KR20210155030A - Vehicle and control method of vehicle - Google Patents

Abstract

A control method of a vehicle according to one embodiment comprises the following steps of: calculating a driving route to a destination; predicting weather change on the driving route by obtaining weather information at a starting point and the destination from a server; obtaining at least one air conditioning data corresponding to the driving route and the predicted weather change from the server; calculating air conditioning electric power consumption required when driving along the driving route by using the at least one air conditioning data; and predicting a distance to empty of a battery for the driving route by reflecting the air conditioning electric power consumption. According to the present invention, the air conditioning electric power consumption and a possible driving distance can be accurately predicted when driving with an operating air conditioning device.

Description

Vehicle and vehicle control method {VEHICLE AND CONTROL METHOD OF VEHICLE}

The present invention relates to a vehicle and a vehicle control method capable of predicting a required amount of air conditioning power consumption and a drivable distance when driving while operating an air conditioner to a destination.

Electric vehicles have a limited range depending on the amount of power available in the battery. Therefore, it is important to provide the driver with an accurate driving range. However, since it is difficult to accurately predict the amount of power consumption for air conditioning due to the operation of the air conditioner, it is difficult to accurately predict the drivable distance.

In the prior art, after storing data on the amount of power consumption actually measured for each driving situation, the drivable distance is predicted using the data. However, since the amount of power consumption for air conditioning cannot be measured in advance in all driving situations, the accuracy of the drivable distance predicted during actual driving is lowered. In this case, information with a large error is given to the driver, and unexpected battery discharge may occur before reaching a desired destination. Therefore, when driving while operating the air conditioning system, a technology capable of accurately predicting the drivable distance is required.

The disclosed invention provides a vehicle and a vehicle control method capable of accurately predicting a required amount of air conditioning power consumption and a drivable distance when driving while operating an air conditioner to a destination.

The disclosed invention provides a vehicle and a vehicle control method that can obtain air conditioning data used in the same environment as a driving route to a destination and the weather of the driving route from a server, and accurately predict the amount of air conditioning power consumption by using the acquired air conditioning data do.

A method for controlling a vehicle according to an embodiment includes calculating a driving route to a destination; predicting a change in weather for the driving route by acquiring the departure weather information and the destination weather information from the server; acquiring at least one air conditioning data corresponding to the driving route and the predicted weather change from the server; calculating an air conditioning power consumption required when driving on the driving route by using the at least one air conditioning data; and predicting a drivable distance (DTE) of the battery for the driving route by reflecting the air conditioning power consumption.

Acquiring the at least one air conditioning data may include, among a plurality of air conditioning data stored in the server, the at least one air conditioning data including route data corresponding to the driving route and weather change data identical to the predicted weather change. Extraction; may include.

The extracting of the at least one air conditioning data may include extracting the route data based on a ratio for each road type included in the driving route.

The method for controlling a vehicle according to an embodiment further includes measuring an indoor temperature at a departure point using a sensor, and extracting the at least one air conditioning data may include indoor temperature data identical to the measured indoor temperature. It may further include; extracting the at least one air conditioning data comprising a.

The extracting of the at least one air conditioning data may further include extracting the at least one air conditioning data including set temperature data identical to a set temperature input by a user.

The extracting of the at least one air conditioning data may include filtering abnormal data among the at least one air conditioning data based on an average value and a standard deviation of at least one amount of power consumption included in the at least one air conditioning data; may include more.

The filtering of the abnormal data may include, when the standard deviation exceeds a predetermined reference value, filtering the abnormal data that is outside a predetermined error range from the average value among the at least one air conditioning data; .

The calculating of the air conditioning power consumption may include calculating an average value of the at least one power consumption amount included in the at least one air conditioning data filtered by the abnormal data as the air conditioning power consumption amount.

Predicting the drivable distance of the battery may include calculating an air conditioning reflected fuel efficiency based on a reference fuel efficiency and the air conditioning power consumption; and calculating a value obtained by multiplying the current available power amount of the battery by the air conditioning reflected fuel efficiency as the drivable distance of the battery.

The predicting of the weather change may include predicting an external temperature change and a solar radiation change based on the departure weather information and the destination weather information.

A vehicle according to an embodiment includes a battery; a communication unit that communicates with the server; an AVN device that receives a destination input from a user and calculates a driving route to the destination; an air conditioner for flowing air in the vehicle; and obtaining the departure weather information and the destination weather information from the server to predict the weather change for the driving route, and at least one air conditioning data corresponding to the driving route and the predicted weather change from the server. obtained, calculating the amount of air conditioning power consumption required when driving along the driving route using the at least one air conditioning data, and reflecting the air conditioning power consumption to reflect the driving distance (DTE, Distance To Empty) of the battery for the driving route ) for predicting the control unit; may include.

The controller may extract the at least one air conditioning data including route data corresponding to the driving route and weather change data identical to the predicted weather change from among the plurality of air conditioning data stored in the server.

The controller may extract the route data based on a ratio for each road type included in the driving route.

The vehicle according to an embodiment further includes a sensor for measuring an indoor temperature of the vehicle, wherein the control unit obtains an indoor temperature measured at a departure point, and includes at least indoor temperature data identical to the measured indoor temperature. One air conditioning data can be extracted.

The control unit may extract the at least one air conditioning data including the same set temperature data as the set temperature input by the user.

The control unit may filter the abnormal data among the at least one air conditioning data based on an average value and a standard deviation of at least one amount of power consumption included in the at least one air conditioning data.

When the standard deviation exceeds a predetermined reference value, the controller may filter the abnormal data that is outside a predetermined error range from the average value among the at least one air conditioning data.

The control unit may calculate an average value of the at least one power consumption included in the at least one air conditioning data from which the abnormal data is filtered as the air conditioning power consumption.

The control unit may calculate an air conditioning reflected fuel efficiency based on a reference fuel efficiency and the air conditioning power consumption, and calculate a value obtained by multiplying the current available electric power of the battery by the air conditioning reflected fuel efficiency as the driving range of the battery.

The controller may predict a change in external temperature and a change in solar radiation based on the departure weather information and the destination weather information.

The disclosed vehicle and vehicle control method can accurately predict the required amount of air conditioning power consumption and drivable distance when driving to a destination while operating the air conditioning device.

In addition, the disclosed vehicle and vehicle control method may obtain air conditioning data used in the same environment as the driving route to the destination and the weather of the corresponding driving route from the server, and accurately predict the amount of air conditioning power consumption by using the obtained air conditioning data. .

1 is a control block diagram of a vehicle according to an exemplary embodiment.
2 is a flowchart illustrating a method of controlling a vehicle according to an exemplary embodiment.
3 is a flowchart illustrating a method of extracting air conditioning data among a vehicle control method according to an exemplary embodiment.
4 shows a screen of the AVN device that displays the estimated driving distance when the air conditioner is turned off.
5 shows a screen of the AVN device that displays the predicted drivable distance when driving with the air conditioner turned on.
6 shows a screen of the AVN device that displays the driving range according to the set temperature.

Like reference numerals refer to like elements throughout. This specification does not describe all elements of the embodiments, and general content in the technical field to which the present invention pertains or content that overlaps between the embodiments is omitted.

Throughout the specification, when a part is "connected" to another part, it includes not only direct connection but also indirect connection, and indirect connection includes connection through a wireless communication network. do.

In addition, when a part "includes" a certain component, this means that other components may be further included rather than excluding other components unless otherwise stated.

The singular expression includes the plural expression unless the context clearly dictates otherwise.

In addition, terms such as "~ part", "~ group", "~ block", "~ member", and "~ module" may mean a unit for processing at least one function or operation. For example, the terms may refer to at least one hardware such as a field-programmable gate array (FPGA) / application specific integrated circuit (ASIC), at least one software stored in a memory, or at least one process processed by a processor. have.

The signs attached to each step are used to identify each step, and these signs do not indicate the order between the steps, and each step is performed differently from the stated order unless the context clearly indicates a specific order. can be

Hereinafter, an embodiment of a vehicle and a control method thereof according to an aspect will be described in detail with reference to the accompanying drawings.

1 is a control block diagram of a vehicle according to an exemplary embodiment.

Referring to FIG. 1 , a vehicle 1 according to an exemplary embodiment may be an electric vehicle (EV). The vehicle 1 may include a motor 21 , a battery 23 , a communication unit 110 , an AVN device 120 , a sensor 130 , an air conditioner 140 , and a control unit 200 . The controller 200 may include a motor control unit. Also, the controller 200 may be electrically connected to the components of the vehicle 1 and control each component of the vehicle 1 .

Various devices provided in the vehicle 1 may communicate with each other through the vehicle communication network NT. For example, the controller 200 may be connected to the controller of the air conditioner 140 through a controller area network (CAN) communication line. In addition to CAN, Ethernet, MOST (Media Oriented Systems Transport, MOST), Flexray, and LIN (Local Interconnect Network, LIN) may be used.

The motor 21 may generate a torque by a three-phase AC voltage applied from the battery 23 through an inverter, and transmit the torque to the wheels of the vehicle 1 to perform acceleration or deceleration. In addition, the motor 21 may provide regenerative energy to the battery 23 , and thus the battery 23 may be charged.

The battery 23 includes a plurality of unit cells, and may store energy (eg, a voltage of 400V to 450V DC) for driving the motor 21 . Also, the battery 23 may supply power required by various electronic devices of the vehicle 1 .

The communication unit 110 may be connected to the external server 2 through a network. The communication unit 110 may communicate with the server 2 using various communication methods. For example, the communication unit 110 5G (5 ^th Generation), LTE, LTE-A (LTE Advance), CDMA (Code Division Multiple Access), WCDMA (Wideband CDMA), (Universal Mobile Telecommunications System), UMTS, WiBro ( It is possible to communicate with the server 2 using a wireless communication technology such as wireless broadband) or GSM (Global System for Mobile communications).

The AVN device 120 may receive a user input and may output various information related to the function and state of the vehicle 1 . The AVN device 120 may include an input unit (not shown) and an output unit (not shown). The input unit of the AVN device 120 may be provided in a center fascia (not shown) installed in the center of the dashboard inside the vehicle 1 as a device for receiving a user's input. For example, the input unit may be implemented as a physical button, a knob, a touch pad, a touch screen, a stick-type manipulation device, or a track ball.

The output unit of the AVN device 120 is a device for outputting various types of information related to the function and state of the vehicle 1 , and may include a display of a cluster and a head unit. Also, the output unit may include a speaker outputting an audio signal.

The display of the AVN device 120 is a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display. (flexible display), a three-dimensional display (3D display), a transparent display, a head-up display (head-up display, HUD), etc. may be provided.

Meanwhile, the AVN device 120 may display the remaining amount of the battery 23 and the DTE (Distance To = Empty).

The sensor 130 may acquire various types of information about the vehicle 1 . The sensor 130 may measure at least one of an indoor temperature, an outdoor temperature, and solar radiation of the vehicle 1 . That is, the sensor 130 may include at least one of a temperature sensor and an insolation sensor.

In addition, the vehicle 1 includes a speed sensor for detecting the speed of a wheel, an acceleration sensor for detecting the acceleration of the vehicle, a yaw rate sensor for detecting a change in angular speed, a gyro sensor for detecting the inclination of the vehicle, and rotation and steering angle of the steering wheel A steering angle sensor that detects may include

The air conditioner 140 may flow air in the vehicle 1 . The air conditioner 140 may introduce external air into the vehicle 1 . The air conditioner 140 may control the indoor temperature of the vehicle 1 by supplying cold air or warmth to the inside of the vehicle 1 .

The controller 200 may include a memory 220 and a processor 210 that executes a program stored in the memory 220 in which a program, instructions, and/or applications related to the operation of the vehicle 1 are executed. The memory 220 and the processor 210 may be integrated into one chip. Also, the memory 220 and the processor 210 may be provided in physically separate locations. In addition, a plurality of each of the memory 220 and the processor 210 may be provided.

The memory 220 may include a non-volatile memory device such as a cache, a read only memory (ROM), a programmable ROM (PROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), and a flash memory. can In addition, the memory 220 may include a volatile memory device such as a random access memory (RAM), and may include a storage medium such as a hard disk drive (HDD) or CD-ROM. The type of the memory 220 is not limited to the exemplified one.

In addition, the vehicle 1 may include various devices. Hereinafter, the operation of the control unit 200 will be described in detail.

2 is a flowchart illustrating a method of controlling a vehicle according to an exemplary embodiment. 3 is a flowchart illustrating a method of extracting air conditioning data among a vehicle control method according to an exemplary embodiment.

Referring to FIG. 2 , the AVN device 120 of the vehicle 1 may receive a destination input from the user and calculate a driving route to the destination ( 301 ). A driving route may include a variety of road types. For example, the driving route may include a highway, a public road, and an urban road.

The AVN device 120 may calculate a ratio for each road type included in the driving route. For example, the ratio for each type of road included in the driving route may be calculated as 50% of a highway, 20% of a general road, and 30% of an urban road.

The control unit 200 of the vehicle 1 may control the communication unit 110 to obtain departure weather information and destination weather information from the server 2 ( 302 ). The departure location weather information may include an external temperature of the departure location and solar radiation at the departure location. The external temperature of the departure point and the amount of solar radiation at the departure point may be measured by the sensor 130 . The destination weather information may include an external temperature of the destination and solar radiation of the destination. In addition, the controller 200 of the vehicle 1 may acquire weather information on the driving route from the server 2 .

The controller 200 may predict a change in weather for the driving route ( 303 ). The controller 200 may predict a change in weather on the driving route based on the weather information obtained from the server 2 . The controller 200 may predict a change in external temperature and a change in insolation based on the departure weather information and the destination weather information.

The controller 200 may acquire at least one air conditioning data corresponding to the driving route and predicted weather change from the server 2 ( 304 ). The server 2 may include a plurality of air conditioning data. Each of the plurality of air conditioning data may include route data, weather change data, indoor temperature data, set temperature data, and power consumption data. The air conditioning data may include a driving time for a specific route, a driving speed, and an amount of power consumed by the air conditioning device while driving a specific route in a specific weather.

The server 2 may store previous driving data of the vehicle 1 and previous driving data of other vehicles, and the air conditioning data may be defined as included in the previous driving data.

The controller 200 may extract at least one air conditioning data including route data corresponding to the driving route and weather change data identical to the predicted weather change from among the plurality of air conditioning data stored in the server 2 .

Referring to FIG. 3 , the controller 200 may extract air conditioning data including route data corresponding to a driving route from among a plurality of air conditioning data stored in the server 2 ( 401 ). The controller 200 may extract route data based on a ratio for each road type included in the driving route. For example, the control unit 200 may extract air conditioning data including route data composed of 50% highway, 20% general road, and 30% city road in the same way as the driving route. When the same route data as the driving route is not found, the controller 200 may extract route data within a predetermined route error range.

Also, referring to FIG. 3 , the controller 200 may extract air conditioning data including the same weather change data as the predicted weather change from among a plurality of air conditioning data ( 402 ). For example, the controller 200 may extract weather change data based on a difference between the external temperature of the departure point and the external temperature of the destination. Also, the controller 200 may extract weather change data based on a difference between the insolation amount of the departure point and the insolation amount of the destination. When weather change data identical to the predicted weather change is not found, the controller 200 may extract weather change data within a predetermined weather error range.

Also, the controller 200 may acquire the indoor temperature of the vehicle 1 at the departure point by the sensor 130 and extract at least one air conditioning data including the same indoor temperature data as the measured indoor temperature (403) ). For example, when the indoor temperature measured at the departure point is 24° C., the controller 200 may extract air conditioning data having room temperature data of 24° C. at the departure point. When indoor temperature data identical to the measured indoor temperature is not found, the controller 200 may extract indoor temperature data within a predetermined indoor temperature error range.

In addition, the control unit 200 may extract at least one air conditioning data including the same set temperature data as the set temperature input by the user (404). For example, when the input set temperature is 20°C, the controller 200 may extract air conditioning data having set temperature data of 20°C. When the set temperature data identical to the input set temperature is not found, the controller 200 may extract set temperature data within a predetermined set temperature error range.

In this way, the disclosed invention can easily secure the sample data necessary for predicting the amount of power consumption for air conditioning and the driving distance for the driving route. The more such sample data, the more accurately the air conditioning power consumption and the drivable distance can be predicted.

In addition, the control unit 200 may filter the abnormal data among the at least one air conditioning data based on the average value and the standard deviation of at least one amount of power consumption included in the at least one air conditioning data ( 405 ). Specifically, when the standard deviation exceeds a predetermined reference value, the control unit 200 may filter the abnormal data that is outside the predetermined error range from the average value of the at least one air conditioning data.

For example, when five air conditioning data corresponding to a driving route and predicted weather change are extracted, five power consumption amounts may be obtained from the five air conditioning data. When the standard deviation of the five power consumption is 0.05 or less, all five air conditioning data may be determined as valid data. However, when the standard deviation is a value exceeding 0.05, the air conditioning data having an amount of power consumption exceeding a predetermined error range from the average value of the five amounts of power consumption may be determined as abnormal data.

In this way, by filtering the abnormal data, the error between the air conditioning power consumption and the drivable distance can be further reduced.

Referring back to FIG. 2 , the controller 200 may calculate the amount of power consumption for air conditioning required when driving along a driving route by using at least one extracted air conditioning data ( 305 ). Specifically, the controller 200 may calculate an average value of at least one amount of power consumption included in the at least one air conditioning data from which the abnormal data is filtered as the amount of air conditioning power consumption.

In addition, the control unit 200 may predict the drivable distance (DTE) of the battery 23 for the driving route by reflecting the amount of power consumption for air conditioning ( 306 ). Specifically, the control unit 200 calculates the air conditioning reflected fuel efficiency based on the reference fuel efficiency and the air conditioning power consumption, and multiplies the current available electric energy [kWh] of the battery 23 and the air conditioning reflected electric energy ratio [km/kWh] to the battery ( 23) can be calculated as the drivable distance [km].

The reference fuel efficiency [km/kWh] means the driving distance [km] compared to the available electric power [kWh] of the battery 23 in a state in which the air conditioner 140 is not operating. The air conditioning reflected fuel efficiency [km/kWh] refers to the driving distance [km] compared to the available electric energy [kWh] of the battery 23 in the state in which the air conditioning device 140 is operating.

The air conditioning reflection fuel efficiency can be calculated by Equation 1 below.

[Equation 1]

Air conditioning reflected fuel efficiency [km/kWh] = Standard fuel efficiency [km/kWh] - {Running speed [km/h]*Traveling time [h]/Air conditioning power consumption [kWh]}

Meanwhile, the air conditioning reflected fuel efficiency may be calculated by various methods.

Meanwhile, the required amount of power consumption for air conditioning may vary depending on the set temperature. For example, when the current indoor temperature is 24°C, the air conditioning power consumption when the set temperature is 20°C may be calculated as a value smaller than the air conditioning power consumption when the set temperature is 18°C.

4 shows a screen of the AVN device that displays the estimated driving distance when the air conditioner is turned off.

인 것 및 실내 온도가 24

인 것이 예시되어 있다. 공조 장치(140)가 꺼진 상태이므로, 설정 온도는 표시되지 않는다.Referring to FIG. 4 , in the AVN device 120 , in a state in which the air conditioner 140 is turned off, the remaining amount (or available electric power) 121 of the battery 23 , the driving distance 122 and the Operation information 123 may be displayed. In FIG. 4 , the remaining amount of the battery 23 is 41% and the driving distance is exemplified as 128 km. In addition, as operation information of the air conditioner 140 displayed by the AVN device 120 , the air conditioner 140 is turned off and the outdoor temperature is 24

and the room temperature is 24

is exemplified. Since the air conditioner 140 is turned off, the set temperature is not displayed.

5 shows a screen of the AVN device that displays the estimated driving distance when driving with the air conditioner turned on.

로 표시되는 것이 예시되어 있다.Referring to FIG. 5 , in the AVN device 120 , when the air conditioner 140 is turned on, the remaining amount (or available electric power) 121 of the battery 23 , the drivable distance 122 , and the The operation information 123 and the reduction information 124 of the drivable distance may be displayed. In FIG. 5 , the remaining amount of the battery 23 is 41% and the driving distance is exemplified as 110 km. In addition, as the reduction information 124 of the drivable distance, a text message such as “reducing the drivable distance by 18 km when the air conditioner is operated” may be displayed. When the drivable distance of FIG. 4 is compared with the drivable distance of FIG. 5 , it can be seen that the predicted drivable distance is reduced due to the operation of the air conditioner 140 . In addition, since the air conditioner 140 is turned on, the set temperature is 20

It is exemplified that it is indicated by .

6 shows a screen of the AVN device that displays the driving range according to the set temperature.

인 경우, 설정 온도가 24

일 때의 주행 가능 범위(601)는 설정 온도가 22

일 때의 주행 가능 범위(602)보다 넓게 표시될 수 있다. 설정 온도가 현재 실내 온도보다 낮을수록 요구되는 공조 소비 전력량이 높게 산출될 수 있다. 따라서 설정 온도가 현재 실내 온도보다 낮을수록, 배터리(23)의 현재 잔량으로 주행 가능한 범위는 작아질 수 있다. 다시 말해, 설정 온도가 현재 실내 온도보다 낮을수록, 배터리(23)에 의한 주행 가능 거리가 줄어들게 된다.Referring to FIG. 6 , the AVN device 120 may display a different driving range for each set temperature. The AVN device 120 may display a plurality of drivable ranges 601 and 602 for a plurality of set temperatures. For example, if the current room temperature is 24

If the set temperature is 24

The drivable range 601 when the set temperature is 22

It may be displayed wider than the drivable range 602 when . As the set temperature is lower than the current indoor temperature, the required amount of power consumption for air conditioning may be calculated to be higher. Accordingly, as the set temperature is lower than the current indoor temperature, the driving range with the current remaining amount of the battery 23 may be reduced. In other words, as the set temperature is lower than the current indoor temperature, the drivable distance by the battery 23 is reduced.

As described above, the disclosed vehicle and the vehicle control method can accurately predict the required amount of air conditioning power consumption and the drivable distance when driving to the destination while operating the air conditioning device.

In addition, the disclosed vehicle and vehicle control method may obtain air conditioning data used in the same environment as the driving route to the destination and the weather of the corresponding driving route from the server, and accurately predict the amount of air conditioning power consumption by using the obtained air conditioning data. .

Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium storing instructions executable by a computer. Instructions may be stored in the form of program code, and when executed by a processor, may create a program module to perform the operations of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

The computer-readable recording medium includes any type of recording medium in which instructions readable by the computer are stored. For example, there may be a read only memory (ROM), a random access memory (RAM), a magnetic tape, a magnetic disk, a flash memory, an optical data storage device, and the like.

The disclosed embodiments have been described with reference to the accompanying drawings as described above. Those of ordinary skill in the art to which the present invention pertains will understand that the present invention may be practiced in other forms than the disclosed embodiments without changing the technical spirit or essential features of the present invention. The disclosed embodiments are illustrative and should not be construed as limiting.

1: vehicle
21: motor
23: battery
110: communication department
120: AVN device
130: sensor
140: air conditioning unit
200: control unit

Claims (20)

calculating a travel route to a destination;
predicting a change in weather for the driving route by acquiring the departure weather information and the destination weather information from the server;
acquiring at least one air conditioning data corresponding to the driving route and the predicted weather change from the server;
calculating an air conditioning power consumption required when driving on the driving route by using the at least one air conditioning data; and
and predicting a drivable distance (DTE) of a battery for the driving route by reflecting the air conditioning power consumption. According to claim 1,
Acquiring the at least one air conditioning data comprises:
Extracting the at least one air conditioning data including route data corresponding to the driving route and weather change data identical to the predicted weather change from among the plurality of air conditioning data stored in the server; . 3. The method of claim 2,
Extracting the at least one air conditioning data,
and extracting the route data based on a ratio for each road type included in the driving route. 3. The method of claim 2,
Measuring the room temperature at the starting point using a sensor; further comprising,
Extracting the at least one air conditioning data,
and extracting the at least one air conditioning data including the same indoor temperature data as the measured indoor temperature. 3. The method of claim 2,
Extracting the at least one air conditioning data,
The control method of a vehicle further comprising; extracting the at least one air conditioning data including the same set temperature data as the set temperature input by the user; 3. The method of claim 2,
Extracting the at least one air conditioning data,
and filtering abnormal data among the at least one air conditioning data based on an average value and a standard deviation of at least one amount of power consumption included in the at least one air conditioning data. 7. The method of claim 6,
Filtering the abnormal data is,
When the standard deviation exceeds a predetermined reference value, filtering the abnormal data that is outside a predetermined error range from the average value of the at least one air conditioning data; Vehicle control method comprising a. 7. The method of claim 6,
Calculating the air conditioning power consumption is,
and calculating an average value of the at least one power consumption amount included in the at least one air conditioning data filtered by the abnormal data as the air conditioning power consumption amount. According to claim 1,
Predicting the drivable distance of the battery comprises:
calculating an air conditioning reflected fuel efficiency based on a reference fuel efficiency and the air conditioning power consumption; and
and calculating a value obtained by multiplying the current available electric power of the battery by the air-conditioning reflected fuel efficiency as the drivable distance of the battery. According to claim 1,
Predicting the weather change is
and predicting a change in external temperature and a change in insolation based on the departure weather information and the destination weather information. battery;
a communication unit that communicates with the server;
an AVN device that receives a destination input from a user and calculates a driving route to the destination;
an air conditioner for flowing air in the vehicle; and
Obtaining departure weather information and destination weather information from the server to predict a weather change for the driving route, and acquiring at least one air conditioning data corresponding to the driving route and the predicted weather change from the server and calculating the amount of power consumption for air conditioning required when driving along the driving route using the at least one air conditioning data, and reflecting the amount of power consumption for air conditioning, the drivable distance of the battery for the driving route (DTE, Distance To Empty) A vehicle comprising a; a control unit for predicting. 12. The method of claim 11,
the control unit
and extracting the at least one air conditioning data including route data corresponding to the driving route and weather change data identical to the predicted weather change from among the plurality of air conditioning data stored in the server. 13. The method of claim 12,
the control unit
and extracting the route data based on a ratio for each road type included in the driving route. 13. The method of claim 12,
A sensor for measuring the indoor temperature of the vehicle; further comprising,
the control unit
A vehicle, comprising: acquiring a measured indoor temperature at a departure location, and extracting the at least one air conditioning data including the same indoor temperature data as the measured indoor temperature. 13. The method of claim 12,
the control unit
and extracting the at least one air conditioning data including set temperature data identical to a set temperature input by the user. 13. The method of claim 12,
the control unit
Filtering abnormal data among the at least one air conditioning data based on an average value and a standard deviation of at least one amount of power consumption included in the at least one air conditioning data. 17. The method of claim 16,
the control unit
When the standard deviation exceeds a predetermined reference value, filtering the abnormal data that is outside a predetermined error range from the average value among the at least one air conditioning data. 17. The method of claim 16,
the control unit
and calculating, as the air conditioning power consumption, an average value of the at least one power consumption amount included in the at least one air conditioning data filtered by the abnormal data. 12. The method of claim 11,
the control unit
A vehicle comprising: calculating an air conditioning reflected fuel efficiency based on a reference fuel efficiency and the air conditioning power consumption; and calculating a value obtained by multiplying the current available electric power of the battery by the air conditioning reflected fuel efficiency as a driving distance of the battery. 12. The method of claim 11,
the control unit
A vehicle for predicting an external temperature change and a change in insolation based on the departure weather information and the destination weather information.

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