KR102491571B1 - Apparatus and method for predicting driving distance according to driving mode of electric vehicle - Google Patents

Abstract

Determine the state of charge of the battery, collect congestion information indicating the congestion state according to the distance to the destination and the speed of any car passing through the route, and based on the average power consumption according to the driving mode, congestion information and charging Provided is a drivable distance predicting method of calculating predicted information indicating a drivable distance according to conditions, comparing the distance information with the predicted information, and outputting the predicted information.

Description

Apparatus and method for predicting driving range 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 a drivable distance predicting apparatus 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 that moves by rolling wheels with an electric motor, and is distinguished from a general vehicle in which a mixture of air and fossil fuel such as gasoline, diesel, and natural gas is exploded in an internal combustion engine to operate pistons.

On the other hand, electric vehicles are also divided into electric vehicles (EV) capable of long-distance high-speed driving on highways and electric vehicles (NEV: Neighborhood Electric Vehicles) capable of low-speed driving in the city. Electricity may use a solar cell or a storage battery that can be charged, but most electric vehicles receive electricity from the storage battery.

Accordingly, in order to prevent electric vehicles from being discharged while driving, a method of predicting a driving distance based on a current battery charge state is required.

(Korea) Patent Publication No. 10-2013-0047595

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

One aspect of the present invention is a method for predicting a driving distance according to a driving mode of an electric vehicle, comprising: determining a state of charge of an electric vehicle battery; collecting distance information on a route from a starting point where the electric vehicle is located to a previously set arrival point and congestion information representing a congestion state according to the speed of any vehicle passing through the route; Calculating prediction information representing a drivable distance according to the congestion information and the state of charge of the route based on the average power consumption according to the driving mode of the electric vehicle, and comparing the distance information with the prediction information; and outputting the prediction information, wherein the determining of the state of charge includes the electric vehicle battery indicating a ratio of electric capacity charged in the battery to a maximum electric capacity that can be charged in the electric vehicle battery. Determining the state of charge, and calculating the prediction information calculates a time interval required for the state of charge to reach a pre-set charging range according to the average power consumption according to the driving mode of the electric vehicle, and the calculation The predicted information is calculated by calculating a distance that the electric vehicle can move from the speed of the electric vehicle according to the congestion information during the specified time interval, and the preset charging range is determined when the predicted information is not calculated or , A range set in advance to compensate for errors occurring in the process of calculating the prediction information, and the driving mode includes headlights, air conditioners, east wind seats, heat and instrument panel LEDs provided in the electric vehicle. It is for determining the operating state of different devices, and includes a normal mode and a power saving mode. When the driving mode is set to the normal mode, electric energy is applied to the different devices, and the driving mode is the power saving mode. If set, electrical energy applied to at least one previously set device among the different devices is cut off so that less electrical energy than the electrical energy consumed in the normal mode is applied, and the prediction information corresponds to the electricity set in the normal mode. When the drivable distance based on the average power consumption of the vehicle and general prediction information indicating the congestion information, and the drivable distance from the general predictive information are shorter than the distance interval indicated by the distance information, electricity set to the power save mode and power saving prediction information indicating the driving distance based on average power consumption of the vehicle and the congestion information, and if the driving distance from the power saving prediction information is longer than a distance interval indicated by the distance information, the A control request for requesting a change from the driving mode to the power saving mode is output, and when a control input for changing the driving mode to the power saving mode is received from the user in response to the control request, the power saving prediction information is output, and the control request In response to receiving a control input for maintaining the driving mode from the user, the path to the battery charging point is output, and if the driving distance from the power saving prediction information is shorter than the distance interval indicated in the distance information, the current location of the electric vehicle The starting point is set as a starting point, and an available battery charging point is set as the destination point according to available information on the battery charging point to change route information, and the available battery charging point is determined from the starting point to the arrival point. The battery charging point having the charging device in which the sum of the time interval according to route information to the point and the expected charge completion time of the charging device present at the battery charging point is the shortest time interval, and The available information includes a state in which each of the plurality of charging devices present in the battery charging point is connected to the electric vehicle and charges the electric vehicle, a state in which the charging device is unavailable due to a failure of the charging device, and the charging device Indicates any one of the available states.

Another aspect of the present invention, the state estimation unit for determining the state of charge of the battery of the electric vehicle; an information collection unit that collects distance information on a route from a starting point where the electric vehicle is located to a pre-set arrival point and congestion information representing a congestion state according to the speed of any vehicle passing through the route; a control unit that calculates prediction information indicating a driving distance according to the charging state and the congestion information for the route based on the average power consumption according to the driving mode of the electric vehicle, and compares the distance information with the prediction information; and an output unit outputting the prediction information, wherein the state estimation unit determines the state of charge representing a ratio of electric capacity charged in the battery to a maximum value of electric capacity that can be charged in the electric vehicle battery. The controller calculates the prediction information by calculating a time interval required for the charging state to reach a pre-set charging range according to the average power consumption according to the driving mode of the electric vehicle, and calculating the predicted information. The prediction information is calculated by calculating the distance that the electric vehicle can move from the speed of the electric vehicle according to the congestion information during the time interval, and the prediction information is not calculated in the preset charging range, It is a range set in advance to compensate for an error occurring in the process of calculating the prediction information, and the driving mode includes each other including headlights, air conditioners, east wind seats, heat and instrument panel LEDs provided in the electric vehicle. It is for determining an operating state of another device, and includes a normal mode and a power saving mode, wherein the control unit applies electric energy to the different devices when the driving mode is set to the normal mode, and the driving mode is set to the normal mode. When the power saving mode is set, electrical energy applied to at least one preset device among the different devices is cut off to apply less energy than the electrical energy consumed in the normal mode, and the prediction information is transmitted to the normal mode. When the drivable distance based on the set average power consumption of the electric vehicle and general prediction information indicating the congestion information and the drivable distance from the general predictive information are shorter than the distance interval indicated by the distance information, the power saving mode is entered. and power saving prediction information indicating the driving distance based on the set average power consumption of the electric vehicle and the congestion information, wherein the control unit determines that the driving distance from the power saving prediction information appears in the distance information. is longer than the distance interval, outputs a control request for requesting a change from the driving mode to the power saving mode, and outputs the power saving prediction information upon receiving a control input from the user to change the driving mode to the power saving mode in response to the control request. and outputs a route to a charging point upon receipt of a control input for maintaining a driving mode from a user in response to the control request, and if the driving distance from the power saving prediction information is shorter than a distance interval indicated in the distance information, the electricity A point where the vehicle is currently located is set as a starting point, and an available battery charging point according to available information on the battery charging point is set as the arrival point to change route information, and the available battery charging point is the starting point. The battery charging point having the charging device in which the sum of a time interval according to route information from a point to the arrival point and an expected charge completion time of a charging device present at the battery charging point is the shortest time interval, The available information of the battery charging point includes a state in which each of a plurality of charging devices existing at the battery charging point is connected to the electric vehicle and charging the electric vehicle, and a state in which the charging device is unavailable due to a failure of the charging device. and a state in which the charging device can be used.

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

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

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The detailed description of the present invention which follows refers to the accompanying drawings which illustrate, by way of illustration, specific embodiments in which the present invention may be practiced. These embodiments are described in sufficient detail to enable one skilled in the art to practice the present invention. It should be understood that the various embodiments of the present invention are different from each other but are not necessarily mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in another embodiment without departing from the spirit and scope of the invention in connection with one embodiment. Additionally, 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 invention. Accordingly, the detailed description set forth below is not to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all equivalents as claimed by those claims. Like reference numbers in the drawings indicate the same or similar function 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 driving distance predicting system including a driving distance predicting device according to an embodiment of the present invention.

The driving 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 can 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 can be transmitted to the server device 300.

In this way, the satellite device 100 may determine the position of an arbitrary device to which the satellite navigation system is applied using a global positioning system (GPS) or the like.

On the other hand, determining the position of the electric vehicle 400 or the charging device 200 in the satellite device 100 can of course use a previously known technology, and in this regard, the satellite device 100 is a GPS , GNSS (Global Navigation Satellite System) and the like can perform operations.

The charging device 200 may charge the battery 410 provided in the electric vehicle 400, and for this purpose, the charging device 200 may have 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 known technology, and thus, the charging device 200 may charge the electric vehicle 400 The state of charge of the battery 410 provided in may be changed.

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

At this time, the charging device 200 may mean a plurality of charging devices 200 provided in an arbitrary charging point, and 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 and charges the electric vehicle, and a state in which the charging device 200 is unavailable due to a failure of 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 state of the plurality of charging devices 200 includes the charging state of the electric vehicle 400 connected to the charging device 200 and the electric vehicle 400 connected to the charging device 200. The available information may further include a charging start time when charging is started, a charging start time of the electric vehicle 400, and a charging completion time expected according to the charging state.

As such, a system including the charging device 200 and a plurality of charging devices 200 can use a known technology, of course.

The server device 300 may be connected to an external network by wire or wirelessly to collect map information. At this time, the map information may include road information existing within a pre-set regional range and an arbitrary point located on the map. It may include address information indicating an address for

At this time, the server device 300 may set a point on the road close 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 destination location. can be set as the destination point.

Accordingly, the server device 300 may generate route information representing a route from a departure point to an arrival point, and at this time, the route information may refer to information appearing on a road along which a vehicle may travel.

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 through each road in the route information, and when the server device 300 generates the route information, information can be applied. Accordingly, the route information may indicate a path with the shortest elapsed time from the departure point to the arrival point according to the distance information of the road and the traveling speed of the vehicle on the road connecting the departure point and the arrival point.

On the other hand, the server device 300 may set a charging point where the charging device 200 is located as an arrival point. may indicate a charging point where the available charging device 200 exists, and may be a charging point in which the elapsed time from the departure point to the destination point appears as the shortest path among charging points where available charging devices 200 exist.

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 starting point to an ending point set from the outside. (Navigation) system.

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

The electric vehicle 400 operates an electric motor using electric energy stored in the battery 410 and rolls wheels according to the operation of the electric motor, thereby generating movement capability. 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 is known that the electric vehicle 400 of FIG. 1 includes a battery 410 and a driving distance predicting device 420, which can be understood as being briefly shown to aid understanding of the present invention, the present invention It should be understood that it is not limited by these examples.

The drivable distance prediction device 420 may determine the state of charge of the battery 410 . At this time, the state of charge of the battery 410 may represent the ratio of the electrical capacity charged in the battery 410 to the maximum value of the electrical capacity that can be charged in the battery 410. The state of charge may be indicated by measuring the state of charge (SoC), voltage, and current of the battery 410, and measuring the state of charge of the battery 410 may be easily performed by a person skilled in the art. omit it.

The drivable distance predicting device 420 provides 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 an arbitrary vehicle passing through the route. can be collected

Here, it can be understood that the drivable distance predicting device 420 sets the point where the electric vehicle 400 is located as a starting point, and at this time, the drivable distance predicting device 420 transmits data from the satellite device 100. The location of the received electric vehicle 400 may be transmitted to the server device 300 to be set as a starting point.

In this regard, the drivable distance predicting 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. In this case, the server device 300 may A point where the electric vehicle 400 is located may be received from the satellite device 100 and set as a starting point.

Also, the drivable distance predicting device 420 may receive an arrival point from the outside, and at this time, the arrival point may be input in the form of address information indicating an arbitrary point on a map.

Accordingly, the drivable distance prediction device 420 may transmit the arrival point to the server device 300, and at this time, the server device 300 may generate route information from the departure 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 predicting device 420 .

The drivable distance predicting device 420 is based on the average power consumption according to the driving mode of the electric vehicle 400, and the drivable distance according to the charging state of the battery 410 of the electric vehicle 400 and congestion information on route information. It is possible to calculate prediction information indicating , and the drivable distance prediction device 420 can compare distance information according to route information with prediction information.

In this case, the driving mode may determine the operating states of different devices provided in the electric vehicle 400. For example, when the driving mode is a normal mode, the electric vehicle 400 is the electric vehicle 400 Electric energy can be supplied to most of the devices included in the battery, and thus, the electric energy consumed by the battery 410 can be represented as the sum of power consumption of different devices operating in a normal mode.

Meanwhile, when the driving mode is the power saving mode, the electric vehicle 400 may block electric energy applied to at least one preset device among different devices provided in the electric vehicle 400, and accordingly , Electric energy consumed by the battery 410 may be consumed less than in the normal mode.

At this time, the device for which electrical energy is cut off in the power saving mode may include electric devices such as headlights, air conditioners, ventilated seats, heaters, and instrument panel LEDs, and the electric vehicle 400 lowers the output illumination of the LEDs in the power saving mode or , it is possible to perform control such as controlling the shift ratio or limiting the maximum speed.

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 electric energy to at least one or more devices compared to the 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 experimental values of power consumption repeatedly measured in the same mode. may be provided by the manufacturer of the electric vehicle 400 or the like.

The drivable distance predicting device 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 state of charge of the electric vehicle 400 .

At this time, the drivable distance predicting device 420 may calculate general prediction information representing 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 predicting device 420 may drive the driving distance. Power saving prediction information indicating a driving distance according to average power consumption of an electric vehicle in which the mode is set to the power saving mode may be calculated.

Meanwhile, the drivable distance predicting device 420 may calculate the time interval required for the charging state to reach a charging range in which the charging state is set in advance according to the average power consumption, and the drivable distance predicting device 420 may calculate the time interval during the calculated time interval. Prediction information may be generated by calculating a travel distance of the electric vehicle 400 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 set to compensate for an error occurring in the prediction process. For example, the preset charging range is set to 10%. In this case, when calculating the time interval according to the average power consumption, the drivable distance predicting device 420 may exclude 10% of the state of charge of the battery 410.

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

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

Accordingly, the drivable distance predicting device 420 may control to output general prediction information when the distance interval indicated by the general prediction information is longer than the distance interval indicated by the distance information.

Meanwhile, when the distance interval indicated by the general prediction information is shorter than the distance interval indicated by the distance information, the drivable distance predicting device 420 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 a driving distance according to the charging state may be calculated, and the driving distance predicting device 420 may compare the distance information appearing in the route information with the power saving prediction information.

Accordingly, when the distance interval indicated by the power saving prediction information is longer than the distance interval indicated by the distance information, the drivable distance predicting device 420 outputs power saving prediction information and sets the driving mode of the electric vehicle 400 to the power saving mode. A control request for a control input to be changed can be output.

At this time, 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 predicting 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 predicting device 420 calculates a path from a point where the electric vehicle 400 is located to a battery charging point. output can be controlled.

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

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

At this time, the server device 300 may set an available battery charging point as an arrival point according to available information on the battery charging point, where the available battery charging point is a time according to route information from the departure point to the arrival point. It may be a charging point having the charging device 200 where the sum of the interval and the estimated charging completion time of the charging device 200 appears as the shortest time interval.

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

Meanwhile, the driving distance prediction system 1 may be implemented with more components than those shown in FIG. 1 or 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 predictor 420 into one component.

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

The drivable distance prediction device 420 may include a state estimation unit 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 electric capacity charged in the battery 410 to a maximum value of electric capacity capable of being charged in the battery 410 .

The information collection unit 422 may collect distance information on a route from a point where the electric vehicle 400 is located to a predetermined arrival point and congestion information representing a congestion state according to the speed of an arbitrary vehicle passing through the route. can

At this time, the information collection unit 422 may further include an input unit 422a, a communication unit 422b, and a storage unit 422c, and thus, the communication unit 422b is able to transmit data from the satellite device 100 to the electric vehicle 400. Upon receiving the location of the , 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 input of an arrival point from the outside, and in this case, the arrival point may be input in the form of address information representing an arbitrary point on a map.

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

The control unit 423 is based on the average amount of power consumption according to the driving mode of the electric vehicle 400, congestion information for the route information and prediction information indicating a drivable distance according to the state of charge of the battery 410 of the electric vehicle 400. can be calculated, and the control unit 423 can compare distance information and prediction information according to route information.

At this time, the driving mode may determine operating states of different devices provided in the electric vehicle 400, and at this time, 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 state of charge of the electric vehicle 400.

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

Meanwhile, the controller 423 may calculate the time interval required for the charging state to reach a charging range in which the state of charge is set in advance according to the average power consumption, and the controller 423 may calculate the speed of the vehicle according to 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 distance information from the departure point to the destination point indicated in the route information with prediction information, and determine information output to the user according to the comparison result.

For example, the control unit 423 calculates congestion information for route information and general prediction information indicating a drivable distance according to the charging state based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the normal mode. Accordingly, it is possible to compare distance information appearing in route information with general prediction information.

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

Meanwhile, when the distance interval indicated by the general prediction information is shorter than the distance interval indicated by the distance information, the control unit 423 determines 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. Power saving prediction information indicating a driving distance according to congestion information and a state of charge may be calculated, and the controller 423 may compare distance information indicated in the route information with power saving prediction information.

Accordingly, the control unit 423 outputs the power saving prediction information when the distance interval indicated by the power saving prediction information is longer than the distance interval indicated by the distance information, and inputs a control input for changing the driving mode of the electric vehicle 400 to the power saving mode. It can be controlled to output a control request for.

At this time, 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 receives a control input from the user to change the driving mode to the power saving mode or the driving mode. A control input for maintaining the mode may 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 a route from the point where the electric vehicle 400 is located to the battery charging point. can be controlled to output.

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 it 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. A command may be transmitted to ) 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 the server device 300 to set the charging point as the destination point.

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

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

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

The output unit 424 may output general prediction information when the distance interval indicated by the general prediction information is longer than the distance interval indicated by the distance information.

The output unit 424 may output the power saving prediction information when the distance interval indicated by the power saving prediction information is longer than the distance interval indicated by the distance information. At this time, the output unit 424 outputs the driving mode of the electric vehicle 400. It is possible to output a control request for a control input that changes the to power saving mode.

The output unit 424 outputs a path from a point where the electric vehicle 400 is located to a battery charging point when the input unit 422a receives a control input for maintaining the driving mode of the electric vehicle 400 from the user. 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 indicated by the power saving prediction information is shorter than the distance interval indicated by the distance information.

To this end, the output unit 424 may include devices 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 possible driving distance by an apparatus for predicting a possible driving distance according to an embodiment of the present invention.

Referring to FIG. 3 , the state estimation unit 421 may determine the state of charge of the battery 410, and the communication unit 422b of the information collection unit 422 may preliminarily determine the location of the electric vehicle 400. It is possible to collect distance information about a route to a set arrival 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 as a starting point, or Alternatively, the communication unit 422b may transmit a command to the server device 300 to set the point where the electric vehicle 400 is located as a starting point. In this case, the server device 300 may transmit a command to the satellite device 100 A point where the electric vehicle 400 is located may be collected from and set as a starting point.

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

At this time, the server device 300 may generate route information from the departure point to the destination 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 received 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 estimation unit 421, the input unit 422a, and the communication unit 422b.

Accordingly, the control unit 423 calculates the driving distance according to the state of charge of the battery 410 of the electric vehicle 400 and traffic congestion information for the route information based on the average power consumption according to the driving mode of the electric vehicle 400. The indicated prediction information may be calculated, and the control unit 423 may compare distance information and prediction information according to route information.

In this case, the control unit 423 may calculate congestion information for route information and general prediction information indicating a drivable distance according to the charging state based on the average power consumption of the electric vehicle 400 in which the driving mode is set to the normal mode. Accordingly, it is possible to compare distance information appearing in route information with general prediction information.

Accordingly, the control unit 423 may control to output general prediction information when the distance interval indicated by the general prediction information is longer than the distance interval indicated by the distance information. At this time, the output unit 424 outputs the general prediction information. can be printed out.

Meanwhile, when the distance interval indicated by the general prediction information is shorter than the distance interval indicated by the distance information, the control unit 423 determines 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. Power saving prediction information indicating a driving distance according to congestion information and a state of charge may be calculated, and the controller 423 may compare distance information indicated in the route information with power saving prediction information.

Accordingly, the control unit 423 outputs the power saving prediction information when the distance interval indicated by the power saving prediction information is longer than the distance interval indicated by the distance information, and inputs a control input for changing the driving mode of the electric vehicle 400 to the power saving mode. It can be controlled to output a control request for. At this time, the output unit 424 may output power saving prediction information and output a control request, and the input unit 422a may input 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 a control input for maintaining the driving mode of the electric vehicle 400 is received from the user through the input unit 422a, the control unit 423 outputs a path from a point where the electric vehicle 400 is located to a battery charging point. In this case, the output unit 424 may output a path from a point where the electric vehicle 400 is located to a battery charging point.

The control unit 423 may control to output a path from a point where the electric vehicle 400 is located to a battery charging point when the distance interval indicated from the power saving prediction information is shorter than the distance interval indicated from 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 controller of FIG. 2 .

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

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

In this case, the driving distance predictor 420 may output general prediction information.

Referring to FIGS. 5 and 6 , it can be confirmed that the distance interval indicated by the general prediction information 423a is shorter than the distance interval indicated by the distance information 310 .

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

Accordingly, when the distance interval indicated by the power saving prediction information 423b is longer than the distance interval indicated by the distance information 310, as shown in FIG. Also, the drivable distance estimation apparatus 420 may output a control request requesting a control input 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 predicting device 420 calculates a path from a point where the electric vehicle 400 is located to a battery charging point. can be printed out.

Meanwhile, as shown in FIG. 6 , when the distance interval indicated by the power saving prediction information 423b is shorter than the distance interval indicated by the distance information 310, the drivable distance prediction device 420 determines the point where the electric vehicle 400 is located. The route from to the battery charging point can be output.

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

Since the drivable distance prediction method according to an embodiment of the present invention proceeds on substantially the same configuration as the drivable distance predictor 420 shown in FIG. 1 , the same configuration as the drivable distance predictor 420 of FIG. 1 Elements are given the same reference numerals, and repeated descriptions will be omitted.

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

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

Comparing distance information and prediction information (610) includes distance information on a route from a point where the electric vehicle 400 is located to a preset arrival point and a congestion state according to the speed of an arbitrary vehicle passing through the route. identity information can be collected.

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

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

Accordingly, in step 610 of comparing distance information and prediction information, the arrival point may be transmitted to the server device 300, and at this time, 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 corresponding route information may be received from the server device 300 .

Comparing the distance information with the prediction information (620) is based on the average power consumption according to the driving mode of the electric vehicle 400, the congestion information for the route information and the state of charge of the battery 410 of the electric vehicle 400. In the step 620 of comparing the distance information and the prediction information, the distance information according to the path information and the prediction information may be compared.

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

Accordingly, in the step of comparing the distance information and the prediction information (620), when the distance interval indicated by the general prediction information 423a is longer than the distance interval indicated by the distance information 310, the general prediction information 423a is output. You can control it.

Meanwhile, in the step of comparing the distance information and the prediction information (620), when the distance interval indicated by the general prediction information 423a is shorter than the distance interval indicated by the distance information 310, the electric vehicle whose driving mode is set to the power saving mode ( Based on the average power consumption in step 400), it is possible to calculate power saving prediction information 423b representing the driving distance according to the congestion information and charging state of the path information, and comparing the distance information with the prediction information (620) may compare the distance information 310 appearing in the path information with the power saving prediction information 423b.

Accordingly, in step 620 of comparing the distance information and prediction information, when the distance interval indicated by the power saving prediction information 423b is longer than the distance interval indicated by the distance information 310, the power saving prediction information 423b is output, , 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 step 620 of comparing the distance information and prediction information, when a control input for maintaining the driving mode of the electric vehicle 400 is received from the user, the battery charging point from the point where the electric vehicle 400 is located. It can be controlled to output the path to.

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

The step 630 of outputting prediction information may output prediction information.

In the step 630 of outputting the prediction information, when the distance interval indicated by the general prediction information 423a is longer than the distance interval indicated by the distance information 310, the general prediction information 423a may be output.

In step 630 of outputting the prediction information, when the distance interval indicated by the power saving prediction information 423b is longer than the distance interval indicated by the distance information 310, the power saving prediction information 423b may be output. In step 630 of outputting 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 prediction information, when a control input for maintaining the driving mode of the electric vehicle 400 is received from the user, a path from a point where the electric vehicle 400 is located to a battery charging point is output. can

In step 630 of outputting the prediction information, when the distance interval indicated by the power saving prediction information 423b is shorter than the distance interval indicated by the distance information 310, the distance 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 comparing distance information and prediction information of FIG. 7 .

Referring to FIG. 8, in 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, congestion information for route information and charging status An operation 621 of calculating general prediction information representing a possible driving distance may be further included.

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

Meanwhile, when the distance interval indicated by the general prediction information 423a is shorter than the distance interval indicated by the distance information 310, the step 626 of calculating the power saving prediction information includes 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 congestion information for path information and power saving prediction information 423b indicating a driving distance according to the state of charge.

Referring to FIG. 9 , in 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 charging status An operation 626 of calculating power saving prediction information indicating a possible driving distance may be further included.

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

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

Meanwhile, when the distance interval indicated by the power saving prediction information 423b is shorter than the distance interval indicated by the distance information 310, the step 638 of outputting a route to the battery charging point is the point where the electric vehicle 400 is located. The path from to the battery charging point can be output.

Although the above has been described with reference to embodiments, it will be understood that those skilled in the art can variously modify and change the present invention without departing from the spirit and scope of the present invention described in the claims below. You will be able to.

1: Drivable Distance Prediction System
100: satellite device
200: charging device
300: server device
400: electric car
310: distance information
423a: General prediction information
423b: power saving prediction information

Claims (2)

In the method for predicting the driving distance according to the driving mode of an electric vehicle,
Determining the state of charge of the electric vehicle battery;
collecting distance information on a route from a starting point where the electric vehicle is located to a previously set arrival point and congestion information representing a congestion state according to the speed of any vehicle passing through the route;
Calculating prediction information representing a drivable distance according to the congestion information and the state of charge of the route based on the average power consumption according to the driving mode of the electric vehicle, and comparing the distance information with the prediction information; and
Including the step of outputting the prediction information,
The step of determining the state of charge,
To determine the state of charge, which represents the ratio of the electrical capacity charged in the battery to the maximum value of the electrical capacity that can be charged in the electric vehicle battery;
Calculating the prediction information,
Calculate the time interval required for the charging state to reach a pre-set charging range according to the average power consumption according to the driving mode of the electric vehicle, and calculate the speed of the electric vehicle according to the congestion information during the calculated time interval. Calculating a distance that the electric vehicle can travel to calculate the prediction information,
The charging range set in advance is,
A range set in advance so that the prediction information is not calculated or an error occurring in the process of calculating the prediction information can be compensated for;
The driving mode is
It is for determining the operating state of different devices including headlights, air conditioners, east wind seats, heat and instrument panel LEDs provided in the electric vehicle, including a normal mode and a power saving mode,
When the driving mode is set to the normal mode, electric energy is applied to the different devices, and when the driving mode is set to the power saving mode, electric energy applied to at least one preset device among the different devices is applied. It is blocked so that less electrical energy than the electrical energy consumed in the normal mode is applied,
The prediction information,
general prediction information indicating the driving distance and the congestion information based on the average power consumption of the electric vehicle set to the normal mode;
When the drivable distance from the general prediction information is shorter than the distance interval indicated by the distance information, the drivable distance based on the average power consumption of the electric vehicle set to the power save mode and power saving prediction information indicating the congestion information are included. and
If the drivable distance from the power saving prediction information is longer than the distance interval indicated by the distance information, a control request for requesting a change from the driving mode to the power saving mode is output, and in response to the control request, a user issues a driving mode The power saving prediction information is output when a control input for changing the to a power saving mode is received, and a path to a battery charging point is output when a control input for maintaining a driving mode is received from a user in response to the control request.
If the drivable distance from the power saving prediction information is shorter than the distance interval indicated in the distance information, the current location of the electric vehicle is set as a starting point, and an available battery charging point is determined according to the available information on the battery charging point. Change the route information by setting it to the arrival point,
The available battery charging points are:
The battery charging point having the charging device in which the sum of the time interval according to the route information from the starting point to the ending point and the expected charging completion time of the charging device present at the battery charging point represents the shortest time interval, ,
The available information of the battery charging point is
A state in which each of a plurality of charging devices present at the battery charging point is connected to the electric vehicle and charges the electric vehicle, a state in which the charging device is unavailable due to a failure of the charging device, and a state in which the charging device can be used A method for predicting a drivable distance indicating any one of the states.
State estimation unit for determining the state of charge of the battery of the electric vehicle;
an information collection unit that collects distance information on a route from a starting point where the electric vehicle is located to a pre-set arrival point and congestion information representing a congestion state according to the speed of any vehicle passing through the route;
a control unit that calculates prediction information indicating a driving distance according to the charging state and the congestion information for the route based on the average power consumption according to the driving mode of the electric vehicle, and compares the distance information with the prediction information; and
An output unit for outputting the prediction information;
The state estimation unit,
To determine the state of charge, which represents the ratio of the electrical capacity charged in the battery to the maximum value of the electrical capacity that can be charged in the electric vehicle battery;
The control unit calculates the prediction information,
Calculate the time interval required for the charging state to reach a pre-set charging range according to the average power consumption according to the driving mode of the electric vehicle, and calculate the speed of the electric vehicle according to the congestion information during the calculated time interval. Calculating a distance that the electric vehicle can travel to calculate the prediction information,
The charging range set in advance is,
A range set in advance so that the prediction information is not calculated or an error occurring in the process of calculating the prediction information can be compensated for;
The driving mode is
It is for determining the operating state of different devices including headlights, air conditioners, east wind seats, heat and instrument panel LEDs provided in the electric vehicle, including a normal mode and a power saving mode,
The control unit,
When the driving mode is set to the normal mode, electric energy is applied to the different devices, and when the driving mode is set to the power saving mode, electric energy applied to at least one preset device among the different devices is applied. cut off to apply less energy than the electrical energy consumed in the normal mode;
The prediction information,
general prediction information indicating the driving distance and the congestion information based on the average power consumption of the electric vehicle set to the normal mode;
When the drivable distance from the general prediction information is shorter than the distance interval indicated by the distance information, the drivable distance based on the average power consumption of the electric vehicle set to the power save mode and power saving prediction information indicating the congestion information are included. do,
The control unit,
If the drivable distance from the power saving prediction information is longer than the distance interval indicated by the distance information, a control request for requesting a change from the driving mode to the power saving mode is output, and the driving mode is removed from the user in response to the control request. When a control input for changing to a power saving mode is received, the power saving prediction information is output, and when a control input for maintaining a driving mode is received from a user in response to the control request, a path to a battery charging point is output;
If the drivable distance from the power saving prediction information is shorter than the distance interval indicated in the distance information, the current location of the electric vehicle is set as a starting point, and an available battery charging point is determined according to the available information on the battery charging point. Change the route information by setting it as the arrival point,
The available battery charging points are:
The battery charging point having the charging device in which the sum of the time interval according to the route information from the starting point to the ending point and the expected charging completion time of the charging device present at the battery charging point represents the shortest time interval, ,
The available information of the battery charging point is
A state in which each of a plurality of charging devices present at the battery charging point is connected to the electric vehicle and charges the electric vehicle, a state in which the charging device is unavailable due to a failure of the charging device, and a state in which the charging device can be used A drivable distance predicting device indicating any one of the states.

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