JP6199753B2 - Operation plan creation support device - Google Patents

Description

  Embodiments described herein relate generally to an operation plan creation support apparatus.

  In recent years, an electric public transportation system using an EV (Electric Vehicle) bus has been put into practical use. In the preparation of EV bus operation plans, in addition to general railway and bus schedules and dispatch plans, including when and how to charge, and when the number of charging stations (chargers) is limited It is necessary to create an operation plan so as to assign the stations so that the charging stations are not duplicated. In addition, it is necessary to consider whether the amount of charge (charging time) is sufficient so as to prevent electric shortage (battery running out). In other words, in the creation of an EV bus operation plan, a plan for operation, dispatch, and charging is carried out so as to satisfy the specific constraints in the electric public transportation system.

JP 2011-253257 A

  However, in creating an operation plan, there are no techniques for creating and evaluating a number of plans and selecting an appropriate operation plan efficiently within a limited time, which takes a lot of time and effort.

  The problem to be solved by the present invention is to provide an operation plan creation support device that can efficiently create an operation plan related to the operation of an electric vehicle in consideration of securing an appropriate charge amount and operation of a charging station. That is.

The operation plan creation support apparatus according to the embodiment predicts the travel time of an electric vehicle based on a temporary diagram including a position on the route and a predetermined time so that the electric vehicle travels on a predetermined route. and travel time prediction value calculation unit for calculating a, based on the provisional diamonds, and the power consumption amount prediction value calculation unit for calculating a predicted value of the amount of power consumed by the running of the electric vehicle, based on the provisional diamond, charge and the charging time predicted value calculation unit for calculating a predicted value of the charging time required for charging the battery for an electric vehicle stand, a value obtained by adding the variation of the predicted value due to time of day, day of week, season and evaluation data output unit for outputting as a prediction result of each predicted value calculation unit, the predicted value of the amount of power calculated by the power consumption amount predicted value calculation unit, and calculated by the charging time predicted value calculation unit Based on the estimated value of the charging time, the result of simulation of the electric vehicle traveling according to the provisional schedule, which is a simulation result when the electric vehicle travels and the charging result, becomes a charging target for the storage battery of the electric vehicle. And a proposal unit that proposes a change in the charging policy indicating SoC .

FIG. 1 is a block diagram showing an overall configuration of an operation plan creation support system according to the first embodiment. FIG. 2A is a diagram illustrating an example of a provisional diagram. FIG. 2B is a diagram illustrating another example of the provisional diagram. FIG. 3 is a diagram illustrating specific examples of coefficients under various conditions for reflecting the actual operation in each predicted value. FIG. 4 is a diagram illustrating a traveling model for explaining the force (resistance) acting on the traveling of the vehicle. FIG. 5 is a diagram illustrating an example of characteristic data of each storage battery, which is included in the vehicle characteristic DB as a part of the vehicle characteristic. FIG. 6 is a flowchart illustrating a processing procedure and a procedure performed by the operation plan creation support system according to the first embodiment. FIG. 7A is a diagram illustrating an example of an output traveling result. FIG. 7B is a diagram illustrating an example of the output travel result (including power consumption). FIG. 7C is a diagram illustrating an example of the output charging result (vehicle). FIG. 7D is a diagram illustrating an example of the output charging result (stand). FIG. 8 is a block diagram showing an overall configuration of an operation plan creation support system according to the second embodiment. FIG. 9 is a flowchart for explaining processing procedures and procedures by the operation plan creation support system of the second embodiment. FIG. 10 is a diagram illustrating an example of the charging policy. FIG. 11 is a block diagram illustrating an overall configuration of an operation plan creation support system according to the third embodiment. FIG. 12 is a diagram illustrating an example of information presented by the charging policy change proposal unit. FIG. 13A is a diagram illustrating another example of information presented by the charging policy change proposal unit. FIG. 13B is a diagram illustrating another example of information presented by the charging policy change proposal unit. FIG. 14 is a block diagram illustrating an overall configuration of an operation plan creation support system according to the fourth embodiment. FIG. 15 is a diagram illustrating an example of information set in the charge restriction database.

(First embodiment)
First, the operation plan creation support system according to the first embodiment will be described in detail. FIG. 1 is a block diagram showing an overall configuration of an operation plan creation support system according to the first embodiment. This embodiment is intended for an EV bus as an electric vehicle.

  In the operation plan creation support system 1-1 shown in FIG. 1, a temporary diamond is set in the temporary diamond storage unit 21. The provisional schedule here is a so-called bus schedule that is provisionally given by the operation plan creator, and generally describes the arrival and departure times at each bus stop. The diagram itself can be configured, for example, by calculating the travel time between bus stops from the average speed of the bus. In this embodiment, as illustrated in FIG. 2A, the provisional diamond is composed of time and distance (position), and indicates which position is traveled at what hour and how many minutes. As such, it may be expressed as a set of arrival time and departure time at each bus stop.

  In general, a bus is operated until it returns to the store several times after leaving the store during one day. When the EV bus is used for the bus operated in this way, it becomes a problem which time and how long the charging time of the mounted storage battery is allocated. Since the charging place is generally a starting or ending place, the time is allocated to the charging time by appropriately securing the turn-back time. In the present embodiment, an operation plan creator can easily create an operation plan that also considers charging for the EV bus.

  The operation plan creation support device 10-1 determines the actual operation for the given provisional diagram, and each predicted value of the predicted travel time value, predicted power consumption value, and predicted charge time value. Predict from. Each predicted value is calculated by a travel time predicted value calculation unit 11-1, a power consumption predicted value calculation unit 12-1, and a charging time predicted value calculation unit 13-1 shown in FIG. 1 (details will be described later).

  The predicted travel time value, the predicted power consumption value, and the predicted charging time value from the first departure to the final arrival are calculated by the corresponding predicted value calculation unit. In this case, in this embodiment, the predicted value is generally used. Use the prediction method. That is, each predicted value is calculated by running simulation, from actual measurement data, or by calculating from average speed, average power consumption, and the like. These prediction methods may be selected by the operation plan creator by instructing the operation plan creation support apparatus 10-1. Then, the travel pattern obtained when calculating each predicted value is set as the standard travel, and for the standard travel, each of the travel time predicted value, the power consumption predicted value, and the charge time predicted value that is the basis of the standard travel By multiplying the predicted value by a coefficient according to the degree of congestion or delay by time zone, day of the week, season, etc., in the evaluation data output unit 14, the substance of operation in time zone, day of week, season, etc. Reflect. For example, when it takes time to travel in a certain time zone, each predicted value is increased by multiplying the time zone by a coefficient of 1 or more. The coefficients are set in various coefficient storage units 22.

  A specific example of the coefficient is shown in FIG. In the example of FIG. 3, the coefficient is set to 1 such as 1.05, 1.2, and the like in a traffic jam situation such as 17:00 to 19:00 and 7:30 to 9:00 corresponding to the commuting time zone for the travel time prediction. It is getting bigger. In addition, for the power consumption prediction, the coefficient is set to be larger than 1 such as 1.1 under conditions of temperature rise such as the time zone from 14:00 to 15:00 in August. For the charging time prediction, the coefficient is set to be larger than 1 such as 1.05 in a situation where the charging station and the surroundings are congested such as a time zone from 14:00 to 15:00. In this way, more diverse operation plans can be made by using the coefficient according to the difference in the situation by time zone, day of the week, season, etc. in each prediction of travel time, power consumption, and charging time. Can be considered. Note that the coefficient is set in advance in consideration of signal stop time measured by actual traffic volume, bus stop time, and changes in storage battery performance accompanying changes in temperature.

  The predicted travel time value calculation unit 11-1 calculates the travel time for the provisional schedule of each EV bus. The calculation method includes a method of dividing the distance between bus stops by the average speed of the EV bus, acceleration, deceleration, and position of the vehicle from moment to moment based on vehicle characteristics such as vehicle weight, tire radius, response speed of vehicle operation, etc. A method (running simulation) for calculating a running curve (speed position curve) based on the equation of motion is used. In the case of the latter traveling simulation, the speed of the EV bus is calculated according to predetermined acceleration / deceleration, and the travel curve is created by calculating the movement (position per unit time) of the EV bus according to the speed. The vehicle characteristics of each EV bus are stored in a vehicle characteristics database (DB) 23.

  The predicted power consumption value calculation unit 12-1 is a predicted value of the power consumption required between the bus stops and from the start to the end in EV bus travel based on the travel curve created by the travel time predicted value calculation unit 11-1. Is calculated. The calculation of the predicted power consumption value is based on the calculation method based on the power consumption (km / kwh) of the target EV bus and the travel distance, and the required power amount (energy) based on the speed at which the EV bus moves in the travel simulation. This is done by the calculation method. The following is possible as a power consumption model when calculating the predicted power consumption amount.

  Integrating only travel energy T (s) with travel time T (s)

  Work rate P (W) = running resistance R (N) * vehicle speed V (m / s)

  Note that the traveling resistance R is a force (resistance) acting on the traveling of the vehicle shown in FIG. 4, and is an acceleration resistance (Ra), an air resistance (Rl), a gradient resistance (Rp), and a rolling resistance (Rr). )

  In addition, each EV bus is given a storage amount, and the predicted power consumption value calculation unit 12-1 subtracts the predicted power consumption amount consumed by traveling from the given storage amount to store the power. Calculate the remaining amount.

  As shown in FIG. 5, the estimated charging time calculation unit 13-1 has a charging speed (kwh / unit time) and required charging amount that are possessed as characteristics data of each storage battery mounted on each EV bus. Calculate the charging time at the charging station. The required charge amount here is the charge amount required to charge up to the SoC (State of Charge) upper limit of the storage battery of each EV bus (illustrated as the Soc upper limit in FIG. 5). There are other ways of thinking about this required charge amount, which will be described in the second and subsequent embodiments. In addition, the information of the charging speed and required charge amount which are the characteristics of each storage battery is stored in the vehicle characteristics DB 23 as a part of the vehicle characteristics.

  Next, a series of processing procedures and procedures by the operation plan creation support system 1-1 are shown in the flowchart of FIG.

  As shown in FIG. 6, first, a provisional diagram is set in the provisional diagram storage unit 21 by the operation plan creator (step S <b> 101).

  Further, the operation plan creator sets various coefficients for taking into account the variation factors such as for each time zone and each day of the week in the various coefficient storage unit 22 (step S102).

  When the provisional diamond and various coefficients are set, the travel time predicted value calculation unit 11-1 calculates the travel time predicted value (step S103).

  Next, the predicted power consumption value calculation unit 12-1 calculates a predicted power consumption value (step S104).

  Furthermore, the estimated charging time calculation unit 13-1 calculates the estimated charging time (step S105).

  As described above, when the predicted travel time value, predicted power consumption value, and predicted charge time value are calculated, the evaluation data output unit 14 determines the EV bus position for each time based on these predicted values. Evaluation data, a charging result (vehicle) indicating the storage amount of the storage battery of the EV bus for each driving distance, and a charging result (stand) indicating the time-series charging time of each EV bus at each charging station. (Step S106).

  When the evaluation data is output as described above, based on the evaluation data, the operation plan creator determines whether or not to use the temporary diagram as a temporary operation plan (step S107). Then, when the operation plan creator determines that the temporary diamond is adopted as an official diamond (Yes in step S107), the series of processing procedures and procedures are terminated, and the temporary diamond becomes the official diamond. On the other hand, when the operation plan maker determines that the temporary schedule is not adopted (No in step S107), the operation plan writer reviews various conditions such as operation conditions and EV bus allocation, and sets the temporary schedule and the like. (Step S108), and a series of processing procedures and procedures are executed again.

  In the present embodiment, the above-described processing procedure and procedure are performed. As a result, a traveling result based on each predicted value is output from a temporary diagram as shown in FIGS. 7A and 7B. In FIG. 7A, the EV bus position for each time is shown. In FIG. 7B, the arrival time and departure time for each EV bus stop are shown together with the provisional schedule and the predicted time. This is a format that describes the power consumption until the bus stop. If the difference between the travel result and the temporary diamond is within a desired range, the temporary diamond can be planned as an actual diamond. In addition, the information calculated by the operation plan creation support apparatus 10-1 includes the above-described charging result (vehicle) indicating the result of charging on each EV bus as shown in FIG. 7C, and FIG. 7D. There is a charging result (stand) indicating the result of charging (power feeding) at each charging station as shown in FIG.

  Further, the evaluation data output unit 14 of the operation plan creation support apparatus 10-1, for example, has information that the charging speed needs to be improved in the case where a delay occurs with respect to the provisional time due to the long charging time. Is output (for example, displayed) to the operation plan creator.

  As described above, in the operation plan creation support apparatus 10-1 of the present embodiment, the operation plan creator uses the travel performance (simulation) and the charging result obtained by this apparatus as an index, and the operation plan creator is appropriate for the EV bus to be operated. It is possible to efficiently create a diamond considering charging.

(Second Embodiment)
Next, an operation plan creation support system according to the second embodiment will be described. This embodiment is different from the first embodiment in that a charging policy storage unit 24 for storing a charging policy (details will be described later) is provided so that the charging policy can be arbitrarily set. Below, a different part from 1st Embodiment is demonstrated and the description is abbreviate | omitted about a common part.

  In the first embodiment, for example, the lack of electricity of the storage battery mounted on the EV bus is not particularly considered as the storage battery has a sufficiently large capacity and no electricity shortage occurs. However, in an actual EV bus, there may be a case where the storage battery to be mounted is not a storage battery having a sufficiently large capacity, which may cause a shortage of electricity. In the present embodiment, the charging policy described later can be set, and the charging policy can be evaluated in addition to the provisional diamond, thereby enabling the operation evaluation of the charging system for the EV bus.

  FIG. 8 shows the overall configuration of the operation plan creation support system of the present embodiment, and FIG. 9 shows processing procedures and procedures in the operation plan creation system of the embodiment.

  As shown in FIG. 8, in the operation plan creation support system 1-2 of this embodiment, it is set as the structure which added the charge policy memory | storage part 24 to the structure of 1st Embodiment, and in the operation plan creation support apparatus 10-2, Each prediction unit of the travel time predicted value calculation unit 11-2, the power consumption predicted value calculation unit 12-2, and the charge time predicted value calculation unit 13-2 is set according to the charging policy set in the charging policy storage unit 24, respectively. To make predictions. Further, in the operation plan creation support system 1-2 of the present embodiment, as shown in FIG. 9, in the processing procedure and procedure, the operation plan creator sets the charging policy in the charging policy storage unit 24 ( Step S120) is added. In addition, the location of the charging station is given to the provisional diamond as a part thereof (not shown).

  In the charging policy, the presence or absence of charging, the type of charging (rapid charging, low-speed charging, etc.), etc. at the point where the charging stand is installed (for example, starting point and ending point) are preset by the operation plan creator ( Step S120). In this charging policy, in addition to the above setting contents, settings such as charging until a certain amount of electricity is stored and charging for a certain period of time can be performed uniformly for all vehicles or for each vehicle. Then, the travel time predicted value calculation unit 11-2, the power consumption amount predicted value calculation unit 12-2, and the charge time predicted value calculation unit 13-2 calculate the respective predicted values according to this charging policy.

  FIG. 10 shows an example of the charging policy. As shown in the figure, the charging policy is determined by the charging policy, such as charging time, SoC, destination, etc., and the policy for the policy determination factor ( The charging conditions (for example, 3 minutes, up to the upper limit value, etc.) are defined.

  In the present embodiment, by using this charging policy in the processing in each predicted value calculation unit of the operation plan creation support apparatus 10-2 and following the policy, the operation plan creator can charge at the time of return at the start point / end point, for example. In addition, the contents of charging at the departure time and arrival time (whether or not charging, type, etc.) will also change according to the operation status, time zone, etc., so a wider range of evaluation data You will be able to get

  In the first embodiment, the predicted travel time calculation unit 11-1 calculates the travel time, the predicted power amount calculation unit calculates the power consumption amount, and the predicted charging time calculation unit 13 according to the provisional diagram. -1 calculates the time to charge up to the SoC upper limit value of the battery, but in this embodiment, the location of the charging station is given to the provisional diamond as a part thereof, and the predicted traveling time calculation unit 11-2 However, the charging time at the charging station, which is the charging policy, is estimated and the traveling time is predicted, and the predicted power consumption calculation unit 12-2 predicts the power consumption corresponding to the traveling during the traveling time, and is charged. The predicted time value calculator 13-2 predicts the charging time according to the charging policy. For this reason, for example, if a charging station is specified and the location is in use by another EV bus, it will be on standby while the charging time is specified for 3 minutes. It will be possible to perform an evaluation such as starting before a certain time, or conversely, because the battery has been charged for 3 minutes, it may not be possible to leave at the departure time of the provisional diamond. In addition, since the amount of electricity stored in each EV bus is increased by the charging time, simulation and evaluation as a storage battery charging system can be performed.

  In addition to the example shown in FIG. 10 and the like, the charging policy can have a plurality of policies (scenarios), and can be used properly according to each vehicle, every time zone, and the like. In this embodiment, since it becomes possible to set the charging policy according to the actual situation, the operation plan creator can make the necessary and sufficient time by simulating the operation with charging according to this charging policy. Therefore, it is possible to improve the efficiency of making an operation plan that can charge a necessary and sufficient amount of power.

(Third embodiment)
Next, the operation plan creation support system of the third embodiment will be described in detail with reference to FIGS.

  FIG. 11 is a diagram showing the overall configuration of the operation plan creation support system of the present embodiment. As shown in the figure, in the operation plan creation support system 1-3 according to the present embodiment, the operation plan creation support apparatus 10-3 includes a condition unit 151 and a suggestion unit 152 as compared with the second embodiment. The difference is that a charging policy change proposal unit 15 is further provided. Below, a different part from 2nd Embodiment is demonstrated and the description of a common part is abbreviate | omitted.

  In the first and second embodiments described above, for each provisional diamond to be evaluated, each prediction value is calculated by each corresponding prediction calculation unit, and a traveling result and each charging result based on each calculated prediction value are obtained. Thus, according to the provisional schedule, the EV bus operation will be evaluated by a simulation method including the above-described simple calculation method. In this embodiment, information is provided so that the operation plan creator can take into account changes in the charging policy, changes in the provisional diagram, changes in the installation (setting) of the charging stand, etc. for the driving results and the charging results that are simulation results. By making the operation plan, the operation plan creator can efficiently create the operation plan.

  For example, as shown in FIG. 12, a charging plan duplication (when there is one charging station) at the estimated charging time in the operation (1 to 4) of each EV bus is displayed so that an operation plan is created. Information is provided to the person. Furthermore, the charging policy that is the basis when the overlap occurs is presented. By referring to this, the operation plan creator can expect to avoid duplication by changing the charging policy, and can support the operation plan creation. For this reason, a change condition (rule) that charging station duplication corresponds to a change in charge policy is given to the condition unit 151 in advance. In the proposal part 152, it is investigated whether a prediction result corresponds to the stored change conditions. For example, the change condition of “charging station duplication” is determined by the fact that there is a vehicle charging more than the charging station that can be used at the same place in the same time zone in the above-described simulation.

  In the example of FIG. 12 where there are charging stations in terminal A and terminal B, as a result of the charging station assignment based on the current charging policy, in operation of four EV buses (operations 1 to 4), for example, operation 1 and When operation 2 is around 6000 seconds on the terminal A side, the time from the start of charging to the end of charging in operation 1 and operation 2 overlaps. This indicates that a plurality of chargers are required for the terminal A. When there is one charger, it is necessary to resolve the conflict. This is detected by the proposing unit 152 based on the change condition. In this example, as the operation of the suggestion unit 152 with respect to the change condition, a charging policy that is currently applied that a charging station is assigned based on the charging policy shown in Table 1 below is presented. In addition, this presentation is performed by the proposal part 152 displaying the said charging policy on the display apparatus with which the operation plan preparation assistance apparatus 10-3 is equipped, or an external display apparatus (all are not shown), for example.

  By this presentation, the operation planner can apply a condition other than the charging policy consisting of this condition as a method of resolving the conflict (that is, multiple bus charges assigned to the same stand), or Make it possible to review alternatives such as reviewing the provisional schedule so that the conditions are applicable or increasing the number of charging stations. For this purpose, the charging station applied at the time of applying the charging policy and the time of the charging are recorded in a database or the like, which is referred to when examining the resolution of the conflict. Thereby, when there is a conflict in the charging station, it is possible to create a plan for eliminating the conflict.

  FIGS. 13A and 13B are examples in which the storage amount is displayed in units of operation 1 to operation 4 of the EV bus as another example of information presented by the charging policy change proposing unit 15. When this amount of electricity storage becomes negative, the battery runs out and stops traveling during actual operation. However, since it is possible to reduce the power shortage to 0 by taking measures such as increasing the amount of charge before the amount of electricity stored becomes negative, the operation plan can be provided by further presenting the charging policy when the amount of electricity stored becomes negative. Authors can adopt a different charging policy.

  In the operation plan creation support apparatus 10-3 of the present embodiment, it is possible to perform reevaluation by making each prediction based on the charging policy for resolving the conflict designated by the operation plan creator for the competition at the charging station. I have to. As described above, the charging policy change proposing unit 15 further presents information for prompting the change of the charging policy, so that the operation plan creator can set the charging policy more appropriately.

(Fourth embodiment)
In the second embodiment described above, the entire operation can be evaluated by simulating the operation of the EV bus and the charging of the storage battery of the EV bus at the charging station corresponding to this operation. On the other hand, in this embodiment, the operation plan for efficiently using the storage battery is supported by further considering the performance and life of the storage battery mounted on the EV bus. Hereinafter, the fourth embodiment will be described in detail with reference to FIGS. 14 and 15.

  FIG. 14 is a diagram showing the overall configuration of the operation plan creation support system of the present embodiment. As shown in the figure, the operation plan creation support system 1-4 of the present embodiment is further provided with a charge constraint database (DB) 25 as compared with the second embodiment described above, and uses that information. Is different. Below, a different part from 2nd Embodiment is demonstrated and the description of a common part is abbreviate | omitted.

  In the charging constraint DB 25, information relating to charging performance of each vehicle and charging constraints on the storage battery is set and stored. FIG. 15 shows an example of data set in the charging constraint DB 25. In the example of the figure, for each EV bus, the total charge record and the charge result on the day are recorded as the charge record for the mounted storage battery, and the maximum charge life and the maximum charge time on the day are recorded as information related to the charge restrictions. It is recorded. In addition, the charge performance of each vehicle is updated based on the information of the charge result (stand) output from the operation plan creation assistance apparatus 10-2.

  In the present embodiment, when performing the charge prediction based on the above-described charging policy, further refer to the charging results (total charging results and same-day charging results) for the corresponding storage battery and restrictions on the charging time (maximum charging life and maximum charging time on that day). Thus, it is possible to allocate a charging time. In addition, each battery stored in each EV bus has a battery deterioration control such as using it as uniformly as possible or using it intensively as a charging policy according to the charging results indicating the usage status until then. Be considered.

  Similarly to the second and third embodiments described above, the charging time is calculated according to the charging policy in the charging time predicted value calculation by the charging time predicted value calculation unit 13-2. In this embodiment, at this time, the charging time is calculated. The predicted value calculation unit 13-2 refers to the information in the charging constraint DB 25 and checks whether there is a limitation in the charging time or the like. In the example of FIG. 15, the time obtained by subtracting the actual charging performance from the maximum charging time of the day indicates the time that can be further charged on the current day, and the time obtained by subtracting the total charging performance from the maximum charging lifetime is the lifetime of the storage battery. Therefore, when the estimated charge time exceeds the chargeable time, the estimated charge time including the information is output, and the evaluation data output unit 14 outputs the charge result ( Vehicle) and present it to the operation planner. Thereby, the operation plan maker can manage the charging performance (charging time) of the storage battery in consideration of its life and the like.

  In the present embodiment, the charging constraint DB 25 is installed, and the estimated charging time calculation unit 13-2 executes the charging policy based on the information related to the limitation on the charging time. Therefore, the operation plan creator can control the charging deterioration of the storage battery. It is possible to evaluate the operation including The operation plan creator can also specify which EV bus is assigned to each operation in consideration of the life of the storage battery and the like for the provisional schedule. That is, in this embodiment, since the operation plan creator evaluates the operation plan including the vehicle allocation considering the life of the storage battery and the like, the vehicle allocation plan can also be evaluated.

  The embodiments of the operation plan creation support system including the operation plan creation support device have been described above. As described above, according to the operation plan creation support system of the embodiments, the operation plan creator can efficiently create a final operation plan that takes into consideration necessary charging time and the like from the provisional diamond. .

  While several embodiments of the present invention have been described above, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the scope of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof. For example, in the above-described embodiments, the EV bus has been described as an object. However, the present invention can be similarly applied to electric public transportation such as a streetcar or LRT that uses a storage battery as a power source, and similar effects can be obtained.

1-1 to 1-4 Operation Plan Creation Support System 10-1 to 10-3 Operation Plan Creation Support Device 11-1 to 11-2 Travel Time Prediction Value Calculation Unit 12-1 to 12-2 Calculation of Power Consumption Prediction Value Units 13-1 to 13-2 Estimated charging time calculation unit 14 Evaluation data output unit 15 Charging policy change proposal unit 21 Provisional diamond storage unit 22 Various coefficient storage unit 23 Vehicle characteristic DB
24 charging policy storage unit 25 charging constraint DB
151 Condition part 152 Proposal part

Claims (6)

A travel time predicted value calculation unit that calculates a predicted value of the travel time of the electric vehicle based on a temporary diagram that includes a position on the route and a predetermined time so that the electric vehicle travels on a predetermined route; ,
Based on the provisional diagram, a power consumption predicted value calculation unit that calculates a predicted value of power consumed by the traveling of the electric vehicle;
Based on the provisional diamond, a charging time predicted value calculation unit that calculates a predicted value of a charging time required for charging the storage battery of the electric vehicle at a charging station;
An evaluation data output unit that outputs a value taking into account the variation of each predicted value due to time zone, day of the week, season, etc., as a prediction result of each predicted value calculation unit ;
The electric vehicle travels according to the provisional diagram based on the predicted value of the electric energy calculated by the predicted electric energy consumption value calculation unit and the predicted value of the charging time calculated by the estimated charging time value calculation unit. A proposal unit that proposes a change in the charging policy indicating the SoC that is the charging target of the storage battery of the electric vehicle from the traveling result of the electric vehicle and the charging result, which are simulation results when
An operation plan creation support device comprising: The travel time predicted value calculating unit, the power consumption predicted value calculating unit, and the charging time predicted value calculating unit are configured to charge and not charge at a point where a charging stand is installed corresponding to each vehicle or each time zone. of in accordance with the charging policy, including the designation of the type or the like, and calculating the respective prediction values in each of the prediction value calculation unit, trip plan creation support apparatus according to claim 1. The proposing unit further determines charging competition for the plurality of electric vehicles at the charging station, and presents which of the charging policies is based on when the competition occurs. It proposes a change in the charging policy,
Service plan creation support apparatus according to 請 Motomeko 2.   The proposing unit determines whether or not an electric shortage has occurred in the electric vehicle from the prediction results of the respective predicted value calculation units, and generates an electric shortage when it is determined that the electric vehicle has an electric shortage. The operation plan creation support apparatus according to claim 3, wherein the charging policy is presented.   A charge constraint database for storing a constraint condition related to a life of a storage battery of the electric vehicle, wherein each predicted value calculation unit follows each charging value under the constraint condition, and each predicted value in each predicted value calculation unit The operation plan creation support apparatus according to claim 4, wherein the calculation is performed.   The operation plan creation support apparatus according to claim 5, wherein a prediction method in the predicted travel time value calculation unit, the predicted power consumption value calculation unit, and the predicted charge time value calculation unit can be selected selectively.

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