KR20210079569A - Apparatus and method for predicting driving distance according to driving mode of electric vehicle - Google Patents

Abstract

The present invention relates to an apparatus and a method for predicting a drivable distance according to a driving mode of an electric vehicle. According to the provided method for predicting the drivable distance, a charging state of a battery is determined, and distance information to an arrival point and congestion information indicating a congestion state according to a speed of any vehicle passing a route are collected. Also, based on an average power consumption according to the driving mode, the congestion information and the prediction information indicating the drivable distance according to the charging state are calculated. Then, the distance information and the prediction information are compared, and the prediction information is output. The method for predicting the drivable distance of the present invention comprises: a judgment step; a collection step; a comparison step; and an output step.

Description

Apparatus and method for predicting driving distance according to driving mode of electric vehicle {APPARATUS AND METHOD FOR PREDICTING DRIVING DISTANCE ACCORDING TO DRIVING MODE OF ELECTRIC VEHICLE}

The present invention relates to an apparatus and method for predicting a drivable distance according to a driving mode of an electric vehicle, and more particularly, to an apparatus and a method for predicting a drivable distance according to a driving mode classified according to power consumption of an electric vehicle. and methods.

An electric vehicle (EV) is a vehicle driven by rolling wheels with an electric motor, and is distinguished from a general vehicle in which a mixture of air and fossil fuels such as gasoline, diesel, and natural gas is exploded in an internal combustion engine to operate a piston.

On the other hand, electric vehicles are also divided into electric vehicles (EVs) that can run at high speed over long distances on highways and electric vehicles (NEVs) that can run at low speeds in the city. Although a solar cell or a rechargeable storage battery may be used for electricity, most electric vehicles receive electricity from the storage battery.

Accordingly, in order to prevent the battery from being discharged while driving, the electric vehicle requires a method of estimating the driving distance according to the current state of charge of the battery.

The technical problem to be solved by the present invention is to provide a drivable distance prediction apparatus and method for predicting a drivable distance according to a driving mode classified according to the power consumption of an electric vehicle.

According to an aspect of the present invention, there is provided a method for predicting a drivable distance according to a driving mode of an electric vehicle, the method comprising: determining a charging state of an electric vehicle battery; collecting distance information on a route from a point where the electric vehicle is located to a preset arrival point and congestion information indicating a congestion state according to the speed of any vehicle passing the route; calculating, based on the average power consumption according to the driving mode of the electric vehicle, prediction information indicating the driving distance according to the charging state and the congestion information for the route, and comparing the distance information with the prediction information; and outputting the prediction information.

In addition, the comparing of the distance information with the prediction information may include, based on the average power consumption of the electric vehicle in which the driving mode is set to the normal mode, the general indicating the drivable distance according to the charging state and the congestion information for the route. The method may further include calculating prediction information and comparing the distance information with the general prediction information.

Also, the outputting of the prediction information may include outputting the general prediction information when the general prediction information is longer than the distance information.

In addition, the comparing of the distance information with the prediction information may include, when the general prediction information is shorter than the distance information, based on the average power consumption of the electric vehicle in which the driving mode is set to the power saving mode, the congestion information for the route and calculating power saving prediction information indicating a driving distance according to the charging state, and comparing the distance information with the power saving prediction information.

In addition, the outputting of the prediction information may include, when the power saving prediction information is shorter than the distance information, outputting a path from a point where the electric vehicle is located to a battery charging point adjacent to a point where the electric vehicle is located. It may further include the step of

The outputting of the prediction information may include: outputting the power saving prediction information when the power saving prediction information is longer than the distance information; and outputting a control request to a control input for changing a driving mode of the electric vehicle to a power saving mode.

In addition, the outputting of the prediction information may include, when a control input for maintaining the driving mode of the electric vehicle is received from the outside according to the control request, from a point at which the electric vehicle is located to a point at which the electric vehicle is located. The method may further include outputting a path to a battery charging point adjacent to .

Also, the battery charging point may be selected according to available information indicating an available state of the battery charging point received from the battery charging point.

Another aspect of the present invention provides a state estimator for determining a state of charge of an electric vehicle battery; an information collecting unit that collects distance information on a route from a point where the electric vehicle is located to a preset arrival point and congestion information indicating a congestion state according to a speed of an arbitrary vehicle passing the route; a control unit configured to calculate prediction information indicating a drivable distance according to the charging state and the congestion information on the route based on the average power consumption according to the driving mode of the electric vehicle, and compare the distance information with the prediction information; and an output unit for outputting the prediction information.

In addition, the control unit calculates general prediction information indicating a driving distance according to the charging state and the congestion information for the route, based on the average power consumption of the electric vehicle in which the driving mode is set to the normal mode, and the distance The information may be compared with the general prediction information.

Also, the output unit may output the general prediction information when the general prediction information is longer than the distance information.

In addition, when the general prediction information is shorter than the distance information, the controller may be configured to drive according to the congestion information for the route and the charging state based on the average power consumption of the electric vehicle in which the driving mode is set to the power saving mode. The power saving prediction information indicating the distance may be calculated, and the distance information and the power saving prediction information may be compared.

Also, when the power saving prediction information is shorter than the distance information, the output unit may output a path from a point where the electric vehicle is located to a battery charging point adjacent to a point where the electric vehicle is located.

Also, when the power saving prediction information is longer than the distance information, the output unit may output the power saving prediction information and output a control request for a control input for changing the driving mode of the electric vehicle to the power saving mode.

In addition, when receiving a control input for maintaining the driving mode of the electric vehicle according to the control request from the outside, the output unit charges a battery adjacent to a point where the electric vehicle is located from a point where the electric vehicle is located You can print the route to a point.

Also, the battery charging point may be selected according to available information indicating an available state of the battery charging point received from the battery charging point.

According to one aspect of the present invention described above, by providing an apparatus and method for predicting a drivable distance according to a driving mode of an electric vehicle, a drivable distance can be predicted according to a driving mode classified according to the electric power consumption of the electric vehicle.

1 is a schematic diagram of a drivable distance prediction system including a drivable distance prediction apparatus according to an embodiment of the present invention.
2 is a control block diagram of an apparatus for predicting a drivable distance according to an embodiment of the present invention.
3 is a block diagram illustrating a process of predicting a drivable distance by an apparatus for predicting a drivable distance according to an embodiment of the present invention.
4 to 6 are schematic diagrams illustrating a process of comparing different information in the control unit of FIG. 2 .
7 is a flowchart of a method for predicting a drivable distance according to an embodiment of the present invention.
8 to 9 are detailed flowcharts of a step of comparing the distance information and the prediction information of FIG. 7 .

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS [0023] Reference is made to the accompanying drawings, which show by way of illustration specific embodiments in which the invention may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different but need not be mutually exclusive. For example, certain shapes, structures, and characteristics described herein with respect to one embodiment may be implemented in other embodiments without departing from the spirit and scope of the invention. In addition, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the present invention. Accordingly, the detailed description set forth below is not intended to be taken in a limiting sense, and the scope of the invention, if properly described, is limited only by the appended claims, along with all scope equivalents to those claimed. Like reference numerals in the drawings refer to the same or similar functions throughout the various aspects.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the drawings.

1 is a schematic diagram of a drivable distance prediction system including a drivable distance prediction apparatus according to an embodiment of the present invention.

The drivable distance prediction system 1 may include a satellite device 100 , a charging device 200 , a server device 300 , and an electric vehicle 400 .

The satellite device 100 may determine the location of the electric vehicle 400 and transmit it to the electric vehicle 400 or the server device 300, and the satellite device 100 determines the location of the charging device 200, It may be transmitted to the server device 300 .

As such, the satellite device 100 may determine the location of an arbitrary device to which the satellite navigation system is applied by using a global positioning system (GPS) or the like.

On the other hand, in the satellite device 100 to determine the location of the electric vehicle 400 or the charging device 200, it is a matter of course that previously known techniques can be used, and in this regard, the satellite device 100 is a GPS , GNSS (Global Navigation Satellite System), etc. may perform the operation.

The charging device 200 may charge the battery 410 provided in the electric vehicle 400 , and for this purpose, the charging device 200 may include a connection terminal to be connected to the electric vehicle 400 . At this time, the charging device 200 may charge the battery 410 of the electric vehicle 400 in a contact or non-contact manner using a known technology. It is possible to change the state of charge of the battery 410 provided in the .

Meanwhile, the charging device 200 may generate available information indicating the available state of the charging device 200 and transmit it to the server device 300 or the electric vehicle 400 .

In this case, the charging device 200 may mean a plurality of charging devices 200 provided in an arbitrary charging point. In this case, the charging point is the available state of the plurality of charging devices 200 provided at the charging point. You can build a system to manage

Here, the available state of the charging device 200 is a state in which the charging device 200 is connected to the electric vehicle to charge the electric vehicle, and a state in which the charging device 200 is unavailable due to a failure in the charging device 200 . and a state in which the charging device 200 can be used.

In this regard, the system for managing the available states of the plurality of charging devices 200 is the charging state of the electric vehicle 400 connected to the charging device 200 , and the electric vehicle 400 is connected to the charging device 200 . The available information may further include a charging start time at which the vehicle starts charging and the like, a charging start time of the electric vehicle 400, and an expected charging completion time according to a charging state.

Such a charging device 200 and a system including a plurality of charging devices 200 may use a known technology, of course.

The server device 300 may be wirelessly or wiredly connected to an external network to collect map information. At this time, the map information is located at any point located on the map and road information existing within a preset area range. It may include address information indicating an address for the .

In this case, the server device 300 may set a point on the road adjacent to any address information set as the departure location as the starting point, and the server device 300 may set a point on the road close to any address information set as the arrival location. can be set as the destination point.

Accordingly, the server device 300 may generate route information indicating a route from a departure point to an arrival point, and in this case, the route information may mean information displayed on a road on which a vehicle may proceed.

On the other hand, the server device 300 may further collect congestion information indicating a congestion state according to the speed of an arbitrary car passing each road in the route information, and the server device 300 generates the route information, information can be applied. Accordingly, the route information may indicate a route with the shortest time elapsed from the starting point to the arrival point according to the traveling speed of the vehicle and the distance information of the road on the road connecting the starting point and the arrival point.

Meanwhile, the server device 300 may set a charging point at which the charging device 200 is located as an arrival point, and the charging point is an available charging device 200 according to available information received from different charging points. may indicate an existing charging point, and the charging point may be a charging point in which a time elapsed from a starting point to an arrival point among charging points where the available charging device 200 exists is indicated by the shortest path.

In this regard, the server device 300 receives map information, congestion information, available information, etc. from a network connected by wire or wirelessly, and generates route information from an arbitrary departure point to an arrival point set from the outside. (Navigation) system.

As such, a known technology may be used for the server device 300 used for navigation, etc., and the above-described satellite device 100 , the charging device 200 and the server device 300 are previously known technologies. can be replaced.

The electric vehicle 400 operates an electric motor using the electric energy stored in the battery 410 , and the ability to move may be generated by rolling wheels according to the operation of the electric motor. As such, the electric vehicle 400 operates according to a complex mechanical and electrical configuration including a battery 410, an Electronic Control Unit (ECU), an Electric Power Steering (EPS), a converter, an inverter, and the like. However, it can be understood that the electric vehicle 400 of FIG. 1 includes a battery 410 and a drivable distance prediction device 420, which is briefly shown to help the understanding of the present invention. It should be understood that the present invention is not limited by such an embodiment.

The drivable distance prediction apparatus 420 may determine the state of charge of the battery 410 . In this case, the state of charge of the battery 410 may indicate a ratio of the electric capacity charged in the battery 410 to the maximum value of the electric capacity that can be charged in the battery 410 , The state of charge may be indicated by measuring the SoC (State of Charge), voltage, and current of the battery 410, and measuring the state of charge of the battery 410 may be easily performed by those skilled in the art, so a detailed description will be given below. to be omitted.

The drivable distance prediction device 420 obtains distance information on a route from a point where the electric vehicle 400 is located to a preset arrival point and congestion information indicating a congestion state according to the speed of any vehicle passing through the route. can be collected

Here, it can be understood that the drivable distance prediction device 420 sets a point where the electric vehicle 400 is located as a starting point, and in this case, the drivable distance prediction device 420 is transmitted from the satellite device 100 . The location of the receiving electric vehicle 400 may be transmitted to the server device 300 to be set as a starting point.

In this regard, the drivable distance prediction device 420 may transmit a command to the server device 300 to set a point where the electric vehicle 400 is located as a starting point, and in this case, the server device 300 may A point at which the electric vehicle 400 is located may be received from the satellite device 100 and may be set as a starting point.

Also, the drivable distance prediction apparatus 420 may receive an arrival point from the outside, and in this case, the arrival point may be input in the form of address information indicating an arbitrary point on the map.

Accordingly, the drivable distance prediction device 420 may deliver the arrival point to the server device 300 , and in this case, the server device 300 may generate route information from the starting point to the arrival point, and the server device 300 may transmit distance information indicating a distance according to the generated route information and congestion information appearing on each road existing in the corresponding route information to the drivable distance prediction apparatus 420 .

The drivable distance prediction device 420 may determine the drivable distance based on the average power consumption according to the driving mode of the electric vehicle 400 , congestion information on route information and the drivable distance according to the charging state of the battery 410 of the electric vehicle 400 . may calculate prediction information indicating , and the drivable distance prediction apparatus 420 may compare the distance information according to the route information and the prediction information.

At this time, the driving mode may be to determine the operating states of different devices provided in the electric vehicle 400 , and for example, when the driving mode is the normal mode, the electric vehicle 400 is the electric vehicle 400 . Electric energy can be supplied to most devices included in the battery 410 . Accordingly, the electric energy consumed by the battery 410 may be expressed as the sum of power consumption of different devices operating in the normal mode.

On the other hand, when the driving mode is the power saving mode, the electric vehicle 400 may block electric energy applied to at least one or more preset devices among different devices provided in the electric vehicle 400 , and accordingly , the electric energy consumed in the battery 410 may be less consumed compared to the normal mode.

In this case, the device that cuts off electrical energy in the power saving mode may include electric devices such as headlights, air conditioners, ventilation seats, heaters, and instrument panel LEDs, and the electric vehicle 400 lowers the output illuminance of LEDs in power saving mode or , controlling a shift ratio, limiting the maximum speed, and the like.

Meanwhile, the driving mode of the electric vehicle 400 may include a high performance mode, and the high performance mode may operate to apply more electrical energy to at least one device as compared to a normal mode.

Accordingly, the average power consumption according to the driving mode may be set in advance, and the average power consumption may be calculated as an average value according to an experimental value of the power consumption repeatedly measured in the same mode. may be provided by a manufacturer of the electric vehicle 400 .

The drivable distance prediction apparatus 420 may calculate prediction information using information such as average power consumption according to the driving mode of the electric vehicle 400 , congestion information, and the charging state of the electric vehicle 400 .

In this case, the drivable distance prediction device 420 may calculate general prediction information indicating the drivable distance according to the average power consumption of the electric vehicle in which the driving mode is set to the normal mode, and the drivable distance prediction device 420 may drive It is possible to calculate power saving prediction information indicating the driving distance according to the average power consumption of the electric vehicle in which the mode is set to the power saving mode.

Meanwhile, the drivable distance prediction device 420 may calculate a time interval required for the charging state to reach a preset charging range according to the average power consumption, and the drivable distance prediction device 420 may calculate during the calculated time interval. Prediction information may be generated by calculating a distance that the electric vehicle 400 can move from the speed of the vehicle according to the congestion information.

Here, the preset charging range may mean a range that is not predicted or is set to compensate for errors occurring in the prediction process, for example, the preset charging range is set to 10% In this case, the drivable distance prediction apparatus 420 may calculate the time interval according to the average power consumption by excluding 10% of the state of charge of the battery 410 .

Accordingly, the drivable distance prediction apparatus 420 may compare the distance information from the departure point to the arrival point indicated in the route information with the prediction information, and determine information output to the user according to the comparison result.

For example, the drivable distance prediction device 420 may be configured to indicate the drivable distance according to the charging state and congestion information for route information based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the normal mode. Prediction information may be calculated, and accordingly, distance information appearing in the route information may be compared with general prediction information.

Accordingly, when the distance interval shown in the general prediction information is longer than the distance interval shown in the distance information, the drivable distance prediction apparatus 420 may control to output the general prediction information.

On the other hand, when the distance interval shown in the general prediction information is shorter than the distance interval shown in the distance information, the drivable distance prediction device 420 is based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the power saving mode, Congestion information on the route information and power saving prediction information indicating the driving distance according to the charging state may be calculated, and the driving distance prediction device 420 may compare the distance information shown in the route information and the power saving prediction information.

Accordingly, when the distance interval shown in the power saving prediction information is longer than the distance interval shown in the distance information, the drivable distance prediction device 420 outputs power saving prediction information and sets the driving mode of the electric vehicle 400 to the power saving mode. It is possible to output a control request for a control input to be changed.

In this case, the control request for the control input may appear in the form of asking the user whether to change the driving mode to the power saving mode, and accordingly, the drivable distance prediction device 420 changes the driving mode to the power saving mode from the user. A control input or a control input for maintaining a driving mode may be input.

Accordingly, when receiving a control input for maintaining the driving mode of the electric vehicle 400 from the user, the drivable distance prediction apparatus 420 calculates a path from the point where the electric vehicle 400 is located to the battery charging point. output can be controlled.

To this end, it can be understood that the drivable distance prediction device 420 sets a point where the electric vehicle 400 is located as a starting point, and in this case, the drivable distance prediction device 420 is transmitted from the satellite device 100 . The receiving location of the electric vehicle 400 may be transmitted to the server device 300 to be set as the starting point, or the drivable distance prediction device 420 may be located at the server device 300 at the location of the electric vehicle 400 . You can also pass a command to set as the starting point.

In addition, the drivable distance prediction device 420 may transmit a command to set the charging point as the destination point to the server device 300 , and in this case, the server device 300 provides route information from the starting point to the nearest charging point. can create

In this case, the server device 300 may set an available battery charging point as an arrival point according to available information of the battery charging point, where the available battery charging point is a time according to route information from a starting point to an arrival point. The sum of the interval and the expected charging completion time of the charging device 200 may be a charging point having the charging device 200 at the shortest time interval.

On the other hand, when the distance interval shown in the power saving prediction information is shorter than the distance interval shown in the distance information, the drivable distance prediction device 420 controls to output a path from the point where the electric vehicle 400 is located to the battery charging point. can do.

Meanwhile, the drivable distance prediction system 1 may be implemented by more components than the components shown in FIG. 1 , and may be implemented by fewer components. For example, the drivable distance prediction system 1 may perform a complex function by integrating the server device 300 and the drivable distance prediction device 420 into one component.

2 is a control block diagram of an apparatus for predicting a drivable distance according to an embodiment of the present invention.

The drivable distance prediction apparatus 420 may include a state estimator 421 , an information collection unit 422 , a control unit 423 , and an output unit 424 .

The state estimator 421 may determine the state of charge of the battery 410 . In this case, the state of charge of the battery 410 may indicate a ratio of the electric capacity charged in the battery 410 to the maximum value of the electric capacity that can be charged in the battery 410 .

The information collection unit 422 collects distance information on a route from a point where the electric vehicle 400 is located to a preset arrival point and congestion information indicating a congestion state according to the speed of any vehicle passing through the route. can

In this case, the information collection unit 422 may further include an input unit 422a, a communication unit 422b, and a storage unit 422c, and accordingly, the communication unit 422b receives the electric vehicle 400 from the satellite device 100. receiving the location of , the communication unit 422b may transmit the location of the electric vehicle 400 to the server device 300 to set it as a starting point.

Alternatively, the communication unit 422b may transmit a command to the server device 300 to set a point where the electric vehicle 400 is located as a starting point.

The input unit 422a may receive an arrival point from the outside, and in this case, the arrival point may be input in the form of address information indicating an arbitrary point on the map.

Accordingly, the communication unit 422b may transmit the arrival point to the server device 300 , and in this case, the server device 300 may generate path information from the starting point to the arrival point, and the communication unit 422b may provide the path Distance information indicating a distance according to the information and congestion information appearing on each road existing in the corresponding route information may be transmitted from the server device 300 .

The storage unit 422c may store information generated by the input unit 422a and the communication unit 422b , and the storage unit 422c may also store information generated by the control unit 423 .

Based on the average power consumption according to the driving mode of the electric vehicle 400 , the control unit 423 may include congestion information on route information and prediction information indicating a driving distance according to the charging state of the battery 410 of the electric vehicle 400 . may be calculated, and the controller 423 may compare distance information according to the route information and prediction information.

In this case, the driving mode may be to determine operating states of different devices provided in the electric vehicle 400 , and in this case, the driving mode may include a normal mode and a power saving mode.

The controller 423 may calculate prediction information using information such as average power consumption according to the driving mode of the electric vehicle 400 , congestion information, and the charging state of the electric vehicle 400 .

In this case, the control unit 423 may calculate general prediction information indicating the drivable distance according to the average power consumption of the electric vehicle in which the driving mode is set to the normal mode, and the control unit 423 is the electric vehicle in which the driving mode is set to the power saving mode. It is possible to calculate power saving prediction information indicating the drivable distance according to the average power consumption of the .

Meanwhile, the control unit 423 may calculate a time interval for the charging state to reach a preset charging range according to the average power consumption, and the control unit 423 may calculate the time interval from the vehicle speed according to the congestion information during the calculated time interval. Prediction information may be generated by calculating a distance that the electric vehicle 400 can move.

Accordingly, the controller 423 may compare the distance information from the departure point to the arrival point shown in the route information with the prediction information, and determine the information output to the user according to the comparison result.

For example, the controller 423 calculates, based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the normal mode, congestion information for route information and general prediction information indicating the drivable distance according to the charging state. and thus, distance information appearing in the route information and general prediction information can be compared.

Accordingly, when the distance interval indicated by the general prediction information is longer than the distance interval indicated by the distance information, the controller 423 may control to output the general prediction information.

On the other hand, when the distance interval shown in the general prediction information is shorter than the distance interval shown in the distance information, the controller 423 controls the route information based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the power saving mode. The power saving prediction information indicating the driving distance according to the congestion information and the charging state may be calculated, and the controller 423 may compare the distance information displayed in the route information and the power saving prediction information.

Accordingly, when the distance interval shown in the power saving prediction information is longer than the distance interval shown in the distance information, the control unit 423 outputs power saving prediction information and a control input for changing the driving mode of the electric vehicle 400 to the power saving mode You can control to output a control request for .

In this case, the control request for the control input may appear in the form of asking the user whether to change the driving mode to the power saving mode, and accordingly, the input unit 422a is a control input for changing the driving mode to the power saving mode or driving from the user. A control input that maintains the mode can be input.

Accordingly, when the input unit 422a receives a control input for maintaining the driving mode of the electric vehicle 400 from the user, the control unit 423 controls the path from the point where the electric vehicle 400 is located to the battery charging point. output can be controlled.

To this end, the communication unit 422b may transmit the location of the electric vehicle 400 received from the satellite device 100 to the server device 300 to set as a starting point, or the communication unit 422b may transmit the location of the electric vehicle 400 received from the satellite device 100 to the server device 300 . ) may transmit a command to set a point where the electric vehicle 400 is located as a starting point.

Also, the communication unit 422b may transmit a command to set the charging point as the arrival point to the server device 300 .

Accordingly, the communication unit 422b may receive route information from the server device 300 from the starting point where the electric vehicle 400 is located to the destination point where the battery charging point is located.

Meanwhile, when the distance interval indicated by the power saving prediction information is shorter than the distance interval indicated by the distance information, the controller 423 may control to output the path from the point where the electric vehicle 400 is located to the battery charging point.

The output unit 424 may output the prediction information generated by the control unit 423 .

The output unit 424 may output the general prediction information when a distance interval shown in the general prediction information is longer than a distance interval shown in the distance information.

The output unit 424 may output the power saving prediction information when the distance interval shown in the power saving prediction information is longer than the distance interval shown in the distance information, and in this case, the output unit 424 is the driving mode of the electric vehicle 400 . A control request can be output to a control input that changes to power saving mode.

When the input unit 422a receives a control input for maintaining the driving mode of the electric vehicle 400 from the user, the output unit 424 outputs a path from the point where the electric vehicle 400 is located to the battery charging point. can do.

The output unit 424 may output a path from a point where the electric vehicle 400 is located to a battery charging point when the distance interval shown in the power saving prediction information is shorter than the distance interval shown in the distance information.

To this end, the output unit 424 may include a device such as a display and a speaker to output a route on a map.

3 is a block diagram illustrating a process of predicting a drivable distance by an apparatus for predicting a drivable distance according to an embodiment of the present invention.

Referring to FIG. 3 , the state estimating unit 421 may determine the state of charge of the battery 410 , and the communication unit 422b of the information collecting unit 422 may be configured in advance from a point where the electric vehicle 400 is located. It is possible to collect distance information on a route to a set destination point and congestion information indicating a congestion state according to the speed of an arbitrary vehicle passing through the route.

At this time, the communication unit 422b receives the location of the electric vehicle 400 from the satellite device 100 , and the communication unit 422b transmits the location of the electric vehicle 400 to the server device 300 to set it as a starting point, or , or, the communication unit 422b may transmit a command to the server device 300 to set a point where the electric vehicle 400 is located as a starting point, and in this case, the server device 300 is the satellite device 100 . A point at which the electric vehicle 400 is located may be collected from the , and may be set as a starting point.

Meanwhile, the input unit 422a may receive an arrival point from the outside, and accordingly, the communication unit 422b may transmit the arrival point to the server device 300 .

In this case, the server device 300 may generate route information from a starting point to an arrival point, and the communication unit 422b may provide distance information indicating a distance according to the route information and congestion appearing on each road existing in the route information. Information may be transmitted from the server device 300 .

Accordingly, the storage unit 422c may receive and store the charging state, distance information, congestion information, control input, etc. generated by the state estimator 421 , the input unit 422a and the communication unit 422b .

Accordingly, the control unit 423 determines, based on the average power consumption according to the driving mode of the electric vehicle 400 , congestion information on the route information and the drivable distance according to the charging state of the battery 410 of the electric vehicle 400 . The indicated prediction information may be calculated, and the controller 423 may compare the distance information according to the path information and the prediction information.

At this time, the control unit 423 may calculate general prediction information indicating the drivable distance according to the congestion information and the charging state for the route information based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the normal mode. Accordingly, distance information appearing in the route information and general prediction information can be compared.

Accordingly, the controller 423 may control to output the general prediction information when the distance interval shown in the general prediction information is longer than the distance interval shown in the distance information, and in this case, the output unit 424 outputs the general prediction information. can be printed out.

On the other hand, when the distance interval shown in the general prediction information is shorter than the distance interval shown in the distance information, the controller 423 controls the route information based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the power saving mode. The power saving prediction information indicating the driving distance according to the congestion information and the charging state may be calculated, and the controller 423 may compare the distance information shown in the route information and the power saving prediction information.

Accordingly, when the distance interval indicated by the power saving prediction information is longer than the distance interval shown in the distance information, the controller 423 outputs the power saving prediction information and a control input for changing the driving mode of the electric vehicle 400 to the power saving mode You can control to output a control request for . In this case, the output unit 424 may output power saving prediction information and output a control request, and the input unit 422a inputs a control input for changing the driving mode to the power saving mode or a control input for maintaining the driving mode from the user. can receive

When receiving a control input for maintaining the driving mode of the electric vehicle 400 from the user from the input unit 422a, the controller 423 outputs a path from the point where the electric vehicle 400 is located to the battery charging point. control, and in this case, the output unit 424 may output a path from the point where the electric vehicle 400 is located to the point of charging the battery.

The controller 423 may control to output a path from the point where the electric vehicle 400 is located to the battery charging point when the distance interval indicated by the power saving prediction information is shorter than the distance interval indicated by the distance information, and the output unit (424) may output the corresponding path.

4 to 6 are schematic diagrams illustrating a process of comparing different information in the control unit of FIG. 2 .

4 to 6 show distance information 310 from a departure point to an arrival point shown in the route information, general prediction information 423a indicating a drivable distance when the driving mode is set to the normal mode, and the driving mode in the power saving mode. It is a schematic diagram comparing the power saving prediction information 423b indicating the drivable distance when set to .

Referring to FIG. 4 , it can be confirmed that the distance interval shown in the general prediction information 423a is longer than the distance interval shown in the distance information 310 .

In this case, the drivable distance prediction apparatus 420 may output general prediction information.

5 and 6 , it can be confirmed that the distance interval shown from the general prediction information 423a is shorter than the distance interval shown from the distance information 310 .

In this case, the drivable distance predicting device 420 performs power saving indicating the drivable distance according to the charging state and congestion information on the route information based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the power saving mode. Prediction information 423b may be calculated.

Accordingly, as shown in FIG. 5 , when the distance interval shown from the power saving prediction information 423b is longer than the distance interval shown from the distance information 310 , the drivable distance prediction device 420 may output the power saving prediction information 423b. In addition, the drivable distance prediction apparatus 420 may output a control request for requesting a control input whether to change the driving mode to the power saving mode.

Accordingly, when receiving a control input for maintaining the driving mode of the electric vehicle 400 from the user, the drivable distance prediction apparatus 420 calculates a path from the point where the electric vehicle 400 is located to the battery charging point. can be printed out.

On the other hand, as shown in FIG. 6 , when the distance interval shown from the power saving prediction information 423b is shorter than the distance interval shown from the distance information 310 , the drivable distance prediction device 420 is a point at which the electric vehicle 400 is located. It is possible to output the path from to the battery charging point.

7 is a flowchart of a method for predicting a drivable distance according to an embodiment of the present invention.

Since the drivable distance prediction method according to an embodiment of the present invention proceeds in substantially the same configuration as the drivable distance prediction device 420 shown in FIG. 1 , it has the same configuration as the drivable distance prediction device 420 of FIG. 1 . The same reference numerals are assigned to the elements, and repeated descriptions will be omitted.

The drivable distance prediction method includes the steps of determining the state of charge of the battery (600), comparing the distance information with the prediction information (610), comparing the distance information with the prediction information (620), and outputting the prediction information 630 may be included.

In step 600 of determining the state of charge of the battery, the state of charge of the battery 410 may be determined.

In the step 610 of comparing the distance information and the prediction information, the distance information on the route from the point where the electric vehicle 400 is located to the preset arrival point and the congestion state according to the speed of any car passing the route are evaluated. It is possible to collect identity information indicating

To this end, the step 610 of comparing the distance information and the prediction information receives the location of the electric vehicle 400 from the satellite device 100 , and sets the location of the electric vehicle 400 to the server device 300 as a starting point. Alternatively, the step 610 of comparing the distance information and the prediction information may transmit a command to the server device 300 to set a point where the electric vehicle 400 is located as a starting point.

Meanwhile, in the step 610 of comparing distance information and prediction information, an arrival point may be input from the outside, and in this case, the arrival point may be input in the form of address information indicating an arbitrary point on the map.

Accordingly, the step 610 of comparing the distance information and the prediction information may deliver the arrival point to the server device 300, and in this case, the server device 300 may generate route information from the departure point to the arrival point. In the step 610 of comparing the distance information and the prediction information, distance information indicating a distance according to the route information and congestion information appearing on each road existing in the route information may be transmitted from the server device 300 .

Comparing the distance information and the prediction information ( 620 ) is based on the average power consumption according to the driving mode of the electric vehicle 400 , traffic congestion information for route information and the battery 410 charging state of the electric vehicle 400 . Prediction information indicating the drivable distance may be calculated according to the traversing distance, and the step of comparing the distance information and the prediction information ( 620 ) may compare the distance information according to the route information and the prediction information.

For example, in the step 620 of comparing distance information and prediction information, based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the normal mode, it is possible to drive according to the congestion information for the route information and the charging state. The general prediction information 423a indicating the distance may be calculated, and accordingly, the distance information 310 displayed in the path information and the general prediction information 423a may be compared.

Accordingly, in the step 620 of comparing the distance information and the prediction information, when the distance interval shown from the general prediction information 423a is longer than the distance interval shown from the distance information 310, the general prediction information 423a is output. can be controlled

Meanwhile, in the step 620 of comparing the distance information and the prediction information, when the distance interval shown from the general prediction information 423a is shorter than the distance interval shown from the distance information 310, the driving mode is set to the power saving mode ( 400), it is possible to calculate the power saving prediction information 423b indicating the driving distance according to the congestion information for the route information and the charging state, and comparing the distance information with the prediction information ( 620 ). may compare the distance information 310 and the power saving prediction information 423b appearing in the path information.

Accordingly, in the step 620 of comparing the distance information and the prediction information, when the distance interval shown from the power saving prediction information 423b is longer than the distance interval shown from the distance information 310, the power saving prediction information 423b is output and , it is possible to control to output a control request for a control input for changing the driving mode of the electric vehicle 400 to the power saving mode.

Accordingly, in the step 620 of comparing the distance information and the prediction information, when a control input for maintaining the driving mode of the electric vehicle 400 is received from the user, the electric vehicle 400 is located at the battery charging point. You can control to output the path to .

Meanwhile, in step 620 of comparing the distance information and the prediction information, when the distance interval shown from the power saving prediction information 423b is shorter than the distance interval shown from the distance information 310, the electric vehicle 400 is It can be controlled to output the path to the battery charging point.

In step 630 of outputting the prediction information, the prediction information may be output.

The step of outputting the prediction information 630 may output the general prediction information 423a when the distance interval shown in the general prediction information 423a is longer than the distance interval shown in the distance information 310 .

In step 630 of outputting the prediction information, when the distance interval shown from the power saving prediction information 423b is longer than the distance interval shown from the distance information 310, the power saving prediction information 423b may be output. In step 630 of outputting the information, a control request for a control input for changing the driving mode of the electric vehicle 400 to the power saving mode may be output.

In step 630 of outputting the prediction information, when a control input for maintaining the driving mode of the electric vehicle 400 is received from the user, the path from the point where the electric vehicle 400 is located to the battery charging point is output. can

In step 630 of outputting the prediction information, when the distance interval shown from the power saving prediction information 423b is shorter than the distance interval shown in the distance information 310, from the point where the electric vehicle 400 is located to the battery charging point. You can print the path.

8 to 9 are detailed flowcharts of steps of comparing distance information and prediction information of FIG. 7 .

Referring to FIG. 8 , in the step 620 of comparing distance information and prediction information, based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the normal mode, traffic congestion information for route information and the charging state are performed. The method may further include calculating general prediction information indicating the drivable distance ( 621 ).

Accordingly, in the step 620 of comparing the distance information and the prediction information, the distance information 310 and the general prediction information 423a appearing in the path information may be compared ( 622 ), and the distance displayed from the general prediction information 423a . When the interval is longer than the distance interval shown in the distance information 310 , the step of outputting the general prediction information 631 may output the general prediction information 423a.

On the other hand, when the distance interval shown in the general prediction information 423a is shorter than the distance interval shown in the distance information 310, the step 626 of calculating the power saving prediction information is the electric vehicle 400 in which the driving mode is set to the power saving mode. Based on the average power consumption of , it is possible to calculate the power saving prediction information 423b indicating the drivable distance according to the congestion information for the route information and the charging state.

Referring to FIG. 9 , in the step 620 of comparing distance information and prediction information, based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the power saving mode, congestion information for route information and the charging state are performed. The method may further include calculating ( 626 ) power saving prediction information indicating the drivable distance.

Accordingly, in the step of comparing the distance information and the prediction information ( 620 ), the distance information 310 and the power saving prediction information appearing in the path information can be compared ( 627 ), and the distance interval shown from the power saving prediction information 423b is the distance. If it is longer than the distance interval shown in the information 310, the step of outputting the power saving prediction information 636 may output the power saving prediction information 423b, and changing the driving mode of the electric vehicle 400 to the power saving mode By outputting a control request for the control input (637), the control input may be received from the outside.

Accordingly, when a control input for maintaining the driving mode is received from the outside, the step 638 of outputting the path to the battery charging point outputs the path from the point where the electric vehicle 400 is located to the battery charging point. can do.

On the other hand, when the distance interval shown in the power saving prediction information 423b is shorter than the distance interval shown in the distance information 310 , the step 638 of outputting the path to the battery charging point is the point at which the electric vehicle 400 is located. It is possible to output the path from to the battery charging point.

Although the above has been described with reference to the embodiments, those skilled in the art will understand that various modifications and changes can be made to the present invention without departing from the spirit and scope of the present invention as set forth in the following claims. will be able

1: Driving distance prediction system
100: satellite device
200: charging device
300: server device
400: electric vehicle
310: distance information
423a: General Forecast Information
423b: Power Saving Prediction Information

Claims (12)

In a method for predicting a drivable distance according to a driving mode of an electric vehicle,
determining the state of charge of the electric vehicle battery;
collecting distance information on a route from a point where the electric vehicle is located to a preset arrival point and congestion information indicating a congestion state according to the speed of any vehicle passing the route;
calculating, based on the average power consumption according to the driving mode of the electric vehicle, prediction information indicating the driving distance according to the charging state and the congestion information for the route, and comparing the distance information with the prediction information; and
and outputting the prediction information.
The method of claim 1, wherein comparing the distance information with the prediction information comprises:
Based on the average power consumption of the electric vehicle in which the driving mode is set to the normal mode, general prediction information indicating the drivable distance according to the congestion information for the route and the charging state is calculated, and the distance information and the general prediction information Further comprising the step of comparing the drivable distance prediction method.
The method of claim 2, wherein the comparing of the distance information with the prediction information comprises:
When the general prediction information is shorter than the distance information, based on the average power consumption of the electric vehicle in which the driving mode is set to the power saving mode, power saving prediction information indicating the drivable distance according to the charging state and the congestion information for the route , and comparing the distance information with the power saving prediction information.
The method of claim 3, wherein the outputting of the prediction information comprises:
When the power saving prediction information is shorter than the distance information, outputting a path from a point where the electric vehicle is located to a battery charging point adjacent to the point where the electric vehicle is located Way.
The method of claim 3, wherein the outputting of the prediction information comprises:
outputting the power saving prediction information when the power saving prediction information is longer than the distance information; and
and outputting a control request to a control input for changing the driving mode of the electric vehicle to the power saving mode.
The method of claim 5, wherein the outputting of the prediction information comprises:
When a control input for maintaining the driving mode of the electric vehicle is received from the outside according to the control request, the path from the point where the electric vehicle is located to the battery charging point adjacent to the point where the electric vehicle is located is output Further comprising the step of, drivable distance prediction method.
a state estimator for determining a state of charge of an electric vehicle battery;
an information collecting unit that collects distance information on a route from a point where the electric vehicle is located to a preset arrival point and congestion information indicating a congestion state according to a speed of an arbitrary vehicle passing the route;
a control unit configured to calculate prediction information indicating a drivable distance according to the charging state and the congestion information on the route based on the average power consumption according to the driving mode of the electric vehicle, and compare the distance information with the prediction information; and
and an output unit for outputting the prediction information.
According to claim 7, wherein the control unit,
Based on the average power consumption of the electric vehicle in which the driving mode is set to the normal mode, general prediction information indicating the drivable distance according to the congestion information for the route and the charging state is calculated, and the distance information and the general prediction information Comparing the drivable distance prediction device.
According to claim 8, wherein the control unit,
When the general prediction information is shorter than the distance information, based on the average power consumption of the electric vehicle in which the driving mode is set to the power saving mode, power saving prediction information indicating the drivable distance according to the charging state and the congestion information for the route , and comparing the distance information with the power saving prediction information.
The method of claim 9, wherein the output unit,
If the power saving prediction information is shorter than the distance information, outputting a path from a point where the electric vehicle is located to a battery charging point adjacent to the point where the electric vehicle is located.
The method of claim 9, wherein the output unit,
If the power saving prediction information is longer than the distance information, outputting the power saving prediction information and outputting a control request for a control input for changing the driving mode of the electric vehicle to the power saving mode.
The method of claim 11, wherein the output unit,
When a control input for maintaining the driving mode of the electric vehicle is received from the outside according to the control request, the path from the point where the electric vehicle is located to the battery charging point adjacent to the point where the electric vehicle is located is output , a driving distance prediction device.

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