JP6531827B2 - Method and device for supporting charging of electric vehicle - Google Patents

Description

  The present invention relates to a charge support method and a charge support device for an electric vehicle in a probe data utilization system that collects and processes probe data and outputs processed data according to a request.

  Conventionally, a charging support method is known that searches for charging spots existing around the electric vehicle according to a request from the electric vehicle, and presents information on charging spots reachable by the electric vehicle (for example, Patent Document 1).

Unexamined-Japanese-Patent No. 2012-251989

Here, the user of the electric vehicle feels stress if a waiting time more than expected occurs between the time when the charging spot is reached and the time when the charging is actually started. Therefore, there is a need to know how crowded the charging spot is when it reaches the charging spot.
However, the conventional charging support method only presents information on the charging spot that can be reached by the electric vehicle, and does not take into consideration the traveling time to the charging spot. Therefore, when the electric vehicle actually reaches the charging spot, the charging spot may be congested, and the charging waiting time may be more than expected.

  The present invention was made in view of the above problems, and it is an object of the present invention to provide a charge support method and a charge support device for an electric vehicle that can provide useful information to predict the degree of crowding of charge spots. I assume.

In order to achieve the above object, the present invention processes a database for storing probe data including position information of an electric vehicle and a charge remaining amount information, probe data read out from the database, and outputs processed data according to a request. And a server for supporting charging of the electric-powered vehicle in the probe data utilization system.
When the server receives a request for presentation of charging needs information at an arbitrary time in the information presentation area , the server estimates the planned traveling route of the electric vehicle present in the information presentation area and the periphery thereof based on the probe data. Then, based on the estimated planned traveling route and the probe data , the position and the charge state of the electric vehicle existing in the information presentation area at an arbitrary time are estimated. Furthermore, the distribution of the charging needs at any given time in the information presentation area is estimated based on the charge state of the electrically powered vehicle estimated to be present in the information presentation area at any given time .
Thereafter, the estimated distribution of charging needs is presented on the display .

Therefore, in the present invention, when the information presentation request is output to the server when predicting the crowdedness of the charging spots to be used, the distribution of the charging needs in any area (the peripheral area of the charging spots to be used, etc.) I can know.
Here, the higher the charging needs, the higher the possibility that the charging spots will be crowded. That is, if the distribution of the charging needs can be grasped, it can be predicted at which point the charging spots are crowded, and it is possible to predict the crowding state of the charging spots when arriving at the charging spot that the user wants to use. .
As a result, useful information can be provided to predict the degree of crowding of charging spots.

FIG. 1 is an overall system diagram showing a probe data utilization system having a charge support device of a first embodiment. It is an image figure of point sequence data shown based on probe data. It is a flowchart which shows the flow of the charge assistance information presentation process performed by the charge assistance apparatus of Example 1. FIG. FIG. 7 is an explanatory view showing a setting step of an information presentation area in the charging support information presentation process of the embodiment 1; FIG. 7 is an explanatory view showing a detection step of the electric-powered vehicle in the charge support information presentation process of the first embodiment. FIG. 7 is an explanatory view showing a planned traveling route estimation step of the electrically powered vehicle in the charging support information presentation process of the first embodiment. FIG. 7 is an explanatory view showing a future position of the electric-powered vehicle and a charge remaining amount estimation step in the charge support information presentation process of the first embodiment. FIG. 7 is an explanatory view showing a charging needs map creation step in the charging support information presentation process of the first embodiment. FIG. 7 is an explanatory view showing an example of a charging need map presented in the charging support information presentation process of the first embodiment.

  Hereinafter, a mode for carrying out the charge support method and the charge support device for an electric vehicle of the present invention will be described based on Example 1 shown in the drawings.

Example 1
First, the configuration of the charge assistance device for an electrically powered vehicle in the first embodiment will be described by being divided into “system overall configuration” and “charge assistance information presentation processing configuration”.

[System overall configuration]
FIG. 1 is an overall system diagram showing a probe data utilization system provided with the charge support device of the first embodiment. Hereinafter, the entire system configuration of the embodiment will be described based on FIG.

  The probe data utilization system 1 according to the first embodiment has a server 10 and a database 20 as shown in FIG.

  The server 10 is a computer for collecting probe data, processing the collected probe data, and outputting the processed data. As shown in FIG. 1, the server 10 includes a probe data collection unit 11, a data processing unit 12, a processed data storage unit 13, and a communication unit 14.

The probe data collection unit 11 receives probe data transmitted from a large number of electric vehicles 30 and stores the received probe data in the database 20 to collect probe data of the electric vehicles 30.
The electric vehicle 30 is a vehicle (electric car or plug-in hybrid vehicle) that has a motor as a traveling drive source and can be charged from the outside.

  On the other hand, probe data includes an identification number (vehicle ID) assigned to each electric vehicle 30, position information obtained from a GPS (Global Positioning System) mounted on each electric vehicle 30, and charge remaining amount information. And includes at least point train data, trip data, and charge data. Point train data, trip data, and charge data are stored in the database 20 in association with vehicle IDs.

The point train data is data transmitted from each electric vehicle 30 at regular intervals (for example, 30 seconds) from ignition ON to ignition OFF, and data transmission time, data transmission position, travel distance, remaining charge It consists of quantities.
Here, the “data transmission position” is information (position information) indicating the position of the electric vehicle 30 when the data is transmitted, and is indicated by the latitude and longitude. The "traveling distance" is the distance from the position where the data was transmitted last time to the position where the data was transmitted this time. The “remaining charge amount” is a battery charge remaining amount when data is transmitted, and increases / decreases by repeating charging and running.
Note that this "remaining charge amount" is the charge remaining amount information. Further, when “data transmission positions” shown on the map are connected in time series based on the point sequence data, movement locus information as shown in FIG. 2 is obtained.

The trip data is data transmitted only once from each electric vehicle 30 from ignition ON to ignition OFF, and consists of departure time, arrival time, departure position, arrival position, total mileage, and total power consumption. .
Here, the "departure time" is the time at which the ignition was turned on. The "arrival time" is the time at which the ignition was turned off. The "departure position" is the position of the vehicle when the ignition is turned on. The "arrival position" is the position of the vehicle when the ignition is turned off. The "departure position" and the "arrival position" are indicated by latitude and longitude. The "total travel distance" is the distance from the position where the ignition is turned on to the position where the ignition is turned off, and is the sum of "traveled distances" in the point sequence data. “Total power consumption” is the amount of power consumed from the time the ignition is turned on to the time the ignition is turned off.

The charge data is data transmitted each time the electric vehicle 30 performs external charging, and includes charge position, charge start time, charge completion time, charge electric energy, and charge type.
Here, the "charge position" is a position at which the external charge has been performed, and is indicated by the latitude and longitude. The “charge type” is data indicating a charging method such as normal charging or quick charging.

  The data processing unit 12 reads the probe data stored in the database 20, and uses the read probe data to perform information processing such as a charging support information presentation process described later. Then, the processed data is output to the processed data storage unit 13.

  The processed data storage unit 13 stores the data processed by the data processing unit 12 in the database 20 again.

The communication unit 14 is an external communication mechanism that communicates with a specific electric vehicle 30 (α in FIG. 1). When the communication unit 14 receives the information presentation request transmitted from the electric vehicle α, the communication unit 14 reads necessary information from the processed data stored in the database 20 and is necessary for the electric vehicle α that has output the information presentation request. Transmit information.
The electric vehicle 30 has a control unit 31a that can communicate with the communication unit 14 of the server 10, and a display 31b that can display information received by the control unit 31a. That is, the information transmitted from the communication unit 14 to the electric vehicle 30 is presented on the display 31 b.

  The database 20 is a memory capable of transmitting and receiving data to and from the server 10. In addition to probe data obtained from the plurality of electric vehicles 30, the database 20 stores map data, charging spot data including charging spot installation position and charging type information, processed data and the like.

[Charge support information presentation processing configuration]
FIG. 3 is a flow chart showing a flow of charge support information presentation processing executed by the charge support device of the first embodiment. Hereinafter, the charging support information presentation processing configuration of the first embodiment will be described based on FIG. 3.

In step S1, it is determined whether a request for presentation of charging needs information (request for presentation of charging needs information) has been transmitted from the electric powered vehicle α. In the case of YES (with information presentation request), the process proceeds to step S2, and in the case of NO (without information presentation request), step S1 is repeated.
Here, in the charging needs information presentation request, the user of the electric vehicle α operates the control unit 31 a mounted on the electric vehicle α, for example, by tapping the icon displayed on the display 31 b or the like. Will be sent. Further, the charging needs information presentation request is received by the communication unit 14.

In step S2, following the determination that there is an information presentation request in step S1, an "information presentation area" which is an area for presenting a charging need state is set, and the process proceeds to step S3.
Here, the “information presentation area” can be set arbitrarily, and here, as shown in FIG. 4A, any point selected by the user of electric powered vehicle α (a point shown by a circular icon in FIG. 4A It is set as the area of the predetermined range centering on). Note that the degree of the predetermined range (how far the “predetermined range” is) is arbitrarily set. Further, the selected point serving as a reference when setting the “information presentation area” is transmitted from the electric powered vehicle α together with the charging needs information presentation request.

In step S3, following the setting of the information presentation area in step S2, the information presentation area (the area surrounded by the broken line in FIG. 4B) set in step S2 and the peripheral area of the information presentation area (the broken line in FIG. 4B) The motor-driven vehicle 30 present in the peripheral region of the region enclosed by (1) is detected (indicated by black dots in FIG.
Here, the presence of the electrically powered vehicle 30 is detected based on the position information from the GPS mounted on each of the electrically powered vehicles 30. In addition, the degree of the surrounding area (how far the “periphery area” is to be set) is arbitrarily set.

In step S4, following the detection of the electrically powered vehicle 30 in step S3, one of the detected electrically powered vehicles 30 is selected (referred to as 30A in FIG. 4C), and a route along which the electrically powered vehicle 30A travels in the future (planned travel Path) (shown by a bold line in FIG. 4C), and the process proceeds to step S5. That is, step S4 corresponds to traveling route estimation means for estimating the planned traveling route of each of the plurality of electric vehicles 30 based on the probe data.
Here, the planned traveling route is estimated based on the traveling history of the electric vehicle 30A accumulated as probe data in the database 20, the scheduler (destination information) of the electric vehicle 30A, and the like.

In step S5, following the estimation of the planned traveling route in step S4, the position on the planned traveling route at an arbitrary time (indicated by a double circle in FIG. 4D) of electric powered vehicle 30A whose estimated traveling route is estimated in step S4. And the remaining charge amount (SOC) (indicated by numbers in FIG. 4D) at that time, and the process proceeds to step S6. That is, step S5 corresponds to vehicle position estimation means for estimating the position of each of the plurality of electric vehicles 30 at an arbitrary time based on the estimated planned traveling route information.
Here, the "arbitrary time" is a time set arbitrarily, such as "after 4 hours from now" or "8 pm". Note that "at any time" includes "present". Further, this "arbitrary time" may be set in advance or may be designated by the user of the electric powered vehicle α. When designated by the user of electric powered vehicle α, the time information for setting the “arbitrary time” is transmitted from electric powered vehicle α together with the charging needs information presentation request. Furthermore, "point in time" may be not only one point in time but also a plurality of points in time.
Then, the position of the electric vehicle 30A at an arbitrary time is estimated based on the current location of the electric vehicle 30A, the planned traveling route, the traveling history, the traffic information (traffic congestion information), and the like. Further, the remaining charge amount of the electrically powered vehicle 30A at an arbitrary time point is estimated based on the current remaining charge amount of the electrically powered vehicle 30A, the charging forecast estimated from the charging history, the average electricity cost, the charging schedule and the like.

  In step S6, following the estimation of the position and the remaining charge amount of electric powered vehicle 30A at an arbitrary time point in step S5, the information presentation area set in step S2 and the electric motor detected to be present in the peripheral area of the information presentation area For all of the vehicles 30, it is determined whether estimation of the planned traveling route, the position at any given time, and the remaining charge amount has been completed. In the case of YES (estimated completion), the process proceeds to step S7, and in the case of NO (estimated completion), the process returns to step S4.

In step S7, following the determination of completion of estimation in step S6, a charging needs map at an arbitrary time point set in step S5 is created, and the process proceeds to step S8. That is, step S7 corresponds to charging needs distribution estimating means for estimating the distribution of charging needs in an arbitrary area (information presenting area) based on the estimated position information of the electrically powered vehicle 30.
Here, the “charging needs map” is information in which the distribution of charging needs at an arbitrary time point in the information presentation area set in step S2 is displayed on a map. Here, the position of each electric vehicle 30 at an arbitrary time point estimated in step S5 is indicated by a square icon on the map, and each square icon is colored by a color set according to the estimated remaining charge amount Create a charging needs map by
That is, the charge remaining amount is divided into a plurality of steps, and each step is color-coded so as to gradually change from a warm color to a cold color from the smaller amount to the larger amount. As a result, as shown in an enlarged manner in FIG. 4E, the icon indicating the position of the vehicle (for example, 40% or less) having a small remaining charge amount is colored in warm color such as red (indicated by hatching in FIG. 4E). An icon indicating the location of a high volume vehicle (eg, 70% or more) is colored in a cold color such as blue (shown as white in FIG. 4E). Furthermore, the icon indicating the position of the vehicle (for example, 40% to 70%) having a medium remaining charge amount is colored in an intermediate color such as green (indicated by dots in FIG. 4E). Then, as shown in FIG. 4F, the position distribution of the electric vehicle 30 and the charging are performed by coloring a square icon indicating the position of the electric vehicle 30 with a color according to the charge remaining amount for a large number of electric vehicles 30. The distribution of the remaining amount is displayed on the map in a rain cloud radar style.
At this time, it can be estimated that the need for charging increases as the density of the electric vehicle 30 increases. In addition, it can be estimated that the charge needs become higher as the electric vehicle 30 has a smaller charge remaining amount. For this reason, displaying the distribution of the position of the electric vehicle 30 and the distribution of the remaining charge amount displays the distribution of the charging needs on the map.

In step S8, following the creation of the charging needs map in step S7, the charging needs map created in step S7 is output to the electric powered vehicle α which has sent the charging needs information presentation request, and mounted on the electric powered vehicle α The display 31b is presented, and the process proceeds to step S9. That is, when the information presentation request from the electric vehicle α is generated, the step S8 presents the estimated distribution of the charging needs (charging needs map) on the display 31b of the electric vehicle α that has made the charging needs information presentation request. Corresponds to the charging needs presentation means.
Thus, the user of electric powered vehicle α can grasp the distribution of charging needs at an arbitrary time point in the information presentation area.

In step S9, following the presentation of the charging needs map in step S8, whether the user of electric powered vehicle α selected one charging spot from among the charging spots installed in the information presentation area indicated by the charging needs map Decide whether or not. In the case of YES (with charging spot selection), the process proceeds to step S10, and in the case of NO (with no charging spot selection), the process proceeds to the end.
Here, the charging spot is selected, for example, by displaying an icon indicating the position of the charging spot on the charging needs map and tapping one of the displayed charging spot icons (not shown here). Ru.

In step S10, following the selection of the charge spot in step S9, the charge waiting time at an arbitrary time point (the time set in step S5) in the charge spot selected in step S9 is calculated, and step S11 is performed. Go to
Here, the calculation of the charging waiting time is performed using statistical data of the past usage history of the charging spot, a queue, and the like.

In step S11, following the calculation of the charge waiting time in step S10, a time (recommended departure time) appropriate for departure toward the charging spot selected in step S9 is calculated in step S10. And the process proceeds to step S12.
Here, the “recommended departure time” is a departure time for arriving at the selected charging spot at a timing when the charging waiting time is short. In order to calculate the "recommended departure time", first, an addition time corresponding to the charging waiting time is set in advance. Then, an addition time corresponding to the charging waiting time is added to the traveling time from the current point of electric powered vehicle α to the arrival at the charging spot. Then, the travel time corrected from the recommended arrival time (the time zone in which the charging waiting time is shortened) is subtracted to calculate the “recommended departure time”.

In step S12, following the calculation of the recommended departure time in step S11, the charge waiting time calculated in step S10 and the recommended departure time calculated in step S11 are the electric vehicle α that has transmitted the charging needs information presentation request. To the display 31b mounted on the electric powered vehicle α, and proceeds to the end.
As a result, the user of electric powered vehicle α can grasp the charging waiting time at an arbitrary time point in the selected charging spot and the departure time (recommended departure time) recommended for the charging spot.

Next, the operation will be described.
First, “basic requirements and problems of the electric vehicle user” will be described, and then the “charging support function” of the charging support device of the first embodiment will be described.

[Basic Requirements and Challenges of Electric Vehicle Users]
An electrically powered vehicle such as an electric vehicle having a motor serving as a traveling drive source or a plug-in hybrid requires external charging (external charging) to a battery for supplying power to the motor. Therefore, the user of the electric vehicle moves the vehicle to the charging spots set at various places as needed, and performs charging of the battery.

At this time, the electric vehicle user has a basic request to start charging immediately after arriving at the charging spot. That is, when performing external charging, there is a demand that you do not want to spend time other than charging.
On the other hand, when presenting the charge spot installed around the present location of the own vehicle, the charge assistance device which presents also the fullness information of each charge spot together and guides an empty charge spot can be considered. However, the fullness information in this case is information at the time of searching for the charging spot. Therefore, when the user of the electric vehicle moves to the guided charging spot, the fullness state changes and a waiting time may occur.

  On the other hand, it has been found that, even if a waiting time occurs before the start of charging, the user of the electric vehicle is less likely to feel stress if the waiting time is less than expected. That is, if the difference between the expected waiting time and the actual waiting time is small, the stress felt by the user of the electric vehicle will be small.

On the other hand, there may be a charge support device that predicts future fullness using the usage history of each charging spot and presents this predicted fullness information. Thus, when the future full condition is predicted, it is possible to predict the crowded state of the charging spots in consideration of the traveling time of the electric vehicle. However, when the fullness of the charging spot is predicted based on the usage history, the charging needs around the charging spot are not considered, and it is conceivable that the prediction of the fullness is largely deviated.
That is, since the charge remaining amount of the electric vehicles other than the own vehicle is not grasped at all, the charge needs of each electric vehicle are completely unknown. Therefore, if a large number of electric vehicles trying to use the charging spot other than the own vehicle exist around the charging spot that the electric vehicle user intended to use, the charging waiting time becomes higher than expected. It is possible that the user of the electric vehicle feels strong stress.

[Charge support action]
In the first embodiment, the electric vehicle user operates the control unit 31a mounted on the vehicle, and requests the communication unit 14 of the server 10 of the probe data utilization system 1 to present the charging needs information (hereinafter referred to as “charging needs” Send information request). Here, the charging needs information presentation request is transmitted by touching the icon displayed on the display 31 b.

  Then, when the communication unit 14 receives the charging needs information presentation request, in the flowchart shown in FIG. 3, the process proceeds from step S1 to step S2, and the data processing unit 12 of the server 10 of the probe data utilization system 1 Is set. Here, as shown in FIG. 4A, a predetermined range centering on an arbitrary position (a position indicated by a circular icon in FIG. 4A) selected by the user of electric powered vehicle α is set as the “information presentation area”.

  Next, the process proceeds from step S3 to step S4, and as shown in FIG. 4B, the electric vehicle 30 present in the information presentation area and the peripheral area of the information presentation area is detected. Then, as shown in FIG. 4C, the planned traveling route of one electric vehicle 30A arbitrarily selected is estimated.

  Further, the process proceeds to step S5, and as shown in FIG. 4D, the position of the selected electric vehicle 30A at an arbitrary time point and the remaining charge amount (SOC) at that time are estimated. As a result, it can be understood where the electric vehicle 30A is present at an arbitrary time (for example, after six hours) and how much the remaining charge at that time is.

  Then, for all of the information presentation area and all the electric vehicles 30 present in the area around the information presentation area, estimation of the planned traveling route and estimation of the position and remaining charge amount at any time are sequentially performed, When each estimation is completed in the vehicle 30, the process proceeds from step S6 to step S7, and the icons indicating the positions of the respective electric vehicles 30 are color-coded for each charge remaining amount (see FIG. 4E). A map is created. Then, the process proceeds to step S8, and the charging needs map is displayed on the display 31b of the electric powered vehicle α that has made the charging needs information presentation request.

The charging needs map is information in which the position of the electric vehicle at an arbitrary point in time is color-coded according to the remaining amount of charge and displayed on the map, and indicates the distribution of charging needs at an arbitrary point in time. That is, the distribution of the needs for charging of the electric vehicle user can be presented in a rain cloud radar style, and the user of the electric vehicle α can grasp the charging needs around the charging spot to be used.
As a result, it is possible to improve the prediction accuracy of the charge waiting time, reduce the difference between the actual waiting time and the predicted waiting time, and reduce the stress felt by the electric vehicle user.

  Furthermore, based on the charging needs map, the user of the electric vehicle α can increase the charging needs at an arbitrary time, and can predict charging spots that seem to be crowded. As a result, it is possible to reduce the charge waiting time and reduce stress by changing the charging time or changing the charging spot to be used.

  That is, in the first embodiment, the position and the charge remaining amount of each electric vehicle 30 are detected, and the position and the charge remaining amount of the electric vehicle in the future are predicted based on the detected position information and the charge remaining amount information. Then, if the future position information and the charge remaining amount information of each of the plurality of electric vehicles 30 can be predicted, it can be estimated in which area the vehicle with a low charge remaining amount will increase in the future.

Here, the remaining charge has a strong correlation with the charging needs. That is, as the remaining charge amount decreases, the need for external charging increases, and the need for charging increases. Thus, if the distribution of the remaining charge amount can be grasped, it is possible to grasp the distribution of charging needs in the future. In addition, the density of the electric vehicle also has a correlation with the charging needs. That is, if the density of the electric powered vehicle is high, the number of the electric powered vehicle requiring the external charging relatively increases, and as a result, the charging needs become high. For this reason, if the distribution of the position of the electric vehicle can be grasped, it is possible to grasp the distribution of charging needs in the future.
Then, in the area where the charging needs are predicted to be high, it can be predicted that the charging spots are congested and the waiting time becomes long. Here, regardless of the length of the waiting time, if the actual waiting time is as expected, the user of the electric vehicle is less likely to feel stress.

Therefore, by presenting the distribution of the charging needs in the future, it is possible to improve the prediction accuracy of the charging waiting time and reduce the stress of the electric vehicle user. That is, the distribution information of the future charging needs is useful information to predict the crowded state of the charging spots in the future.
Furthermore, for shortening the charge waiting time, for example, the electrically powered vehicle user performs charging, avoiding charging areas and areas where charging needs are high, based on the predicted distribution of future charging needs. You can also make a decision. Therefore, distribution information of future charging needs will be useful information when selecting a charging spot.
As a result, by presenting distribution information of charging needs, it is possible to provide useful information for predicting the degree of crowding of charging spots.

Furthermore, in the first embodiment, after the charge needs map is provided, if a specific charge spot is selected by the user of the electric vehicle α, the process proceeds from step S9 to step S10 in the flowchart shown in FIG. The charging waiting time at an arbitrary time point is calculated at the charging spot selected using the method such as Then, the process proceeds to step S11, and the recommended departure time corresponding to the calculated charging waiting time is calculated.
Thereafter, the process proceeds to step S12, and the charging wait time and the recommended departure time are presented on the display 31b of the electric vehicle α that has made the charging needs information presentation request.

  As a result, the user of electric powered vehicle α can recognize the charging waiting time at the charging spot to be used and the departure time recommended for shortening the waiting time. As a result, the user of the electric powered vehicle α can cope with changing the charging spot to be used, changing the departure time, and the like to reduce stress.

  Further, in the first embodiment, the charging needs map is created based on the position information of the electric vehicle 30 at an arbitrary time point set in advance and the remaining charge amount at that time. That is, the icons indicating the positions of the respective electric vehicles 30 on the map are color-coded according to the charge remaining amount.

  Thereby, compared with the charge needs map created based only on the position of each electric vehicle 30, ie, the density of the electric vehicle 30, the prediction accuracy of the charge needs can be improved, and a more accurate charge needs map is created be able to.

Next, the effects will be described.
In the charge support method and the charge support device of the electric vehicle according to the first embodiment, the following effects can be obtained.

(1) A database 20 for storing probe data including position information of the electric vehicle 30 and remaining charge information, and probe data read from the database 20 are processed, and processed data is processed in response to a request from the electric vehicle α. In the probe data utilization system 1 having the server 10 outputting to the electric powered vehicle α,
The server 10 is
Based on the probe data, an estimated travel route of each of the plurality of electric vehicles 30 is estimated;
The position of each of the plurality of electric vehicles 30 at an arbitrary time is estimated based on the estimated planned traveling route information,
Based on the estimated position information, estimate the distribution of charging needs (charging needs map) in any area (information presentation area),
When the information presentation request from the electric vehicle α is generated, the distribution of the estimated charging needs (charging needs map) is presented on the display 31 b of the electric vehicle α that has made the information presentation request.
This can provide useful information to predict the degree of crowding of the charging spots.

(2) The server 10 estimates the remaining charge (SOC) of each of the plurality of electric vehicles 30 at an arbitrary time based on the probe data,
Based on the estimated remaining charge information and the estimated position information of the electric vehicle 30, the distribution of the charging needs (charging needs map) is estimated.
As a result, it is possible to improve the prediction accuracy of the distribution of the charging needs rather than estimating the distribution of the charging needs only by the position information of the electric vehicle 30.

(3) The server 10 predicts, based on the estimated distribution of charge needs (charge needs map), the charge waiting time at a specific charge spot specified by the user of the electric powered vehicle α that has made the information presentation request,
The predicted charging waiting time information is presented on the display 31b.
As a result, the user of electric powered vehicle α can grasp the charge waiting time at an arbitrary time point in the charging spot that he / she wants to use, and can take measures to shorten the charge waiting time and reduce stress.

(4) A database 20 for storing probe data including position information of the electric vehicle 30 and remaining charge information, and probe data read from the database 20 are processed, and processed data is processed in response to a request from the electric vehicle α. In the probe data utilization system 1 having the server 10 outputting to the electric powered vehicle α,
The server 10 is
Travel route estimation means (step S4) for estimating a planned travel route of each of the plurality of electric vehicles 30 based on the probe data;
Vehicle position estimation means (step S5) for estimating the position of each of the plurality of electric vehicles at an arbitrary time based on the estimated planned traveling route information;
Charge needs distribution estimation means (step S7) for estimating the distribution of charge needs in any area based on the estimated position information;
Charging needs presentation means (step S8) for presenting the distribution of the estimated charging needs on the display 31b of the electric vehicle α that has made the information presentation request when the information presentation request from the electric vehicle α occurs;
It was set as having composition.
This can provide useful information to predict the degree of crowding of the charging spots.

  As mentioned above, although the charge assistance method and charge assistance device of the electric vehicle of this invention were demonstrated based on Example 1, about a specific structure, it is not restricted to this Example 1, Each claim of a claim Modifications or additions to the design are permitted without departing from the scope of the invention according to the section.

In the first embodiment, a square icon indicating the position of the electric vehicle 30 present in the information presentation area at an arbitrary time point is color-coded according to the remaining charge amount, and the color-coded icon is superimposed on the map to create a charging needs map. An example is shown. However, charging needs are also correlated with the density of electric vehicles. Therefore, a square icon indicating the position of the electric vehicle 30 present in the information presentation area at an arbitrary time may be superimposed and displayed on the map to create the charging needs map.
In this case, it is not necessary to estimate the remaining charge amount of each of the electric powered vehicles 30 at an arbitrary time, and it is possible to shorten the creation time of the charge needs map.

  In the first embodiment, an example is shown in which the charge waiting time is calculated using a queue or the like. However, the present invention is not limited to this. For example, the charge pattern of each of the electric vehicles 30 may be estimated based on the probe data, and the charge waiting time may be corrected using this charge pattern.

  In addition, in the first embodiment, after presenting the charging needs map, when the user of the electric vehicle α selects a charging spot, an example is shown in which the charging waiting time and the recommended departure time of the charging spot are calculated. Not limited to. For example, charging spots to be used may be registered in advance, and charging waiting times and recommended departure times may be presented for the registered charging spots along with the presentation of the charging needs map.

Furthermore, when creating the charging needs map, correction may be made as appropriate.
That is, for example, in the case where there are a plurality of electric vehicles in a predetermined area, and the remaining charge amount of each of the electric vehicles is small, the correction is performed to color the icon by the color of the division having the smaller remaining charge amount. You may
That is, in the case where two electric vehicles are detected in the predetermined area and the remaining charge amount is classified second from the smallest one, the color classified when the remaining charge amount is the smallest is as follows: The icon which shows the position of each electric vehicle is colored. Further, in the case where there are a plurality of electric powered vehicles in a predetermined area and the charge remaining amount of each electric powered vehicle is large, the icon is colored by the color of the division according to the charge remaining amount. That is, in the case where two electric vehicles are detected in the predetermined area and the second remaining battery charge is classified second from the higher one, each electric vehicle is classified according to the color of the charge according to the remaining charge. Color the icon indicating the position of.

  In addition, when there are a plurality of chargers installed in a predetermined area, an icon indicating an electric vehicle present in the vicinity of the charger may be corrected to be colored by the color of the section having a higher remaining charge amount. .

  Furthermore, when displaying an icon indicating the position of the charging spot on the charging needs map, the charging needs map may be displayed after the scale of the charging needs map becomes equal to or less than a predetermined value.

  And although Example 1 showed the example which makes an "information presentation area" the area of the predetermined range centering on the arbitrary point designated by the user of the electric vehicle alpha, it does not restrict to this. For example, the “information presentation area” is an area of a predetermined range centered on the current location of the electric vehicle α that has transmitted the charging needs information presentation request, or an area of a predetermined range centered on the destination of the electric vehicle α It is also good.

  In the first embodiment, an example is shown in which the position information of the electric vehicle 30 is acquired based on the signal obtained from the GPS mounted on each electric vehicle 30, but in the case where reception of the GPS signal is difficult, etc. The vehicle position may be calculated based on a signal obtained using a sensor or a vehicle speed sensor.

Claims (3)

Probe data utilization system comprising: a database for storing probe data including position information of an electric vehicle and a charge remaining amount information; and a server for processing the probe data read from the database and outputting processed data according to a request In
The server is
When a request for presenting charging needs information at an arbitrary time point in the information presentation area is received , estimated traveling routes of the electric vehicle present in the information presentation area and the periphery thereof are estimated based on the probe data,
Estimated planned travel route and on the basis of the probe data to estimate the charge state and position of the electric vehicle present in the information presentation area at the arbitrary point,
Based on the charge state of the electric vehicle that is estimated to be present on the information presentation area at the arbitrary time to estimate the distribution of the charging needs of the arbitrary point in the information presentation area,
A method for assisting charging of an electric vehicle, comprising: presenting a distribution of estimated charging needs on a display. In the method for supporting charging of an electric vehicle according to claim 1 ,
The server predicts, based on the estimated distribution of charging needs, the charging waiting time at a specific charging spot specified by the user of the electric vehicle that has made the presentation request ,
A method for supporting charging of an electric-powered vehicle, comprising: presenting predicted charging waiting time information on a display of the electric-powered vehicle that has made the presentation request . Probe data utilization system comprising: a database for storing probe data including position information of an electric vehicle and a charge remaining amount information; and a server for processing the probe data read from the database and outputting processed data according to a request In
The server is
A travel route estimation means for estimating a planned travel route of the electric vehicle present in the information presentation area and its surroundings based on the probe data when receiving a request for presentation of charging needs information at an arbitrary time in the information presentation area; ,
Estimated planned travel route and on the basis of the probe data, and the vehicle position estimating means for estimating the charged state and position of the electric vehicle present in the information presentation area at the arbitrary point,
Based on the charge state of the electric vehicle that is estimated to be present on the information presentation area at the arbitrary time, and charging needs distribution estimating means for estimating a distribution of charge needs in the arbitrary point in the information presentation area,
Charging needs presentation means for presenting the distribution of estimated charging needs on a display,
A charge assist device for an electric vehicle, comprising:

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