JP2006115623A - Travelable distance estimation system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a travelable distance estimation system that can finely estimate a travelable distance on the basis of the remaining capacity of an in-vehicle battery of an electric automobile. <P>SOLUTION: The travelable distance estimation system 1 is constituted of a plurality of the electric automobiles 2 and a data center 3. The electric automobile 2 comprises: a battery management device 22 that can measure the remaining capacity or the like of the in-vehicle battery; a storing medium 28 stored with map information; a communication device 24; and a display input device 21 that can set a destination or a route, and displays the estimated travelable distance. The data center 3 comprises a data base 35 wherein a link number, a battery consumption amount and the like are stored so as to be made to associate with one another, and the map information is stored; a navigation server 32 that can select the route; and an analysis server 33 that reads out the battery consumption amount at each link belonging to the route. The data center estimates the travelable distance of the electric automobile 2 by comparing the remaining capacity of the in-vehicle battery and the battery consumption amount at each link belonging to the route. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a travelable distance estimation system, and more particularly to a travelable distance estimation system that estimates a distance that can be traveled by a remaining capacity of a vehicle-mounted battery in an electric vehicle.

  2. Description of the Related Art Conventionally, a system for connecting a vehicle and a data center with a communication network such as the Internet and managing the fuel consumption and energy consumption of the vehicle has been developed.

  For example, in the system described in Patent Document 1, the fuel consumption during travel of the vehicle is measured every predetermined time or predetermined distance, and the fuel efficiency information is associated with the measured position and time information and transmitted to the data center. In the data center, the fuel consumption information transmitted is stored in the database corresponding to each point of the map information or corresponding to each route, and the fuel consumption information of the point or route is stored in response to a request from the vehicle. Disclosed and displays the total fuel consumption for the route specified by the user or the automatically set route.

  In the system described in Patent Document 2, the travel route of the vehicle used by the user is stored, and when the user designates the vehicle type of the automobile, the data center that has received the request via the communication network Based on the vehicle type data stored in advance in the database, the amount related to the energy consumption of the designated vehicle type when traveling along the travel route is calculated, and the result is provided to the user.

  Furthermore, in the system described in Patent Document 3, an input unit for inputting a travel distance and a user ID is provided in a service station provided with a fueling facility, and the travel distance transmitted from the service station in the data center. The fuel consumption is calculated from the refueling amount, averaged with the same user's past data, and the average fuel consumption so far is calculated and sent to the user together with the average fuel consumption of the same type of car, so that the user can Determine whether the fuel consumption is good or bad.

  These systems are convenient for drivers who want to improve fuel efficiency and energy consumption, and for drivers who are considering replacing with other vehicle models. For example, routes that consume less energy are automatically used. It may also lead to automatic control of the vehicle such as selecting and running.

  However, drivers of gasoline cars such as the above may pay attention to fuel consumption and energy consumption, but since the service station is everywhere, how much distance is driven with the fuel remaining in the current tank I don't pay much attention to the question of what I can do.

  In that respect, the situation is different for electric vehicles. At present, the charging facilities are not necessarily fully spread, and for electric vehicle drivers, if the remaining capacity of the in-vehicle battery can reach the destination, or if the charging facility cannot be reached, The problem of whether or not the vehicle can travel to a certain place, that is, the problem of estimating the travelable distance is a very important problem.

As an invention that considers such problems in electric vehicles, it is an invention for an in-vehicle navigation system, but a route search to the destination is performed, and the selected route can be reached with the remaining capacity from the distance and gradient information A navigation system that determines whether or not is used has been proposed (see Patent Document 4).
JP 2002-350152 A JP 2004-145727 A JP 2002-167000 A JP 2001-112121 A

  In the navigation system described in Patent Document 4, whether or not it is possible to reach the destination again in the event that an unexpected change such as excessive depression of the accelerator pedal or traffic congestion occurs after the start of traveling toward the destination. If it is determined that it is not reachable, it has been proposed to switch from the normal travel mode to the economy travel mode with reduced power consumption.

  However, since the battery and motor of an electric vehicle deteriorate over time, the fuel consumption of the electric vehicle deteriorates over time. In addition, the fuel consumption and battery consumption of an electric vehicle vary depending on the model of the electric vehicle. Therefore, when the electric vehicle does not have the economy driving mode function as described above, the battery is used in front of the destination or the charging facility even though the navigation system determines that the destination or the charging facility can be reached. The remaining capacity of the battery becomes 0, so that it may become impossible to move in a so-called out-of-gas state.

  On the other hand, the mileage and fuel consumption can certainly change greatly due to excessive depression of the accelerator pedal or road congestion as described above, but these factors are not considered unexpected changes, and those factors are also taken into account. It is desired to construct a travelable distance estimation system capable of calculating consumption and estimating the travelable distance more precisely.

  Accordingly, an object of the present invention is to provide a travelable distance estimation system capable of precisely estimating a travelable distance based on the remaining capacity of an on-vehicle battery of an electric vehicle.

In order to solve the above problem, the travelable distance estimation system according to claim 1,
A battery management device capable of measuring the remaining capacity and battery consumption of the in-vehicle battery;
A storage medium storing map information in which a link with an identification code connecting the node position and the node is set;
A communication device that associates the identification code of the link, the battery consumption consumed to travel the link with the model of the host vehicle, and transmits the data to the data center;
An input device capable of setting a destination or route;
A display device that displays the estimated travel distance,
The display device, from the database of the data center in which the identification code of the link, the battery consumption consumed to travel the link, and the model of the electric vehicle are stored in association with each other, A route selected based on the map information stored in the database with a link with an identification code connecting nodes and the destination set by the input device, or a route set by the input device The battery consumption for each link belonging to the vehicle is read, and the electric vehicle estimated by comparing the remaining capacity of the in-vehicle battery and the battery consumption for each link belonging to the route travels along the route. The travelable distance of the electric vehicle is displayed.

The travelable distance estimation system according to claim 2,
It consists of an electric vehicle and a data center,
The electric vehicle is
A battery management device capable of measuring the remaining capacity and battery consumption of the in-vehicle battery;
A storage medium storing map information in which a node position and a link connecting the nodes are set;
A communication device for associating the battery consumption consumed for traveling on the link with the model of the host vehicle and transmitting it to the data center;
With
The data center is
A database in which the battery consumption consumed to travel the link and the model of the electric vehicle are stored in association with each other;
An analysis server that reads from the database the battery consumption for each link belonging to the path formed by the link combination;
With
The remaining capacity of the in-vehicle battery and the battery consumption for each link are compared to estimate the distance that the electric vehicle can travel.

The travelable distance estimation system according to claim 3,
It consists of multiple electric vehicles and a data center,
The electric vehicle is
A battery management device capable of measuring the remaining capacity and battery consumption of the in-vehicle battery;
A storage medium storing map information in which links are set with positions of nodes and numbers connecting the nodes;
A communication device for associating the number of the link and the battery consumption consumed to travel the link with the model of the host vehicle, and transmitting it to the data center;
An input device capable of setting a destination or route;
A display device that displays the estimated travel distance,
The data center is
The link number, the battery consumption consumed to travel the link, and the model of the electric vehicle are stored in association with each other, and the link to which the position of the node and the number connecting the nodes are attached A database in which the set map information is stored;
A navigation server capable of selecting a route for guiding to the destination based on the destination set by the input device;
An analysis server that reads battery consumption for each link belonging to the selected route or the route set by the input device from the database;
The remaining capacity of the in-vehicle battery is compared with the battery consumption for each link belonging to the route, and the distance that can be traveled when the electric vehicle travels along the route is estimated.

  According to the first to third aspects of the present invention, the electric vehicle reads out the battery consumption data when the vehicle actually travels on the road corresponding to the link of the map information from the battery management device and passes it through the communication device. To the data center. The data center collects and accumulates the battery consumption data separately for each type including the model of the link and the electric vehicle. In addition, for example, a travelable distance is estimated by utilizing data of battery consumption of a route formed by connecting links such as a route set by an electric vehicle or a route selected as a result of navigation.

  According to a fourth aspect of the present invention, in the travelable distance estimation system according to any one of the first to third aspects, the electric vehicle is provided for each link belonging to the route transmitted from the data center. An estimation device that estimates the travelable distance based on a battery consumption amount is provided.

  According to the fourth aspect of the invention, the electric vehicle estimates the distance that can be traveled by the estimation device based on the battery consumption data for each link belonging to the route transmitted from the data center.

  The invention according to claim 5 is the travelable distance estimation system according to claim 2 or claim 3, wherein the analysis server of the data center is based on a remaining capacity of the in-vehicle battery transmitted from the electric vehicle. The travelable distance is estimated and transmitted to the electric vehicle.

  According to the invention described in claim 5, the data center reads out the battery consumption data for each link belonging to the path from the database based on the remaining capacity data of the in-vehicle battery transmitted from the electric vehicle. The travelable distance is estimated and transmitted to the electric vehicle.

The invention according to claim 6 is the travelable distance estimation system according to any one of claims 1 to 5,
The electric vehicle includes an acceleration / deceleration measuring device capable of classifying driving characteristics related to acceleration and deceleration of the host vehicle,
The database of the data center is configured to store the link and the battery consumption consumed for traveling through the link in association with the operation characteristics classified by the acceleration / deceleration measuring device. It is characterized by being.

  According to the sixth aspect of the present invention, the driving characteristics relating to the acceleration / deceleration of the driver are classified in the electric vehicle, and the data of the battery consumption transmitted from the electric vehicle is converted into the link identification code or the electric vehicle in the data center. In addition to the model, it is also stored in association with operating characteristics.

  According to the first to third aspects of the present invention, the electric vehicle reads out the battery consumption data when the vehicle actually travels on the road corresponding to the link of the map information from the battery management device and passes it through the communication device. To the data center. The data center collects and accumulates the battery consumption data separately for each type including the model of the link and the electric vehicle. In addition, for example, a travelable distance is estimated by utilizing data of battery consumption of a route formed by connecting links such as a route set by an electric vehicle or a route selected as a result of navigation.

  As described above, in the travelable distance estimation system according to the present invention, the battery consumption data stored in the data center becomes realistic data, and the data is influenced by the battery consumption such as a model including a year type for each link. Since the data can be classified in detail by dividing into possible elements, it is possible to estimate the in-vehicle battery consumption of the electric vehicle that is going to travel on the road corresponding to the link with realistic numerical values. In addition, since data is stored separately for each model including the model year of the electric vehicle, estimation based on the consumption tendency of the battery specific to that model can be performed, and at the same time, deterioration of the battery, drive motor, etc. over time It is possible to perform estimation that also takes into account.

  Therefore, by collecting a large number of such data from the electric vehicle that actually traveled on the road, the data that is the basis for estimating the travelable distance can be made more reliable and more realistic. . In addition, for the route set by the driver and the route selected as a result of navigation, a table corresponding to the state of each electric vehicle itself and its driving state is selected, and the average consumption data of the battery classified in detail is selected. Since the mileage is estimated based on the classification data that matches the condition of the electric vehicle, the reliability of the estimated mileage is extremely high and the vehicle runs with the remaining capacity of the on-board battery of the electric vehicle. The possible distance can be estimated very precisely and displayed to the driver.

  According to the invention described in claim 4, the electric vehicle estimates the distance that can be traveled by the estimation device based on the battery consumption data for each link belonging to the route transmitted from the data center. In addition to the effects of the invention described in each claim, it is not necessary to estimate the mileage for each electric vehicle at the data center, reducing the processing burden at the data center, and at the same time the data on the electric vehicle side. It is possible to process the data transmitted from the center and perform various processes.

  According to the invention described in claim 5, the data center reads out the battery consumption data for each link belonging to the path from the database based on the remaining capacity data of the in-vehicle battery transmitted from the electric vehicle. Since the travelable distance is estimated and transmitted to the electric vehicle, in addition to the effects of the inventions described in the above claims, the burden of estimating the travelable distance in the electric vehicle is reduced, and at the same time, the size of the data center is large. Processing can be performed by a computer, and the processing speed can be improved.

  According to the sixth aspect of the present invention, the driving characteristics relating to the acceleration / deceleration of the driver are classified in the electric vehicle, and the data of the battery consumption transmitted from the electric vehicle is converted into the link identification code or the electric vehicle in the data center. In addition to the model, the driving characteristics are also stored in association with each other. Therefore, in addition to the effects of the inventions described in the above claims, the battery consumption data stored in the data center database is added to the driver of the electric vehicle. It is possible to collect more detailed information by classifying according to how to decelerate, that is, whether it accelerates or decelerates vigorously or slowly, and in estimating the cruising distance, the driver who affects battery consumption It is possible to perform estimation in a state in which the driving characteristics are also reflected.

  Hereinafter, an embodiment according to a travelable distance estimation system of the present invention will be described with reference to the drawings.

  FIG. 1 is a diagram illustrating an overall configuration of a travelable distance estimation system according to the present embodiment. The travelable distance estimation system 1 includes a plurality of electric vehicles 2 and a data center 3 that can communicate with the electric vehicle 2 via a mobile communication network or the like. The data center 3 also serves as a navigation system that transmits navigation information based on condition settings in the electric vehicle 2.

  The electric vehicle 2 includes a navigation device 21, a battery management device 22, a travel control device 23, and a communication device 24, and the devices 21 to 24 are connected via an in-vehicle LAN. Each of the devices 21 to 23 can communicate with the data center 3 via the communication device 24 and the mobile communication network.

  The navigation device 21 is provided with operation buttons 25 and a display panel 26 as input devices capable of setting a destination or the like for navigation, and also serves as a display device for displaying various information. ing. The navigation device 21 can perform various navigation operations in the same manner as a normal so-called car navigation system. The navigation device 21 is connected to a vehicle position measuring device 27 such as a GPS receiver or a gyro sensor. The own vehicle position measuring device 27 is configured to determine the position of the own vehicle using a GPS navigation method or an autonomous navigation method.

  Furthermore, the navigation device 21 is configured to read information from a storage medium 28 such as a hard disk or a DVD or to store information. The storage medium 28 stores at least map information in which positions of nodes and links connecting the nodes as shown in FIG. 2 are set, and each link is given a link number as an identification code. In the present embodiment, the map information includes position information of the charging facility.

  The navigation device 21 is configured to be able to determine which link in the map information the vehicle is traveling and has reached the node based on the position information of the vehicle by the vehicle position measurement device 27. Yes. Further, a map is displayed on the display panel 26 of the navigation device 21 based on the map information read from the storage medium 28.

  Furthermore, in the present embodiment, the navigation device 21 is configured to function as an estimation device that estimates the travelable distance. That is, as will be described later, the electric vehicle 2 has route information as a result of navigation from the data center 3, data on the average consumption of the battery for each link belonging to the route, and the total value of the data. The navigation device 21 compares each average consumption of the battery for each link belonging to the route with the remaining capacity of the in-vehicle battery of the host vehicle transmitted from the battery management device 22, When traveling along the route, it is determined whether or not the destination can be reached with the remaining capacity, and if the destination cannot be reached, it is estimated how far the vehicle can travel and how far it can travel It is configured. The navigation device 21 displays the estimation result on the display panel 26.

  The battery management device 22 is configured to measure and manage the remaining capacity of an in-vehicle battery (not shown) of the electric vehicle 2 and the battery consumption due to traveling. Further, the battery management device 22 is configured to output the remaining capacity of the in-vehicle battery of the electric vehicle 2 and the battery consumption as probe information in response to an inquiry from the data center 3.

  The travel control device 23 is a device for controlling the overall travel of the electric vehicle 2 and is configured to perform various controls such as a rotational drive of a wheel drive motor (not shown) according to various operations such as a pedal operation by the driver. Has been. The accelerator pedal (not shown) of the electric vehicle 2 is provided with an accelerator sensor (not shown) that monitors the accelerator opening degree indicating the degree of depression of the accelerator pedal.

  The travel control device 23, for example, the rate of change of the accelerator opening data transmitted from the accelerator sensor every fixed period such as 10 ms, that is, the value of the accelerator opening at a certain time and the accelerator opening after the fixed period. The value obtained by dividing the difference from the value of the vehicle by the fixed period is monitored, and the absolute value of the rate of change is divided into three levels with two preset thresholds. A person who performs driving is classified into a characteristic A, a person who performs general driving is classified as a characteristic B, and a person who performs driving with rapid acceleration / deceleration is classified into a characteristic C. As described above, in this embodiment, the travel control device 23 serves as an acceleration / deceleration measurement device that can classify the driving characteristics of the driver regarding acceleration / deceleration of the host vehicle.

  In the present embodiment, the travel control device 23 also manages the air conditioner for air conditioning in the vehicle, and transmits an air conditioner use signal when the air conditioner is being used. . The travel control device 23 responds to destination setting information from the navigation device 21 transmitted via the in-vehicle LAN, information on the remaining capacity of the in-vehicle battery and battery consumption information from the battery management device 22, and the like. You may be comprised so that driving | running | working of the electric vehicle 2 can be controlled automatically or the automatic driving | running | working control of the electric vehicle 2 can be performed according to the instruction | indication from the data center 4 via a mobile communication network.

  The communication device 24 stores type information including the model year of the host vehicle. The communication device 24 transmits the link number of the link traveled by the host vehicle transmitted from the navigation device 21 and the battery. The battery consumption of the in-vehicle battery consumed to travel the link transmitted from the management device 22, the driving characteristics of the driver of the host vehicle transmitted from the travel control device 23, and the air conditioner are used. If it is, the use signal of the air conditioner and the model of the host vehicle are associated with each other and transmitted to the data center 3 via the mobile communication network. Further, the communication device 24 appropriately transmits other information from the electric vehicle 2 to the data center 3, and transmits the information transmitted from the data center 3 to each device 21 to 23 of the electric vehicle 2. Yes.

  On the other hand, the data center 3 includes a database server 31, a navigation server 32, an analysis server 33, and a communication server 34, which are connected via a LAN.

  A database 35 is connected to the database server 31, and as shown in FIG. 3, the database 35 includes a table that is defined by a link number and a model of an electric vehicle and stores average battery consumption. Saved. In the table, when a link number is changed or added due to division or route change, a record defined by the link number is changed or added.

  Further, when the link number, the battery consumption amount, and the model described above are transmitted from the electric vehicle 2, the database server 31 sets the battery consumption amount in a portion defined by the link number of the table and the model of the electric vehicle. It comes to write. That is, in each part of the table, in addition to the above-described average battery consumption as shown in FIG. 3, the battery consumption data transmitted and accumulated from other electric vehicles and the current electric vehicle 2 are stored. The newly transmitted battery consumption data is stored.

  In addition, the database server 31 deletes old data that has exceeded a preset time limit or data that has exceeded a preset number of data from the battery consumption data stored in each part of the table. And updating the data. Further, the database server 31 stores the battery consumption data transmitted from other electric vehicles stored in each part of the table and accumulated, and the battery consumption newly transmitted from the electric vehicle 2 this time. An average value with the data is calculated and stored as an average battery consumption.

  In this embodiment, as described above, since the driving characteristics of the driver and the use signal of the air conditioner are further transmitted from the electric vehicle 2, the table includes the link number and the type of the electric vehicle as shown in FIG. In addition, a table defined by operating characteristics is used. In addition, another set of tables when an air conditioner is used is created and used.

  In addition, the database 35 stores map information in which links to which positions of nodes used for navigation and link numbers as identification codes connecting the nodes are attached are set. The database server 31 rewrites the map information in the database 35 when a route is changed or a node, a link, or the like is changed or added due to land readjustment or the like. Further, the database server 31 is configured to read a necessary portion of the map information from the database 35 in response to a request from the navigation server 32 or the like.

  The navigation server 32 is a computer for performing navigation in response to a request from the electric vehicle 2, and information on the destination transmitted from the navigation device 21 mounted on the electric vehicle 2, the current position of the electric vehicle 2, and the like. Based on the above, the map information stored in the database 35 is referred to search for a route for guiding to the destination.

  In the present embodiment, the navigation server 32 refers to the table stored in the database 35, and among the combinations of nodes and links that can reach the destination from the current position of the electric vehicle 2, The route having the smallest total distance, that is, the route having the shortest distance to the destination is selected. The selected route is transmitted to the electric vehicle 2 as a set of nodes and links, and is simultaneously transmitted to the analysis server 33.

  In selecting a route, there is a method to select the route that minimizes the total battery consumption corresponding to each link. The same route is selected. Further, as in the present embodiment, the method of simply summing the distances of the links has the effect of shortening the processing time because it is not necessary to refer to the table.

  The analysis server 33 is selected based on the air conditioner use signal transmitted from the electric vehicle 2 with reference to either the air conditioner use table or the air conditioner not use table stored in the database 35. The average consumption of each battery corresponding to the model and driving characteristics of the electric vehicle 2 is extracted for each link belonging to the route.

  The analysis server 33 is configured to calculate the sum of the average consumption of each battery and transmit the total value and the average consumption of each battery to the electric vehicle 2.

  The communication server 34 is a communication device for managing communication with the electric vehicle 2 and distributes the numerical values transmitted to the data center 3 via the router 36 or the like to the servers 31 to 33. A result output from each of the servers 31 to 33 is configured to be transmitted to the electric vehicle 2 via the router 36 or the like.

  Next, the operation of the travelable distance estimation system according to this embodiment will be described.

  Transmission of battery consumption from the electric vehicle 2 to the data center 3 and accumulation of data in the data center 3 are performed according to the flowchart shown in FIG.

  First, in the electric vehicle 2, the value of the battery consumption of the battery management device 22 is reset (step S1), and the latitude and longitude of the current position of the own vehicle transmitted from the own vehicle position measuring device 27 in the navigation device 21. Whether or not the node defined by the latitude and longitude has been reached is determined based on the map information read from the storage medium 28 (step S2). When the navigation device 21 determines that the host vehicle has reached the node, the navigation device 21 sends a start signal to the battery management device 22, and the battery management device 22 integrates the battery consumption for each preset time (step S3).

  When it is determined that the navigation device 21 has reached the next node (step S4), the navigation device 21 sends a transmission signal to the battery management device 22 and the travel control device 23, and the link number of the link that the vehicle has traveled by itself. Output. Further, the battery management device 22 outputs the integrated value of the battery consumption so far as the battery consumption, and the traveling control device 23 outputs the air conditioner use signal when the classified driving characteristics and the air conditioner are used. Is output.

  The communication device 24 associates the link number output from each device, the battery consumption, the operating characteristics, and the air conditioner use signal if the air conditioner is used with the model of the host vehicle via the mobile communication network. To the data center 3 (step S5). The above procedure is repeated on the electric vehicle side.

  The database server 31 of the data center 3 deletes, from the table, old data that has exceeded a preset time limit or data that has exceeded a preset number of data among the data of the table stored in the database 35. (Step S6).

  In addition, when there is a transmission from the electric vehicle 2 to the data center 3 (step S7), the database server 31 has been transmitted to a part specified by the link number of the table of the database 35, the type of the electric vehicle, and the driving characteristics. The battery consumption is added and stored (step S8). Further, the database server 31 calculates the average value of the previous battery consumption data stored in each part of the table and the battery consumption data transmitted this time, and stores it in the database 35 as the average battery consumption. (Step S9).

  In this way, data is accumulated in the data center 3, and preparation for providing information is completed (step S10). Note that the data center 3 continuously updates and accumulates data by repeating the above procedure.

  Next, the procedure for estimating the travelable distance of the electric vehicle 2 based on the average battery consumption data defined by the link number and the like stored in the data center 3 in this manner is shown in the flowchart of FIG. Based on In the following description, a description will be given of route selection for guiding the current position of the electric vehicle 2 and map information to the destination, that is, estimating the travelable distance together with navigation.

  In order to make the data center 3 perform navigation, the driver of the electric vehicle 2 first sets a destination with the operation button 25 or the like of the display input device 21 (step S11), and sets a departure point or sets the destination. If it is necessary to set a waypoint on the way, the setting is performed at this stage. Then, whether to use the air conditioner when traveling to the destination is set (step S12). These settings are transmitted to the data center 3 together with the model of the host vehicle stored in the communication device 24 and the driving characteristics of the driver read from the travel control device 23 (step S13).

  In the data center 3, when there is a navigation request from the electric vehicle 2 (step S 14), the navigation server 32 determines the destination and the current position or departure location of the electric vehicle 2, and the waypoint if the waypoint is set. Based on this information, a necessary part of the map information is read out from the database 35 and a route for guiding to the destination is searched with reference to the link distance or the like (step S15), and the distance of the link to the destination is determined. The route with the shortest sum is selected (step S16).

  The analysis server 33 determines whether the setting content transmitted from the electric vehicle 2 includes an air conditioner use signal (step S17), and uses the air conditioner based on the type of the electric vehicle 2 and the driving characteristics of the driver. When the signal is included, the table when the air conditioner is used is referred to in the database 35 (step S18). When the air conditioner use signal is not included, the table when the air conditioner is not used is referred to in the database 35 (step S19). The average battery consumption for each link belonging to the route selected by the server 32 is extracted (step S20).

  The analysis server 33 calculates the sum of the average battery consumption of all links belonging to the selected route (step S21), and the node and link pairs belonging to the route are transmitted to the electric vehicle 2 as route information. The average battery consumption for each link belonging to the route and the total value thereof are transmitted to the electric vehicle 2 (step S22).

  When there is a transmission from the data center 3 to the electric vehicle 2 (step S23), the transmitted route is set in the navigation device 21 (step S24) so that it follows the position of the node on the map displayed on the display panel 26. The route is superimposed and displayed in a line.

  Then, the navigation device 21 compares the average consumption of the battery for each link belonging to the route and the remaining capacity of the in-vehicle battery of the host vehicle transmitted from the battery management device 22 and travels along the route. Whether or not the destination can be reached with the remaining capacity is determined. If the destination cannot be reached, it is estimated how far the vehicle can travel and how far it can travel (step S25).

  Specifically, the navigation device 21 reads the remaining capacity of the in-vehicle battery of the own vehicle from the battery management 22 and compares it with the total average consumption of the battery for each link belonging to the route transmitted from the data center 3. If the remaining capacity is larger than the total of the average battery consumption, such as the remaining capacity A and the remaining capacity B shown in FIG. 7, it is estimated that the destination can be reached.

  When the destination can be reached with less than 90% of the remaining capacity as in the remaining capacity A, all the routes on the map of the display panel 26 are displayed in black.

In addition, when it is estimated that the destination can be reached with the remaining capacity like the remaining capacity B, but it is estimated that 90% or more of the remaining capacity is consumed before reaching the destination, the remaining capacity the route to reachable nodes N _m at 90% is displayed in black, the path from the node N _m to the destination displayed in yellow, the remaining capacity of the battery was subjected to reduced charge to the driver Inform them that it is better.

When the remaining capacity of the in-vehicle battery is smaller than the total average consumption of the battery as in the remaining capacity C shown in FIG. 7, the navigation device 21 estimates that the destination cannot be reached. Then, to display the route to the node N _m-2 reachable black in 90% of the remaining capacity, the route node to N _m-1 reachable yellow remaining capacity of 100% from the node N _m-2 The driver is informed that charging is necessary, and the route from the node N _m-1 to the destination is displayed in red to indicate that it cannot be reached.

FIG. 8 is a diagram illustrating a map and a route displayed on the display panel in the case of the remaining capacity C in FIG. In the present embodiment, in this way, the route is displayed as a black line up to the node N _m-2, and is displayed in yellow before the node N _m-2 . Note that the portion ahead of the node N _m-2 is shown by a black dotted line in FIG. 8 for the sake of explanation, but is actually displayed by a yellow solid line. In addition, the display of “Node N _m-2 ” on the map is described for explanation and is not actually displayed, and Node N _m-1 is not included in this map on the display panel. .

  In the present embodiment, as shown in FIG. 8, the navigation device 21 alerts that charging is necessary by displaying the route in yellow as described above, and at the same time, from the map information of the storage medium 28, the charging equipment The position information is read out and superimposed on the map of the display panel 26. Further, the navigation device 21 calculates the distance to the destination by adding the distances of the links belonging to the route, calculates the difference between the distance to the destination and the travel distance to the present, and displays the display panel 26. The difference is displayed as “Up to Destination” below.

In the navigation device 21, the “estimated travelable distance” from the current position is displayed below the display panel 26 in order to alert the driver. The calculation of the "estimated travel distance" sums the distance of each link to the node N _m-1 reachable residual capacity C in FIG. 7, further node N _m-1 the travelable distance battery from By calculating from the consumption and adding to the total, first, an estimated travelable distance estimated to be travelable with the remaining capacity C is calculated. Then, the estimated travelable distance is subtracted from the estimated travelable distance to obtain the “estimated travelable distance”.

  Since the estimated travelable distance is a constant value that is uniquely calculated from the remaining capacity C of the on-vehicle battery at the time of departure of the electric vehicle 2, the “estimated travelable distance” is displayed as the travel distance of the electric vehicle 2 increases. "Will decrease.

  As described above, according to the travelable distance estimation system of the present embodiment, battery consumption when traveling on a link from a large number of electric vehicles 2 that actually traveled on a road corresponding to the map information link of the data center 3. Collect quantity data and do it for all links to accumulate data. Further, the data is divided and stored for each model including the year of the electric vehicle 2.

  Therefore, the battery consumption data stored in the data center 3 can be made more realistic, and the actual consumption of the on-board battery of the electric vehicle 2 that is going to travel on the road corresponding to the link will be realized. It can be estimated with typical numerical values. In addition, since the data is stored separately for each model including the model year of the electric vehicle 2, it is possible to estimate based on the consumption tendency of the battery peculiar to the model, and at the same time, the time of the battery, the drive motor, etc. It is possible to perform estimation taking into account degradation.

  Further, the battery consumption varies relatively depending on how the driver of the electric vehicle 2 accelerates or decelerates, that is, whether acceleration or deceleration is performed vigorously or slowly. However, based on such driving characteristics of the driver. By further classifying and collecting the data, it is possible to perform estimation including the driving characteristics of the driver.

  As described above, in the travelable distance estimation system according to the present embodiment, in the accumulation of data in the data center, the data is influenced by the battery consumption such as the model including the year type for each link, the driving characteristics, and the use / non-use of the air conditioner. The data can be classified in detail by dividing it into possible elements. In addition, by collecting a large number of such data from the electric vehicle 2 that actually traveled on the road, it is possible to make the data that is the basis for estimating the travelable distance more reliable and more realistic. it can.

  Also, in estimating the travelable distance, for the route selected as a result of navigation, select a table corresponding to the state of each electric vehicle itself and the travel state, and the data on the average consumption of the battery classified in detail Since the travelable distance is estimated based on the classification data suitable for the state of the electric vehicle 2 from among the above, the reliability of the estimated travelable distance becomes very high.

  Furthermore, since the estimation is based on the data classified in detail and having high reliability as described above, it is possible to precisely estimate the distance that can be traveled by the remaining capacity of the in-vehicle battery of the electric vehicle.

  Note that the estimation of the travelable distance may be performed in the data center 3 instead of in the electric vehicle 2 as in the embodiment. That is, in the procedure of estimating the travelable distance shown in FIG. 6, when the setting contents, model, and driving characteristics are transmitted from the electric vehicle 2 to the data center 3 (step S13), the remaining capacity of the in-vehicle battery of the electric vehicle 2 Are simultaneously transmitted, and the estimation of the travelable distance performed by the electric vehicle 2 based on the average battery consumption of each link belonging to the route transmitted from the data center 3 is all performed in the analysis server 33 of the data center 3. And the result may be transmitted to the electric vehicle 2.

  Further, in the present embodiment, a case has been described in which a route that leads to a destination set by the electric vehicle 2 is selected by navigation by the navigation server 32 of the data center 3, but the driver side uses the navigation device 21 as an input device. It is also possible to set a route in advance, transmit information on the route to the data center 3, and the data center 3 can be configured to perform processing based on the set route. In this case, the route set by the driver is displayed in a color-coded manner on the display panel 26 of the navigation device 21 as described above.

  Furthermore, in the present embodiment, it is assumed that the driving characteristics of the driver in the electric vehicle 2 are values determined for each electric vehicle by the travel control device 23 classifying from past accelerator opening data. However, in addition to this, for example, the driving characteristics may be updated from the rate of change of the accelerator opening data within a predetermined time, and the driving characteristics may be classified for each link. You may comprise so that it may transmit to the data center 3. FIG.

  It is also possible to configure so that the so-called raw data of the accelerator opening is transmitted to the data center 3 and the data center 3 performs classification. Further, instead of classifying the driving characteristics based on the rate of change of the accelerator opening, for example, an acceleration sensor is attached to the electric vehicle 2 so that the driving characteristics are classified based on the frequency at which acceleration / deceleration exceeding the threshold is measured. It is also possible to collect data that can classify whether the driver moderately accelerates or decelerates or decelerates rapidly.

  On the other hand, the table stored in the database 35 of the data center 3 is further categorized by time zone in order to reflect the traffic congestion of the road, or in addition to the air conditioner, for example, use of CD, MD, radio, etc. It is also possible to further classify by other factors that may affect the battery consumption, such as the presence or absence of battery.

  Further, each of the servers 31 to 34 of the data center 3 can be configured using a server in which the functions of a plurality of servers are integrated into one.

It is a figure explaining the whole structure of the runable distance estimation system which concerns on this embodiment. It is a figure explaining the node and link in map information. It is a figure explaining the table regarding the consumption of a battery. It is a figure explaining the table classified further finely about operational characteristics. It is a flowchart which shows the procedure of accumulation | storage of the data from an electric vehicle to a data center. It is a flowchart which shows the procedure in which the driving | running | working distance of an electric vehicle is estimated based on the data of the average consumption of the battery accumulate | stored in the data center. It is a figure explaining the principle of making the display panel display the path | route reflecting the estimated driving distance. It is a figure explaining the map and path | route which are displayed on a display panel in the case of the remaining capacity C of FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Travelable distance estimation system 2 Electric vehicle 21 Navigation apparatus 22 Battery management apparatus 23 Travel control apparatus 24 Communication apparatus 28 Storage medium 3 Data center 32 Navigation server 33 Analysis server 35 Database

Claims (6)

A battery management device capable of measuring the remaining capacity and battery consumption of the in-vehicle battery;
A storage medium storing map information in which a link with an identification code connecting the node position and the node is set;
A communication device that associates the identification code of the link, the battery consumption consumed to travel the link with the model of the host vehicle, and transmits the data to the data center;
An input device capable of setting a destination or route;
A display device that displays the estimated travel distance,
The display device, from the database of the data center in which the identification code of the link, the battery consumption consumed to travel the link, and the model of the electric vehicle are stored in association with each other, A route selected based on the map information stored in the database with a link with an identification code connecting nodes and the destination set by the input device, or a route set by the input device The battery consumption for each link belonging to the vehicle is read, and the electric vehicle estimated by comparing the remaining capacity of the in-vehicle battery and the battery consumption for each link belonging to the route travels along the route. A travelable distance estimation system for displaying a travelable distance of the electric vehicle. It consists of an electric vehicle and a data center,
The electric vehicle is
A battery management device capable of measuring the remaining capacity and battery consumption of the in-vehicle battery;
A storage medium storing map information in which a node position and a link connecting the nodes are set;
A communication device for associating the battery consumption consumed for traveling on the link with the model of the host vehicle and transmitting it to the data center;
With
The data center is
A database in which the battery consumption consumed to travel the link and the model of the electric vehicle are stored in association with each other;
An analysis server that reads from the database the battery consumption for each link belonging to the path formed by the link combination;
With
A travelable distance estimation system that compares the remaining capacity of the in-vehicle battery and the battery consumption for each link and estimates the travelable distance of the electric vehicle. It consists of an electric vehicle and a data center,
The electric vehicle is
A battery management device capable of measuring the remaining capacity and battery consumption of the in-vehicle battery;
A storage medium storing map information in which a link with an identification code connecting the node position and the node is set;
A communication device that associates the identification code of the link, the battery consumption consumed to travel the link, and the model of the host vehicle, and transmits the data to the data center;
An input device capable of setting a destination or route;
A display device that displays the estimated travel distance,
The data center is
A database in which the identification code of the link, the battery consumption consumed to travel the link, and the model of the electric vehicle are stored in association with each other;
The route selected based on the map information stored in the database and the destination set by the input device in which the link with the identification code connecting the node position and the node is set, or the input An analysis server for reading out battery consumption for each link belonging to the path set by the device from the database;
A travel characterized by comparing a remaining capacity of the in-vehicle battery and a battery consumption for each link belonging to the route, and estimating a travelable distance when the electric vehicle travels along the route. Possible distance estimation system.   The said electric vehicle is provided with the estimation apparatus which estimates the said driving | running | working distance based on the battery consumption for every link which belongs to the said path | route transmitted from the said data center. The travelable distance estimation system according to any one of the above.   The analysis server of the data center is configured to estimate the travelable distance based on the remaining capacity of the in-vehicle battery transmitted from the electric vehicle and transmit the estimated distance to the electric vehicle. The travelable distance estimation system according to claim 2 or 3. The electric vehicle includes an acceleration / deceleration measuring device capable of classifying driving characteristics related to acceleration and deceleration of the host vehicle,
The database of the data center is configured to store the link and the battery consumption consumed for traveling through the link in association with the operation characteristics classified by the acceleration / deceleration measuring device. The travelable distance estimation system according to any one of claims 1 to 5, wherein the travelable distance estimation system according to any one of claims 1 to 5 is provided.

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