 3 includes a communication unit 31, a user interface 32, and an information processing unit 33.

  The communication unit 31 is a wireless communication device that transmits / receives data to / from the charging guide device 1 or an external information portal. The user interface 32 is a touch panel, a keyboard, a monitor, a speaker, or the like that enables interactive information input / output with the user U of the electric vehicle 2.

  The information processing unit 33 includes a history information providing unit 34, a guidance information acquiring unit 35, and a guidance information notifying unit 36. The information processing unit 33 includes a CPU, a ROM, a RAM, and the like, and reads a program stored in the ROM and executes the program on the CPU, whereby a history information providing unit 34, a guide information acquiring unit 35, and a guide information notifying unit. It functions as 36. The history information providing unit 34, the guide information acquiring unit 35, and the guide information notifying unit 36 may be partly or entirely configured as individual units or devices.

  The history information providing unit 34 provides the above-described history information to the charging guide device 1. Of the history information, the charging implementation status may be automatically provided based on the change in the remaining amount of electric power of the electric vehicle 2 at the timing of occurrence of the charging event, and according to the operation of the user U through the user interface 32. May be provided. The power consumption state may be provided as the remaining amount of power, or may be provided as position information of the electric vehicle 2 used for calculating the remaining amount of power. The remaining electric power is acquired through a remaining battery sensor of the rechargeable battery of the electric vehicle 2, and the position information is acquired through the GPS sensor of the electric vehicle 2 or the user terminal 3.

  The guide information acquisition unit 35 acquires the above-described guide information from the charging guide device 1. The guidance information may be acquired as information for a specific user or may be acquired as information for an unspecified user. Information for a specific user is acquired at the timing of receiving the guide information transmitted from the charging guide device 1. Information for unspecified users is acquired at the timing of accessing an information portal that provides guidance information.

  The guide information notification unit 36 notifies the user U of the electric vehicle 2 of the guide information. The guidance information is notified as visual / auditory information through the user interface 32, for example.

  Next, with reference to FIGS. 3 to 6, the operation of the charging guidance system, particularly the charging guidance process performed by the charging guidance device 1 will be described.

  FIG. 3 is a flowchart showing the operation of the charging guide device 1 according to the embodiment of the present invention. The information processing unit 14 of the charging guidance system repeatedly executes the process shown in FIG. 3 at a predetermined processing cycle using a program for performing the charging guidance process.

  As illustrated in FIG. 3, the surplus predicted value acquisition unit 15 acquires a surplus predicted value of power that can be used for charging from one or more power supply facilities 4 (step S <b> 11). The surplus predicted value is acquired at a timing provided from the power facility.

  The history information acquisition unit 16 acquires history information related to power charging and consumption behavior from the user terminals 3 of the plurality of electric vehicles 2 (step S12). The history information is acquired at a timing provided from the user terminal 3.

  The expected demand value estimation unit 17 estimates the expected demand value of each electric vehicle 2 based on the history information (step S13). The expected demand value may be estimated every time the charging implementation status is updated in the history information, that is, every time a charging event described later occurs, or may be estimated periodically. Below, the estimation method of a demand expected value is demonstrated.

  The information processing unit 14 acquires history information from the user terminal 3. This history information includes various attributes of the charging event (date and time of charging, day of the week, etc.). The charging behavior of the user U is expressed using a probability model related to the charging time by generating a probability distribution based on the attribute and frequency of the charging event.

  For example, when “the probability of charging in the afternoon on Sunday is high”, the probability distribution of the attribute “day of the week” of the charging event is expressed as a probability distribution. The attributes of the charging event can be variously extended, for example, charging intervals, remaining power at the time of charging, weather conditions, business information (such as the implementation status of the customer acquisition event), and the like. The prediction accuracy of the probability model is considered to improve as the number of probability distributions representing the probability model increases.

  The probabilistic model is updated based on Bayes' theorem every time a new charging event occurs. That is, the previous probability distribution is set as the prior distribution, the likelihood is generated using the likelihood function based on the new charging event, and is multiplied by the prior distribution to obtain the posterior distribution. The posterior distribution is used as a prior distribution when the next charging event occurs.

  Here, the likelihood is generally defined as a Gaussian distribution having a peak in charging event data. For example, in the case of the probability distribution of “charge execution interval”, when the next charge is executed 58 hours after the previous charge, a Gaussian distribution having a peak of “58 hours” is used as a likelihood, and “57 hours ”And“ 59 hours ”are also set to a certain degree of“ likelihood ”.

  The initial prior distribution of each user U is generally a uniform distribution, but some typical probability models may be defined in advance. As a typical probabilistic model, for example, a “housewife type model” that is charged mainly in the daytime, a “office worker type model” that is charged mainly on the way home from the company, and the like can be considered.

  The expected demand value of the electric vehicle 2 is estimated by multiplying the probability of charging at an arbitrary time and the predicted amount of charging. The probability of charging is obtained using the above-described probability model regarding the charging time. The predicted amount of charging is obtained by subtracting the current power remaining amount from the power consumption state included in the action history information, that is, the rechargeable battery capacity of the electric vehicle 2. The predicted amount of charging may be obtained by further estimating the predicted consumption amount from the present time to an arbitrary time and further subtracting this predicted consumption amount from the rechargeable battery capacity. The predicted consumption amount may be estimated using the power consumption status in the history information.

  Returning to the description of FIG. 3, when the expected demand value of the electric vehicle 2 is estimated, the charging time adjustment unit 18 is based on the surplus predicted value of one or more power supply facilities 4 and the expected demand value of the plurality of electric vehicles 2. The charging times of the plurality of electric vehicles 2 are adjusted (step S14). The charging time may be adjusted every time the surplus prediction value or the demand expectation value is updated, or may be adjusted periodically. Below, with reference to FIG. 4 and FIG. 5, the adjustment method of charging time is demonstrated. FIG. 4 is a diagram for explaining a primary adjustment method for the charging time, and FIG. 5 is a diagram for explaining a secondary adjustment method for the charging time.

  First, the charging time of each electric vehicle 2 is primarily adjusted based on the surplus predicted value of one or more power supply facilities 4 and the expected demand value of each electric vehicle 2. Specifically, for a certain power supply facility 4, over a predetermined period such as several days, an expected demand value of the electric vehicle 2 at the same time from a surplus predicted value at an arbitrary time (see FIG. 4A) ( A value obtained by subtracting (see FIG. 4B) is obtained as a score at any time (see FIG. 4C). This is repeated for one or more power supply facilities 4, and the facility (charging facility) and time (charging time) with the highest score are specified.

  In the example shown in FIG. 4, for electric vehicle A, the score at time tn at facility B is the highest, and facility B and time tn are specified as the charging facility and the charging time. In addition, the higher the score, the greater the surplus power at the time specified as the charging time in the power supply facility 4 specified as the charging facility.

  Next, the charging times of the plurality of electric vehicles 2 are secondarily adjusted based on the surplus predicted values of the one or more power supply facilities 4 and the expected demand values of the plurality of electric vehicles 2. This is because the primary adjustment only adjusts the charging facility and the charging time based on the expected demand value of each electric vehicle 2 and does not consider that the charging events of a plurality of electric vehicles 2 occur simultaneously. is there. Therefore, first, the first electric vehicle 2 having the highest probability of charging at the charging facility at the charging time (the probability of charging estimated from the history information) is specified, and the charging facility and the charging time of the first electric vehicle 2 are identified. Confirm. Next, the surplus predicted value of the charging facility is updated by subtracting the expected demand value at the charging time of the first electric vehicle 2 from the surplus predicted value at the same time of the charging facility (see FIG. 5).

  The example shown in FIG. 5 shows a case where the electric vehicle A is specified as the first electric vehicle 2. In this case, for the electric vehicle A, the facility B and the time tn are determined as the charging facility and the charging time, respectively. Then, the surplus expected value of the facility B is updated by subtracting the demand expectation of the electric vehicle A at the time tn from the surplus predicted value of the facility B at the time tn.

  And about the some electric vehicle 2 except the 1st electric vehicle 2, based on the surplus estimated value after an update, a primary adjustment is performed again, a charging facility and charging time are updated, and the 2nd electric vehicle 2 is specified. Then, the charging facility and the charging time of the second electric vehicle 2 are determined, and the surplus predicted value of the charging facility is updated. In this way, the charging time is readjusted by determining the charging facility and the charging time while updating the surplus predicted value for all of the plurality of electric vehicles 2. Thereby, the charging time of the plurality of electric vehicles 2 can be optimized so that the surplus predicted power value and the demand expected value of the plurality of electric vehicles 2 are balanced.

  Returning to the description of FIG. 3, when the charging time is adjusted, the charging time guide unit 19 guides the user U of the plurality of electric vehicles 2 to perform charging at the charging time (step S <b> 15). The charging time is provided to the user U of the electric vehicle 2 as charging guide information. The charging time is guided every time the charging time is adjusted in step S14.

  FIG. 6 is a diagram illustrating an example of providing guidance information. FIG. 6A shows a case where guidance information for a specific user is provided to the user terminal 3 of each electric vehicle 2. In this case, the guidance information is information for identifying the charging facility and the charging time and guiding the execution of charging based on the surplus predicted amount of one or more power supply facilities 4 and the expected demand value of the plurality of electric vehicles 2. . The user terminal 3 receives the guidance information from the charging guidance device 1 and, for example, “I recommend that Mr. A charge at the D facility around C on the B day.” The user U is notified of guidance information specifying the charging facility.

  FIG. 6B shows a case where guidance information for unspecified users is provided to an external information portal. In this case, the guidance information is information for guiding the implementation of charging by specifying the charging facility and the charging time based on the surplus predicted amount of one or more power supply facilities 4. The user terminal 3 accesses the information portal and specifies the power supply facility 4 and the time when the surplus prediction amount is large, for example, “It is recommended to charge the facility E around G time on the F day”. The user U is notified of the guidance information.

  As described above, according to the charging guide device 1 according to the embodiment of the present invention, the charging times of the plurality of electric vehicles 2 are adjusted based on the surplus predicted value of power, and charging at the charging time is performed in a plurality of ways. The user U of the electric vehicle 2 is guided. Thereby, when the users U of the plurality of electric vehicles 2 perform charging at the charging time, it becomes difficult for power shortages due to concentration of charging demand to occur. Therefore, the utilization efficiency of the power supply facility 4 can be improved together with the convenience of the user U.

  Further, the charging times of the plurality of electric vehicles 2 may be adjusted based on the expected power demand values of the plurality of electric vehicles 2 together with the surplus predicted value of the power. Thereby, it is possible to guide the charging time when the user U of the electric vehicle 2 is likely to perform charging, and it is possible to reliably urge the charging at the charging time.

  Further, the expected demand value of each electric vehicle 2 is estimated based on the charging probability and the predicted amount at an arbitrary time, and the surplus predicted value is updated based on the expected demand value of the electric vehicle 2 having a high probability of charging at the charging time. The charging time of the other electric vehicle 2 may be readjusted. Thereby, the charging time of the plurality of electric vehicles 2 can be optimized so that the surplus predicted power value and the demand expected value of the plurality of electric vehicles 2 are balanced.

  Moreover, the historical information regarding the charging and consuming behavior of power from a plurality of electric vehicles 2 may be received, and the expected demand value of each electric vehicle 2 may be estimated based on the history information of each electric vehicle 2. Thereby, the expected demand value of each electric vehicle 2 can be estimated with high accuracy.

  According to the user terminal 3 according to the embodiment of the present invention, it is possible to reliably prompt the user U of the electric vehicle 2 to perform charging at the charging time through the guidance information.

  According to the charging guidance system according to the embodiment of the present invention, the utilization efficiency of the power supply facility 4 can be improved together with the convenience for the user.

  The above-described embodiment describes the best embodiment of the charging guidance system, the charging guidance device, the user terminal, and the program according to the present invention, and the charging guidance system, the charging guidance device, and the utilization according to the present invention. The person terminal and the program are not limited to those described in the present embodiment. A charging guidance system, a charging guidance device, a user terminal, and a program according to the present invention are provided within the scope of the invention described in each claim. The program may be modified or applied to other things.

DESCRIPTION OF SYMBOLS 1 ... Charge guidance apparatus, 2 ... Electric vehicle, 3 ... User terminal, 4 ... Electric power supply facility, U ... User, 11 ... 1st communication unit, 12 ... 2nd communication unit, 13 ... Database, 14 ... Controller 15 Surplus prediction value acquisition unit 16 History information acquisition unit 17 Expected demand value estimation unit 18 Charge time adjustment unit 19 Charge time guide unit 31 Communication unit 32 User interface 33 ... Controller, 34 ... History information providing unit, 35 ... Guidance information acquiring unit, 36 ... Guidance information notifying unit.

Claims (10)

A surplus predicted value acquisition unit that acquires a surplus predicted value of power that can be used for charging supplied from a private power generation facility using renewable energy;
A charging time adjusting unit that adjusts charging times of the plurality of electric vehicles based on the surplus predicted value;
A charging time guide unit for guiding the user of the plurality of electric vehicles to perform charging at the charging time;
A charging guide device comprising: A demand expectation value estimation unit for estimating a demand expectation value of power from the plurality of electric vehicles;
The charging guide device according to claim 1, wherein the charging time adjustment unit adjusts the charging times of the plurality of electric vehicles based on the expected demand value together with the surplus predicted value.   The charge time adjustment unit updates the surplus predicted value based on the expected demand value of an electric vehicle having a high probability of charging at the charge time, and re-adjusts the charge time of another electric vehicle. The charging guide device described.   The charging time adjusting unit subtracts the expected demand value of each electric vehicle at the arbitrary time from the surplus predicted value at the arbitrary time, and adjusts the time when the subtraction value is highest as the charging time of the electric vehicle. The charging guide device according to claim 3.   The charging time adjustment unit identifies a first electric vehicle that has the highest probability of charging at the charging time, and calculates the expected demand value of the first electric vehicle at the charging time as the surplus prediction at the charging time. The charging guide device according to claim 4, wherein the surplus prediction value is updated by subtracting from a value, and the charging time of another electric vehicle is readjusted based on the surplus prediction value after the update. A history information acquisition unit that acquires history information on charging and consumption behavior of power from the plurality of electric vehicles,
6. The charging guidance apparatus according to claim 1, wherein the expected demand value estimation unit estimates the expected demand value of each electric vehicle based on the history information of each electric vehicle.   The expected demand value estimation unit is configured to provide each electric vehicle based on at least one attribute among a date and time at the time of charging, a day of the week at the time of charging, a charge execution interval, a remaining amount of power at the time of charging, and a weather condition at the time of charging. The charging guidance device according to claim 6, wherein the demand expected value is estimated. A user terminal capable of communicating with the charging guide device according to any one of claims 1 to 7,
A guidance information acquisition unit that acquires from the charging guidance device guidance information for guiding the implementation of charging at a charging time;
A guidance information notifying unit for notifying a user of the electric vehicle of the guidance information;
A user terminal comprising: The charging guide device according to any one of claims 1 to 7,
A user terminal according to claim 8;
A charging guidance system comprising: Obtain surplus predicted value of electric power that can be used for charging supplied from private power generation facilities using renewable energy,
Adjusting the charging time of the plurality of electric vehicles based on the surplus predicted value;
Guiding the user of the plurality of electric vehicles to perform charging at the charging time;
A program for causing a computer to execute a charging guide process including:

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